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Zinc-alpha2-glycoprotein, dysglycaemia and insulin resistance: a systematic review and meta-analysis.


ABSTRACT: To systematically review the current literature investigating associations between zinc-alpha2-glycoprotein (ZAG) and dysglycaemia (including type 2 diabetes (T2DM), poly-cystic-ovary syndrome (PCOS), pre-diabetes or insulin resistance). This included relationships between ZAG and continuous measures of insulin and glucose. Additionally, we performed a meta-analysis to estimate the extent that ZAG differs between individuals with or without dysglycaemia; whilst examining the potential influence of adiposity. A systematic search was performed on four databases for studies on circulating ZAG concentrations in adult human populations, comparing healthy controls to individuals with dysglycaemia. Key characteristics, including the mean ZAG concentrations (mg?L-1), and any correlational statistics between ZAG and continuous measures of glucose, glycated haemoglobin (HbA1c) or insulin were extracted. Meta-analyses were performed to compare metabolically healthy controls to cases, and on studies that compared controls and cases considered overweight or obese (body mass index (BMI) ?25 kg.m2). 1575 papers were identified and 14 studies (16 cohorts) were considered eligible for inclusion. Circulating ZAG was lower in individuals with dysglycaemia compared to metabolically healthy controls (-4.14 [-8.17, -0.11] mg.L-1; I2 =?98.5%; p?

SUBMITTER: Pearsey HM 

PROVIDER: S-EPMC7557496 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Zinc-alpha2-glycoprotein, dysglycaemia and insulin resistance: a systematic review and meta-analysis.

Pearsey Harriet M HM   Henson Joseph J   Sargeant Jack A JA   Davies Melanie J MJ   Khunti Kamlesh K   Suzuki Toru T   Bowden-Davies Kelly A KA   Cuthbertson Daniel J DJ   Yates Thomas E TE  

Reviews in endocrine & metabolic disorders 20201201 4


To systematically review the current literature investigating associations between zinc-alpha2-glycoprotein (ZAG) and dysglycaemia (including type 2 diabetes (T2DM), poly-cystic-ovary syndrome (PCOS), pre-diabetes or insulin resistance). This included relationships between ZAG and continuous measures of insulin and glucose. Additionally, we performed a meta-analysis to estimate the extent that ZAG differs between individuals with or without dysglycaemia; whilst examining the potential influence  ...[more]

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