Matrix Biology Plus

The African spiny mouse (Acomys cahirinus) exhibits a unique capacity among mammals for scarless tissue regeneration, making it a compelling model for investigating the cellular mechanisms underlying regenerative healing. To determine how cellular heterogeneity and specific phenotypes influence fibroblast behavior, we established an immortalized Acomys fibroblast line along with a CRISPR/Cas9-mediated Col3A1 knockout variant and a DNA damage-induced senescent population. Compared with Mus musculus, NIH 3T3 fibroblasts, Acomys cells displayed distinct morphology, similar migration speeds, reduced directional persistence, and greater biophysical heterogeneity. While previous studies have linked regenerative wound healing to the elevated expression of collagen type III (Col3A1), CRISPR-mediated knockout of Col3A1 in Acomys fibroblasts yielded comparable biophysical profiles to wild-type cells in 2D culture. To examine additional contributors to the enhanced wound-like matrix environment, we established a senescence model in which Acomys fibroblasts exhibited elevated resistance to DNA-damaging agents, complete loss of proliferation, and altered single-cell morphology. In 3D collagen gel contraction assays, Col3A1 knockout attenuated matrix remodeling capacity, whereas the introduction of a small fraction of senescent cells enhanced gel contraction and remodeling dynamics, suggesting that senescent fibroblasts can modulate collective matrix behaviors. Together, these findings demonstrate that both Col3A1 expression and senescence-associated cell states contribute to fibroblast-driven matrix remodeling, highlighting Acomys fibroblasts as a valuable model for investigating how cellular heterogeneity and senescence-associated cell phenotypes could influence regenerative wound healing.

Structural AbstractO_ST_ABSBackgroundC_ST_ABSTriple-negative breast cancer (TNBC) represents a major clinical challenge due to its aggressiveness, heterogeneity and limited availability of effective targeted therapy. We investigated whether LRP-1, a multifunctional cell-surface endocytic and signaling receptor, contributes to TNBC progression. MethodsUsing CRISPR-Cas9, LRP-1-deficient murine 4T1 and human HS578-T TNBC cells were used. Functional consequences were assessed through migration, invasion, and 3D spheroid assays, imaging of focal adhesions and actin organization, atomic force microscopy, and plasmin activity assays. Global molecular reprogramming was analyzed by label-free quantitative proteomics and secretomics. LRP-1-deficient or proficient 4T1 cells were implanted orthotopically in immunocompetent mice; tumor progression was monitored longitudinally while peritumoral collagen architecture and immune microenvironment composition were characterized by second harmonic generation imaging and immunohistochemistry. ResultsWe show that LRP-1 loss reduces TNBC aggressiveness, as reflected by decreased migration and invasive capacity, reduced spheroid evasion, and significant morphological changes in focal adhesion and actin structure. LRP-1-deficient cells became stiffer and showed lower LOXL-4 levels, while pericellular proteolytic activity remained unchanged, suggesting other proteases mechanism. Multi-omic analysis revealed alterations in extracellular matrix (ECM), epithelial-mesenchymal transition, and inflammatory pathways. In vivo, LRP-1-deficiency reduced tumor progression and peritumoral collagen deposition, while increasing CD8+ T and Natural Killer cell infiltration, together with a cytokine profiling compatible with a more immune-permissive microenvironment. ConclusionsLRP-1 act as a key contributor in TNBC progression through matrix remodeling, mechano-adaptation, and immune exclusion. Positioning it as a candidate biomarker for TNBC patients who are likely to benefit from stroma-targeting therapies. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/732906v2_ufig1.gif" ALT="Figure 1"> View larger version (60K): org.highwire.dtl.DTLVardef@1b595c2org.highwire.dtl.DTLVardef@7b208aorg.highwire.dtl.DTLVardef@1956e54org.highwire.dtl.DTLVardef@17e55d0_HPS_FORMAT_FIGEXP M_FIG C_FIG

