BACKGROUND: Premature Ovarian Insufficiency (POI) is associated with infertility. Little is known about the potential circulating biomarkers that could be used to predict POI. We have investigated the possible association between white and red blood cells, platelet indices, and eight established single nucleotide polymorphisms (SNPs) associated with POI risk.
METHODS: 117 women with premature menopause (PM) and 183 healthy women without a history of menopause before age 40 were recruited for this study. The tetra-primer amplification refractory mutation system-polymerase chain reaction (Tetra ARMS PCR) and allele-specific oligonucleotides-polymerase chain reaction (ASO-PCR) were carried out for genotyping for eight SNPs reported to be associated with POI. Decision tree analysis was applied to test the diagnostic value of hematological parameters to identify the risk of POI.
RESULTS: Women with POI had lower neutrophil (NEUT) and white blood cell (WBC), whereas red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and mean cell hemoglobin (MCH) were higher. Platelet (PLT) count was also lower in affected women. Our data also indicated that HGB and HCT count were significantly associated with rs16991615 and rs244715. Mean Platelet volume (MPV) and platelet distribution width (PDW) were associated with rs244715, rs1046089, rs4806660, and rs2303369. The rs16991615 was also associated with RBC count, and rs451417 was associated with NEUTs. The decision tree (DT) model reveals that women with the NEUT count at a cut-off value of less than 2.8 and HCT equal to or more than 38.7% could be identified as high-risk cases for POI. Overall, we found the DT approach had a sensitivity = 85%, specificity = 72%, and accuracy = 74%.
CONCLUSIONS: The genetic variants involved in POI are associated with changes in reproductive hormone levels and with changes in hematological indices.

Background Diabetic patients exhibit increased platelet activity. Insulin inhibits the activation of platelets. Therefore, a relative or absolute deficiency of insulin would increase platelet reactivity. The younger (larger) platelets are also more metabolically and enzymatically active. If detected early, microvascular complications could alert us regarding the possible macrovascular complications. Thus, the aims and objectives of the present study were to determine platelet indices in patients with type 2 diabetes mellitus with controls (non-diabetics) and to find an association of platelet indices with microvascular complications.  Material & methods In this prospective case-control study conducted from 2021 to 2022 (2 years), a total number of 200 subjects were taken and were divided into two groups of 100 each, cases (I) and controls (II). The cases included patients of diabetes mellitus (DM) of a duration of more than 5 years, which were further divided into two groups of 50 each, IA and IB. Group IA consisted of patients with diabetes mellitus of a duration of more than five years with at least one microvascular complication and group IB was diabetics of more than five years duration without any microvascular complications, which includes diabetic retinopathy, diabetic nephropathy, and diabetic neuropathy. An automated cell counter (Thermo Fisher Scientific, Waltham, MA, US) provided hemoglobin values along with the platelet count and platelet indices, i.e. mean platelet volume (MPV), platelet large cell ratio (P-LCR), and platelet distribution width (PDW). Results The present study consisted of 200 subjects divided into 2 groups of 100 each, cases (I) and controls (II). The average MPV (9.4-12.3 femtolitre) in diabetics was 12.089±1.450 fL as compared to the controls where it was 9.464±1.424 fL with a statistically significant p-value of 0.001. PDW among the cases was 16.868±2.352 fL while in controls, it was 12.753±10.559 fL (p=0.001). The mean P-LCR was 34.975±8.056% among the cases, in comparison to the mean P-LCR among the controls, which was 26.031±7.004 (p=0.001). In this study, the MPV, PDW, and P-LCR were significantly raised in individuals having diabetes with microvascular complications when compared with patients without complications. The mean MPV in diabetics with complications was 12.5960±0.95660 fL and in those without complications was 11.5820±1.67609 fL (with a p-value of P = 2×10-3)which is statistically significant. Similar results were obtained in cases of PDW and P-LCR. The mean PDW in diabetics with complications was 17.1140±2.58228 fL and without complications was 15.6220±2.10532 fL ((with a p-value of P = 2×10-3)). The mean P-LCR in diabetics with microvascular complications was 35.408±3.5490% and without complications was 33.542±4.8694% (with a p-value of P = 3.1×10-3). Conclusion Based on the findings of the present study, there is a statistical correlation between type 2 diabetes and variations in platelet indices, resulting in the associated microvascular complications. Higher MPV, PDW, and P-LCR values suggest that these parameters are more reliable predictors of early vascular complications in individuals with type 2 diabetes mellitus and can be utilized as an easy-to-use, low-cost method. They are a readily available, economical, practical, noninvasive, and simple-to-understand approach for assessing platelet dysfunction, which in turn helps anticipate the existence of microvascular complications.

