Cited by 14Diabetes Treatment and ManagementChronic Kidney Disease and DiabetesAdipokines, Inflammation, and Metabolic Diseases

Effects of exenatide on urinary albumin in overweight/obese patients with T2DM: a randomized clinical trial

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Kang, Chao, Qiao, Qiao, Tong, Qiang, Bai, Qian, Huang, Chen, Fan, Rong, Wang, Hui, Kaliannan, Kanakaraju +2 more·2021·Scientific Reports

Abstract

In this study, we investigated the effect of exenatide (EXE), a glucagon-like peptide (GLP)-1 receptor agonist, on kidney function, obesity indices, and glucose control in overweight/obese patients with type 2 diabetes mellitus (T2DM). A total of 159 overweight/obese patients with T2DM were randomized to the EXE group or insulin glargine (GLAR) control group for a total treatment period of 24 weeks. EXE intervention significantly reduced the urine albumin concentration (UAC) at week 12 and 24 endpoints (P < 0.001 at week 12 and 24). The levels of the anthropometric, glucose and lipid parameters (TG and HDL-c), and inflammation biomarkers (CRP and TNF-α) in the EXE group were improved at 12 weeks or 24 weeks, respectively. Meanwhile, a comparison between two groups showed significant changes in anthropometric parameters, glucose parameters, lipid parameters (TG and HDL-c), and Inflammation biomarkers (CRP, IL-6, and TNF-α). Serum fibroblast growth factor 21 (FGF21) was increased in the EXE group (P = 0.005) at week 24, and the change was significantly improved compared with GLAR group (P = 0.003). Correlation network analysis showed that FGF21 had a more central role in improving metabolism in the EXE group, and the change of FGF 21 was significantly negatively correlated with UAC at week 12 and week 24, respectively (r = - 0.297, P = 0.010; r = - 0.294, P = 0.012). Our results showed that EXE could help patients improve UAC, glycemic levels, and inflammatory biomarkers after a follow-up period of 24 weeks intervention. These EXE effects may be partly mediated by FGF 21, indicating that EXE is an effective and safe way to control albuminuria in overweight/obese patients with T2DM.

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  • Insulin therapy is associated with weight gain.

    “insulin therapy, though essential, has rarely demonstrated superior efficacy in lowering inflammatory markers like TNF-α and CRP compared to other treatments and is associated with weight gain (14, 15).”

    From Inflammatory biomarker response to GLP-1 receptor agonists versus other glucose-lowering medications in patients with type 2 diabetes: a systematic review and meta-analysis (2026) · cites this paper as [15]

    Table 2 in Results > Other efficacy variables (page unavailable) reports a mean weight change of −0.658 kg at week 24 in the insulin glargine group, not weight gain; the change was not statistically significant (P = 0.221). This trial therefore does not show the weight gain attributed to insulin therapy, although its result does not settle whether insulin therapy is associated with weight gain more generally. (LLM, conf=0.84)

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  • Insulin therapy has rarely demonstrated superior efficacy in lowering inflammatory markers like TNF-alpha and CRP compared to other treatments.

    “insulin therapy, though essential, has rarely demonstrated superior efficacy in lowering inflammatory markers like TNF-α and CRP compared to other treatments and is associated with weight gain (14, 15).”

    From Inflammatory biomarker response to GLP-1 receptor agonists versus other glucose-lowering medications in patients with type 2 diabetes: a systematic review and meta-analysis (2026) · cites this paper as [15]

    The Study design section identifies insulin glargine as the comparator, and Results > Other efficacy variables reports significantly greater changes in CRP and TNF-α with exenatide in this 24-week trial. One comparison does not establish that insulin therapy has *rarely* shown superior efficacy across other treatments; no page number is available in our copy. (LLM, conf=0.86)

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  • Individual randomized controlled trial findings on the effects of GLP-1 receptor agonists on inflammatory biomarkers are inconsistent.

    “The findings, however, have been inconsistent. Some studies report significant reductions in TNF-α and CRP with GLP-1 RA therapy compared to placebo or other antidiabetic medications (6, 15, 17, 18), while others show non-significant or conflicting results (19, 20).”

    From Inflammatory biomarker response to GLP-1 receptor agonists versus other glucose-lowering medications in patients with type 2 diabetes: a systematic review and meta-analysis (2026) · cites this paper as [15]

    In Results > Other efficacy variables (page unavailable), the trial reports significant between-group differences in CRP and TNF-α with exenatide versus insulin glargine; its table also shows nonsignificant findings for some other inflammatory markers. This trial therefore contributes biomarker findings, but it does not establish the citing sentence’s broader claim that findings across randomized trials are inconsistent. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • In this study, several studies found that improvements in inflammatory markers were accompanied by decreases in albuminuria.

