Is there an association between platelet and blood inflammatory indices and the risk of gestational diabetes mellitus?

Association between inflammatory biomarkers and gestational diabetes mellitus in women aged 20-44: a cross-sectional analysis of NHANES 2007-2018

Inflammation exerts an essential role in gestational diabetes mellitus (GDM), but the relationship between peripheral blood inflammatory markers and GDM remains unclear. The purpose of this study was to explore the relationship between inflammatory markers and GDM in US adults. Data were extracted from the National Health and Nutrition Examination Survey. Five inflammatory markers were derived from complete blood count. Survey-weighted multivariable logistic regression models were used to assess the association between inflammatory markers and GDM. Restricted cubic splines and subgroup analyses were conducted to validate the stability of the results. Finally, a total of 2363 women aged 20-44 were included based on specific criteria, with 229 self-reported GDM cases (9.69%). The increased lymphocyte-monocyte ratio (LMR) was associated with the higher risk of GDM, aOR = 1.82 (CI:1.30-2.56). Compared with the lowest tertile, the highest tertile group of LMR showed a significantly increased risk of GDM, aOR = 2.24 (CI: 1.28-2.85). Conversely, the highest tertile group of systemic inflammation response index (SIRI) was negatively associated with GDM, aOR = 0.61 (95% CI: 0.40-0.94). And high platelet-lymphocyte ratio (PLR) levels are related to a lower risk of GDM. No non-linear relationships were observed. Furthermore, subgroup analysis revealed that the association between LMR, SIRI, and GDM remained consistent with the overall results. Our study indicated that LMR, PLR, and SIRI may be potential predictors of GDM. Further large-scale prospective study is needed to investigate the role of LMR, PLR and SIRI in GDM.

Study on MTHFR (C677T & A1298C) Gene Polymorphisms in the Condition of Glucose Intolerance During Pregnancy

INTRODUCTION

Gestational diabetes mellitus (GDM) is a prevalent medical complication in pregnancy, characterized by glucose intolerance. The global expected prevalence of GDM is approximately 15.1%. This study builds upon previous research by investigating elevated hematological parameters and exploring MTHFR gene polymorphisms in GDM.

MATERIALS AND METHODS

This study included 304 pregnant women, comprising 152 patients with GDM and an equal number of normal pregnant women. Employing PCR-RFLP techniques, we identified MTHFR gene polymorphisms (C677T & A1298C) associated with gestational diabetes.

RESULTS

Significant associations were found in gestational age and platelet count, indicating their relevance to GDM risk. The odds ratios for both MTHFR A1298C (p value: 0.034; OR = 0.7; 95% CI: 0.5021-0.9758) and MTHFR C677T (p value: 0.008; OR = 0.5453; 95% CI: 0.3292-0.9011) gene polymorphisms demonstrated an increased risk of GDM development.

CONCLUSION

The study reveals that elevated platelet count and polymorphs increase the risk of developing GDM in pregnant women. Gestational age also plays a role. The study also finds a link between the MTHFR C677T SNP and the MTHFR A1298C gene polymorphism and the risk of gestational diabetes in Andhra Pradesh. This gives us new information about genetic and hematological factors.

The association of inflammatory markers in early pregnancy with the development of gestational diabetes: Qazvin maternal and neonatal metabolic study (QMNS)

BACKGROUND

This study investigates the association of blood cell components and blood cell-derived inflammatory indices in early pregnancy with the development of gestational diabetes mellitus (GDM).

METHODS

This research is part of the Qazvin maternal and neonatal metabolic study (QMNMS) conducted in Iran from 2018 to 2021. Pregnant women with gestational age ≤ 14 weeks were enrolled in the study. The association of blood cells and inflammatory indices, including neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory response index (SIRI), systemic immune inflammation index (SII), and aggregate systemic inflammatory response index (AISI), in early pregnancy with subsequent GDM development was examined using multivariate logistic regression. This analysis was adjusted for age, pre-pregnancy body mass index (BMI), weight gain, and GDM history in previous pregnancies (Model 1), as well as for these factors in addition to the homeostatic model assessment for insulin resistance (HOMA-IR) (Model 2). The correlation of blood cells and inflammatory indices with insulin resistance was assessed through Spearman partial correlation, adjusted for the same risk factors.

RESULTS

The final analysis included 612 participants, among whom GDM developed in 96 participants (15.7%). Neutrophil, platelet, and lymphocyte counts showed significant correlations with HOMA-IR (r = 0.14, r = 0.22, and r = 0.17, respectively; P < 0.01 for all). In univariate analysis, the highest quartile of neutrophil count was associated with a 5.9 times higher risk of GDM development (95% CI 2.6-13.2, P < 0.001). In multivariate logistic regression, neutrophil count quartiles remained significant predictors of GDM development, with relative risks of 3.7, 4.4, and 8.2 for the 2nd, 3rd, and 4th neutrophil quartiles compared to the 1st quartile (P < 0.001). While platelet count was initially associated with GDM development (RR = 2.6, 95% CI 1.3-5.1, P = 0.028), this association was no longer significant after adjusting for HOMA-IR. Neither lymphocyte nor monocyte counts were linked to GDM development. Additionally, inflammatory indices, such as NLR, SIRI, SII, and AISI, did not provide additional predictive value for GDM development.

