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The Influence of Gut Microbial Species on Diabetes Mellitus

Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Qatar Foundation, Doha 24144, Qatar
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(9), 8118;
Submission received: 13 March 2023 / Revised: 16 April 2023 / Accepted: 20 April 2023 / Published: 1 May 2023
(This article belongs to the Special Issue Gut Microbiota–Host Interactions: From Symbiosis to Dysbiosis 2.0)


Diabetes mellitus (DM) is a metabolic disorder with an alarming incidence rate and a considerable burden on the patient’s life and health care providers. An increase in blood glucose level and insulin resistance characterizes it. Internal and external factors such as urbanization, obesity, and genetic mutations could increase the risk of DM. Microbes in the gut influence overall health through immunity and nutrition. Recently, more studies have been conducted to evaluate and estimate the role of the gut microbiome in diabetes development, progression, and management. This review summarizes the current knowledge addressing three main bacterial species: Bifidobacterium adolescentis, Bifidobacterium bifidum, and Lactobacillus rhamnosus and their influence on diabetes and its underlying molecular mechanisms. Most studies illustrate that using those bacterial species positively reduces blood glucose levels and activates inflammatory markers. Additionally, we reported the relationship between those bacterial species and metformin, one of the commonly used antidiabetic drugs. Overall, more research is needed to understand the influence of the gut microbiome on the development of diabetes. Furthermore, more efforts are required to standardize the model used, concentration ranges, and interpretation tools to advance the field further.

1. Introduction

1.1. Diabetes Mellitus (DM)

Diabetes mellitus is one of the main leading causes of morbidity and mortality worldwide [1]. It is a chronic metabolic disease characterized by hyperglycemia, an elevation in the blood glucose level caused by a defect in insulin secretion and/or action [2,3,4]. Diabetes is classified into three main types based on its genetics, etiology, and diagnostic criteria: type 1, type 2, and gestational diabetes [5]. Their complications in several organs, such as the heart, eyes, and kidneys, profoundly affect the patient’s quality of life [6]. Depending on the kind and duration of diabetes, the symptoms may include polyuria, polyphagia, polydipsia, and weight loss [7]. Currently, oral and injectable antidiabetic drugs, insulin therapy, and lifestyle management are the primary therapeutic modalities used to treat diabetes. However, the alarmingly high rate of diabetes worldwide shows the necessity to develop new and more effective therapeutic approaches to target the disease and its complications [8].

1.2. Gut Microbiome and Diabetes

The human gut microbiome comprises 100 trillion bacterial species in the intestinal tract [9]. It is regulated by internal and external factors such as genetics, diet, and medications [10]. The gut microbiome influences the overall health status of an individual through nutrition, physiology, and immunity [11]. Disruption in the diversity of the gut microbiome is linked to multiple pathological conditions, including diabetes [12,13]. Gut dysbiosis and increased gut permeability result in the translocation of lipopolysaccharide, which can activate the innate immune system [14]. In diabetic patients, the level of lipopolysaccharide in the plasma was higher compared with healthy participants, resulting in low-grade inflammation that may have caused insulin resistance [15,16]. The observed inflammatory responses in diabetic patients may be caused by gut microbiome dysbiosis and their major metabolites, such as bile and short-chain fatty acids, which regulate glucose metabolism and insulin sensitivity [17]. This shows that the gut microbiome may be an essential driver of the pathogenesis of diabetes and can be used as a potential therapeutic target.

1.3. Gut Microbial Profile in Diabetes

Two prominent phyla, Firmicutes and Bacteroides, are present in the gut, representing 60–80% of the species [18]. Changes in their abundance have been linked to multiple pathological changes [19,20]. In a study of 36 male participants, 18 of which were diabetic, the level of Firmicutes was significantly higher in the control group compared to the diabetic group (p-value = 0.03) [21,22]. This suggests a possible positive correlation between diabetes and gut microbiome composition. Furthermore, the reduced level of butyrate-producing bacteria such as clostridiales sp. influences insulin sensitivity, low-grade inflammatory response, and glucose and fat metabolism in diabetic patients [23,24,25]. Not only at a phylum level but some bacterial species, such as Lactobacillus, have been linked to diabetes as they positively correlate with fasting blood glucose and glycosylated hemoglobin [26]. Taken together, more efforts are required as different cohort studies showed inconsistent findings.
The gut–brain axis in diabetes management has gained more attention recently as it might provide promising potential. The gut microbiome critically influences the glucose homeostasis pathway by interacting with energy-regulating centers in the brain about incoming nutrient materials [27]. This supports the importance of the metabolites produced by the gut microbiome.
Throughout the literature, the role of the gut microbiome in diabetes management is discussed. Here we evaluate and analyze published studies that report the influence of three bacterial species, Bifidobacterium adolescentis, Bifidobacterium bifidum, and Lactobacillus rhamnosus, on diabetes mellitus. Furthermore, we assess the impact of their effect on specific pathways. Finally, we identify gaps in the current research.

2. Search Strategy and Selection Criteria

Medline, Scopus, and PubMed were searched for manuscripts published from 2000 to 2023 using the search terms “diabetes”, “microbiota”, “microbiota AND diabetes”, “microbiome profile AND diabetes”, “gut microbiota enzymes”, “Bifidobacterium adolescentis AND diabetes”, “Bifidobacterium bifidum AND diabetes”, “Lactobacillus rhamnosus AND diabetes”. We selected eighty-five articles and analyzed them in detail for this review. Eligible studies included in vivo, in vitro, and clinical trial publications addressing the beneficial effects of selected bacteria on diabetes and its complications.

3. Diabetes Management Using Microbial Species

The development of diabetes is associated with profound gut dysbiosis [28]. Restoring the balance of gut microbiome composition by administering probiotics (live non-pathogenic microorganisms) in an adequate concentration has been reported to improve diabetes [29]. Several human and non-human studies reported the influence of using probiotics for diabetes. For example, in diabetic patients given yogurt containing L. acidophilus La5 and B. lactis Bb12 as probiotics, fasting blood glucose, insulin, insulin resistance, and glycosylated hemoglobin levels were reduced [30]. A meta-analysis of 520 type 2 diabetic patients reported that probiotic administration improved glycemic control and lipid metabolism [31]. Probiotic administration also influences oxidative status and inflammatory parameters in diabetic patients [32]. Seventy participants with diabetes were given probiotics for a month which significantly reduced the levels of IL-6, IL-1, IL-8, and TNF-a compared to the control group [33]. The data showed how probiotic administration influenced the inflammatory response in participants with diabetes. The administration of Lactobacillus for two months reduces uric nitrogen in the blood [34]. Additionally, probiotic administration influenced and regulated the level of glycated hemoglobin, total cholesterol, triglycerides, and low-density lipoprotein cholesterol in pre-clinical diabetes [35]. On the other hand, similar results were observed when the probiotic was given to animal models. The administration of Bifidobacterium for one month and Lactobacillus for three months in a mouse model with type 2 diabetes was reported to normalize glucose metabolism and insulin sensitivity [36,37]. One of the concerns with probiotic treatment is safety and tolerability. All the mentioned studies reported no adverse effects and probiotic usage was safe. Despite that, more efforts are required to standardize the protocol and estimate the proper dosage.

