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Peng X, Li Y, Guo H, Yuan H, Li T, Xu X, Hu L. Gestational diabetes mellitus enhances cobalt placental transfer efficiency between mother and infant. J Matern Fetal Neonatal Med 2024; 37:2340597. [PMID: 38639583 DOI: 10.1080/14767058.2024.2340597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/03/2024] [Indexed: 04/20/2024]
Abstract
Background: The fetal stage is pivotal for growth and development, making it susceptible to the adverse effects of prenatal metal(loid)s exposure. This study evaluated the influence of gestational diabetes mellitus (GDM) on the placental transfer efficiency (PTE) of metal(loid)s and thus assessed the associated risks of prenatal metal(loid)s exposure. Materials and method: Designed as a case-control study, it incorporated 114 pregnant participants: 65 without complications and 49 diagnosed with GDM. We utilized inductively coupled plasma mass spectrometry to quantify seven metal(loid)s - manganese (Mn), cobalt (Co), nickel (Ni), copper (Cu), gallium (Ga), arsenic (As), and cadmium (Cd) - in both maternal venous blood and umbilical cord blood. Result: We compared metal(loid)s concentrations and their PTE in the maternal and cord blood between the two groups. Notably, Cu, Ga, As, and Co levels in the umbilical cord blood of the GDM group (657.9 ± 167.2 μg/L, 1.23 ± 0.34 μg/L, 5.19 ± 2.58 μg/L, 1.09 ± 2.03 μg/L) surpassed those of the control group, with PTE of Co showing a marked increase in GDM group (568.8 ± 150.4 μg/L, 1.05 ± 0.31 μg/L, 4.09 ± 2.54 μg/L, 0.47 ± 0.91 μg/L), with PTE of Co showing a marked increase in GDM group (p < 0.05). The PTE of Ni exhibited a reduction in the GDM group relative to the control group, yet this decrease did not reach statistical significance. Conclusion: This study indicates that GDM can influence the placental transfer efficiency of certain metal(loid)s, leading to higher concentrations of Co, Cu, Ga, and As in the umbilical cord blood of the GDM group. The marked increase in the PTE of Co suggests a potential link to placental abnormal angiogenesis due to GDM.
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Affiliation(s)
- Xianglian Peng
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
| | - Yu Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing, China
| | - Hua Guo
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
| | - Hao Yuan
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
| | - Ting Li
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
| | - Xi Xu
- Urology, Shanghai Changhai Hospital, Shanghai, China
| | - Ligang Hu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, Beijing, China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
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Tao J, Huang Y, Li Y, Dai W. Platelet-to-lymphocyte ratio and serum hsCRP levels in third trimester and adverse pregnancy outcomes in women with gestational diabetes mellitus. Sci Rep 2023; 13:20963. [PMID: 38017249 PMCID: PMC10684644 DOI: 10.1038/s41598-023-48371-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 11/25/2023] [Indexed: 11/30/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is a major complication of pregnancy. GDM is associated with a higher risk of adverse pregnancy outcomes (APO). The purpose of this study was to assess the association between third-trimester platelet to lymphocyte ratio (PLR) and high-sensitivity C-reactive protein (hsCRP) concentration and the risk of APO in GDM pregnant women. This study selected 406 non-elderly gestational diabetes patients diagnosed in the Renmin Hospital of Wuhan University from May 2021 to February 2023 as the research objects. According to the presence or absence of APO, they were divided into an APO group (n = 171) and a non-APO group (n = 235). Logistic regression model to evaluate the correlation between PLR and hsCRP and APO in women with GDM; Restricted cubic spline analyses was used to explore nonlinear correlations between PLR or hsCRP and the risk of APO; ROC curve analysis of the diagnostic performance of PLR and hsCRP for APO in women with GDM. APO occurred in 171 of the 406 included participants. Compared with the non-APO group, patients in the APO group had higher PLR and hsCRP levels. The incidence of APO was positively associated with PLR and the hsCRP level in each logistic regression model (P < 0.05). After adjusting for all the risk factors included in this study, restricted cubic spline analyses found that the PLR and the hsCRP level were positively associated with the risk of APO. The levels of PLR and hsCRP in the third trimester are related to the occurrence of APO in women with GDM, and high levels of PLR and hsCRP may indicate the occurrence of APO.
