Evaluation of vitamin D in the diagnosis of infants with respiratory distress, the clinical value: A systematic review and meta-analysis.

INTRODUCTION: Respiratory distress (RD) is the most common cause of admission to the Neonatal Intensive Care Unit (NICU). The role of Vitamin D in the development and fortification of fetal pulmonary architecture and the synthesis of surfactants is well-documented. While different serum levels of 25-hydroxyvitamin D (Vit. D) have been studied for their diagnostic significance in RD, there is limited research on how it specifically affects the development of respiratory problems in infants and their mothers. The purpose of the present study is a systematic review and meta-analysis to evaluate the correlation between serum levels of Vit. D in mothers and newborns with RD, and to determine the impact of treating either population on the clinical outcomes of afflicted infants. METHODS: A comprehensive literature search was conducted across various databases, including PubMed, ScienceDirect, Cochrane Library, ISI, and Google Scholar, using a combination of keywords such as RD, diagnosis, vitamin D, mothers, infants, vitamin D supplementation, Respiratory distress syndrome(RDS), and Transient Tachypnea of Newborn (TTN). The search was carried out until March 2024.The level of vitamin D in both mothers and their infants was systematically extracted and analyzed to determine the diagnostic efficacy of Vit. D levels. The mean difference (MD) was calculated along with a 95% confidence interval to determine the association between the Vit. D levels in newborns and their mothers and the likelihood of RD, RDS and TTN in infants. To assess potential publication bias, a funnel plot was generated and Egger's regression test was applied, utilizing a random-effects model. RESULTS: Initially a total of 298 relevant articles was retrieved. Among them, 17 articles with a total of 1,582 infants (745 cases and 837 healthy controls) met the criteria as eligible studies. Of these six were prospective cohort studies, four retrospective case-control studies, four randomized controlled trials (RCTs), and three descriptive-analytical studies. The meta-results revealed a significant association between Vit. D levels and risk of RD in infants (MD = 6.240, 95 %CI: 4.840-7.840, P < 0.001) and mothers (MD = 8.053, 95 %CI: 4.920-11.186, P < 0.001). Furthermore, a strong association was found for risk of RDS (MD = 5.493, 95 %CI: 3.356-7.631, P < 0.001) in infants and TTN (MD = 6.672, 95 %CI: 4.072-9.272, P < 0.001), (MD = 8.595, 95%CI: 4.604-12.586, P < 0.001) both in infants and mothers. Administering 50,000 units of vitamin D to mothers (MD = 8.595, 95 %CI: 4.604-12.586, P < 0.001) prior to childbirth was observed to reduce the likelihood of RD in newborns by 64 % (RR = 0.36, 95 %CI: 0.23-0.57, P < 0.001). Supplemental vitamin D provided to infants was associated with several clinical benefits. CONCLUSION: Our meta-results indicated a significant correlation between serum levels of Vit. D and the risk of RD, RDS and TTN in infants. Prophylactic maternal administration of vitamin D plays a protective role against neonatal RD. Additionally, providing vitamin D to premature infants has shown a significant impact in reducing the incidence of respiratory complications.

Micronutrients intake and genetic variants associated with premature ovarian insufficiency; MASHAD cohort study.

BACKGROUND AND AIM: premature ovarian insufficiency (POI) is defined as the menopause before 40 years of age, and its prevalence is reported to be two-fold higher in Iranian women than the average for woman globally. POI is associated with several cardio/cerebrovascular complications as well as an increased overall mortality. Genetic factors, and serum levels of minerals and vitamin D, have been reported to be related to the prevalence of POI. We have investigated the association between some POI -related genotypes with the serum levels of some important micronutrients. METHODS: One hundred and seventeen women with POI and 183 controls without any renal, hepatic, and thyroid abnormalities were recruited as part of the MASHAD study. Demographic and anthropometric features were recorded and blood samples were collected and processed. DNA was extracted from the buffy coat of blood samples from all participants and 8 POI-related single nucleotide polymorphisms (SNPs) were determined using ASO-PCR or Tetra ARMS-PCR. Serum minerals and vitamin D concentrations were measured using routine methods. RESULTS: In women with POI, serum copper, phosphate, and calcium were significantly different for those with rs244715, rs16991615, and rs4806660 genotypes, respectively. In our control population, significant differences were also found in serum copper concentrations between different genotypes of rs4806660, rs7246479, rs1046089, and rs2303369. After adjusting for all confounding factors, the women with POI carrying TC genotype (rs4806660) had a lower risk to have serum copper levels < 80 (µg/dL) than those carrying a TT genotype. Furthermore, women with POI carrying GG genotype (rs244715) had a 6-fold higher risk to have serum copper levels > 155 than those carrying AA genotype. CONCLUSION: The C and G alleles of the rs4806660 and rs244715 polymorphisms respectively are independently associated with serum copper in women with POI. Further studies are necessary to investigate the association of serum copper and other micronutrients in women and other POI -related polymorphisms.

Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2.

BACKGROUND AND OBJECTIVE: Corona virus causes respiratory tract infections in mammals. The latest type of Severe Acute Respiratory Syndrome Corona-viruses 2 (SARS-CoV-2), Corona virus spread in humans in December 2019 in Wuhan, China. The purpose of this study was to investigate the relationship between type 2 diabetes mellitus (T2DM), and their biochemical and hematological factors with the level of infection with COVID-19 to improve the treatment and management of the disease. MATERIAL AND METHOD: This study was conducted on a population of 13,170 including 5780 subjects with SARS-COV-2 and 7390 subjects without SARS-COV-2, in the age range of 35-65 years. Also, the associations between biochemical factors, hematological factors, physical activity level (PAL), age, sex, and smoking status were investigated with the COVID-19 infection. RESULT: Data mining techniques such as logistic regression (LR) and decision tree (DT) algorithms were used to analyze the data. The results using the LR model showed that in biochemical factors (Model I) creatine phosphokinase (CPK) (OR: 1.006 CI 95% (1.006,1.007)), blood urea nitrogen (BUN) (OR: 1.039 CI 95% (1.033, 1.047)) and in hematological factors (Model II) mean platelet volume (MVP) (OR: 1.546 CI 95% (1.470, 1.628)) were significant factors associated with COVID-19 infection. Using the DT model, CPK, BUN, and MPV were the most important variables. Also, after adjustment for confounding factors, subjects with T2DM had higher risk for COVID-19 infection. CONCLUSION: There was a significant association between CPK, BUN, MPV and T2DM with COVID-19 infection and T2DM appears to be important in the development of COVID-19 infection.

Association of Genotypes of ANGPTL3 with Vitamin D and Calcium Concentration in Cardiovascular Disease.

One of the leading causes of mortality worldwide is cardiovascular disease, which is influenced by some variables, including calcium and vitamin D. This study aimed to assess the relationship between Angiopoietin-Like 3 (ANGPTL3) gene polymorphisms with vitamin D and calcium levels in cardiovascular disease (CVD) patients. In this research, 1002 people participated. Participants' anthropometric parameters, and FBG, calcium, and vitamin D were assessed. Blood samples were used to extract DNA. Taqman®-based polymerase chain reaction (PCR) was used to conduct genetic analysis for the rs10789117 and rs17458195. Statistical analysis was applied to determine differences across subgroups and the relationship between polymorphisms and disease. Age, body mass index (BMI), fasting Blood Sugar (FBG), phenylalanine ammonia-lyase (PAL), and smoking history were significantly correlated with CVD. Vitamin D was statistically associated with rs10789117 and rs17458195 in non-CVD individuals. In the moderate group, individuals with the C allele in rs10789117 showed a tenfold increase in vitamin D deficiency compared to those with the A allele. However, in rs11207997, individuals with the T allele had 5 to 6 times higher vitamin D deficiency than those with the C allele in all groups. This research demonstrates the relationship between some ANGPTL3 gene polymorphisms and complement levels in CVD patients. It may be concluded that individuals carrying these variants would likely benefit from using vitamin D and calcium supplements to avoid CVD.

Comparison between statistical and machine learning methods to detect the hematological indices with the greatest influence on elevated serum levels of low-density lipoprotein cholesterol.

