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Xiong W, Zeng ZH, Xu Y, Li H, Lin H. Circulating glycated albumin levels and gestational diabetes mellitus. World J Diabetes 2024; 15:1802-1810. [DOI: 10.4239/wjd.v15.i8.1802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 05/27/2024] [Accepted: 06/24/2024] [Indexed: 07/25/2024] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is characterized by glucose intolerance that is first diagnosed during pregnancy, making it the most common complication associated with this period. Early detection and targeted treatment of GDM can minimize foetal exposure to maternal hyperglycaemia and subsequently reduce the associated adverse pregnancy outcomes. Previous studies have inconsistently suggested that the level of glycated albumin (GA) might predict GDM.
AIM To review and synthesize existing evidence to evaluate the relationship between GA levels and the development of GDM.
METHODS We sought to compare GA levels between GDM and control groups in this meta-analysis by systematically searching the Web of Science, PubMed, Cochrane Library, and Embase databases for articles published up to June 2023. The analysis utilized the weighted mean difference (WMD) as the primary metric. The data were meticulously extracted, and the quality of the included studies was assessed. Additionally, we conducted a subgroup analysis based on study region and sample size. We assessed heterogeneity using I2 statistics and evaluated publication bias through funnel plots. Additionally, trim-and-fill analysis was employed to detect and address any potential publication bias.
RESULTS The meta-analysis included a total of 11 studies involving 5477 participants, comprising 1900 patients with GDM and 3577 control individuals. The synthesized results revealed a notable correlation between elevated GA levels and increased susceptibility to GDM. The calculated WMD was 0.42, with a 95% confidence interval (95%CI) ranging from 0.11 to 0.74, yielding a P value less than 0.001. Concerning specific GA levels, the mean GA level in the GDM group was 12.6, while for the control group, it was lower, at 11.6. This discrepancy underscores the potential of GA as a biomarker for assessing GDM risk. Moreover, we explored the levels of glycated haemoglobin (HbA1c) in both cohorts. The WMD for HbA1c was 0.19, with a 95%CI ranging from 0.15 to 0.22 and a P value less than 0.001. This observation suggested that both GA and HbA1c levels were elevated in individuals in the GDM group compared to those in the control group.
CONCLUSION Our meta-analysis revealed a substantial correlation between elevated GA levels and increased GDM risk. Furthermore, our findings revealed elevated levels of HbA1c in GDM patients, emphasizing the significance of monitoring both GA and HbA1c levels for early GDM detection and effective management.
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Affiliation(s)
- Wei Xiong
- Department of Medical, Hunan Traditional Chinese Medical College, Zhuzhou 412012, Hunan Province, China
| | - Zhao-Hui Zeng
- Department of Medical, Hunan Traditional Chinese Medical College, Zhuzhou 412012, Hunan Province, China
| | - Yuan Xu
- Department of Outpatient, Zhuzhou Second Hospital, Zhuzhou 412012, Hunan Province, China
| | - Hui Li
- Department of Medical, Hunan Traditional Chinese Medical College, Zhuzhou 412012, Hunan Province, China
| | - Hui Lin
- Department of Medical, Hunan Traditional Chinese Medical College, Zhuzhou 412012, Hunan Province, China
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2
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Soffer MD, James KE, Thaweethai T, Callahan M, Barth WH, Powe CE. Glycated Albumin and Glycemia in Pregnancy and Postpartum: A Pilot Study. Am J Perinatol 2024; 41:115-121. [PMID: 37640051 DOI: 10.1055/s-0043-1772746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
