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

Can System Inflammation Response Index or Systemic Immune Inflammation Index predict gestational diabetes mellitus in the first trimester? A prospective observational study

OBJECTIVE

To evaluate System Inflammation Response Index (SIRI) and Systemic Immune Inflammation Index (SII), which are the inflammatory indices, for the prediction of gestational diabetes mellitus (GDM) in the first trimester.

METHODS

This was a prospective observational study conducted in a tertiary center from April 2023 to September 2023. Ninety-four pregnant women with gestational diabetes and 107 healthy pregnant women were included. The two groups were compared according to first-trimester SIRI and SII values. A receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cut-off levels of SII and SIRI in predicting GDM.

RESULTS

Significantly higher first-trimester SII and SIRI values were present in the gestational diabetes group (P < 0.001). Optimal cut-off values in the prediction of gestational diabetes were found to be 1.58 (area under the curve [AUC] 0.71, 67% sensitivity, 65% specificity, 95% confidence interval [CI] 0.64-0.78, P < 0.001) and 875 (AUC 0.70, 66% sensitivity, 65% specificity, 95% CI 0.63-0.77, P < 0.001) for SIRI and SII, respectively. Neutrophil counts, mean platelet volume (MPW), neutrophil to lymphocyte ratio (NLR), and red cell distribution width (RDW) were significantly higher in the GDM group (P < 0.001, P = 0.02, P = 0.01, P < 0.01, respectively).

CONCLUSION

Novel inflammatory indices SII and SIRI may be useful in the prediction of GDM in the first trimester, but their utility in the prediction of insulin requirement is questionable. They may be used as additional tools in routine clinical practice.

Postpartum Depression and Inflammatory Biomarkers of Neutrophil-Lymphocyte Ratio, Platelet-Lymphocyte Ratio, and Monocyte-Lymphocyte Ratio: A Prospective Observational Study

OBJECTIVES

Postpartum depression (PPD) is a severe mental health disorder affecting a significant proportion of mothers, often undiagnosed and untreated, with potential long-term effects. While numerous studies have identified risk factors for PPD, the relationship between inflammatory markers and PPD remains unknown. This study aimed to investigate the potential correlation between indirect inflammatory markers, specifically neutrophil-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR), and the risk of developing PPD, assessed by the Edinburgh Postnatal Depression Scale (EPDS).

DESIGN

This was a prospective observational study conducted in a second-level university hospital, from December 2019 to February 2021.

PARTICIPANTS

A total of 211 full-term pregnant women were enrolled. Exclusion criteria included specific psychiatric diagnoses, such as severe intellectual disability, schizophrenia, schizoaffective disorder, delusional disorder, bipolar or other unspecified psychotic spectrum disorders. Additionally, pregnancies affected by gestational and pregestational diabetes, chronic hypertension, gestational hypertension, preeclampsia/eclampsia, intrauterine fetal growth restriction, preterm delivery, multiple pregnancies, and fetal abnormalities detected prenatally were excluded.

METHODS

Socio-demographic and clinical data were recorded. Blood samples for complete blood count were obtained at hospital admission, focusing on NLR, PLR, and MLR. Analyses were conducted in our laboratory using standard techniques. The postpartum PPD evaluation was conducted 3 days after delivery, with the EPDS Italian version. Statistical analyses included descriptive statistics, group comparisons using t tests or Wilcoxon rank-sum tests for continuous variables, and Pearson χ2 or Fisher's exact tests for categorical variables. Correlation analyses employed Pearson correlation or Spearman's rank correlation tests. Simple logistic regression models, adjusted for various baseline patient characteristics, explored the correlation between inflammatory markers (PLR, NLR, MLR) and postpartum depressive symptoms. Version 4.1.3 of RStudio statistical software was utilized.

