For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
14
views
21
references
 Top references
cited by
1
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      159
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Changes of Serum Zinc- α2-Glycoprotein Level and Analysis of Its Related Factors in Gestational Diabetes Mellitus

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Previous studies have discovered that zinc- α2-glycoprotein (ZAG) is related to insulin resistance and lipid metabolism. The aim of the study is to explore the change of serum ZAG and its related factors in gestational diabetes mellitus (GDM). Eighty newly diagnosed GDM patients were enrolled in the case group, and 80 normal pregnant women were selected as the control group. The differences of baseline data between the two groups were compared, and the change of serum ZAG level and its relationship with related indexes was analyzed. Compared to the control group, the level of serum ZAG in GDM women decreased ( P < 0.001). What is more, the serum ZAG level of overweight and normal subjects in two groups was also found to have statistical differences. The Pearson correlation (or Spearman correlation) analysis showed that serum ZAG level was negatively correlated with FPG, FINS, HOMA-IR, and TG (all P < 0.05) and positively correlated with HDL ( P < 0.05). Multiple linear regression showed that HDL and HOMA-IR were independent factors of serum ZAG ( P < 0.05). The level of serum ZAG in patients with gestational diabetes mellitus decreased, and HDL and HOMA-IR are the influencing factors in the case group.

          Related collections

          Most cited references21

          • Record: found
          • Abstract: found
          • Article: not found

          Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

          D. Matthews, J Hosker, A Rudenski … (1985)
          The steady-state basal plasma glucose and insulin concentrations are determined by their interaction in a feedback loop. A computer-solved model has been used to predict the homeostatic concentrations which arise from varying degrees beta-cell deficiency and insulin resistance. Comparison of a patient's fasting values with the model's predictions allows a quantitative assessment of the contributions of insulin resistance and deficient beta-cell function to the fasting hyperglycaemia (homeostasis model assessment, HOMA). The accuracy and precision of the estimate have been determined by comparison with independent measures of insulin resistance and beta-cell function using hyperglycaemic and euglycaemic clamps and an intravenous glucose tolerance test. The estimate of insulin resistance obtained by homeostasis model assessment correlated with estimates obtained by use of the euglycaemic clamp (Rs = 0.88, p less than 0.0001), the fasting insulin concentration (Rs = 0.81, p less than 0.0001), and the hyperglycaemic clamp, (Rs = 0.69, p less than 0.01). There was no correlation with any aspect of insulin-receptor binding. The estimate of deficient beta-cell function obtained by homeostasis model assessment correlated with that derived using the hyperglycaemic clamp (Rs = 0.61, p less than 0.01) and with the estimate from the intravenous glucose tolerance test (Rs = 0.64, p less than 0.05). The low precision of the estimates from the model (coefficients of variation: 31% for insulin resistance and 32% for beta-cell deficit) limits its use, but the correlation of the model's estimates with patient data accords with the hypothesis that basal glucose and insulin interactions are largely determined by a simple feed back loop.
          Article 0 comments Cited 1802 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Gestational diabetes mellitus

            Eman M. Alfadhli (2015)
            Gestational diabetes mellitus (GDM) is the most common medical complication of pregnancy. It is associated with maternal and neonatal adverse outcomes. Maintaining adequate blood glucose levels in GDM reduces morbidity for both mother and baby. There is a lack of uniform strategies for screening and diagnosing GDM globally. This review covers the latest update in the diagnosis and management of GDM. The initial treatment of GDM consists of diet and exercise. If these measures fail to achieve glycemic goals, insulin should be initiated. Insulin analogs are more physiological than human insulin, and are associated with less risk of hypoglycemia, and may provide better glycemic control. Insulin lispro, aspart, and detemir are approved to be used in pregnancy. Insulin glargine is not approved in pregnancy, but the existing studies did not show any contraindications. The use of oral hypoglycemic agents; glyburide and metformin seems to be safe and effective in pregnancy.
            Article 0 comments Cited 86 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Zinc-alpha2-glycoprotein is involved in regulation of body weight through inhibition of lipogenic enzymes in adipose tissue.

