Abstract
Aims
Valerate and caproate are two subtypes of short-chain fatty acids produced by gut microbiota. We aimed to measure the serum valerate and caproate levels and analyze the associations between them and renal prognosis of diabetic nephropathy (DN).
Methods
The serum samples of patients with biopsy-confirmed diagnosis of DN were collected in the First Affiliated Hospital of Zhejiang University, from April 1, 2013, to March 31, 2018. One hundred patients were included and divided into an early DN group (eGFR ≥ 60 ml/min, n = 42) and an advanced DN group (eGFR < 60 ml/min, n = 58). The valerate and caproate were measured using gas chromatography–mass spectrometry. Participants were followed up until the cutoff date of August 31, 2018, or if they met the primary endpoint of end-stage renal disease (ESRD).
Results
There were 71 males and 29 females in this study, and 29 patients developed ESRD. We observed a significant lower concentration of valerate and caproate in the advanced DN group. There were negative correlations between valerate and glomerular classification (r = − 0.20, P = 0.03) and between caproate and interstitial fibrosis and tubular atrophy (IFTA) (r = − 0.24, P = 0.01). And there were positive correlations between valerate or caproate and eGFR (r = 0.22, P = 0.02; r = 0.38, P < 0.01). Multivariate Cox analysis revealed higher levels of valerate and caproate were negatively related to progression to ESRD (HR = 0.024, P = 0.016; HR = 0.543, P = 0.030). The area under the curve values of valerate and caproate levels were 0.66 and 0.63, respectively, in predicting progression to ESRD.
Conclusion
This study showed alterations in serum valerate and caproate in DN and demonstrates lower valerate and caproate levels with progression of DN to ESRD.
Similar content being viewed by others
References
Li YZ, Teng D, Shi XG et al (2020) Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: National Cross Sectional Study. BMJ 369:m997. https://doi.org/10.1136/bmj.m997
Demmer RT, Zuk AM, Rosenbaum M, Desvarieux M (2013) Prevalence of diagnosed and undiagnosed type 2 diabetes mellitus among US adolescents: results from the continuous NHANES, 1999–2010. Am J Epidemiol 178(7):1106–1113. https://doi.org/10.1093/aje/kwt088
Anders HJ, Andersen K, Stecher B (2013) The intestinal microbiota, a leaky gut, and abnormal immunity in kidney disease. Kidney Int 83(6):1010–1016. https://doi.org/10.1038/ki.2012.440
Tao S, Li L, Li L et al (2019) Understanding the gut-kidney axis among biopsy-proven diabetic nephropathy, type 2 diabetes mellitus and healthy controls: an analysis of the gut microbiota composition. Acta Diabetol 56(5):581–592. https://doi.org/10.1007/s00592-019-01316-7
Høverstad T, Midtvedt T (1986) Short-chain fatty acids in germfree mice and rats. J Nutr 116(9):1772–1776. https://doi.org/10.1093/jn/116.9.1772
Jacobson A, Lam L, Rajendram M et al (2018) A gut commensal-produced metabolite mediates colonization resistance to salmonella infection. Cell Host Microbe 24(2):296-307.e297. https://doi.org/10.1016/j.chom.2018.07.002
Wang S, Lv D, Jiang S et al (2019) Quantitative reduction in short-chain fatty acids, especially butyrate, contributes to the progression of chronic kidney disease. Clin Sci (Lond) 133(17):1857–1870. https://doi.org/10.1042/CS20190171
Cai K, Ma Y, Cai F et al (2022) Changes of gut microbiota in diabetic nephropathy and its effect on the progression of kidney injury. Endocrine (Epub ahead of print). https://doi.org/10.1007/s12020-022-03002-1
Li YJ, Chen X, Kwan TK et al (2020) Dietary fiber protects against diabetic nephropathy through short-chain fatty acid-mediated activation of G protein-coupled receptors GPR43 and GPR109A. J Am Soc Nephrol 31(6):1267–1281. https://doi.org/10.1681/ASN.2019101029
Jadoon A, Mathew AV, Byun J et al (2018) Gut microbial product predicts cardiovascular risk in chronic kidney disease patients. Am J Nephrol 48(4):269–277. https://doi.org/10.1159/000493862
El-Far M, Durand M, Turcotte I et al (2021) Upregulated IL-32 expression and reduced gut short chain fatty acid caproic acid in people living with HIV with subclinical atherosclerosis. Front Immunol 12:664371. https://doi.org/10.3389/fimmu.2021.664371
Olsson A, Gustavsen S, Nguyen TD et al (2021) Serum short-chain fatty acids and associations with inflammation in newly diagnosed patients with multiple sclerosis and healthy controls. Front Immunol 12:661493. https://doi.org/10.3389/fimmu.2021.661493
Saresella M, Marventano I, Barone M et al (2020) Alterations in circulating fatty acid are associated with gut microbiota dysbiosis and inflammation in multiple sclerosis. Front Immunol 11:1390. https://doi.org/10.3389/fimmu.2020.01390
American Diabetes Association (2017) Standards of medical care in diabetes-2017 abridged for primary care providers. Clin Diabetes 35(1):5–26. https://doi.org/10.2337/cd16-0067
