Potential Markers for Thyroid Neoplasms in the Upstream Analysis of the Plasma Proteome.

The reliability of existing diagnostic methods for thyroid neoplasms remains questionable, which necessitates the search for alternative approaches. The use of nontarget proteomic analysis for diagnosing oncological diseases is gaining traction and represents an efficient method for multiplex analysis. This study analyzed 372 blood plasma samples collected from patients with histologically confirmed thyroid pathologies treated at the National Medical Research Center for Endocrinology in 2019-2021.

Metabolic modeling reveals determinants of synbiotic efficacy in a human intervention trial.

Synbiotic interventions show variable effects across individuals, likely driven by ecological interactions with the endogenous microbiota and the host diet. Rationally predicting individual-specific success or failure of probiotic and prebiotic interventions remains an outstanding challenge. In this study, we leverage microbial community-scale metabolic models (MCMMs) to predict probiotic engraftment and shifts in microbiota-mediated short-chain fatty acid (SCFA) production in response to a synbiotic intervention.

LM-Merger: a workflow for merging logical models with an application to gene regulatory network models.

Background: Gene regulatory network (GRN) models provide mechanistic understanding of genetic interactions that regulate gene expression and, consequently, influence cellular behavior. Dysregulated gene expression plays a critical role in disease progression and treatment response, making GRN models a promising tool for precision medicine. While researchers have built many models to describe specific subsets of gene interactions, more comprehensive models that cover a broader range of genes are challenging to build.

Alterations of the composition and spatial organization of the microenvironment following non-dysplastic Barrett's esophagus through progression to cancer.

Barrett's esophagus (BE), a metaplastic condition that is the only known precursor for esophageal adenocarcinoma (EAC), is relatively common, but progression to cancer is infrequent. BE is inflamed but the contribution of the immune system to the carcinogenic process is unknown. To this end, we contrasted of BE patients, captured when they did not progress (non-progressors), did subsequently, but had not yet progressed (pre-progressors) or had already progressed to EAC (progressors).

Multiomic clocks to predict phenotypic age in mice.

Biological age refers to a person's overall health in aging, as distinct from their chronological age. Diverse measures of biological age, referred to as "clocks", have been developed in recent years and enable risk assessments, and an estimation of the efficacy of longevity interventions in animals and humans. While most clocks are trained to predict chronological age, clocks have been developed to predict more complex composite biological age outcomes, at least in humans.

Allocating limited surveillance effort for outbreak detection of endemic foot and mouth disease.

Foot and Mouth Disease (FMD) affects cloven-hoofed animals globally and has become a major economic burden for many countries around the world. Countries that have had recent FMD outbreaks are prohibited from exporting most meat products; this has major economic consequences for farmers in those countries, particularly farmers that experience outbreaks or are near outbreaks. Reducing the number of FMD outbreaks in countries where the disease is endemic is an important challenge that could drastically improve the livelihoods of millions of people.

A 3D culture model facilitates mass production of in vitro Plasmodium falciparum haemolymph-like sporozoites.

Background: The in vitro cultivation of individual stages of the Plasmodium falciparum mosquito life cycle is notably challenging. The main difficulty is replicating the intricate nutrient and metabolite exchanges necessary for oocyst development and sporozoite (SPZ) formation in the three-dimensional environment of the mosquito midgut. Replicating these conditions is essential for understanding the biological interactions between mosquito and parasite, as well as advancing malaria vaccine development.

MGV-seq: a sensitive and culture-independent method for detecting microbial genetic variation.

Background: Precise detection of microbial genetic variation (MGV) at the strain level is essential for reliable disease diagnosis, pathogen surveillance, and reproducible research. Current methods, however, are constrained by limited sensitivity, specificity, and dependence on culturing. To address these challenges, we developed MGV-Seq, an innovative culture-independent approach that integrates multiplex PCR, high-throughput sequencing, and bioinformatics to analyze multiple dispersed nucleotide polymorphism (MNP) markers, enabling high-resolution strain differentiation.

Announcing the Biomedical Data Translator: Initial Public Release.

The growing availability of biomedical data offers vast potential to improve human health, but the complexity and lack of integration of these datasets often limit their utility. To address this, the Biomedical Data Translator Consortium has developed an open-source knowledge graph-based system-Translator-designed to integrate, harmonize, and make inferences over diverse biomedical data sources. We announce here Translator's initial public release and provide an overview of its architecture, standards, user interface, and core features.

Genomic determinants of therapy response in ETV6::RUNX1 leukemia.

ETV6::RUNX1 leukemia is the second most common subtype of childhood B cell acute lymphoblastic leukemia (B-ALL). Although it generally has a low relapse risk, a significant proportion of B-ALL relapses occur within this subtype due to its relatively high incidence. Measurable residual disease at the end of induction therapy is a well-established biomarker predicting treatment outcomes, while no genomic biomarkers are routinely applied in clinics.

Pan-cancer immune and stromal deconvolution predicts clinical outcomes and mutation profiles.

Traditional gene expression deconvolution methods assess a limited number of cell types, therefore do not capture the full complexity of the tumor microenvironment (TME). Here, we integrate nine deconvolution tools to assess 79 TME cell types in 10,592 tumors across 33 different cancer types, creating the most comprehensive analysis of the TME. In total, we found 41 patterns of immune infiltration and stroma profiles, identifying heterogeneous yet unique TME portraits for each cancer and several new findings.

Understanding disease-associated metabolic changes in human colonic epithelial cells using the iColonEpithelium metabolic reconstruction.

The colonic epithelium plays a key role in the host-microbiome interactions, allowing uptake of various nutrients and driving important metabolic processes. To unravel detailed metabolic activities in the human colonic epithelium, our present study focuses on the generation of the first cell-type-specific genome-scale metabolic model (GEM) of human colonic epithelial cells, named iColonEpithelium. GEMs are powerful tools for exploring reactions and metabolites at the systems level and predicting the flux distributions at steady state.

