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BMC Public Health
Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Insulins | Research

Insufficient compensatory pancreatic β-cells function might be closely associated with hyperuricemia in U.S. adults: evidence from the National Health and Nutrition Examination Survey

Authors: Tianran Shen, Qiutong Zheng, Liling Zhong, Xia Zeng, Xiaojing Yuan, Fengxin Mo, Shiheng Zhu, Wenhan Yang, Qingsong Chen

Published in: BMC Public Health | Issue 1/2024

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Abstract

Background

The prevalence of hyperuricemia (HUA) is gradually increasing worldwide. HUA is closely related to diabetes, but the relationship between HUA and pancreatic β-cells function in the population is unclear. The purpose of this article is to investigate the association between pancreatic β-cells and HUA.

Methods

This cross-sectional study examined the association between pancreatic β-cells and HUA in 1999–2004 using data from the National Health and Nutrition Examination Survey (NHANES). Subjects were divided into two groups: HUA and non-HUA. Pancreatic β-cells function levels were assessed using homeostasis model assessment version 2-%S (HOMA2-%S), homeostasis model assessment version 2-%B (HOMA2-%B) and disposition index (DI). Multivariate logistic regression models and restricted cubic spline models were fitted to assess the association of pancreatic β-cells function with HUA.

Results

The final analysis included 5496 subjects with a mean age of 46.3 years (standard error (SE), 0.4). The weighted means of HOMA2-%B, HOMA2-%S and DI were 118.1 (SE, 1.0), 69.9(SE, 1.1) and 73.9 (SE, 0.7), respectively. After adjustment for major confounders, participants in the highest quartile of HOMA2-%B had a higher risk of HUA (OR = 2.55, 95% CI: 1.89–3.43) compared to participants in the lowest quartile. In contrast, participants in the lowest quartile of HOMA2-%S were significantly more likely to have HUA than that in the highest quartile (OR = 3.87, 95% CI: 2.74–5.45), and similar results were observed in DI (OR = 1.98, 95% CI: 1.32–2.97). Multivariate adjusted restricted cubic spline analysis found evidence of non-linear associations between HOMA2-%B, HOAM2-%S, DI and the prevalence of HUA.

