Understanding Obesity as a Multisystem Disease: Advancing Research, Redefining Diagnostic Criteria, and Establishing Modern Therapeutic Approaches
Abstract
1. Introduction
2. Search Strategy and Literature Identification
3. Obesity
3.1. Metabolically Healthy Obesity (MHO)
3.2. Metabolically Abnormal Obesity (MAO)
3.3. Sarcopenic Obesity
4. Factors Contributing to Obesity
5. Obesity-Related Metabolic Disorders
5.1. Type 2 Diabetes Mellitus (T2DM)
5.2. Metabolic-Associated Steatotic Liver Diseases (MASLD)
5.3. Cardiovascular Diseases
5.4. Cholesterol Cholelithiasis
6. Obesity in Young People
7. Advancing Obesity Research and Redefining Diagnostic Criteria
8. Strategies for Losing Weight in Adults
8.1. Interventions for Preclinical Obesity
8.1.1. Physical Activity
8.1.2. Dietary Approaches and Macronutrient Patterns
Ketogenic Diet
Very Low-Calorie Diet (VLCD)
High-Protein Diet
Low-Fat Diet
Mediterranean Diet (MD)
8.1.3. Fasting Regimens
Alternate-Day Fasting (ADF)
Time-Restricted Eating (TRE)
The 16:8 Method
Ramadan IF
8.1.4. Natural Compounds, Functional Foods, and Nutraceuticals
8.2. Interventions for Clinical Obesity
8.2.1. Antiobesity Drugs
GLP-1-Based Therapy the GLP-1 (Glucagon-like Peptide-1)-Based Drugs
CNS Stimulants/Appetite Suppressants
Lipase Inhibitors
8.2.2. Bariatric Surgery
Sleeve Gastrectomy (SG)
Roux-en-Y Gastric Bypass (RYGB)
Adjustable Gastric Banding (AGB)
Elipse Gastric Balloon(s)
9. Strategies for Losing Weight in Children
10. Discussion
11. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| ADF | Alternate-day fasting |
| AGB | Adjustable gastric banding |
| AKT | Protein kinase B |
| AMPK | AMP-activated protein kinase |
| ASCVD | Atherosclerotic cardiovascular disease |
| ATP | Adenosine triphosphate |
| BA | Bile acids |
| BAT | Brown adipose tissue |
| BeAT | Beige adipose tissue |
| BMI | Body mass index |
| CDC | Centers for Disease Control and Prevention |
| CI | Confidence interval |
| CNS | Central nervous system |
| CT | Computed tomography |
| CVD | Cardiovascular disease |
| DALYs | Disability-adjusted life years |
| EASO | European Association for the Study of Obesity |
| FFAs | Free fatty acids |
| GBD | Global Burden of Disease |
| GERD | Gastroesophageal reflux disease |
| GIP | Glucose-dependent insulinotropic polypeptide |
| GLP-1 | Glucagon-like peptide-1 |
| GLP-1RA | Glucagon-like peptide-1 receptor agonists |
| GLUT4 | Glucose transporter type 4 |
| HDL | High-density lipoprotein |
| HRQoL | Health-related quality of life |
| IF | Intermittent fasting |
| IGBs | Intragastric balloons |
| LDL | Low-density lipoprotein |
| MACE | Major Adverse Cardiovascular Events |
| MASLD | Metabolic dysfunction-associated steatotic liver disease |
| MASH | Metabolic-associated steatohepatitis |
| MAO | Metabolically abnormal obesity |
| MD | Mean difference |
| MeSH | Medical Subject Headings |
| MHO | Metabolically healthy obesity |
| MRI | Magnetic resonance imaging |
| MR | Mendelian randomization |
| NCDs | Non-communicable diseases |
| NEFA | Non-esterified fatty acids |
| NIH | National Institutes of Health |
| PCOS | Polycystic ovarian syndrome |
| PI3K | Phosphoinositide 3-kinase |
| PPARγ | Peroxisome proliferator-activated receptor gamma |
| RAAS | Renin–angiotensin–aldosterone system |
| RCT | Randomized controlled trial |
| RR | Relative risk |
| RYGB | Roux-en-Y gastric bypass |
| SELECT | Semaglutide Effects on Cardiovascular Outcomes in People with Overweight or Obesity (Clinical Trial) |
| STEP | Semaglutide Treatment Effect in People with Obesity (Clinical Trial Series) |
| SG | Sleeve gastrectomy |
| SIRT1 | Sirtuin 1 |
| T2DM | Type 2 diabetes mellitus |
| TRE | Time-restricted eating |
| UCP1 | Uncoupling protein 1 |
| USA | United States of America |
| VLDL | Very low-density lipoprotein |
| WAT | White adipose tissue |
| WC | Waist circumference |
| WHO | World Health Organization |
| WHR | Waist-to-hip ratio |
| WHtR | Waist-to-height ratio |
References
- World Health Organization. Obesity and Overweight. 2023. Available online: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (accessed on 23 February 2023).
- Ward, Z.J.; Bleich, S.N.; Long, M.W.; Gortmaker, S.L. Association of body mass index with health care expenditures in the United States by age and sex. PLoS ONE 2021, 16, e0247307. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- GBD 2021 Adult BMI Collaborators. Global, regional, and national prevalence of adult overweight and obesity, 1990–2021, with forecasts to 2050: A forecasting study for the Global Burden of Disease Study 2021. Lancet 2025, 405, 813–838. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Chong, B.; Jayabaskaran, J.; Kong, G.; Chan, Y.H.; Chin, Y.H.; Goh, R.; Kannan, S.; Ng, C.H.; Loong, S.; Kueh, M.T.W.; et al. Trends and predictions of malnutrition and obesity in 204 countries and territories: An analysis of the Global Burden of Disease Study 2019. eClinicalMedicine 2023, 57, 101850. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- GBD 2021 Risk Factors Collaborators. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024, 403, 2162–2203. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- The GBD 2015 Obesity Collaborators. Health Effects of Overweight and Obesity in 195 Countries over 25 Years. N. Engl. J. Med. 2017, 377, 13–27. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- GBD 2021 Forecasting Collaborators. Burden of disease scenarios for 204 countries and territories, 2022–2050: A forecasting analysis for the Global Burden of Disease Study 2021. Lancet 2024, 403, 2204–2256. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kong, Y.; Yang, H.; Nie, R.; Zhang, X.; Zuo, F.; Zhang, H.; Nian, X. Obesity: Pathophysiology and therapeutic interventions. Mol. Biomed. 2025, 6, 25. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rinella, M.E.; Sookoian, S. From NAFLD to MASLD: Updated naming and diagnosis criteria for fatty liver disease. J. Lipid Res. 2024, 65, 100485. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Portincasa, P.; Baffy, G. Metabolic dysfunction-associated steatotic liver disease: Evolution of the final terminology. Eur. J. Intern. Med. 2024, 124, 35–39. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Carbone, F.; Despres, J.P.; Ioannidis, J.P.A.; Neeland, I.J.; Garruti, G.; Busetto, L.; Liberale, L.; Ministrini, S.; Vilahur, G.; Schindler, T.H.; et al. Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation. Eur. J. Clin. Investig. 2025, 55, e70059. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Portincasa, P.; Di Ciaula, A.; Bonfrate, L.; Stella, A.; Garruti, G.; Lamont, J.T. Metabolic dysfunction-associated gallstone disease: Expecting more from critical care manifestations. Intern. Emerg. Med. 2023, 18, 1897–1918. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Portincasa, P.; Di Ciaula, A.; Palmieri, V.; Van Berge-Henegouwen, G.P.; Palasciano, G. Effects of cholestyramine on gallbladder and gastric emptying in obese and lean subjects. Eur. J. Clin. Investig. 1995, 25, 746–753. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Di Ciaula, A.; Wang, D.Q.; Portincasa, P. Gallbladder and gastric motility in obese newborns, pre-adolescents and adults. J. Gastroenterol. Hepatol. 2012, 27, 1298–1305. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Peng, W.; Zhang, L.; Wen, F.; Tang, X.; Zeng, L.; Chen, J.; Galea, G.; Wen, D.; Wang, Y. Trends and disparities in non-communicable diseases in the Western Pacific region. Lancet Reg. Health West Pac. 2024, 43, 100938. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lin, X.; Li, H. Obesity: Epidemiology, Pathophysiology, and Therapeutics. Front. Endocrinol. 2021, 12, 706978. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Soerjomataram, I.; Bray, F. Planning for tomorrow: Global cancer incidence and the role of prevention 2020–2070. Nat. Rev. Clin. Oncol. 2021, 18, 663–672. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Centers for Disease; Center to Advance Palliative Care (CAPC). Obesity. 2025. Available online: https://www.cdc.gov/obesity/php/about/index.html (accessed on 10 October 2025).
- Gallagher, D.; Visser, M.; Sepulveda, D.; Pierson, R.N.; Harris, T.; Heymsfield, S.B. How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups? Am. J. Epidemiol. 1996, 143, 228–239. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Jensen, M.D.; Ryan, D.H.; Apovian, C.M.; Ard, J.D.; Comuzzie, A.G.; Donato, K.A.; Hu, F.B.; Hubbard, V.S.; Jakicic, J.M.; Kushner, R.F.; et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. Circulation 2014, 129, S102–S138. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Jensen, M.D.; Ryan, D.H.; Apovian, C.M.; Ard, J.D.; Comuzzie, A.G.; Donato, K.A.; Hu, F.B.; Hubbard, V.S.; Jakicic, J.M.; Kushner, R.F.; et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. J. Am. Coll. Cardiol. 2014, 63, 2985–3023. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Busetto, L.; Dicker, D.; Frühbeck, G.; Halford, J.C.G.; Sbraccia, P.; Yumuk, V.; Goossens, G.H. A new framework for the diagnosis, staging and management of obesity in adults. Nat. Med. 2024, 30, 2395–2399. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Meldrum, D.R.; Morris, M.A.; Gambone, J.C. Obesity pandemic: Causes, consequences, and solutions-but do we have the will? Fertil. Steril. 2017, 107, 833–839. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rigamonti, A.; Brennand, K.; Lau, F.; Cowan, C.A. Rapid cellular turnover in adipose tissue. PLoS ONE 2011, 6, e17637. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rosen, E.D.; Spiegelman, B.M. What we talk about when we talk about fat. Cell 2014, 156, 20–44. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Shen, W.; Wang, Z.; Punyanita, M.; Lei, J.; Sinav, A.; Kral, J.G.; Imielinska, C.; Ross, R.; Heymsfield, S.B. Adipose tissue quantification by imaging methods: A proposed classification. Obes. Res. 2003, 11, 5–16. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sebo, Z.L.; Rodeheffer, M.S. Assembling the adipose organ: Adipocyte lineage segregation and adipogenesis in vivo. Development 2019, 146, dev172098. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Gallo, G.; Desideri, G.; Savoia, C. Update on Obesity and Cardiovascular Risk: From Pathophysiology to Clinical Management. Nutrients 2024, 16, 2781. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Garruti, G.; Ricquier, D. Analysis of uncoupling protein and its mRNA in adipose tissue deposits of adult humans. Int. J. Obes. Relat. Metab. Disord. 1992, 16, 383–390. [Google Scholar] [PubMed]
- Nicholls, D.G.; Locke, R.M. Thermogenic mechanisms in brown fat. Physiol. Rev. 1984, 64, 1–64. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Pilkington, A.C.; Paz, H.A.; Wankhade, U.D. Beige Adipose Tissue Identification and Marker Specificity-Overview. Front. Endocrinol. 2021, 12, 599134. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Prapaharan, B.; Lea, M.; Beaudry, J.L. Weighing in on the role of brown adipose tissue for treatment of obesity. J. Pharm. Pharm. Sci. 2024, 27, 13157. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bartelt, A.; Heeren, J. Adipose tissue browning and metabolic health. Nat. Rev. Endocrinol. 2014, 10, 24–36. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Himms-Hagen, J.; Melnyk, A.; Zingaretti, M.C.; Ceresi, E.; Barbatelli, G.; Cinti, S. Multilocular fat cells in WAT of CL-316243-treated rats derive directly from white adipocytes. Am. J. Physiol. Cell Physiol. 2000, 279, C670–C681. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wu, J.; Bostrom, P.; Sparks, L.M.; Ye, L.; Choi, J.H.; Giang, A.H.; Khandekar, M.; Virtanen, K.A.; Nuutila, P.; Schaart, G.; et al. Beige adipocytes are a distinct type of thermogenic fat cell in mouse and human. Cell 2012, 150, 366–376. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yoneshiro, T.; Aita, S.; Matsushita, M.; Kayahara, T.; Kameya, T.; Kawai, Y.; Iwanaga, T.; Saito, M. Recruited brown adipose tissue as an antiobesity agent in humans. J. Clin. Investig. 2013, 123, 3404–3408. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhang, J.; Wu, H.; Ma, S.; Gao, L.; Yu, C.; Jing, F.; Zhao, J. TSH promotes adiposity by inhibiting the browning of white fat. Adipocyte 2020, 9, 264–278. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Vishvanath, L.; Gupta, R.K. Contribution of adipogenesis to healthy adipose tissue expansion in obesity. J. Clin. Investig. 2019, 129, 4022–4031. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Huang, L.; Guo, Z.; Huang, M.; Zeng, X.; Huang, H. Triiodothyronine (T3) promotes browning of white adipose through inhibition of the PI3K/AKT signalling pathway. Sci. Rep. 2024, 14, 20370. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Carobbio, S.; Pellegrinelli, V.; Vidal-Puig, A. Adipose Tissue Dysfunction Determines Lipotoxicity and Triggers the Metabolic Syndrome: Current Challenges and Clinical Perspectives. In Obesity and Lipotoxicity; Engin, A.B., Engin, A., Eds.; Springer International Publishing: Cham, Switzerland, 2024; pp. 231–272. [Google Scholar]