    “In our study, several studies found that improvements in inflammatory markers were accompanied by decreases in albuminuria (6, 15, 17, 18).”

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Research works printed but not linked: 27

  1. [1]Hu J Abdominal obesity is more closely associated with diabetic kidney disease Than General Obesity Diabetes Care 2016 39 e179 180 10.2337/dc16-1025 27538755 · DOI
  2. [2]de Boer IH Temporal trends in the prevalence of diabetic kidney disease in the United States JAMA 2011 305 2532 2539 10.1001/jama.2011.861 21693741 PMC3731378 · DOI · Paper page
  3. [3]KDOQI KDOQI clinical practice guidelines and clinical practice recommendations for diabetes and chronic kidney disease Am. J. Kidney Dis. 2007 49 S12 154 10.1053/j.ajkd.2006.12.005 17276798 · DOI · Paper page
  4. [5]Diamant M Exenatide once weekly versus insulin glargine for type 2 diabetes (DURATION-3): 3-year results of an open-label randomised trial Lancet Diabetes Endocrinol. 2014 2 464 473 10.1016/S2213-8587(14)70029-4 24731672 · DOI
  5. [6]Çavusoglu T Comparison of nephron-protective effects of enalapril and GLP analogues (exenatide) in diabetic nephropathy Exp. Clin. Endocrinol. Diabetes 2014 122 327 333 10.1055/s-0034-1372584 24941431 · DOI
  6. [7]Kodera R Glucagon-like peptide-1 receptor agonist ameliorates renal injury through its anti-inflammatory action without lowering blood glucose level in a rat model of type 1 diabetes Diabetologia 2011 54 965 978 10.1007/s00125-010-2028-x 21253697 · DOI · Paper page
  7. [8]Pasternak B Use of glucagon-like peptide 1 receptor agonists and risk of serious renal events: Scandinavian cohort study Diabetes Care 2020 43 1326 1335 10.2337/dc19-2088 32295809 · DOI
  8. [9]Tonneijck L Acute renal effects of the GLP-1 receptor agonist exenatide in overweight type 2 diabetes patients: A randomised, double-blind, placebo-controlled trial Diabetologia 2016 59 1412 1421 10.1007/s00125-016-3938-z 27038451 PMC4901099 · DOI · Paper page
  9. [10]Pawaskar M Tuttle KR Li Q Best JH Anderson PW Observational study of kidney function and albuminuria in patients with type 2 diabetes treated with exenatide BID versus insulin glargine Ann. Pharmacother. 2014 48 571 576 10.1177/1060028013520597 24497624 · DOI
  10. [11]van der Aart-van der Beek AB Exenatide once weekly decreases urinary albumin excretion in patients with type 2 diabetes and elevated albuminuria: Pooled analysis of randomized active controlled clinical trials Diabetes Obes. Metab. 2020 22 1556 1566 10.1111/dom.14067 32329160 PMC7496075 · DOI
  11. [12]Reynolds K Prevalence and risk factors of overweight and obesity in China Obesity 2007 15 10 18 10.1038/oby.2007.527 17228026 · DOI
  12. [13]Kelly AS The effect of glucagon-like peptide-1 receptor agonist therapy on body mass index in adolescents with severe obesity: A randomized, placebo-controlled, clinical trial JAMA Pediatr. 2013 167 355 360 10.1001/jamapediatrics.2013.1045 23380890 PMC4010226 · DOI
  13. [14]Bouhanick B Predictive value of testing random urine sample to detect microalbuminuria in diabetic subjects during outpatient visit Diabete Metab. 1992 18 54 58 1563538
  14. [15]Raper N Perloff B Ingwersen L Steinfeldt L Anand J An overview of USDA's dietary intake data system J. Food Compos. Anal. 2004 17 545 555 10.1016/j.jfca.2004.02.013 · DOI
  15. [16]Craig CL International physical activity questionnaire: 12-country reliability and validity Med. Sci. Sports Exerc. 2003 35 1381 1395 10.1249/01.mss.0000078924.61453.fb 12900694 · DOI · Paper page
  16. [17]Detry MA Ma Y Analyzing repeated measurements using mixed models JAMA 2016 315 407 408 10.1001/jama.2015.19394 26813213 · DOI
  17. [18]Hou X Impact of waist circumference and body mass index on risk of cardiometabolic disorder and cardiovascular disease in Chinese adults: A national diabetes and metabolic disorders survey PLoS ONE 2013 8 e57319 10.1371/journal.pone.0057319 23520466 PMC3592870 · DOI
  18. [19]Viswanathan P Exenatide therapy in obese patients with type 2 diabetes mellitus treated with insulin Endocr. Pract. 2007 13 444 450 10.4158/EP.13.5.444 17872344 · DOI
  19. [20]Chaudhuri A Exenatide induces an increase in vasodilatory and a decrease in vasoconstrictive mediators Diabetes Obes. Metab. 2017 19 729 733 10.1111/dom.12835 27891769 · DOI
  20. [21]Saiki A Effect of weight loss using formula diet on renal function in obese patients with diabetic nephropathy Int. J. Obes. 2005 29 1115 1120 10.1038/sj.ijo.0803009 15925953 · DOI
  21. [22]Patti AM Exenatide once-weekly improves metabolic parameters, endothelial dysfunction and carotid intima-media thickness in patients with type-2 diabetes: An 8-month prospective study Diabetes Res. Clin. Pract. 2019 149 163 169 10.1016/j.diabres.2019.02.006 30759365 · DOI
  22. [23]Zhang H Zhang X Hu C Lu W Exenatide reduces urinary transforming growth factor-beta1 and type IV collagen excretion in patients with type 2 diabetes and microalbuminuria Kidney Blood Press. Res. 2012 35 483 488 10.1159/000337929 22687869 · DOI
  23. [25]Dandona P Exenatide increases IL-1RA concentration and induces Nrf-2-Keap-1-regulated antioxidant enzymes: Relevance to β-cell function J. Clin. Endocrinol. Metab. 2018 103 1180 1187 10.1210/jc.2017-02343 29346597 · DOI
  24. [26]Nezu M Suzuki N Yamamoto M Targeting the KEAP1-NRF2 system to prevent kidney disease progression Am. J. Nephrol. 2017 45 473 483 10.1159/000475890 28502971 · DOI · Paper page
  25. [27]Geng L Lam KSL Xu A The therapeutic potential of FGF21 in metabolic diseases: From bench to clinic Nat. Rev. Endocrinol. 2020 10.1038/s41574-020-0386-0 32764725 · DOI · Paper page
  26. [28]Liu J Liver-derived fibroblast growth factor 21 mediates effects of glucagon-like peptide-1 in attenuating hepatic glucose output EBioMedicine 2019 41 73 84 10.1016/j.ebiom.2019.02.037 30827929 PMC6443026 · DOI
  27. [29]Wu HY Diagnostic performance of random urine samples using albumin concentration vs ratio of albumin to creatinine for microalbuminuria screening in patients with diabetes mellitus: A systematic review and meta-analysis JAMA Intern. Med. 2014 174 1108 1115 10.1001/jamainternmed.2014.1363 24798807 · DOI

