A Study to Delineate the Immunohistological Parameters of Active Versus Stable Vitiligo Using S100, Melan A in Conjunction with CD4 and CD8 Immunohistochemistry Markers.

Background: Vitiligo is an autoimmune pigmentary disorder where it is important to assess the disease status (active/stable) to guide therapeutic decisions.

Aim And Objectives: We aimed to compare expression of Melan A and S100 in active and stable vitiligo lesions and correlate them with CD4 and CD8 T cells.

Patients And Methods: Skin biopsies from 45 clinically diagnosed vitiligo patients (25 active and 20 stable) were taken for histopathological analysis.

Effect of various surface treatments on the shear bond strength of 3D-printed denture base resins.

Evaluation of various surface treatments is of interest to measure Shear Bond Strength (SBS) in 3D-printed denture base resins. Hence, sixty specimens were organized into control and three experimental groups: air abrasion, silica coating, and plasma treatment. Plasma treatment produced the strongest SBS result of 14.

The impact of chronic kidney disease on health-related quality of life (HRQoL): key insights from a hospital-based cross-sectional study.

Introduction: This study explores the health-related quality of life (HRQoL) in chronic kidney disease (CKD) patients, analyzing the impact of socio-demographic factors (such as age, education, and income) and clinical factors (including disease stage, comorbidities, and treatment type). The study aims to assess factors for improving patient outcomes and enhancing the overall well-being of CKD patients.

Methods: This cross-sectional study, conducted at the nephrology clinic of a public teaching hospital, involved 560 randomly selected participants.

S100A12 Protein Levels in Juvenile Idiopathic Arthritis (JIA): a Systematic Review and Meta-Analysis.

Background: Juvenile idiopathic arthritis (JIA) is a childhood inflammatory disease, which is a common cause of disability among the younger population. S100A12 protein level is found to be associated with the patients of JIA; though, the findings on this are inconsistent. Therefore, we conducted a systematic review and meta-analysis to assess the association of S100A12 protein levels with juvenile idiopathic arthritis.

Co-Occurrences of Forms of Child Undernutrition in India: Insights from the National Family Health Survey.

: The composite index of anthropometric failure (CIAF) studies co-occurrences of three forms of child undernutrition: stunting (S), wasting (W), and underweight (U). This study attempts to modify it through the inclusion of a fourth form of undernutrition, that is, anaemia (A), serving as a proxy for micronutrient deficiencies among under-five children in India. : Spatial and multivariate analyses were employed to analyse the co-occurrences of child undernutrition with reference to the child's and mother's characteristics using National Family Health Survey (NFHS) data.

Pesticide pollution in India: Environmental and health risks, and policy challenges.

Intensive agriculture practices in India to meet the food demand of the increasing population have led to the use of agrochemicals such as pesticides in higher quantities to increase productivity resulting in contamination of the environment. Pesticides control pests, weeds, and diseases in plants, animals, and humans. Despite bans on pesticides such as organochlorides (OC), organophosphate (OP), or synthetic pyrethroids ranging from minimal to excessive, are detected in soil, surface water, and groundwater often exceeding WHO and BIS safety limits.

Do Indian women know about and use the emergency contraceptive pill? An analysis of nationally representative data from 2005-06 and 2019-21.

The emergency contraceptive pill (ECP) is a post-coital contraceptive method that prevents unintended pregnancy and is useful in specific circumstances. This study examined the awareness and use of the ECP in India, as there is scarce evidence in this area to guide policy development. This study used data from the 2005-06 (n = 124 385) and 2019-21 (n = 724 115) rounds of the National Family Health Survey of India.

Antiprotozoal peptide prediction using machine learning with effective feature selection techniques.

Background: Protozoal pathogens pose a considerable threat, leading to notable mortality rates and the ongoing challenge of developing resistance to drugs. This situation underscores the urgent need for alternative therapeutic approaches. Antimicrobial peptides stand out as promising candidates for drug development.

Comparative Evaluation of Microbial Contamination on the Mobile Phones Used by Dental Health-care Professionals versus Faculty of School System.

Introduction: Mobile phones are frequently used in environments of high bacteria presence. These can harbor various potential pathogens and become an exogenous source of nosocomial infections. Even in recent outbreak of COVID-19, it has become a point which needs to be sanitized to prevent and control further disease transmission as it is equally important for health-care professionals to use mobile phones in the hospital and other health and care settings, especially for communication.

Traction Folliculitis: An Unrecognized Entity.

Traction folliculitis (TF) is an uncommon and under-reported entity that presents as perifollicular erythema and pustules in patients in whom excessive traction is used while styling the hair. In this article, we report 2 patients who presented with TF subsequent to excessive traction while tying the hair. In both these patients, the condition improved with change of hairstyle.

QUFIND: tool for comparative prediction and mining of G4 quadruplexes overlapping with CpG islands.

G-quadruplexes (G4s) are secondary structures in DNA that have been shown to be involved in gene regulation. They play a vital role in the cellular processes and several pathogens including bacteria, fungi, and viruses have also been shown to possess G4s that help them in their pathogenesis. Additionally, cross-talk among the CpG islands and G4s has been shown to influence biological processes.

iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers.

Background: Inflammatory mediators play havoc in several diseases including the novel Coronavirus disease 2019 (COVID-19) and generally correlate with the severity of the disease. Interleukin-13 (IL-13), is a pleiotropic cytokine that is known to be associated with airway inflammation in asthma and reactive airway diseases, in neoplastic and autoimmune diseases. Interestingly, the recent association of IL-13 with COVID-19 severity has sparked interest in this cytokine.

analysis of SARS-CoV-2 genomes: Insights from SARS encoded non-coding RNAs.

The recent pandemic caused by Severe Acute Respiratory Syndrome Coronavirus-2 has resulted in enormous deaths around the world. Clues from genomic sequences of parent and their mutants can be obtained to understand the evolving pathogenesis of this virus. Apart from the viral proteins, virus-encoded microRNAs (miRNAs) have been shown to play a vital role in regulating viral pathogenesis.

Proteochemometric Method for pIC50 Prediction of Flaviviridae.

Viruses remain an area of concern despite constant development of antiviral drugs and therapies. One of the contributors is the Flaviviridae family of viruses causing diseases that need attention. Among other anitviral methods, antiviral peptides are being studied as viable candidates.