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Leca BM, Kite C, Lagojda L, Davasgaium A, Dallaway A, Chatha KK, Randeva HS, Kyrou I. Retinol-binding protein 4 (RBP4) circulating levels and gestational diabetes mellitus: a systematic review and meta-analysis. Front Public Health 2024; 12:1348970. [PMID: 38532976 PMCID: PMC10964926 DOI: 10.3389/fpubh.2024.1348970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 02/15/2024] [Indexed: 03/28/2024] Open
Abstract
Background Gestational diabetes mellitus (GDM) is a prevalent condition where diabetes is diagnosed during pregnancy, affecting both maternal and fetal outcomes. Retinol-binding protein 4 (RBP4) is a circulating adipokine which belongs to the lipocalin family and acts as a specific carrier protein that delivers retinol (vitamin A) from the liver to the peripheral tissues. Growing data indicate that circulating RBP4 levels may positively correlate with GDM. Thus, this systematic review and meta-analysis aimed to investigate the potential relationship between circulating RBP4 levels and GDM when measured at various stages of pregnancy. Methods MEDLINE, CINAHL, EMCARE, EMBASE, Scopus, and Web of Science databases were searched to identify studies comparing pregnant women with and without GDM, whose circulating RBP4 levels were measured in at least one pregnancy trimester. Findings were reported using standardized mean difference (SMD) and random-effects models were used to account for variability among studies. Furthermore, the risk of bias was assessed using the RoBANS tool. Results Out of the 34 studies identified, 32 were included in the meta-analysis (seven with circulating RBP4 levels measured in the first trimester, 19 at 24-28 weeks, and 14 at >28 weeks of pregnancy). RBP4 levels were statistically higher in the GDM group than in controls when measured during all these pregnancy stages, with the noted RBP4 SMD being 0.322 in the first trimester (95% CI: 0.126-0.517; p < 0.001; 946 GDM cases vs. 1701 non-GDM controls); 0.628 at 24-28 weeks of gestation (95% CI: 0.290-0.966; p < 0.001; 1776 GDM cases vs. 1942 controls); and 0.875 at >28 weeks of gestation (95% CI: 0.252-1.498; p = 0.006; 870 GDM cases vs. 1942 non-GDM controls). Significant study heterogeneity was noted for all three pregnancy timepoints. Conclusion The present findings indicate consistently higher circulating RBP4 levels in GDM cases compared to non-GDM controls, suggesting the potential relevance of RBP4 as a biomarker for GDM. However, the documented substantial study heterogeneity, alongside imprecision in effect estimates, underscores the need for further research and standardization of measurement methods to elucidate whether RBP4 can be utilized in clinical practice as a potential GDM biomarker. Systematic review registration PROSPERO (CRD42022340097: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022340097).
