Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.10.16.682971

Lectin Microarray-based Glycomics and Machine Learning Identify Shared Osteoarthritis Biomarkers in Humans, Dogs, and Horses

Abstract

Post-traumatic osteoarthritis (PTOA) is a common sequela to joint injury in both humans and companion animal species such as horses and dogs. Despite the increasing prevalence of osteoarthritis (OA) in humans, investigation of glycosylation changes associated with OA remains in its infancy. Recent advances, such as lectin microarray analysis, now enable detailed glycan profiling in complex biofluids such as synovial fluid. Using lectin microarray technology, this study characterized glycosylation patterns in synovial fluid samples from healthy and OA-affected joints in horses, dogs, and humans. Comparative glycan-binding profiles within and between species revealed conserved and distinct glycomic signatures associated with OA. Machine learning models, including classification algorithms, effectively distinguished OA from healthy joints, identifying key lectins and glycan epitopes crucial to these predictions. The identified lectin markers reflect specific glycosylation pathways and potential inflammatory mechanisms, demonstrating their value in differentiating between healthy and OA phenotypes. Our findings underscore the promise of integrated glycomic profiling and machine learning to enhance our understanding of glycan involvement in the pathogenesis of OA and to facilitate the development of diagnostic and therapeutic strategies applicable to both veterinary and human medicine. In BriefOsteoarthritis affects humans and companion animals; however, its molecular features remain unclear. Using lectin microarrays and machine learning, we identified conserved and species-specific glycan signatures in synovial fluid that differentiate between control and osteoarthritic joints. This One Health approach highlights shared molecular mechanisms of joint degeneration and establishes data-driven glycomic profiling as a framework for understanding osteoarthritis across species. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=162 SRC="FIGDIR/small/682971v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1644beaorg.highwire.dtl.DTLVardef@1b4133dorg.highwire.dtl.DTLVardef@15b286aorg.highwire.dtl.DTLVardef@1ba5d62_HPS_FORMAT_FIGEXP M_FIG C_FIG

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Reesink, H. L., Peralta, A. G., Mahal, L. K., Raeisimakiani, P., Hayashi, K.. 2025-10-17. Lectin Microarray-based Glycomics and Machine Learning Identify Shared Osteoarthritis Biomarkers in Humans, Dogs, and Horses. https://doi.org/10.1101/2025.10.16.682971

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A G-Quadruplex Containing First Intron Harbors a Functional Polyadenylation Signal in TP53

First introns of mammalian genes are often longer than other introns and may contain regulatory elements, suggesting that they may have roles in gene regulation. We detected a previously unannotated, low abundance intronic transcript, TP53-INT1, using long-read direct RNA sequencing data. TP53-INT1 has low coding potential and terminates within the first and longest intron of TP53. The transcript structure and 3'-end were validated by independent experimental and in silico evidence. We identified a canonical polyadenylation signal upstream of the transcript termination site and demonstrated its functionality using reporter assays. Furthermore, a potential G-quadruplex (G4)-forming sequence was identified upstream of this polyadenylation signal. The G4-forming potential was confirmed using spectroscopic and thermal stability analyses. Complementing the in vitro characterizations, treatment with Pyridostatin, a G4-stabilizing drug, was associated with decreased TP53 expression. Together, these findings characterize a previously unannotated TP53 intronic transcript and reveal a local genomic context combining accessible chromatin, a functional polyadenylation signal, and a potential G4-forming sequence that may influence full-length transcription.

molecular biology↗

LOca-1: A minimal calcium-activated arginyl-specific orthocaspase from the Loki's Castle hydrothermal vent field

Orthocaspases are prokaryotic homologs of metacaspases within the C14 family of cysteine proteases, yet their biochemical properties and cellular roles remain poorly understood. Here, we report the discovery and comprehensive characterization of LOca-1, a metagenome-derived orthocaspase from the Loki's Castle hydrothermal vent field. LOca-1 consists primarily of a single, conserved p20 catalytic domain and undergoes calcium-dependent activation through cleavage at a conserved arginine residue. Once activated, LOca-1 displays strict arginyl-specific proteolytic activity and strong selectivity for residues surrounding the cleavage site. The enzyme is both thermoactive and thermostable, exhibiting maximal activity at 65 {degrees}C and a melting temperature of approximately 72 {degrees}C. Structural modelling revealed conservation of the catalytic core relative to plant metacaspases despite substantial sequence divergence. To our knowledge, LOca-1 is only the second biochemically characterized orthocaspase and the first reported from a deep-sea hydrothermal vent environment. LOca-1 expands the known biochemical diversity of prokaryotic metacaspase homologs and provides insights into the properties of a minimal p20-domain orthocaspase. Together, our findings establish LOca-1 as a thermostable, calcium-activated arginyl-specific orthocaspase and provide a foundation for future studies of orthocaspase function in prokaryotes.

molecular biology↗

A TMEM175 Mutation Disrupts the Lysosomal-Mitochondrial Axis Causing Short QT Syndrome and Sudden Cardiac Death

Short QT Syndrome (SQTS) is a rare cardiac channelopathy characterized by abnormally short QTc intervals and increased sudden cardiac death (SCD) risk. Only 20-30% of SQTS cases have been linked to genetic mutations, typi-cally in surface membrane ion channels. We identified a novel lysosomal TMEM175 gene mutation (p.Arg377His) in 7 patients in a family with SQTS and SCD. Genetic analyses, including whole exome sequencing in the family and rare-variant burden testing in [~]118,000 UK Biobank participants, sug-gested an association between TMEM175 rare variants and QT interval short-ening. Functional studies in CRISPR-engineered mice and patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) revealed that TMEM175R377H causes shortened QT intervals and hastened repolariza-tion, respectively, as well an increased arrhythmia susceptibility. Isolated TMEM175R377H cardiomyocytes showed action potential duration (APD) abbre-viation, confirmed in whole TMEM175R377H mouse hearts and patient-specific iPSC-CM monolayers. In silico and electron microscopy studies showed that TMEM175R377H disrupts lysosomal-mitochondrial interactions, leading to mito-chondrial dysfunction, as evidenced by the reduced maximal respiration and spare respiratory capacity, with reduced ATP production, IKATP activation, and APD shortening. This mutation represents the first non-sarcolemmal ion chan-nel defect associated with SQTS and high SCD risk, potentially expanding the genetic landscape of the disease.

molecular biology↗