Skip to main content

Advertisement

SpringerLink
Log in

The diversity of gut microbiota in type 2 diabetes with or without cognitive impairment

  • Original Article
  • Published:
Aging Clinical and Experimental Research Aims and scope Submit manuscript

Abstract

Background

Diabetes is associated with a high risk of developing cognitive impairment, but the underlying mechanism remains unclear. Recent studies have found that gut microbiota may be involved in the progression of diabetes-associated cognitive impairment.

Aims

To analyze the diversity of gut microbiota in type 2 diabetes with or without cognitive impairment

Methods

16S rRNA sequencing was used to detect the gut microbiota composition in 154 type 2 diabetes (T2DM) subjects

Results

Among 154 elderly T2DM participants included in our study, 73 with normal and 81 with impaired cognition. Lower levels of hemoglobin and HDL were observed in subjects with cognitive impairment. Patients with cognitive impairment had a lower abundance of Tenericutes. Comparison at the genus level revealed that T2DM patients with cognitive impairment had a decreased abundance of Bifidobacterium and unranked-RF39 and an increased abundance of Peptococcus and unranked-Leuconostocaceae. Additionally, the relative abundance of Veillonella and Pediococcus were decreased in subjects with cognitive impairment. Furthermore, the relative abundance of 7 sub-functions was significantly changed in the group with cognitive impairment. Calcium signaling pathways and the Renin-angiotensin system were upregulated in the cognitive impairment group while GnRH signaling, Fc gamma R-mediated phagocytosis, endocytosis, isoflavonoid biosynthesis, and cytochrome P450 were deregulated.

Conclusion

Bifidobacterium may be associated with cognition in T2DM. Calcium signaling and renin-angiotensin system were shown to be associated with diabetes-associated cognitive impairment through gut microbiota.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Ferri CP, Prince M, Brayne C et al (2005) Alzheimer’s Disease International. Global prevalence of dementia: a Delphi consensus study. Lancet 366:2112–2117

    Article  Google Scholar 

  2. Xu Y, Zhou H, Zhu Q (2017) The impact of microbiota-gut-brain axis on diabetic cognition impairment. Front Aging Neurosci 9:106

    Article  Google Scholar 

  3. Rhee SH, Pothoulakis C, Mayer EA (2009) Principles and clinical implications of the brain-gut-enteric microbiota axis. Nat Rev Gastroenterol Hepatol 6:306–314

    Article  CAS  Google Scholar 

  4. Bienenstock J, Kunze W, Forsythe P (2015) Microbiota and the gut-brain axis. Nutr Rev 73(Suppl 1):28–31

    Article  Google Scholar 

  5. Finegold SM, Dowd SE, Gontcharova V et al (2010) Pyrosequencing study of fecal microflora of autistic and control children. Anaerobe 16:444–453

    Article  CAS  Google Scholar 

  6. Lim JS, Lim MY, Choi Y et al (2017) Modeling environmental risk factors of autism in mice induces IBD-related gut microbial dysbiosis and hyperserotonemia. Mol Brain 10:14

    Article  Google Scholar 

  7. Naseribafrouei A, Hestad K, Avershina E et al (2014) Correlation between the human fecal microbiota and depression. Neurogastroenterol Motil 26:1155–1162

    Article  CAS  Google Scholar 

  8. Santos-Eggimann B, Karmaniola A, Seematter-Bagnoud L et al (2008) The Lausanne cohort Lc65+: a population-based prospective study of the manifestations, determinants and outcomes of frailty. BMC Geriatr 8:20–30

    Article  Google Scholar 

  9. Kato K, Odamaki T, Mitsuyama E et al (2017) Age-related changes in the composition of gut bifidobacterium species. Curr Microbiol 74:987–995

    Article  CAS  Google Scholar 

  10. Blasco G, Moreno-Navarrete JM, Rivero M et al (2017) The gut metagenome changes in parallel to waist circumference, brain iron deposition, and cognitive function. J Clin Endocrinol Metab 102:2962–2973

    Article  Google Scholar 

  11. Pinero F, Vazquez M, Bare P et al (2019) A different gut microbiome linked to inflammation found in cirrhotic patients with and without hepatocellular carcinoma. Ann Hepatol 18:480–487

    Article  CAS  Google Scholar 

  12. Yun Y, Kim HN, Lee EJ et al (2019) Fecal and blood microbiota profiles and presence of nonalcoholic fatty liver disease in obese versus lean subjects. PLoS ONE 14:e0213692

    Article  CAS  Google Scholar 

  13. Golubeva AV, Crampton S, Desbonnet L et al (2015) Prenatal stress-induced alterations in major physiological systems correlate with gut microbiota composition in adulthood. Psychoneuroendocrinology 60:58–74