RESULTS

Overall, 211 pregnant women enrolled were categorized into two groups based on the EPDS scores: <10 (176 patients) and ≥10 (35 patients). The two groups demonstrated homogeneity in different socio-demographic factors. Stepwise regression analysis indicated that PLR, NLR, and MLR were not significantly associated with these variables. The scatterplot of PLR, NLR, and MLR on EPDS was stratified for EPDS groups. The Wilcoxon rank-sum test applied to PLR, NLR, and MLR values and EPDS groups did not reveal a statistical relationship. Additional analyses were conducted using the estimated odds ratios of the logistic regression model on EPDS groups, considering both continuous and binary values of indirect inflammatory markers (PLR, NLR, MLR). The results indicated the absence of a statistical relationship.

LIMITATIONS

Our evaluation was restricted to the postpartum period, and data for the first and second trimesters of pregnancy are lacking.

CONCLUSIONS

Our findings did not evidence a correlation between indirect inflammatory markers (NLR, PLR, and MPL) and PPD. This novel finding prompts further evaluation of the role of indirect inflammatory markers in PPD, highlighting the need for additional research to clarify the complex relationship between inflammation and psychological health in the postpartum period.

Association between novel inflammatory markers and non-alcoholic fatty liver disease: a cross-sectional study

OBJECTIVE

This study aimed to investigate the association between novel inflammatory markers (NIMs) and non-alcoholic fatty liver disease (NAFLD).

METHODS

A total of 6306 subjects were enrolled in this cross-sectional study. NIMs, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), C-reactive protein to albumin ratio (CAR), lymphocyte to monocyte ratio (LMR), systemic immune-inflammation index (SII) and prognostic nutritional index (PNI), were calculated. The prevalence of NAFLD and its association with NIMs were assessed by multivariable logistic regression analysis. Subgroup analysis were performed based on age, sex and BMI.

RESULTS

The prevalence of NAFLD was 52.5% in the study population. Compared with non-NAFLD subjects, NAFLD patients were older and more frequent in females. The prevalence of NAFLD progressively increased among the higher quartile groups of CAR, LMR, SII and PNI ( P -trend < 0.05), whereas it progressively decreased among the higher quartile group of NLR and PLR ( P -trend < 0.05). According to multivariable logistic regression analysis, the highest quartile (Q4) had a significantly higher risk of NAFLD compared with Q1 in LMR [odds ratio (OR): 1.43; 95% confidence interval (CI): 1.17-1.75; P -trend < 0.001] and PNI (OR: 1.92; 95% CI: 1.57-2.35; P -trend < 0.001). The subgroup analysis showed a stronger association of PNI with NAFLD.

CONCLUSION

The study highlights the association between NIMs and NAFLD, with LMR and PNI identified as potential non-invasive markers of inflammation in NAFLD. Specifically, PNI exhibited the strongest association and may serve as a valuable marker for assessing inflammation in NAFLD.

Inflammatory markers are associated with infertility prevalence: a cross-sectional analysis of the NHANES 2013-2020

BACKGROUND

Inflammation exerts a critical role in the pathogenesis of infertility. The relationship between inflammatory parameters from peripheral blood and infertility remains unclear. Aim of this study was to investigate the association between inflammatory markers and infertility among women of reproductive age in the United States.

METHODS

Women aged 20-45 were included from the National Health and Nutrition Examination Survey (NHANES) 2013-2020 for the present cross-sectional study. Data of reproductive status was collected from the Reproductive Health Questionnaire. Six inflammatory markers, systemic immune inflammation index (SII), lymphocyte count (LC), product of platelet and neutrophil count (PPN), platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR) and lymphocyte-monocyte ratio (LMR) were calculated from complete blood counts in mobile examination center. Survey-weighted multivariable logistic regression was employed to assess the association between inflammatory markers and infertility in four different models, then restricted cubic spline (RCS) plot was used to explore non-linearity association between inflammatory markers and infertility. Subgroup analyses were performed to further clarify effects of other covariates on association between inflammatory markers and infertility.