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Affiliation(s)
- Jun Tao
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yun Huang
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yan Li
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan, China.
| | - Wen Dai
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan, China.
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Ye YX, Wang Y, Wu P, Yang X, Wu L, Lai Y, Ouyang J, Li Y, Li P, Hu Y, Wang YX, Song X, Yan S, Lv C, Liu G, Pan A, Pan XF. Blood Cell Parameters From Early to Middle Pregnancy and Risk of Gestational Diabetes Mellitus. J Clin Endocrinol Metab 2023; 108:e1702-e1711. [PMID: 37279929 DOI: 10.1210/clinem/dgad336] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/22/2023] [Accepted: 06/02/2023] [Indexed: 06/08/2023]
Abstract
CONTEXT Chronic low-grade inflammation may play a crucial role in the pathogenesis of gestational diabetes mellitus (GDM). However, prospective studies on the relations of inflammatory blood cell parameters during pregnancy with GDM are lacking. OBJECTIVE To prospectively investigate the associations of inflammatory blood cell parameters in both early and middle pregnancy, and their change patterns from early to middle pregnancy, with GDM risk. METHODS We used data from the Tongji-Shuangliu Birth Cohort. Inflammatory blood cell parameters (white blood cells [WBC], neutrophils, lymphocytes, monocytes, neutrophil to lymphocyte ratio [NLR], and platelets) were assayed before 15 weeks and between 16 and 28 weeks of gestational age. Logistic regression was used to evaluate the associations between inflammatory blood cell parameters and GDM. RESULTS Of the 6354 pregnant women, 445 were diagnosed with GDM. After adjustment for potential confounders, WBC, neutrophils, lymphocytes, monocytes, and NLR in early pregnancy were positively associated with GDM risk (odds ratios [95% CI] for extreme-quartile comparison were 2.38 [1.76-3.20], 2.47 [1.82-3.36], 1.40 [1.06-1.85], 1.69 [1.27-2.24], and 1.51 [1.12-2.02], respectively, all P for trend ≤ .010). Similarly, higher levels of WBC, neutrophils, monocytes, and NLR in middle pregnancy were associated with increased risk of GDM (all P for trend ≤ .014). Stable high levels (≥ median in both early and middle pregnancy) of WBC, neutrophils, monocytes, and NLR were positively associated with GDM risk (all P ≤ .001). CONCLUSION Increased WBC, neutrophils, monocytes, and NLR in both early and middle pregnancy and their stable high levels from early to middle pregnancy were associated with higher GDM risk, highlighting that they might be clinically relevant for identifying individuals at high risk for GDM.
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Affiliation(s)
- Yi-Xiang Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Ping Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xue Yang
- Section of Epidemiology and Population Health, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Linjing Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yuwei Lai
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Jing Ouyang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yanqin Li
- Department of Obstetrics, Shuangliu Maternal and Child Health Hospital, Chengdu, Sichuan 610200, China
| | - Peishan Li
- Department of Obstetrics, Shuangliu Maternal and Child Health Hospital, Chengdu, Sichuan 610200, China
| | - Yayi Hu
- Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yi-Xin Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02138, USA
| | - Xingyue Song
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, China
| | - Shijiao Yan
- School of Public Health, Hainan Medical University, Haikou, Hainan 571199, China
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou, Hainan 571199, China
| | - Chuanzhu Lv
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou, Hainan 571199, China
- Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan 610072, China
- Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, Hainan 571199, China
| | - Gang Liu
- Department of Nutrition & Food Hygiene, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health & Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, Sichuan 610200, China
- Center for Epidemiology and Population Health, Integrated Traditional Chinese and Western Medicine Institute & Chengdu Integrated Traditional Chinese and Western Medicine Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, China
