Role of lamins in cellular physiology and cancer.

Lamins, which are crucial type V intermediate filament proteins found in the nuclear lamina, are essential for maintaining the stability and function of the nucleus in higher vertebrates. They are classified into A- and B-types, and their distinct expression patterns contribute to cellular survival, development, and functionality. Lamins emerged during the transition from open to closed mitosis, with their complexity increasing alongside organism evolution.

Identifying Potential Autophagy Modulators in Panch Phoron Spices (P5S): An In Silico approach.

Despite recent breakthroughs in diagnosis and treatment, cancer remains a worldwide health challenge with high mortality. Autophagy plays a major role in the progression and development. Starving cancer cells obtain nutrients through the upregulation of autophagy.

Efficacy of Scapular Functional and Cervical Isometric Exercises in the Management of Chronic Mechanical Neck Pain: A Randomized Comparative Trial.

The global rise in work-related musculoskeletal ailments has led to issues like neck discomfort, scapular muscle dysfunction, reduced neck mobility, and functional limitations. This study aimed to evaluate the effectiveness of scapular functional exercises (SFE) and cervical isometric exercises (CIE) on pain, cervical range of motion (CROM), and functional limitations in individuals with chronic mechanical neck pain (CMNP). A two-arm, parallel group pretest-post-test randomized comparative trial was conducted.

Synthetic T-Cell Receptor-like Protein Behaves as a Janus Particle in Solution.

Protein engineering enables the creation of tailor-made proteins for a variety of applications. ImmTACs stand out as promising therapeutics for cancer and other treatments while also presenting unique challenges for stability, formulation, and delivery. We have shown that ImmTACs behave as Janus particles in solution, leading to self-association at low concentrations, even when the average protein-protein interactions suggest that the molecule should be stable.

Validation of an Oral Health Tool for Clinicians to Screen Patients With Cardiovascular Disease.

Aims: To develop and validate a screening tool to identify patients with cardiovascular disease at risk of poor oral health and requiring referrals.

Design: This study was part of a larger pilot study involving a cross-sectional survey and an oral health assessment conducted with patients with cardiovascular disease.

Methods: A four-item screening tool was developed by an expert panel and validated through a cross-sectional survey of patients with cardiovascular disease.

Identifying the factors influencing the development of bilateral investment treaties with health safeguards: a Machine Learning-based link prediction approach.

A network analysis approach, complemented by machine learning (ML) techniques, is applied to analyse the factors influencing Bilateral Investment Treaties (BITs) at the country level. Using the Electronic Database of Investment Treaties, BITs with health safeguards from 167 countries were charted, resulting in 534 connections with countries as nodes and their BITs as edges. Network analysis found that, on average, a country established BITs with six other nations.

Scaling up multispectral color filters with binary lithography and reflow (BLR).

Efforts to increase the number of filters are driven by the demand for miniaturized spectrometers and multispectral imaging. However, processes that rely on sequential fabrication of each filter are cost ineffective. Herein, we introduce an approach to produce at least 16 distinct filters based on a single low-resolution lithographic step with minimum feature size of 0.

Isolation, morpho-physiological and molecular characterization, phylogenetic analysis of Trichoderma asperellum in Bangladesh.

The experiment was conducted at the Department of Plant Pathology, Bangladesh Agricultural University, Mymensingh to identify T. asperellum in a countrywide screening program and to evaluate its antagonistic effect against several soil borne pathogens. Samples were collected from the rhizosphere soil of 49 different crops in 107 different locations in Bangladesh, especially, considering the several isolates of T.

Biocultural Conservation of Indigenous Foods and Their Potential as Alternative Food Sources in Chittagong Hill Tracts (CHTs), Bangladesh.

This study documented the lesser-known indigenous fruits and vegetables used in a montane area of high biocultural diversity in Bangladesh, the Chittagong Hill Tracts (CHTs), and analyzed the nutritional values of selected species. Over 125 species were noted, and based on their frequent uses, 10 plant species were selected for nutritional analysis. All of the analyzed fruits and vegetables contain significant amounts of nutrients.

Association between maternal exposure to polycyclic aromatic hydrocarbons and birth anthropometric outcomes: A systematic review and meta-analysis.

Background: Previous research has proposed that exposure to polycyclic aromatic hydrocarbons (PAHs) during pregnancy could potentially lead to a higher risk of adverse birth anthropometric outcomes. However, the current evidence on this connection remains inconclusive, as various studies have presented conflicting results.

Objective: This systematic review and meta-analysis seeks to synthesize the available research on the potential link between maternal PAHs exposure and birth anthropometric outcomes.

Growth performance and enzymatic activities in monosex tilapia (Oreochromis niloticus) supplemented with Najas indica along with the compound identification of the extracts.