Conclusion

Our finding illustrated the indicators of inadequate β-cells compensation might be a new predictor for the presence of HUA in U.S. adults, highlighting a critical role of pancreatic β-cells function on HUA.
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Literature
1.
Ichida K, Matsuo H, Takada T, Nakayama A, Murakami K, Shimizu T, Yamanashi Y, Kasuga H, Nakashima H, Nakamura T, et al. Decreased extra-renal urate excretion is a common cause of hyperuricemia. Nat Commun. 2012;3:764.CrossRefPubMed
2.
3.
Dehlin M, Jacobsson L, Roddy E. Global epidemiology of gout: prevalence, incidence, treatment patterns and risk factors. Nat Rev Rheumatol. 2020;16(7):380–90.CrossRefPubMed
4.
Chen-Xu M, Yokose C, Rai SK, Pillinger MH, Choi HK. Contemporary Prevalence of Gout and Hyperuricemia in the United States and Decadal Trends: The National Health and Nutrition Examination Survey, 2007–2016. Arthritis Rheumatol. 2019;71(6):991–9.CrossRefPubMedPubMedCentral
5.
Ding N, He L, Li C, Su Y. Uric acid and blood pressure in NHANES dated from 2009 to 2018: A cross-sectional research. Nutr Metab Cardiovasc Dis. 2022;32(11):2568–78.CrossRefPubMed
6.
Su H, Liu T, Li Y, Fan Y, Wang B, Liu M, Hu G, Meng Z, Zhang Q. Serum uric acid and its change with the risk of type 2 diabetes: A prospective study in China. Prim Care Diabetes. 2021;15(6):1002–6.CrossRefPubMed
7.
Xie D, Zhao H, Lu J, He F, Liu W, Yu W, Wang Q, Hisatome I, Yamamoto T, Koyama H, et al. High uric acid induces liver fat accumulation via ROS/JNK/AP-1 signaling. Am J Physiol Endocrinol Metab. 2021;320(6):E1032–43.CrossRefPubMed
8.
9.
10.
Zhong X, Zhang D, Yang L, Du Y, Pan T. The relationship between serum uric acid within the normal range and β-cell function in Chinese patients with type 2 diabetes: differences by body mass index and gender. PeerJ. 2019;7:e6666.CrossRefPubMedPubMedCentral
11.
Martínez-Sánchez FD, Vargas-Abonce VP, Guerrero-Castillo AP, Santos-Villavicencio MDL, Eseiza-Acevedo J, Meza-Arana CE, Gulias-Herrero A, Gómez-Sámano MÁ. Serum Uric Acid concentration is associated with insulin resistance and impaired insulin secretion in adults at risk for Type 2 Diabetes. Prim Care Diabetes. 2021;15(2):293–9.CrossRefPubMed
12.
Yu P, Huang L, Wang Z, Meng X, Yu X. The Association of Serum Uric Acid with Beta-Cell Function and Insulin Resistance in Nondiabetic Individuals: A Cross-Sectional Study. Diabetes Metab Syndr Obes. 2021;14:2673–82.CrossRefPubMedPubMedCentral
13.
Volpe A, Ye C, Hanley AJ, Connelly PW, Zinman B, Retnakaran R. Changes Over Time in Uric Acid in Relation to Changes in Insulin Sensitivity, Beta-Cell Function, and Glycemia. J Clin Endocrinol Metab. 2020;105(3):e651–9.CrossRefPubMed
14.
DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979;237(3):E214–23.PubMed
15.
Bergman RN, Phillips LS, Cobelli C. Physiologic evaluation of factors controlling glucose tolerance in man: measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose. J Clin Invest. 1981;68(6):1456–67.CrossRefPubMedPubMedCentral
16.
Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care. 2004;27(6):1487–95.CrossRefPubMed
17.
Utzschneider KM, Prigeon RL, Faulenbach MV, Tong J, Carr DB, Boyko EJ, Leonetti DL, McNeely MJ, Fujimoto WY, Kahn SE. Oral disposition index predicts the development of future diabetes above and beyond fasting and 2-h glucose levels. Diabetes Care. 2009;32(2):335–41.CrossRefPubMedPubMedCentral
18.
Xiang AH, Wang C, Peters RK, Trigo E, Kjos SL, Buchanan TA. Coordinate changes in plasma glucose and pancreatic beta-cell function in Latino women at high risk for type 2 diabetes. Diabetes. 2006;55(4):1074–9.CrossRefPubMed
19.
20.
Vital signs: prevalence, treatment, and control of hypertension--United States, 1999–2002 and 2005–2008. MMWR Morb Mortal Wkly Rep 2011, 60(4):103–108.
21.
Gillett MJ. International Expert Committee report on the role of the A1c assay in the diagnosis of diabetes: Diabetes Care 2009; 32(7): 1327-1334. Clin Biochem Rev. 2009;30(4):197–200.PubMedPubMedCentral
22.
Mahemuti N, Jing X, Zhang N, Liu C, Li C, Cui Z, Liu Y, Chen J. Association between Systemic Immunity-Inflammation Index and Hyperlipidemia: A Population-Based Study from the NHANES (2015–2020). Nutrients. 2023;15(5):1177.CrossRefPubMedPubMedCentral
23.
Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–12.CrossRefPubMedPubMedCentral
24.
25.