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Sedigheh N, Hajieh S, Javad Z, Mehrdad S. Hemoglobin at the first visit of pregnancy and developing gestational diabetes mellitus: Results of a prospective registry cohort study. Clin Nutr ESPEN 2023; 57:469-474. [PMID: 37739693 DOI: 10.1016/j.clnesp.2023.07.084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 07/10/2023] [Accepted: 07/18/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND AND AIM Gestational diabetes mellitus (GDM) is associated with a considerable risk of diabetes in the future. Few studies focused on the association between hemoglobin levels and developing gestational diabetes. This study aimed to determine the association of hemoglobin in early pregnancy and developing gestational diabetes mellitus. METHODS A prospective registry cohort study was designed for the recall of women with gestational diabetes mellitus. The registry was implemented in the health centers of Ahvaz City in 2019. Biological and clinical assessments were done, and interviewer-administered questionnaires were used to collect data on socio-demographic Features, medical and obstetric history, and risk factors of GDM. SPSS used for data analysis. The optimal hemoglobin cut-off point, its sensitivity, and specificity for the prediction of GDM were estimated using ROC analysis. RESULTS The prevalence of anemia was 17.1% in pregnant women (8.1% in women with gestational diabetes versus %24.2% in the healthy group, p < 0.001). The hemoglobin mean in women with GDM was significantly higher than in healthy women (P < 0.001). Hemoglobin at the first visit was significantly associated with a greater risk of gestational diabetes (OR = 3.80, 95% CI: 3.05-4.74). The area under the curve (AUC) was 0.76 (95% CI 0.73-79), and the optimal cut-off point for hemoglobin was 11.90 g/dL, with a sensitivity of 75% and a specificity of 68%. Women with a higher hemoglobin level had a 3.8- more risk of developing GDM. CONCLUSION Measurement of hemoglobin can be a relatively good tool for predicting gestational diabetes in the first months of pregnancy. The combination of hemoglobin with fasting blood sugar and BMI improves the predictive value for gestational diabetes incidence.
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Affiliation(s)
- Nouhjah Sedigheh
- Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Shahbazian Hajieh
- Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Zarei Javad
- Department of Health Information Technology, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Sharifi Mehrdad
- Ahvaz Health Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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Yu B, Zhang B, Han X, Long W, Zhou W, Yuan X. Platelet counts affect the association between hyperhomocysteinemia and pregnancy complications. BMC Public Health 2023; 23:1058. [PMID: 37268909 PMCID: PMC10236586 DOI: 10.1186/s12889-023-16027-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 05/31/2023] [Indexed: 06/04/2023] Open
Abstract
BACKGROUND The joint effect of platelet and other modifiers on the risk of pregnancy complications is unknown. This study investigated whether platelet count (PC) and total homocysteine (tHcy) level have a synergistic effect on the incidence of pregnancy complications in a Chinese population. METHODS Total 11,553 consecutive pregnant women who received whole blood cell and biochemical tests at the time of admission for labor in Changzhou Maternal and Child Health Care Hospital were analyzed. The primary outcome was the prevalence of pregnancy complications: gestational diabetes mellitus (GDM), intrahepatic cholestasis of pregnancy (ICP), pre-eclampsia (PE), and pregnancy induced hypertension (PIH). RESULTS The prevalence of GDM, ICP, PE, and PIH was 8.4%, 6.2%, 3.4%, and 2.1%, respectively. The highest rate of ICP (28.6%) was observed in women with high tHcy (> 15 μmol/L) and low PC (quartile 1); and the lowest rate of GDM (0.6%) was found in women with high tHcy and high PC (quartiles 2 to 4). In low PC group, the prevalence of ICP in women with high tHcy was significantly higher than that in women with low tHcy (≤ 15 μmol/L) (28.6% vs. 8.4%), representing an absolute risk increment of 20.2% and a relative risk increment of 3.3-fold (OR: 3.34; 95% CI: 1.55, 7.17; P = 0.002), whereas no joint effect was observed among high PC group. CONCLUSIONS Among Chinese pregnant women, one subgroup (high tHcy and low PC) has the highest risk of ICP and another (high tHcy and high PC) has the lowest risk of GDM; tHcy and platelet could be used as indicators to identify the women with high risk of ICP or low risk of GDM.