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Affiliation(s)
- Bianca M. Leca
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Chris Kite
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- School of Health and Society, Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, United Kingdom
- Centre for Sport, Exercise and Life Sciences, Research Institute for Health and Wellbeing, Coventry University, Coventry, United Kingdom
- Chester Medical School, University of Chester, Shrewsbury, United Kingdom
| | - Lukasz Lagojda
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Clinical Evidence-Based Information Service (CEBIS), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Allan Davasgaium
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Alex Dallaway
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- School of Health and Society, Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, United Kingdom
| | - Kamaljit Kaur Chatha
- Department of Biochemistry and Immunology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Harpal S. Randeva
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
- Centre for Sport, Exercise and Life Sciences, Research Institute for Health and Wellbeing, Coventry University, Coventry, United Kingdom
- Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Ioannis Kyrou
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
- Centre for Sport, Exercise and Life Sciences, Research Institute for Health and Wellbeing, Coventry University, Coventry, United Kingdom
- Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Aston Medical School, College of Health and Life Sciences, Aston University, Birmingham, United Kingdom
- College of Health, Psychology and Social Care, University of Derby, Derby, United Kingdom
- Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Athens, Greece
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Du M, Liu J, Han N, Zhao Z, Luo S, Wang H. Exploring the mediating role of serum retinol-binding protein 4 in the relationship between sleep quality and insulin resistance in pregnant women. Diabetes Res Clin Pract 2021; 176:108866. [PMID: 34023339 DOI: 10.1016/j.diabres.2021.108866] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 02/19/2021] [Accepted: 05/18/2021] [Indexed: 11/26/2022]
Abstract
AIMS We aimed to explore the mediating role of plasma retinol-binding protein 4 (RBP4) in the relationship between sleep quality and insulin resistance (IR) among pregnant women. METHODS We conducted a cross-sectional study including 263 pregnant women in the first trimester. Sleep quality was evaluated by Pittsburgh Sleep Quality Index (PSQI). The ELISA and homeostasis model assessment (HOMA) was used to analyze plasma RBP4 and estimate IR. The mediating model was used to analyze the mediating role of RBP4 in the relationship between PSQI score and IR. RESULTS In the multivariable linear regression model, the three terms were positively related with each other, PSQI score was positively associated with IR levels (β = 0.55, p < 0.05). In the mediating model, RBP4 levels mediated completely the relationship between PSQI scores and IR levels (β = 0.29, p < 0.0001). The indirect effect of RBP4 in the relation between sleep quality and IR explained 89.10% of total effect. CONCLUSIONS RPB4 may play a complete mediating role in the relation between sleep quality and insulin resistance in early pregnancy. Improvements in sleep quality in the first trimester may provide a pathway to reduce plasma RBP4, which is beneficial for less IR and GDM prevention.
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Affiliation(s)
- Min Du
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University Health Science Center, Beijing 100191, China; Institute for Global Health and Development, Peking University, Beijing 100871, China.
| | - Na Han
- Maternal and Child Health Hospital of Tongzhou District, Beijing 101101, China
| | - Zhiling Zhao
- Maternal and Child Health Hospital of Tongzhou District, Beijing 101101, China
| | - Shusheng Luo
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Haijun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
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Bogdanet D, Reddin C, Murphy D, Doheny HC, Halperin JA, Dunne F, O’Shea PM. Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes-A Scoping Review. J Clin Med 2021; 10:jcm10071533. [PMID: 33917484 PMCID: PMC8038821 DOI: 10.3390/jcm10071533] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 04/02/2021] [Accepted: 04/02/2021] [Indexed: 02/06/2023] Open
Abstract
Introduction: Gestational diabetes (GDM), defined as hyperglycemia with onset or initial recognition during pregnancy, has a rising prevalence paralleling the rise in type 2 diabetes (T2DM) and obesity. GDM is associated with short-term and long-term consequences for both mother and child. Therefore, it is crucial we efficiently identify all cases and initiate early treatment, reducing fetal exposure to hyperglycemia and reducing GDM-related adverse pregnancy outcomes. For this reason, GDM screening is recommended as part of routine pregnancy care. The current screening method, the oral glucose tolerance test (OGTT), is a lengthy, cumbersome and inconvenient test with poor reproducibility. Newer biomarkers that do not necessitate a fasting sample are needed for the prompt diagnosis of GDM. The aim of this scoping review is to highlight and describe emerging protein biomarkers that fulfill these requirements for the diagnosis of GDM. Materials and Methods: This scoping review was conducted according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for scoping reviews using Cochrane Central Register of Controlled Trials (CENTRAL), the Cumulative Index to Nursing & Allied Health Literature (CINAHL), PubMed, Embase and Web of Science with a double screening and extraction process. The search included all articles published in the literature to July 2020. Results: Of the 3519 original database citations identified, 385 were eligible for full-text review. Of these, 332 (86.2%) were included in the scoping review providing a total of 589 biomarkers studied in relation to GDM diagnosis. Given the high number of biomarkers identified, three post hoc criteria were introduced to reduce the items set for discussion: we chose only protein biomarkers with at least five citations in the articles identified by our search and published in the years 2017-2020. When applied, these criteria identified a total of 15 biomarkers, which went forward for review and discussion. Conclusions: This review details protein biomarkers that have been studied to find a suitable test for GDM diagnosis with the potential to replace the OGTT used in current GDM screening protocols. Ongoing research efforts will continue to identify more accurate and practical biomarkers to take GDM screening and diagnosis into the 21st century.