OBJECTIVE Percent glycated albumin (%GAlb) is a marker of glycemia over the past 2 to 3 weeks in nonpregnant individuals. Longitudinal changes in %GAlb extending throughout pregnancy and postpartum (PP) have not been described. We aimed to describe levels of %GAlb throughout pregnancy and PP and relationships with glycemia. STUDY DESIGN Fifty women among those in the Study of Pregnancy Regulation of INsulin and Glucose cohort underwent 75-g oral glucose tolerance tests (OGTTs) at a mean of 13 weeks (V1) and 26 weeks (V2) of gestation and 11 weeks' PP. %GAlb was measured on frozen plasma samples. RESULTS Total albumin decreased from V1 to V2 and increased PP to levels higher than at V1. %GAlb declined between V1 and V2 (β = - 0.63% 95% CI [-0.8, -0.6] p < 0.001) and remained stable between V2 and PP (β = - 0.04% [-0.3, 0.2] p = 0.78). Body mass index (BMI) was inversely related to %GAlb in pregnancy (V1: rho = - 0.5, p = 0.0001; V2 rho = - 0.4, p = 0.006), but not PP (rho = - 0.15, p = 0.31). The longitudinal changes in %GAlb persisted after adjusting for BMI. Neither glycemia measurements nor hemoglobin A1c were associated with %GAlb at any time point, and adjustments for BMI did not reveal additional associations. CONCLUSION %GAlb decreases between early and late gestation and remains decreased PP, despite a PP increase in total albumin above early pregnancy values. Given the lack of correlation with OGTT values or A1c, %GAlb is unlikely to be useful in assessing glycemia in pregnant or PP women. KEY POINTS · Changes in %GAlb extending to the postpartum period have not been described.. · %GAlb decreases in pregnancy and remains decreased postpartum, despite a postpartum increase in total albumin above early pregnancy values.. · Glycemia measurements nor A1c were associated with %GAlb at any time point, therefore, %GAlb is unlikely to be useful in assessing glycemia in pregnant or postpartum women..
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Affiliation(s)
- Marti D Soffer
- Harvard Medical School, Boston, Massachusetts
- Division of Maternal Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts
| | - Kaitlyn E James
- Harvard Medical School, Boston, Massachusetts
- Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts
- Deborah Kelly Center for Outcomes Research, Massachusetts General Hospital, Boston, Massachusetts
| | - Tanayott Thaweethai
- Harvard Medical School, Boston, Massachusetts
- Department of Biostatistics, Biostatistics, Massachusetts General Hospital, Boston, Massachusetts
| | - Michael Callahan
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - William H Barth
- Harvard Medical School, Boston, Massachusetts
- Division of Maternal Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts
| | - Camille E Powe
- Harvard Medical School, Boston, Massachusetts
- Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts
- Department of Biostatistics, Biostatistics, Massachusetts General Hospital, Boston, Massachusetts
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts
- Broad Institute, Cambridge, Massachusetts
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Gleason B, Kuang A, Bain JR, Muehlbauer MJ, Ilkayeva OR, Scholtens DM, Lowe WL. Association of Maternal Metabolites and Metabolite Networks with Newborn Outcomes in a Multi-Ancestry Cohort. Metabolites 2023; 13:metabo13040505. [PMID: 37110162 PMCID: PMC10145069 DOI: 10.3390/metabo13040505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 03/23/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
The in utero environment is important for newborn size at birth, which is associated with childhood adiposity. We examined associations between maternal metabolite levels and newborn birthweight, sum of skinfolds (SSF), and cord C-peptide in a multinational and multi-ancestry cohort of 2337 mother–newborn dyads. Targeted and untargeted metabolomic assays were performed on fasting and 1 h maternal serum samples collected during an oral glucose tolerance test performed at 24–32 week gestation in women participating in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Anthropometric measurements were obtained on newborns at birth. Following adjustment for maternal BMI and glucose, per-metabolite analyses demonstrated significant associations between maternal metabolite levels and birthweight, SSF, and cord C-peptide. In the fasting state, triglycerides were positively associated and several long-chain acylcarnitines were inversely associated with birthweight and SSF. At 1 h, additional metabolites including branched-chain amino acids, proline, and alanine were positively associated with newborn outcomes. Network analyses demonstrated distinct clusters of inter-connected metabolites significantly associated with newborn phenotypes. In conclusion, numerous maternal metabolites during pregnancy are significantly associated with newborn birthweight, SSF, and cord C-peptide independent of maternal BMI and glucose, suggesting that metabolites in addition to glucose contribute to newborn size at birth and adiposity.