CONCLUSION

Neutrophil count is an independent predictor of GDM development, and its role in GDM development is not influenced by early pregnancy insulin resistance. Moreover, novel inflammatory indices offer no additional predictive benefit for GDM.

Blood Cells Parameters in Second Trimester of Pregnancy and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

OBJECTIVE

Gestational diabetes mellitus (GDM) is one of the most common complications during pregnancy. There is inconsistency between previous studies regarding the blood and inflammatory parameters levels among pregnant women and its association with GDM. This study aimed to investigate the relationship between blood parameters in relation to GDM.

METHODS

Systematic literature searches were carried out through databases like PubMed, Web of Science, Epistemonikos, Scopus, Scientific Information Database and Magiran till May 2024. The effect size of serum blood parameters levels was determined by using standard mean deviations (SMDs) and 95% confidence intervals (CIs).

RESULTS

Thirty articles were included in this study. Meta-analysis showed that compared with the control group, women with GDM had significantly higher levels of haemoglobin (0.343 [95% CI 0.134-0.553] p = 0.01, sensitivity analysis: 0.174 [95% CI 0.0343-0.315] p = 0.01), red blood cell (0.387 [95% CI 0.224-0.550] p < 0.001), mean platelet volume (0.498 [95% CI 0.165-0.831] p = 0.003), white blood cell count (0.351 [95% CI 0.0882-0.615] p = 0.009) and neutrophil-lymphocyte ratio (0.534 [95% CI 0.127-0.941] p = 0.01). However, women with GDM had lower levels of mean corpuscular haemoglobin concentration (-0.249 [95% CI -0.386--0.112] p < 0.001). Pooled results from MPV showed no association between adjusted MPV and GDM (adjusted OR 1.33 [95% CI 0.8-1.86] I2 = 57.2%).

CONCLUSIONS

Finding supports higher levels of blood parameters (Hb, RBC, WBC, NLR and MPV) among women with GDM in the second trimester of pregnancy. Future studies should investigate the potential role of these haematological markers as predictive tools for adverse pregnancy outcomes and evaluate therapeutic interventions targeting these parameters to enhance maternal and fetal health.

Gestational diabetes mellitus enhances cobalt placental transfer efficiency between mother and infant

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.

Monocyte-to-lymphocyte ratio in the early second trimester is a predictor of gestational diabetes mellitus

OBJECTIVE

To evaluate neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), neutrophil-to-monocyte ratio (NMR), and other hemogram-derived inflammatory parameters measured in the early second trimester and their association with the risk of gestational diabetes mellitus (GDM).

METHODS

This case-control study was conducted with 105 women with GDM and 205 healthy pregnant women, matched for maternal age at a 1:2 ratio with the cases at two regional maternity hospitals between January 2021 and August 2022. The inflammatory blood cell indices were tested in the early second trimester, and the patient's characteristics and the course of the pregnancy were analyzed. Logistic regression was used to determine the association between hematological parameters and the risk of GDM. Data were analyzed using SPSS, version 25.0 (SPSS, Chicago, IL).

RESULTS

The final analysis included 310 pregnant women. The GDM group showed a higher pre-pregnancy BMI compared to the healthy controls (p < .01). There was no difference in NMR, PLR, and NLR between the groups (p = .63, .54, and .39, respectively). GDM was only positively associated with MLR (p = .02). After adjusting for potential confounding risk factors including maternal age, parity, and BMI, the multivariate regression analysis showed a higher level of MLR, with a cutoff point of 0.312, was independently associated with the risk of GDM (OR = 2.15, 95%CI 1.51-4.31, p = .03). However, ROC analysis showed that the AUC value of MLR was poor (0.670).

CONCLUSIONS

We found that MLR, an inflammatory combined index derived from whole blood counts, may potentially serve as a predictor of GDM in the early second trimester.

Predictive Utility of Biochemical Markers for the Diagnosis and Prognosis of Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is a common complication during pregnancy with an increasing prevalence worldwide. Early prediction of GDM and its associated adverse outcomes is crucial for timely intervention and improved maternal and fetal health. The objective of this review is to provide a comprehensive summary of contemporary evidence on biomarkers, focusing on their potential to predict the development of GDM and serve as predictors of maternal, fetal, and neonatal outcomes in women with GDM. A literature search was conducted in the PubMed database using relevant terms. Original research articles published in English between 1 January 2015, and 30 June 2024, were included. A two-stage screening process was employed to identify studies on biomarkers for GDM diagnosis and prognosis and to evaluate the evidence for each biomarker's diagnostic performance and its potential prognostic correlation with GDM. Various biochemical markers, including adipokines, inflammatory markers, insulin resistance markers, glycemic markers, lipid profile markers, placenta-derived markers, and other related markers, have shown promise in identifying women at risk of developing GDM and predicting adverse pregnancy outcomes. Several promising markers with high predictive performance were identified. However, no single biomarker has demonstrated sufficient accuracy to replace the current diagnostic criteria for GDM. The complexity of multiple pathways in GDM pathogenesis highlights the need for a multi-marker approach to improve risk stratification and guide personalized management strategies. While significant progress has been made in GDM biomarker research, further studies are required to refine and validate these markers for clinical use and to develop a comprehensive, evidence-based approach to GDM prediction and management that can improve maternal and child health outcomes.