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Affiliation(s)
- Bin Yu
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
| | - Bin Zhang
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
| | - Xiaoya Han
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
| | - Wei Long
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
| | - Wenbo Zhou
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
| | - Xiaosong Yuan
- Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, 16th Ding Xiang Road, Changzhou, 213023 Jiangsu China
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UHPLC-MS/MS-Based Metabolomics and Clinical Phenotypes Analysis Reveal Broad-Scale Perturbations in Early Pregnancy Related to Gestational Diabetes Mellitus. DISEASE MARKERS 2022; 2022:4231031. [PMID: 36061360 PMCID: PMC9433254 DOI: 10.1155/2022/4231031] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 05/20/2022] [Accepted: 07/21/2022] [Indexed: 11/17/2022]
Abstract
Gestational diabetes mellitus (GDM) is the most common metabolic disturbance during pregnancy, with adverse effects on both mother and fetus. The establishment of early diagnosis and risk assessment model is of great significance for preventing and reducing adverse outcomes of GDM. In this study, the broad-scale perturbations related to GDM were explored through the integration analysis of metabolic and clinical phenotypes. Maternal serum samples from the first trimester were collected for targeted metabolomics analysis by using ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Statistical analysis was conducted based on the levels of the 184 metabolites and 76 clinical indicators from GDM women (
=60) and matched healthy controls (
=90). Metabolomics analysis revealed the down-regulation of fatty acid oxidation in the first trimester of GDM women, which was supposed to be related to the low serum level of dehydroepiandrosterone.While the significantly altered clinical phenotypes were mainly related to the increased risk of cardiovascular disease, abnormal iron metabolism, and inflammation. A phenotype panel established from the significantly changed serum indicators can be used for the early prediction of GDM, with the area under the receiver-operating characteristic curve (ROC) 0.83. High serum uric acid and C-reaction protein levels were risk factors for GDM independent of body mass indexes, with ORs 4.76 (95% CI: 2.08-10.90) and 3.10 (95% CI: 1.38-6.96), respectively. Predictive phenotype panel of GDM, together with the risk factors of GDM, will provide novel perspectives for the early clinical warning and diagnosis of GDM.
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Gestational Diabetes Melitus and Cord Blood Platelet Function Studied via the PFA-100 System. Diagnostics (Basel) 2022; 12:diagnostics12071645. [PMID: 35885550 PMCID: PMC9318840 DOI: 10.3390/diagnostics12071645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/02/2022] [Accepted: 07/04/2022] [Indexed: 11/18/2022] Open
Abstract
Neonatal platelet hemostasis, although it has been well described over the recent years, remains elusive in specific patient populations, including neonates from high-risk pregnancies, such as those complicated with gestational diabetes mellitus (GDM). We aimed at evaluating the platelet function of neonates born to mothers with GDM using the platelet function analyzer (PFA-100). Cord blood samples were drawn from each subject and tested with two different agonists to provide two closure time (CT) values (collagen with epinephrine (COL/EPI) and collagen with adenosine diphosphate (COL/ADP)). A total of 84 and 118 neonates formed the GDM and the control group (neonates from uncomplicated pregnancies), respectively. COL/EPI CTs were prolonged in neonates from the GDM group compared to neonates from the control group, while no statistically significant difference of COL/ADP CTs was noted between the two groups, GDM and the control. Higher COL/ADP CTs were demonstrated in neonates born via cesarean section and in neonates with blood group O. A negative correlation between COL/ADP CT and gestational age, white blood cells (WBCs) and von Willebrand factor (VWF) activity was noted in neonates from the GDM group. In conclusion, neonates from the GDM group demonstrate a more hyporesponsive phenotype of their platelets, in comparison to the control neonates.
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Wang L, Yao H, Shen W, Wang X, Huang C, Yu X, Liu C. Gestational diabetes mellitus is associated with blood inflammatory indicators in a Chinese pregnant women population. Gynecol Endocrinol 2022; 38:153-157. [PMID: 34907826 DOI: 10.1080/09513590.2021.2015762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVE This study aimed to investigate relationships between blood inflammatory and metabolic biomarkers in pregnant Chinese women with gestational diabetes mellitus (GDM) in Southwest China and to compare the contributions of blood inflammatory indicators to GDM identification. SUBJECTS AND METHODS In total, 1,347 pregnant women were divided by gestational week into early-, middle- and late-pregnancy groups. Fasting samples were collected for complete blood count (CBC) and biochemical indicator measurements. Receiver operating characteristic (ROC) curves were used to predict GDM. Multivariate logistic regression was used to examine the associations between blood inflammatory indicators and GDM prevalence in pregnant women. RESULTS Significant differences were found in blood inflammatory indicators and metabolic markers in different pregnancy trimesters. For the pregnant women with GDM, FPG, 1 h-PG, 2 h-PG levels, NLR and PLR, WBC and neutrophil counts were statistically differences when compared with non-GDM groups. ROC curve analysis indicated that the NLR, PLR, WBC and neutrophil counts have predictive value for GDM from 24-28 gestational weeks. The FPG levels in 24th-28th weeks of pregnant women were positively correlated with the NLR, PLR, 1 h-PG, 2 h-PG levels and negatively correlated with lymphocyte count. Following adjustment for the age, PLR, and FPG level, multivariate logistic regression showed that the NLR was an independent factor predicting GDM in the 24th-28th weeks of pregnancy. CONCLUSION The blood inflammatory indicators NLR, PLR, and WBC and neutrophil counts were higher in GDM women than in healthy pregnant women, suggesting that blood inflammatory indicators are associated with GDM.
