Benjamin L Shneider, Rupa S Kanchi, Sandra L Grimm, Sridevi Devaraj, Juliet Emamaullee, Jeremy Schraw, Philip J Lupo, Jorge A Bezerra, Kathleen M Loomes, John C Magee, Ronald J Sokol, Kasper S Wang, Alyssa Kriegmeier, Evelyn Hsu, Jean P Molleston, Philip Rosenthal, Rohit Kohli, Saul J Karpen, Simon P Horslen, M Kyle Jensen, Arianna Barbetta, Cristian Coarfa
{"title":"血浆蛋白质组学与儿童胆汁淤积症肝脏硬度的相关性涉及上皮到间质转化。","authors":"Benjamin L Shneider, Rupa S Kanchi, Sandra L Grimm, Sridevi Devaraj, Juliet Emamaullee, Jeremy Schraw, Philip J Lupo, Jorge A Bezerra, Kathleen M Loomes, John C Magee, Ronald J Sokol, Kasper S Wang, Alyssa Kriegmeier, Evelyn Hsu, Jean P Molleston, Philip Rosenthal, Rohit Kohli, Saul J Karpen, Simon P Horslen, M Kyle Jensen, Arianna Barbetta, Cristian Coarfa","doi":"10.1097/HC9.0000000000000796","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Pediatric cholestatic liver diseases can be characterized by rapidly progressive fibrosis. A multicenter cross-sectional analysis of vibration-controlled elastography in biliary atresia (BA), alpha-1 antitrypsin deficiency (A1AT), and Alagille syndrome (ALGS) was leveraged to interrogate the plasma proteome relative to liver stiffness measurements (LSM).</p><p><strong>Methods: </strong>Slow off-rate modified aptamer scanning profiling of >7000 proteins in plasma from 187 children with BA (n=93), A1AT (n=31), ALGS (n=46), and healthy pediatric controls (n=17) was performed, and correlations with LSM were undertaken.</p><p><strong>Results: </strong>There was an abundance of LSM correlated proteins (BA n=2720, A1AT n=694, ALGS n=5968). Interestingly, a distinct plasma proteome was found in ALGS relative to BA and A1AT. Weighted Correlation Network Analysis identified groups of proteins with strong LSM correlation (eg, in a BA module of interest, Pearson correlation coefficient 0.79, p=5´0-21). Machine learning developed models predicting LSM as a continuous variable (median R2=0.62 for BA). For BA, time to transplant could be predicted equally well by the proteome or clinical parameters (elastic net models achieved a C-index using proteome 0.91, clinical parameters 0.91, proteome and clinical parameters 0.90). Single-cell transcriptomics predicted the potential hepatic cell of origin for the most informative proteins, which included macrophage, mesenchymal, mesothelial, and endothelial cells. The epithelial-to-mesenchymal transition pathway was enriched in LSM correlated proteins in all 3 diseases.</p><p><strong>Conclusions: </strong>The plasma proteome is highly correlated in a disease-specific fashion with LSM in BA, A1AT, and ALGS. These correlations provide unique opportunities to identify biomarkers and focus attention on epithelial-to-mesenchymal transition in pediatric cholestasis.</p>","PeriodicalId":12978,"journal":{"name":"Hepatology Communications","volume":"9 10","pages":""},"PeriodicalIF":5.6000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12483069/pdf/","citationCount":"0","resultStr":"{\"title\":\"Plasma proteome correlations with liver stiffness in pediatric cholestasis implicate epithelial to mesenchymal transition.\",\"authors\":\"Benjamin L Shneider, Rupa S Kanchi, Sandra L Grimm, Sridevi Devaraj, Juliet Emamaullee, Jeremy Schraw, Philip J Lupo, Jorge A Bezerra, Kathleen M Loomes, John C Magee, Ronald J Sokol, Kasper S Wang, Alyssa Kriegmeier, Evelyn Hsu, Jean P Molleston, Philip Rosenthal, Rohit Kohli, Saul J Karpen, Simon P Horslen, M Kyle Jensen, Arianna Barbetta, Cristian Coarfa\",\"doi\":\"10.1097/HC9.0000000000000796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Pediatric cholestatic liver diseases can be characterized by rapidly progressive fibrosis. A multicenter cross-sectional analysis of vibration-controlled elastography in biliary atresia (BA), alpha-1 antitrypsin deficiency (A1AT), and Alagille syndrome (ALGS) was leveraged to interrogate the plasma proteome relative to liver stiffness measurements (LSM).</p><p><strong>Methods: </strong>Slow off-rate modified aptamer scanning profiling of >7000 proteins in plasma from 187 children with BA (n=93), A1AT (n=31), ALGS (n=46), and healthy pediatric controls (n=17) was performed, and correlations with LSM were undertaken.