Submitted Successfully!
To reward your contribution, here is a gift for you: A free trial for our video production service.
Thank you for your contribution! You can also upload a video entry or images related to this topic.
Version Summary Created by Modification Content Size Created at Operation
1
Federica Del Chierico
 -- 2258 2022-12-05 17:26:26 |
2 update references and layout
Rita Xu
 -3 word(s) 2255 2022-12-07 03:03:05 |

Video Upload Options

Do you have a full video?
Send video materials Upload full video

Confirm

Are you sure to Delete?
Yes No
Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Chierico, F.D.;  Rapini, N.;  Deodati, A.;  Matteoli, M.C.;  Cianfarani, S.;  Putignani, L. Type 1 Diabetes and Gut Microbiota. Encyclopedia. Available online: https://encyclopedia.pub/entry/38128 (accessed on 27 July 2024).
Chierico FD,  Rapini N,  Deodati A,  Matteoli MC,  Cianfarani S,  Putignani L. Type 1 Diabetes and Gut Microbiota. Encyclopedia. Available at: https://encyclopedia.pub/entry/38128. Accessed July 27, 2024.
Chierico, Federica Del, Novella Rapini, Annalisa Deodati, Maria Cristina Matteoli, Stefano Cianfarani, Lorenza Putignani. "Type 1 Diabetes and Gut Microbiota" Encyclopedia, https://encyclopedia.pub/entry/38128 (accessed July 27, 2024).
Chierico, F.D.,  Rapini, N.,  Deodati, A.,  Matteoli, M.C.,  Cianfarani, S., & Putignani, L. (2022, December 06). Type 1 Diabetes and Gut Microbiota. In Encyclopedia. https://encyclopedia.pub/entry/38128
Chierico, Federica Del, et al. "Type 1 Diabetes and Gut Microbiota." Encyclopedia. Web. 06 December, 2022.
Type 1 Diabetes and Gut Microbiota
Edit
This entry is adapted from the peer-reviewed paper 10.3390/ijms232314650

Type 1 diabetes (T1D) is a multifactorial autoimmune disease driven by T-cells against the insulin-producing islet β-cells, resulting in a marked loss of β-cell mass and function. A dysbiotic gut microbial profile has been associated with T1D patients. Moreover, new evidence propose that perturbation in gut microbiota may influence the T1D onset and progression. One of the prominent features in clinically silent phase before the onset of T1D is the presence of a microbiota characterized by low numbers of commensals butyrate producers, thus negatively influencing the gut permeability. The loss of gut permeability leads to the translocation of microbes and microbial metabolites and could lead to the activation of immune cells. Moreover, microbiota-based therapies to slow down disease progression or reverse T1D have shown promising results.

type 1 diabetes (T1D) insulin resistance gut microbiome dysbiosis

1. Introduction

Type 1 diabetes (T1D) is a multifactorial autoimmune disease characterized by T-cell-mediated destruction of insulin-producing β-cells of the pancreas. T1D is the most commonly diagnosed diabetes in children and adolescents (under 20 years of age) and causes ≥85% of all diabetes cases in these age groups worldwide [1]. Across the globe, it is evaluated that 1,110,100 people aged 0–19 years have T1D, with 128,900 newly diagnosed cases each year [2].
The condition is characterized by the body’s complete inability to produce insulin, an essential anabolic hormone that helps the body’s cells use glucose for energy. Importantly, insulin facilitates entry of glucose to muscle and adipose cells, induces the store of glucose as glycogen in liver and the synthesis of fatty acids, stimulates the uptake of amino acids, impedes the breakdown of fat in adipose tissue, and promotes the uptake of potassium into cells [3]. T1D is clinically characterized by the primary appearance of islet autoantibodies (AAbs). The AAbs are islet cell cytoplasmic antibodies (ICA), antibodies to insulin (IAA), to glutamic acid decarboxylase (GAD), insulinoma-associated 2 antibodies, or protein tyrosine phosphatase antibodies (IA-2) and zinc transporter8 antibodies (ZnT8) [4]. The natural history of T1D presents a “pre-stage 1” in which individuals carrying T1D susceptibility alleles have not yet developed islet AAbs. The development of two or more islet antibodies defines the “stage 1”, which can progress to “stage 2”, when dysglycemia appears, and then progresses to symptomatic diabetes (stage 3) [5]. The decline in β-cell number starts years before the symptoms of hyperglycaemia become evident. Moreover, a direct correlation exists between the number of detectable antibodies and their higher titers to the increased risk of developing T1D [3].
Recently, the development of T1D can be attributed to the intervention by genetic, epigenetic, and environmental factors. One such key identified environmental factor is gastrointestinal microbiota which comprises 100 trillion cells in the human gut, 10 times the number of human cells [6]. Since the gut microbiota plays a fundamental role in the revelation of framework and function of the host immune system, any changes in diet, overuse of antibiotics, or gastrointestinal tract infections can lead to substantial shifts in the composition of the individual microbiome over extensive periods. These shifts, which result in the disruption of the normal gut microbiota called the dysbiosis, lead to conditions such as autoimmune and inflammatory disorders [7][8]. Recent studies using high-end sequencing technologies have shown a significant difference in the intestinal microbial profile between T1D patients and healthy controls, suggesting correlation between T1D development and gut microbiota profile [9]. Moreover, new evidence proposes that perturbation in gut microbiota may be involved in the pathophysiology of T1D, and gut dysbiosis resulting in immunological deregulation and gut leakiness as the plausible pathogenic mechanisms in the onset of T1D [10]. Despite the latest findings, the explicit role of microbiota that mediates T1D is under investigation.