- Pallio, G. New Insights into Adipose Tissue Metabolic Function and Dysfunction. Int. J. Mol. Sci. 2023, 24, 9953. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kim, J.A.; Choi, K.M. Newly Discovered Adipokines: Pathophysiological Link Between Obesity and Cardiometabolic Disorders. Front. Physiol. 2020, 11, 568800. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Datta, S.; Koka, S.; Boini, K.M. Understanding the Role of Adipokines in Cardiometabolic Dysfunction: A Review of Current Knowledge. Biomolecules 2025, 15, 612. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Munoz-Garach, A.; Cornejo-Pareja, I.; Tinahones, F.J. Does Metabolically Healthy Obesity Exist? Nutrients 2016, 8, 320. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Puri, R. Is it finally time to dispel the concept of metabolically-healthy obesity? J. Am. Coll. Cardiol. 2014, 63, 2687–2688. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Maki, Y.; Nunoi, N.; Kikuchi, M.; Fujishima, M. A profile of plasma branched chain amino acids in a totally pancreatectomized patient: Effects of glucagon replacement under a steady feeding state. Horm. Metab. Res. 1987, 19, 226–227. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Navarro, E.; Funtikova, A.N.; Fito, M.; Schroder, H. Can metabolically healthy obesity be explained by diet, genetics, and inflammation? Mol. Nutr. Food Res. 2015, 59, 75–93. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wang, Y.C.; Liang, C.S.; Gopal, D.M.; Ayalon, N.; Donohue, C.; Santhanakrishnan, R.; Sandhu, H.; Perez, A.J.; Downing, J.; Gokce, N.; et al. Preclinical Systolic and Diastolic Dysfunctions in Metabolically Healthy and Unhealthy Obese Individuals. Circ. Heart Fail. 2015, 8, 897–904. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Du, T.; Zhang, J.; Yuan, G.; Zhang, M.; Zhou, X.; Liu, Z.; Sun, X.; Yu, X. Nontraditional risk factors for cardiovascular disease and visceral adiposity index among different body size phenotypes. Nutr. Metab. Cardiovasc. Dis. 2015, 25, 100–107. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Tyrovolas, S.; Koyanagi, A.; Olaya, B.; Ayuso-Mateos, J.L.; Miret, M.; Chatterji, S.; Tobiasz-Adamczyk, B.; Koskinen, S.; Leonardi, M.; Haro, J.M. Factors associated with skeletal muscle mass, sarcopenia, and sarcopenic obesity in older adults: A multi-continent study. J. Cachexia Sarcopenia Muscle 2016, 7, 312–321. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sakuma, K.; Yamaguchi, A. Sarcopenic obesity and endocrinal adaptation with age. Int. J. Endocrinol. 2013, 2013, 204164. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bluher, M. Metabolically Healthy Obesity. Endocr. Rev. 2020, 41, bnaa004. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Cermakova, E.; Forejt, M. Metabolically healthy obesity and health risks—A review of meta-analyses. Cent. Eur. J. Public Health 2024, 32, 3–8. [Google Scholar] [PubMed]
- Petersen, M.C.; Smith, G.I.; Palacios, H.H.; Farabi, S.S.; Yoshino, M.; Yoshino, J.; Cho, K.; Davila-Roman, V.G.; Shankaran, M.; Barve, R.A.; et al. Cardiometabolic characteristics of people with metabolically healthy and unhealthy obesity. Cell Metab. 2024, 36, 745–761.e5. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- The Lancet Diabetes & Endocrinology. Redefining obesity: Advancing care for better lives. Lancet Diabetes Endocrinol. 2025, 13, 75. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Cruz-Jentoft, A.J.; Baeyens, J.P.; Bauer, J.M.; Boirie, Y.; Cederholm, T.; Landi, F.; Martin, F.C.; Michel, J.P.; Rolland, Y.; Schneider, S.M.; et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing 2010, 39, 412–423. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Khalil, M.; Di Ciaula, A.; Jaber, N.; Grandolfo, R.; Fiermonte, F.; Portincasa, P. Multidimensional Assessment of Sarcopenia and Sarcopenic Obesity in Geriatric Patients: Creatinine/Cystatin C Ratio Performs Better than Sarcopenia Index. Metabolites 2024, 14, 306. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Jiang, M.; Ren, X.; Han, L.; Zheng, X. Associations between sarcopenic obesity and risk of cardiovascular disease: A population-based cohort study among middle-aged and older adults using the CHARLS. Clin. Nutr. 2024, 43, 796–802. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Petermann-Rocha, F.; Balntzi, V.; Gray, S.R.; Lara, J.; Ho, F.K.; Pell, J.P.; Celis-Morales, C. Global prevalence of sarcopenia and severe sarcopenia: A systematic review and meta-analysis. J. Cachexia Sarcopenia Muscle 2022, 13, 86–99. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Liu, C.; Wong, P.Y.; Chung, Y.L.; Chow, S.K.; Cheung, W.H.; Law, S.W.; Chan, J.C.N.; Wong, R.M.Y. Deciphering the “obesity paradox” in the elderly: A systematic review and meta-analysis of sarcopenic obesity. Obes. Rev. 2023, 24, e13534. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kim, M.S.; Shim, I.; Fahed, A.C.; Do, R.; Park, W.Y.; Natarajan, P.; Khera, A.V.; Won, H.H. Association of genetic risk, lifestyle, and their interaction with obesity and obesity-related morbidities. Cell Metab. 2024, 36, 1494–1503.e3. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Selman, A.; Dai, J.; Driskill, J.; Reddy, A.P.; Reddy, P.H. Depression and obesity: Focus on factors and mechanistic links. Biochim. Biophys. Acta Mol. Basis Dis. 2025, 1871, 167561. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Welsh, A.; Hammad, M.; Pina, I.L.; Kulinski, J. Obesity and cardiovascular health. Eur. J. Prev. Cardiol. 2024, 31, 1026–1035. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Heindel, J.J.; Howard, S.; Agay-Shay, K.; Arrebola, J.P.; Audouze, K.; Babin, P.J.; Barouki, R.; Bansal, A.; Blanc, E.; Cave, M.C.; et al. Obesity II: Establishing causal links between chemical exposures and obesity. Biochem. Pharmacol. 2022, 199, 115015. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Monteiro, C.A.; Louzada, M.L.; Steele-Martinez, E.; Cannon, G.; Andrade, G.C.; Baker, P.; Bes-Rastrollo, M.; Bonaccio, M.; Gearhardt, A.N.; Khandpur, N.; et al. Ultra-processed foods and human health: The main thesis and the evidence. Lancet 2025, 406, 2667–2684. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bastias-Perez, M.; Serra, D.; Herrero, L. Dietary Options for Rodents in the Study of Obesity. Nutrients 2020, 12, 3234. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Andrade, A.M.; Kresge, D.L.; Teixeira, P.J.; Baptista, F.; Melanson, K.J. Does eating slowly influence appetite and energy intake when water intake is controlled? Int. J. Behav. Nutr. Phys. Act. 2012, 9, 135. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Heianza, Y.; Qi, L. Gene-Diet Interaction and Precision Nutrition in Obesity. Int. J. Mol. Sci. 2017, 18, 787. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Farooqi, I.S. Genetic Obesity Syndromes. In Endotext; Feingold, K.R., Adler, R.A., Ahmed, S.F., Anawalt, B., Blackman, M.R., Chrousos, G., Corpas, E., de Herder, W.W., Dhatariya, K., Dungan, K., et al., Eds.; MDText.com, Inc.: South Dartmouth, MA, USA, 2000. [Google Scholar]
- Chami, N.; Wang, Z.; Svenstrup, V.; Obrero, V.D.; Hemerich, D.; Huang, Y.; Dashti, H.; Manitta, E.; Preuss, M.H.; North, K.E.; et al. Genetic subtyping of obesity reveals biological insights into the uncoupling of adiposity from its cardiometabolic comorbidities. Nat. Med. 2025, 31, 3801–3812. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Semenova, E.; Guo, A.; Liang, H.; Hernandez, C.J.; John, E.B.; Thaker, V.V. The expanding landscape of genetic causes of obesity. Pediatr. Res. 2025, 97, 1358–1369. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Loos, R.J.F.; Yeo, G.S.H. The genetics of obesity: From discovery to biology. Nat. Rev. Genet. 2022, 23, 120–133. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sarwer, D.B.; Polonsky, H.M. The Psychosocial Burden of Obesity. Endocrinol. Metab. Clin. N. Am. 2016, 45, 677–688. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Jones-Corneille, L.R.; Wadden, T.A.; Sarwer, D.B.; Faulconbridge, L.F.; Fabricatore, A.N.; Stack, R.M.; Cottrell, F.A.; Pulcini, M.E.; Webb, V.L.; Williams, N.N. Axis I psychopathology in bariatric surgery candidates with and without binge eating disorder: Results of structured clinical interviews. Obes. Surg. 2012, 22, 389–397. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Carpenter, K.M.; Hasin, D.S.; Allison, D.B.; Faith, M.S. Relationships between obesity and DSM-IV major depressive disorder, suicide ideation, and suicide attempts: Results from a general population study. Am. J. Public Health 2000, 90, 251–257. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Fabricatore, A.N.; Wadden, T.A.; Sarwer, D.B.; Faith, M.S. Health-related quality of life and symptoms of depression in extremely obese persons seeking bariatric surgery. Obes. Surg. 2005, 15, 304–309. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders: DSM-5; American Psychiatric Association: Washington, DC, USA, 2013. [Google Scholar]
- Kalarchian, M.A.; Marcus, M.D.; Levine, M.D.; Courcoulas, A.P.; Pilkonis, P.A.; Ringham, R.M.; Soulakova, J.N.; Weissfeld, L.A.; Rofey, D.L. Psychiatric disorders among bariatric surgery candidates: Relationship to obesity and functional health status. Am. J. Psychiatry 2007, 164, 328–334; quiz 374. [Google Scholar] [CrossRef] [PubMed]
- Egusquiza, R.J.; Blumberg, B. Environmental Obesogens and Their Impact on Susceptibility to Obesity: New Mechanisms and Chemicals. Endocrinology 2020, 161, bqaa024. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Heindel, J.J.; Blumberg, B. Environmental Obesogens: Mechanisms and Controversies. Annu. Rev. Pharmacol. Toxicol. 2019, 59, 89–106. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kanayama, T.; Kobayashi, N.; Mamiya, S.; Nakanishi, T.; Nishikawa, J. Organotin compounds promote adipocyte differentiation as agonists of the peroxisome proliferator-activated receptor gamma/retinoid X receptor pathway. Mol. Pharmacol. 2005, 67, 766–774. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hotamisligil, G.S. Inflammation and metabolic disorders. Nature 2006, 444, 860–867. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wen, X.; Zhang, B.; Wu, B.; Xiao, H.; Li, Z.; Li, R.; Xu, X.; Li, T. Signaling pathways in obesity: Mechanisms and therapeutic interventions. Signal Transduct. Target. Ther. 2022, 7, 298. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Adolph, T.E.; Tilg, H. Western diets and chronic diseases. Nat. Med. 2024, 30, 2133–2147. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Caldart, F.; de Pretis, N.; Luchini, C.; Ciccocioppo, R.; Frulloni, L. Pancreatic steatosis and metabolic pancreatic disease: A new entity? Intern. Emerg. Med. 2023, 18, 2199–2208. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Mazibuko, S.E.; Muller, C.J.; Joubert, E.; de Beer, D.; Johnson, R.; Opoku, A.R.; Louw, J. Amelioration of palmitate-induced insulin resistance in C2C12 muscle cells by rooibos (Aspalathus linearis). Phytomedicine 2013, 20, 813–819. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Aminian, A.; Bena, J.; Pantalone, K.M.; Burguera, B. Association of obesity with postacute sequelae of COVID-19. Diabetes Obes. Metab. 2021, 23, 2183–2188. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kulaj, K.; Harger, A.; Bauer, M.; Caliskan, O.S.; Gupta, T.K.; Chiang, D.M.; Milbank, E.; Reber, J.; Karlas, A.; Kotzbeck, P.; et al. Adipocyte-derived extracellular vesicles increase insulin secretion through transport of insulinotropic protein cargo. Nat. Commun. 2023, 14, 709. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Li, L.; Liu, D.W.; Yan, H.Y.; Wang, Z.Y.; Zhao, S.H.; Wang, B. Obesity is an independent risk factor for non-alcoholic fatty liver disease: Evidence from a meta-analysis of 21 cohort studies. Obes. Rev. 2016, 17, 510–519. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Magkos, F.; Mantzoros, C.S. Body fat redistribution and metabolic abnormalities in HIV-infected patients on highly active antiretroviral therapy: Novel insights into pathophysiology and emerging opportunities for treatment. Metab. Clin. Exp. 2011, 60, 749–753. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Mazzoccoli, G.; De Cosmo, S.; Mazza, T. The Biological Clock: A Pivotal Hub in Non-alcoholic Fatty Liver Disease Pathogenesis. Front. Physiol. 2018, 9, 193. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Portincasa, P.; Khalil, M.; Mahdi, L.; Perniola, V.; Idone, V.; Graziani, A.; Baffy, G.; Di Ciaula, A. Metabolic Dysfunction-Associated Steatotic Liver Disease: From Pathogenesis to Current Therapeutic Options. Int. J. Mol. Sci. 2024, 25, 5640. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Basil, B.; Myke-Mbata, B.K.; Eze, O.E.; Akubue, A.U. From adiposity to steatosis: Metabolic dysfunction-associated steatotic liver disease, a hepatic expression of metabolic syndrome—Current insights and future directions. Clin. Diabetes Endocrinol. 2024, 10, 39. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rosengren, A. Obesity and cardiovascular health: The size of the problem. Eur. Heart J. 2021, 42, 3404–3406. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Dwivedi, A.K.; Dubey, P.; Cistola, D.P.; Reddy, S.Y. Association Between Obesity and Cardiovascular Outcomes: Updated Evidence from Meta-analysis Studies. Curr. Cardiol. Rep. 2020, 22, 25. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Alpert, M.A.; Omran, J.; Bostick, B.P. Effects of Obesity on Cardiovascular Hemodynamics, Cardiac Morphology, and Ventricular Function. Curr. Obes. Rep. 2016, 5, 424–434. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- McGill, H.C., Jr.; McMahan, C.A.; Herderick, E.E.; Malcom, G.T.; Tracy, R.E.; Strong, J.P. Origin of atherosclerosis in childhood and adolescence. Am. J. Clin. Nutr. 2000, 72, 1307S–1315S. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Chung, S.T.; Onuzuruike, A.U.; Magge, S.N. Cardiometabolic risk in obese children. Ann. N. Y. Acad. Sci. 2018, 1411, 166–183. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Caprio, S.; Santoro, N.; Weiss, R. Childhood obesity and the associated rise in cardiometabolic complications. Nat. Metab. 2020, 2, 223–232. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Woo, J.G.; Zhang, N.; Fenchel, M.; Jacobs, D.R., Jr.; Hu, T.; Urbina, E.M.; Burns, T.L.; Raitakari, O.; Steinberger, J.; Bazzano, L.; et al. Prediction of adult class II/III obesity from childhood BMI: The i3C consortium. Int. J. Obes. 2020, 44, 1164–1172. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hu, T.; Jacobs, D.R., Jr.; Sinaiko, A.R.; Bazzano, L.A.; Burns, T.L.; Daniels, S.R.; Dwyer, T.; Hutri-Kahonen, N.; Juonala, M.; Murdy, K.A.; et al. Childhood BMI and Fasting Glucose and Insulin Predict Adult Type 2 Diabetes: The International Childhood Cardiovascular Cohort (i3C) Consortium. Diabetes Care 2020, 43, 2821–2829. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Li, L.; Perez, A.; Wu, L.T.; Ranjit, N.; Brown, H.S.; Kelder, S.H. Cardiometabolic Risk Factors among Severely Obese Children and Adolescents in the United States, 1999–2012. Child. Obes. 2016, 12, 12–19. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Chung, S.T.; Katz, L.E.L.; Stettler-Davis, N.; Shults, J.; Sherman, A.; Ha, J.; Stefanovski, D.; Boston, R.C.; Rader, D.J.; Magge, S.N. The Relationship Between Lipoproteins and Insulin Sensitivity in Youth with Obesity and Abnormal Glucose Tolerance. J. Clin. Endocrinol. Metab. 2022, 107, 1541–1551. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Portincasa, P.; vanErpecum, K.J.; Jansen, A.; Renooij, W.; Gadellaa, M.; vanBergeHenegouwen, G.P. Behavior of various cholesterol crystals in bile from patients with gallstones. Hepatology 1996, 23, 738–748. [Google Scholar] [CrossRef] [PubMed]
- Portincasa, P.; Moschetta, A.; Palasciano, G. Cholesterol gallstone disease. Lancet 2006, 368, 230–239. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lammert, F.; Gurusamy, K.; Ko, C.W.; Miquel, J.F.; Mendez-Sanchez, N.; Portincasa, P.; van Erpecum, K.J.; van Laarhoven, C.J.; Wang, D.Q. Gallstones. Nat. Rev. Dis. Primers 2016, 2, 16024. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wang, X.; Yu, W.; Jiang, G.; Li, H.; Li, S.; Xie, L.; Bai, X.; Cui, P.; Chen, Q.; Lou, Y.; et al. Global Epidemiology of Gallstones in the 21st Century: A Systematic Review and Meta-Analysis. Clin. Gastroenterol. Hepatol. 2024, 22, 1586–1595. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Stinton, L.M.; Myers, R.P.; Shaffer, E.A. Epidemiology of gallstones. Gastroenterol. Clin. N. Am. 2010, 39, 157–169. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Liu, L.; Zhang, L.; Liao, Y.; Jin, X.; Chen, Y.; Yang, T.; Li, X.; Cao, Y.; Yu, C.; Xiao, C.; et al. Age-specific childhood obesity and adult cholelithiasis: Association and shared transcriptomic bases. Int. J. Obes. 2025, 49, 2295–2302. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Schafmayer, C.; Hartleb, J.; Tepel, J.; Albers, S.; Freitag, S.; Völzke, H.; Buch, S.; Seeger, M.; Timm, B.; Kremer, B.; et al. Predictors of gallstone composition in 1025 symptomatic gallstones from Northern Germany. BMC Gastroenterol. 2006, 6, 36. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Stinton, L.M.; Shaffer, E.A. Epidemiology of gallbladder disease: Cholelithiasis and cancer. Gut Liver 2012, 6, 172–187. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Koller, T.; Kollerova, J.; Hlavaty, T.; Huorka, M.; Payer, J. Cholelithiasis and markers of nonalcoholic fatty liver disease in patients with metabolic risk factors. Scand. J. Gastroenterol. 2012, 47, 197–203. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bortnichak, E.A.; Freeman, D.H., Jr.; Ostfeld, A.M.; Castelli, W.P.; Kannel, W.B.; Feinleib, M.; McNamara, P.M. The association between cholesterol cholelithiasis and coronary heart disease in Framingham, Massachusetts. Am. J. Epidemiol. 1985, 121, 19–30. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Frybova, B.; Drabek, J.; Lochmannova, J.; Douda, L.; Hlava, S.; Zemkova, D.; Mixa, V.; Kyncl, M.; Zeman, L.; Rygl, M.; et al. Cholelithiasis and choledocholithiasis in children; risk factors for development. PLoS ONE 2018, 13, e0196475. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Fradin, K.; Racine, A.D.; Belamarich, P.F. Obesity and symptomatic cholelithiasis in childhood: Epidemiologic and case-control evidence for a strong relation. J. Pediatr. Gastroenterol. Nutr. 2014, 58, 102–106. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hendarto, H.; Akbar, F.N.; Muzakki, J.B.; Amri, R.A.; Nugraha, S.N.A.; Adlani, H. Obesity, dyslipidemia, and diabetes mellitus as risk factors in cholelithiasis. Electron. J. Gen. Med. 2023, 20, em549. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Chen, L.; Yang, H.; Li, H.; He, C.; Yang, L.; Lv, G. Insights into modifiable risk factors of cholelithiasis: A Mendelian randomization study. Hepatology 2022, 75, 785–796. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kharga, B.; Sharma, B.K.; Singh, V.K.; Nishant, K.; Bhutia, P.; Tamang, R.; Jain, N. Obesity Not Necessary, Risk of Symptomatic Cholelithiasis Increases as a Function of BMI. J. Clin. Diagn. Res. 2016, 10, PC28–PC32. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yuan, S.; Ruan, X.; Sun, Y.; Fu, T.; Zhao, J.; Deng, M.; Chen, J.; Li, X.; Larsson, S.C. Birth weight, childhood obesity, adulthood obesity and body composition, and gastrointestinal diseases: A Mendelian randomization study. Obesity 2023, 31, 2603–2614. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Xu, X.; Gao, J.; Sun, J.; Liu, R.; Chen, W. The role of metabolic factors in the association between obesity and cholelithiasis: A two-step, two-sample multivariable mendelian randomization study. Clinics 2024, 79, 100520. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Skinner, A.C.; Ravanbakht, S.N.; Skelton, J.A.; Perrin, E.M.; Armstrong, S.C. Prevalence of Obesity and Severe Obesity in US Children, 1999–2016. Pediatrics 2018, 141, e20173459. [Google Scholar] [CrossRef] [PubMed]
- Mahase, E. Global cost of overweight and obesity will hit $4.32tn a year by 2035, report warns. BMJ 2023, 380, 523. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- World Health Organization (WHO). Noncommunicable Diseases: Childhood Overweight and Obesity. 2025. Available online: https://www.who.int/news-room/questions-and-answers/item/noncommunicable-diseases-childhood-overweight-and-obesity#:~:text=Overweight%20and%20obese%20children%20are%20likely%20to%20stay,well%20as%20their%20related%20diseases%2C%20are%20largely%20preventable (accessed on 15 May 2025).
- Huang, A.; Reinehr, T.; Roth, C.L. Connections Between Obesity and Puberty: Invited by Manuel Tena-Sempere, Cordoba. Curr. Opin. Endocr. Metab. Res. 2020, 14, 160–168. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Jebeile, H.; Kelly, A.S.; O’Malley, G.; Baur, L.A. Obesity in children and adolescents: Epidemiology, causes, assessment, and management. Lancet Diabetes Endocrinol. 2022, 10, 351–365. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Vourdoumpa, A.; Paltoglou, G.; Charmandari, E. The Genetic Basis of Childhood Obesity: A Systematic Review. Nutrients 2023, 15, 1416. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- The Lancet. Ultra-processed foods: Time to put health before profit. Lancet 2025, 406, 2601. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Matji, J.N.; Brero, M. Protecting children from ultra-processed foods. Lancet 2025, 406, 2610–2612. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- French, S.A.; Tangney, C.C.; Crane, M.M.; Wang, Y.; Appelhans, B.M. Nutrition quality of food purchases varies by household income: The SHoPPER study. BMC Public Health 2019, 19, 231. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Daniel, C. Is healthy eating too expensive?: How low-income parents evaluate the cost of food. Soc. Sci. Med. 2020, 248, 112823. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- De Cosmi, V.; Scaglioni, S.; Agostoni, C. Early Taste Experiences and Later Food Choices. Nutrients 2017, 9, 107. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sani, S.L.; Alfaraidi, S.; Mu, Y.; Sinaga, G.H.; Singhal, A. The Effect of Portion Size Interventions on Energy Intake and Risk of Obesity in School-Aged Children: A Systematic Review and Meta-Analysis. Nutrients 2025, 17, 2911. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bejarano, C.M.; Carlson, J.A.; Conway, T.L.; Saelens, B.E.; Glanz, K.; Couch, S.C.; Cain, K.L.; Sallis, J.F. Physical Activity, Sedentary Time, and Diet as Mediators of the Association Between TV Time and BMI in Youth. Am. J. Health Promot. 2021, 35, 613–623. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Faienza, M.F.; Acquafredda, A.; Tesse, R.; Luce, V.; Ventura, A.; Maggialetti, N.; Monteduro, M.; Giordano, P.; Cavallo, L. Risk factors for subclinical atherosclerosis in diabetic and obese children. Int. J. Med. Sci. 2013, 10, 338–343. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Miniello, V.L.; Faienza, M.F.; Scicchitano, P.; Cortese, F.; Gesualdo, M.; Zito, A.; Basile, M.; Recchia, P.; Leogrande, D.; Viola, D.; et al. Insulin resistance and endothelial function in children and adolescents. Int. J. Cardiol. 2014, 174, 343–347. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Swinburn, B.; Sacks, G.; Vandevijvere, S.; Kumanyika, S.; Lobstein, T.; Neal, B.; Barquera, S.; Friel, S.; Hawkes, C.; Kelly, B.; et al. INFORMAS (International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support): Overview and key principles. Obes. Rev. 2013, 14, 1–12. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Corvalán, C.; Reyes, M.; Garmendia, M.L.; Uauy, R. Structural responses to the obesity and non-communicable diseases epidemic: Update on the Chilean law of food labelling and advertising. Obes. Rev. 2019, 20, 367–374. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Paraje, G.; Valdés, N.; Macaya, A.V.; Corvalán, C.; Popkin, B. The impact of Chile’s multipronged food labelling and advertising law on early childhood excess weight: A cohort difference-in-differences study. Lancet 2026, 407, 2630–2640. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- World Health Organization (WHO). Controlling the Global Obesity Epidemic. 2025. Available online: https://www.who.int/activities/controlling-the-global-obesity-epidemic (accessed on 6 April 2025).