Spatial proteomic imaging technologies enable the simultaneous assessment of immune cell abundance and spatial organization within the tumor microenvironment. Spatial clustering is commonly summarized using measures such as Ripleys K or nearest-neighbor G-functions at a fixed radius. However, these approaches depend on scale selection and may obscure biologically relevant patterns occurring across spatial ranges. We propose a functional data analysis (FDA) framework to model spatial clustering trajectories derived across a continuum of radii. Functional principal component analysis (FPCA) was used to summarize dominant modes of spatial variation, and resulting scores were incorporated into Cox proportional hazards models as both main effects and interaction with immune cell abundance. The approach was applied to multiplex immunofluorescence data from five ovarian cancer studies, comprising 773 high-grade ovarian serous tumors. Analyses focused on CD3+ and CD8+ T cell populations within the tumor compartment of the tissue, adjusting for age at diagnosis and cancer stage, with study-specific estimates combined using random-effects meta-analysis. Higher abundance of both T cells and CD8+ T cells was consistently associated with improved overall survival. Beyond abundance, spatial features captured by the leading functional principal component were independently associated with survival, particularly for CD8+ T cells. Interaction models further showed that the prognostic effect of immune infiltration depended on spatial clustering, with tumors characterized by high abundance and low spatial clustering exhibiting the most favorable outcomes. These findings indicate that spatial organization provides complementary prognostic information beyond abundance alone and suggests that more diffuse immune infiltration may reflect more effective anti-tumor activity in ovarian cancer. Overall, FDA offers a flexible and interpretable framework for modeling spatial clustering across scales and identifying prognostic spatial features not captured by fixed-radius or distance analyses.

The surface layer of articular cartilage provides for low-friction joint movement and protects the tissue from mechanical wear. The superficial zone chondrocytes (SZCs) of the surface layer produce proteoglycan-4 (PRG4), which is a lubricant that is necessary to reduce friction. Articular cartilage has limited capacity for self-repair and cell-based therapies, such as autologous chondrocyte implantation (ACI), is used to stimulate repair. However, in ACI, cells are expanded on tissue culture polystyrene where SZC poorly attach, proliferate slowly and dedifferentiate. Consequently, expanded SZC produce fibrocartilage tissue with insufficient PRG4. We previously demonstrated that culturing SZC on chondrocyte-derived decellularized extracellular matrix (CM) enhances SZC attachment and preserves phenotype. Since fibronectin (FN) was identified as the most abundant matrix protein within CM, here we tested the hypothesis that FN-coated culture surfaces would partially reproduce the beneficial effects of CM. We found that, similar to CM, SZC on FN-coated polystyrene increased SZC attachment and proliferation. However, unlike CM, SZCs expanded on FN-coated polystyrene remained more dedifferentiated as indicated by spread cells, elevated fibroblastic and contractile mRNA levels, and increased formation of SMA positive stress fibers. Consistent with the dedifferentiated phenotype, SZC on FN-coated polystyrene displayed extensive stress fibers, and higher nuclear myocardin-related-transcription-factor-a (MRTF-A). In contrast, CM reduced stress fiber formation and diminished nuclear MRTF-A in SZC. CM provides matrix cues beyond FN that suppress dedifferentiation and preserve the SZC phenotype. Identifying the matrix cues necessary to improve SZC expansion could lead to the generation of a superior surface in ACI repair tissue.

Cellular senescence is characterized by stable cell-cycle arrest, cytoskeletal remodeling, and altered secretion of senescence-associated secretory phenotype (SASP) factors, including SERPINE1/plasminogen activator inhibitor-1 (PAI-1). Although extracellular matrix (ECM) stiffening has been linked to fibroblast mechanotransduction and SERPINE1-associated remodeling, the molecular pathway connecting substrate stiffness to SERPINE1 regulation in senescent fibroblasts remains incompletely understood. Here, we investigated how defined substrate stiffness affects fibroblast morphology, mechanical phenotype, and SERPINE1 expression, and examined whether the clathrin adaptor AP2A1 participates in this response in replicative senescent human fibroblasts. Using tunable polyacrylamide hydrogels, we found that increasing substrate stiffness enhanced fibroblast spreading, stress fiber thickening, focal adhesion maturation, cellular stiffness, and senescence-associated marker expression. Stiff substrates also increased SERPINE1 expression and its colocalization with actin fibers, with stronger responses observed in senescent than in young fibroblasts. Functional perturbation experiments further suggested that SERPINE1 contributes to stress fiber organization in senescent cells. In addition, AP2A1 colocalized with SERPINE1, and modulation of AP2A1 under knockdown and overexpression conditions altered SERPINE1 signal intensity. Conversely, perturbation of SERPINE1 also affected AP2A1, supporting a potential bidirectional relationship between these two components. Together, these findings identify SERPINE1 as a stiffness-responsive factor associated with senescence-linked cytoskeletal remodeling and support a functional relationship between AP2A1 and SERPINE1 in senescent fibroblasts. These results suggest that the AP2A1-SERPINE1 axis may contribute to the link between extracellular mechanical cues and senescence-associated fibroblast remodeling.