4. The Influence of Specific Microbial Species on Diabetes

Throughout our research, multiple reports discuss the influence of three bacterial species, Bifidobacterium adolescentis, Bifidobacterium bifidum, and Lactobacillus rhamnosus, on diabetes mellitus. Here, we discuss each of them in detail and provide insight into the mechanisms by which they improve diabetes. Figure 1 highlights an overview of the three species and their main characteristics.

4.1. Bifidobacterium adolescentis

Bifidobacteria are Gram-positive, non-spore-forming, and non-motile bacteria known to be the first colonizer of the infant gut [38]. Their presence in the gut has been linked to several beneficial effects on the host as they prevent intestinal inflammation, colonic adenomas, and cancer [39]. Bifidobacterium adolescentis is a vital gut flora in adults [40,41]. In patients with type 2 diabetes, the abundance of B. adolescentis in the intestine is significantly reduced [42]. Using B. adolescentis (1 × 108 cfu/mL) daily on twenty volunteers aged 50 to 60 for thirty days as a supplementation alleviates gut microbiome disorder and reduces blood glucose [43].
Additionally, administering eight strains of B. adolescentis (2 × 108 cfu/mL) for 12 weeks in diabetic mice restored gut microbiome homeostasis, alleviated inflammation, and increased the abundance of short-chain fatty acid-producing microorganisms [44]. Moreover, supplementing B. adolescentis (5 × 108 cfu/mL) in mice fed a high-fat diet daily for twelve weeks improved insulin sensitivity and reduced visceral fat accumulation [45]. Unfortunately, the literature lacks more data that support or challenge the observed beneficial effects of B. adolescentis administration in diabetes. Furthermore, protocol standardization is required to ensure the safety and efficacy of using such an approach. Figure 2 highlights the main pathways affected by B. adolescentis administration in diabetes.

4.2. Bifidobacterium bifidum

Bifidobacterium bifidum is one species of naturally occurring microbiota detected in breastfed infants [46]. It is considered a dominant resident of the gut population [47]. B. bifidum consists of 3000 genes that encode carbohydrate enzymes such as glycosyl transferases (GTs), glycosyl hydrolases (GHs), and carbohydrate esterases (CEs) [48]. This showed the ability of B. bifidum to metabolize host-derived glycans such as human milk oligosaccharides and mucin [49]. Using B. bifidum in diabetes management has started to gain more scientific attention recently. A single administration dosage of 1 × 107 cfu/mL daily for 28 days reduced fasting blood glucose, glycosylated hemoglobin, triglycerides (TG), and total cholesterol in Wistar rats [50]. Additionally, diabetic patients treated with a collection of probiotics, including B. bifidum (2 × 109 cfu/mL) daily for 12 weeks, significantly decreased insulin resistance, fasting blood glucose, and increased insulin sensitivity and HDL cholesterol level. It also improved the total antioxidant capacity and reduced the C-reactive protein level [51]. The combination treatment of different Bifidobacterium spp., including B. bifidum and excluding B. adolescentis, ameliorated insulin resistance and reduced blood glucose levels in mice [52]. More studies are needed to evaluate how B. bifidum manages diabetes. Additionally, studies that address the influence of B. bifidum and B. adolescentis may be essential for better treatment outcomes. Figure 3 highlights the main pathways affected by B. bifidum administration in diabetes.

4.3. Lactobacillus rhamnosus

Lactobacillus rhamnosus was first isolated in 1983 and is known for its ability to resist stomach acidity and strong avidity for intestinal cells. It has been widely used in targeting multiple pathological conditions, such as cancer, as an effective probiotic [53]. Administering L. rhamnosus daily (1 × 108 cfu/mL) in rodents for four weeks improved glucose tolerance by reducing endoplasmic reticulum stress [54]. Additionally, in mice fed a high-fat diet, treating 109 cfu/mL of L. rhamnosus daily significantly reduced the insulin level and fasting blood glucose. It also reduced proinflammatory cytokines such as IL-6 and TNF-a [55].
Furthermore, oral administration of L. rhamnosus improved glucose tolerance in diabetic rats by downregulating the expression of glucose 6 phosphatase [56]. The administration of L. rhamnosus to diabetic mice reduced insulin, glycosylated hemoglobin, and fasting blood glucose levels and increased glucagon-like peptide 1 levels in serum [57]. Similar results were obtained when 3 month old male Zebrafish were used [58]. These observations show the urgent need for protocol standardization and model specification to estimate the beneficial effect of L. rhamnosus in diabetes. Figure 4 highlights the main pathways affected by L. rhamnosus administration in diabetes. Table 1 summarizes the data available in the literature that address the influence of the species Bifidobacterium adolescentis, Bifidobacterium bifidum, and Lactobacillus rhamnosus on diabetes mellitus. The table includes essential data about the targeted pathway tested, the mode of administration, the effects on diabetes, the follow-up period, and the method and model used in each study.

5. Discussion

Diabetes is a global metabolic condition with a high incidence rate worldwide. Developing new and improved therapeutic approaches to target the disease and its complications is necessary. The gut microbiota has been linked recently to diabetes. Here, we searched the literature and reported the role played by the three commonly addressed microbial species on diabetes: Bifidobacterium adolescentis, Bifidobacterium bifidum, and Lactobacillus rhamnosus. Both animal and human studies reported the influence of Bifidobacterium adolescentis administration on blood glucose level, an abundance of short-chain fatty acids, and inflammatory response in a dose dependent manner that ranges from 1 × 108 to 5 × 108 CFU/mL. Moreover, administering Bifidobacterium bifidum (1 × 107–2 × 109 CFU/mL) reduced fasting blood glucose, insulin resistance, and improved sensitivity in human participants with diabetes and animal models. Unfortunately, this is not the case with Lactobacillus rhamnosus as most of the available studies reported the role of this species on diabetes in animal models only. Despite that, the data support the positive influence of this species on insulin resistance and lipid profile.
Throughout the literature, we observed the lack of standardization regarding the protocol followed, the model used, the diet used to induce diabetes in animal models, and the mode of administration, as most studies followed oral or intraperitoneal administration. Establishing standardized protocols that specify specific guidelines will help further advance the field. Additionally, the literature shows that many studies investigate a single microbial species. The gut microbiome is a community of microorganisms interacting with each other and the host. Isolating and investigating a single organism only might not be of great interest. As a starting point, a study may investigate the influence of the three bacterial species mentioned in this paper on diabetes in human and animal models and report the challenges and limitations. By doing so, we can then, step by step, look at the gut microbiome as a community in the context of health and diseases. The following sections highlight some essential topics that need further discussion and research for better treatment outcomes.