Johnson CL, Paulose-Ram R, Ogden CL, Carroll MD, Kruszon-Moran D, Dohrmann SM, Curtin LR. National health and nutrition examination survey: analytic guidelines, 1999–2010. Vital Health Stat 2. 2013;161:1–24.
26.
Song YS, Hwang YC, Ahn HY, Park CY. Comparison of the Usefulness of the Updated Homeostasis Model Assessment (HOMA2) with the Original HOMA1 in the Prediction of Type 2 Diabetes Mellitus in Koreans. Diabetes Metab J. 2016;40(4):318–25.CrossRefPubMedPubMedCentral
27.
Fan B, Wu H, Shi M, Yang A, Lau ESH, Tam CHT, Mao D, Lim CKP, Kong APS, Ma RCW, et al. Associations of the HOMA2-%B and HOMA2-IR with progression to diabetes and glycaemic deterioration in young and middle-aged Chinese. Diabetes Metab Res Rev. 2022;38(5):e3525.CrossRefPubMedPubMedCentral
28.
Zhang H-J, Tan X, Wang N-J. National trends in insulin resistance and β-cell dysfunction among adults with prediabetes: NHANES 2001–2016. Chronic Dis Transl Med. 2021;7(2):125–34.PubMedPubMedCentral
29.
Jia L, Xing J, Ding Y, Shen Y, Shi X, Ren W, Wan M, Guo J, Zheng S, Liu Y, et al. Hyperuricemia causes pancreatic β-cell death and dysfunction through NF-κB signaling pathway. PLoS One. 2013;8(10):e78284.CrossRefPubMedPubMedCentral
30.
Tang W, Fu Q, Zhang Q, Sun M, Gao Y, Liu X, Qian L, Shan S, Yang T. The association between serum uric acid and residual β -cell function in type 2 diabetes. J Diabetes Res. 2014;2014:709691.CrossRefPubMedPubMedCentral
31.
Bergman RN, Ader M, Huecking K, Van Citters G. Accurate assessment of beta-cell function: the hyperbolic correction. Diabetes. 2002;51(Suppl 1):S212–20.CrossRefPubMed
32.
Ter Maaten JC, Voorburg A, Heine RJ, Ter Wee PM, Donker AJ, Gans RO. Renal handling of urate and sodium during acute physiological hyperinsulinaemia in healthy subjects. Clin Sci (Lond). 1997;92(1):51–8.CrossRefPubMed
33.
McCormick N, O’Connor MJ, Yokose C, Merriman TR, Mount DB, Leong A, Choi HK. Assessing the Causal Relationships Between Insulin Resistance and Hyperuricemia and Gout Using Bidirectional Mendelian Randomization. Arthritis Rheumatol. 2021;73(11):2096–104.CrossRefPubMedPubMedCentral
34.
Evans SA, Doblado M, Chi MM, Corbett JA, Moley KH. Facilitative glucose transporter 9 expression affects glucose sensing in pancreatic beta-cells. Endocrinology. 2009;150(12):5302–10.CrossRefPubMedPubMedCentral
35.
Bibert S, Hess SK, Firsov D, Thorens B, Geering K, Horisberger J-D, Bonny O. Mouse GLUT9: evidences for a urate uniporter. Am J Physiol Renal Physiol. 2009;297(3):F612–9.CrossRefPubMed
36.
37.
Wingrove CS, Walton C, Stevenson JC. The effect of menopause on serum uric acid levels in non-obese healthy women. Metabolism. 1998;47(4):435–8.CrossRefPubMed
38.
Chen L-K, Lin M-H, Lai H-Y, Hwang S-J, Chiou S-T. Uric acid: a surrogate of insulin resistance in older women. Maturitas. 2008;59(1):55–61.CrossRefPubMed
39.
Chen J-H, Tsai C-C, Liu Y-H, Wu P-Y, Huang J-C, Chung T-L, Su H-M, Chen S-C. Sex Difference in the Associations among Hyperuricemia with New-Onset Chronic Kidney Disease in a Large Taiwanese Population Follow-Up Study. Nutrients. 2022;14(18):3832.CrossRefPubMedPubMedCentral
40.
Pan Y, Chen W, Jing J, Zheng H, Jia Q, Li H, Zhao X, Liu L, Wang Y, He Y, et al. Pancreatic β-Cell Function and Prognosis of Nondiabetic Patients With Ischemic Stroke. Stroke. 2017;48(11):2999–3005.CrossRefPubMed
41.
den Biggelaar LJCJ, Sep SJS, Eussen SJPM, Mari A, Ferrannini E, van Greevenbroek MMJ, van der Kallen CJH, Schalkwijk CG, Stehouwer CDA, Dagnelie PC. Discriminatory ability of simple OGTT-based beta cell function indices for prediction of prediabetes and type 2 diabetes: the CODAM study. Diabetologia. 2017;60(3):432–41.CrossRef
42.
Pacini G, Mari A. Methods for clinical assessment of insulin sensitivity and beta-cell function. Best Pract Res Clin Endocrinol Metab. 2003;17(3):305–22.CrossRefPubMed
43.
Cobelli C, Toffolo GM, Dalla Man C, Campioni M, Denti P, Caumo A, Butler P, Rizza R. Assessment of beta-cell function in humans, simultaneously with insulin sensitivity and hepatic extraction, from intravenous and oral glucose tests. Am J Physiol Endocrinol Metab. 2007;293(1):E1–15.
44.
Metadata
Title
Insufficient compensatory pancreatic β-cells function might be closely associated with hyperuricemia in U.S. adults: evidence from the National Health and Nutrition Examination Survey
Authors
Tianran Shen
Qiutong Zheng
Liling Zhong
Xia Zeng
Xiaojing Yuan
Fengxin Mo
Shiheng Zhu
Wenhan Yang
Qingsong Chen
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-023-17471-0

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