Background: Uncontrolled bleeding complicates trauma, surgery and many medical conditions. While currently available procoagulant therapies (e.g., plasma-derived factors, recombinant proteins, antifibrinolytics) have crucial limitations. Methods: N389 (CQQTVTLLPAADLDDFSC) was synthesized by Fmoc solid-phase chemistry, characterized by HPLC and LC-MS, then tested in normal human pooled plasma in microplate mechanical clot-formation assays using incubated and immediate addition formats. Kinetic parameters (plasma recalcification, PRT; maximum absorbance, Amax) were obtained from absorbance curves fit to four-parameter logistic models. Mixing studies with modified (i.e., aged, adsorbed) plasma probed factor dependence. Results: In plasma coagulation assays activated with 25 mM CaCl2, baseline clotting showed a PRT of 23.74 +/- 0.27 min and Amax of 0.1813 +/- 0.0043 (n = 3), whereas N389 significantly reduced PRT to 8.442 +/- 6.0395 min without incubation (p = 0.0012), further decreased PRT after incubation (p < 0.0001), increased Amax to 0.2523, and retained comparable activity across normal, adsorbed, and aged plasma, in contrast to S1255 which showed a faster but incubation-labile effect with PRT 2.353 +/- 1.3685 min (p = 0.0007) and marked attenuation in factor-depleted and aged plasma. Mixing studies showed N389 activity persisted across normal, aged and adsorbed plasma, consistent with a mechanism that does not require intact plasma coagulation factor profiles (specifically factors II, V, VIII, VII, IX, X). Discussion: Collectively with prior evidence on anionic surfaces, Ca2+-binding Gla domains, and peptide-modulated fibrin polymerization, these results support a model in which N389 functions as a stable, charge-based scaffold that coordinates divalent cations and/or directly nucleates fibrin(ogen), while highlighting limitations of bulk clotting assays and the need for targeted thrombin generation, binding, aggregation, and contact-activation studies. Conclusions: The aspartate-rich peptide N389 is a sustained, factor-independent procoagulant at least in vitro. N389 thus merits further mechanistic and translational evaluation as a synthetic hemostatic agent.

The neuromuscular junction (NMJ) is a specialised synapse between motor neurons and skeletal muscle, and its progressive deterioration contributes to age-related and metabolic disease-associated declines in muscle function. Advanced glycation end-products (AGEs) accumulate in tissues during ageing, diabetes, and chronic metabolic dysfunction and have been implicated in neuromuscular degeneration, yet their effects on the intact NMJ have not previously been examined in a human model system. This study employed a fully human, serum-free, and neural growth factor-free NMJ co-culture system, combining neural progenitor cells with immortalised human myoblasts derived from an 83-year-old donor, to investigate the effects of AGE exposure on neuromuscular integrity across structural, metabolic, functional, and secretory outcomes. AGE exposure induced significant reductions in motor neuron axonal length, myotube remodelling with centralised nuclear positioning, mitochondrial membrane depolarisation, elevated mitochondrial superoxide production, mitochondrial uncoupling, and reductions in spontaneous contraction intensity and frequency. Neurotrophic and myogenic growth factor signalling was significantly downregulated in AGE-treated co-cultures. These findings identify the NMJ as a sensitive target of glycation stress and establish this fully human co-culture platform as a physiologically relevant model for investigating glycation-related neuromuscular pathology and evaluating candidate therapeutic interventions.