5.1. The Influence of Combination Therapy on Diabetes

Diabetes is managed mainly by antidiabetic drugs such as metformin [61]. Its administration augments glucose uptake in tissues and reduces glucose output [62]. Due to its high efficacy and safety level, metformin is used as the first line of treatment in patients with type 2 diabetes [63]. Various research supports the influence of metformin on the gut microbiome [64]. In a randomized study of patients with type 2 diabetes, the administration of metformin altered the composition and function of the gut microbiome. The results also showed how metformin prompted the growth of B. adolescentis, which was associated with reduced blood glucose levels [65].
Additionally, metformin treatment altered the composition of the gut microbiome by enhancing the growth of Lactobacillus, Bifidobacterium, and Escherichia and reducing the abundance of Intestinibacter bartlettii [66]. Those reports prompted more research in the field of combination therapy and diabetes. The co-administration of metformin and B. bifidum in rats suppressed the metformin effect on feces while maintaining the antihyperglycemic effect of metformin [67]. Furthermore, the combination treatment of metformin and B. bifidum in 40 patients with diabetes for ten weeks significantly improved the gastrointestinal symptoms associated with metformin without altering the glucose control effect of the medication [68]. More studies are required to assess and evaluate those results on other bacterial species, such as B. adolescentis and L. rhamnosus. More research is needed to evaluate this approach with other antidiabetic drugs, such as sulfonylureas and meglitinides. Figure 5 highlights the influence of metformin on the three discussed bacterial species.

5.2. The Influence of Flavonoids on Species Abundance

Flavonoids are natural compounds present abundantly in fruits and vegetables and exert several biological benefits, such as anticancer and anti-inflammatory properties. Our previous work extensively covers the influence of flavonoids and phytochemicals consumption on metabolic conditions such as diabetes and cancer. We also reported the relationship between the gut microbiome and flavonoid metabolism in the context of health and disease [69,70,71,72,73]. In this section, we report the influence of flavonoid consumption on the abundance of Bifidobacterium adolescentis, Bifidobacterium bifidum, and Lactobacillus rhamnosus. An in vitro stimulated fermentation method was used to evaluate the influence of nine flavonoids—hesperidin, hesperetin-7-O-glucoside, hesperetin, naringin, prunin, naringenin, rutin, isoquercitrin, and quercetin—in 10 healthy Chinese volunteers. The results showed that the administration of hesperetin-7-O-glucoside, prunin, and isoquercitrin significantly enhanced the abundance of Bifidobacterium spp. [74]. Additionally, adding quercetin significantly increased the abundance of Bifidobacterium adolescentis in particular [75]. Interestingly, and in another report, the administration of quercetin enhanced the quantity of Lactobacillus rhamnosus while inhibiting the growth of pathogenic bacteria [76,77]. This may support the synergistic effect of the same flavonoids on the abundance of different bacterial species in the gut. Research that supports those findings in the context of diabetes is lacking in the literature. We think conducting more research in that area can provide insight into a potential new treatment/management for diabetes. Moreover, studies that evaluate the efficacy and safety of using flavonoids in combination with other antidiabetic drugs are necessary. Furthermore, the bioavailability challenge accompanying flavonoid administration may be improved if we better understand the role of the gut microbiome.

5.3. Fecal Microbiota Transplantation and Diabetes

Fecal microbiota transplantation (FMT) transfers the stool sample of a healthy participant into the colon of a patient suffering from a medical condition to restore the typical abundance and function of the gut microbiota [78,79]. The procedure is considered well-tolerated and safe, with minor side effects such as abdominal cramps and diarrhea [80]. FMT has been used to treat metabolic syndrome, inflammatory bowel disease, and diabetes [81,82]. A 24-year-old patient with type 1 diabetes treated with FMT showed a graduate improvement in blood glucose level, glycosylated hemoglobin, and nutritional status. Additionally, the abundance of gut bacterial species changed after the treatment [83]. Furthermore, an open-labeled controlled trial of 13 patients with type 2 diabetes revealed that the treatment with FMT improved blood glucose levels, glycosylated hemoglobin, and the abundance of Bifidobacterium [84]. Furthermore, mice with type 2 diabetes were treated with FMT and reported an improvement in the level of insulin resistance while the level of inflammatory response was reduced. Additionally, Western blots and flow cytometry results reported inhibition of the apoptotic pathway after the FMT treatment [85]. Although none of the studies reported adverse side effects of the FMT treatment, more studies are required to assess and standardize the mode of administration, the concentration, and the safety of the procedure. Unfortunately, the literature still lacks more information that links the effect of FMT on restoring the abundance of the three bacterial species—Bifidobacterium adolescentis, Bifidobacterium bifidum, and Lactobacillus rhamnosus—in diabetic patients/models. Despite that, reporting the available data that support the positive influence of FMT on diabetes and gut microbiome profile, in general, may provide a roadmap for structured research in linking FMT to the three bacterial species and diabetes.

6. Conclusions

Diabetes mellitus is a chronic condition with a massive burden on patients worldwide. Developing new targets and management plans which can be used with the currently used treatment is essential. The gut microbiome has been recently used in diabetic research. Throughout our study, we observed a lack in the literature of data that addresses specific bacterial species and their correlation with diabetes. Bifidobacterium adolescentis, Bifidobacterium bifidum, and Lactobacillus rhamnosus are the most commonly addressed bacterial species with diabetes in the literature. Those bacterial species were reported to reduce the biochemical parameters of diabetes and improve its complications.
Unfortunately, the field still lacks standardization in the protocol followed, the models used, and the interpretations. Furthermore, more efforts are required to address the available online Atlases that discuss gut microbiome causality without solid evidence. Generally, the gut microbiome field will be essential in futuristic treatments, primarily when combined with other therapeutic options. However, more research is needed to evaluate the safety and efficacy of this proposed approach.

Author Contributions

Conceptualization, R.K.A.-I. and D.B.; literature review and resources, R.K.A.-I.; writing—original draft preparation, R.K.A.-I.; writing—review and editing, R.K.A.-I., S.M.S. and D.B.; figure preparation and editing, R.K.A.-I. and D.B.; visualization, R.K.A.-I. and D.B.; supervision, D.B.; project administration, D.B.; funding acquisition, D.B. All authors have read and agreed to the published version of the manuscript.


S.M.S. was supported by a National Priorities Research Program grant (NPRP 14S-0311-210033; awarded to Dietrich Büsselberg, January 2023–current) from the Qatar National Research Fund (QNRF, a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing not applicable.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analysis, or interpretation of data; in the writing of the manuscript, or in the decision to publish the article.