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Toft JH, Bleskestad IH, Skadberg Ø, Gøransson LG, Økland I. Glycated albumin in pregnancy: LC-MS/MS-based reference interval in healthy, nulliparous Scandinavian women and its diagnostic accuracy in gestational diabetes mellitus. Scandinavian Journal of Clinical and Laboratory Investigation 2022; 82:123-131. [PMID: 35148229 DOI: 10.1080/00365513.2022.2033827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Glycated albumin (GA) may be a useful biomarker of glycemia in pregnancy. The aim of this study was to establish the reference interval (RI) for GA, analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS), in healthy, nulliparous pregnant women. In addition, we assessed the accuracy of GA and glycated hemoglobin A1c (HbA1c) in the diagnosis of gestational diabetes mellitus (GDM). Finally, we explored the prevalence of GDM in healthy nulliparas, comparing three diagnostic guidelines (WHO-1999, WHO-2013 and the Norwegian guideline). The study was carried out at Stavanger University Hospital, Norway, and included a study population of 147 pregnant nulliparous women. An oral glucose tolerance test (OGTT) was performed and used as the gold standard for GDM diagnosis. Blood samples for analysis of GA and HbA1c were collected at pregnancy week 24-28. A nonparametric approach was chosen for RI calculation, and receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of GA and HbA1c. The established RI for GA in 121 pregnant women was 7.1-11.6%. The area under the ROC curves (AUCs) were 0.531 (GA) and 0.627 (HbA1c). According to the WHO-1999, WHO-2013 and the Norwegian guideline, respectively, 24 (16%), 36 (24%) and 21 (14%) women were diagnosed with GDM. Only nine women (6%) fulfilled the GDM-criteria of all guidelines. In conclusion, we established the first LC-MS/MS-based RI for GA in pregnant women. At pregnancy weeks 24-28, neither GA nor HbA1c discriminated between those with and without GDM. Different women were diagnosed with GDM using the three guidelines.
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Affiliation(s)
- Johanne Holm Toft
- Department of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - Øyvind Skadberg
- Department of Medical Biochemistry, Stavanger University Hospital, Stavanger, Norway
| | - Lasse Gunnar Gøransson
- Department of Internal Medicine, Stavanger University Hospital, Stavanger, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Inger Økland
- Department of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway.,Department of Caring and Ethics, University of Stavanger, Stavanger, Norway
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Chume FC, Renz PB, Hernandez MK, Freitas PAC, Camargo JL. Is there a role for glycated albumin in the diagnosis of gestational diabetes mellitus? Endocrine 2021; 72:681-687. [PMID: 33719011 DOI: 10.1007/s12020-021-02673-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 02/24/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Studies in the general population have advocated glycated albumin (GA) as a useful alternative to glycated haemoglobin (HbA1c) under conditions wherein the latter does not reflect glycaemic status accurately. There are few studies in other populations, especially in pregnant women. Therefore, the aim of this study was to assess the clinical utility of GA in the diagnosis of gestational diabetes mellitus (GDM). MATERIALS AND METHODS This diagnostic test accuracy study was performed in 149 Brazilian women at 24-28 weeks of gestation referred for an oral glucose tolerance test (OGTT) in a tertiary university hospital. Receiver Operating Characteristic (ROC) curves were used to access the performance of GA and HbA1c in the diagnosis of GDM by the reference OGTT. RESULTS GDM by OGTT (IADPSG criteria) was detected in 18.8% of participants. According to ROC analysis, the area under the curve (AUC) for GA was 0.531 (95% CI: 0.405-0.658, p = 0.065) lower than that for HbA1c [0.743 (95% CI: 0.636-0.849; p ≤ 0.001] for the detection of GDM (p = 0.004). The equilibrium cut-off value for GA was 12.6%; sensitivity and specificity in this cut-off point were 53.6% and 54.2%, respectively. CONCLUSIONS GA at 24-28 weeks of gestation does not have ability to correctly discriminate those with and without GDM. In summary, the lack of sensitivity found in our results do not support the solely use of GA in the diagnosis of GDM.