2. T1D Risk Factors

From a genetic standpoint, more than 50 gene loci have been implicated in T1D risk, most of which act on the immune system. By far, the strongest risk has been attributed to genes encoding human leukocyte antigen (HLA) genes [11]. Almost 90% of the patients were tested to carry the high-risk haplotypes DR4-DQ8 (DR4-DQA1*03:01-DQB1*03:02) or DR3-DRQ2 (DRB1*03:01-DQA1*05:01-DQB1*02:01) [12][13]. Several other immune-related genes have also been described in the pathogenesis of T1D [14][15]. Large-scale genome-wide association studies have identified multiple single nucleotide polymorphisms linked to T1D, many of them belonging to pathways involved in inflammation, immunity, and apoptosis [16]. Notably, there is often an overlap among T1D and other autoimmune and inflammatory traits loci. Some of these genes include CTLA 4, a down-regulator of the CD8+ T-cell response; KIR genes, a family of cell-surface receptors found on natural killer cells that regulate their function; interleukin (IL) genes such as IL-4 and IL-13, which are immunomodulatory cytokines; IL2RA, interleukin-2 receptor subunit alpha, which is involved in Treg function [13][17].
Surprisingly, 90% of T1D cases have no first-degree relatives, and the pairwise concordance rate from homozygotic twins is described to be only 27% [18]. Furthermore, only 10–15% of the individuals with genetic risk ultimately develop T1D. This clearly indicates that the role of environmental triggers in the pathophysiology of T1D is much more significant than the one imputable to genetics. Moreover, the fact that T1D incidence has increased by several folds in the last 30 years, and the tendency of migrants to acquire the same risk of T1D as the population in their new area of residence, reinforces the hypothesis of the impact of environmental factors [19][20][21].
Numerous research findings describe a positive role of diet, lifestyle, gut microbiota, infections, and psychological stress in driving auto-immunity or β-cell dysfunction towards T1D development [21][22]. Among these, diet during early infancy could be an important factor. Breastfeeding is said to have a protective role, whereas the introduction of cow’s milk or cereals/gluten in early infancy could have an adverse role by inducing interferon (INF)-γ secretion and β-cell stress [22]. However, there are no conclusive human studies to prove this. Moreover, a protective role has been attributed to Vitamin D. As a modulator of inflammation, Vitamin D has a protective effect on IL-1-Th1-mediated damage of β-cells by inhibition of macrophage activation, abolition of CD4+ expression, inhibition of IL-2 and IFN γ, and reduction of the expression of major histocompatibility complex class II molecules [23]. Similarly, intake of omega-3 fatty is said to have a protective role in T1D inflammation [21].
In addition to these, certain viral infections, mainly enteroviruses (EVs), which enter through the intestine, have shown a strong positive correlation to T1D development [22]. One type of EV, the Coxsackievirus B, is known to replicate in islet β-cells and increase endoplasmic reticulum stress by disrupting the unfolded protein response pathway [24]. Finally, the gut microbiome composition has been observed to be different in healthy versus TID cases in both human and animal models.