BACKGROUND: Platelets are pivotal players in the pathophysiology of pre-eclampsia, with observed lower counts in affected individuals compared to normotensive counterparts. Despite advancements, the elusive cause of pre-eclampsia persists, motivating intense global efforts to identify reliable predictors. The currently recommended predictors of pre-eclampsia are not readily available in many resource-limited regions like Nigeria. This cohort study explores the potential of mean platelet volume (MPV) and platelet distribution width (PDW) as predictive markers of early-onset pre-eclampsia. Both platelet indices are components of the full blood count, a widely available routine test in pregnancy.
METHODS: In this prospective cohort study, 648 healthy pregnant women attending antenatal care at Lagos State University Teaching Hospital and General Hospital Ifako-Ijaiye, Lagos, were recruited between 14-18weeks gestational age. Platelet count (PC), MPV and PDW were measured from their venous blood at recruitment. Participants were monitored until 34weeks of gestation, focusing on the occurrence of early-onset preeclampsia as the outcome of interest. Individuals with chronic medical conditions were excluded from the study. Data analysis involved t-test, Chi-Square and Mann-Whitney U tests, with statistical significance set at a confidence level of 95% and p < 0.05. Sensitivity, specificity, and predictive values were determined using receiver operating characteristics (ROC) curves.
RESULTS: The incidence of early-onset pre-eclampsia in the study was 5.9%. Women who later developed pre-eclampsia had higher median MPV and PDW at 14-18weeks (10.8 fl. and 24.8 fl.) compared to normotensive women (8.1 fl. and 13.3 fl.)(p < 0.001). The median PC was lower in pre-eclamptics (190 × 103/µl) compared to normotensives(264 × 103/µl)(p < 0.001). Using Youden\'s test, cut-off values identified: PC < 211.5 × 103/µl, MPV > 9.4 fl., and PDW > 21.3 fl., predicted early-onset pre-eclampsia with 96.6% sensitivity and 65.6% specificity for PC; 79.3% sensitivity and 97.7% specificity for PDW; and 82.8% sensitivity and 96.1% specificity for MPV. Cut-offs of PC < 185 × 103/µl, MPV > 10.7 fl., and PDW > 28.3 fl., predicted severe early-onset pre-eclampsia with 100.0% sensitivity and 90.9% specificity for PC, 100.0% sensitivity and 99.4% specificity for MPV, and 100.0% sensitivity and 99.8% specificity for PDW, with corresponding area under the ROC curves of 0.983, 0.996, and 0.998, respectively.
CONCLUSIONS: The evaluation of MPV and PDW between 14 and 18 weeks of gestation appears to be a reliable predictor of severe early-onset pre-eclampsia.

Stroke is the cause of one in eight deaths and adds a dreadful burden of disability for the patients. Ischemic stroke is caused by a loss of blood supply to brain due to sudden occlusion of the arterial system, caused by an emboli or thrombus. Our aim was to correlate platelet indices, total cholesterol ratio, and various comorbidities with stroke.
A cross-sectional study was performed from 2020-2022 with 132 stroke patients admitted to the SRM Medical College Hospital and Research Center, India. Detailed clinical examination was performed. Venous blood samples were drawn at the time of admission to estimate platelet count, mean platelet volume (MPV), platelet distribution width (PDW), and platelet crit (PCT). Overnight fasting serum samples were obtained for lipid profiling.
Among the participants in our study, maximum belonged to the age group 50 to 59 years (34.1%) and majority were males (79.5%). In terms of comorbidities, 85.6% of the participants had diabetes, 42.4% had hypertension and 22% had dyslipaedemia. All platelet and lipid parameters were found to be similar between patients with and without comorbidities. While all platelet indices increased with the increase in severity of stroke, we found that PDW is most reliable in predicting stroke with an area under the receiver operator curve of 0.942, with a sensitivity and specificity of 92.1% at cut-off value 14. All platelet parameters also significantly increased in patients with severe lipid dysfuction, establishing a correlation between lipid profile, platelet indices and stroke.
We found a significant relationship between all platelet parameters and stroke. Thus, we believe that patients with risk factors for atherosclerosis should have their platelet indices assessed periodically before the development of cerebrovascular events. Furthermore, dyslipidemia if properly treated, is a modifiable risk factor for stroke, which can decrease morbidity and mortality leading to a healthier society.