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Affiliation(s)
- Fernando Chimela Chume
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul Porto Alegre, Porto Alegre, RS, 90035-003, Brazil
- Faculty of Health Sciences, Universidade Zambeze, Beira, Mozambique
| | - Paula Breitenbach Renz
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul Porto Alegre, Porto Alegre, RS, 90035-003, Brazil
| | - Mayana Kieling Hernandez
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul Porto Alegre, Porto Alegre, RS, 90035-003, Brazil
| | - Priscila Aparecida Correa Freitas
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul Porto Alegre, Porto Alegre, RS, 90035-003, Brazil
- Laboratory Diagnosis Division, Clinical Biochemistry Unit, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, 90035-006, Brazil
| | - Joíza Lins Camargo
- Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul Porto Alegre, Porto Alegre, RS, 90035-003, Brazil.
- Endocrinology Division and Experimental Research Centre, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, 90035-006, Brazil.
- Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
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Liu X, Wu N, Al-Mureish A. A Review on Research Progress in the Application of Glycosylated Hemoglobin and Glycated Albumin in the Screening and Monitoring of Gestational Diabetes. Int J Gen Med 2021; 14:1155-1165. [PMID: 33833555 PMCID: PMC8019620 DOI: 10.2147/ijgm.s296316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 03/08/2021] [Indexed: 12/16/2022] Open
Abstract
Glycosylated hemoglobin (HbA1C) and glycated albumin (GA) can be used for blood glucose management of a person with diabetes as a result of their convenience and stability. However, there is no corresponding standard for the application of glycosylated hemoglobin and glycosylated albumin in gestational diabetes mellitus (GDM). In this review, we summarize the published research and discuss three aspects of the significance of HBA1C and GA in GDM patients: screening of gestational diabetes mellitus, blood glucose monitoring and the relationship with pregnancy outcome. At present, studies suggest that HBA1C can be used as a screening indicator for pregnant women, but it cannot completely replace OGTT. HbA1C and GA can be used for blood glucose management in patients with GDM to reduce the incidence of GDM complications. However, the application of HBA1C and GA in GDM still needs more research and clinical practice support.
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Affiliation(s)
- Xinyan Liu
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Na Wu
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.,Clinical Skills Practice Teaching Center, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
| | - Abdulrahman Al-Mureish
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China
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7
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Gobor LC, Volanski W, Boritza KC, Souza SWD, Anghebem MIAMI, Picheth G, Rego FGDM. Evaluation of 1,5-Anhydroglucitol as a Biomarker for Type 2 Diabetes Mellitus in Patients without Overt Nephropathy. BRAZ J PHARM SCI 2021. [DOI: 10.1590/s2175-97902020000419078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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8
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Dong Y, Zhai Y, Wang J, Chen Y, Xie X, Zhang C, Liu J, Lu Y, Tang G, Han L, Li L, Cao Z. Glycated albumin in pregnancy: reference intervals establishment and its predictive value in adverse pregnancy outcomes. BMC Pregnancy Childbirth 2020; 20:12. [PMID: 31900124 PMCID: PMC6942295 DOI: 10.1186/s12884-019-2704-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 12/24/2019] [Indexed: 12/11/2022] Open
Abstract
