Correction to: Serum fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus

Ning, Hui; Hong, Tao; Weng, Zhanping; Zhao, Xianxian

doi:10.1007/s00592-018-1177-0

Cited by 2 publications

(1 citation statement)

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“…Also, the concentration of plasma fetuin‐A in GDM patients has been found to increase from the first to the second trimester of pregnancy [72]. Furthermore, the increased levels of VAP‐1 [73], VCAM‐1 [74], pregnancy‐associated plasma protein‐A2 [75], fatty acid‐binding protein 4 (FABP4) [76], plasma galanin [77], serum resistin [78], serum retinol‐binding protein 4 (RBP4) [79], monocyte‐chemoattractant‐protein‐1 (MCP‐1) [80], neutrophil gelatinase‐associated lipocalin (NGAL) [81], serum apelin‐36 [82], C‐reactive protein (CRP) [83] and decreased levels of vaspin [70], immune checkpoint molecule PD‐1 [84], adropin [85], apoproteins apoA2, apoC1, apoC3 and apoE [86] are associated with gestational diabetes.…”

Section: Proteins Fingerprints Of Gdmmentioning

confidence: 99%

Proteins and metabolites fingerprints of gestational diabetes mellitus forming protein–metabolite interactomes are its potential biomarkers

Chatterjee

Thakur

2023

Proteomics

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Gestational diabetes mellitus (GDM) is a consequence of glucose intolerance with an inadequate production of insulin that happens during pregnancy and leads to adverse health consequences for both mother and fetus. GDM patients are at higher risk for preeclampsia, and developing diabetes mellitus type 2 in later life, while the child born to GDM mothers are more prone to macrosomia, and hypoglycemia. The universally accepted diagnostic criteria for GDM are lacking, therefore there is a need for a diagnosis of GDM that can identify GDM at its early stage (first trimester). We have reviewed the literature on proteins and metabolites fingerprints of GDM. Further, we have performed protein-protein, metabolite-metabolite, and protein-metabolite interaction network studies on GDM proteins and metabolites fingerprints. Notably, some proteins and metabolites fingerprints are forming strong interaction networks at high confidence scores. Therefore, we have suggested that those proteins and metabolites that are forming protein-metabolite interactomes are the potential biomarkers of GDM. The protein-metabolite biomarkers interactome may help in a deep understanding of the prognosis, pathogenesis of GDM, and also detection of GDM. The protein-metabolites interactome may be further applied in planning future therapeutic strategies to promote long-term health benefits in GDM mothers and their children.

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Section: Proteins Fingerprints Of Gdmmentioning

confidence: 99%

Proteins and metabolites fingerprints of gestational diabetes mellitus forming protein–metabolite interactomes are its potential biomarkers

Chatterjee

Thakur

2023

Proteomics

View full text Add to dashboard Cite

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High Serum FABP4 Levels are Negatively Associated with the Reversion from Prediabetes to Normal Glucose Tolerance: A 2-Year Retrospective Cohort Community Study

Gu¹,

Lin²,

Gai³

et al. 2022

DMSO

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Objective To explore the relationship between the level of fatty acid-binding protein 4 (FABP4) and reversion from prediabetes to normal glucose tolerance (NGT). Methods A two-year retrospective cohort study was conducted on 398 participants with complete information. These 398 participants were divided into an NGT group and an abnormal glucose metabolism (AGM) group after 2 years of follow-up. The baseline level of FABP4 was determined, and the role of FABP4 in predicting reversion from prediabetes to NGT was investigated using an unconditional logistic regression model. Results Over the two-year follow-up period, 37.4% (149/398) of the participants reverted from prediabetes to NGT. The participants with AGM had a higher baseline level of FABP4 than those with NGT. The baseline level of FABP4 was significantly negatively correlated with reversion from prediabetes to NGT. After adjusting for age, sex, body mass index and waist-to-hip ratio, the level of fasting blood glucose (FBG) [odds ratio (OR) 0.336, 95% confidence interval (CI) (0.196–0.576)], 2-h post-challenge blood glucose (2hBG) [OR 0.697, 95% CI (0.581–0.837)], and FABP4 [OR 0.960, 95% CI (0.928–0.993)] at baseline were significant independent predictors of reversion from prediabetes to NGT. The area under the curve (AUC) value of the receiver operating characteristic curve for FABP4 was 0.605 (95% CI: 0.546–0.665), and the AUC for FABP4 combined with FBG and 2hBG was 0.716 (95% CI: 0.663–0.769). Conclusion A higher baseline level of FABP4 was positively correlated with an adverse profile of diabetes risk factors and negatively correlated with reversion from prediabetes to NGT. FABP4, FBG and 2hBG were predictors of reversion from prediabetes to NGT.

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Correction to: Serum fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus

Abstract: The title "Plasma fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus" should be replaced by "Serum fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus".

Cited by 2 publications

References 0 publications

Proteins and metabolites fingerprints of gestational diabetes mellitus forming protein–metabolite interactomes are its potential biomarkers

Proteins and metabolites fingerprints of gestational diabetes mellitus forming protein–metabolite interactomes are its potential biomarkers

High Serum FABP4 Levels are Negatively Associated with the Reversion from Prediabetes to Normal Glucose Tolerance: A 2-Year Retrospective Cohort Community Study

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