Geno4ME Study: implementation of whole genome sequencing for population screening in a large healthcare system.

The Genomic Medicine for Everyone (Geno4ME) study was established across the seven-state Providence Health system to enable genomics research and genome-guided care across patients' lifetimes. We included multi-lingual outreach to underrepresented groups, a novel electronic informed consent and education platform, and whole genome sequencing with clinical return of results and electronic health record integration for 78 hereditary disease genes and four pharmacogenes. Whole genome sequences were banked for research and variant reanalysis.

Introducing a framework for within-host dynamics and mutations modelling of H5N1 influenza infection in humans.

Avian influenza A(H5N1) poses a public health risk due to its pandemic potential should the virus mutate to become human-to-human transmissible. To date, reported influenza A(H5N1) human cases have typically occurred in the lower respiratory tract with a high case fatality rate. There is prior evidence of some influenza A(H5N1) strains being a small number of amino acid mutations away from achieving droplet transmissibility, possibly allowing them to be spread between humans.

PloverDB: a high-performance platform for serving biomedical knowledge graphs as standards-compliant web APIs.

Summary: Knowledge graphs are increasingly being used to integrate heterogeneous biomedical knowledge and data. General-purpose graph database management systems such as Neo4j are often used to host and search knowledge graphs, but such tools come with overhead and leave biomedical-specific standards compliance and reasoning to the user. Interoperability across biomedical knowledge bases and reasoning systems necessitates the use of standards such as those adopted by the Biomedical Data Translator consortium.

Maintenance and evolution of phenotypic variance in a prey defence trait examined with a dynamic predator-prey model for clonal populations.

Predator-prey systems often feature periodic population cycles. In an empirical system with a heritable prey defence trait, ecological oscillations were previously shown to cause evolution of prey defence on the timescale of the population cycles. In this paper, we develop a phenotypically structured model comprising partial differential equations to investigate the evolutionary dynamics of prey defence during population cycles for a clonally reproducing prey species.

Emergence and transmission dynamics of the FY.4 Omicron variant in Kenya.

The recombinant FY.4 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant was first reported in Kenya in March 2023 and was the dominant circulating variant between April and July 2023. The variant was characterized by two important mutations: Y451H in the receptor-binding domain of the spike protein and P42L in open reading frame 3a.

Energy Pathway of Lipid Monolayer Fusion: From Droplet Contact to Coalescence.

Neutral fats in living organisms are stored in lipid droplets, intracellular organelles enveloped by a phospholipid monolayer. The fusion of these lipid droplets is vital for numerous physiological functions and is regulated by specific proteins and lipids. Dysregulation of this process, leading to excessive droplet growth, is associated with various pathological conditions.

Genome-Guided Metabolomic Profiling of Peptaibol-Producing .

Peptaibols are linear fungal peptides featuring α,α-dialkylated amino acids (e.g., α-aminoisobutyric acid (Aib), isovaline (Iva)) and characteristic C-terminal alcohol groups.

Unifying human infectious disease models and real-time awareness of population- and subpopulation-level intervention effectiveness.

During infectious disease outbreaks, humans often base their decision to adhere to an intervention strategy on individual choices and opinions. However, due to data limitations and inference challenges, infectious disease models usually omit these variables. We constructed a compartmental, deterministic Susceptible-Exposed-Infectious-Recovered (SEIR) disease model that includes a behavioural function with parameters influencing intervention uptake.

Impact of stereochemical replacement on activity and selectivity of membrane-active antibacterial and antifungal cyclic peptides.

Herein, we report a library of 7-mer macrocyclic peptides designed by systematically replacing one, multiple, or all L-amino acids with their D-isomers in our previously identified hit compounds. Lead peptides, 15c and 16c, showed broad-spectrum activity against bacteria (Gram-positive minimum inhibitory activity (MIC 1.5-6.

Medical digital twins: enabling precision medicine and medical artificial intelligence.

The notion of medical digital twins is gaining popularity both within the scientific community and among the general public; however, much of the recent enthusiasm has occurred in the absence of a consensus on their fundamental make-up. Digital twins originate in the field of engineering, in which a constantly updating virtual copy enables analysis, simulation, and prediction of a real-world object or process. In this Health Policy paper, we evaluate this concept in the context of medicine and outline five key components of the medical digital twin: the patient, data connection, patient-in-silico, interface, and twin synchronisation.

Evaluation of PE5 Entries on the Human Proteome Project Target List.

One aim of the international Human Proteome Organization (HUPO) Human Proteome Project (HPP) is to obtain high-confidence translation evidence for every human protein-coding gene established in its target list of 19,433 entries based on the protein-coding genes from Ensembl-GENCODE. However, 76 are annotated in UniProtKB (as of release 2024_06) with PE5, indicating skepticism in the protein's existence from a manual curator, so it is unclear if these entries belong in the HPP target list. Here, we review these 76 entries by assembling evidence from the literature, reference databases, and genome alignments with other species to conclude whether these entries should be freed from their PE5 status to become annotated with PE1-4 in UniProtKB.

Profile: The Kenya Multi-Site Serosurveillance (KEMIS) collaboration.

The Kenya Multi Site Serosurveillance (KEMIS) collaboration set out to implement an integrated, nationally representative, population-based program of serological surveillance for past infection for a number of important infectious diseases in Kenya. The project started in December 2021 and built on a portfolio of SARS-CoV-2 research conducted in 2020 and 2021. In this profile paper, we describe the background of the KEMIS collaboration, its aim and objectives, the Health and Demographic Surveillance System sites that were involved in data collection, and the key activities undertaken.