RESULTS

A total of 3,105 women aged 20-45 was included in the final analysis, with 431 (13.88%) self-reported infertility. A negative association was found between log2-SII, log2-PLR and infertility, with an OR of 0.95 (95% CI: 0.78,1.15; p = 0.60), 0.80 (95% CI:0.60,1.05; p = 0.10), respectively. The results were similar in model 1, model 2, and model 3. Compared with the lowest quartile (Q1), the third quartile (Q3) of log2-SII was negatively correlation with infertility, with an OR (95% CI) of 0.56 (95% CI: 0.37,0.85; p = 0.01) in model 3. Similarly, the third quartile (Q3) of log2-PLR was negatively correlation with infertility, with an OR (95% CI) of 0.61 (95% CI: 0.43,0.88; p = 0.01) in model 3. No significant association was observed between log2-LC, log2-PPN, log2-NLR, log2-LMR and infertility in model 3. A similar U-shaped relationship between log2-SII and infertility was found (p for non-linear < 0.05). The results of subgroup analyses revealed that associations between the third quartile (Q3) of log2-SII, log2-PLR and infertility were nearly consistent.

CONCLUSION

The findings showed that SII and PLR were negatively associated with infertility. Further studies are needed to explore their association better and the underlying mechanisms.

Influence of gestational diabetes mellitus on subclinical myocardial dysfunction during pregnancy: A systematic review and meta-analysis

OBJECTIVE

The correlation between gestational diabetes mellitus (GDM) and subclinical myocardial dysfunction has been poorly investigated. Accordingly, we performed a meta-analysis to examine the influence of GDM on left ventricular (LV) global longitudinal strain (GLS), assessed by speckle tracking echocardiography (STE), during pregnancy.

STUDY DESIGN

All echocardiographic studies assessing conventional echoDoppler parameters and LV-GLS in GDM women vs. healthy controls, selected from PubMed and EMBASE databases, were included. The risk of bias was assessed by using the National Institutes of Health (NIH) Quality Assessment of Case-Control Studies. The subtotal and overall standardized mean differences (SMDs) of LV-GLS were calculated using the random-effect model.

RESULTS

The full-texts of 10 studies with 1147 women with GDM and 7706 pregnant women without diabetes were analyzed. GDM women enrolled in the included studies were diagnosed with a small reduction in LV-GLS in comparison to controls (average value -19.4 ± 2.5 vs -21.8 ± 2.5 %, P < 0.001) and to the accepted reference values (more negative than -20 %). Substantial heterogeneity was detected for the included studies, with an overall statistic value I2 of 94.4 % (P < 0.001). Large SMDs were obtained for the included studies, with an overall SMD of -0.97 (95 %CI -1.32, -0.63, P < 0.001). Egger's test for a regression intercept gave a P-value of 0.99, indicating no publication bias. On meta-regression analysis, all moderators and/or potential confounders (age at pregnancy, BMI, systolic blood pressure and ethnicity) were not significantly associated with effect modification (all P < 0.05).

CONCLUSIONS

GDM is independently associated with subclinical myocardial dysfunction in pregnancy. STE analysis allows to identify, among GDM women, those who might benefit of targeted non-pharmacological and/or pharmacological interventions, aimed at reducing the risk of developing type 2 diabetes and cardiovascular complications later in life.

Assessment of immune cell profiles among post-menopausal women in the Women's Health Initiative using DNA methylation-based methods

BACKGROUND

Over the past decade, DNA methylation (DNAm)-based deconvolution methods that leverage cell-specific DNAm markers of immune cell types have been developed to provide accurate estimates of the proportions of leukocytes in peripheral blood. Immune cell phenotyping using DNAm markers, termed immunomethylomics or methylation cytometry, offers a solution for determining the body's immune cell landscape that does not require fresh blood and is scalable to large sample sizes. Despite significant advances in DNAm-based deconvolution, references at the population level are needed for clinical and research interpretation of these additional immune layers. Here we aim to provide some references for immune populations in a group of multi-ethnic post-menopausal American women.