Previous works have shown that hematological system can be affected by exposure to lead; however, the effects of multiple metals on platelets remain elusive within the population from metal-contaminated areas. Hence, the study enrolled 609 participants, with 396 from a metal-exposed area and 213 from a control area. Platelet count (PLT), mean platelet volume (MPV), thrombocytocrit (PCT), platelet to large cell ratio (P-LCR), and platelet distribution width (PDW) were selected to evaluate platelet function. Stepwise regression and Lasso regression were utilized to identify the most influential metals. Moreover, the generalized linear model (GLM), Bayesian kernel machine regression (BKMR) models, and quantile g-computation were employed to estimate the individual or combined effects associations between 12 urinary metals and platelet indices. The results revealed all metals except vanadium, copper, strontium, and molybdenum were significantly higher in the exposed group. The GLM models indicated that urinary metals, including lead, antimony, and arsenic, exhibited associations with PLT, MPV, P-LCR, and PDW. Quantile g-computation and BKMR demonstrated negative correlations between metal mixtures and MPV as well as PDW. In conclusion, the study highlights the associations between multiple metal exposures and platelet indices, suggesting that elevated levels of the metal mixture may impede platelet activation in the population in metal-contaminated areas.

UNASSIGNED: Platelet indices (PIs) are hematological parameters that indicate the number, morphology, and activation of platelets. Although some clinical trials suggest an association between PIs and the risk of stroke, the lack of robust evidence is attributed to confounding effects and reverse causation.
UNASSIGNED: This study aimed to evaluate the association between PIs and stroke risk through Mendelian randomization (MR) while exploring the mediating effect of blood pressure in this association.
UNASSIGNED: We identified genetic variants associated with PIs, including platelet count (PLT), platelet distribution width (PDW), mean platelet volume (MPV), and platelet crit (PCT), in the UK Biobank (n = 350,474). Relevant genome-wide association studies were utilized to gather summary statistics pertaining to the traits of interest. We primarily used the inverse-variance weighted analysis to obtain estimates for individual causal power.
UNASSIGNED: We observed a positive correlation between genetically predicted increases in PCT levels with the stroke onset [PCT: OR (95%CI) = 1.113(1.047, 1.183), p < 0.001]. However, no significant causal relationship was found between PLT, PDW, and MPV and the risk of stroke [PLT: OR (95%CI) = 1.037(0.979, 1.098), p = 0.221; PDW: OR (95%CI) = 0.973(0.923, 1.024), p = 0.294; MPV: OR (95%CI) = 0.990(0.945, 1.038), p = 0.675]. Multivariable MR analyses and mediation analysis found that the proportion mediated by systolic blood pressure (SBP) is 23.71% [95%CI (10.85-33.31%)] and the proportion mediated by diastolic blood pressure (DBP) is 28.09% [95%CI (12.92-39.63%)].
UNASSIGNED: This large MR study presents evidence for the potential causal relationship between the PCT level and the risk of ischemic stroke, which might be mediated by blood pressure.

BACKGROUND: Activated platelets exert a key role in the pathogenesis of preeclampsia (PE). There is evidence of distinctive patterns of platelet indices in PE in comparison to healthy pregnancies, therefore these indices can be potential tools for PE detection, risk stratification, and management. Considering the vascular aspects of its pathophysiology, PE is characterized by the increased levels of soluble FMS-like tyrosine kinase-1 (sFlt-1) an antiangiogenic factor, and reduced placental growth factor (PlGF), a proangiogenic factor. This study aimed to assess the platelet indices in hypertensive disorders of pregnancy (HDP) and its correlation with angiogenesis-related biomarkers.
METHODS: The groups for the study were: control (n = 114); gestational hypertension; (n = 112), and PE (n = 42). The platelet indices included were platelet counts (PLT-I and PLT-F), mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), platelet large cell ratio (P-LCR), and immature platelet fraction (IPF# and IPF%). Serum levels of sFlt-1 and PlGF were assessed.
RESULTS: PLT-I, PLT-F, and PCT% were lower in PE, while MPV, PDW, P-LCR, IPF%, and IPF# were increased. The parameter MPV presented the best performance for the discrimination of PE. There was a moderate positive correlation between sFlt-1 levels and MPV, PDW, and P-LCR.
CONCLUSIONS: Platelet indices can be potentially applied as additional tools for the diagnosis and management of HDP. Activated platelets may act as an extra source of sFlt-1 in PE.