CEs carbohydrate esterases
CRCcolorectal cancer
DM diabetes mellitus
FMTfecal microbiota transplantation
GHs glycosyl hydrolases
GLP-1 glucagon-like peptide 1
GLUT glucose transporter
GTs glycosyl transferases
HbA1c hemoglobin A1C (glycated hemoglobin)
HFD high-fat diet
IL-6 interleukin 6
LDL light density lipoprotein
NF-B nuclear Factor kappa-light-chain-enhancer of activated B cells
PFM probiotic fermented milk
SCFAshort chain fatty acid
STZ streptozotocin
TC total cholesterol
TG triglyceride
TNF tumor necrosis factor


  1. Zhou, C.; Byard, R.W. An Analysis of The Morbidity and Mortality of Diabetes Mellitus in a Forensic Context. J. Forensic Sci. 2018, 63, 1149–1154. [Google Scholar] [CrossRef] [PubMed]
  2. Kharroubi, A.T.; Darwish, H.M. Diabetes mellitus: The epidemic of the century. World J. Diabetes 2015, 6, 850–867. [Google Scholar] [CrossRef] [PubMed]
  3. Banday, M.Z.; Sameer, A.S.; Nissar, S. Pathophysiology of diabetes: An overview. Avicenna J. Med. 2020, 10, 174–188. [Google Scholar] [CrossRef] [PubMed]
  4. Chen, L.; Magliano, D.J.; Zimmet, P.Z. The worldwide epidemiology of type 2 diabetes mellitus-present and future perspectives. Nat. Rev. Endocrinol. 2011, 8, 228–236. [Google Scholar] [CrossRef] [PubMed]
  5. Al-Ishaq, R.K.; Mazurakova, A.; Kubatka, P.; Busselberg, D. Flavonoids’ Dual Benefits in Gastrointestinal Cancer and Diabetes: A Potential Treatment on the Horizon? Cancers 2020, 14, 6073. [Google Scholar] [CrossRef]
  6. Reyes, J.; Tripp-Reimer, T.; Parker, E.; Muller, B.; Laroche, H. Factors Influencing Diabetes Self-Management Among Medically Underserved Patients with Type II Diabetes. Glob. Qual. Nurs. Res. 2017, 4, 3097. [Google Scholar] [CrossRef]
  7. Ramachandran, A. Know the signs and symptoms of diabetes. Indian J. Med. Res. 2014, 140, 579–581. [Google Scholar]
  8. Blaslov, K.; Naranda, F.S.; Kruljac, I.; Renar, I.P. Treatment approach to type 2 diabetes: Past, present and future. World J. Diabetes 2018, 9, 209–219. [Google Scholar] [CrossRef]
  9. Al Bander, Z.; Nitert, M.D.; Mousa, A.; Naderpoor, N. The Gut Microbiota and Inflammation: An Overview. Int. J. Environ. Res. Public Health 2020, 17, 7618. [Google Scholar] [CrossRef]
  10. Singh, R.K.; Chang, H.W.; Yan, D.; Lee, K.M.; Ucmak, D.; Wong, K.; Liao, W. Influence of diet on the gut microbiome and implications for human health. J. Transl. Med. 2017, 15, 73. [Google Scholar] [CrossRef]
  11. Thursby, E.; Juge, N. Introduction to the human gut microbiota. Biochem. J. 2017, 474, 1823–1836. [Google Scholar] [CrossRef]
  12. Forslund, K.; Hildebrand, F.; Nielsen, T.; Falony, G.; Le Chatelier, E.; Sunagawa, S.; Pedersen, O. Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota. Nature 2015, 528, 262–266. [Google Scholar] [CrossRef]
  13. Chen, Z.; Radjabzadeh, D.; Chen, L.; Kurilshikov, A.; Kavousi, M.; Ahmadizar, F.; Voortman, T. Association of Insulin Resistance and Type 2 DiabetesWith Gut Microbial Diversity: A Microbiome-Wide Analysis from Population Studies. JAMA Netw. Open 2021, 4, e2118811. [Google Scholar] [CrossRef]
  14. Creely, S.J.; McTernan, P.G.; Kusminski, C.M. Lipopolysaccharide activates an innate immune system response in human adipose tissue in obesity and type 2 diabetes. Am. J. Physiol. Endocrinol. Metab. 2007, 292, E740–E747. [Google Scholar] [CrossRef]
  15. Cani, P.D.; Amar, J.; Iglesias, M.A. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes 2007, 56, 1761–1772. [Google Scholar] [CrossRef]
  16. Moreno-Navarrete, J.M.; Manco, M.; Ibáñez, J. Metabolic endotoxemia and saturated fat contribute to circulating NGAL concentrations in subjects with insulin resistance. Int. J. Obes. 2010, 34, 240–249. [Google Scholar] [CrossRef]
  17. Tolhurst, G.; Heffron, H.; Lam, Y.S.; Parker, H.E.; Habib, A.M.; Diakogiannaki, E.; Gribble, F.M. Short-chain fatty acids stimulate glucagon-like peptide-1 secretion via the G-protein-coupled receptor FFAR2. Diabetes 2020, 61, 364–371. [Google Scholar] [CrossRef]
  18. Polidori, I.; Marullo, L.; Ialongo, C.; Tomassetti, F.; Colombo, R.; di Gaudio, F.; Pieri, M. Characterization of Gut Microbiota Composition in Type 2 Diabetes Patients: A Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 15913. [Google Scholar] [CrossRef]
  19. Gerard, C.; Vidal, H. Impact of Gut Microbiota on Host Glycemic Control. Front. Endocrinol. 2019, 10, 29. [Google Scholar] [CrossRef]
  20. Martin, A.M.; Yabut, J.M.; Choo, J.M.; Page, A.J.; Sun, E.W.; Jessup, C.F.; Keating, D.J. The gut microbiome regulates host glucose homeostasis via peripheral serotonin. Proc. Natl. Acad. Sci. USA 2019, 116, 19802–19804. [Google Scholar] [CrossRef]
  21. Larsen, N.; Vogensen, F.K.; van den Berg, F.W.; Nielsen, D.S.; Andreasen, A.S.; Pedersen, B.K.; Jakobsen, M. Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. PLoS ONE 2010, 5, e9085. [Google Scholar] [CrossRef] [PubMed]
  22. Howard, E.J.; Lam, T.K.T.; Duca, F.A. The Gut Microbiome: Connecting Diet, Glucose Homeostasis, and Disease. Annu. Rev. Med. 2022, 73, 469–481. [Google Scholar] [CrossRef] [PubMed]
  23. Delzenne, N.M.; Cani, P.D. Gut microbiota and the pathogenesis of insulin resistance. Curr. Diabetes Rep. 2011, 11, 154–159. [Google Scholar] [CrossRef] [PubMed]
  24. Li, W.Z.; Stirling, K.; Yang, J.J.; Zhang, L. Gut microbiota and diabetes: From correlation to causality and mechanism. World J. Diabetes 2020, 11, 293–308. [Google Scholar] [CrossRef]
  25. Zhang, L.; Chu, J.; Hao, W.; Zhang, J.; Li, H.; Yang, C.; Wang, H. Gut Microbiota and Type 2 Diabetes Mellitus: Association, Mechanism, and Translational Applications. Mediat. Inflamm. 2021, 2021, 5110276. [Google Scholar] [CrossRef]