RESULTS

We applied DNAm-based deconvolution to a large sample of post-menopausal women enrolled in the Women's Health Initiative (baseline, N = 58) or the ancillary Long Life Study (WHI-LLS, N = 1237) to determine the reference ranges of 58 immune parameters, including proportions and absolute counts for 19 leukocyte subsets and 20 derived cell ratios. Participants were 50-94 years old at the time of blood draw, and N = 898 (69.3%) self-identified as White. Using linear regression models, we observed significant associations between age at blood draw and absolute counts and proportions of naïve B, memory CD4+, naïve CD4+, naïve CD8+, memory CD8+ memory, neutrophils, and natural killer cells. We also assessed the same immune profiles in a subset of paired longitudinal samples collected 14-18 years apart across N = 52 participants. Our results demonstrate high inter-individual variability in rates of change of leukocyte subsets over this time. And, when conducting paired t tests to test the difference in counts and proportions between the baseline visit and LLS visit, there were significant changes in naïve B, memory CD4+, naïve CD4+, naïve CD8+, memory CD8+ cells and neutrophils, similar to the results seen when analyzing the association with age in the entire cohort.

CONCLUSIONS

Here, we show that derived cell counts largely reflect the immune profile associated with proportions and that these novel methods replicate the known immune profiles associated with age. Further, we demonstrate the value this methylation cytometry approach can add as a potential application in epidemiological studies.

Effect of intraoperative blood transfusion on inflammatory response in parturients with placenta previa undergoing cesarean section: A prospective observational study

Background

The neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and red cell distribution width (RDW) have been reported as useful biomarkers for evaluating inflammation and a predictor of surgical prognosis. Although there have been recent reports that transfusion may affect inflammatory responses, studies on the post-transfusion inflammatory response in parturients are rare. Therefore, this study aimed to observe changes in inflammatory response after transfusion during cesarean section (C-sec) through NLR, PLR, and RDW.

Methods

Parturients aged 20-50 years who underwent C-sec under general anesthesia due to placenta previa totalis from March 4, 2021, to June 10, 2021 were participated in this prospective observational study. We compared postoperative NLR, PLR, and RDW between the transfusion and non-transfusion groups.

Results

A total of 53 parturients were included in this study, of which 31 parturients received intraoperative transfusions during C-sec. There were no significant difference in preoperative NLR (3.6 vs. 3.4, p = 0.780), PLR (132.8 vs. 111.3, p = 0.108), and RDW (14.2 vs. 13.6, p = 0.062) between the two groups. However, postoperative NLR was significantly higher in the transfusion group than in the non-transfusion group (12.2 vs. 6.8, p < 0.001). Postoperative RDW was significantly higher in the transfusion group than in the non-transfusion group (14.6 vs. 13.9, p = 0.002) whereas postoperative PLR was not significantly different between the two groups (108.0 vs. 117.4, p = 0.885).

Conclusions

Postoperative NLR and RDW, the inflammatory biomarkers, were significantly higher in the transfused C-sec parturients. These results suggest a significant association between postoperative inflammatory response and transfusion in obstetric practice.

Low-Grade Inflammation in Gestational Diabetes Mellitus and Its Correlation with Maternal Insulin Resistance and Fetal Growth Indices

Introduction

Chronic low-grade inflammation (LGI) plays a role in the pathogenesis of gestational diabetes mellitus (GDM). LGI, on the one hand, promotes insulin resistance and at the same time, affects fetal development. The study aimed to use clinically feasible means to evaluate the association between maternal LGI and maternal insulin resistance and fetal growth indices by ultrasound in the third trimester.

Methods

A crossectional and descriptive study on 248 first-time diagnosed GDM in Vietnam.

Results

Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte (PLR) indices were significantly higher in GDM than in normal glucose-tolerant pregnancies (p = 0.048 and 0.016, respectively). GDM with LGI witnessed significantly higher systolic blood pressure, BMI, HbA1c, and significantly lower quantitative Insulin Sensitivity Check Index (QUICKI) than those without LGI. After adjusting for maternal BMI, fasting plasma glucose (FPG), age, and parity, C-reactive protein (CRP) was positively correlated with HOMA2-IR (B=0.13, p<0.01) and Mathews index (B=0.29, p<0.01). Regarding fetal characteristics, LGI was associated with fetal growth indices in the third trimester of GDM. NLR was negatively correlated with estimated fetal weight (EFW) (B=-64.4, p<0.05) after adjusting for maternal BMI and FPG. After adjusting for maternal BMI, FPG, age, and parity, PLR was negatively correlated with biparietal diameter (B=-0.02, p<0.01) and abdominal circumference (AC) (B=-0.16, p<0.05), and EFW (B=-1.1, p<0.01), and head circumference (HC) (B=-0.06, p<0.01); CRP was negatively correlated with AC (B=-0.16, p<0.001), EFW (B=-85.3, p<0.001), and HC (B=-5.0, p<0.001).

