Targeted Radionuclide Therapy Activates Prodrugs for Treating Metastasis.

Over 90% of cancer patients succumb to metastasis, yet conventional frontline therapy struggles to halt the progression of metastatic tumors. Targeted radionuclide therapy, which delivers radiation precisely to tumor sites, shows promise for treating metastasis. The rational design of a prodrug activation platform using radionuclides would be an ideal approach to synergize chemotherapy with targeted radionuclide therapy, yet it has not been established.

DOME Registry: implementing community-wide recommendations for reporting supervised machine learning in biology.

Supervised machine learning (ML) is used extensively in biology and deserves closer scrutiny. The Data Optimization Model Evaluation (DOME) recommendations aim to enhance the validation and reproducibility of ML research by establishing standards for key aspects such as data handling and processing, optimization, evaluation, and model interpretability. The recommendations help to ensure that key details are reported transparently by providing a structured set of questions.

Computational dissection through network pharmacology and structure-based analysis unravels mechanistic actions of bioactive compounds in a hepatoprotective herb, for the treatment of NAFLD and NASH.

Non-Alcoholic fatty liver disease has become a silent pandemic worldwide with no authorized medicine available. is a traditional hepatoprotective herb wherein extracts provide therapeutic efficacy but not the individual compounds. Hence, the aim of the study is exploration of active molecules in extracts and identification of mechanistic actions to pinpoint potential leads towards drug development.

strain COH1 transcriptome in association with stem cell-derived brain-like endothelial cells.

(Group ) strain COH1 is a representative strain of serotype III, multi-locus sequence type 17, which is disproportionately associated with neonatal meningitis. Here we report the transcriptome of COH1 when interacting with human brain endothelial cells compared with COH1 alone.

Pred-AHCP: Robust Feature Selection-Enabled Sequence-Specific Prediction of Anti-Hepatitis C Peptides via Machine Learning.

Every year, an estimated 1.5 million people worldwide contract Hepatitis C, a significant contributor to liver problems. Although many studies have explored machine learning's potential to predict antiviral peptides, very few have addressed the problem of predicting peptides against specific viruses such as Hepatitis C.

Structural connectivity of thalamic subnuclei in major depressive disorder: An ultra-high resolution diffusion MRI study at 7-Tesla.

Background: The thalamus serves as a central relay station within the brain, and thalamic connectional anomalies are increasingly thought to be present in major depressive disorder (MDD). However, the use of conventional MRI scanners and acquisition techniques has prevented a thorough examination of the thalamus and its subnuclear connectional profile. We combined ultra-high field diffusion MRI acquired at 7.

A roadmap for a middleware as a federation service for integrative data retrieval of agricultural data.

Agriculture is confronted with several challenges such as climate change, the loss of biodiversity and stagnating productivity. The massive increasing amount of data and new digital technologies promise to overcome them, but they necessitate careful data integration and data management to make them usable. The FAIRagro consortium is part of the National Research Data Infrastructure (NFDI) in Germany and will develop FAIR compliant infrastructure services for the agrosystems science community, which will be integrated in the existing research data infrastructure service landscape.

Bioremediation by Brevibacterium sediminis: a prospective pyrene degrading agent to eliminate environmental polycyclic aromatic hydrocarbons.

Environmental abuses and subsequent array of health hazards by petroleum products have emerged as a global concern that warrants proper remediation. Pyrene (PYR), a polycyclic aromatic hydrocarbon, is a xenobiotic by-product during crude petroleum processing. Biodegradation potential of two bacterial isolates (MK4 and MK9) of Brevibacterium sediminis from oil contaminated sites was explored.

Neutrophil Activation Markers and Rheumatoid Arthritis Treatment Response to the JAK1/2 Inhibitor Baricitinib.

Objective: Neutrophils play an important role in regulating immune and inflammatory responses in patients with rheumatoid arthritis (RA). We assessed whether baricitinib, a JAK1/JAK2 inhibitor, could reduce neutrophil activation and whether a neutrophil activation score could predict treatment response.

Methods: Markers of neutrophil activation, calprotectin, and neutrophil extracellular traps (NETs) were analyzed using enzyme-linked immunosorbent assay in plasma from patients with RA (n = 271) and healthy controls (n = 39).

Anti-Inflammatory Potential of Costus speciosus rhizome Bioactive Phytochemicals: A Combined GC-MS and Computational Approach Targeting TLR-4 Signaling.