Fibroproliferative diseases such as systemic sclerosis are complex conditions characterized by chronic skin inflammation and progressive fibrosis, with fibroblast activation as a central feature. While Transforming Growth Factor Beta (TGF-{beta}) signaling is a well-established driver of fibrosis in SSc, inflammatory pathways such as Nuclear Factor Kappa B (NF-{kappa}B) also contribute substantially to disease morbidity. We previously identified CD109 as a TGF-{beta} co-receptor and negative regulator of fibrotic signaling; however, its role in inflammatory signaling remains unknown. Here, we investigate the function of CD109 in regulating inflammatory signaling in skin fibroblasts. We show that, CD109 co-localizes and associates with Toll-like receptors (TLR2, TLR4) and tumor necrosis factor receptors (TNFRI, TNFRII), and that loss of CD109 enhances TNF--induced NF-{kappa}B activation and reprograms cytokine production in human dermal fibroblasts. Furthermore, both global and fibroblast-specific CD109 knockout mice exhibit increased immune cell infiltration and skin inflammation. In parallel, single-cell transcriptomic analyses across a pan-disease fibroblast atlas show that CD109 expression is preferentially maintained in structural and homeostatic fibroblast subtypes, whereas immune-interacting fibroblast subsets consistently display decreased CD109 levels. Pathway-level analyses of fibroblast pseudobulk samples reveal altered activity of canonical inflammatory pathways in SSc compared to healthy skin. Together, these findings identify CD109 as a fibroblast-intrinsic negative regulator of inflammatory signaling and suggest a broader role for CD109 in modulating inflammatory responses in systemic sclerosis. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=102 SRC="FIGDIR/small/736423v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@be9e08org.highwire.dtl.DTLVardef@794173org.highwire.dtl.DTLVardef@b81eb5org.highwire.dtl.DTLVardef@1e811f5_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract: CD109 Restrains Fibroblast-Driven Inflammation by Modulating NF-{kappa}B Signaling. Generated using FigureLabs.ai and edited using Adobe Photoshop. C_FIG

An autocrine pro-adhesive/pro-contractile signaling loop, through the mechanosensitive transcriptional cofactor YAP, promotes fibrosis. The CCN family of matricellular proteins modify adhesive signaling. Of these, CCN3 is antifibrotic. We show that BLR-200, a CCN3-derived peptide, has anti-fibrotic properties in the bleomycin-induced model of scleroderma skin fibrosis. In vitro, BLR-200 delayed, but did not abolish, fibroblast adhesion to collagen and nuclear YAP localization. In vivo, BLR-200 prevented/treated bleomycin-induced skin fibrosis, and reduced bleomycin-induced expression of profibrotic genes including alpha-smooth muscle actin, CCN1 and CCN2. Lineage tracing and scRNA-seq analyses revealed that the myofibroblasts in this model were quantitatively derived from collagen-lineage Pi16+/Col15+ve fibroblasts. BLR-200 prevented myofibroblast differentiation in this model and trajectory of fibroblasts toward a Sfrp2-positive subset, a cell type associated with poor clinical outcome. BLR-200 impairs YAP activation in vitro and appearance of translationally-relevant fibroblast subtypes in vivo and is a novel anti-fibrotic agent for SSc skin fibrosis.

Endometriosis, a common inflammatory gynecological disorder affecting up to 10% of women worldwide, is characterized by the presence of endometrium-like tissue outside the uterus. Current diagnostic methods, such as ultrasound and MRI, effectively detect ovarian and deep endometriosis but fail to detect more common peritoneal type. Diagnosing peritoneal endometriosis currently necessitates invasive laparoscopy and histological confirmation. Despite numerous efforts, no new reliable biomarkers have successfully transitioned into routine clinical use. This study aimed to investigate the use of targeted metabolomics to discover metabolite ratios capable of identifying endometriosis in plasma samples. We analyzed a discovery population of 235 patients and a validation population of 278 patients. All cases and controls in both populations were diagnosed by laparoscopy. Control subjects included individuals presenting with symptoms such as pain, dysmenorrhea, infertility, or other benign conditions, but who had no laparoscopic evidence of endometriosis. Using generalized linear models (GLMs) and machine learning, the study identified specific metabolite ratios as potential biomarkers that can distinguish different types of endometriosis and enable mass spectrometry-based diagnostics for peritoneal endometriosis. The best-validated GLM, derived from the concentration ratios of amino acids, acylcarnitines, sphingomyelins, and phosphatidylcholines, consisted of Thr/SM(OH) C22:2 + PC aa C40:5/SFA_PC + lysoPC a C16:0/SM(OH) C16:1. This model yielded an AUC of 0.82 (95% CI 0.619-0.891, with 76% sensitivity and 81% specificity) for peritoneal endometriosis. This innovative approach offers a robust diagnostic model, addressing an unmet medical need by facilitating earlier detection of peritoneal endometriosis and improving overall clinical management.