  26. Karlsson, F.H.; Tremaroli, V.; Nookaew, I.; Bergstrom, G.; Behre, C.J.; Fagerberg, B.; Backhed, F. Gut metagenome in European women with normal, impaired and diabetic glucose control. Nature 2013, 498, 99–103. [Google Scholar] [CrossRef]
  27. Wachsmuth, H.R.; Weninger, S.N.; Duca, F.A. Role of the gut-brain axis in energy and glucose metabolism. Exp. Mol. Med. 2022, 54, 377–392. [Google Scholar] [CrossRef]
  28. Tilg, H.; Moschen, A.R. Microbiota and diabetes: An evolving relationship. Gut 2014, 63, 1513–1521. [Google Scholar] [CrossRef]
  29. Fijan, S. Microorganisms with claimed probiotic properties: An overview of recent literature. Int. J. Environ. Res. Public Health 2014, 11, 4745–4767. [Google Scholar] [CrossRef]
  30. Shah, N.; Swami, O. Role of probiotics in diabetes: A review of their rationale and efficacy. EMJ Diabetes 2017, 5, 104–110. [Google Scholar] [CrossRef]
  31. Zhang, Q. Effect of probiotics on glucose metabolism in patients with type 2 diabetes mellitus: A meta-analysis of randomized controlled trials. Medicina 2016, 52, 28–34. [Google Scholar] [CrossRef]
  32. Ejtahed, H.S.; Mohtadi-Nia, J.; Homayouni-Rad, A.; Niafar, M.; Asghari-Jafarabadi, M.; Mofid, V. Probiotic yogurt improves antioxidant status in type 2 diabetic patients. Nutrition 2012, 28, 539–543. [Google Scholar] [CrossRef]
  33. Mykhal’chyshyn, H.P. Effect of probiotics on proinflammatory cytokines level in patients with type 2 diabetes and nonalcoholic fatty liver disease. Likars’ ka Sprava 2013, 56–62. [Google Scholar]
  34. Iatcu, C.O.; Steen, A.; Covasa, M. Gut Microbiota and Complications of Type-2 Diabetes. Nutrients 2021, 14, 166. [Google Scholar] [CrossRef]
  35. Li, Y.; Wu, Y.; Wu, L.; Qin, L.; Liu, T. The effects of probiotic administration on patients with prediabetes: A meta-analysis and systematic review. J. Transl. Med. 2022, 20, 498. [Google Scholar] [CrossRef]
  36. Amar, J.; Chabo, C.; Waget, A.; Klopp, P.; Vachoux, C.; Bermúdez-Humarán, L.G.; Smirnova, N.; Bergé, M.; Sulpice, T.; Lahtinen, S.; et al. Intestinal mucosal adherence and translocation of commensal bacteria at the early onset of type 2 diabetes: Molecular mechanisms and probiotic treatment. EMBO Mol. Med. 2011, 3, 559–572. [Google Scholar] [CrossRef]
  37. Yun, S.; Park, H.; Kang, J. Effect of Lactobacillus gasseri BNR17 on blood glucose levels and body weight in a mouse model of type 2 diabetes. J. Appl. Microbiol. 2009, 107, 1681–1686. [Google Scholar] [CrossRef]
  38. Turroni, F.; Peano, C.; Pass, D.A.; Foroni, E.; Severgnini, M.; Claesson, M.J.; Ventura, M. Diversity of bifidobacteria within the infant gut microbiota. PLoS ONE 2012, 7, e36957. [Google Scholar] [CrossRef]
  39. Picard, C.; Fioramonti, J.; Francois, A.; Robinson, T.; Neant, F.; Matuchansky, C. Review article: Bifidobacteria as probiotic agents—Physiological effects and clinical benefits. Aliment. Pharmacol. Ther. 2005, 22, 495–512. [Google Scholar] [CrossRef]
  40. Turroni, F.; van Sinderen, D.; Ventura, M. Genomics and ecological overview of the genus Bifidobacterium. Int. J. Food Microbiol. 2011, 149, 37–44. [Google Scholar] [CrossRef]
  41. Jung, D.H.; Chung, W.H.; Seo, D.H.; Kim, Y.J.; Nam, Y.D.; Park, C.S. Complete genome sequence of Bifidobacterium adolescentis P2P3, a human gut bacterium possessing strong resistant starch-degrading activity. 3 Biotech 2020, 10, 31. [Google Scholar] [CrossRef] [PubMed]
  42. Sedighi, M.; Razavi, S.; Navab-Moghadam, F.; Khamseh, M.E.; Alaei-Shahmiri, F.; Mehrtash, A.; Amirmozafari, N. Comparison of gut microbiota in adult patients with type 2 diabetes and healthy individuals. Microb. Pathog. 2017, 111, 362–369. [Google Scholar] [CrossRef] [PubMed]
  43. Moroti, C.; Souza Magri, L.F.; de Rezende Costa, M.; Cavallini, D.C.; Sivieri, K. Effect of the consumption of a new symbiotic shake on glycemia and cholesterol levels in elderly people with type 2 diabetes mellitus. Lipids Health Dis. 2012, 11, 29. [Google Scholar] [CrossRef] [PubMed]
  44. Qian, X.; Si, Q.; Lin, G.; Zhu, M.; Lu, J.; Zhang, H.; Chen, W. Bifidobacterium adolescentis Is Effective in Relieving Type 2 Diabetes and May Be Related to Its Dominant Core Genome and Gut Microbiota Modulation Capacity. Nutrients 2022, 14, 2479. [Google Scholar] [CrossRef] [PubMed]
  45. Chen, J.; Wang, R.; Li, X.F.; Wang, R.L. Bifidobacterium adolescentis supplementation ameliorates visceral fat accumulation and insulin sensitivity in an experimental model of the metabolic syndrome. Br. J. Nutr. 2012, 107, 1429–1434. [Google Scholar] [CrossRef]
  46. Ku, S.; Park, M.S.; Ji, G.E.; You, H.J. Review on Bifidobacterium bifidum BGN4: Functionality and Nutraceutical Applications as a Probiotic Microorganism. Int. J. Mol. Sci. 2016, 17, 1544. [Google Scholar] [CrossRef]
  47. Tannock, G.W.; Lawley, B.; Munro, K.; Gowri Pathmanathan, S.; Zhou, S.J.; Makrides, M.; Hodgkinson, A.J. Comparison of the compositions of the stool microbiotas of infants fed goat milk formula, cow milk-based formula, or breast milk. Appl. Environ. Microbiol. 2013, 79, 3040–3048. [Google Scholar] [CrossRef]
  48. Turroni, F.; Duranti, S.; Milani, C.; Lugli, G.A.; van Sinderen, D.; Ventura, M. Bifidobacterium bifidum: A Key Member of the Early Human Gut Microbiota. Microorganisms 2019, 7, 544. [Google Scholar] [CrossRef]
  49. Turroni, F.; Bottacini, F.; Foroni, E.; Mulder, I.; Kim, J.H.; Zomer, A.; Ventura, M. Genome analysis of Bifidobacterium bifidum PRL2010 reveals metabolic pathways for host-derived glycan foraging. Proc. Natl. Acad. Sci. USA 2010, 107, 19514–19519. [Google Scholar] [CrossRef]
  50. Sharma, P.; Bhardwaj, P.; Singh, R. Administration of Lactobacillus casei and Bifidobacterium bifidum Ameliorated Hyperglycemia, Dyslipidemia, and Oxidative Stress in Diabetic Rats. Int. J. Prev. Med. 2016, 7, 102. [Google Scholar]
