Abstract
Aims
The C-reactive protein-to-albumin ratio (CAR) has been reported as a novel prognostic marker in serious illness and various inflammatory diseases. The aim of this study is to investigate the association of CAR with incidence risk of type 2 diabetes in adults without chronic disease.
Methods
A total of 5904 participants aged 40 to 69 years were selected from the Korean Genome and Epidemiology Study who were observed over 12 years. Multivariable logistic regression was analyzed to examine the relationship between CAR tertiles and incident diabetes. The predictive power of new-onset diabetes by CAR and homeostasis model assessment-insulin resistance (HOMA-IR) were also measured using the random forest model.
Results
During a mean follow-up period of 7.6 years, 701 subjects (11.9%) developed diabetes. Compared with the lowest CAR group, the highest CAR group was associated with incidence of diabetes (OR 1.60; 95% CI 1.24–1.89) after adjustment for other potential confounding factors. In the random forest model, CAR did not show a significant difference in prediction of new-onset diabetes compared with HOMA-IR (p = 0.561).
Conclusions
CAR, which is a ratio of commonly used biomarkers and reflects both oxidative stress and antioxidants, is suggested as a predictor of incident diabetes.
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References
Zhou B, Lu Y, Hajifathalian K et al (2016) Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants. The Lancet 387:1513–1530. https://doi.org/10.1016/s0140-6736(16)00618-8
Zimmet P, Alberti KG, Magliano DJ, Bennett PH (2016) Diabetes mellitus statistics on prevalence and mortality: facts and fallacies. Nat Rev Endocrinol 12:616–622. https://doi.org/10.1038/nrendo.2016.105
Bae JC (2018) Trends of Diabetes Epidemic in Korea. Diabetes Metab J 42:377–379. https://doi.org/10.4093/dmj.2018.0194
Lontchi-Yimagou E, Sobngwi E, Matsha TE, Kengne AP (2013) Diabetes mellitus and inflammation. Curr Diab Rep 13:435–444. https://doi.org/10.1007/s11892-013-0375-y
Gkrania-Klotsas E, Ye Z, Cooper AJ et al (2010) Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies. PLoS ONE 5:e13405. https://doi.org/10.1371/journal.pone.0013405
Welsh P, Murray HM, Buckley BM et al (2009) Leptin predicts diabetes but not cardiovascular disease: results from a large prospective study in an elderly population. Diabetes Care 32:308–310. https://doi.org/10.2337/dc08-1458
Luotola K, Pietilä A, Zeller T et al (2011) Associations between interleukin-1 (IL-1) gene variations or IL-1 receptor antagonist levels and the development of type 2 diabetes. J Intern Med 269:322–332. https://doi.org/10.1111/j.1365-2796.2010.02294.x
Sattar N, Wannamethee SG, Forouhi NG (2008) Novel biochemical risk factors for type 2 diabetes: pathogenic insights or prediction possibilities? Diabetologia 51:926–940. https://doi.org/10.1007/s00125-008-0954-7
Dehghan A, Kardys I, de Maat MP et al (2007) Genetic variation, C-reactive protein levels, and incidence of diabetes. Diabetes 56:872–878. https://doi.org/10.2337/db06-0922
Don BR, Kaysen G (2004) Serum albumin: relationship to inflammation and nutrition. Semin Dial 17:432–437. https://doi.org/10.1111/j.0894-0959.2004.17603.x
Chang DC, Xu X, Ferrante AW Jr, Krakoff J (2019) Reduced plasma albumin predicts type 2 diabetes and is associated with greater adipose tissue macrophage content and activation. Diabetol Metab Syndr 11:14. https://doi.org/10.1186/s13098-019-0409-y
Abbasi A, Bakker SJ, Corpeleijn E et al (2012) Liver function tests and risk prediction of incident type 2 diabetes: evaluation in two independent cohorts. PLoS ONE 7:e51496. https://doi.org/10.1371/journal.pone.0051496
Ranzani OT, Zampieri FG, Forte DN, Azevedo LC, Park M (2013) C-reactive protein/albumin ratio predicts 90-day mortality of septic patients. PLoS ONE 8:e59321. https://doi.org/10.1371/journal.pone.0059321
Oh TK, Ji E, Na HS et al (2018) C-Reactive Protein to Albumin Ratio Predicts 30-Day and 1-Year Mortality in Postoperative Patients after Admission to the Intensive Care Unit. J Clin Med. https://doi.org/10.3390/jcm7030039
Kudou K, Saeki H, Nakashima Y et al (2019) C-reactive protein/albumin ratio is a poor prognostic factor of esophagogastric junction and upper gastric cancer. J Gastroenterol Hepatol 34:355–363. https://doi.org/10.1111/jgh.14442
Martin D, Rodel F, Balermpas P, Winkelmann R, Fokas E, Rodel C (2019) C-Reactive protein-to-albumin ratio as prognostic marker for anal squamous cell carcinoma treated with chemoradiotherapy. Front Oncol 9:1200. https://doi.org/10.3389/fonc.2019.01200
