COVID-19, SARS-CoV-2, HCWs, Prevention

Type 2 diabetes, Glycosylated haemoglobin, Dyslipidaemia.

Android; Wisdom; Medical Software; APP.

COVID-19; Mental health; Lockdown; Companionship; Diet habits; Workout routine; Depression; Anxiety; Stress; Insomnia; Suicidal ideations.

COVID-19, doctors, mortality, N95 masks, adverse effects

PSVT, Propranolol, Diltiazem, oral Propranolol

Cancer, CHE, CTMFFP, HMCPF, AIDS, North India

mtDNA, mitochondrial, stroke-like episode, MYORG, encephalopathy

GDF-15, mccf-mtDNA, biomarker, mtDNA, mitochondrial disorder, MELAs, MERRF

Leigh syndrome, French Canadian type, LRPPRC, symmetric basal ganglia lesions, hypotonia, developmental delay

Introduction: Neonatal sepsis is a challenging diagnosis due to the nonspecific signs, and the lack of diagnostic tool. This leads to an empiric management with antibiotics that can be harmful. Objective: The aim of the study is to identify the correlation between maternal age and mortality rate from neonatal sepsis and to study maternal age, as a potential risk factor. Material and Methods: A mono-centric, retrospective study, from 2005 through 2018 has included 475 infants admitted to NICU and treated for neonatal sepsis. Data collection concerned maternal age, infant hemodynamics, laboratory findings and cultures. Results: The median maternal age found is 26, mode is 27 and the mean is 27.22 ± 6.492. E. Coli is the most common germ; confirmed sepsis with culture is equally distributed between blood and urine. Mortality rate is 2.9%. CRP was the most prevalent marker. Most of treated neonates had none of the inflammatory markers positive on NICU admission. Conclusion: No correlation between maternal age and mortality rate. A single diagnostic test is still needed, to diagnose and treat early, and to emphasize antibiotic stewardship.

Enzymes play a fundamental role in catalyzing biochemical reactions within living organisms, and understanding the factors influencing their activity is of paramount importance in various fields, including biochemistry, biophysics, and medicine. Among these factors, the rate of diffusion-controlled reactions of enzymes represents a critical determinant of enzymatic efficiency and substrate specificity. This abstract provides a comprehensive review of the significant and profound impacts of studies focused on elucidating the rate of diffusion-controlled reactions of enzymes. These studies have yielded valuable insights into the mechanisms governing enzyme-substrate interactions, enzyme kinetics, and the regulation of metabolic pathways. By employing a combination of experimental techniques, including kinetics measurements, molecular dynamics simulations, and structural biology approaches, researchers have elucidated the factors influencing the diffusion-limited rate constants of enzymes, such as enzyme size, shape, flexibility, and active site architecture. Moreover, advances in theoretical modeling have provided quantitative frameworks for predicting and rationalizing the observed rate enhancements and substrate selectivity of enzymes. The knowledge gained from studies on diffusion-controlled reactions of enzymes has profound implications across diverse fields. In biotechnology and industrial processes, insights into enzyme kinetics have facilitated the design of more efficient biocatalysts for the production of pharmaceuticals, biofuels, and other valuable compounds. In medicine, understanding the kinetics of enzyme-substrate interactions has informed drug discovery efforts and therapeutic interventions targeting enzyme dysfunction in various diseases, including metabolic disorders and cancer. In conclusion, studies on the rate of diffusion-controlled reactions of enzymes have made significant contributions to our understanding of enzymology and have far-reaching implications in biotechnology, medicine, and beyond. Continued research in this field holds promise for unlocking new insights into enzyme function and expanding the applications of enzymatic catalysis in diverse scientific and industrial contexts.

CellSonic, Biomedical technology, Ultrasound therapy, Medical discoveries, Innovative research

Tight turns, Protein structure prediction, Machine learning algorithms, β-turn classification, Structural motifs

COVID-19 crisis, Turning point, Pandemic, Global impact, Transformation

Isolated polycystic liver disease - Hepatic cysts.

Enzyme kinetics, Diffusion-controlled reactions, Enzyme-substrate interactions, Catalytic efficiency, Biocatalysis

Neonatal Sepsis, Mono-centric,NICU NICU, antibiotic stewardship.