Background Many efforts have been focused on the alternative glycemic marker glycated albumin (GlyA) and its application in pregnancy during which profound physiological changes take place. Our objective was to determine the reference intervals (RIs) of GlyA in healthy Chinese pregnant women and to assess the predictive value of serum GlyA in adverse pregnancy outcomes. Methods Totally 421 healthy subjects including 137 in the first trimester, 152 in the second trimester, and 132 in the third trimester were enrolled from March to July 2019, for the purpose of establishing the trimester-specific RIs of GlyA. In addition, 67 pregnant women diagnosed with GDM were enrolled at 24–28 weeks of gestation. The diagnostic value of GlyA for GDM patients was evaluated and compared with that of fasting plasma glucose (FPG) at 24–28 weeks of gestation. The association between GlyA in the late pregnancy and the adverse pregnancy outcomes was analyzed with the data collected from January to June 2018 at our hospital. Results The estimated RIs of GlyA in present study were 11.26–15.10%, 10.04–13.50%, and 9.76–13.09% in the first, second, and third trimesters respectively. The areas under receiver operating characteristic (ROC) curves were 0.503 for GlyA and 0.705 for FPG. More importantly, the GlyA level in the third trimester was not more elevated in the patients with adverse pregnancy outcomes including large for gestational age (LGA), preterm delivery, hypertension and preeclampsia (PE). The exception was made with the GDM patients who suffered from postpartum hemorrhage and had significantly higher GlyA levels than the control group. Conclusions Our results showed that the GlyA was continuously decreased as the gestational age went up. The GlyA testing has limited value in diagnosing GDM and predicting adverse pregnancy outcomes.
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Affiliation(s)
- Ying Dong
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yaojiayuan Road, Beijing, 100026, China
| | - Yanhong Zhai
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yaojiayuan Road, Beijing, 100026, China
| | - Jing Wang
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yaojiayuan Road, Beijing, 100026, China
| | - Yi Chen
- Obstetrical Department, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Xin Xie
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yaojiayuan Road, Beijing, 100026, China
| | - Chunhong Zhang
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yaojiayuan Road, Beijing, 100026, China
| | - Jingrui Liu
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yaojiayuan Road, Beijing, 100026, China
| | - Yifan Lu
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yaojiayuan Road, Beijing, 100026, China
| | - Guodong Tang
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yaojiayuan Road, Beijing, 100026, China.,Prenatal Diagnosis Center, Beijing Haidian Maternal and Child Health Hospital, Beijing, China
| | - Lican Han
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yaojiayuan Road, Beijing, 100026, China
| | - Lin Li
- Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Zheng Cao
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 251 Yaojiayuan Road, Beijing, 100026, China.
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Gan WZ, Ramachandran V, Lim CSY, Koh RY. Omics-based biomarkers in the diagnosis of diabetes. J Basic Clin Physiol Pharmacol 2019; 31:/j/jbcpp.ahead-of-print/jbcpp-2019-0120/jbcpp-2019-0120.xml. [PMID: 31730525 DOI: 10.1515/jbcpp-2019-0120] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 10/07/2019] [Indexed: 02/06/2023]
Abstract
Diabetes mellitus (DM) is a group of metabolic diseases related to the dysfunction of insulin, causing hyperglycaemia and life-threatening complications. Current early screening and diagnostic tests for DM are based on changes in glucose levels and autoantibody detection. This review evaluates recent studies on biomarker candidates in diagnosing type 1, type 2 and gestational DM based on omics classification, whilst highlighting the relationship of these biomarkers with the development of diabetes, diagnostic accuracy, challenges and future prospects. In addition, it also focuses on possible non-invasive biomarker candidates besides common blood biomarkers.