Qin G, Tu J, Liu L et al (2016) Serum Albumin and C-reactive protein/albumin ratio are useful biomarkers of crohn’s disease activity. Med Sci Monit 22:4393–4400. https://doi.org/10.12659/msm.897460
He Y, Tang J, Wu B, Yang B, Ou Q, Lin J (2020) Correlation between albumin to fibrinogen ratio, C-reactive protein to albumin ratio and Th17 cells in patients with rheumatoid arthritis. Clin Chim Acta 500:149–154. https://doi.org/10.1016/j.cca.2019.10.009
Kalyan S, Goshtesabi A, Sarray S, Joannou A, Almawi WY (2018) Assessing C reactive protein/albumin ratio as a new biomarker for polycystic ovary syndrome: a case-control study of women from Bahraini medical clinics. BMJ Open 8:e021860. https://doi.org/10.1136/bmjopen-2018-021860
Kim Y, Han BG (2017) Cohort profile: the Korean Genome and Epidemiology Study (KoGES) consortium. Int J Epidemiol 46:1350. https://doi.org/10.1093/ije/dyx105
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC (1985) Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28:412–419. https://doi.org/10.1007/bf00280883
American Diabetes Association (2018) 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2018. Diabetes Care 41:S13–S27. https://doi.org/10.2337/dc18-S002
Chowdhury MZI, Turin TC (2020) Variable selection strategies and its importance in clinical prediction modelling. Fam Med Community Health 8:e000262. https://doi.org/10.1136/fmch-2019-000262
Lee J, Jang H, Kim J, Min S (2019) Development of a suicide index model in general adolescents using the South Korea 2012–2016 national representative survey data. Sci Rep. https://doi.org/10.1038/s41598-019-38886-z
Moon JS, Ahn SS, Park YB, Lee SK, Lee SW (2018) C-Reactive protein to serum albumin ratio is an independent predictor of all-cause mortality in patients with ANCA-associated vasculitis. Yonsei Med J 59:865–871. https://doi.org/10.3349/ymj.2018.59.7.865
Luc K, Schramm-Luc A, Guzik TJ, Mikolajczyk TP (2019) Oxidative stress and inflammatory markers in prediabetes and diabetes. J Physiol Pharmacol. https://doi.org/10.26402/jpp.2019.6.01
Borné Y, Smith JG, Nilsson PM, Melander O, Hedblad B, Engström G (2016) Total and differential leukocyte counts in relation to incidence of diabetes mellitus: a prospective population-based cohort study. PLoS ONE 11:e0148963. https://doi.org/10.1371/journal.pone.0148963
Pradhan AD, Manson JE, Rifai N, Buring JE, Ridker PM (2001) C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. JAMA 286:327–334. https://doi.org/10.1001/jama.286.3.327
Hak AE, Pols HA, Stehouwer CD et al (2001) Markers of inflammation and cellular adhesion molecules in relation to insulin resistance in nondiabetic elderly: the Rotterdam study. J Clin Endocrinol Metab 86:4398–4405. https://doi.org/10.1210/jcem.86.9.7873
Liu T, Zhang L, Joo D, Sun SC (2017) NF-κB signaling in inflammation. Signal Transduct Target Ther 2:17023. https://doi.org/10.1038/sigtrans.2017.23
Yaribeygi H, Farrokhi FR, Butler AE, Sahebkar A (2019) Insulin resistance: review of the underlying molecular mechanisms. J Cell Physiol 234:8152–8161. https://doi.org/10.1002/jcp.27603
Faure P, Wiernsperger N, Polge C, Favier A, Halimi S (2008) Impairment of the antioxidant properties of serum albumin in patients with diabetes: protective effects of metformin. Clin Sci (Lond) 114:251–256. https://doi.org/10.1042/cs20070276
Rondeau P, Singh NR, Caillens H, Tallet F, Bourdon E (2008) Oxidative stresses induced by glycoxidized human or bovine serum albumin on human monocytes. Free Radic Biol Med 45:799–812. https://doi.org/10.1016/j.freeradbiomed.2008.06.004
Abbasi A, Peelen LM, Corpeleijn E et al (2012) Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study. BMJ 345:e5900
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We specially thank to Dr. T.S.Lee who gave scientific advice.
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Ethics approvals for the study protocol and analysis of the data were obtained from the Institutional Review Board of Yonsei University College of Medicine.
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Cho, AR., Lee, S., Hong, KW. et al. C-reactive protein-to-albumin ratio and 8‐year incidence of type 2 diabetes: the Korean genome and epidemiology study. Acta Diabetol 58, 1525–1532 (2021). https://doi.org/10.1007/s00592-021-01755-1
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DOI: https://doi.org/10.1007/s00592-021-01755-1