              Y Shi, Ying Deng, Feng Gong … (2009)
              Zinc-alpha2-glycoprotein (ZAG) was found to influence lipolysis in adipose tissue and has recently been proposed as a candidate factor in the regulation of body weight. To elucidate the association of serum ZAG level with body weight and percentage of body fat in normal, obese subjects and high-fat diet (HFD)-induced obese mice. The relationship between serum ZAG and obesity-related parameters was studied in 44 human subjects and 36 mice fed standard food and HFD. Furthermore, the effects of ZAG overexpression on adipose tissue of mice was also evaluated by using a liposome transfection method. Serum ZAG level was significantly lower in obese patients and obese mice in comparison to that in people and mice with normal weight. The further statistical analysis demonstrated that ZAG level was negatively correlated with body weight (r=-0.62, P<0.001), body mass index (r=-0.64, P<0.001), waist circumference(r=-0.68, P<0.001), hip circumference (r=-0.60, P<0.001), percentage of body fat (r=-0.52, P=0.03) and fat mass(r=-0.59, P=0.01) in human subjects after adjustment for age and sex. Furthermore, ZAG overexpression in mice reduced body weight and the percentage of epididymal fat. The decreased FAS, ACC1 and DGAT mRNA and the increased HSL mRNA were also observed in epididymal adipose tissue in ZAG overexpression mice. ZAG is closely linked to obesity. Serum ZAG level is inversely associated with body weight and percentage of body fat. The action of ZAG is associated with downregulated lipogenic enzymes and upregulated lipolytic enzyme expressions in adipose tissue of mice.
              Article 0 comments Cited 37 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Caiying Feng:
                ORCID: https://orcid.org/0000-0001-5668-9773
                Journal
                Journal ID (nlm-ta): J Diabetes Res
                Journal ID (iso-abbrev): J Diabetes Res
                Journal ID (publisher-id): JDR
                Title: Journal of Diabetes Research
                Publisher: Hindawi
                ISSN (Print): 2314-6745
                ISSN (Electronic): 2314-6753
                Publication date Collection: 2021
                Publication date (Electronic): 18 February 2021
                Volume: 2021
                Electronic Location Identifier: 8879786
                Affiliations
                1Department of Health, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
                2Department of Clinical Nutrition, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
                3Department of Obstetrics and Gynecology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan 450007, China
                4Department of Nutrition and Food Hygiene, School of Public Health, Zhengzhou University, Zhengzhou Henan 450001, China
                5Department of Financial, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
                Author notes

                Academic Editor: Xiaomu Kong

                Author information
                https://orcid.org/0000-0001-5792-240X
                https://orcid.org/0000-0003-2374-8487
                https://orcid.org/0000-0001-5148-201X
                https://orcid.org/0000-0002-5204-9186
                https://orcid.org/0000-0003-3275-2744
                https://orcid.org/0000-0002-3375-1076
                https://orcid.org/0000-0001-9863-3938
                https://orcid.org/0000-0002-0987-5060
                https://orcid.org/0000-0001-5668-9773
                Article
                DOI: 10.1155/2021/8879786
                PMC ID: 7910037
                SO-VID: b3214042-2dce-4641-8fcb-73b829bd54da
                Copyright © Copyright © 2021 Dongmei Xu et al.
                License:

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Date received : 11 September 2020
                Date revision received : 17 January 2021
                Date accepted : 6 February 2021
                Funding
                Funded by: Chinese Center for Disease Control and Prevention
                Award ID: 2019FYH004
                Categories
                Subject: Research Article

                Data availability:

                Comments

                Comment on this article

                scite_

                Similar content159

                See all similar

                Cited by1

                See all cited by

                Most referenced authors429

                See all reference authors