INTRODUCTION: Elevated levels of low-density lipoprotein-cholesterol (LDL-C) is a significant risk factor for the development of cardiovascular diseases (CVD)s. Furthermore, studies have revealed an association between indices of the complete blood count (CBC) and dyslipidemia. We aimed to investigate the relationship between CBC parameters and serum levels of LDL. METHOD: In a prospective study involving 9704 participants aged 35-65 years, comprehensive screening was conducted to estimate LDL-C levels and CBC indicators. The association between these biomarkers and high LDL-C (LDL-C≥130 mg/dL (3.25 mmol/L)) was investigated using various analytical methods, including Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Neural Network (NN), and Support Vector Machine (SVM) methodologies. RESULT: The present study found that age, hemoglobin (HGB), hematocrit (HCT), platelet count (PLT), lymphocyte (LYM), PLT-LYM ratio (PLR), PLT-High-Density Lipoprotein (HDL) ratio (PHR), HGB-LYM ratio (HLR), red blood cell count (RBC), Neutrophil-HDL ratio (NHR), and PLT-RBC ratio (PRR) were all statistically significant between the two groups (p<0.05). Another important finding was that red cell distribution width (RDW) was a significant predictor for higher LDL levels in women. Furthermore, in men, RDW-PLT ratio (RPR) and PHR were the most important indicators for assessing the elevated LDL levels. CONCLUSION: The study found that sex increases LDL-C odds in females by 52.9 %, while age and HCT increase it by 4.1 % and 5.5 %, respectively. RPR and PHR were the most influential variables for both genders. Elevated RPR and PHR were negatively correlated with increased LDL levels in men, and RDW levels was a statistically significant factor for women. Moreover, RDW was a significant factor in women for high levels of HDL-C. The study revealed that females have higher LDL-C levels (16 % compared to 14 % of males), with significant differences across variables like age, HGB, HCT, PLT, RLR, PHR, RBC, LYM, NHR, RPR, and key factors like RDW and SII.

Blood indices of inflammation and their association with hypertension in smokers: analysis using data mining approaches.

Although there have been reports on the association between smoking and increased level of inflammatory markers in hypertensive this has not been assessed prospectively in a large, modern cohort using data mining approaches. We conducted a cross-sectional analysis of the Mashad trial which was a prospective. 2085 smokers aged 35 to 65 years was studied. Inflammatory indices measured included: Hemoglobin-Platelet Ratio (HPR), Uric acid-high Density Lipoprotein (HDL) Ratio (UHR), Neutrophil-Lymphocyte Ratio (NLR), Systemic Immune Inflammation (SII) index, WBC, Platelet-Lymphocyte Ratio (PLR), and RBC Distribution Width (RDW). The association between these parameters and smoking in hypertensive individuals was examined. Over the course of the 6-year monitoring period, 585 peoples had HTN of whom the majority was female (59%). As per the LR analysis, there was a significant association between hypertension and age, WBC, SII, PLR in female smokers, as well as age and PLR in male smokers. (p-value < 0.05). PLR (OR = 0.993, CI 95% (0.987, 0.999)) and age (1.080 (1.058, 1.102)) for male and WBC (1.340 (1.139, 1.577)) and age (1.091 (1.070, 1.113)) for female exhibits the most appropriate estimate. Using the DT model for male individuals, those with, age ≥ 64 years, and SII < 336 had the correlated with hypertension prevalence (76%). For females, those with age ≥ 62 years, WBC ≥ 6.1, and SII < 445.634 had the highest risk of HTN. Age and SII for smoker males and age and WBC for smoker females showed the strongest correlation with hypertension. Age and WBC were the most significant indicators for predicting HTN.

Platelet distribution widths and white blood cell are associated with cardiovascular diseases: data mining approaches.

OBJECTIVE: To investigate the association between cardiovascular diseases (CVDs) and haematologic factors in a cohort of Iranian adults. METHOD: For a total population of 9,704 aged 35 to 65, a prospective study was designed. Haematologic factors and demographic characteristics (such as gender, age, and smoking status) were completed for all participants. The association between haematologic factors and CVDs was assessed through logistic regression (LR) analysis, decision tree (DT), and bootstrap forest (BF). RESULTS: Almost all of the included factors were significantly associated with CVD (p<.001). Among the included factors, were: age, white blood cell (WBC), and platelet distribution width (PDW) had the strongest correlation with the development of CVD. For unit OR interpretation, WBC has been represented as the most remarkable risk factor for CVD (OR: 1.22 (CI 95% (1.18, 1.27))). Also, age is associated with an increase in the odds of CVD + occurrence (OR: 1.12 (CI 95% (1.11, 1.13))). Moreover, males are times more likely to develop CVD than females (OR: 1.39 (CI 95% (1.22, 1.58))). In DT model, age is the best classifier factor in CVD development, followed by WBC and PDW. Furthermore, based on the BF algorithm, the most crucial factors correlated with CVD are age, WBC, PDW, sex, and smoking status. CONCLUSION: The obtained result from LR, DT, and BF models confirmed that age, WBC, and PDW are the most crucial factors for the development of CVD.