Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.9
3.3
Journals
Diagnostics
Special Issues
Clinical and Biochemical Diagnosis and Management of Obesity
share announcement

Clinical and Biochemical Diagnosis and Management of Obesity

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 350

Special Issue Editor

Prof. Dr. Iwona Beń-Skowronek

E-Mail Website
Guest Editor
Department of Pediatric Endocrinology and Diabetology with Endocrine-Metabolic Laboratory, Medical University in Lublin, 20-093 Lublin, Poland
Interests: pediatrics; endocrinology; diabetology; thyroid diseases in children; growth disorders; obesity and eating disorders

Special Issue Information

Dear Colleagues,

This Special Issue of Diagnostics, titled "Clinical and Biochemical Diagnosis and Management of Obesity," will explore the transition to a precision medicine model for this complex chronic disease. It will move beyond Body Mass Index (BMI) to highlight advanced diagnostic strategies, including the assessment of body composition, metabolic dysfunction, and key biochemical pathways. The Special Issue will feature contributions on the utility of biomarkers, genetic insights, and modern imaging in stratifying obesity phenotypes and associated cardiometabolic risks, as well as others such as liver dysfunction, insulin resistance, bone system dysfunction and quality of life.

In parallel, it will examine evolving, evidence-based management frameworks. Topics will encompass integrated therapeutic approaches—from personalized nutrition and behavior change to novel pharmacotherapies and metabolic surgery—emphasizing how diagnostic precision informs tailored treatment. This collection will underscore the necessity of a multidimensional understanding of obesity’s heterogeneity to improve patient outcomes and advance the field.

Prof. Dr. Iwona Beń-Skowronek
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • obesity
  • biomarker
  • body composition
  • metabolic assessment
  • multidisciplinary management
  • bariatric surgery

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

19 pages, 1497 KB  
Article
Irisin as an Associative Marker of Metabolic Dysregulation in Obesity: Comparative Profiling of IL-6, IL-15, IL-1β, and CCL2
by Wiktoria Narloch, Marta Jaskulak, Klaudia Antoniak-Pietrynczak and Katarzyna Zorena
Diagnostics 2026, 16(10), 1459; https://doi.org/10.3390/diagnostics16101459 - 11 May 2026
Viewed by 131
Abstract
Background/Objectives: Obesity is a complex metabolic disorder associated with chronic low-grade inflammation, insulin resistance, and increased risk of metabolic complications. Traditional measures, such as body mass index (BMI), may not detect early metabolic disturbances. Myokines and cytokines, including irisin, C-C Motif Chemokine (CCL2), [...] Read more.
Background/Objectives: Obesity is a complex metabolic disorder associated with chronic low-grade inflammation, insulin resistance, and increased risk of metabolic complications. Traditional measures, such as body mass index (BMI), may not detect early metabolic disturbances. Myokines and cytokines, including irisin, C-C Motif Chemokine (CCL2), interleukin-1β (IL-1β), interleukin-6 (IL-6), and interleukin-15 (IL-15), have been proposed as potential biomarkers. This study aimed to investigate the relationships between these biomarkers and metabolic parameters in adults with varying BMI. Methods: Fifty-one adults (mean age 38 ± 11 years) were stratified by BMI into normal weight, overweight, and obese groups. Serum irisin, CCL2, IL-1β, IL-6, and IL-15 concentrations were measured along with metabolic parameters, including insulin, HOMA-IR, C-peptide, and visceral fat. Statistical analyses included Pearson’s correlation, Kruskal–Wallis ANOVA with Bonferroni correction, and subgroup analyses for insulin resistance (HOMA-IR ≥ 2.5). Results: Irisin concentrations were significantly higher in overweight and obese participants compared with normal-weight individuals (p < 0.001) and positively correlated with insulin (r = 0.77), HOMA-IR (r = 0.63), C-peptide (r = 0.71), and BMI (r = 0.54). In contrast, IL-6 and IL-15 levels did not differ significantly across BMI groups, although IL-15 showed a borderline increase in insulin-resistant individuals (p = 0.048). Both IL-1β and CCL2 were significantly elevated across increasing body-weight categories and showed strong positive correlations with measures of adiposity, visceral fat, and insulin resistance; however, neither marker differed significantly when participants were stratified by insulin-resistance status. Additionally, multivariable linear regression identified irisin as the only independent predictor of insulin resistance, while CCL2 was the strongest predictor of BMI. Principal component analysis (PCA) revealed two dominant components separating metabolic (irisin, HOMA-IR, insulin, BMI) and inflammatory (IL-1β, CCL2) profiles, supporting the distinction between metabolic and inflammatory pathways in obesity. Conclusions: Irisin appears to be a sensitive associative marker of metabolic dysregulation associated with increased body mass and insulin resistance. In contrast, IL-1β and CCL2 reflect obesity-related inflammatory burden rather than early metabolic changes, while IL-6 and IL-15 did not reflect early metabolic alterations in this study. Together, these findings suggest that irisin may serve as an associative biomarker for identifying individuals at risk of obesity-related metabolic disturbances, whereas CCL2 and IL-1β may be more indicative of chronic adipose tissue inflammation. Full article
(This article belongs to the Special Issue Clinical and Biochemical Diagnosis and Management of Obesity)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop