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Key Points ift140 -deficient zebrafish exhibited phenotypes observed in mammals, including skeletal defects and kidney cysts. Beyond ciliogenesis, ift140 also regulated cell polarity and intracellular microtubule stability, potentially contributing to cystogenesis. Microhomology-mediated end joining–induced mosaic ift140 crispants enabled evaluation of cystogenesis in adult fish and F0-based screening for modifiers of kidney cysts. Background Genetic modifiers are believed to play an important role in the onset and severity of polycystic kidney disease, but identifying these modifiers has been challenging due to the lack of effective methodologies. Methods We generated zebrafish mutants of IFT140 , a skeletal ciliopathy gene and newly identified autosomal dominant polycystic kidney disease gene, to examine skeletal development and kidney cyst formation in larval and juvenile mutants. In addition, we used ift140 crispants, generated through efficient microhomology-mediated end joining–based genome editing, to compare phenotypes with mutants and conduct a pilot genetic modifier screen. Results ift140 mutants developed kidney cysts and bone defects similar to those seen in mammalian models. ift140 crispants recapitulated mutant phenotypes while bypassing the early lethality of the mutants, enabling the analysis of kidney cyst formation in adult fish. In addition to cilia defects, we identified nonciliary phenotypes, including disrupted cell polarity and aberrant cytoplasmic microtubule stabilization in kidney epithelial cells, as potential contributors to ift140 -associated cystogenesis. The ability to detect ift140 -associated kidney cysts with ease allowed us to develop an F0-based genetic screen to identify potential protective modifiers. A pilot screen of 16 genes previously implicated in dysregulated signaling pathways in autosomal dominant polycystic kidney disease revealed both known and novel modifiers, including mtor and ulk1a . We further found that inhibition of mtor and ulk1a reversed both cilia-related and non–cilia-related abnormalities in the kidney. Conclusions By establishing a zebrafish model of ift140 -associated cystic kidney disease, we recapitulated ift140 ’s ciliary role and uncovered a nonciliary function in kidney cystogenesis. Importantly, we demonstrated the feasibility of using ift140 mosaic crispants to evaluate cystogenesis in adult fish and to perform F0-based screening for identifying genetic modifiers of kidney cysts.

ABSTRACT While BAG3 has been identified as a causative gene for dilated cardiomyopathy, the major pathological events in BAG3‐ related cardiomyopathy that could be targeted for therapeutic benefit remain to be discovered. Here, we aim to uncover novel pathological events through genetic studies in a zebrafish bag3 cardiomyopathy model. Given the known cardioprotective effects of mtor inhibition and the fact that transcription factor EB (tfeb ) encodes a direct downstream phosphorylation target of mTOR signaling, we generated a cardiomyocyte‐specific transgenic line overexpressing tfeb ( Tg[cmlc2:tfeb] ). This overexpression was sufficient to restore defective proteostasis and rescue cardiac dysfunction in the bag3 cardiomyopathy model. Importantly, we detected accelerated cardiac senescence in the bag3 cardiomyopathy model, which can be mitigated by Tg(cmlc2:tfeb) . We compared cardiac transcriptomes between the Tg(cmlc2:tfeb) transgenic fish and the mtor xu015/+ mutant and found that inhibition of the fatty acid binding protein a ( fabp7a ) gene exerts therapeutic effects. Consistent with this genetic evidence, we detected elevated fabp7a expression in the bag3 cardiomyopathy model, whereas cardiomyocyte‐specific overexpression of fabp7a induced dysregulated proteostasis, accelerated cardiac senescence, and cardiac dysfunction. To elucidate the functions of Fabp7a in normative cardiac aging, we turned to the African Turquoise Killifish. We noted elevated Fabp7a expression in the hearts of aged killifish, and pharmacological inhibition of Fabp7a mitigated the cardiac aging process. Together, this study uncovered accelerated cardiac senescence as a key pathological event in bag3 cardiomyopathy and reveals that manipulating the mTOR‐Tfeb‐Fabp7a axis can mitigate this pathology and confer cardioprotective effects.

BACKGROUND: Whereas antiphospholipid syndrome (APS) is best known for increasing the risk of macrovascular thrombosis, APS vasculopathy is characterized by the abnormal proliferation of endothelial and smooth muscle cells, leading to occlusion of small blood vessels in the skin, kidneys, and heart, among other organs. The underlying mechanisms remain unclear, and targeted treatment options for patients with APS are lacking. METHODS: To identify and analyze APS microvascular endothelial cells (MVECs), skin biopsies of patients with APS complicated by livedo racemosa were characterized using single-cell RNA sequencing. CCN1 (cellular communication network factor 1) and CCN2 were identified in skin and kidney biopsies by immunofluorescence microscopy and in plasma by ELISA. Healthy dermal MVECs were cultured with APS patient–derived serum or immunoglobulin G (IgG), and relevant signaling pathways were characterized using quantitative PCR, immunoblotting, and immunofluorescence microscopy. The proliferation and migration of vascular smooth muscle cells were determined after exposure to conditioned medium from APS IgG–stimulated MVECs. A mouse model of APS IgG–accelerated neointima formation was developed. Anti-CCN2 monoclonal antibodies were tested in vascular smooth muscle cell functional assays and the mouse model. RESULTS: Increased endothelial cell expression of CCN1 and CCN2 was identified by single-cell RNA sequencing and further confirmed in APS skin by microscopy as well as in APS plasma by ELISA. Exposure of healthy MVECs to patient IgG triggered the upregulation of CCN1 and CCN2 via Toll-like receptor 4– and YAP1 (yes-associated protein 1)–mediated signaling. CCN2, originating from APS IgG–stimulated MVECs led to the proliferation and migration of vascular smooth muscle cells, phenotypes that were inhibited by an anti-CCN2 antibody or depletion of EGFR (epidermal growth factor receptor). We further observed increased expression of CCN2, along with evidence of YAP1 nuclear translocation, in kidney vessels of APS nephropathy biopsies. Finally, CCN2 inhibition with an anti-CCN2 monoclonal antibody significantly reduced neointima thickening and cell proliferation in a mouse model of APS IgG–accelerated neointima formation. CONCLUSIONS: This study revealed activation of YAP1-mediated signaling in APS dermal microvessels and demonstrated that the YAP1 target CCN2 plays a role in facilitating pro-proliferative communication between MVECs and vascular smooth muscle cells. These findings offer insights into the cellular and molecular mechanisms underlying APS vasculopathy, providing potential therapeutic targets for patients.

Abstract Purpose: Germline pathogenic variants (PV) in ATM increase the risk of pancreatic ductal adenocarcinoma (PDAC), but the underlying tumor biology of PDAC associated with germline PV in ATM has not been adequately explored. Experimental Design: Whole-genome, whole-exome, and RNA sequencing were performed on PDAC tumors from 25 germline ATM PV carriers diagnosed at Mayo Clinic between 2007 and 2017. Somatic and copy-number alterations, mutational signatures, transcriptomic subtypes, and the immune landscape were evaluated. Results: High-quality whole-exome and whole-genome sequencing were obtained from 21 and 15 tumors, respectively. Biallelic inactivation of ATM was observed in 87%, KRAS PV in 90%, CDKN2A homozygous loss in 60%, and TP53 alterations in <10% of these tumors. A predominant clock-like mutational signature was present in all samples. Whole-transcriptome analysis identified that the aberrantly differentiated endocrine exocrine subtype accounted for 18% of PDAC and was consistently associated with >5-year overall survival. In addition, a 28-gene expression–based signature associated with overall survival was identified and further validated in The Cancer Genome Atlas cohort. Immune landscape analysis through CODEX identified enriched CD4 T-helper cell/tumor interactions and reduced B7H3-high cell/tumor interactions in ATM PV carriers compared with noncarriers. Conclusions: The observed absence of TP53 PV and enrichment for CDKN2A alterations in ATM tumors, along with differences in the mutational signatures, transcriptomic subtypes and immune landscape, improve our understanding of the mechanistic pathways involved in PDAC development in germline ATM PV carriers and help identify potential targeted therapeutic strategies.