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Affiliation(s)
- Li Wang
- Department of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Haibo Yao
- Department of Medical Records, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Shen
- Department of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xuemei Wang
- Department of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Cheng Huang
- Department of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xia Yu
- Department of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Chenggui Liu
- Department of Clinical Laboratory, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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A study to investigate the elevated maternal haemoglobin value as a risk biomarker for gestational diabetes: A nested case control study. CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH 2021. [DOI: 10.1016/j.cegh.2021.100897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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10
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Sun X, Sun H, Li P. Association of circulating inflammatory cells and platelets with gestational diabetes and pregnancy outcomes. Clin Chim Acta 2021; 523:87-96. [PMID: 34508686 DOI: 10.1016/j.cca.2021.09.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/05/2021] [Accepted: 09/07/2021] [Indexed: 11/16/2022]
Abstract
Gestational diabetes mellitus (GDM) is the most common cause of hyperglycemia during pregnancy, and its prevalence has increased over the past decades. GDM is directly related to the recent obstetric outcomes and long-term maternal and child health, which can be greatly improved by early identification and diagnosis of GDM. However, the prediction of the disease has always been a difficult problem due to the lack of simple and practical serological markers. Despite the controversy, recent studies have identified that circulating inflammatory cells and platelets, routinely included in the obstetric blood tests, are related to the development of GDM and adverse pregnancy outcomes. In this review, we summarized the studies in this field based on the recent literature. The inflammatory cell components we included were the total number of white blood cells, neutrophils, lymphocytes, monocytes and platelets, which were routinely examined in the blood tests in pregnancy. The aim of this review is not only to enrich our understanding of the pathogenesis of GDM but also to provide evidence for the value of these novel and practical serological markers in early identification of GDM and the prevention and its adverse outcomes.
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Affiliation(s)
- Xiaoshi Sun
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People's Republic of China
| | - He Sun
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People's Republic of China
| | - Ping Li
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People's Republic of China.
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Hessami K, Tabrizi R, Homayoon N, Hashemi A, Heydari ST, Pourhoseini SA. Gestational diabetes mellitus and inflammatory biomarkers of neutrophil-lymphocyte ratio and platelet-lymphocyte ratio: a systematic review and meta-analysis. Biomarkers 2021; 26:491-498. [PMID: 33950777 DOI: 10.1080/1354750x.2021.1926542] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE To evaluate the association between two inflammatory biomarkers of neutrophil -lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) with gestational diabetes mellitus (GDM). METHODS AND MATERIALS Systematic search was performed up to June 2020 in databases such as PubMed, Embase, Scopus, Web of Science, and Google scholar. The random-effects model was utilised to combine the weighted mean differences (WMDs) and their 95% confidence intervals (CIs). RESULTS Out of a total of 849 articles, sixteen studies were eligible. Our findings indicated higher NLR (WMD = 0.48, 95% CI: 0.25, 0.71) and PLR (WMD = 8.22, 95% CI: -0.50, 16.94) values in pregnancies diagnosed with GDM compared with non-GDM control pregnancies. However, the difference in PLR value did not reach a statistically significant level (Z = 1.85, p = 0.065). In meta-regression analysis, we found no significant influence of total sample size [for NLR (B= -0.0, p = 0.13), for PLR (B= -0.02, p = 0.55)] and publication year [for NLR (B= -0.02, p = 0.61), for PLR (B = 0.89, p = 0.75)] on association between NLR and PLR with GDM. CONCLUSION The current meta-analysis is the first, to our knowledge, to show that NLR value is significantly associated with GDM. However, PLR showed no significant association with GDM.