3. Role of Gut Microbiota in T1D Pathophysiology

A complex correlation between intestinal microbiota, immune system, and gut permeability has already been identified, although not completely unraveled [25]. The gut permeability is modulated by the gut barrier which comprises gut microbiota, mucus, enterocytes, tight junction (TJ) proteins, and the innate and adaptive immune cells forming the gut-associated lymphoid tissue [26]. The disassembly of TJ and the disruption of the integrity of the intestinal barrier can lead the intestinal permeability and the passage of microbial antigens and products or the microorganisms themselves. The TJ of the gut barrier is regulated by the expression of TJ proteins comprising claudin-2, occludin, cingulin, and zonula occludens (ZO) proteins. Some studies have demonstrated that the intestinal permeability depends on the increased levels of zonulin, whose production is influenced by bacterial colonization [27][28]. It is also understood that zonulin reversibly regulates intestinal permeability by modulating TJ [29][30][31]. Interestingly, before the onset of clinically evident T1D, high serum zonulin levels are present [32]. Moreover, in T1D patients, an increase of gut paracellular permeability has been detected [32][33][34][35][36] (Figure 1).
Ijms 23 14650 g001
Figure 1. Increasing gut paracellular permeability in T1D patients. The alteration of tight junction (TJ) proteins leads to the increase of intestinal permeability, providing access to the lamina propria environment for foreign agents (e.g., bacteria and bacterial and diet products). The accumulation of these bacteria and molecules can trigger inflammation pathways, causing intestinal inflammation. The activated and expanded T-cells in the gut-associated lymphoid tissue (GALT) could travel via mesenteric and pancreatic lymph nodes to the pancreas and induce T1D. Created with BioRender.com.
Interestingly, the increase of small intestinal permeability has also found in subjects at risk of developing T1D, confirming the hypothesis that alterations in intestinal mucosa barrier might be correlated to an autoimmune process that promotes disease onset [34][37]. Moreover, children with multiple islet autoantibodies (≥2 IA) who progressed to T1D presented a higher intestinal permeability compared those who did not progress, suggesting an involvement of intestinal permeability in the pathogenesis of T1D [38].
Many gut commensals play a role in modulating the permeability of the intestinal barrier [39]. A hypothesis is based on the evidence that some gut bacteria express GAD and produce gamma-aminobutyric acid. The GAD released from bacteria as a consequence of gut bacterial destruction (e.g., through viral- or antibiotic-mediated mechanisms) may act as an antigen to activate submucosal T-cells, causing miseducation of the host immune system and leading to the development of T1D [40][41].
Bioinformatics data confirmed that some of the microbes can carry peptide sequences similar to insulin, potentially triggering auto-immunity [42]. Interestingly, T-cell clones against preproinsulin peptides have shown high cross-reactivity to the peptides of Bacteroides and Clostridium species [43]. In a NOD mouse model, a peptide produced by Parabacteroides distasonis with homology to β-chain of insulin has been identified [44]. This peptide can be recognized by T-cells, cross-stimulating an immune response to this chain of insulin [44].
Lastly, by the gnotobiotic zebrafish model, it has been also demonstrated that the normal expansion of the pancreatic β-cell population during early larval development requires the intestinal microbiota by the activity of a bacterial protein termed β-cell expansion factor A (BefA), produced by gut microbes [45]. These findings shed light on a possible a role of the gut microbiota in early pancreatic β-cell development and suggest a link between fecal microbiota composition in childhood and an increase in diabetes risk.