Spontaneous labour onset is a precisely timed physiological transition that determines outcomes for millions of pregnancies annually, yet its upstream molecular triggers remain unknown. Here we report a longitudinal plasma proteomics study using the Olink Explore HT platform to measure over 5,400 protein targets in repeated blood samples (median 13 samples per woman) taken from 40 women in the last month up to spontaneous term labour and delivery. Combining longitudinal trajectory modelling with interpretable machine learning for labour timing prediction, we identified five proteins - AFP, ACTA2, ANGPT2, IL1RL1, and LMOD1 - that change in a reproducible sequential order preceding labour onset across all 40 women. IL1RL1, encoding both soluble and membrane-bound ST2, the receptors for IL-33, rose earliest and most consistently, preceding declining AFP and ANGPT2 and a late rise in the smooth muscle contractile proteins ACTA2 and LMOD1. The temporal ordering of these proteins is consistent with a two-phase biological cascade in which feto-placental maturation and vascular remodelling precede activation of the IL-33/ST2 alarmin axis, until the soluble/membrane bound ST2 (sST2/ST2L) balance shifts towards membrane-bound signaling, driving myometrial contractile priming. Mendelian randomisation provided independent human genetic support for the involvement of the IL-33/ST2 axis in labour timing. These findings provide longitudinal plasma proteomic evidence implicating activation of this axis in the timing of spontaneous human labour and identify LMOD1 as a novel circulating marker of myometrial activation.

The unique peri-islet and double-layered vascular basement membrane (BM) of the human pancreatic islet are critical regulators of beta cell survival and function. While animal models imply that endothelial cells (ECs) are the exclusive source of islet BM, the precise cellular origins and spatial organization of the human islet matrisome remain poorly defined due to overlap in genes that mark non-epithelial cell populations and loss of spatial context during single-cell dissociation. In this study, we combine computational integration of whole-pancreas single-cell transcriptomes using CONCORD with high-resolution MERFISH spatial genomics to map the extracellular matrix (ECM) landscape across 251,477 spatially resolved cells from seven non-diabetic and five type 2 diabetic human donors. Contrary to an endothelial-centric paradigm, our data support a cooperative division of labor in the provision of BM, where pericytes represent the dominant transcriptional source of structural BM collagens (COL4A1, COL4A2) and ECs selectively express complementary matrix factors (HSPG2, LAMA5). Spatial neighborhood analysis further resolves a specialized population of islet-associated fibroblasts enriched at the islet boundary that are characterized by expression of peri-islet laminin genes. In type 2 diabetes, this homeostatic perivascular niche changes composition, marked by a significant increase in the islet fibroblast-to-pericyte ratio. Concurrently, islet pericytes undergo pro-fibrotic reprogramming characterized by the loss of canonical identity markers (PDGFRB), altered expression of ECM genes including COL1A2 and COL18A1, and upregulation of contractile machinery (MYL9). In the non-diabetic pancreas, pericytes constitute the principal vascular BM-expressing population within islets, whereas type 2 diabetes is associated with coordinated, compartment-specific remodeling of vascular-supportive stromal populations. Research in ContextO_ST_ABSWhat is already known about this subject?C_ST_ABSO_LIExtracellular matrix (ECM), and in particular basement membrane (BM), are essential structural and signaling components of the pancreatic islet microenvironment that contribute to beta cell function and survival. C_LIO_LIIslet capillaries are closely associated with endocrine cells and are surrounded by specialized BMs; however, the cellular sources of these BM components in the adult human pancreas remain incompletely defined. C_LIO_LIType 2 diabetes is associated with islet fibrosis and vascular dysfunction, but cell type-specific alterations in ECM-producing populations have not been comprehensively characterized in situ. C_LI What is the key question?O_LIWhich cell populations produce the components of ECM, including BM, within the adult human islet, and how are these populations altered in type 2 diabetes? C_LI What are the new findings?O_LISpatial transcriptomics identifies pericytes as the predominant vascular-associated source of ECM, including BM, gene expression in human islets, whereas endothelial cells exhibit complementary but more limited matrix-producing programs. C_LIO_LISpatial transcriptomics identifies an islet-associated fibroblast population enriched for fibrillar collagen and BM-associated genes that localizes preferentially to the islet surface niche. C_LIO_LIType 2 diabetes is associated with remodeling of perivascular ECM programs, including reduced expression of vascular basement membrane genes, a shift from a pericyte to smooth muscle-like identity, and increased expression of matrix-remodeling and fibrosis-associated genes. C_LI How might this impact clinical practice in the foreseeable future?O_LIDefining the cellular sources and disease-associated remodeling of the human islet ECM may inform the development of therapies aimed at preserving or restoring the islet microenvironment in type 2 diabetes. C_LIO_LIIncluding key subtypes of islet-associated ECM-producing cells may be important in improving current protocols to generate replacement islets from human pluripotent stem cells for cell replacement therapy for diabetes. C_LI