- Flegal, K.M. Redefining Obesity—Too Much Is Never Enough. JAMA Netw. Open 2025, 8, e2537637. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yanovski, S.Z.; Yanovski, J.A. Approach to Obesity Treatment in Primary Care: A Review. JAMA Intern. Med. 2024, 184, 818–829. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kawai, T.; Autieri, M.V.; Scalia, R. Adipose tissue inflammation and metabolic dysfunction in obesity. Am. J. Physiol. Cell Physiol. 2021, 320, C375–C391. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Di Ciaula, A.; Bonfrate, L.; Khalil, M.; Garruti, G.; Portincasa, P. Contribution of the microbiome for better phenotyping of people living with obesity. Rev. Endocr. Metab. Disord. 2023, 24, 839–870. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Portincasa, P.; Khalil, M.; Graziani, A.; Frühbeck, G.; Baffy, G.; Garruti, G.; Di Ciaula, A.; Bonfrate, L. Gut microbes in metabolic disturbances. Promising role for therapeutic manipulations? Eur. J. Intern. Med. 2024, 119, 13–30. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Dikaiou, P.; Bjorck, L.; Adiels, M.; Lundberg, C.E.; Mandalenakis, Z.; Manhem, K.; Rosengren, A. Obesity, overweight and risk for cardiovascular disease and mortality in young women. Eur. J. Prev. Cardiol. 2021, 28, 1351–1359. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Anazco, D.; Acosta, A. Precision medicine for obesity: Current evidence and insights for personalization of obesity pharmacotherapy. Int. J. Obes. 2025, 49, 452–463. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Fourman, L.T.; Awwad, A.; Gutiérrez-Sacristán, A.; Dash, C.A.; Johnson, J.E.; Thistle, A.K.; Chahal, N.; Stockman, S.L.; Toribio, M.; Anekwe, C.; et al. Implications of a New Obesity Definition Among the All of Us Cohort. JAMA Netw. Open 2025, 8, e2537619. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hampl, S.E.; Hassink, S.G.; Skinner, A.C.; Armstrong, S.C.; Barlow, S.E.; Bolling, C.F.; Avila Edwards, K.C.; Eneli, I.; Hamre, R.; Joseph, M.M.; et al. Clinical Practice Guideline for the Evaluation and Treatment of Children and Adolescents with Obesity. Pediatrics 2023, 151, e2022060640. [Google Scholar] [CrossRef] [PubMed]
- O’Connor, L.E.; Lopez-Perez, L.; Martinez, R.X.; Spill, M.K.; Peña-Rosas, J.P.; MacFarlane, A.J. Report of a Meeting: An Expert Consultation on Body Composition and Adiposity for Children and Adolescents in All Their Diversity. Curr. Dev. Nutr. 2025, 9, 107475. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Elmaleh-Sachs, A.; Schwartz, J.L.; Bramante, C.T.; Nicklas, J.M.; Gudzune, K.A.; Jay, M. Obesity Management in Adults: A Review. JAMA 2023, 330, 2000–2015. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rubino, F.; Cummings, D.E.; Eckel, R.H.; Cohen, R.V.; Wilding, J.P.H.; Brown, W.A.; Stanford, F.C.; Batterham, R.L.; Farooqi, I.S.; Farpour-Lambert, N.J.; et al. Definition and diagnostic criteria of clinical obesity. Lancet Diabetes Endocrinol. 2025, 13, 221–262. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Cao, Z.; Min, J.; Xu, C. Accelerometer-derived “weekend warrior” physical activity pattern and incident type 2 diabetes. Cardiovasc. Diabetol. 2025, 24, 130. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Alkedeh, O.; Priefer, R. The Ketogenic Diet: Breath Acetone Sensing Technology. Biosensors 2021, 11, 26. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hayashi, A.; Kumada, T.; Nozaki, F.; Hiejima, I.; Miyajima, T.; Fujii, T. Changes in serum levels of selenium, zinc and copper in patients on a ketogenic diet using Ketonformula. NO Hattatsu 2013, 45, 288–293. [Google Scholar] [CrossRef]
- Lorenzo, P.M.; Sajoux, I.; Izquierdo, A.G.; Gomez-Arbelaez, D.; Zulet, M.A.; Abete, I.; Castro, A.I.; Baltar, J.; Portillo, M.P.; Tinahones, F.J.; et al. Immunomodulatory effect of a very-low-calorie ketogenic diet compared with bariatric surgery and a low-calorie diet in patients with excessive body weight. Clin. Nutr. 2022, 41, 1566–1577. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Aragon, A.A.; Schoenfeld, B.J.; Wildman, R.; Kleiner, S.; VanDusseldorp, T.; Taylor, L.; Earnest, C.P.; Arciero, P.J.; Wilborn, C.; Kalman, D.S.; et al. International society of sports nutrition position stand: Diets and body composition. J. Int. Soc. Sports Nutr. 2017, 14, 16. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Brown, R.E.; Canning, K.L.; Fung, M.; Jiandani, D.; Riddell, M.C.; Macpherson, A.K.; Kuk, J.L. Calorie Estimation in Adults Differing in Body Weight Class and Weight Loss Status. Med. Sci. Sports Exerc. 2016, 48, 521–526. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Gomez-Arbelaez, D.; Bellido, D.; Castro, A.I.; Ordonez-Mayan, L.; Carreira, J.; Galban, C.; Martinez-Olmos, M.A.; Crujeiras, A.B.; Sajoux, I.; Casanueva, F.F. Body Composition Changes After Very-Low-Calorie Ketogenic Diet in Obesity Evaluated by 3 Standardized Methods. J. Clin. Endocrinol. Metab. 2017, 102, 488–498. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Moon, J.; Koh, G. Clinical Evidence and Mechanisms of High-Protein Diet-Induced Weight Loss. J. Obes. Metab. Syndr. 2020, 29, 166–173. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Mettler, S.; Mitchell, N.; Tipton, K.D. Increased protein intake reduces lean body mass loss during weight loss in athletes. Med. Sci. Sports Exerc. 2010, 42, 326–337. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hector, A.J.; Phillips, S.M. Protein Recommendations for Weight Loss in Elite Athletes: A Focus on Body Composition and Performance. Int. J. Sport. Nutr. Exerc. Metab. 2018, 28, 170–177. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Real, H.; Queiroz, J.; Graca, P. Mediterranean food pattern vs. Mediterranean diet: A necessary approach? Int. J. Food Sci. Nutr. 2020, 71, 1–12. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Akbari, M.; Vali, M.; Rezaei, S.; Bazmi, S.; Tabrizi, R.; Lankarani, K.B. Comparison of weight loss effects among overweight/obese adults: A network meta-analysis of mediterranean, low carbohydrate, and low-fat diets. Clin. Nutr. ESPEN 2024, 64, 7–15. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Karam, G.; Agarwal, A.; Sadeghirad, B.; Jalink, M.; Hitchcock, C.L.; Ge, L.; Kiflen, R.; Ahmed, W.; Zea, A.M.; Milenkovic, J.; et al. Comparison of seven popular structured dietary programmes and risk of mortality and major cardiovascular events in patients at increased cardiovascular risk: Systematic review and network meta-analysis. BMJ 2023, 380, e072003. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yuan, Y.; Chen, C.; Liu, Q.; Luo, Y.; Yang, Z.; Lin, Y.; Sun, L.; Fan, G. A network meta-analysis of the comparative efficacy of different dietary approaches on glycaemic control and weight loss in patients with type 2 diabetes mellitus and overweight or obesity. Food Funct. 2024, 15, 11961–11974. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Arita, V.A.; Cabezas, M.C.; Hernández Vargas, J.A.; Trujillo-Cáceres, S.J.; Mendez Pernicone, N.; Bridge, L.A.; Raeisi-Dehkordi, H.; Dietvorst, C.A.W.; Dekker, R.; Uriza-Pinzón, J.P.; et al. Effects of Mediterranean diet, exercise, and their combination on body composition and liver outcomes in metabolic dysfunction-associated steatotic liver disease: A systematic review and meta-analysis of randomized controlled trials. BMC Med. 2025, 23, 502. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Varady, K.A.; Cienfuegos, S.; Ezpeleta, M.; Gabel, K. Clinical application of intermittent fasting for weight loss: Progress and future directions. Nat. Rev. Endocrinol. 2022, 18, 309–321. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Nowosad, K.; Sujka, M. Effect of Various Types of Intermittent Fasting (IF) on Weight Loss and Improvement of Diabetic Parameters in Human. Curr. Nutr. Rep. 2021, 10, 146–154. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Carvajal, V.; Marin, A.; Gihardo, D.; Maluenda, F.; Carrasco, F.; Chamorro, R. Intermittent fasting and human metabolic health. Rev. Medica Chile 2023, 151, 81–100. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Malinowski, B.; Zalewska, K.; Wesierska, A.; Sokolowska, M.M.; Socha, M.; Liczner, G.; Pawlak-Osinska, K.; Wicinski, M. Intermittent Fasting in Cardiovascular Disorders—An Overview. Nutrients 2019, 11, 673. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Patikorn, C.; Roubal, K.; Veettil, S.K.; Chandran, V.; Pham, T.; Lee, Y.Y.; Giovannucci, E.L.; Varady, K.A.; Chaiyakunapruk, N. Intermittent Fasting and Obesity-Related Health Outcomes: An Umbrella Review of Meta-analyses of Randomized Clinical Trials. JAMA Netw. Open 2021, 4, e2139558. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Cherif, A.; Roelands, B.; Meeusen, R.; Chamari, K. Effects of Intermittent Fasting, Caloric Restriction, and Ramadan Intermittent Fasting on Cognitive Performance at Rest and During Exercise in Adults. Sports Med. 2016, 46, 35–47. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zheng, Y.; Wang, J.; Liu, M.; Zhou, X.; Lin, X.; Liang, Q.; Yang, J.; Zhang, M.; Chen, Z.; Li, M.; et al. Time-restricted eating with or without a low-carbohydrate diet improved myocardial status and thyroid function in individuals with metabolic syndrome: Secondary analysis of a randomized clinical trial. BMC Med. 2024, 22, 362. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Gabel, K.; Cienfuegos, S.; Kalam, F.; Ezpeleta, M.; Varady, K.A. Time-Restricted Eating to Improve Cardiovascular Health. Curr. Atheroscler. Rep. 2021, 23, 22. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Fanti, M.; Mishra, A.; Longo, V.D.; Brandhorst, S. Time-Restricted Eating, Intermittent Fasting, and Fasting-Mimicking Diets in Weight Loss. Curr. Obes. Rep. 2021, 10, 70–80. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Baekdal, T.A.; Breitschaft, A.; Donsmark, M.; Maarbjerg, S.J.; Sondergaard, F.L.; Borregaard, J. Effect of Various Dosing Conditions on the Pharmacokinetics of Oral Semaglutide, a Human Glucagon-Like Peptide-1 Analogue in a Tablet Formulation. Diabetes Ther. 2021, 12, 1915–1927. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Farooq, A.; Chamari, K.; Sayegh, S.; El Akoum, M.; Al-Mohannadi, A.S. Ramadan daily intermittent fasting reduces objectively assessed habitual physical activity among adults. BMC Public Health 2021, 21, 1912. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Nam, Y.; Lee, J.M.; Wang, Y.; Ha, H.S.; Sohn, U.D. The effect of Flos Lonicerae Japonicae extract on gastro-intestinal motility function. J. Ethnopharmacol. 2016, 179, 280–290. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sardeli, A.V.; Komatsu, T.R.; Mori, M.A.; Gaspari, A.F.; Chacon-Mikahil, M.P.T. Resistance Training Prevents Muscle Loss Induced by Caloric Restriction in Obese Elderly Individuals: A Systematic Review and Meta-Analysis. Nutrients 2018, 10, 423. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Donnelly, J.E.; Blair, S.N.; Jakicic, J.M.; Manore, M.M.; Rankin, J.W.; Smith, B.K.; American College of Sports, M. American College of Sports Medicine Position Stand. Appropriate physical activity intervention strategies for weight loss and prevention of weight regain for adults. Med. Sci. Sports Exerc. 2009, 41, 459–471. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Clark, J.E. Diet, exercise or diet with exercise: Comparing the effectiveness of treatment options for weight-loss and changes in fitness for adults (18–65 years old) who are overfat, or obese; systematic review and meta-analysis. J. Diabetes Metab. Disord. 2015, 14, 31. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- D’Amuri, A.; Sanz, J.M.; Capatti, E.; Di Vece, F.; Vaccari, F.; Lazzer, S.; Zuliani, G.; Dalla Nora, E.; Passaro, A. Effectiveness of high-intensity interval training for weight loss in adults with obesity: A randomised controlled non-inferiority trial. BMJ Open Sport Exerc. Med. 2021, 7, e001021. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bellicha, A.; van Baak, M.A.; Battista, F.; Beaulieu, K.; Blundell, J.E.; Busetto, L.; Carraca, E.V.; Dicker, D.; Encantado, J.; Ermolao, A.; et al. Effect of exercise training on weight loss, body composition changes, and weight maintenance in adults with overweight or obesity: An overview of 12 systematic reviews and 149 studies. Obes. Rev. 2021, 22, e13256. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Cowan, S.; Lim, S.; Alycia, C.; Pirotta, S.; Thomson, R.; Gibson-Helm, M.; Blackmore, R.; Naderpoor, N.; Bennett, C.; Ee, C.; et al. Lifestyle management in polycystic ovary syndrome—Beyond diet and physical activity. BMC Endocr. Disord. 2023, 23, 14. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Willoughby, D.; Hewlings, S.; Kalman, D. Body Composition Changes in Weight Loss: Strategies and Supplementation for Maintaining Lean Body Mass, a Brief Review. Nutrients 2018, 10, 1876. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- McGaugh, E.; Barthel, B. A Review of Ketogenic Diet and Lifestyle. Mo Med. 2022, 119, 84–88. [Google Scholar] [PubMed]
- Daley, S.F.; Masood, W.; Annamaraju, P.; Khan Suheb, M.Z. The Ketogenic Diet: Clinical Applications, Evidence-Based Indications, and Implementation. In StatPearls; StatPearls Publishing LLC.: Treasure Island, FL, USA, 2026. [Google Scholar]
- Dynka, D.; Kowalcze, K.; Charuta, A.; Paziewska, A. The Ketogenic Diet and Cardiovascular Diseases. Nutrients 2023, 15, 3368. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhou, C.; Wang, M.; Liang, J.; He, G.; Chen, N. Ketogenic Diet Benefits to Weight Loss, Glycemic Control, and Lipid Profiles in Overweight Patients with Type 2 Diabetes Mellitus: A Meta-Analysis of Randomized Controlled Trails. Int. J. Environ. Res. Public Health 2022, 19, 10429. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lowe, M.R.; Butryn, M.L.; Zhang, F. Evaluation of meal replacements and a home food environment intervention for long-term weight loss: A randomized controlled trial1. Am. J. Clin. Nutr. 2018, 107, 12–19. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hoie, L.H.; Bruusgaard, D.; Thom, E. Reduction of body mass and change in body composition on a very low calorie diet. Int. J. Obes. Relat. Metab. Disord. 1993, 17, 17–20. [Google Scholar] [PubMed]
- Li, H.; Du, T.; Miao, C.; Deng, Y.; Tian, H.; Fang, W. Association between dietary fiber intake and gallstones among American adults: A cross-sectional study. J. Health Popul. Nutr. 2025, 44, 322. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Paisey, R.; Daniels, C.; Howitt, W.; Greatorex, D.; Campbell, C.; Paisey, C.; Paisey, R.; Frost, J.; Bromige, R. Body weight, diabetes incidence vascular events and survival 15 years after very low calorie diet in community medical clinics in the UK. BMJ Nutr. Prev. Health 2022, 5, 55. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ožvald, I.; Božičević, D.; Duh, L.; Vinković Vrček, I.; Pavičić, I.; Domijan, A.-M.; Milić, M. Effects of a 3-Week Hospital-Controlled Very-Low-Calorie Diet in Severely Obese Patients. Nutrients 2021, 13, 4468. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Gow, M.L.; Jebeile, H.; House, E.T.; Alexander, S.; Baur, L.A.; Brown, J.; Collins, C.E.; Cowell, C.T.; Day, K.; Garnett, S.P.; et al. Efficacy, Safety and Acceptability of a Very-Low-Energy Diet in Adolescents with Obesity: A Fast Track to Health Sub-Study. Nutrients 2024, 16, 3125. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Dong, T.S.; Luu, K.; Lagishetty, V.; Sedighian, F.; Woo, S.L.; Dreskin, B.W.; Katzka, W.; Chang, C.; Zhou, Y.; Arias-Jayo, N.; et al. A High Protein Calorie Restriction Diet Alters the Gut Microbiome in Obesity. Nutrients 2020, 12, 3221. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kim, J.Y. Optimal Diet Strategies for Weight Loss and Weight Loss Maintenance. J. Obes. Metab. Syndr. 2021, 30, 20–31. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lacatusu, C.M.; Grigorescu, E.D.; Floria, M.; Onofriescu, A.; Mihai, B.M. The Mediterranean Diet: From an Environment-Driven Food Culture to an Emerging Medical Prescription. Int. J. Environ. Res. Public Health 2019, 16, 942. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- The Nutrition Source. 2023. Available online: https://nutritionsource.hsph.harvard.edu/ (accessed on 16 October 2025).
