Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2018 Dec 30:2018:4986735.
doi: 10.1155/2018/4986735. eCollection 2018.

Osteocalcin Serum Levels in Gestational Diabetes Mellitus and Their Intrinsic and Extrinsic Determinants: Systematic Review and Meta-Analysis

Affiliations
Meta-Analysis

Osteocalcin Serum Levels in Gestational Diabetes Mellitus and Their Intrinsic and Extrinsic Determinants: Systematic Review and Meta-Analysis

Raigam J Martinez-Portilla et al. J Diabetes Res. .

Abstract

Background: Undercarboxylated osteocalcin (ucOC) increases insulin release and insulin resistance in mice. In humans, evidence is scarce but a correlation of ucOC and total osteocalcin (tOC) with glycemic status markers has been demonstrated. The relationship of ucOC and tOC with gestational diabetes mellitus (GDM) has been even less characterized.

Objective: To assess the mean difference of tOC and ucOC serum concentrations among nondiabetic pregnant women and women diagnosed as GDM in the second trimester of pregnancy and to determine the possible intrinsic and extrinsic contributors to this difference.

Methods: A systematic search was performed to identify relevant studies published in English and Spanish using PubMed, SCOPUS, ISI Web of Knowledge, and PROSPERO database for meta-analysis. Observational studies measuring mean serum levels of osteocalcin among GDM, with at least 10 subjects analyzed in each group were selected. Mean difference (MD) by random effects model was used. Heterogeneity between studies was assessed using Cochran's Q, H, and I 2 statistics.

Results: From 38 selected studies, 5 were retained for analysis for a total of 1119 pregnant women. Serum concentrations of tOC were not significantly different among women with GDM and nondiabetic pregnant controls (MD: 1.56; 95% CI: -0.70 to 3.82; p = 0.175). Meanwhile, ucOC serum levels were significantly higher among women with GDM (MD: 1.17; 95% CI: 0.24 to 2.11; p = 0.013). The only factor influencing tOC was the UV index, showing a reduction in mean difference between GDM and controls when exposed to higher concentrations of UV rays.

Conclusions: This meta-analysis provides evidence to support the use of ucOC as a potential marker for GDM rather than tOC, yielding very little variability among studies and no difference among methods or brands used for its analysis.

PubMed Disclaimer

Figures

Figure 1
Figure 1
PRISMA flow diagram of included studies.
Figure 2
Figure 2
Forest plot on the mean difference of tOC among GDM and nondiabetic pregnant controls.
Figure 3
Figure 3
Baujat plot for the mean difference and contribution to heterogeneity among studies measuring tOC.
Figure 4
Figure 4
Funnel plot for publication bias assessment among studies measuring tOC.
Figure 5
Figure 5
Cumulative forest plot among studies measuring tOC.
Figure 6
Figure 6
Metaregression on the pooled mean difference for tOC and the mean UV index.
Figure 7
Figure 7
Forest plot on the mean difference of ucOC among GDM and nondiabetic pregnant controls.
Figure 8
Figure 8
Baujat plot for the mean difference and contribution to heterogeneity among studies measuring ucOC.
Figure 9
Figure 9
Funnel plot for publication bias assessment among studies measuring ucOC.
Figure 10
Figure 10
Cumulative forest plot among studies measuring ucOC.
Figure 11
Figure 11
Forest plot for subgroup analysis on the methods used for measuring ucOC.

References

    1. Metzger B. E., Coustan D. R., Organizing Committee Summary and recommendations of the fourth international workshop-conference on gestational diabetes mellitus. Diabetes Care. 1998;21:B161–B167. - PubMed
    1. Djelmis J., Pavic M., Mulliqi Kotori V., Pavlic Renar I., Ivanisevic M., Oreskovic S. Prevalence of gestational diabetes mellitus according to IADPSG and NICE criteria. International Journal of Gynecology & Obstetrics. 2016;135(3):250–254. doi: 10.1016/j.ijgo.2016.07.005. - DOI - PubMed
    1. Farrar D., Simmonds M., Bryant M., et al. Hyperglycaemia and risk of adverse perinatal outcomes: systematic review and meta-analysis. BMJ. 2016;354, article i4694 doi: 10.1136/bmj.i4694. - DOI - PMC - PubMed
    1. Burlina S., Dalfrà M. G., Lapolla A. Short- and long-term consequences for offspring exposed to maternal diabetes: a review. The Journal of Maternal-Fetal & Neonatal Medicine. 2017;32(4):687–694. doi: 10.1080/14767058.2017.1387893. - DOI - PubMed
    1. Hauschka P. V., Lian J. B., Cole D. E., Gundberg C. M. Osteocalcin and matrix Gla protein: vitamin K-dependent proteins in bone. Physiological Reviews. 1989;69(3):990–1047. doi: 10.1152/physrev.1989.69.3.990. - DOI - PubMed

LinkOut - more resources