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Affiliation(s)
- Wei Zien Gan
- Division of Applied Biomedical Science and Biotechnology, School of Health Sciences, International Medical University, 57000 Kuala Lumpur, Malaysia
| | - Valsala Ramachandran
- Division of Applied Biomedical Science and Biotechnology, School of Health Sciences, International Medical University, 57000 Kuala Lumpur, Malaysia
| | - Crystale Siew Ying Lim
- Department of Biotechnology, Faculty of Applied Sciences, UCSI University Kuala Lumpur, 56000 Kuala Lumpur, Malaysia
| | - Rhun Yian Koh
- Division of Applied Biomedical Science and Biotechnology, School of Health Sciences, International Medical University, 57000 Kuala Lumpur, Malaysia, Phone: +60327317207
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Yu Y, Yan Q, Li H, Li H, Wang L, Wang H, Zhang Y, Xu L, Tang Z, Yan X, Chen Y, He H, Chen J, Feng B. Effects of mobile phone application combined with or without self-monitoring of blood glucose on glycemic control in patients with diabetes: A randomized controlled trial. J Diabetes Investig 2019; 10:1365-1371. [PMID: 30815973 PMCID: PMC6717828 DOI: 10.1111/jdi.13031] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 02/14/2019] [Accepted: 02/25/2019] [Indexed: 12/29/2022] Open
Abstract
AIMS/INTRODUCTION There is potential for mobile applications to deliver new self-management interventions for chronic disease, especially in diabetes. The aim of the present study was to evaluate the effects of a mobile phone application (MPA) combined with or without self-monitoring of blood glucose (SMBG) on glycemic control in patients with diabetes. MATERIALS AND METHODS The study was a 24-week period, four-arm parallel group, non-blinded, randomized trial. A total of 185 patients with mean age of 52 years were randomized to group A (no MPA and no SMBG), group B (SMBG only), group C (MPA only) and group D (both MPA and SMBG were used). Changes in glycated hemoglobin (HbA1c), fasting plasma glucose and 1,5-anhydroglucitol from baseline to week 24 were analyzed. RESULTS At 24 weeks, the HbA1c levels in patients of all groups decreased significantly from baseline. There were significant differences in the proportions of patients that achieved HbA1c <7% between groups, especially in group C and group D, compared with group A at week 24 (60.4%, 62.2% vs 25.5%, all P < 0.05). 1,5-Anhydroglucitol changes were obvious in group A and group C at week 24 from baseline (all P < 0.05 within groups). Factorial analysis of anova showed that MPA intervention was the main effective factor for HbA1c change (F = 4.59, P = 0.034), and there was no effect on HbA1c change for SMBG intervention (P = 0.975). CONCLUSIONS Implementation of the MPA, Diabetes-Carer, is effective in improving the proportion of HbA1c <7% in patients with type 2 diabetes.
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Affiliation(s)
- Yuan Yu
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Qun Yan
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Huizhi Li
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Hongmei Li
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Lin Wang
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Hua Wang
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Yiyun Zhang
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Lei Xu
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Zhaosheng Tang
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Xinfeng Yan
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Yinghua Chen
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Huili He
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Jie Chen
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Bo Feng
- Department of EndocrinologyShanghai East HospitalTongji University School of MedicineShanghaiChina
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11
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Yazar A, Akın F, Akça ÖF, Eklioğlu BS, Türe E, Coşkun F, Atabek ME. The effect of attention deficit/hyperactivity disorder and other psychiatric disorders on the treatment of pediatric diabetes mellitus. Pediatr Diabetes 2019; 20:345-352. [PMID: 30652399 DOI: 10.1111/pedi.12819] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 11/01/2018] [Accepted: 12/17/2018] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE Psychiatric diagnoses of patients with type 1 diabetes mellitus (T1DM), the severity of attention deficit/hyperactivity disorder (ADHD) symptoms of the patients and their primary caregivers, and the effects of these factors on treatment were investigated. METHODS Sixty-one patients with T1DM were included in the study along with their parents. Psychiatric diagnoses of the patients were determined using a semistructured psychiatric interview, and their depression and ADHD symptom severities were evaluated with self-report scales. The ADHD symptom severities of the parents were evaluated using self-report scales. The relationships among the psychiatric symptoms and the hemoglobin A1c (HbA1c), fasting blood glucose (FBG), and postprandial blood glucose (PBG) levels of the patients were investigated. RESULTS HbA1c levels were found to correlate with the hyperactivity levels of children and the number of diagnoses they had. FBG and PBG values of patients diagnosed with ADHD were found to be higher than in those who did not have ADHD. HbA1c, FBG, and PBG values of the patients who had any disruptive behavior disorder were found to be higher than in those who did not. ADHD total scores, gender (being female), having diagnoses of ADHD or depression were found to be predictive of HbA1c levels according to the regression analyses. No relationship between the clinical findings of the children and their parents' ADHD levels was found. CONCLUSIONS The findings of this study implicate that children with T1DM should be evaluated in terms of ADHD which could have negative effects on the treatment.