- Bach-Faig, A.; Berry, E.M.; Lairon, D.; Reguant, J.; Trichopoulou, A.; Dernini, S.; Medina, F.X.; Battino, M.; Belahsen, R.; Miranda, G.; et al. Mediterranean diet pyramid today. Science and cultural updates. Public Health Nutr. 2011, 14, 2274–2284. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Khalil, M.; Abdallah, H.; Garruti, G.; Ciaula, A.D.; Portincasa, P. External factors affecting weight loss during intermittent fasting. Author’s reply. Eur. J. Intern. Med. 2025, 131, 141–142. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Cui, Y.; Cai, T.; Zhou, Z.; Mu, Y.; Lu, Y.; Gao, Z.; Wu, J.; Zhang, Y. Health Effects of Alternate-Day Fasting in Adults: A Systematic Review and Meta-Analysis. Front. Nutr. 2020, 7, 586036. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Khalil, M.; Abdallah, H.; Jaber, N.; Garruti, G.; Di Ciaula, A.; Portincasa, P. Distinct biophysiological effects of Ramadan fasting and traditional intermittent fasting on markers of body fat storage. A real-life study. Eur. J. Intern. Med. 2024, 129, 111–120. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sukkriang, N.; Buranapin, S. Effect of intermittent fasting 16:8 and 14:10 compared with control-group on weight reduction and metabolic outcomes in obesity with type 2 diabetes patients: A randomized controlled trial. J. Diabetes Investig. 2024, 15, 1297–1305. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Jeong, S.; Chokkalla, A.K.; Davis, C.K.; Jeong, H.; Chelluboina, B.; Arruri, V.; Kim, B.; Narman, A.; Bathula, S.; Arumugam, T.V.; et al. Circadian-Dependent Intermittent Fasting Influences Ischemic Tolerance and Dendritic Spine Remodeling. Stroke 2024, 55, 2139–2150. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Abdallah, H.; Khalil, M.; Farella, I.; JohnBritto, J.S.; Lanza, E.; Santoro, S.; Garruti, G.; Portincasa, P.; Di Ciaula, A.; Bonfrate, L. Ramadan intermittent fasting reduces visceral fat and improves gastrointestinal motility. Eur. J. Clin. Investig. 2023, 53, e14029. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rashed, A.H. The fast of Ramadan. BMJ 1992, 304, 521–522. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bazzano, A.N.; Potts, K.S.; Mulugeta, A. How do pregnant and lactating women, and young children, experience religious food restriction at the community level? A qualitative study of fasting traditions and feeding behaviors in four regions of Ethiopia. PLoS ONE 2018, 13, e0208408. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Di Ciaula, A.; Khalil, M.; Baffy, G.; Portincasa, P. Advances in the pathophysiology, diagnosis and management of chronic diarrhoea from bile acid malabsorption: A systematic review. Eur. J. Intern. Med. 2024, 128, 10–19. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Gaeini, Z.; Mirmiran, P.; Bahadoran, Z. Effects of Ramadan intermittent fasting on leptin and adiponectin: A systematic review and meta-analysis. Hormones 2021, 20, 237–246. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rebollo-Hernanz, M.; Zhang, Q.; Aguilera, Y.; Martín-Cabrejas, M.A.; Gonzalez de Mejia, E. Phenolic compounds from coffee by-products modulate adipogenesis-related inflammation, mitochondrial dysfunction, and insulin resistance in adipocytes, via insulin/PI3K/AKT signaling pathways. Food Chem. Toxicol. 2019, 132, 110672. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ardid-Ruiz, A.; Ibars, M.; Mena, P.; Del Rio, D.; Muguerza, B.; Bladé, C.; Arola, L.; Aragonès, G.; Suárez, M. Potential Involvement of Peripheral Leptin/STAT3 Signaling in the Effects of Resveratrol and Its Metabolites on Reducing Body Fat Accumulation. Nutrients 2018, 10, 1757. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Choi, B.K.; Park, S.B.; Lee, D.R.; Lee, H.J.; Jin, Y.Y.; Yang, S.H.; Suh, J.W. Green coffee bean extract improves obesity by decreasing body fat in high-fat diet-induced obese mice. Asian Pac. J. Trop. Med. 2016, 9, 635–643. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Li, T.; Zhang, L.; Jin, C.; Xiong, Y.; Cheng, Y.Y.; Chen, K. Pomegranate flower extract bidirectionally regulates the proliferation, differentiation and apoptosis of 3T3-L1 cells through regulation of PPARgamma expression mediated by PI3K-AKT signaling pathway. Biomed. Pharmacother. 2020, 131, 110769. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kim, G.N.; Shin, M.R.; Shin, S.H.; Lee, A.R.; Lee, J.Y.; Seo, B.I.; Kim, M.Y.; Kim, T.H.; Noh, J.S.; Rhee, M.H.; et al. Study of Antiobesity Effect through Inhibition of Pancreatic Lipase Activity of Diospyros kaki Fruit and Citrus unshiu Peel. BioMed Res. Int. 2016, 2016, 1723042. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Anyanwu, G.O.; Ejike, U.D.; Gyebi, G.A.; Rauf, K.; Nisar Ur, R.; Iqbal, J.; Zaib, S.; Usunobun, U.; Onyeneke, E.C.; Alotaibi, B.S.; et al. Phytochemical analysis, in vitro and in silico effects from Alstonia boonei De Wild stem bark on selected digestive enzymes and adipogenesis in 3T3-L1 preadipocytes. BMC Complement. Med. Ther. 2023, 23, 370. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Baek, S.C.; Nam, K.H.; Yi, S.A.; Jo, M.S.; Lee, K.H.; Lee, Y.H.; Lee, J.; Kim, K.H. Anti-adipogenic Effect of beta-Carboline Alkaloids from Garlic (Allium sativum). Foods 2019, 8, 673. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Luo, J.; Luo, J.; Wu, Y.; Fu, Y.; Fang, Z.; Han, B.; Du, B.; Yang, Z.; Xu, B. Anti-Obesity Effects of Adzuki Bean Saponins in Improving Lipid Metabolism Through Reducing Oxidative Stress and Alleviating Mitochondrial Abnormality by Activating the PI3K/Akt/GSK3β/β-Catenin Signaling Pathway. Antioxidants 2024, 13, 1380. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Liu, L.; Wang, N.; Ma, Y.; Liu, Y.; Wen, D. Saponins from Boussingaultia gracilis prevent obesity and related metabolic impairments in diet-induced obese mice. Food Funct. 2018, 9, 5660–5673. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ayala-Ruiz, L.A.; Ortega-Pérez, L.G.; Piñón-Simental, J.S.; Magaña-Rodriguez, O.R.; Meléndez-Herrera, E.; Rios-Chavez, P. Role of the major terpenes of Callistemon citrinus against the oxidative stress during a hypercaloric diet in rats. Biomed. Pharmacother. 2022, 153, 113505. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Pachura, N.; Kupczyński, R.; Lewandowska, K.; Włodarczyk, M.; Klemens, M.; Kuropka, P.; Nowaczyk, R.; Krzystek-Korpacka, M.; Bednarz-Misa, I.; Sozański, T.; et al. Biochemical and Molecular Investigation of the Effect of Saponins and Terpenoids Derived from Leaves of Ilex aquifolium on Lipid Metabolism of Obese Zucker Rats. Molecules 2022, 27, 3376. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhang, Y.; Balasooriya, H.; Sirisena, S.; Ng, K. The effectiveness of dietary polyphenols in obesity management: A systematic review and meta-analysis of human clinical trials. Food Chem. 2023, 404, 134668. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Khalil, M.; Shanmugam, H.; Abdallah, H.; John Britto, J.S.; Galerati, I.; Gomez-Ambrosi, J.; Fruhbeck, G.; Portincasa, P. The Potential of the Mediterranean Diet to Improve Mitochondrial Function in Experimental Models of Obesity and Metabolic Syndrome. Nutrients 2022, 14, 3112. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rius Acebes, L.; Sánchez-Pacheco-Tardon, M.; Orozco Beltrán, D. When should a patient with obesity be referred to endocrinology? Current indications for bariatric surgery. Aten. Primaria 2024, 56, 102961. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Verma, N.; Mittal, M.; Ali Mahdi, A.; Awasthi, V.; Kumar, P.; Goel, A.; Banik, S.P.; Chakraborty, S.; Rungta, M.; Bagchi, M.; et al. Clinical Evaluation of a Novel, Patented Green Coffee Bean Extract (GCB70(R)), Enriched in 70% Chlorogenic Acid, in Overweight Individuals. J. Am. Nutr. Assoc. 2024, 43, 315–325. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Li, X.; Yamada, H.; Morita, S.; Yamashita, Y.; Kim, Y.; Kometani, T.; Narang, N.; Furuta, T.; Kim, M. Effects of Free Linoleic Acid and Oleic Acid in Sesame Meal Extract as Pancreatic Lipase Inhibitors on Postprandial Triglyceridemia: A Randomized, Double-Blind, Placebo-Controlled, Crossover Study in Healthy Volunteers. Nutrients 2023, 15, 1748. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kim, H.N.; Lee, Y.A.; Song, S.W. Sunflower seed extract supplementation reduces body fat in adults with obesity: A double-blind, randomized, placebo-controlled trial. Nutr. Res. 2024, 122, 113–122. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yaikwawong, M.; Jansarikit, L.; Jirawatnotai, S.; Chuengsamarn, S. Curcumin extract improves beta cell functions in obese patients with type 2 diabetes: A randomized controlled trial. Nutr. J. 2024, 23, 119. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hooshmandi, H.; Ghadiri-Anari, A.; Ranjbar, A.M.; Fallahzadeh, H.; Hosseinzadeh, M.; Nadjarzadeh, A. Effects of licorice extract in combination with a low-calorie diet on obesity indices, glycemic indices, and lipid profiles in overweight/obese women with polycystic ovary syndrome (PCOS): A randomized, double-blind, placebo-controlled trial. J. Ovarian Res. 2024, 17, 157. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Agrinier, A.L.; Morissette, A.; Daoust, L.; Gignac, T.; Marois, J.; Varin, T.V.; Pilon, G.; Larose, E.; Gagnon, C.; Desjardins, Y.; et al. Camu-camu decreases hepatic steatosis and liver injury markers in overweight, hypertriglyceridemic individuals: A randomized crossover trial. Cell Rep. Med. 2024, 5, 101682. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Jäger, R.; Abou Sawan, S.; Purpura, M.; Grube, B.; Röske, Y.; De Costa, P.; Chong, P.W. Proprietary alpha-amylase inhibitor formulation from white kidney bean (Phaseolus vulgaris L.) promotes weight and fat loss: A 12-week, double-blind, placebo-controlled, randomized trial. Sci. Rep. 2024, 14, 12685. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Pokushalov, E.; Ponomarenko, A.; Garcia, C.; Pak, I.; Shrainer, E.; Seryakova, M.; Johnson, M.; Miller, R. The Impact of Glucomannan, Inulin, and Psyllium Supplementation (SolowaysTM) on Weight Loss in Adults with FTO, LEP, LEPR, and MC4R Polymorphisms: A Randomized, Double-Blind, Placebo-Controlled Trial. Nutrients 2024, 16, 557. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Laouani, A.; Nasrallah, H.; Sassi, A.; Ferdousi, F.; Kalai, F.Z.; Hasni, Y.; Isoda, H.; Saguem, S. Antiobesity and Hypolipidemic Potential of Nitraria retusa Extract in Overweight/Obese Women: A Randomized, Double-Blind, Placebo-Controlled Pilot Study. Nutrients 2024, 16, 317. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bandala, C.; Carro-Rodríguez, J.; Cárdenas-Rodríguez, N.; Peña-Montero, I.; Gómez-López, M.; Hernández-Roldán, A.P.; Huerta-Cruz, J.C.; Muñoz-González, F.; Ignacio-Mejía, I.; Domínguez, B.; et al. Comparative Effects of Gymnema sylvestre and Berberine on Adipokines, Body Composition, and Metabolic Parameters in Obese Patients: A Randomized Study. Nutrients 2024, 16, 2284. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Koperska, A.; Moszak, M.; Seraszek-Jaros, A.; Bogdanski, P.; Szulinska, M. Does berberine impact anthropometric, hepatic, and metabolic parameters in patients with metabolic dysfunction-associated fatty liver disease? Randomized, double-blind placebo-controlled trial. J. Physiol. Pharmacol. 2024, 75, 291–302. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Saeidi, A.; Motamedi, P.; Hoteit, M.; Sadek, Z.; Ramadan, W.; Dara, M.M.; Almaqhawi, A.; Shahrbanian, S.; Abednatanzi, H.; Escobar, K.A.; et al. Impact of spinach thylakoid extract-induced 12-week high-intensity functional training on specific adipokines in obese males. J. Int. Soc. Sports Nutr. 2024, 21, 2398467. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Chaisungnern, K.; Rattananupong, T.; Klinhom, R.; Nanta, S.; Banchuen, K.; Itharat, A.; Kuropakornpong, P.; Supasiri, T.; Nootim, P.; Jiamjarasrangsi, W. Efficacy of Hibiscus sabdariffa L. extract on metabolic parameters in participants with abdominal obesity and mild metabolic syndrome in Bangkok, Thailand: A double-blind, randomized, placebo-controlled trial. Complement. Ther. Med. 2025, 91, 103185. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Takanari, J.; Misu, M.; Goto, K.; Shio, T.; Fukuchi, Y.; Fujii, H.; Nishihira, J. Effects of Oligonol((R)) Supplementation on Abdominal Fat in Japanese Overweight Volunteers: A Randomized, Double-Blind, Placebo-Controlled, Parallel Group Study. J. Nutr. Sci. Vitaminol. 2025, 71, 357–365. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Martinez, V.; McAngus, K.; Dickerson, B.L.; Leonard, M.; Chavez, E.; Chun, J.; Lewis, M.; Xing, D.; Gonzalez, D.E.; Yoo, C.; et al. Effects of 12 Weeks of Chromium, Phyllanthus emblica Fruit Extract, and Shilajit Supplementation on Markers of Cardiometabolic Health, Fitness, and Weight Loss in Men and Women with Risk Factors to Metabolic Syndrome Initiating an Exercise and Diet Intervention: A Randomized Double-Blind, Placebo-Controlled Trial. Nutrients 2025, 17, 2042. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Majeed, A.; Majeed, S.; Devarajan, T.V.; Narasinga Rao, S.; Gudimallam, S.; Ramanujappa, M.; Thazhathidath, S.; Mundkur, L. Efficacy and safety of Cyperus rotundus extract on weight management in obese individuals: A randomized, double-blind, placebo-controlled study. Medicine 2025, 104, e45666. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wujie, Y.E.; Yawei, Y.; Da, Z.; Ling, T.; Minying, C.; Bin, F.U.; Meng, Z.; Xingang, H.U.; Yan, Z. Effectiveness of combining Qingyanyin formulated granules with press needles in treating abdominal obesity: A multicenter randomized controlled trial. J. Tradit. Chin. Med. 2025, 45, 107–114. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Jastreboff, A.M.; Aronne, L.J.; Ahmad, N.N.; Wharton, S.; Connery, L.; Alves, B.; Kiyosue, A.; Zhang, S.; Liu, B.; Bunck, M.C.; et al. Tirzepatide Once Weekly for the Treatment of Obesity. N. Engl. J. Med. 2022, 387, 205–216. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Aronne, L.J.; Sattar, N.; Horn, D.B.; Bays, H.E.; Wharton, S.; Lin, W.Y.; Ahmad, N.N.; Zhang, S.; Liao, R.; Bunck, M.C.; et al. Continued Treatment with Tirzepatide for Maintenance of Weight Reduction in Adults with Obesity: The SURMOUNT-4 Randomized Clinical Trial. JAMA 2024, 331, 38–48. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rosenstock, J.; Wysham, C.; Frias, J.P.; Kaneko, S.; Lee, C.J.; Fernandez Lando, L.; Mao, H.; Cui, X.; Karanikas, C.A.; Thieu, V.T. Efficacy and safety of a novel dual GIP and GLP-1 receptor agonist tirzepatide in patients with type 2 diabetes (SURPASS-1): A double-blind, randomised, phase 3 trial. Lancet 2021, 398, 143–155. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ara, R.; Blake, L.; Gray, L.; Hernandez, M.; Crowther, M.; Dunkley, A.; Warren, F.; Jackson, R.; Rees, A.; Stevenson, M.; et al. What is the clinical effectiveness and cost-effectiveness of using drugs in treating obese patients in primary care? A systematic review. Health Technol. Assess. 2012, 16, iii–xiv, 1–195. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Perkovic, V.; Tuttle, K.R.; Rossing, P.; Mahaffey, K.W.; Mann, J.F.E.; Bakris, G.; Baeres, F.M.M.; Idorn, T.; Bosch-Traberg, H.; Lausvig, N.L.; et al. Effects of Semaglutide on Chronic Kidney Disease in Patients with Type 2 Diabetes. N. Engl. J. Med. 2024, 391, 109–121. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Verma, S.; David, J.P.; Leiter, L.A.; Michelsen, M.M.; Rasmussen, S.; Bhatt, D.L. Semaglutide reduces the risk of major adverse cardiovascular events consistently across baseline triglyceride levels in patients with type 2 diabetes: Post hoc analyses of the SUSTAIN 6 and PIONEER 6 trials. Diabetes Obes. Metab. 2023, 25, 2388–2392. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Allison, D.B.; Gadde, K.M.; Garvey, W.T.; Peterson, C.A.; Schwiers, M.L.; Najarian, T.; Tam, P.Y.; Troupin, B.; Day, W.W. Controlled-release phentermine/topiramate in severely obese adults: A randomized controlled trial (EQUIP). Obesity 2012, 20, 330–342. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Grunvald, E.; Shah, R.; Hernaez, R.; Chandar, A.K.; Pickett-Blakely, O.; Teigen, L.M.; Harindhanavudhi, T.; Sultan, S.; Singh, S.; Davitkov, P.; et al. AGA Clinical Practice Guideline on Pharmacological Interventions for Adults with Obesity. Gastroenterology 2022, 163, 1198–1225. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bray, G.A.; Fruhbeck, G.; Ryan, D.H.; Wilding, J.P. Management of obesity. Lancet 2016, 387, 1947–1956. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Yancy, W.S., Jr.; Westman, E.C.; McDuffie, J.R.; Grambow, S.C.; Jeffreys, A.S.; Bolton, J.; Chalecki, A.; Oddone, E.Z. A randomized trial of a low-carbohydrate diet vs orlistat plus a low-fat diet for weight loss. Arch. Intern. Med. 2010, 170, 136–145. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wolfe, B.M.; Kvach, E.; Eckel, R.H. Treatment of Obesity: Weight Loss and Bariatric Surgery. Circ. Res. 2016, 118, 1844–1855. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Howard, R.; Chao, G.F.; Yang, J.; Thumma, J.; Chhabra, K.; Arterburn, D.E.; Ryan, A.; Telem, D.A.; Dimick, J.B. Comparative Safety of Sleeve Gastrectomy and Gastric Bypass Up to 5 Years After Surgery in Patients with Severe Obesity. JAMA Surg. 2021, 156, 1160–1169. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Gu, L.; Huang, X.; Li, S.; Mao, D.; Shen, Z.; Khadaroo, P.A.; Ng, D.M.; Chen, P. A meta-analysis of the medium- and long-term effects of laparoscopic sleeve gastrectomy and laparoscopic Roux-en-Y gastric bypass. BMC Surg. 2020, 20, 30. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Eghbali, F.; Bahardoust, M.; Pazouki, A.; Barahman, G.; Tizmaghz, A.; Hajmohammadi, A.; Karami, R.; Hosseini-Baharanchi, F.S. Predictors for weight loss after Roux-en-Y gastric bypass: The trend and associated factors for weight loss. BMC Surg. 2022, 22, 310. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- James, H.; Lorentz, P.; Collazo-Clavell, M.L. Patient-Reported Adherence to Empiric Vitamin/Mineral Supplementation and Related Nutrient Deficiencies After Roux-en-Y Gastric Bypass. Obes. Surg. 2016, 26, 2661–2666. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Giet, L.; Baker, J.; Favretti, F.; Segato, G.; Super, P.; Singhal, R.; Ashton, D. Medium and long-term results of gastric banding: Outcomes from a large private clinic in UK. BMC Obes. 2018, 5, 12. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Himpens, J.; Cadiere, G.B.; Bazi, M.; Vouche, M.; Cadiere, B.; Dapri, G. Long-term outcomes of laparoscopic adjustable gastric banding. Arch. Surg. 2011, 146, 802–807. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ramai, D.; Singh, J.; Mohan, B.P.; Madedor, O.; Brooks, O.W.; Barakat, M.; Ofosu, A.; Khan, S.R.; Chandan, S.; Dhindsa, B.; et al. Influence of the Elipse Intragastric Balloon on Obesity and Metabolic Profile: A Systematic Review and Meta-Analysis. J. Clin. Gastroenterol. 2021, 55, 836–841. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ienca, R.; Al Jarallah, M.; Caballero, A.; Giardiello, C.; Rosa, M.; Kolmer, S.; Sebbag, H.; Hansoulle, J.; Quartararo, G.; Zouaghi, S.A.S.; et al. The Procedureless Elipse Gastric Balloon Program: Multicenter Experience in 1770 Consecutive Patients. Obes. Surg. 2020, 30, 3354–3362. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Vantanasiri, K.; Matar, R.; Beran, A.; Jaruvongvanich, V. The Efficacy and Safety of a Procedureless Gastric Balloon for Weight Loss: A Systematic Review and Meta-Analysis. Obes. Surg. 2020, 30, 3341–3346. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sumithran, P.; Finucane, F.M.; Cohen, R.V. Obesity drug shortages are symptomatic of wider malaise. Lancet 2024, 403, 1613–1615. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Di Ciaula, A.; Portincasa, P. Contrasting obesity: Is something missing here? Intern. Emerg. Med. 2024, 19, 265–269. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Shi, Q.; Wang, Y.; Hao, Q.; Vandvik, P.O.; Guyatt, G.; Li, J.; Chen, Z.; Xu, S.; Shen, Y.; Ge, L.; et al. Pharmacotherapy for adults with overweight and obesity: A systematic review and network meta-analysis of randomised controlled trials. Lancet 2024, 403, e21–e31. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Drucker, D.J. GLP-1 physiology informs the pharmacotherapy of obesity. Mol. Metab. 2022, 57, 101351. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Flint, A.; Raben, A.; Astrup, A.; Holst, J.J. Glucagon-like peptide 1 promotes satiety and suppresses energy intake in humans. J. Clin. Investig. 1998, 101, 515–520. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zander, M.; Madsbad, S.; Madsen, J.L.; Holst, J.J. Effect of 6-week course of glucagon-like peptide 1 on glycaemic control, insulin sensitivity, and beta-cell function in type 2 diabetes: A parallel-group study. Lancet 2002, 359, 824–830. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Deanfield, J.; Verma, S.; Scirica, B.M.; Kahn, S.E.; Emerson, S.S.; Ryan, D.; Lingvay, I.; Colhoun, H.M.; Plutzky, J.; Kosiborod, M.N.; et al. Semaglutide and cardiovascular outcomes in patients with obesity and prevalent heart failure: A prespecified analysis of the SELECT trial. Lancet 2024, 404, 773–786. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lincoff, A.M.; Brown-Frandsen, K.; Colhoun, H.M.; Deanfield, J.; Emerson, S.S.; Esbjerg, S.; Hardt-Lindberg, S.; Hovingh, G.K.; Kahn, S.E.; Kushner, R.F.; et al. Semaglutide and Cardiovascular Outcomes in Obesity without Diabetes. N. Engl. J. Med. 2023, 389, 2221–2232. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sanyal, A.J.; Kaplan, L.M.; Frias, J.P.; Brouwers, B.; Wu, Q.; Thomas, M.K.; Harris, C.; Schloot, N.C.; Du, Y.; Mather, K.J.; et al. Triple hormone receptor agonist retatrutide for metabolic dysfunction-associated steatotic liver disease: A randomized phase 2a trial. Nat. Med. 2024, 30, 2037–2048. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wilding, J.P.H.; Batterham, R.L.; Davies, M.; Van Gaal, L.F.; Kandler, K.; Konakli, K.; Lingvay, I.; McGowan, B.M.; Oral, T.K.; Rosenstock, J.; et al. Weight regain and cardiometabolic effects after withdrawal of semaglutide: The STEP 1 trial extension. Diabetes Obes. Metab. 2022, 24, 1553–1564. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Celletti, F.; Farrar, J.; De Regil, L. World Health Organization Guideline on the Use and Indications of Glucagon-Like Peptide-1 Therapies for the Treatment of Obesity in Adults. JAMA 2026, 335, 434–438. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Fogacci, F.; Cicero, A.F.G. Cagrilintide-Semaglutide in Adults with Overweight or Obesity. N. Engl. J. Med. 2025, 393, 2065–2066. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Garvey, W.T.; Bluher, M.; Osorto Contreras, C.K.; Davies, M.J.; Winning Lehmann, E.; Pietilainen, K.H.; Rubino, D.; Sbraccia, P.; Wadden, T.; Zeuthen, N.; et al. Coadministered Cagrilintide and Semaglutide in Adults with Overweight or Obesity. N. Engl. J. Med. 2025, 393, 635–647. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hwang, J.H.; Laiteerapong, N.; Huang, E.S.; Kim, D.D. Lifetime Health Effects and Cost-Effectiveness of Tirzepatide and Semaglutide in US Adults. JAMA Health Forum 2025, 6, e245586. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Pearson, S.D.; Whaley, C.M.; Emond, S.K. Affordable access to GLP-1 obesity medications: Strategies to guide market action and policy solutions in the US. J. Comp. Eff. Res. 2025, 14, e250083. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- The Lancet Diabetes & Endocrinology; Diabetes, E. The era of GLP-1 receptor agonists: Costs versus benefits. Lancet Diabetes Endocrinol. 2025, 13, 1. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lu, X.; Huang, Y.; Ji, L.; Chen, D.; Lian, X.; Li, X.; Yang, X.; Niu, S.; Wang, L.; Yuan, M. Signal identification of adverse reactions related to phentermine/topiramate: A study based on FAERS reports. Obes. Res. Clin. Pract. 2025, 19, 536–543. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sherman, M.M.; Ungureanu, S.; Rey, J.A. Naltrexone/Bupropion ER (Contrave): Newly Approved Treatment Option for Chronic Weight Management in Obese Adults. Pharm. Ther. 2016, 41, 164–172. [Google Scholar]
