Digital Transformation in Toxicology: Improving Communication and Efficiency in Risk Assessment.

Toxicology is undergoing a digital revolution, with mobile apps, sensors, artificial intelligence (AI), and machine learning enabling better record-keeping, data analysis, and risk assessment. Additionally, computational toxicology and digital risk assessment have led to more accurate predictions of chemical hazards, reducing the burden of laboratory studies. Blockchain technology is emerging as a promising approach to increase transparency, particularly in the management and processing of genomic data related with food safety.

Application of Machine Learning in Rheumatoid Arthritis Diseases Research: Review and Future Directions.

Rheumatoid arthritis (RA) is a chronic, destructive condition that affects and destroys the joints of the hand, fingers, and legs. Patients may forfeit the ability to conduct a normal lifestyle if neglected. The requirement for implementing data science to improve medical care and disease monitoring is emerging rapidly as a consequence of advancements in computational technologies.

Adding a new dimension: Multi-level structure and organization of mixed-species and biofilms in a 4-D wound microenvironment.

Biofilms in wounds typically consist of aggregates of bacteria, most often and , in close association with each other and the host microenvironment. Given this, the interplay across host and microbial elements, including the biochemical and nutrient profile of the microenvironment, likely influences the structure and organization of wound biofilms. While clinical studies, and model systems have provided insights into the distribution of and in wounds, they are limited in their ability to provide a detailed characterization of biofilm structure and organization across the host-microbial interface.

Meta-analysis of HNF1A-MODY3 variants among human population.

Background: Previously, numerous case-control studies have highlighted variants responsible for Maturity onset diabetes of young (MODY). However, these studies have been conducted among diverse populations and hence yielded contradictory results. We, therefore, performed a meta-analysis to precisely find the association of SNPs with the disease for the HNF1A gene.

AMPing Up the Search: A Structural and Functional Repository of Antimicrobial Peptides for Biofilm Studies, and a Case Study of Its Application to , an Emerging Pathogen.

Antimicrobial peptides (AMPs) have been recognized for their ability to target processes important for biofilm formation. Given the vast array of AMPs, identifying potential anti-biofilm candidates remains a significant challenge, and prompts the need for preliminary investigations prior to extensive and studies. We have developed Biofilm-AMP (B-AMP), a curated 3D structural and functional repository of AMPs relevant to biofilm studies.

Scale Up Studies for Polyhydroxyalkanoate Production by a Strain with Industrial Potential.

Polyhydroxyalkanoates (PHA) are synthesized by bacteria under unfavourable growth conditions like excess of carbon over nitrogen, coupled with oxygen limitation. The PHA polymers of microbial origin are diverse in chemical composition and material properties. A bioprocess for PHA production by indigenously isolated MTCC 12841 was devised and optimized at a laboratory fermentor scale.

IGF-1 and somatocrinin trigger islet differentiation in human amniotic membrane derived mesenchymal stem cells.

Aim: To induce differentiation of human amniotic membrane derived mesenchymal stem cells (hAMMSCs) into insulin producing cells (IPCs) by treating with somatocrinin or growth hormone releasing hormone (GHRH) and Insulin-like growth factor-1 (IGF-1).

Main Method: In this investigation, we cultivated and characterized hAMMSCs and then treated with IGF-1 and somatocrinin to find out whether this combination gives better yield of insulin producing cells. We showed that hAMMSCs can give rise to IPCs on exposure to serum-free defined media containing specific growth factors and differentiating agents in presence of IGF-1 and somatocrinin.

Assessment of Anti-Influenza Activity and Hemagglutination Inhibition of Plumbago indica and Allium sativum Extracts.

Background: Human influenza is a seasonal disease associated with significant morbidity and mortality. Anti-flu ayurvedic/herbal medicines have played a significant role in fighting the virus pandemic. Plumbagin and allicin are commonly used ingredients in many therapeutic remedies, either alone or in conjunction with other natural substances.

Recent applications of ring-rearrangement metathesis in organic synthesis.

Ring-rearrangement metathesis (RRM) involves multiple metathesis processes such as ring-opening metathesis (ROM)/ring-closing metathesis (RCM) in a one-pot operation to generate complex targets. RRM delivers complex frameworks that are difficult to assemble by conventional methods. The noteworthy point about this type of protocol is multi-bond formation and it is an atom economic process.

Probiotics, prebiotics and synbiotics- a review.

The health benefits imparted by probiotics and prebiotics as well as synbiotics have been the subject of extensive research in the past few decades. These food supplements termed as functional foods have been demonstrated to alter, modify and reinstate the pre-existing intestinal flora. They also facilitate smooth functions of the intestinal environment.