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Affiliation(s)
- Abdullah Yazar
- Department of Pediatrics, Meram Medical Faculty, Necmettin Erbakan University, Konya, Turkey
| | - Fatih Akın
- Department of Pediatrics, Meram Medical Faculty, Necmettin Erbakan University, Konya, Turkey
| | - Ömer F Akça
- Department of Child and Adolescent Psychiatry, Meram Medical Faculty, Necmettin Erbakan University, Konya, Turkey
| | - Beray S Eklioğlu
- Department of Pediatric Endocrinology and Diabetes, Meram Medical Faculty, Necmettin Erbakan University, Konya, Turkey
| | - Esra Türe
- Department of Pediatrics, Meram Medical Faculty, Necmettin Erbakan University, Konya, Turkey
| | - Fatma Coşkun
- Department of Child and Adolescent Psychiatry, Meram Medical Faculty, Necmettin Erbakan University, Konya, Turkey
| | - Mehmet E Atabek
- Department of Pediatric Endocrinology and Diabetes, Meram Medical Faculty, Necmettin Erbakan University, Konya, Turkey
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Zheng Y, Shen Y, Jiang S, Ma X, Hu J, Li C, Huang Y, Teng Y, Bao Y, Zhou J, Hu G, Tao M. Maternal glycemic parameters and adverse pregnancy outcomes among high-risk pregnant women. BMJ Open Diabetes Res Care 2019; 7:e000774. [PMID: 31798901 PMCID: PMC6861069 DOI: 10.1136/bmjdrc-2019-000774] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 10/10/2019] [Accepted: 10/16/2019] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE We aimed to investigate the association between maternal glycemic parameters and adverse pregnancy outcomes among high-risk pregnant women. RESEARCH DESIGN AND METHODS A total of 1976 high-risk pregnant women were enrolled between 2015 and 2017. All participants received a 75 g oral glucose tolerance test during the 24-30 gestational weeks and complete birth and delivery information was collected. Adverse pregnancy outcomes were defined as premature birth, birth weight >90th percentile, primary cesarean section, and pre-eclampsia. Logistic regression models were used to assess the association between five maternal glycemic parameters during pregnancy (fasting glucose, 1-hour glucose, 2-hour glucose, HbA1c, and serum 1,5-anhydroglucitol (1,5-AG)) and adverse pregnancy outcomes. RESULTS Of 1976 participants, 498 were diagnosed with gestational diabetes. The multivariable-adjusted ORs of adverse pregnancy outcomes for each one unit increase (1 mmol/L, 1%, or 1 µg/mL) were 2.32 (95% CI 1.85 to 2.92) for fasting glucose, 1.07 (95% CI 1.01 to 1.15) for 1-hour glucose, 1.03 (95% CI 0.96 to 1.10) for 2-hour glucose, 1.77 (95% CI 1.34 to 2.33) for HbA1c, and 0.96 (95% CI 0.94 to 0.98) for 1,5-AG, respectively. When all five glycemic parameters were simultaneously entered into the multivariable-adjusted model, only fasting glucose was significantly associated with total and individual adverse pregnancy outcomes. Receiver operating characteristic curve showed that fasting glucose plus any one of other four glycemic parameters had significantly enhanced the sensitivity of detecting adverse pregnancy outcomes. CONCLUSIONS Fasting glucose at 24-30 gestational weeks was strongly associated with adverse pregnancy outcomes. Fasting glucose combined with one additional glycemic measurement showed non-inferiority indicating that post-load glycemic measurement was not necessary in detecting adverse pregnancy outcomes among high-risk pregnant women.