Background: Plants represent a rich reservoir of bioactive compounds with established therapeutic value in diverse diseases. Notably, the Toll-like receptor-4 (TLR-4) signaling pathway plays a pivotal role in inflammation. Upon engagement with pro-inflammatory ligands like lipopolysaccharide, TLR-4 triggers downstream cascades involving nuclear factor ĸappa B and mitogen- activated protein kinases.

Probing the role of ligation and exonuclease digestion towards non-specific amplification in bioanalytical RCA assays.

Non-specific amplification (NSA, amplification in the absence of a target analyte) in bioanalytical rolling circle amplification (RCA) assays, especially those involving pre-synthesized circular DNA (cDNA), affects its analytical sensitivity. Despite extensive development of RCA-based bioanalytical methods, the NSA in RCA remains uncharacterized in terms of its magnitude or origin. NSA may originate from inefficient ligation or succeeding cDNA purification steps.

Identifying effective evolutionary strategies-based protocol for uncovering reaction kinetic parameters under the effect of measurement noises.

Background: The transition from explanative modeling of fitted data to the predictive modeling of unseen data for systems biology endeavors necessitates the effective recovery of reaction parameters. Yet, the relative efficacy of optimization algorithms in doing so remains under-studied, as to the specific reaction kinetics and the effect of measurement noises. To this end, we simulate the reactions of an artificial pathway using 4 kinetic formulations: generalized mass action (GMA), Michaelis-Menten, linear-logarithmic, and convenience kinetics.

Migrasomes: Biogenesis, physiological roles, and therapeutic potentials.

Migrasomes, vesicular structures discovered in migrating cells, arise from the junctions or tips of retraction fibers, and gradually grow to microscale vesicles. Migrasomes have garnered attention for their role in intercellular communication and potential therapeutic implications. This review presents an overview of recent advances in migrasome biology, covering the mechanisms of migrasome biogenesis, essential physiological roles, and their association with various diseases, alongside potential therapeutic applications.

Wastewater-based surveillance of Vibrio cholerae: Molecular insights on biofilm regulatory diguanylate cyclases, virulence factors and antibiotic resistance patterns.

Vibrio cholerae is an inherent inhabitant of aquatic ecosystems. The Indian state of West Bengal, especially the Gangetic delta region is the highest cholera affected region and is considered as the hub of Asiatic cholera. V.

Circadian regulation of translation.

Most, if not all organisms exhibit robust rhythmicity of their biological functions, allowing a perpetual adaptation to external clues within the daily 24 hours-cycle. Studies on circadian rhythm regulation primarily focused on transcriptional level, considering mRNA levels to represent the primary determinant of oscillations of intracellular protein levels. However, a plethora of emerging evidence suggests that post-transcriptional regulation, particularly rhythmic mRNA translation, is not solely reliant on the oscillation of transcription.

Pathway Gene Paralogues and Transcription Factors Differentially Associate with Contents of Picrosides in Tissues and Populations of a Medicinal Herb, Picrorhiza kurroa.

Picrorhiza kurroa is a valuable medicinal herb of Himalayan region, containing two major pharmacological iridoid glycosides: Picroside-I and Picroside-II, in addition to several other secondary metabolites. The metabolic diversity of P. kurroa may stem from the evolutionary processes attributed to pathway genes family expansion via gene duplication or splicing giving rise to paralogues which are further controlled by regulatory components.

Targeting heterozygous dominant negative variant of using Gapmer ASO for the treatment of drug-resistant epilepsy.

A missense mutation c.1220C>G of gene was recently identified in an infant with epilepsy. encodes K1.

Slow Release of Hydrogen Sulfide in CA1 Hippocampal Neurons Rescues Long-Term Synaptic Plasticity and Associativity in an Amyloid-β Induced Model of Alzheimer's Disease.

Background: Impairment of synaptic plasticity along with the formation of amyloid-β (Aβ) plaques and tau-protein neurofibrillary tangles have been associated with Alzheimer's disease (AD). Earlier studies with rat and mouse hippocampal slices have revealed the association of AD with the absence of synthesis of memory related proteins leading to impairment in cognitive functions. The role of hydrogen sulfide (H2S), a gaseous neurotransmitter, has been gaining attention as a neuroprotective agent.

Privacy Risk Assessment for Synthetic Longitudinal Health Data.

Introduction: A modern approach to ensuring privacy when sharing datasets is the use of synthetic data generation methods, which often claim to outperform classic anonymization techniques in the trade-off between data utility and privacy. Recently, it was demonstrated that various deep learning-based approaches are able to generate useful synthesized datasets, often based on domain-specific analyses. However, evaluating the privacy implications of releasing synthetic data remains a challenging problem, especially when the goal is to conform with data protection guidelines.