  51. Raygan, F.; Rezavandi, Z.; Bahmani, F.; Ostadmohammadi, V.; Mansournia, M.A.; Tajabadi-Ebrahimi, M.; Asemi, Z. The effects of probiotic supplementation on metabolic status in type 2 diabetic patients with coronary heart disease. Diabetol. Metab. Syndr. 2018, 10, 51. [Google Scholar] [CrossRef]
  52. Le, T.K.; Hosaka, T.; Le, T.T.; Nguyen, T.G.; Tran, Q.B.; Le, T.H.; Pham, X.D. Oral administration of Bifidobacterium spp. improves insulin resistance, induces adiponectin, and prevents inflammatory adipokine expressions. Biomed. Res. 2014, 35, 303–310. [Google Scholar] [CrossRef]
  53. Capurso, L. Thirty Years of Lactobacillus rhamnosus GG: A Review. J. Clin. Gastroenterol. 2019, 53 (Suppl. 1), S1–S41. [Google Scholar] [CrossRef]
  54. Park, K.Y.; Kim, B.; Hyun, C.K. Lactobacillus rhamnosus GG improves glucose tolerance through alleviating ER stress and suppressing macrophage activation in db/db mice. J. Clin. Biochem. Nutr. 2015, 56, 240–246. [Google Scholar] [CrossRef]
  55. Han, M.; Liao, W.; Dong, Y.; Bai, C.; Gai, Z. Lacticaseibacillus rhamnosus Hao9 exerts antidiabetic effects by regulating gut microbiome, glucagon metabolism, and insulin levels in type 2 diabetic mice. Front. Nutr. 2022, 9, 1081778. [Google Scholar] [CrossRef]
  56. Farida, E.; Nuraida, L.; Giriwono, P.E.; Jenie, B.S.L. Lactobacillus rhamnosus Reduces Blood Glucose Level through Downregulation of Gluconeogenesis Gene Expression in Streptozotocin-Induced Diabetic Rats. Int. J. Food Sci. 2020, 2020, 6108575. [Google Scholar] [CrossRef]
  57. Yan, F.; Li, N.; Yue, Y.; Wang, C.; Zhao, L.; Evivie, S.E.; Huo, G. Screening for Potential Novel Probiotics with Dipeptidyl Peptidase IV-Inhibiting Activity for Type 2 Diabetes Attenuation in vitro and in vivo. Front. Microbiol. 2019, 10, 2855. [Google Scholar] [CrossRef]
  58. Bootorabi, F.; Saadat, F.; Falak, R.; Manouchehri, H.; Changizi, R.; Mohammadi, H.; Khorramizadeh, M.R. Gut micobiota alteration by Lactobacillus rhamnosus reduces proinflammatory cytokines and glucose level in the adult model of Zebrafish. BMC Res. Notes 2021, 14, 302. [Google Scholar] [CrossRef]
  59. Yadav, R.; Dey, D.K.; Vij, R.; Meena, S.; Kapila, R.; Kapila, S. Evaluation of antidiabetic attributes of Lactobacillus rhamnosus MTCC: 5957, Lactobacillus rhamnosus MTCC: 5897 and Lactobacillus fermentum MTCC: 5898 in streptozotocin induced diabetic rats. Microb. Pathog. 2018, 125, 454–462. [Google Scholar] [CrossRef]
  60. Singh, S.; Sharma, R.K.; Malhotra, S.; Pothuraju, R.; Shandilya, U.K. Lactobacillus rhamnosus NCDC17 ameliorates type-2 diabetes by improving gut function, oxidative stress and inflammation in high-fat-diet fed and streptozotocintreated rats. Benef. Microbes 2017, 8, 243–255. [Google Scholar] [CrossRef]
  61. Rodriguez, J.; Hiel, S.; Delzenne, N.M. Metformin: Old friend, new ways of action-implication of the gut microbiome? Curr. Opin. Clin. Nutr. Metab. Care 2018, 21, 294–301. [Google Scholar] [CrossRef] [PubMed]
  62. Rojas, L.B.; Gomes, M.B. Metformin: An old but still the best treatment for type 2 diabetes. Diabetol. Metab. Syndr. 2013, 5, 6. [Google Scholar] [CrossRef] [PubMed]
  63. McCreight, L.J.; Bailey, C.J.; Pearson, E.R. Metformin and the gastrointestinal tract. Diabetologia 2016, 59, 426–435. [Google Scholar] [CrossRef] [PubMed]
  64. Ermolenko, E.; Simanenkova, A.; Voropaeva, L.; Lavrenova, N.; Kotyleva, M.; Minasian, S.; Karonova, T. Metformin Influence on the Intestinal Microbiota and Organism of Rats with Metabolic Syndrome. Int. J. Mol. Sci. 2022, 23, 6837. [Google Scholar] [CrossRef]
  65. Wu, H.; Esteve, E.; Tremaroli, V.; Khan, M.T.; Caesar, R.; Manneras-Holm, L.; Backhed, F. Metformin alters the gut microbiome of individuals with treatment-naive type 2 diabetes, contributing to the therapeutic effects of the drug. Nat. Med. 2017, 23, 850–858. [Google Scholar] [CrossRef]
  66. Whang, A.; Nagpal, R.; Yadav, H. Bi-directional drug-microbiome interactions of antidiabetics. Ebiomedicine 2019, 39, 591–602. [Google Scholar] [CrossRef]
  67. Makizaki, Y.; Maeda, A.; Yamamoto, M.; Tamura, S.; Tanaka, Y.; Nakajima, S.; Ohno, H. Bifidobacterium bifidum G9-1 ameliorates soft feces induced by metformin without affecting its antihyperglycemic action. Biosci. Microbiot. Food Health 2020, 39, 145–151. [Google Scholar] [CrossRef]
  68. Hata, S.; Nakajima, H.; Hashimoto, Y.; Miyoshi, T.; Hosomi, Y.; Okamura, T.; Fukui, M. Effects of probiotic Bifidobacterium bifidum G9-1 on the gastrointestinal symptoms of patients with type 2 diabetes mellitus treated with metformin: An open-label, single-arm, exploratory research trial. J. Diabetes Investig. 2022, 13, 489–500. [Google Scholar] [CrossRef]
  69. Al-Ishaq, R.K.; Abotaleb, M.; Kubatka, P.; Kajo, K.; Busselberg, D. Flavonoids and Their Antidiabetic Effects: Cellular Mechanisms and Effects to Improve Blood Sugar Levels. Biomolecules 2019, 9, 430. [Google Scholar] [CrossRef]
  70. Al-Ishaq, R.K.; Overy, A.J.; Busselberg, D. Phytochemicals and Gastrointestinal Cancer: Cellular Mechanisms and Effects to Change Cancer Progression. Biomolecules 2020, 10, 105. [Google Scholar] [CrossRef]
  71. Kubatka, P.; Mazurakova, A.; Samec, M.; Koklesova, L.; Zhai, K.; Al-Ishaq, R.; Busselberg, D.; Golubnitschaja, O. Flavonoids against non-physiologic inflammation attributed to cancer initiation, development, and progression-3PM pathways. EPMA J. 2021, 12, 559–587. [Google Scholar] [CrossRef]
  72. Al-Ishaq, R.K.; Liskova, A.; Kubatka, P.; Busselberg, D. Enzymatic Metabolism of Flavonoids by Gut Microbiota and Its Impact on Gastrointestinal Cancer. Cancers 2021, 13, 3934. [Google Scholar] [CrossRef]
  73. Al-Ishaq, R.K.; Koklesova, L.; Kubatka, P.; Busselberg, D. Immunomodulation by Gut Microbiome on Gastrointestinal Cancers: Focusing on Colorectal Cancer. Cancers 2022, 14, 2140. [Google Scholar] [CrossRef]