    Article  Google Scholar 

  14. Bajaj JS, Hylemon PB, Ridlon JM et al (2012) Colonic mucosal microbiome differs from stool microbiome in cirrhosis and hepatic encephalopathy and is linked to cognition and inflammation. Am J Physiol Gastrointest Liver Physiol 303:G675–685

    Article  CAS  Google Scholar 

  15. Kaji K, Takaya H, Saikawa S et al (2017) Rifaximin ameliorates hepatic encephalopathy and endotoxemia without affecting the gut microbiome diversity. World J Gastroenterol 23:8355–8366

    Article  CAS  Google Scholar 

  16. Hamezah HS, Durani LW, Yanagisawa D et al (2018) Proteome profiling in the hippocampus, medial prefrontal cortex, and striatum of aging rat. Exp Gerontol 111:53–64

    Article  CAS  Google Scholar 

  17. Kehoe PG (2018) The coming of age of the angiotensin hypothesis in alzheimer's disease: progress toward disease prevention and treatment. J Alzheimers Dis 62:1443–1466

    Article  CAS  Google Scholar 

  18. Hough D, Robinson JE, Bellingham M et al (2019) Peripubertal GnRH and testosterone co-treatment leads to increased familiarity preferences in male sheep. Psychoneuroendocrinology 108:70–77

    Article  CAS  Google Scholar 

  19. Ahmad S, Bannister C, van der Lee SJ et al (2018) Disentangling the biological pathways involved in early features of Alzheimer's disease in the Rotterdam Study. Alzheimers Dement 14:848–857

    Article  Google Scholar 

  20. Ladinsky MS, Araujo LP, Zhang X et al (2019) Endocytosis of commensal antigens by intestinal epithelial cells regulates mucosal T cell homeostasis. Science 2019:363

    Google Scholar 

  21. Rajput MS, Sarkar PD, Nirmal NP (2017) Inhibition of DPP-4 activity and neuronal atrophy with genistein attenuates neurological deficits induced by transient global cerebral ischemia and reperfusion in streptozotocin-induced diabetic mice. Inflammation 40:623–635

    Article  CAS  Google Scholar 

  22. Fu ZD, Cui JY (2017) Remote sensing between liver and intestine: importance of microbial metabolites. Curr Pharmacol Rep 3:101–113

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Funded by the Wuxi Commission of Public Health and Family Planning of China (T201629), Wuxi people’s hospital (RKA201725, RKB 201714, RKA201811).

Author information

Author notes

  1. Yunyun Zhang and Shourong Lu have contributed equally to this paper

Authors and Affiliations

  1. Geriatric Department, Nanjing Medical University Affiliated Wuxi People’s Hospital, Wuxi, 214000, China

    Yunyun Zhang, Shourong Lu, Ying Yang, Zhuo Wang, Bin Wang, Bingshan Zhang, Jie Yu & Kan Hong

  2. State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, 214122, China

    Wenwei Lu, Mingluo Pan & Jianxin Zhao

  3. Department of Medicine, Wuxi Xin’an Community Health Service Center, Wuxi, 214135, China

    Shenghua Guo, Jin Cheng & Xiaorong Chen

  4. Department of Neurology, Nanjing Medical University Affiliated Shanghai East Hospital, Shanghai, 200123, China

    Gang Li

  5. Department of Cardiovascular, Nanjing Medical University Affiliated Wuxi People’s Hospital, Wuxi, 214000, China

    Zhiming Yu

Authors
  1. Yunyun Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shourong Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ying Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhuo Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Bingshan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Jie Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Wenwei Lu
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Mingluo Pan
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Jianxin Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Shenghua Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Jin Cheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Xiaorong Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Kan Hong
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Gang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Zhiming Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Conceptualization: [KH and GL]; methodology: [YY, ZW, WL, JZ and MP]; formal analysis and investigation: [YZ, SL, BW, BZ, JY, SG and XC]; writing—original draft preparation: [YZ]; writing—review and editing: [GL]; funding acquisition: [KH]; resources: [ZY]; supervision: [KH and ZY].

Corresponding authors

Correspondence to Kan Hong, Gang Li or Zhiming Yu.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Statement of human and animal rights

The present study was approved by the Ethics Committee of the Nanjing Medical University affiliated Wuxi People’s Hospital, China.

Informed consent

The participants or their legal guardians provided written informed content to participate in our study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Y., Lu, S., Yang, Y. et al. The diversity of gut microbiota in type 2 diabetes with or without cognitive impairment. Aging Clin Exp Res 33, 589–601 (2021). https://doi.org/10.1007/s40520-020-01553-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40520-020-01553-9

Keywords

Search

Navigation