4. Gut Microbiota Dysbiosis in T1D

The gut microbiota dysbiosis in T1D patients has already been described [46][47]. The “TEDDY study” showed the higher abundance of Bifidobacterium spp. and the lower abundance of Streptococcus thermophilus and Lactococcus lactis in children before the seroconversion or the onset of T1D with respect to healthy subjects [48].
The increase of Bacteroides abundance in T1D patients and subjects a risk to develop T1D compared to aged-matched healthy controls has been reported in different studies [46][49][50].
The alteration in microbiota composition seems to be present only in T1D progressors and not in children at risk who did not develop the disease. This evidence came from a Finnish study in which a reduction in microbiota richness was detected in children who develop T1D prior to diagnosis but after seroconversion [51]. Moreover, the seroconversion has been positively correlated with the increase of lipopolysaccharides biosynthesis in Bacteroides genome and sulfate reduction in Anaerostipes genome [52].
The enhanced activity of Bacteroides and a down-regulation of functions associated with Bifidobacterium in T1D patients were confirmed by a metaproteomic study on pediatric patients at T1D onset. The reduced activity of Bifidobacterium was highlighted in patients with low insulin need, suggesting the presence of a transient condition of the gut microbiota composition and functions related to a very early stage of the disease (Levi Mortera Stefano at al., “Functional and taxonomic traits of the gut microbiota in type 1 diabetes children at the onset: a metaproteomic study”. Submitted to International Journal of Molecular Sciences Manuscript ID: ijms-2032220, 30 October 2022).
In an Italian cohort of T1D patients, a high abundance of Bifidobacterium stercoris, Bacteroides intestinalis, Bacteroides cellulosilyticus, and Bacteroides fragilis was found [53]. An abundance of Bacteroides dorei and Bacteroides vulgatus was described in a cohort of Finnish children at high risk to develop T1D [54].
A study based on the integration of metagenomic and metabolomics approaches on T1D patients at onset, their siblings, and healthy subjects, revealed the increase in Clostridiales and Dorea and the decrease in Dialister and Akkermansia in T1D patients and their siblings, showing a specific profile of gut microbiota linked to familiar environment. Moreover, T1D patients were characterized by higher levels of isobutyrate, malonate, Clostridium, Enterobacteriaceae, Clostridiales, and Bacteroidales. Patients with higher anti-GAD levels showed low abundances of Roseburia, Faecalibacterium, and Alistipes, and those with normal blood pH and low serum HbA1c levels showed high levels of purine and pyrimidine intermediates. These results shed light on specific gut microbial and metabolic profiles predictive of T1D progression and severity [55].
Moreover, changes in the gut microbiota composition of T1D patients have been associated with glycemic control and disease-related complications, suggesting that the gut microbiota may also be involved in the development of diabetes-associated complications [56].
Moreover, in autoantibody-positive children, an increased abundance of Bacteroides and a low abundance of butyrate-producing species were found [47]. A negative correlation between butyrate-producers, the intestinal permeability, and the risk of developing T1D has also been reported [47][57][58][59]. However, even in the late phase of prediabetes, a low numbers of butyrate producers were found, suggesting the role of microbiota as a regulator of β-cell autoimmunity in the progression of the disease [10][47]. 

5. Conclusion

Although T1D was earlier regarded to have genetic roots, compelling evidences state a strong role of Gut microbiota in disease onset and progression. Thus, the correction of dysbiosis by microbial-based therapies could help in promoting immune tolerance at onset, and improve gut permeability decreasing inflammation during the disease progression.