Objective. The present study was directed to assess the correlation between leukocyte and platelet indices and microvascular complications in patients with type 2 diabetes mellitus (T2DM). Methods. A prospective cross-sectional study was conducted between January 2020 and May 2021 at a tertiary healthcare center. Sixty T2DM patients, who fulfilled the inclusion and exclusion criteria, were included into the study and divided into 2 groups: T2DM patients with microvascular complications and T2DM patients without vascular complications. Clinical history was taken and examinations (routine complete blood count) were done to obtain platelet indices, neutrophillymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) were obtained and tabulated. A correlation was statistically analyzed from the obtained data, p value <0.05 was considered to be statistically significant. Results. From the patients with microvascular complications, 18 cases suffered from retinopathy and nephropathy. Majority of the participants suffered from moderate non-proliferative retinopathy. The creatine median and absolute neutrophil count (ANC) were significantly higher in T2DM patients with microvascular complications (p<0.0001 and p<0.0054, respectively) compared to T2DM patients without vascular complications. No significant correlation was found between platelet indices, NLR, PLR with regard to fasting blood sugar, post prandial blood sugar, HbA1C in T2DM patients. Conclusions. Since no significant correlation was found between the different platelet indices and microvascular complications, it is evident that these markers cannot be used as the predictors of microvascular complications in T2DM patients.

This study investigates the relationship between smoking and blood parameters in the Iranian Kurdish population.
The current study was conducted based on the recruitment phase of the Ravansar Non-Communicable Disease (RaNCD) cohort study.
Current smokers had higher levels of RBC count, HCT, HGB, MCV, MCH, MCHC, WBC count, and GR%, than in other groups significantly. Passive smokers had higher levels of PLT count and PCT statistically. The increasing exposure time of smoking positively affected WBC count, GR%, PLT count, PCT, and RDW in female passive smokers. In addition, heavy smokers, as well as participants with a higher duration time of smoking, had the same results for significantly lower levels of lymphocyte and monocyte and a higher level of RBC indices.
According to the present study, along with the current smokers, the intensity of smoking, as well as the duration time of the smoke, could have a positive correlation with blood parameters. Furthermore, passive smokers and specifically secondhand female smokers were more vulnerable to smoke.

The aim of the study was to determine the association between platelet indices and obesity in children. A total of 190 overweight or obese children (mean age: 13.29 ± 2.54, M/F: 0.74) and 100 normal-weight children (mean age: 12.72 ± 2.23, M/F:1.04) were enrolled in the study. Platelet count (PLT), platelet indices, and ratios were determined. No significant difference was observed in terms of mean platelet volume (MPV) and platelet distribution width (PDW) levels and MPV/plateletcrit (PCT) and PDW/PCT ratios between overweight, obese, and normal-weight groups, whereas significant differences were observed in terms of PLT, PCT, MPV/PLT, and PDW/PLT ratios between each group. PLT and PCT levels were significantly higher in the obese group than in the overweight and normal-weight groups (P = 0.003, P = 0.002, respectively). Children with obesity had lower MPV/PLT and PDW/PLT ratios than the other groups (P = 0.001, P = 0.02, respectively). Overweight and obese children with insulin resistance (IR) had higher PLT and lower MPV/PLT, and PDW/PLT ratios than the children without IR (P = 0.034, P = 0.04, P = 0.013, respectively).
CONCLUSIONS: Significant differences were observed in terms of PLT, PCT, MPV/PLT, and PDW/PLT between overweight, obese, and normal-weight children.
BACKGROUND: • Obesity is associated with a chronic low-grade systemic inflammation. • Platelets play a crucial role in coagulation, hemostasis, thrombosis, immunomodulatory processes, inflammation, and atherothrombosis.
BACKGROUND: • Significant differences were observed in terms of PLT, PCT, MPV/PLT, and PDW/PLT between overweight, obese, and normal-weight children. • Overweight and obese children with insulin resistance had higher PLT and lower MPV/PLT and PDW/PLT ratios than the children without insülin resistance.