  74. Pan, L.; Ye, H.; Pi, X.; Liu, W.; Wang, Z.; Zhang, Y.; Zheng, J. Effects of several flavonoids on human gut microbiota and its metabolism by in vitro simulated fermentation. Front. Microbiol. 2023, 14, 1092729. [Google Scholar] [CrossRef]
  75. Kawabata, K.; Sugiyama, Y.; Sakano, T.; Ohigashi, H. Flavonols enhanced production of anti-inflammatory substance(s) by Bifidobacterium adolescentis: Prebiotic actions of galangin, quercetin, and fisetin. Biofactors 2013, 39, 422–429. [Google Scholar] [CrossRef]
  76. Parkar, S.G.; Stevenson, D.E.; Skinner, M.A. The potential influence of fruit polyphenols on colonic microflora and human gut health. Int. J. Food Microbiol. 2008, 124, 295–298. [Google Scholar] [CrossRef]
  77. Wang, L.; Gao, M.; Kang, G.; Huang, H. The Potential Role of Phytonutrients Flavonoids Influencing Gut Microbiota in the Prophylaxis and Treatment of Inflammatory Bowel Disease. Front. Nutr. 2021, 8, 798038. [Google Scholar] [CrossRef]
  78. Vindigni, S.M.; Surawicz, C.M. Fecal Microbiota Transplantation. Gastroenterol. Clin. N. Am. 2017, 46, 171–185. [Google Scholar] [CrossRef]
  79. Park, S.Y.; Seo, G.S. Fecal Microbiota Transplantation: Is It Safe? Clin. Endosc. 2021, 54, 157–160. [Google Scholar] [CrossRef]
  80. Wang, S.; Xu, M.; Wang, W.; Cao, X.; Piao, M.; Khan, S.; Wang, B. Systematic Review: Adverse Events of Fecal Microbiota Transplantation. PLoS ONE 2016, 11, e0161174. [Google Scholar] [CrossRef]
  81. de Groot, P.; Nikolic, T.; Pellegrini, S.; Sordi, V.; Imangaliyev, S.; Rampanelli, E.; Nieuwdorp, M. Faecal microbiota transplantation halts progression of human new-onset type 1 diabetes in a randomised controlled trial. Gut 2021, 70, 92–105. [Google Scholar] [CrossRef] [PubMed]
  82. Cai, T.T.; Ye, X.L.; Yong, H.J.; Song, B.; Zheng, X.L.; Cui, B.T.; Ding, D.F. Fecal microbiota transplantation relieve painful diabetic neuropathy: A case report. Medicine 2018, 97, e13543. [Google Scholar] [CrossRef] [PubMed]
  83. Xie, Y.C.; Jing, X.B.; Chen, X.; Chen, L.Z.; Zhang, S.H.; Cai, X.B. Fecal microbiota transplantation treatment for type 1 diabetes mellitus with malnutrition: A case report. Ther. Adv. Chronic Dis. 2022, 13, 7449. [Google Scholar] [CrossRef] [PubMed]
  84. Su, L.; Hong, Z.; Zhou, T.; Jian, Y.; Xu, M.; Zhang, X.; Wang, J. Health improvements of type 2 diabetic patients through diet and diet plus fecal microbiota transplantation. Sci. Rep. 2022, 12, 1152. [Google Scholar] [CrossRef] [PubMed]
  85. Wang, H.; Lu, Y.; Yan, Y.; Tian, S.; Zheng, D.; Leng, D.; Bai, Y. Promising Treatment for Type 2 Diabetes: Fecal Microbiota Transplantation Reverses Insulin Resistance and Impaired Islets. Front. Cell. Infect. Microbiol. 2019, 9, 455. [Google Scholar] [CrossRef]
Figure 1. Overview illustration of bacterial species that modulate diabetes. The figure shows the main morphological and biochemical features of each species. Created with
Figure 1. Overview illustration of bacterial species that modulate diabetes. The figure shows the main morphological and biochemical features of each species. Created with
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Figure 2. Overview illustration of Bifidobacterium adolescentis on diabetes. The figure shows the three main pathways: inflammation, insulin response, and the production of short-chain fatty acids by microorganisms. Created with
Figure 2. Overview illustration of Bifidobacterium adolescentis on diabetes. The figure shows the three main pathways: inflammation, insulin response, and the production of short-chain fatty acids by microorganisms. Created with
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Figure 3. Overview illustration of Bifidobacterium bifidum on diabetes. The figure shows the three main pathways: inflammation, insulin response, and lipid profile. Created with
Figure 3. Overview illustration of Bifidobacterium bifidum on diabetes. The figure shows the three main pathways: inflammation, insulin response, and lipid profile. Created with
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Figure 4. Overview illustration of Lactobacillus rhamnosus on diabetes. The figure shows the three main pathways: inflammation, insulin response, and lipid profile. Created with
Figure 4. Overview illustration of Lactobacillus rhamnosus on diabetes. The figure shows the three main pathways: inflammation, insulin response, and lipid profile. Created with
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Figure 5. Overview illustration of metformin effect on the three gut microbial species discussed and the influence of combination therapy on diabetes outcome. Created with
Figure 5. Overview illustration of metformin effect on the three gut microbial species discussed and the influence of combination therapy on diabetes outcome. Created with
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Table 1. Representative bacterial species and their underlaying antidiabetic effects.
Table 1. Representative bacterial species and their underlaying antidiabetic effects.
Bacterial Species Targeted Metabolites/Proteins/Genes/PathwayMode of AdministrationNumber of Strain Tested/ConcentrationDietary Intervention Follow-Up PeriodMechanism of ActionMethods of Testing Model UsedReferences
In VivoIn Vitro
Bifidobacterium adolescentisGlucose
Lipid metabolism
Inflammatory markers
Oral gavage
8High-fat diet 12 weeks -Alleviate insulin resistance
-Restore gut microbiota homeostasis
-Increase the abundance of SCFA-producing flora
-Alleviate inflammation by reducing the concentration of TNF-a, IL-6, and IFN-Y
Biochemical analysis
Histopathological analysis
SCFA analysis
Polymerase chain reaction