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Affiliation(s)
- Delia Bogdanet
- College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33 Galway, Ireland;
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
- Correspondence: ; Tel.: +35-38-3102-7771
| | - Catriona Reddin
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Dearbhla Murphy
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Helen C. Doheny
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Jose A. Halperin
- Divisions of Haematology, Brigham & Women’s Hospital, Boston, MA 02115, USA;
| | - Fidelma Dunne
- College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33 Galway, Ireland;
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Paula M. O’Shea
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
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Tang M, Luo M, Lu W, Zhang R, Liang W, Gu J, Yu X, Zhang X, Hu C. Nerve growth factor is closely related to glucose metabolism, insulin sensitivity and insulin secretion in the second trimester: a case-control study in Chinese. Nutr Metab (Lond) 2020; 17:98. [PMID: 33292292 PMCID: PMC7678221 DOI: 10.1186/s12986-020-00523-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 11/10/2020] [Indexed: 01/31/2023] Open
Abstract
Objective Inflammation-related factors have been shown to play a significant role throughout pregnancy. In this study, we aimed to explore the relationships between selected inflammatory cytokines and gestational diabetes (GDM) in Chinese pregnant women.
Design and methods This was a 1:1 matched case–control study that included 200 pairs of subjects in the second trimester and 130 pairs of subjects in the third trimester. Serum levels of nerve growth factor (NGF), Interleukin-6 (IL-6), leptin, Interleukin-8 (IL-8), monocyte chemoattractant protein-1 (MCP-1), tumor necrosis factor-alpha (TNF-α) and Interleukin-1beta (IL-1β) were measured by enzyme immunoassay. The associations of these inflammatory factors with metabolic parameters were analysed. Results In the second trimester, GDM patients had higher NGF levels and lower IL-8 levels than did normal controls (P < 0.001 and P = 0.015, respectively). However, in the third trimester, only lower leptin levels were observed in the GDM group (P = 0.031). Additionally, in the second trimester, NGF levels were not only positively associated with fasting, 1-h and 2-h glucose levels and the area under curve of glucose, but also positively related to insulin sensitivity and secretion, as suggested by fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR) and homeostasis model assessment index of β-cell secretion (HOMA-β) (all P < 0.05). Moreover, IL-6 and leptin levels were positively correlated with HOMA-IR and HOMA-β, and TNF-α levels were positively related to HOMA-IR (all P < 0.05). Except for the relationships between NGF and HOMA-β and TNF-α and HOMA-IR, the other correlations still existed even after adjusting for confounding factors (all P < 0.05). Conclusion In addition to the positive associations of IL-6 and leptin with insulin resistance and secretion, NGF was higher in the GDM patients and strongly linked to glucose metabolism, insulin resistance and pancreatic β cell function in Chinese pregnant women in the second trimester.
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Affiliation(s)
- Mengyang Tang
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China
| | - Mingjuan Luo
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China.,Department of Endocrinology and Metabolism, University of Hong Kong Shenzhen Hospital, Shenzhen, China
| | - Wenqian Lu
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China
| | - Rong Zhang
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Wei Liang
- Department of Endocrinology and Metabolism, University of Hong Kong Shenzhen Hospital, Shenzhen, China
| | - Jianfen Gu
- Department of Endocrinology and Metabolism, University of Hong Kong Shenzhen Hospital, Shenzhen, China
| | - Xuemei Yu
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China
| | - Xueli Zhang
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China
| | - Cheng Hu
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China. .,Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China. .,Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
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