Metabolic and Immune Parameters in Pregnant Women with Impaired Glucose Metabolism-A Pilot Study

Gestational diabetes mellitus (GDM) is a public health problem with increasing prevalence. Analyses of metabolic and immune profiles have great potential for discovering new markers and mechanisms related to the development of GDM. We monitored 61 pregnant women during the first and third trimesters of pregnancy, including 13 pregnant women with GDM, 14 pregnant women with elevated glucose in the first trimester and 34 healthy pregnant women. A number of metabolic and immunological parameters were measured, including glucose, insulin, lipid status, fatty acids, lymphocyte profile, adiponectin, IL-6, IL-10 and TNF-a. A higher number of T-helper lymphocytes and a higher ratio of helper/cytotoxic lymphocytes was found in the control group in the first trimester of pregnancy. Pregnant women whose glucose threshold values were measured in the first trimester, but who did not develop GDM, showed a higher percentage of neutrophils and a lower percentage of lymphocytes in the third trimester. Differences in polyunsaturated fatty acids levels were observed between healthy pregnant women and those with glucose metabolism disorders in the first trimester of pregnancy. The results of this pilot study demonstrate that there are differences in the profiles of T lymphocytes, NK cells and polyunsaturated fatty acids between the examined groups of pregnant women, which can serve as a direction for future research.

Platelet-to-lymphocyte ratio and serum hsCRP levels in third trimester and adverse pregnancy outcomes in women with gestational diabetes mellitus

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.

Blood Cell Parameters From Early to Middle Pregnancy and Risk of Gestational Diabetes Mellitus

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.

Hemoglobin at the first visit of pregnancy and developing gestational diabetes mellitus: Results of a prospective registry cohort study

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.

THE CLINICAL SIGNIFICANCE OF COMPLETE BLOOD COUNT, NEUTROPHIL-TO-LYMPHOCYTE RATIO, AND MONOCYTE-TO-LYMPHOCYTE RATIO IN GESTATIONAL DIABETES MELLITUS

Background

To investigate the association between inflammatory factors, such as complete blood count (CBC) components, neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and gestational diabetes mellitus (GDM).

Methods

A total of 635 pregnant women with GDM and 296 with normal pregnancies at 7-13 weeks of gestation who underwent prenatal examinations in the obstetrics department were enrolled (June 2020-December 2020). CBC parameters, including WBC, neutrophil, lymphocyte (LYM), monocyte (MON), red blood cell (RBC), hemoglobin (HGB), mean corpuscular volume (MCV), platelet (PLT), platelet accumulation (PCT), mean platelet volume (MPV), NLR, MLR, PLR, alanine transaminase (ALT), aspartate transaminase (AST), gamma-glutamyl transferase (GGT), and other parameters were assessed. The receiver operating characteristic (ROC) curve was used to analyze the screening effects of the variables on the development of GDM.

Results

There were significant differences in the blood levels of WBC, NEU, LYM, MON, RBC, HGB, PCT, ALT, AST, GGT, NLR, and MLR between the GDM and control groups (P<0.05). The diagnostic level of MON was the highest among all factors.

Conclusion

Inflammatory factors (WBC, NEU, LYM, MON, NLR, and MLR counts) were correlated with GDM.

Platelet counts affect the association between hyperhomocysteinemia and pregnancy complications

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.

UHPLC-MS/MS-Based Metabolomics and Clinical Phenotypes Analysis Reveal Broad-Scale Perturbations in Early Pregnancy Related to Gestational Diabetes Mellitus

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 ( $n$  =60) and matched healthy controls ( $n$  =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.

Gestational Diabetes Melitus and Cord Blood Platelet Function Studied via the PFA-100 System

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.

Gestational diabetes mellitus is associated with blood inflammatory indicators in a Chinese pregnant women population

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.

Association of circulating inflammatory cells and platelets with gestational diabetes and pregnancy outcomes

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.

Association Between Neutrophil-Lymphocyte Ratio and Gestational Diabetes-A Systematic Review and Meta-Analysis

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.

Gestational diabetes mellitus and inflammatory biomarkers of neutrophil-lymphocyte ratio and platelet-lymphocyte ratio: a systematic review and meta-analysis

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.

Distribution of complete blood count constituents in gestational diabetes mellitus

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.