</p><p><strong>Results: </strong>There was an abundance of LSM correlated proteins (BA n=2720, A1AT n=694, ALGS n=5968). Interestingly, a distinct plasma proteome was found in ALGS relative to BA and A1AT. Weighted Correlation Network Analysis identified groups of proteins with strong LSM correlation (eg, in a BA module of interest, Pearson correlation coefficient 0.79, p=5´0-21). Machine learning developed models predicting LSM as a continuous variable (median R2=0.62 for BA). For BA, time to transplant could be predicted equally well by the proteome or clinical parameters (elastic net models achieved a C-index using proteome 0.91, clinical parameters 0.91, proteome and clinical parameters 0.90). Single-cell transcriptomics predicted the potential hepatic cell of origin for the most informative proteins, which included macrophage, mesenchymal, mesothelial, and endothelial cells. The epithelial-to-mesenchymal transition pathway was enriched in LSM correlated proteins in all 3 diseases.</p><p><strong>Conclusions: </strong>The plasma proteome is highly correlated in a disease-specific fashion with LSM in BA, A1AT, and ALGS. These correlations provide unique opportunities to identify biomarkers and focus attention on epithelial-to-mesenchymal transition in pediatric cholestasis.</p>\",\"PeriodicalId\":12978,\"journal\":{\"name\":\"Hepatology Communications\",\"volume\":\"9 10\",\"pages\":\"\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2025-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12483069/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hepatology Communications\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/HC9.0000000000000796\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hepatology Communications","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/HC9.0000000000000796","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
Plasma proteome correlations with liver stiffness in pediatric cholestasis implicate epithelial to mesenchymal transition.
Background: Pediatric cholestatic liver diseases can be characterized by rapidly progressive fibrosis. A multicenter cross-sectional analysis of vibration-controlled elastography in biliary atresia (BA), alpha-1 antitrypsin deficiency (A1AT), and Alagille syndrome (ALGS) was leveraged to interrogate the plasma proteome relative to liver stiffness measurements (LSM).
Methods: Slow off-rate modified aptamer scanning profiling of >7000 proteins in plasma from 187 children with BA (n=93), A1AT (n=31), ALGS (n=46), and healthy pediatric controls (n=17) was performed, and correlations with LSM were undertaken.
Results: There was an abundance of LSM correlated proteins (BA n=2720, A1AT n=694, ALGS n=5968). Interestingly, a distinct plasma proteome was found in ALGS relative to BA and A1AT. Weighted Correlation Network Analysis identified groups of proteins with strong LSM correlation (eg, in a BA module of interest, Pearson correlation coefficient 0.79, p=5´0-21). Machine learning developed models predicting LSM as a continuous variable (median R2=0.62 for BA). For BA, time to transplant could be predicted equally well by the proteome or clinical parameters (elastic net models achieved a C-index using proteome 0.91, clinical parameters 0.91, proteome and clinical parameters 0.90). Single-cell transcriptomics predicted the potential hepatic cell of origin for the most informative proteins, which included macrophage, mesenchymal, mesothelial, and endothelial cells. The epithelial-to-mesenchymal transition pathway was enriched in LSM correlated proteins in all 3 diseases.
Conclusions: The plasma proteome is highly correlated in a disease-specific fashion with LSM in BA, A1AT, and ALGS. These correlations provide unique opportunities to identify biomarkers and focus attention on epithelial-to-mesenchymal transition in pediatric cholestasis.
期刊介绍:
Hepatology Communications is a peer-reviewed, online-only, open access journal for fast dissemination of high quality basic, translational, and clinical research in hepatology. Hepatology Communications maintains high standard and rigorous peer review. Because of its open access nature, authors retain the copyright to their works, all articles are immediately available and free to read and share, and it is fully compliant with funder and institutional mandates. The journal is committed to fast publication and author satisfaction.