Introduction. TAC/SARIFA has been introduced as a new robust and easy-to-evaluate biomarker in several cancer entities, including colorectal cancer. It is defined by direct contact between at least five tumour cells and one adipocyte and is believed to indicate metabolic reprogramming associated with adverse outcome. However, the mechanism that leads to TAC/SARIFA positivity remains unclear. To investigate whether there is an individual component, we conducted a study on double and triple cancers, establishing a within patient design. Methods. We retrospectively analysed a total of 135 cases with 276 colorectal cancers from two academic medical centres. The TAC/SARIFA status was evaluated, as were the basic histopathological factors. The median follow-up time was 120 months. Results. Cases with any TAC/SARIFA positive tumours showed significantly reduced overall survival (62 vs. 88 months; p = 0.011). Analysing the entire cohort, the rates of concordant and discordant cases followed a random distribution. However, restricting the analysis to synchronous pT3/4 cases revealed a significant deviation from a random distribution (p = 0.016). Conclusion. This study reveals significant concordance of TAC/SARIFA status in synchronous locally advanced colorectal double/triple carcinomas, supporting the concept that tumour adipocyte interaction reflects a host related microenvironmental condition linked to metabolic reprogramming rather than a purely tumour intrinsic event.

The extracellular matrix (ECM) is a complex network of ubiquitously present acellular material that plays a critical role in cell proliferation, migration, invasion, and tissue morphogenesis. Non-enzymatic glycation of ECM modifies the structure and function of ECM proteins and can support a pro-inflammatory milieu in the tumor microenvironment. However, the impact of glycated ECM on cancer cell growth remains underexplored despite its importance in facilitating disease progression. Here, we investigate the effect of ECM glycation on cancer cell morphology and migration behavior. We used methylglyoxal (MG) as a glycation agent and collagen as our ECM model protein. For in vitro growth analysis, breast cancer cells were seeded on growth surfaces coated with both non-glycated and glycated collagen. Cell behavior was monitored for 24 hours using a real-time holographic imaging system. Holographic image analysis revealed significant differences between non-glycated and glycated growth substrates in cell spreading area, eccentricity, perimeter length, optical thickness, and optical volume, as well as cell migration and motility, which directly influence cell adhesion and proliferation. These changes were found to be cell line biased. Overall, our findings suggest that ECM glycation has a significant effect on cell morphology, migration and cell growth. Holographic live cell imaging was determined to be an excellent method to monitor cells without the need for any labeling and with minimal perturbations.

A impairs post-infarction cardiac repair through dysregulated fibroblast activation and excessive extracellular matrix (ECM) deposition, yet the molecular mechanisms driving the age-associated defects remain poorly defined. Here, we show that miR-10b upregulation in cardiac fibroblasts acts as an endogenous cardioprotective response to myocardial infarction (MI), limiting adverse remodeling through suppression of Lpar2 (lysophosphatidic acid receptor 2). Using integrative analysis of mRNA and small RNA transcriptomes in cardiac fibroblasts from young and aged mice, we demonstrate that miR-10b is enriched in cardiac fibroblasts and further upregulated in experimental models of cardiac fibrosis, but not in hepatic fibrosis. Temporal profiling after MI revealed a biphasic regulation of miR-10b, with downregulation during the early inflammatory phase followed by upregulation during the reparative and maturation phases. Gain-of-function experiments in cardiac fibroblasts showed that miR-10b suppressed proliferation, migration, and pro-fibrotic gene expression, while promoting apoptosis under inflammatory conditions. Integrated target prediction and transcriptomic analyses identified Lpar2 as a direct miR-10b target, validated by luciferase reporter assay and confirmed at both mRNA and protein levels. miR-10b overexpression attenuated lysophosphatidic acid (LPA)-induced fibroblast proliferation and collagen I/III synthesis, supporting an anti-fibrotic role. In vivo inhibition of miR-10b in aged mice exacerbated post-infarction ventricular dilatation and wall thinning, accompanied by increased fibrotic remodeling markers, consistent with enhanced extracellular matrix remodeling, providing in vivo evidence for this regulatory axis. Collectively, these findings establish miR-10b as a protective regulator of post-infarction remodeling and in aging heart through suppression of Lpar2-mediated fibroblast activation highlighting its potential as a therapeutic target in age-associated cardiac fibrosis.