- Jagtap, U.A.; Paul, A.T. Synthetic pancreatic lipase inhibitors in obesity treatment: Current updates on in silico design, synthesis, bioactivity, and SAR. RSC Med. Chem. 2025, 16, 5787–5842. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Fruhbeck, G. Bariatric and metabolic surgery: A shift in eligibility and success criteria. Nat. Rev. Endocrinol. 2015, 11, 465–477. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Salminen, P.; Helmio, M.; Ovaska, J.; Juuti, A.; Leivonen, M.; Peromaa-Haavisto, P.; Hurme, S.; Soinio, M.; Nuutila, P.; Victorzon, M. Effect of Laparoscopic Sleeve Gastrectomy vs Laparoscopic Roux-en-Y Gastric Bypass on Weight Loss at 5 Years Among Patients with Morbid Obesity: The SLEEVEPASS Randomized Clinical Trial. JAMA 2018, 319, 241–254. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Farella, I.; Chiarito, M.; Vitale, R.; D’Amato, G.; Faienza, M.F. The “Burden” of Childhood Obesity on Bone Health: A Look at Prevention and Treatment. Nutrients 2025, 17, 491. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Maffeis, C.; Olivieri, F.; Valerio, G.; Verduci, E.; Licenziati, M.R.; Calcaterra, V.; Pelizzo, G.; Salerno, M.; Staiano, A.; Bernasconi, S.; et al. The treatment of obesity in children and adolescents: Consensus position statement of the Italian society of pediatric endocrinology and diabetology, Italian Society of Pediatrics and Italian Society of Pediatric Surgery. Ital. J. Pediatr. 2023, 49, 69. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Czepiel, K.S.; Perez, N.P.; Campoverde Reyes, K.J.; Sabharwal, S.; Stanford, F.C. Pharmacotherapy for the Treatment of Overweight and Obesity in Children, Adolescents, and Young Adults in a Large Health System in the US. Front. Endocrinol. 2020, 11, 290. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Johnson, V.R.; Cao, M.; Czepiel, K.S.; Mushannen, T.; Nolen, L.; Stanford, F.C. Strategies in the Management of Adolescent Obesity. Curr. Pediatr. Rep. 2020, 8, 56–65. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Romariz, L.M.; de Melo, A.A.C.; Finnegan, E.; Mesquita, Y.; Janovsky, C. GLP-1 receptor agonists for the treatment of obesity in children and adolescents: A meta-analysis of randomized controlled trials. Pediatr. Res. 2026, 99, 502–510. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Improda, N.; Ballarin, G. Body Composition in Paediatric GLP-1 Receptor Agonist Therapy. Comment on Zaitoon et al. Beyond Weight Loss: Optimizing GLP-1 Receptor Agonist Use in Children. Children 2025, 12, 1427. Children 2026, 13, 607. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zaitoon, H.; Wauters, A.D.; Rodriguez, L.M.; Lynch, J.L. Beyond Weight Loss: Optimizing GLP-1 Receptor Agonist Use in Children. Children 2025, 12, 1427. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Metelska, P.; Kozioł-Kozakowska, A. Family-Based Dietary Counselling in Pediatric Obesity: A Proposed System-Oriented Framework Integrating Home, School, and Social Environments. Nutrients 2026, 18, 1949. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Inge, T.H.; Courcoulas, A.P.; Jenkins, T.M.; Michalsky, M.P.; Brandt, M.L.; Xanthakos, S.A.; Dixon, J.B.; Harmon, C.M.; Chen, M.K.; Xie, C.; et al. Five-Year Outcomes of Gastric Bypass in Adolescents as Compared with Adults. N. Engl. J. Med. 2019, 380, 2136–2145. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- O’Connor, E.A.; Evans, C.V.; Henninger, M.; Redmond, N.; Senger, C.A. Interventions for Weight Management in Children and Adolescents: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2024, 332, 233–248. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bensignor, M.O.; Arslanian, S.; Vajravelu, M.E. Semaglutide for management of obesity in adolescents: Efficacy, safety, and considerations for clinical practice. Curr. Opin. Pediatr. 2024, 36, 449–455. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Fox Claudia, K.; Barrientos-Pérez, M.; Bomberg Eric, M.; Dcruz, J.; Gies, I.; Harder-Lauridsen Nina, M.; Jalaludin Muhammad, Y.; Sahu, K.; Weimers, P.; Zueger, T.; et al. Liraglutide for Children 6 to <12 Years of Age with Obesity—A Randomized Trial. N. Engl. J. Med. 2025, 392, 555–565. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Armstrong, S.C.; Eneli, I.; Osganian, S.K.; Wagner, B.E.; Waldrop, S.W.; Kelly, A.S. Pediatric Obesity Pharmacotherapy: State of the Science, Research Gaps, and Opportunities. Pediatrics 2024, 154, e2024067858. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Gomez-Ambrosi, J.; Catalan, V.; Fruhbeck, G. The evolution of the understanding of obesity over the last 100 years. Int. J. Obes. 2025, 49, 168–176. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sweatt, K.; Garvey, W.T.; Martins, C. Strengths and Limitations of BMI in the Diagnosis of Obesity: What is the Path Forward? Curr. Obes. Rep. 2024, 13, 584–595. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Holmes, C.J.; Racette, S.B. The Utility of Body Composition Assessment in Nutrition and Clinical Practice: An Overview of Current Methodology. Nutrients 2021, 13, 2493. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Salmon-Gomez, L.; Catalan, V.; Fruhbeck, G.; Gomez-Ambrosi, J. Relevance of body composition in phenotyping the obesities. Rev. Endocr. Metab. Disord. 2023, 24, 809–823. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Silver, H.J.; Welch, E.B.; Avison, M.J.; Niswender, K.D. Imaging body composition in obesity and weight loss: Challenges and opportunities. Diabetes Metab. Syndr. Obes. 2010, 3, 337–347. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Capoccia, D.; Milani, I.; Colangeli, L.; Parrotta, M.E.; Leonetti, F.; Guglielmi, V. Social, cultural and ethnic determinants of obesity: From pathogenesis to treatment. Nutr. Metab. Cardiovasc. Dis. 2025, 35, 103901. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Alexaki, V.I. Adipose tissue-derived mediators of systemic inflammation and metabolic control. Curr. Opin. Endocr. Metab. Res. 2024, 37, 100560. [Google Scholar] [CrossRef] [Scilit]
- Hemmingsson, E. Early Childhood Obesity Risk Factors: Socioeconomic Adversity, Family Dysfunction, Offspring Distress, and Junk Food Self-Medication. Curr. Obes. Rep. 2018, 7, 204–209. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hall, K.D.; Kahan, S. Maintenance of Lost Weight and Long-Term Management of Obesity. Med. Clin. 2018, 102, 183–197. [Google Scholar] [CrossRef] [Scilit] [PubMed]






| Obesity Types | Main Characteristics | References |
|---|---|---|
| Metabolically healthy obese (MHO) | Obesity lacks metabolic diseases. Less visceral adipose tissue, smaller adipocytes, and lower chronic metabolic inflammatory profile. | [44,45,46,47,48] |
| Metabolically abnormal obese (MAO) | Subjects are overweight or obese with metabolic diseases. Significant difference between MAO and MHO in levels of postprandial blood glucose, high-density lipoprotein cholesterol, insulin, and triglycerides. | [49] |
| Sarcopenic obesity | Characterized by a reduction of lean mass. Associated with predicting factors: age, low physical activity, smoking, low socio-economic status, pulmonary disease, and atherosclerosis. Accumulation of body fat and a decrease in skeletal muscle mass and muscle strength. | [50,51] |
| Intervention | Description and Core Mechanisms | Distinct Advantages | Limitations | References |
|---|---|---|---|---|
| Physical activity | Body movement by skeletal muscles requires energy expenditure; recommended: 150 min moderate activity or 75 min vigorous activity for adults | Weight loss; preservation of lean mass during weight loss and subsequent maintenance of weight loss | Fatigue and burnout; heart risk with high-intensity activities; financial cost; and time commitment | [20,152] |
| Diets | ||||
| Ketogenic diet | Severe restriction of carbohydrates (≤50 g/day or <10% of total daily energy) 70–75% fat, 20% protein | Significant drop in visceral fat mass, rapid improvement in HbA1c, fasting insulin, and triglycerides | Headaches, fatigue, nausea, dizziness, kidney stress, and constipation | [153,154,155] |
| Very low-calorie diet | Total energy intake restricted to 400 to 800 kcal/day, achieved through complete formula meal replacements (soups, shakes, and bars) | Rapid initial weight loss, long-term weight maintenance, and loss of fat mass | Loss of lean mass and risk of tissue stress; contraindicated in youth (%95 experience acute adverse events as negative nitrogen balance) | [156,157,158] |
| High-protein diet | Protein intake > 0.8 g/kg/day (or 1.2–2.0 g/kg/day during active caloric deficits); 10–35% of total daily calories. | Maintains lean mass, enhances muscle protein synthesis, increases postprandial satiety, enhances gut microbial alpha diversity | Pressure on the kidneys; constipation; nausea; dehydration | [159,160,161] |
| Low-fat diet | Restriction of dietary lipids to <30% of total calories (moderate fat) or <10% (very low fat); saturated fat restricted to <7% | Lower cholesterol; lower risk of heart disease; maintenance of weight loss | Hormonal imbalance; risk of compensatory overconsumption of simple refined carbohydrates | [162] |
| Mediterranean diet | High density of vegetables, fruits, whole grains, and fish; extra virgin olive oil as the primary monounsaturated fat source | Low CVD; low mortality; low cholesterol; low risk of heart attacks and strokes; manages blood sugar levels; lower risk of type 2 diabetes; enhances the microbiota diversity | Slower initial weight loss and requires substantial baseline cooking literacy | [163,164,165,166] |
| Fasting | ||||
| Intermittent fasting | Alternation between eating times and fasting times | Improves insulin sensitivity, type 2 diabetes, and blood pressure Lower cholesterol levels; reduces inflammation and oxidative stress | Hunger and cravings; fatigue and low energy; constipation, bloating, and nausea | [167,168,169,170] |
| Alternate-day fasting | Alternating between days of no caloric intake and days of unrestricted eating; modified versions: small caloric intake (≤600 kcal) on fasting days | Reduces body weight, BMI, total cholesterol, LDL, triglycerides, and blood pressure | Hunger and cravings; Fatigue and low energy; constipation, bloating, and nausea | [171,172] |
| Time-restricted eating | Specific number of eating hours (from 4 to 12), with the remaining hours spent fasting | Fat loss, improved cardiovascular health markers | Constipation and bloating; fatigue and low energy | [173,174,175] |
| 16:8 fasting | Fasting for 16 h and eating during an 8 h window | Improves Metabolic Health; enhances insulin sensitivity; reduces blood pressure; reduces the risk of CVD. | Hunger and cravings; fatigue and low energy; digestive issues (constipation, bloating, nausea) | [176] |
| Ramadan fasting | Fasting from dawn until sunset | Reduces visceral and subcutaneous fat; improves GI motility; reduces GI symptoms and improves the gut microbiota | Sensation of fullness and discomfort after breaking the fast; may slow down the transit time and affect bowel movements | [177,178] |
| Compound | Source | Model | Effect | References |
|---|---|---|---|---|
| Polyphenols | Coffee silverskin and coffee husk | In vitro: Mouse 3T3-L1 preadipocytes and RAW264.7 Mφ cell lines | Stimulates the translocation of GLUT4, and modulates the insulin/PI3K/AKT, NF-κB/MAPK and AMPK pathways | [211] |
| Grape seeds | In vivo: Rats | Activates AMPK. | [212] | |
| Green coffee beans | In vivo: Rats | Reduces mRNA expression of adipogenesis genes C/EBPα, SREBPs, and PPARγ. Increases SIRT1 activity in liver and leptin receptors in muscle | [213] | |