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Authors
Kang, C., Qiao, Q., Tong, Q., Bai, Q., Huang, C., Fan, R., Wang, H., Kaliannan, K., Wang, J., & Xu, J.
Affiliations
  • Chengdu Military General Hospital (CN)
  • Army Medical University (CN)
  • Harvard University (US)
Corresponding author
  • Wang, Jian
  • Xu, Jing
Venue
Scientific Reports
Published
2021-10-08
Volume
11
Issue
1
Pages
20062-20062
ISSN
2045-2322 (ISSN-L)
OpenAlex
W3203190814
Cited by
14
References
2
Citations by year
2026: 5 · 2025: 4 · 2024: 4 · 2022: 1
FWCI
0.93
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Chongqing Science and Technology Commission (ctstc2015shmszx120014)
  • Chongqing Xinqiao Hospital, Second Affiliated Hospital of Army Medical University (2014YLC20)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
  • Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
Keywords
exenatide, GLP-1 receptor agonists, type 2 diabetes, obesity, overweight, urinary albumin, albuminuria, renal function, FGF21, insulin glargine, glycemic control, inflammatory markers, lipid profile, correlation network analysis
MeSH terms
Exenatide, Blood Glucose, Diabetes Mellitus, Type 2, Female, Fibroblast Growth Factors, Follow-Up Studies, Glycated Hemoglobin, Humans, Hypoglycemic Agents, Male, Middle Aged, Obesity, Prognosis, Prospective Studies, Biomarkers, Case-Control Studies, Overweight

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