References

  1. Maahs, D.M.; West, N.A.; Lawrence, J.M.; Mayer-Davis, E.J. Epidemiology of Type 1 Diabetes. Endocrinol. Metab. Clin. N. Am. 2010, 39, 481–497.
  2. Karuranga, S.; Malanda, B.; Saeedi, P.; Salpea, P. (Eds.) IDF Diabetes Atlas, 9th Edition Committee IDF DIABETES ATLAS Ninth Edition 2019; IDF: Brussels, Belgium, 2019; ISBN 978-2-930229-87-4.
  3. Lucier, J.; Weinstock, R.S. Diabetes Mellitus Type 1. In StatPearls; StatPearls Publishing: Treasure Island, FL, USA, 2022.
  4. Taplin, C.E.; Barker, J.M. Autoantibodies in Type 1 Diabetes. Autoimmunity 2008, 41, 11–18.
  5. Insel, R.A.; Dunne, J.L.; Atkinson, M.A.; Chiang, J.L.; Dabelea, D.; Gottlieb, P.A.; Greenbaum, C.J.; Herold, K.C.; Krischer, J.P.; Lernmark, Å.; et al. Staging Presymptomatic Type 1 Diabetes: A Scientific Statement of JDRF, the Endocrine Society, and the American Diabetes Association. Diabetes Care 2015, 38, 1964–1974.
  6. MetaHIT Consortium; Qin, J.; Li, R.; Raes, J.; Arumugam, M.; Burgdorf, K.S.; Manichanh, C.; Nielsen, T.; Pons, N.; Levenez, F.; et al. A Human Gut Microbial Gene Catalogue Established by Metagenomic Sequencing. Nature 2010, 464, 59–65.
  7. Petersen, C.; Round, J.L. Defining Dysbiosis and Its Influence on Host Immunity and Disease. Cell Microbiol. 2014, 16, 1024–1033.
  8. Harsch, I.; Konturek, P. The Role of Gut Microbiota in Obesity and Type 2 and Type 1 Diabetes Mellitus: New Insights into “Old” Diseases. Med. Sci. 2018, 6, 32.
  9. Gavin, P.G.; Hamilton-Williams, E.E. The Gut Microbiota in Type 1 Diabetes: Friend or Foe? Curr. Opin. Endocrinol. Diabetes Obes. 2019, 26, 207–212.
  10. Zhou, H.; Sun, L.; Zhang, S.; Zhao, X.; Gang, X.; Wang, G. Evaluating the Causal Role of Gut Microbiota in Type 1 Diabetes and Its Possible Pathogenic Mechanisms. Front. Endocrinol. 2020, 11, 125.
  11. Atkinson, M.A. The Pathogenesis and Natural History of Type 1 Diabetes. Cold Spring Harb. Perspect. Med. 2012, 2, a007641.
  12. Lee, H.S.; Hwang, J.S. Genetic Aspects of Type 1 Diabetes. Ann. Pediatr. Endocrinol. Metab. 2019, 24, 143–148.
  13. Redondo, M.J.; Steck, A.K.; Pugliese, A. Genetics of Type 1 Diabetes. Pediatr. Diabetes 2018, 19, 346–353.
  14. Pociot, F. Type 1 Diabetes Genome-Wide Association Studies: Not to Be Lost in Translation. Clin. Trans. Immunol. 2017, 6, e162.
  15. Klak, M.; Gomółka, M.; Kowalska, P.; Cichoń, J.; Ambrożkiewicz, F.; Serwańska-Świętek, M.; Berman, A.; Wszoła, M. Type 1 Diabetes: Genes Associated with Disease Development. Cejoi 2020, 45, 439–453.
  16. Nyaga, D.M.; Vickers, M.H.; Jefferies, C.; Perry, J.K.; O’Sullivan, J.M. Type 1 Diabetes Mellitus-Associated Genetic Variants Contribute to Overlapping Immune Regulatory Networks. Front. Genet. 2018, 9, 535.
  17. Noble, J.A. Immunogenetics of Type 1 Diabetes: A Comprehensive Review. J. Autoimmun. 2015, 64, 101–112.
  18. Buschard, K. What Causes Type 1 Diabetes? Lessons from Animal Models. APMIS 2011, 119, 1–19.
  19. Oilinki, T.; Otonkoski, T.; Ilonen, J.; Knip, M.; Miettinen, P. Prevalence and Characteristics of Diabetes among Somali Children and Adolescents Living in Helsinki, Finland. Pediatr. Diabetes 2012, 13, 176–180.
  20. Söderström, U.; Åman, J.; Hjern, A. Being Born in Sweden Increases the Risk for Type 1 Diabetes–a Study of Migration of Children to Sweden as a Natural Experiment. Acta Paediatr. 2012, 101, 73–77.