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Affiliation(s)
- Kamran Hessami
- Maternal-Fetal Medicine Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.,Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reza Tabrizi
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Nahid Homayoon
- Department of Obstetrics and Gynecology, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Atefe Hashemi
- Department of Obstetrics and Gynecology, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyed Taghi Heydari
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
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12
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Zhang Y, Zhang Y, Zhao L, Shang Y, He D, Chen J. Distribution of complete blood count constituents in gestational diabetes mellitus. Medicine (Baltimore) 2021; 100:e26301. [PMID: 34115037 PMCID: PMC8202579 DOI: 10.1097/md.0000000000026301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 05/17/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND TRIAL DESIGN The incidence rate of gestational diabetes is high. In the long run, it harms the health of both the mother and child. In order to understand the distribution of hematological cells with gestational diabetes mellitus (GDM), a longitudinal cohort study was conducted from 2012 to 2018. METHODS A longitudinal case control study of 1860 pregnant women was conducted between 2012 and 2018. Data of hematological parameters at 11 time points of gestational stage were obtained from a laboratory database. Repeated measures analysis and independent t-test were used to analyze the effect of the hematological parameters on GDM. RESULTS The trend of blood cells fluctuated with gestational age in normal controls but was more remarkable in GDM. Compared with the controls, blood neutrophils, lymphocytes, and monocytes augmented in the second trimester but decreased in the third trimester; platelet (PLT) and thrombocytocrit increased throughout the three trimesters, and red blood cell (RBC) was abundant in the last 2 trimesters in GDM. CONCLUSIONS Peripheral blood leukocytes, platelets, and erythrocytes were significantly different during gestation between GDM and normal controls. Inflammation may also be involved in GMD.
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Affiliation(s)
| | | | - Limin Zhao
- Scientific Research Management Department, Shenzhen Longhua District Central Hospital, Guangdong Medical University, Shenzhen
| | - Yanyan Shang
- Department of Clinical Laboratory, Cancer Center of Guangzhou Medical University, Guangzhou
| | - Dabao He
- Department of Clinical Laboratory
| | - Jiying Chen
- Department of Obstetrics and Gynecology, Shenzhen Longhua District Central Hospital, Guangdong Medical University, Shenzhen, Guangdong, China
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13
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Pace NP, Vassallo J. Association Between Neutrophil-Lymphocyte Ratio and Gestational Diabetes-A Systematic Review and Meta-Analysis. J Endocr Soc 2021; 5:bvab051. [PMID: 34095691 PMCID: PMC8169042 DOI: 10.1210/jendso/bvab051] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Indexed: 12/21/2022] Open
Abstract
A growing body of evidence shows that the neutrophil-lymphocyte ratio (NLR) is a surrogate index of systemic inflammation in several chronic diseases. Conflicting associations between NLR and gestational diabetes mellitus (GDM) have been reported in individual studies. This meta-analysis sought to investigate the association between NLR and GDM. The PubMed, EMBASE, and Google Scholar databases were searched to identify relevant articles. The pooled standardized mean difference with 95% CI was calculated using a random-effects model. Subgroup and meta-regression analysis were carried out to control for the effects of GDM diagnostic criteria, ethnicity, body mass index (BMI), and age. Eleven eligible articles were included, containing 1271 participants with GDM and 1504 controls. Pooled outcomes indicated a higher NLR in GDM pregnancies than in normoglycemic controls (SMD = 0.584; 95% CI, 0.339–0.830; P < .001), although extensive heterogeneity between studies was noted. Subgroup analysis revealed that the higher pooled estimate in GDM was not affected by diagnostic criteria, ethnicity, or BMI, although matching for BMI reduced heterogeneity between studies. This meta-analysis supports the higher NLR in GDM described by some individual studies.
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Affiliation(s)
- Nikolai Paul Pace
- Centre for Molecular Medicine and Biobanking, Faculty of Medicine and Surgery, University of Malta, MSD2080 Msida, Malta
| | - Josanne Vassallo
- Centre for Molecular Medicine and Biobanking, Faculty of Medicine and Surgery, University of Malta, MSD2080 Msida, Malta.,Department of Medicine, Faculty of Medicine and Surgery, University of Malta, MSD2080, Msida, Malta
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14
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Can A Simple Complete Blood Count Predict Gestational Diabetes Mellitus? JOURNAL OF CONTEMPORARY MEDICINE 2020. [DOI: 10.16899/jcm.797615] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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