Background: Lung cancer ranks as the leading cause of cancer-related mortality worldwide. The complexity of tumor delineation, crucial for radiation therapy, requires expertise often unavailable in resource-limited settings. Artificial Intelligence (AI), particularly with advancements in deep learning (DL) and natural language processing (NLP), offers potential solutions yet is challenged by high false positive rates. Purpose: The Oncology Contouring Copilot (OCC) system is developed to leverage oncologist expertise for precise tumor contouring using textual descriptions, aiming to increase the efficiency of oncological workflows by combining the strengths of AI with human oversight. Methods: Our OCC system initially identifies nodule candidates from CT scans. Employing Language Vision Models (LVMs) like GPT-4V, OCC then effectively reduces false positives with clinical descriptive texts, merging textual and visual data to automate tumor delineation, designed to elevate the quality of oncology care by incorporating knowledge from experienced domain experts. Results: The deployment of the OCC system resulted in a 35.0% reduction in the false discovery rate, a 72.4% decrease in false positives per scan, and an F1-score of 0.652 across our dataset for unbiased evaluation. Conclusions: OCC represents a significant advance in oncology care, particularly through the use of the latest LVMs, improving contouring results by (1) streamlining oncology treatment workflows by optimizing tumor delineation and reducing manual processes; (2) offering a scalable and intuitive framework to reduce false positives in radiotherapy planning using LVMs; (3) introducing novel medical language vision prompt techniques to minimize LVM hallucinations with ablation study; and (4) conducting a comparative analysis of LVMs, highlighting their potential in addressing medical language vision challenges.

ABSTRACT T‐cell receptor (TCR) signaling plays a crucial role in various biological processes and is usually studied using global mass spectrometry‐based phosphoproteomic studies. Despite advancements in targeted mass spectrometry‐based assays for protein quantification, their application in studying signaling processes, for example, reproducible measurements of post‐translational modifications (PTMs) such as phosphorylation, remains limited. Tyrosine phosphorylation is critical for many signaling pathways but presents challenges due to the low abundance of phosphotyrosine‐containing peptides. Conventional untargeted methods often encounter data gaps when analyzing large sample sets, particularly for low‐abundance peptides. To address this issue, a targeted proteomics method called “SureQuant” was employed, which relies on triggered data acquisition with heavy isotope‐labeled peptides. This method has been shown to provide sensitive and reproducible quantification of low‐abundance peptides. Here we describe the development of a SureQuant‐based method to quantify phosphotyrosine peptides that are involved in the TCR signaling pathway. To monitor the change in phosphotyrosine signals upon activation, the T‐cells were stimulated with anti‐CD3/CD28 antibodies. We successfully quantified changes in important phosphotyrosine peptides in primary T‐cells upon stimulation with anti‐CD3/CD28 antibodies. This study showcases the ability of the SureQuant approach to accurately quantify low‐abundance phosphotyrosine peptides, highlighting its broader potential to study a diverse set of PTMs in physiological or clinical settings. Summary T‐cell receptor (TCR) signaling plays a fundamental role in immune responses, regulating T‐cell activation, differentiation, and function. While tyrosine phosphorylation is a key regulatory mechanism in this pathway, the low abundance of phosphotyrosine peptides presents a major challenge for their detection and quantification in complex biological samples. By employing the SureQuant targeted mass spectrometry approach, we achieved highly sensitive and reproducible quantification of key phosphotyrosine sites involved in T‐cell activation. This study provides a systematic view of TCR signaling dynamics, revealing distinct phosphorylation patterns across different activation timepoints. Our findings demonstrate the effectiveness of SureQuant in quantifying low‐abundance, post‐translationally modified peptides, offering a valuable tool for studying signaling pathways with greater precision. Additionally, this methodological framework can be extended to investigate other signaling networks, immune cell functions, and disease‐associated phosphotyrosine modifications.