  21. Rewers, M.; Ludvigsson, J. Environmental Risk Factors for Type 1 Diabetes. Lancet 2016, 387, 2340–2348.
  22. Esposito, S.; Toni, G.; Tascini, G.; Santi, E.; Berioli, M.G.; Principi, N. Environmental Factors Associated with Type 1 Diabetes. Front. Endocrinol. 2019, 10, 592.
  23. Infante, M.; Ricordi, C.; Sanchez, J.; Clare-Salzler, M.J.; Padilla, N.; Fuenmayor, V.; Chavez, C.; Alvarez, A.; Baidal, D.; Alejandro, R.; et al. Influence of Vitamin D on Islet Autoimmunity and Beta-Cell Function in Type 1 Diabetes. Nutrients 2019, 11, 2185.
  24. Mallone, R.; Eizirik, D.L. Presumption of Innocence for Beta Cells: Why Are They Vulnerable Autoimmune Targets in Type 1 Diabetes? Diabetologia 2020, 63, 1999–2006.
  25. Vaarala, O.; Atkinson, M.A.; Neu, J. The “Perfect Storm” for Type 1 Diabetes: The Complex Interplay between Intestinal Microbiota, Gut Permeability, and Mucosal Immunity. Diabetes 2008, 57, 2555–2562.
  26. Bibbò, S.; Dore, M.P.; Pes, G.M.; Delitala, G.; Delitala, A.P. Is There a Role for Gut Microbiota in Type 1 Diabetes Pathogenesis? Ann. Med. 2017, 49, 11–22.
  27. Wang, W.; Uzzau, S.; Goldblum, S.E.; Fasano, A. Human Zonulin, a Potential Modulator of Intestinal Tight Junctions. J. Cell Sci. 2000, 113 Pt 24, 4435–4440.
  28. Asmar, R.; Gosse, P.; Topouchian, J.; N’tela, G.; Dudley, A.; Shepherd, G.L. Effects of Telmisartan on Arterial Stiffness in Type 2 Diabetes Patients with Essential Hypertension. J. Renin. Angiotensin. Aldosterone Syst. 2002, 3, 176–180.
  29. Watts, T.; Berti, I.; Sapone, A.; Gerarduzzi, T.; Not, T.; Zielke, R.; Fasano, A. Role of the Intestinal Tight Junction Modulator Zonulin in the Pathogenesis of Type I Diabetes in BB Diabetic-Prone Rats. Proc. Natl. Acad. Sci. USA 2005, 102, 2916–2921.
  30. Fasano, A. Intestinal Permeability and Its Regulation by Zonulin: Diagnostic and Therapeutic Implications. Clin. Gastroenterol. Hepatol. 2012, 10, 1096–1100.
  31. Kelly, C.P.; Green, P.H.R.; Murray, J.A.; Dimarino, A.; Colatrella, A.; Leffler, D.A.; Alexander, T.; Arsenescu, R.; Leon, F.; Jiang, J.G.; et al. Larazotide Acetate in Patients with Coeliac Disease Undergoing a Gluten Challenge: A Randomised Placebo-Controlled Study. Aliment. Pharm. 2013, 37, 252–262.
  32. Sapone, A.; De Magistris, L.; Pietzak, M.; Clemente, M.G.; Tripathi, A.; Cucca, F.; Lampis, R.; Kryszak, D.; Cartenì, M.; Generoso, M. Zonulin Upregulation Is Associated with Increased Gut Permeability in Subjects with Type 1 Diabetes and Their Relatives. Diabetes 2006, 55, 1443–1449.
  33. Mønsted, M.Ø.; Falck, N.D.; Pedersen, K.; Buschard, K.; Holm, L.J.; Haupt-Jorgensen, M. Intestinal Permeability in Type 1 Diabetes: An Updated Comprehensive Overview. J. Autoimmun. 2021, 122, 102674.
  34. Bosi, E.; Molteni, L.; Radaelli, M.; Folini, L.; Fermo, I.; Bazzigaluppi, E.; Piemonti, L.; Pastore, M.; Paroni, R. Increased Intestinal Permeability Precedes Clinical Onset of Type 1 Diabetes. Diabetologia 2006, 49, 2824–2827.
  35. Secondulfo, M.; Iafusco, D.; Carratu, R.; Demagistris, L.; Sapone, A.; Generoso, M.; Mezzogiorno, A.; Sasso, F.; Cartenì, M.; De Rosa, R. Ultrastructural Mucosal Alterations and Increased Intestinal Permeability in Non-Celiac, Type I Diabetic Patients. Dig. Liver Dis. 2004, 36, 35–45.
  36. Paroni, R.; Fermo, I.; Molteni, L.; Folini, L.; Pastore, M.R.; Mosca, A.; Bosi, E. Lactulose and Mannitol Intestinal Permeability Detected by Capillary Electrophoresis. J. Chromatogr. B 2006, 834, 183–187.