Conclusion

In the third trimester, LGI was associated with maternal glucose and insulin resistance in GDM. Moreover, LGI was associated with fetal characteristics in ultrasonic images. There were negative correlations between LGI and fetal developmental characteristics.

Platelet-Neutrophil Interaction and Thromboinflammation in Diabetes: Considerations for Novel Therapeutic Approaches

Thromboinflammation has become a topic of key interest in cardiovascular disease and the prevention of diabetes complications because of the interplay between thrombosis and inflammation in diabetes. Specifically, the significant risk of vascular thrombotic disease in diabetes highlights the need for new and better therapeutic targets to help manage and prevent vascular thrombo-occlusive disease in this condition. Similarly, the prominent role of inflammation in diabetes has sparked interest in anti-inflammatory agents to better prevent and control vascular disease. Investigations on the effects of anticoagulation and antiplatelet interventions in patients with diabetes and cardiovascular disease show a potential role for these agents in decreasing morbidity and mortality. Neutrophils and platelets are key players in inflammation and wound-healing response, respectively. The interaction between neutrophils and platelets is thought to be an important driver of thromboinflammation. Therefore, this review describes the mechanisms involved in platelet-neutrophil interactions that contribute to the development or exacerbation of thromboinflammation in the context of diabetes and its associated comorbidities. The effects observed by the antithrombotic/antidiabetic treatments and physical activity/dietary interventions on attenuating thromboinflammation are discussed. These data suggest that mechanisms involved in platelet-neutrophil interaction, platelet activation/aggregation, and the recruitment of neutrophils have a promising potential to become therapeutic targets to decrease thromboinflammation in patients with diabetes.

Association of subclinical markers of inflammation with preterm premature rupture of membranes and adverse neonatal results: a case control study

AIM

The study aims to investigate the relationship between subclinical inflammatory factors, which are known to be closely related to inflammation, with preterm premature rupture of membranes (PPROM) and adverse postpartum outcomes.

MATERIALS AND METHODS

The case control type study was conducted between January 1, 2021, and January 2022. 525 pregnant women, including 272 PPROM and 253 normal patients, were added to the study.

RESULTS

There was a positive relationship between PPROM and PCT (platelet crit), MPV (mean platelet volume), NLR (neutrophil-to-lymphocyte ratio), and MLR (monocytes to lymphocyte ratio) values. ROC analysis, PCT > 0.19, MPV > 8.78, NLR > 2.82, and MLR > 0.24 were significantly related to improved risk of PPROM (P < 0.05). In logistic regression analysis, a one-unit rise in PCT resulted in a 3.9-fold rise in RDS risk and a one-unit increase in NLR resulted in a 1.6-fold significant rise in sepsis risk (p < 0.05).

CONCLUSION

NLR and PCT parameters were found to be related to adverse neonatal outcomes.

Isolated and Combined Effect of Age and Gender on Neutrophil-Lymphocyte Ratio in the Hyperglycemic Saudi Population