Sex differences strongly influence susceptibility to metabolic dysfunction-associated steatotic liver disease (MASLD), yet the regulatory mechanisms underlying these differences remain incompletely understood. To examine sex-specific hepatic adaptation to a high-fat (HF) diet mouse model of MASLD, we integrated proteomics, transcriptomics, and Oxford Nanopore direct RNA sequencing for transcriptome-wide m6A profiling in male and female mouse livers. Female mice were relatively protected from HF diet-induced hepatic steatosis and exhibited distinct proteome remodeling enriched for peroxisomal pathways. In contrast, transcriptomic responses in females were dominated by inflammatory signatures and did not recapitulate the metabolic adaptations observed at the protein level, revealing extensive RNA-protein discordance and post-transcriptional remodeling. Integrated RNA-protein analyses identified female-specific amplification of peroxisomal proteins despite modest transcript-level changes. HF diet also induced sex-specific remodeling of m6A RNA methylation and altered regulation of the m6A methylation system. Notably, reduced 3' UTR m6A methylation of peroxisomal transcripts inversely correlated with increased protein abundance relative to RNA expression in female mice. Together, these findings implicate m6A-associated post-transcriptional regulation in sex-specific hepatic adaptation to HF diet exposure and the basis for discordance between many of the mRNAs and proteins in the liver.

Background Diagnostic interpretation of kidney allograft biopsies using the Banff classification remains variable, but the determinants of this variability are not fully defined. We performed a global, fully digital multi-reader study to identify the principal drivers of disagreement in Banff-based assessment. Methods Thirty six kidney transplant biopsies were independently scored by 67 renal pathologists on a standardized digital platform. Readers assessed Banff lesions on hematoxylin and eosin, periodic acid Schiff, and Jones' silver stains; final diagnostic categories were assigned using prespecified Banff-based decision rules. Interobserver agreement was quantified with Gwet's agreement coefficient (AC) statistics. Determinants of diagnostic agreement were evaluated) using pairwise mixed-effects logistic regression, and reader similarity was examined by principal component analysis (PCA) with post hoc molecular annotation. Results Agreement for final diagnostic categories was moderate (Gwet's AC1, 0.55; 95% CI, 0.47 - 0.63). Lesion-level agreement varied substantially, with lowest agreement for selected threshold-dependent inflammatory or semi-quantitative lesions, including interstitial inflammation in areas of IFTA, peritubular capillaritis and arteriolar hyalinosis. Diagnostic concordance differed markedly across biopsies, indicating strong case-level heterogeneity. In pairwise models, differences in active inflammatory and vascular lesion scoring were the strongest correlates of diagnostic disagreement; reader experience and geography contributed minimally. Principal component analysis showed reader variation was organized along two dominant axes: a rejection-calling threshold axis linked mainly to tubulointerstitial inflammatory injury, and a T cell-mediated (TCMR/TI) and antibody-mediated/microvascular (AMR/MVI) inflammation-oriented phenotypic classification axis. Conclusion Interobserver variation in Banff-based kidney transplant biopsy assessment is structured rather than random and driven mainly by how readers threshold and integrate key inflammatory lesion compartments rather than experience or geographic location.

Pathogenic variants in COL3A1 cause Vascular Ehlers-Danlos syndrome (vEDS), a rare connective tissue disorder characterised by vascular fragility, increasing the risk of arterial ruptures/dissection. Advances in genomic sequencing have led to an increasing number of COL3A1 variants where the clinical significance is unclear, with these being termed variants of uncertain significance (VUS). VUS creates challenges for diagnosis and clinical management. Thus major efforts have been made to reclassify these to either pathogenic or benign variants in disease causality. Functional data from model systems can provide significant evidence to clinicians on the pathogenicity of a variant. To address the increasing numbers of VUS in COL3A1, we developed a fast pipeline using F0 crispant zebrafish to provide functional evidence for variant classification despite there being no direct orthologue of COL3A1 in zebrafish. Loss of col5a1 resulted in cardiac defects, dysmorphic blood vessel structures and delayed angiogenic sprouting. Trunk haemorrhage prevalence under physical stress increased in col5a1 knockout zebrafish, recapitulating vEDS patients. Remarkably, co-injection of F0 col5a1 knockout crispants with human wildtype COL3A1 mRNA partially rescued cardiac and vascular phenotypes, indicating a level of functional conservation between zebrafish type V and human type III collagen. These findings establish a tractable in vivo platform for functional assessment of COL3A1 VUS. Phenotypic rescue with wildtype COL3A1 provides a benchmark against which the pathogenicity of variants can be evaluated, generating functional evidence for VUS reclassification. Our model provides both a valuable tool for investigating vEDS disease mechanisms and a clinically relevant platform to improve diagnoses for patients with suspected vEDS.