| Pomegranate flower | In vitro: 3T3-L1 preadipocyte cells | Inhibits PI3K/AKT activity. Downregulates PPARγ and C/EBPα Inhibits adipogenic differentiation in human adipocytes | [214] | |
| Alkaloids | Diospyros kaki Fruit | In vivo: Mice | Reduces body weight Reduces fat accumulation Inhibits pancreatic lipase | [215] |
| Alstonia boonei | In vitro: 3T3-L1 preadipocyte cells | Inhibits pancreatic lipase Antiadipogenic effect | [216] | |
| Garlic | In vitro: 3T3–L1preadipocytes cells | Decrease lipid accumulation Inhibits adipocytes differentiation Reduces the expression of FABP4, PPARγ, C/EBPβ, and adipsin | [217] | |
| Saponins | Adzuki bean saponins | In vitro: 3T3-L1 preadipocyte cell line and HepG2 cell line | Improves fat metabolism Improves oxidative stress Restores mitochondrial pathway via β-catenin signaling, the PI3K/Akt/GSK3β/β-catenin signaling pathway | [218] |
| Leaves of Boussingaultia gracilis | In vivo: Mice | Reduces liver steatosis Modulates lipid metabolism Enhances adipocytes thermogenesis Restores insulin sensitivity | [219] | |
| Terpenes | Callistemon citrinus | In vivo: Rats | Decreases oxidative stress Reduces body weight Reduces fat deposition, triacylglycerol and serum glucose | [220] |
| European taxon, Ilex aquifolium | In vivo: Rats | Reduces lipid accumulation in the liver. Antioxidant and anti-inflammatory effects | [221] |
| Year | Study Type | No. of Subjects | Product/Intervention | Main Findings | Reference |
|---|---|---|---|---|---|
| 2023 | Placebo-controlled RCT | 105 | Green coffee bean extract (500 mg twice daily, 12 weeks) | ↓ body weight (~6%), BMI (~5.6%), waist circumference, leptin, fasting glucose, HbA1c, and TSH; good safety profile | [225] |
| 2023 | Double-blind, placebo-controlled crossover RCT | 30 | Sesame meal extract (linoleic & oleic acids) with a high-fat meal | ↓ postprandial triglycerides (−16.8% iAUC), ↓ remnant lipoproteins and LDL particles, ↑ HDL; supports pancreatic lipase inhibition | [226] |
| 2023 | Double-blind, placebo-controlled RCT | 100 | Sunflower seed extract (500 mg/day, 12 weeks) | ↓ body fat mass, body weight, BMI, and hip circumference | [227] |
| 2024 | Double-blind, placebo-controlled RCT | 272 | Curcumin extract (1500 mg/day, 12 months) | ↓ fasting glucose, HbA1c, BMI, HOMA-IR, leptin, ↑ β-cell function (↑ HOMA-β), ↑ adiponectin | [228] |
| 2024 | Double-blind, placebo-controlled RCT | 66 | Licorice extract (1.5 g/day) + low-calorie diet (8 weeks) | ↓ body weight, BMI, body fat, FBS, insulin, HOMA-IR | [229] |
| 2024 | Double-blind, placebo-controlled crossover RCT | 30 | Camu-camu polyphenol-rich extract (1.5 g/day, 12 weeks) | ↓ liver fat (−7.4%), ALT/AST | [230] |
| 2024 | Double-blind, placebo-controlled RCT | 81 | White kidney bean extract (Phase 2®, 700–1000 mg three times daily, 12 weeks) | ↓ body weight, fat mass, BMI, waist, hip, and thigh circumference | [231] |
| 2024 | Double-blind, placebo-controlled RCT | 112 | Fiber blend (glucomannan, inulin, psyllium; 180 days) | ↓ body weight, BMI, fat mass, visceral fat | [232] |
| 2024 | Double-blind, placebo-controlled pilot RCT | 68 | Nitraria retusa extract (12 weeks) | ↓ body weight, BMI, body fat, and TG | [233] |
| 2024 | Comparative RCT | 50 | Gymnema sylvestre vs. Berberine (3 months) | Berberine: greater weight, BP reduction, improved adipokine gene expression; Gymnema: better fasting glucose and insulin-resistance-related adipokines; mild GI effects | [234] |
| 2024 | Double-blind, placebo-controlled RCT | 70 | Berberine (1500 mg/day, 12 weeks) | ↓ ALT, cholesterol | [235] |
| 2024 | RCT (4-arm parallel design) | 43 | Spinach thylakoid extract (5 g/day) ± high-intensity functional training (HIFT) | Improved adipokines (↑ CTRP-12, KLF-15; ↓ furin), ↓ LDL, TC, TG, ↑ HDL | [236] |
| 2025 | Double-blind, placebo-controlled RCT | 108 | Hibiscus sabdariffa extract (1000 mg/day, 12 weeks) | ↓ LDL | [237] |
| 2025 | Double-blind, placebo-controlled RCT | 66 (63 analyzed) | Oligomerized polyphenol from Litchi chinensis fruit extract (200 mg/day, 12 weeks) | ↓ visceral fat area (CT-measured) | [238] |
| 2025 | Double-blind, placebo-controlled RCT | 109 completers (166 enrolled) | Chromium + Phyllanthus emblica + shilajit or P. emblica alone (12 weeks) with diet & exercise | Modest improvements in vascular function, insulin sensitivity, lipid profile, and body composition; strongest effects with higher P. emblica and Chromium doses | [239] |
| 2025 | Double-blind, placebo-controlled RCT | 96 | Cyperus rotundus extract + piperine (500 mg + 5 mg twice daily, 90 days) | ↓ body weight, BMI, waist, and hip circumference | [240] |
| 2025 | Multicenter, triple-blind, randomized 2 × 2 factorial RCT | 120 per group (four groups in the ratio 1:1:1:1 (placebo + SPN, QYY + SPN, placebo + PN, and QYY + PN) | Qingyanyin granules ± press needles (12 weeks) | ↓ waist circumference | [241] |
| Intervention | Description and Core Mechanisms | Distinct Advantages | Limitations | References |
|---|---|---|---|---|
| Medications | ||||
| GLP-1-based drugs | Mimic the GLP-1 hormone; increase insulin secretion; decrease glucagon release; slow gastric emptying; reduce appetite; administered through subcutaneous injections | Promote both glucose control and weight loss; some agents also reduce CVD. | Nausea; vomiting; headache; constipation or diarrhea; and injection site reactions | [242,243,244,245,246,247] |
| CNS stimulant/appetite suppressor | Stimulates the CNS to suppress appetite or increase satiety; an oral treatment preferably combined with behavioral therapy | Promotes rapid short-term weight loss | Insomnia; increased heart rate; elevated blood pressure; dry mouth and anxiety | [245,248,249,250] |
| Lipase inhibitors | Inhibits pancreatic lipase and reduces intestinal fat absorption by ~30%; it is a daily oral treatment | Works independently of appetite and encourages dietary fat modification | Oily stools and possible fat-soluble vitamin deficiencies | [251] |
| Surgeries | ||||
| Sleeve gastrectomy | Bariatric surgery that consists of the removal of approximately 75–80% of the stomach, resulting in a tubular gastric sleeve | Significant weight loss (50% to 60% of the weight within 2 years after surgery); improves type 2 diabetes, dyslipidemia, and hypertension | Nutritional deficiencies and gastroesophageal reflux disease (GERD) are due to the small size of the stomach | [252,253] |
| Roux-en-Y gastric bypass | Creation of a small pouch and rerouting the small intestine into this pouch | Significantly decreases body weight (about 70% of their excess body weight within 2 years post-surgery); maintains a substantial portion of this weight loss even 10 to 15 years post-surgery; improves type 2 diabetes, hypertension, and dyslipidemia | Deficiencies in vitamins and minerals, such as vitamin B12, iron, calcium, and vitamin D, due to reduced absorption, bowel obstruction, and gallstones | [254,255,256] |
| Adjustable gastric banding | Placing an adjustable silicone band around the upper part of the stomach to create a small gastric pouch | Promotes a feeling of fullness; significant weight loss and improvements in obesity-related comorbidities | Probability of band slippage, erosion, or the need for reoperation | [257,258] |
| Elipse gastric balloon(s) | The Elipse™ balloon is swallowed in the form of a capsule and then filled with liquid once it reaches the stomach. It remains in the stomach for about 16 weeks, after which it naturally deflates and is excreted from the body | Minimally invasive procedure; reversible therapy; faster feeling of fullness; reduces overall food intake; improves blood sugar levels and cholesterol | Nausea and abdominal discomfort | [259,260,261] |
| Drug | Adult Dosing for Weight Management | Elimination (Half-Life) | Mean Weight Loss Efficacy | Reduction in HbA1c (%) | CVD Outcomes |
|---|---|---|---|---|---|
| Tirzepatide | Initial dose of 2.5 mg/week for 4 weeks Increase to 5 mg/week. If needed, it may be increased to 2.5 mg/week increments every 4 weeks Maximum weekly dose: 15 mg/week | 5 days | Around 20.9% weight reduction at 72 weeks (SURMOUNT-1) | −2 to −2.5 | Benefit: 38% reduction in composite heart failure endpoints (SUMMIT trial); non-inferior MACE profile with significant cardiometabolic risk factor reduction (SURPASS-CVOT) |
| Semaglutide | Initial dose: 0.25 mg/week for 4 weeks Increase to 0.5 mg/week at week 5 Increase to 1 mg/week at week 9 Increase to 1.7 mg/week at week 13 Week 17 and after, the maintenance dose is 2.4 mg/week (in case of intolerance, the dose 1.7 mg/week may be used) | 6 to 7 days | Around 14.9% weight reduction at 68 weeks (STEP-1) | −1.5 to −2 | Benefit: 20% relative risk reduction in MACE (SELECT trial); Neutral/Benefit for HF |
| Liraglutide | Initial dose: 0.6 mg/day for 1 week Increase by 0.6 mg/day at weekly intervals to reach a dose of 3 mg/day. In case of intolerance to this increase, delay dose increases for 1 extra week. | 11 to 15 h | Around 8.0% weight reduction at 56 weeks (SCALE) | −0.8 to −1.5 | Neutral/Benefit: Cardioprotective trends observed in standard populations (SCALE and LEADER trials) |
| Phentermine/topiramate | Initial dose: Phentermine 3.75 mg with topiramate 23 mg/day daily for 14 days. Increase to phentermine 7.5 mg/topiramate 46 mg/day for 12 weeks In case of weight loss < 3% of baseline weight, dose may be increased to 11.25 mg phentermine/69 mg topiramate/day for 14 days (in case of tolerance) The maximum dose is 15 mg phentermine/92 mg topiramate/day | 19 to 24 h | Around 8.6% to 9.3% weight reduction in 56 weeks (CONQUER) | −1.6 | Neutral: Long-term CVOT data evaluating hard MACE endpoints are currently lacking; transient heart rate increases may occur |
| Naltrexone/bupropion | Initial dose: 8 mg naltrexone/90 mg bupropion/day. Increase to 1 dose twice daily at week 2 Increase to 2 doses in the morning and one dose in the evening at week 3 Increase to 2 doses in the morning and 2 doses in the evening at week 4 Maximum dose: 4 tablets (32 mg naltrexone/360 mg bupropion)/day | 5–21 h | Around 5.0% to 6.1% weight reduction at 56 weeks (COR-I) | −0.6 (CORE-Diabetes Trial) | Neutral: Lacks definitive long-term CVOT data due to early termination of historical safety trials |
| Orlistat | 60 mg 3 times/day (with each main meal containing fat) Maximum dose: 180 mg/day. | 1–2 h | Around 5.0% to 5.8% weight reduction at 52 weeks (XENDOS) | −0.6 to −1.7 | Neutral: No direct MACE or heart failure benefits; secondary metabolic benefit derived strictly from reduced intestinal fat absorption |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Abdallah, H.; Khalil, M.; Mahdi, L.; Pietragalla, G.; Faienza, M.F.; Garruti, G.; Portincasa, P. Understanding Obesity as a Multisystem Disease: Advancing Research, Redefining Diagnostic Criteria, and Establishing Modern Therapeutic Approaches. Nutrients 2026, 18, 2317. https://doi.org/10.3390/nu18142317
Abdallah H, Khalil M, Mahdi L, Pietragalla G, Faienza MF, Garruti G, Portincasa P. Understanding Obesity as a Multisystem Disease: Advancing Research, Redefining Diagnostic Criteria, and Establishing Modern Therapeutic Approaches. Nutrients. 2026; 18(14):2317. https://doi.org/10.3390/nu18142317
Chicago/Turabian StyleAbdallah, Hala, Mohamad Khalil, Laura Mahdi, Gianni Pietragalla, Maria Felicia Faienza, Gabriella Garruti, and Piero Portincasa. 2026. "Understanding Obesity as a Multisystem Disease: Advancing Research, Redefining Diagnostic Criteria, and Establishing Modern Therapeutic Approaches" Nutrients 18, no. 14: 2317. https://doi.org/10.3390/nu18142317
APA StyleAbdallah, H., Khalil, M., Mahdi, L., Pietragalla, G., Faienza, M. F., Garruti, G., & Portincasa, P. (2026). Understanding Obesity as a Multisystem Disease: Advancing Research, Redefining Diagnostic Criteria, and Establishing Modern Therapeutic Approaches. Nutrients, 18(14), 2317. https://doi.org/10.3390/nu18142317