  37. Maffeis, C.; Martina, A.; Corradi, M.; Quarella, S.; Nori, N.; Torriani, S.; Plebani, M.; Contreas, G.; Felis, G.E. Association between Intestinal Permeability and Faecal Microbiota Composition in Italian Children with Beta Cell Autoimmunity at Risk for Type 1 Diabetes. Diabetes/Metab. Res. Rev. 2016, 32, 700–709.
  38. Harbison, J.E.; Roth-Schulze, A.J.; Giles, L.C.; Tran, C.D.; Ngui, K.M.; Penno, M.A.; Thomson, R.L.; Wentworth, J.M.; Colman, P.G.; Craig, M.E.; et al. Gut Microbiome Dysbiosis and Increased Intestinal Permeability in Children with Islet Autoimmunity and Type 1 Diabetes: A Prospective Cohort Study. Pediatr. Diabetes 2019, 20, 574–583.
  39. Ulluwishewa, D.; Anderson, R.C.; McNabb, W.C.; Moughan, P.J.; Wells, J.M.; Roy, N.C. Regulation of Tight Junction Permeability by Intestinal Bacteria and Dietary Components. J. Nutr. 2011, 141, 769–776.
  40. Bedi, S.; Richardson, T.M.; Jia, B.; Saab, H.; Brinkman, F.S.L.; Westley, M. Similarities between Bacterial GAD and Human GAD65: Implications in Gut Mediated Autoimmune Type 1 Diabetes. PLoS ONE 2022, 17, e0261103.
  41. Jamshidi, P.; Hasanzadeh, S.; Tahvildari, A.; Farsi, Y.; Arbabi, M.; Mota, J.F.; Sechi, L.A.; Nasiri, M.J. Is There Any Association between Gut Microbiota and Type 1 Diabetes? A Systematic Review. Gut Pathog. 2019, 11, 49.
  42. Altindis, E.; Vomund, A.N.; Chow, I.-T.; Damasio, M.; Kwok, W.; Unanue, E.R.; Kahn, C.R. Identification of Cross Reactive Insulin Immunogenic Epitopes from Commensal Gut Microbes. Diabetes 2018, 67, 95-OR.
  43. Cole, D.K.; Bulek, A.M.; Dolton, G.; Schauenberg, A.J.; Szomolay, B.; Rittase, W.; Trimby, A.; Jothikumar, P.; Fuller, A.; Skowera, A.; et al. Hotspot Autoimmune T Cell Receptor Binding Underlies Pathogen and Insulin Peptide Cross-Reactivity. J. Clin. Investig. 2016, 126, 2191–2204.
  44. Girdhar, K.; Huang, Q.; Chow, I.-T.; Vatanen, T.; Brady, C.; Raisingani, A.; Autissier, P.; Atkinson, M.A.; Kwok, W.W.; Kahn, C.R.; et al. A Gut Microbial Peptide and Molecular Mimicry in the Pathogenesis of Type 1 Diabetes. Proc. Natl. Acad. Sci. USA 2022, 119, e2120028119.
  45. Hill, J.H.; Franzosa, E.A.; Huttenhower, C.; Guillemin, K. A Conserved Bacterial Protein Induces Pancreatic Beta Cell Expansion during Zebrafish Development. Elife 2016, 5, e20145.
  46. Giongo, A.; Gano, K.A.; Crabb, D.B.; Mukherjee, N.; Novelo, L.L.; Casella, G.; Drew, J.C.; Ilonen, J.; Knip, M.; Hyöty, H.; et al. Toward Defining the Autoimmune Microbiome for Type 1 Diabetes. ISME J. 2011, 5, 82–91.
  47. de Goffau, M.C.; Luopajärvi, K.; Knip, M.; Ilonen, J.; Ruohtula, T.; Härkönen, T.; Orivuori, L.; Hakala, S.; Welling, G.W.; Harmsen, H.J.; et al. Fecal Microbiota Composition Differs between Children with β-Cell Autoimmunity and Those without. Diabetes 2013, 62, 1238–1244.
  48. Vatanen, T.; Franzosa, E.A.; Schwager, R.; Tripathi, S.; Arthur, T.D.; Vehik, K.; Lernmark, Å.; Hagopian, W.A.; Rewers, M.J.; She, J.-X.; et al. The Human Gut Microbiome in Early-Onset Type 1 Diabetes from the TEDDY Study. Nature 2018, 562, 589–594.
  49. Murri, M.; Leiva, I.; Gomez-Zumaquero, J.M.; Tinahones, F.J.; Cardona, F.; Soriguer, F.; Queipo-Ortuño, M.I. Gut Microbiota in Children with Type 1 Diabetes Differs from That in Healthy Children: A Case-Control Study. BMC Med. 2013, 11, 46.