Inflammation is pivotal to the pathogenesis of diabetes mellitus (DM), but pathological alterations of the neutrophil−lymphocyte ratio (NLR), an emerging inflammatory index in DM management, remains understudied. The aim of this study is to examine the relationship between NLR and glycemic control in the Saudi population. Gender, age, WBC count, and fasting blood glucose (FBG) were obtained from Al-Borg Medical Laboratories for 14,205 subjects. Means, prevalence, risk measures, and the diagnostic accuracy of elevated NLR and hyperglycemia (HG) were evaluated. Subjects with elevated NLR (>3) had significantly higher FBG (105.10 ± 0.33 vs. 114.0 ± 2.81) and NLR was significantly elevated in impaired fasting glycemia (IFG; 1.21 ± 0.01 vs. 1.25 ± 0.01) and HG (1.21 ± 0.01 vs. 1.39 ± 0.02). Elevations of NLR in HG but not in IFG persisted across all age groups except young males and elderly females. The prevalence of elevated NLR in hyperglycemic subjects was 4.12% compared to 2.16% in subjects with normal FBG. HG was more prevalent in subjects with elevated NLR (17.33% vs. 12.46%) who had a relative risk (RR) of 1.68 (95% CI = 1.38−2.06, p < 0.0001) and an odds ratio (OR) of 1.94 (95% CI = 1.48−2.56, p < 0.0001) to be hyperglycemic. Nevertheless, NLR failed to discriminate individuals with normal FBG from those with HG based on ROC curve analysis. Pathological fluctuations in NLR may serve as supportive evidence in DM management.

Association of maternal neutrophil count in early pregnancy with the development of gestational diabetes mellitus: a prospective cohort study in China

OBJECTIVE

We evaluated the potential role of maternal serum levels of neutrophils in the first trimester of pregnancy in the prediction of gestational diabetes mellitus (GDM).

METHODS

This prospective cohort study enrolled singleton pregnant women before gestational weeks 16 and evaluated them until delivery. Among the 1467 pregnant women who performed prenatal care before 14 weeks of gestation in the cohort, a total of 731 were eligible for the final analysis. The associations between neutrophil counts, white blood cell count, neutrophil to lymphocyte ratio, and GDM (assessed by a 75-g oral glucose tolerance test between 24 and 28 weeks) were evaluated by multivariate logistic regression.

RESULTS

Neutrophil count outperformed the neutrophil to lymphocyte ratio and white blood cell count in predicting GDM occurrence. We applied a smoothing function and found that neutrophil count was associated with both fasting blood glucose (FBG) (p=.0149) and 1-h postprandial blood glucose (PBG) (p=.0187) after adjustment pre-pregnancy body mass index, family history of diabetes, and age. Logistic regression analysis found that the highest neutrophil count level (6.28-14.73 × 10⁹/L) had a 1.85-fold (95% CI 1.10, 3.09) increased risk of GDM compared with that of the lowest tertile (1.47-4.82 × 10⁹/L).

CONCLUSIONS

The results indicated an association between higher neutrophil levels and GDM occurrence.

The impact of opioid exposure during pregnancy on the human neonatal immune profile

BACKGROUND

The increasing magnitude of the opioid crisis and rising rates of neonatal abstinence syndrome (NAS) diagnoses highlight the need for increased research into how maternal substance use during pregnancy can impact the neonatal immune profile and its functionality. We hypothesized that neonates with opioid exposure would have reduced proportions of some immune cells, an anti-inflammatory cytokine profile, reduced T cell proliferation, and monocyte bacterial killing activity compared to the control population.

METHODS

The present study compares immune cell populations, inflammatory and anti-inflammatory cytokine and chemokine levels in the serum, and monocyte and T cell functional activity using umbilical cord samples from neonates with known opioid exposure during gestation and from control neonates without known exposure.

RESULTS

Our findings demonstrated a significant reduction in neutrophils, decreased levels of inflammatory cytokines in the serum, and reduced IL-2 production during in vitro CD4⁺ T cell proliferation in neonates exposed to opioids compared to controls. The neutrophil findings were supported by retrospective analysis of an extended network of deidentified patient records.

CONCLUSIONS

This study is the first of its kind to evaluate differences in neonatal immunity as a result of opioid exposure in the human population that will inform continued mechanistic studies.

IMPACT

The opioid epidemic has become a public health crisis in the United States, and the corresponding incidence of neonatal abstinence syndrome (NAS) have risen accordingly. New research is required to understand the short and long-term health impacts of opioid exposure to the neonate. This is the first human study to investigate the immunologic profile and functionality in neonates with known opioid exposure in utero. The abundance of neutrophils and the ratio of neutrophils to lymphocytes is significantly reduced along with inflammatory cytokines and chemokines following opioid exposure during pregnancy. The immune profile in opioid-exposed neonates may promote susceptibility to infection.