Tervaert TW, Mooyaart AL, Amann K et al (2010) Pathologic classification of diabetic nephropathy. J Am Soc Nephrol 21(4):556–563. https://doi.org/10.1681/ASN.2010010010
McNeil NI, Cummings JH, James WP (1978) Short chain fatty acid absorption by the human large intestine. Gut 19(9):819–822. https://doi.org/10.1136/gut.19.9.819
De Preter V, Machiels K, Joossens M et al (2015) Faecal metabolite profiling identifies medium-chain fatty acids as discriminating compounds in IBD. Gut 64(3):447–458. https://doi.org/10.1136/gutjnl-2013-306423
Gupta A, Dhakan DB, Maji A et al (2019) Association of Flavonifractor plautii, a flavonoid-degrading bacterium, with the gut microbiome of colorectal cancer patients in India. mSystems 4(6):e00438-e519. https://doi.org/10.1128/mSystems.00438-19
Li B, Zhang J, Chen Y et al (2021) Alterations in microbiota and their metabolites are associated with beneficial effects of bile acid sequestrant on icteric primary biliary Cholangitis. Gut Microbes 13(1):1946366. https://doi.org/10.1080/19490976.2021.1946366
Xu Z, Knight R (2015) Dietary effects on human gut microbiome diversity. Br J Nutr 113(Suppl 0):S1-5. https://doi.org/10.1017/S0007114514004127
He Y, Wu W, Zheng H et al (2018) Regional variation limits applications of healthy gut microbiome reference ranges and disease models. Nat Med 24(10):1532–1535. https://doi.org/10.1038/s41591-018-0164-x
Jayaraj RL, Beiram R, Azimullah S et al (2020) Valeric acid protects dopaminergic neurons by suppressing oxidative stress, neuroinflammation and modulating autophagy pathways. Int J Mol Sci 21(20):7670. https://doi.org/10.3390/ijms21207670
Chambers ES, Preston T, Frost G, Morrison DJ (2018) Role of gut microbiota-generated short-chain fatty acids in metabolic and cardiovascular health. Curr Nutr Rep 7(4):198–206. https://doi.org/10.1007/s13668-018-0248-8
Sun M, Wu W, Liu Z, Cong Y (2017) Microbiota metabolite short chain fatty acids, GPCR, and inflammatory bowel diseases. J Gastroenterol 52(1):1–8. https://doi.org/10.1007/s00535-016-1242-9
Luu M, Pautz S, Kohl V et al (2019) The short-chain fatty acid pentanoate suppresses autoimmunity by modulating the metabolic-epigenetic crosstalk in lymphocytes. Nat Commun 10(1):760. https://doi.org/10.1038/s41467-019-08711-2
Tang SCW, Yiu WH (2020) Innate immunity in diabetic kidney disease. Nat Rev Nephrol 16(4):206–222. https://doi.org/10.1038/s41581-019-0234-4
Wu IW, Gao SS, Chou HC et al (2020) Integrative metagenomic and metabolomic analyses reveal severity-specific signatures of gut microbiota in chronic kidney disease. Theranostics 10(12):5398–5411. https://doi.org/10.7150/thno.41725
Zaidan SM, Leyre L, Bunet R et al (2019) Upregulation of IL-32 isoforms in virologically suppressed HIV-infected individuals: potential role in persistent inflammation and transcription from stable HIV-1 reservoirs. J Acquir Immune Defic Syndr 82(5):503–513. https://doi.org/10.1097/QAI.0000000000002185
Hsiao CP, Siebert KJ (1999) Modeling the inhibitory effects of organic acids on bacteria. Int J Food Microbiol 47(3):189–201. https://doi.org/10.1016/s0168-1605(99)00012-4
Funding
This study was supported by the funds from Zhejiang Provincial Natural Science Foundation of China (LY20H05005), Medical Scientific Research Foundation of Zhejiang Province, China (2019KY174, 2018KY696), Ningbo Public Service Technology Foundation, China (2019C50084), and Key Medicinal Subjects of Joint Construction Between Provinces and Cites, China (Grant No. 2022-S03).
Author information
Authors and Affiliations
Contributions
KC, CZ and QL were involved in the study conception and design and data analysis and interpretation. KC and QL contributed to the administrative support. KC, CZ and YM were involved in the patient education and instruction. KC, CZ, XB, QC, JL and JZ collected and assembled the data; KC and CZ took the lead in writing the manuscript with input from all authors. All authors were involved in manuscript writing and final approval of manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethics approval and consent to participate
This study was approved by the Ethics Committee of the First Affiliated Hospital of Medical School of Zhejiang University, and all participants provided written informed consent.
Informed consent
All participants provided written informed consent.
Additional information
This article belongs to the Topical Collection “Diabetic Nephropathy”, managed By Giuseppe Pugliese.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhong, C., Bai, X., Chen, Q. et al. Gut microbial products valerate and caproate predict renal outcome among the patients with biopsy-confirmed diabetic nephropathy. Acta Diabetol 59, 1469–1477 (2022). https://doi.org/10.1007/s00592-022-01948-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00592-022-01948-2