Recent research has looked at various macroalgae species as dietary components or feed additives for a variety of fish species due to their nutritional value. The objective of this study was to examine the impact of Najas indica, a macroalgae extract, on the growth performance, proximate composition, and metabolic activities of monosex tilapia (Oreochromis niloticus), while also isolating the compounds present. Three distinct solvents (n-hexane, ethyl acetate, and ethanol) were used to extract bioactive compounds from a coarse powder of macroalgae after drying and grinding, and gas chromatography-mass spectrometry (GC-MS) analysis was used to detect bioactive compounds.

Antidiabetic potential of fenugreek (): A magic herb for diabetes mellitus.

Fenugreek () is a widely grown dietary herb in Asia, and its seeds are traditionally used for several diseases, including diabetes. The seeds and leaves possess a variety of compounds that play an important role in regulating their hypoglycemic effect. However, so far, no extensive systematic review exists on its antidiabetic effect, highlighting the molecular mechanisms and isolated compounds.

Species diversity and functional trait-based approaches in ecological assessment utilizing free-living marine nematodes in Jiaozhou Bay, China.

The present study evaluated the potential application of free-living marine nematode assemblages as indicators in assessing environmental condition of Jiaozhou Bay (JB), China. Shannon-Wiener diversity (H'), functional trait indices (Index of Trophic Diversity, ITD and Maturity Index, MI) were utilized to rank the benthic habitat quality of the sampled stations. Most of the nematode genera/species belonged to c-p (colonizer-persister) class 2, indicating dominance of opportunistic nematodes and suggesting organic enrichment in the bay.

Graph neural network-based subgraph analysis for predicting adverse drug events.

Purpose: Adverse drug events (ADEs) are a significant global public health concern, and they have resulted in high rates of hospital admissions, morbidity, and mortality. Prior to the use of machine learning and deep learning methods, ADEs may not become well recognized until long after a drug has been approved and is widely used, which poses a significant challenge for ensuring patient safety. Consequently, there is a need to develop computational approaches for earlier identification of ADEs not detected during pre-registration clinical trials.

Equity-Focused Evaluation of a Medicaid-Funded Statewide Diabetes Quality Improvement Project Collaborative.

Objective: To evaluate the Ohio Diabetes Quality Improvement Project (QIP) equity aim to reduce the percentage of Non-Hispanic Black (NHB) and Hispanic patients with A1C >9% by ≥20% over 2 years.

Research Design And Methods: The Ohio Department of Medicaid, Ohio Colleges of Medicine Government Resource Center, Ohio Medicaid managed care plans, and seven medical schools in Ohio formed the Diabetes QIP collaborative using the collective impact model to improve diabetes outcomes and equity in 20 practices across 11 health systems. The quality improvement (QI) strategies included data audit and feedback, peer-to-peer learning, QI coaching/practice facilitation, and subject matter expert consultation through coaching calls, monthly webinars, and annual virtual learning sessions.

What over the counter (OTC) products have been evaluated for anxiety in adults aged 18-60? A scoping review.

Background: Anxiety symptoms and disorders are common in the UK. Whilst waiting for, or alongside, treatments such as anxiolytics or psychological therapies, people often self-manage anxiety symptoms with products purchased over-the-counter (OTC), such as herbal medicines or dietary supplements. However, the evidence for these products is often presented across different reviews and is not easy for patients or healthcare professionals to compare and understand.

Association of HOTAIR rs7958904 Polymorphism with Cervical Cancer Risk.

Cervical cancer (CC) has been the prominent cause of cancer-associated fatalities among women in developing countries. In terms of occurrence and mortality, it is ranked second in Bangladesh. Although different genetic polymorphisms linked with this cancer have been investigated over time, the association between the HOTAIR rs7958904 variant and cervical cancer is being reported for the first time in Bangladeshi women.

Photonic probabilistic machine learning using quantum vacuum noise.

Probabilistic machine learning utilizes controllable sources of randomness to encode uncertainty and enable statistical modeling. Harnessing the pure randomness of quantum vacuum noise, which stems from fluctuating electromagnetic fields, has shown promise for high speed and energy-efficient stochastic photonic elements. Nevertheless, photonic computing hardware which can control these stochastic elements to program probabilistic machine learning algorithms has been limited.

Imatinib‑ and ponatinib‑mediated cardiotoxicity in zebrafish embryos and H9c2 cardiomyoblasts.

Tyrosine kinase inhibitors (TKIs) offer targeted therapy for cancers but can cause severe cardiotoxicities. Determining their dose‑dependent impact on cardiac function is required to optimize therapy and minimize adverse effects. The dose‑dependent cardiotoxic effects of two TKIs, imatinib and ponatinib, were assessed using H9c2 cardiomyoblasts and using zebrafish embryos.