The spatial arrangement of immune cells in the tumor microenvironment (TME) varies widely, from dispersed to clustered and tumor excluded to infiltrating. Multiplexed spatial profiling is an effective means of characterizing tumor-infiltrating lymphocytes (TILs) and immune complexes such as tertiary lymphoid structures (TLS) in the TME. However, few approaches have been described for objectively parametrizing patterns of immune organization and assessing their association with biological or clinical variables. This makes it difficult to evaluate whether a set of tumors is relatively immunologically cold or hot. Here we describe an intuitive set of statistical tools (available in the R package, tlsR) for characterizing lymphocyte patterns in the TME of solid cancers. We apply tlsR to primary prostate cancer (PCa), which is often described as immunologically cold. Using a cohort of 29 radical prostatectomy specimens stratified into low Gleason-grade (LGG; n=15) and high Gleason-grades (HGG; n =14) we show that HGG PCa is significantly more infiltrated than LGG PCa with lymphocytes organized into B cell or T cell enriched immune clusters (BICs and TICs). A subset of these ICs have the B and T cell zonation and follicular dendritic cells characteristic of a bona fide TLS. HGGs are also enriched with ICs containing precursor exhausted T cells (Tpex) and proliferating B cells and their tumor compartments harbor granzyme-B+ cytotoxic T cells in contact with cancer cells. Thus, far from being cold, a subset of HGG PCa has features associated with active immune surveillance, a finding with implications for emerging PCa immunotherapies.

Identification of signaling networks is an essential goal in systems biology. Here, we use CRISPR/Cas9 knockout screening (employing a whole kinome sgRNA library) to identify functionally critical protein kinases in a well-studied Gs-dependent G-protein coupled receptor (GPCR)-signaling model, namely the vasopressin V2 receptor (V2R) pathway. Screening was done using a specially-designed fluorescence-based reporter cell line with green-fluorescent protein (GFP) co-transcribed with Aqp2, a gene whose transcription is dependent on vasopressin-mediated activation of protein kinase A (PKA). Positive regulators (n=14) included PKA-catalytic subunit (Prkaca) and Dyrk1a (minibrain homolog). Negative regulators (n=12) included PKA-regulatory subunit type I, Stk11 (catalytic subunit of liver kinase B1 [LKB1] complex), and three TGF-{beta} receptor subunits (Tgfbr1, Tgfbr2, Tgfbr3) (see https://esbl.nhlbi.nih.gov/Databases/Kinome-CRISPR-screen/ for full list). Dyrk1a knockout cell lines failed to express AQP2 protein and exhibited a profound decrease in AQP2 mRNA. RNA-sequencing demonstrated widespread increases in cell-cycle transcripts, with a general defect in cell differentiation, accounting for AQP2 loss. TGF-{beta} exposure to un-transformed cells results in a profound decrease in V2R and AQP2 mRNA abundance along with multiple additional transcriptional targets of V2R-PKA signaling, consistent with prior findings in TGF-{beta}-mediated vasopressin escape. Stk11/LKB1 knockout lines displayed marked increases in AQP2 protein and mRNA, even in the absence of vasopressin. RNA-sequencing showed a marked similarity between the responses to Stk11/LKB1 deletion and vasopressin exposure in untransformed cells. Phospho-proteomic data point to opposing roles of Stk11/LKB1 and PKA in the regulation of cAMP-responsive transcriptional coactivator (CRTC) proteins in the transcriptional response to V2R-PKA signaling. Significance StatementCells throughout the body are regulated by extracellular signals like the hormone, vasopressin. Hormonal effects on cellular function are mediated by membrane receptors that trigger biochemical changes, often by inducing chemical modification of the amino acids making up individual proteins, such as addition of function-altering phosphate groups (phosphorylation). Protein phosphorylation is mediated by enzymes known as "protein kinases". Here, we have screened all known protein kinases using modern CRISPR/Cas9 technology to identify those involved in vasopressin action in the kidney. As expected from prior knowledge, the screen identified protein kinase A and one of its regulatory subunits, but also identified several protein kinases not previously implicated in vasopressin action in the kidney.