The correlation between proinsulin, true insulin, proinsulin: True insulin ratio, 25(OH) D3, waist circumference and risk of prediabetes in Hainan Han adults

Quan, Huibiao; Fang, Tuanyu; Lin, Leweihua; Lü, Lin; Ou, Qianying; Zhang, Huachuan; Chen, Kaining; Zhang, Zhou

doi:10.1371/journal.pone.0238095

Cited by 2 publications

(3 citation statements)

References 31 publications

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“…WC is considered to be one of the strongest risk factors for prediabetes. 58 It is also considered to be better than BMI for determining the risk of diabetes 43 although ADA guidelines suggest using BMI≥25 kg/m 2 criteria for screening diabetes for asymptomatic undiagnosed adults. 1 In the present study, WC was measured for all screened participants as it was one of the parameters of IDRS, 30 and weight and height were measured only for participants with prediabetes during their detailed data collection.…”

Section: Discussionmentioning

confidence: 99%

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Prevalence of prediabetes and associated factors of prediabetic stages: a cross-sectional study among adults in Nepal

Shakya

Shrestha

et al. 2022

BMJ Open

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ObjectivesTo estimate the prevalence of prediabetes and to assess the association of prediabetic stages with sociodemographic, lifestyle and clinical factorsDesignCross-sectional study at the screening and inclusion stage of a Diabetes Prevention Education Program (DiPEP) trialSettingThe study was conducted in two urban communities in Nepal (October 2019–March 2020).ParticipantsA total of 6222 residents of two study sites, aged 18–64 years and without a history of diabetes, were eligible for prediabetes screening. Exclusion criteria were pregnancy, history of diabetes and critical illness. A total of 291 participants with prediabetes were included in this study.Primary and secondary outcome measuresPrevalence of prediabetes based on glycated haemoglobin (HbA1c) criteria (5.7%–6.4%) was the primary outcome of the study. Odds Ratio and 95% CI were estimated to assess the associations between the outcome prediabetic stages (5.7%–5.9% vs 6.0%–6.4%) and sociodemographic, lifestyle and clinical factors in both unadjusted and adjusted models.ResultsOut of 6222 screened participants, 308 (5%, 95% CI: 4.4% to 5.5%) individuals were detected with prediabetes based on HbA1c. The mean age of 291 responded participants was 50.3±7.6 years and 67% were females. Among them, 78% aged 45–64 years, 97% had central obesity, 90% had high waist–hip ratio, 63% were hypertensive and 66% had no family history of diabetes. Approximately, 54% and 46% of individuals with prediabetes had HbA1c of 5.7%–5.9% and 6.0%–6.4%, respectively. Female gender was associated with prediabetes with HbA1c 6.0%–6.4% (OR, 1.98, 95% CI: 1.07 to 3.67) in the adjusted model.ConclusionThe estimated prevalence of prediabetes was 5% among screened participants, and female gender was associated with the prediabetic stage. As a large proportion of the population with prediabetes were not aware of their status, this study demonstrates a need for regular community screening programmes to detect individuals with prediabetes and provide them a comprehensive lifestyle intervention for diabetes prevention.Trial registration numberNCT04074148, 2019/783.

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Section: Discussionmentioning

confidence: 99%

“…WC is considered to be one of the strongest risk factors for prediabetes 58. It is also considered to be better than BMI for determining the risk of diabetes43 although ADA guidelines suggest using BMI≥25 kg/m 2 criteria for screening diabetes for asymptomatic undiagnosed adults 1.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of prediabetes and associated factors of prediabetic stages: a cross-sectional study among adults in Nepal

Shakya

Shrestha

et al. 2022

BMJ Open

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“…Manning et al also observed that 6 SNPs in COBLL1-GRB14, IRS1, PPP1R3B, PDGFC, UHRF1BP1, and LYPLAL1 are correlated with the FI level [19]. However, those SNPs explained only were associated with an increased risk of prediabetes [13]. Despite these findings, it is still unclear how these common phenotypes affect T2DM.…”

Section: Discussionmentioning

confidence: 99%

Genome-wide association study of fasting proinsulin, fasting insulin, 2-hour postprandial proinsulin, and 2-hour postprandial insulin in Chinese Han people

Lin

Quan²,

Fang³

et al. 2022

Endokrynol Pol

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Introduction:Fasting proinsulin (FPI) and fasting insulin (FI) have been demonstrated to be associated with impaired b-cell function, T2DM, and insulin resistance. This genome-wide association study (GWAS) was performed to contribute to our understanding of the genetic basis of FPI, FI, 2-hour postprandial proinsulin (2hPI), and 2-hour postprandial insulin (2hI) of the pathophysiology of prediabetes in the Chinese population. Material and methods:The levels of fasting plasma glucose (FPG), FPI, FI, 2hPI, and 2hI were examined by an automatic biochemical analyser. The Applied Biosystems TM Axiom TM Precision Medicine Diversity Array, the Gene Titan Multi-Channel instrument, and Axiom Analysis Suite 6.0 Software were used for genotyping. Imputation was performed with IMPUTE 2.0 software from HapMap, 1000 Genomes Phase 3 as a reference panel. Results: Six single nucleotide polymorphisms (SNPs) in DLG1-AS1, SORCS1, and CTAGE11P for FPI, and 27 SNPs in ZNF718, MARCHF2, and HNRNPM for 2hPI reached genome-wide significance. Genome-wide significance was reached for associations of 6 SNPs in KRT71 to FI. Also, 14 SNPs in UBE2U, ABO, and GRID1-AS1 were genome-wide significant in their relationship with 2hI. Among these, the genetic loci of CTAGE11P, MARCHF2, KRT71, and ABO have the strongest association with FPI, 2hPI, FI, and 2hI. Conclusions: The genetic variants of CTAGE11P, MARCHF2, KRT71, and ABO are significantly correlated with FPI, 2hPI, FI, and 2hI, respectively, in Chinese Han people. These genetic variants may serve as new biomarkers for the prevention of prediabetes.

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The correlation between proinsulin, true insulin, proinsulin: True insulin ratio, 25(OH) D3, waist circumference and risk of prediabetes in Hainan Han adults

Cited by 2 publications

References 31 publications

Prevalence of prediabetes and associated factors of prediabetic stages: a cross-sectional study among adults in Nepal

Prevalence of prediabetes and associated factors of prediabetic stages: a cross-sectional study among adults in Nepal

Genome-wide association study of fasting proinsulin, fasting insulin, 2-hour postprandial proinsulin, and 2-hour postprandial insulin in Chinese Han people

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