-C57BL/6J mice-Pancreatic cells
-Hepatic cells
Visceral fat accumulation
Insulin sensitivity
Orally5 × 108 colony-forming units/mL of live B. adolescentisHigh-fat diet12 weeks -Supplementation of this bacteria improved diabetes and insulin sensitivity by increasing the production of glucagon-like peptide 1 (GLP-1)
-A reduced visceral fat accumulation (liver steatosis and mesenteric fat)
Insulin sensitivity
Quantitative reverse transcription PCR
Histological analysis
-Male Wistar rats-Hepatic cells [45]
Lipid metabolism
Inflammatory markers
Orally 1 × 107 colony-forming units/mLNA28 days -Administration of B. bifidum significantly reduced serum fasting blood glucose
-It reduced the level of total cholesterol, triglycerides, low-density lipoproteins, and very low-density lipoproteins and enhanced the level of high-density lipoproteins
-Reduced the activity of lipid peroxidation
-Enhanced the activity of glutathione, superoxide dismutase, catalase, glutathione peroxidase, glutathione reductase, and glutathione-S-transferase
Glucose tolerance test
Oxidative stress enzymatic assay
-Male Wistar rats-Pancreatic cells
-Hepatic cells
Lipid metabolism
Inflammatory markers
Oral gavage1 × 109 colony-forming units/mLHigh-fat diet5 weeks -Administration of B. bifidum significantly reduced plasma glucose level
-Treatment with B. bifidum increased the adiponectin mRNA level and decreased MCP-1 and IL-6 mRNA levels
Quantitative real-time PCR
RNA extraction
Glucose tolerance test
Insulin tolerance test
-Swiss-Webster mice
-C57BL/6J mice
-Adipose tissue [52]
Lactobacillus rhamnosusGlucose
Lipid metabolism
Orally1 × 109 colony-forming units/mLStandard diet30 days -Administration of L. rhamnosus significantly reduced serum fasting blood glucose
-Improved glucose tolerance via downregulation of glucose-6-phosphatase (G6p) expression
-Significantly reduced the level of total cholesterol
-Lowered the risk of atherosclerosis by lowering the atherogenic
index (AI)
Biochemical parameter analysis
Glucose tolerance test
Quantitative real-time PCR
Gene expression analysis
-Sprague-Dawley rats-Hepatic cells[56]
Inflammatory markers
NA106 colony-forming units/mLFish commercial food10 days -Reduced blood glucose level
-Supplementation with L. rhamnosus resulted in a significant decrease in the expression levels of proinflammatory cytokines
-Improved the villus length and width of the intestine
Histological staining
Quantitative real-time PCR
-Zebrafish-Intestinal cells [58]
Glucose Intraperitoneally 1 × 109 colony-forming units/mL High-fat diet12 weeks-Administration of L. rhamnosus significantly reduced serum fasting blood glucose
-Significantly improved glucose intolerance
-Significantly reduced the level of HbA1c and GLP-1
Glucose tolerance test
Quantitative real-time PCR
Lipid peroxidation inhibiting capacity
Biochemical parameters
-Male C57BL/6J mice [57]
Inflammatory markers
1 × 108 colony-forming units/mLChow diet 4 weeks -Treatment with L. rhamnosus significantly improved glucose tolerance
-It alleviated endoplasmic reticulum stress by modulating lipid metabolism in skeletal muscle
-It alleviated macrophage markers expression F4/80 and CD11b
Glucose tolerance test
Real-time PCR
Western blot
db/db (db/db) mice
-Adipose tissue
-Skeletal muscle
Glucose Intraperitoneally5 × 109 colony-forming units/mLHigh-fat diet 12 weeks -Treatment with L. rhamnosus significantly reduced fasting blood glucose and insulin levels
-It significantly decreased glucose-6-phosphatase and phosphoenolpyruvate carboxykinase expression in the livers
-It reduced the serum concentrations of proinflammatory cytokines such as tumor necrosis factor alpha (TNFa), interleukin-1b (IL1b), and IL6
-Improved intestinal barrier function in diabetic mice
Glucose tolerance test
Histopathological examination
Biochemical analysis
RNA isolation and RT-PCR analysis
Colonic tight junction protein expression analysis
-Male C57BL/6J mice -Hepatic tissues
-Colon tissues
Inflammatory markers
Oral gavage
NAProbiotic fermented milk (PFM)6 weeks -PFM significantly improved glucose metabolism (fasting blood glucose, glycated hemoglobin, serum insulin)
-It also improved the serum inflammation status (tumor necrosis factor-α, and serum interleukin-6)
-PFM has significantly reduced the mRNA expression of pepck and g6pase genes that code the key enzymes of gluconeogenesis pathway
Glucose tolerance test
Histopathological examination
Biochemical analysis
-Male Wistar rats [59]
Inflammatory markers
Oral gavage
NAHigh-fat diet 6 weeks -Treatment with L. rhamnosus improved oral glucose tolerance test
-It improved the biochemical parameters such as fasting blood glucose, plasma insulin, glycosylated hemoglobin, free fatty acids, triglycerides, total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
-It also improved the expression of glucagon-like peptide-1-producing genes in the cecum
-It reduced the expression of tumor necrosis factor-α and interleukin-6
Glucose tolerance test
Biochemical analysis
-Rats [60]
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AL-Ishaq, R.K.; Samuel, S.M.; Büsselberg, D. The Influence of Gut Microbial Species on Diabetes Mellitus. Int. J. Mol. Sci. 2023, 24, 8118.

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AL-Ishaq RK, Samuel SM, Büsselberg D. The Influence of Gut Microbial Species on Diabetes Mellitus. International Journal of Molecular Sciences. 2023; 24(9):8118.

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AL-Ishaq, Raghad Khalid, Samson Mathews Samuel, and Dietrich Büsselberg. 2023. "The Influence of Gut Microbial Species on Diabetes Mellitus" International Journal of Molecular Sciences 24, no. 9: 8118.

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