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Affiliation(s)
- Yanwei Zheng
- Department of Obstetric and Gynaecology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yun Shen
- Chronic Disease Epidemiology, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Susu Jiang
- Department of Obstetric and Gynaecology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Jiangshan Hu
- Department of Obstetric and Gynaecology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Changbin Li
- Department of Obstetric and Gynaecology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yajuan Huang
- Department of Obstetric and Gynaecology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yincheng Teng
- Department of Obstetric and Gynaecology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Jian Zhou
- Chronic Disease Epidemiology, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
- Department of Endocrinology and Metabolism, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Gang Hu
- Chronic Disease Epidemiology, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Minfang Tao
- Department of Obstetric and Gynaecology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
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Giri B, Dey S, Das T, Sarkar M, Banerjee J, Dash SK. Chronic hyperglycemia mediated physiological alteration and metabolic distortion leads to organ dysfunction, infection, cancer progression and other pathophysiological consequences: An update on glucose toxicity. Biomed Pharmacother 2018; 107:306-328. [PMID: 30098549 DOI: 10.1016/j.biopha.2018.07.157] [Citation(s) in RCA: 198] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 07/15/2018] [Accepted: 07/31/2018] [Indexed: 02/09/2023] Open
Abstract
Chronic exposure of glucose rich environment creates several physiological and pathophysiological changes. There are several pathways by which hyperglycemia exacerbate its toxic effect on cells, tissues and organ systems. Hyperglycemia can induce oxidative stress, upsurge polyol pathway, activate protein kinase C (PKC), enhance hexosamine biosynthetic pathway (HBP), promote the formation of advanced glycation end-products (AGEs) and finally alters gene expressions. Prolonged hyperglycemic condition leads to severe diabetic condition by damaging the pancreatic β-cell and inducing insulin resistance. Numerous complications have been associated with diabetes, thus it has become a major health issue in the 21st century and has received serious attention. Dysregulation in the cardiovascular and reproductive systems along with nephropathy, retinopathy, neuropathy, diabetic foot ulcer may arise in the advanced stages of diabetes. High glucose level also encourages proliferation of cancer cells, development of osteoarthritis and potentiates a suitable environment for infections. This review culminates how elevated glucose level carries out its toxicity in cells, metabolic distortion along with organ dysfunction and elucidates the complications associated with chronic hyperglycemia.
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Affiliation(s)
- Biplab Giri
- Department of Physiology, University of Gour Banga, Mokdumpur, Malda 732103, India; Experimental Medicine and Stem Cell Research Laboratory, Department of Physiology, West Bengal State University, Barasat, Kolkata 700126, India.
| | - Sananda Dey
- Department of Physiology, University of Gour Banga, Mokdumpur, Malda 732103, India; Experimental Medicine and Stem Cell Research Laboratory, Department of Physiology, West Bengal State University, Barasat, Kolkata 700126, India
| | - Tanaya Das
- Experimental Medicine and Stem Cell Research Laboratory, Department of Physiology, West Bengal State University, Barasat, Kolkata 700126, India
| | - Mrinmoy Sarkar
- Experimental Medicine and Stem Cell Research Laboratory, Department of Physiology, West Bengal State University, Barasat, Kolkata 700126, India
| | - Jhimli Banerjee
- Department of Physiology, University of Gour Banga, Mokdumpur, Malda 732103, India
| | - Sandeep Kumar Dash
- Department of Physiology, University of Gour Banga, Mokdumpur, Malda 732103, India.
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