  50. Alkanani, A.K.; Hara, N.; Gottlieb, P.A.; Ir, D.; Robertson, C.E.; Wagner, B.D.; Frank, D.N.; Zipris, D. Alterations in Intestinal Microbiota Correlate with Susceptibility to Type 1 Diabetes. Diabetes 2015, 64, 3510–3520.
  51. Kostic, A.D.; Gevers, D.; Siljander, H.; Vatanen, T.; Hyötyläinen, T.; Hämäläinen, A.-M.; Peet, A.; Tillmann, V.; Pöhö, P.; Mattila, I.; et al. The Dynamics of the Human Infant Gut Microbiome in Development and in Progression toward Type 1 Diabetes. Cell Host Microbe 2015, 17, 260–273.
  52. Zhang, L.; Jonscher, K.R.; Zhang, Z.; Xiong, Y.; Mueller, R.S.; Friedman, J.E.; Pan, C. Islet Autoantibody Seroconversion in Type-1 Diabetes Is Associated with Metagenome-Assembled Genomes in Infant Gut Microbiomes. Nat. Commun. 2022, 13, 3551.
  53. Biassoni, R.; Di Marco, E.; Squillario, M.; Barla, A.; Piccolo, G.; Ugolotti, E.; Gatti, C.; Minuto, N.; Patti, G.; Maghnie, M.; et al. Gut Microbiota in T1DM-Onset Pediatric Patients: Machine-Learning Algorithms to Classify Microorganisms as Disease Linked. J. Clin. Endocrinol. Metab. 2020, 105, dgaa407.
  54. Davis-Richardson, A.G.; Triplett, E.W. A Model for the Role of Gut Bacteria in the Development of Autoimmunity for Type 1 Diabetes. Diabetologia 2015, 58, 1386–1393.
  55. Del Chierico, F.; Conta, G.; Matteoli, M.C.; Fierabracci, A.; Reddel, S.; Macari, G.; Gardini, S.; Guarrasi, V.; Levi Mortera, S.; Marzano, V.; et al. Gut Microbiota Functional Traits, Blood PH, and Anti-GAD Antibodies Concur in the Clinical Characterization of T1D at Onset. Int. J. Mol. Sci. 2022, 23, 10256.
  56. van Heck, J.I.P.; Gacesa, R.; Stienstra, R.; Fu, J.; Zhernakova, A.; Harmsen, H.J.M.; Weersma, R.K.; Joosten, L.A.B.; Tack, C.J. The Gut Microbiome Composition Is Altered in Long-Standing Type 1 Diabetes and Associates with Glycemic Control and Disease-Related Complications. Diabetes Care 2022, 45, 2084–2094.
  57. Brown, C.T.; Davis-Richardson, A.G.; Giongo, A.; Gano, K.A.; Crabb, D.B.; Mukherjee, N.; Casella, G.; Drew, J.C.; Ilonen, J.; Knip, M.; et al. Gut Microbiome Metagenomics Analysis Suggests a Functional Model for the Development of Autoimmunity for Type 1 Diabetes. PLoS ONE 2011, 6, e25792.
  58. de Goffau, M.C.; Fuentes, S.; van den Bogert, B.; Honkanen, H.; de Vos, W.M.; Welling, G.W.; Hyöty, H.; Harmsen, H.J.M. Aberrant Gut Microbiota Composition at the Onset of Type 1 Diabetes in Young Children. Diabetologia 2014, 57, 1569–1577.
  59. de Groot, P.F.; Belzer, C.; Aydin, Ö.; Levin, E.; Levels, J.H.; Aalvink, S.; Boot, F.; Holleman, F.; van Raalte, D.H.; Scheithauer, T.P.; et al. Distinct Fecal and Oral Microbiota Composition in Human Type 1 Diabetes, an Observational Study. PLoS ONE 2017, 12, e0188475.
More
© Text is available under the terms and conditions of the Creative Commons Attribution (CC BY) license; additional terms may apply. By using this site, you agree to the Terms and Conditions and Privacy Policy.
Upload a video for this entry
Information
Subjects: Endocrinology & Metabolism
Contributors MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register :
Federica Del Chierico
,
Novella Rapini
,
Annalisa Deodati
,
Maria Cristina Matteoli
,
Stefano Cianfarani
,
Lorenza Putignani
View Times: 449
Revisions: 2 times (View History)
Update Date: 07 Dec 2022
Table of Contents
    1000/1000
    Hot Most Recent
    Video Production Service
    Feedback