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Chen H, Li Q, Gao T, Wang Y, Ren X, Liu S, Zhang S, Zhou P, Lyu J, Bai H, Wang Y. Causal role of immune cells in inflammatory bowel disease: A Mendelian randomization study. Medicine (Baltimore) 2024; 103:e37537. [PMID: 38579066 PMCID: PMC10994490 DOI: 10.1097/md.0000000000037537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 02/16/2024] [Indexed: 04/07/2024] Open
Abstract
Inflammatory bowel disease (IBD) is characterized by an inflammatory response closely related to the immune system, but the relationship between inflammation and IBD remains unclear. We performed a comprehensive 2-sample Mendelian randomization (MR) analysis to determine the causal relationship between immune cell characteristics and IBD. Using publicly available genetic data, we explored the relationship between 731 immune cell characteristics and IBD risk. Inverse-variance weighting was the primary analytical method. To test the robustness of the results, we used the weighted median-based, MR-Egger, simple mode, and mode-based methods. Finally, we performed a reverse MR analysis to assess the possibility of reverse causality. We identified suggestive associations between 2 immune cell traits and IBD risk (P = 4.18 × 10-5 for human leukocyte antigen-DR on CD14+ monocytes, OR: 0.902; 95% CI: 0.859-0.947; for CD39+ CD4+ T cells, P = 6.24 × 10-5; OR: 1.042; 95% CI: 1.021-1.063). Sensitivity analysis results of these immune cell traits were consistent. In reverse MR analysis, we found no statistically significant association between IBD and these 2 cell traits. Our study demonstrates the close connection between immune cells and IBD using MR, providing guidance for future clinical and basic research.
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Affiliation(s)
- Haoyu Chen
- School of Graduate, Hebei University of Chinese Medicine, Hebei, Shijiazhuang, China
| | - Qi Li
- School of Graduate, Hebei University of Chinese Medicine, Hebei, Shijiazhuang, China
| | - Tianyu Gao
- School of Graduate, Hebei University of Chinese Medicine, Hebei, Shijiazhuang, China
| | - Yuhua Wang
- School of Graduate, Hebei University of Chinese Medicine, Hebei, Shijiazhuang, China
| | - Xuetong Ren
- School of Graduate, Hebei University of Chinese Medicine, Hebei, Shijiazhuang, China
| | - Shaowei Liu
- School of Graduate, Hebei University of Chinese Medicine, Hebei, Shijiazhuang, China
| | - Shixiong Zhang
- School of Graduate, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Pingping Zhou
- Department of Gastroenterology, Hebei Province Hospital of Chinese Medicine, Shijiazhuang, China
| | - Jingjing Lyu
- Department of Gastroenterology, Hebei Province Hospital of Chinese Medicine, Shijiazhuang, China
| | - Haiyan Bai
- Department of Gastroenterology, Hebei Province Hospital of Chinese Medicine, Shijiazhuang, China
| | - Yangang Wang
- School of Graduate, Hebei University of Chinese Medicine, Hebei, Shijiazhuang, China
- Department of Gastroenterology, Beijing University of Chinese Medicine, Third Affiliated Hospital, Beijing, China
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2
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Lefevre PLC, Wang Z, Teft W, Zou G, Van Viegen T, Linggi B, Jairath V, Feagan BG, Pai RK, Vande Casteele N. Identification of immune cell markers associated with ulcerative colitis histological disease activity in colonic biopsies. J Clin Pathol 2024:jcp-2023-209327. [PMID: 38418201 DOI: 10.1136/jcp-2023-209327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/11/2024] [Indexed: 03/01/2024]
Abstract
AIMS Accurate determination of histological activity in ulcerative colitis (UC) is essential given its diagnostic and prognostic importance. Data on the relationship between histology and immune cell markers are limited. We aimed to evaluate the association between histological disease activity and immune cell marker concentration in colonic biopsies from patients with UC. METHODS Sigmoid colon biopsies from 20 patients with UC were retrospectively assessed using the Robarts Histopathology Index (RHI). Targeted mass spectrometry determined the concentration of 18 immune cell markers (cluster of differentiation (CD) 4, CD8, CD19, CD20, CD40, CD56, CD68, CD103, forkhead box p3 (FOXP3), human leucocyte antigen, DR alpha chain (HLA-DRA), interleukin 10 (IL-10), IL-23 subunit alpha (IL-23A), IL-23 receptor (IL-23R), IL-2 receptor alpha chain (IL-2RA), Ki67, lymphocyte-activation gene 3 (LAG-3), programmed cell death protein 1 (PD-1) and PD ligand 1 (PD-L1)). The association between RHI score and immune cell marker concentration was quantified using Spearman's rank correlation coefficient (ρ) and related 95% CIs. RESULTS Fourteen of the 18 immune cell marker proteins were detected, with tissue concentration ranging from 0.003 to 11.53 fmol/µg. The overall RHI score was positively correlated with CD19, CD20, CD40, FOXP3, LAG-3, PD-1 and PD-L1 concentration (ρ=0.596-0.799) and negatively correlated with CD56 concentration (ρ=-0.460). There was no significant association between RHI score and CD4, CD8, CD68, CD103, HLA-DRA or Ki67 concentration. CONCLUSIONS This study provides insight into the correlation between immune cell marker expression and histological disease activity and the possible molecular and immunological determinants underlying microscopic disease activity in UC.
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Affiliation(s)
| | | | | | - Guangyong Zou
- Alimentiv Inc, London, Ontario, Canada
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | | | | | - Vipul Jairath
- Alimentiv Inc, London, Ontario, Canada
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Department of Medicine, Western University, London, Ontario, Canada
| | - Brian G Feagan
- Alimentiv Inc, London, Ontario, Canada
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Department of Medicine, Western University, London, Ontario, Canada
| | - Rish K Pai
- Department of Laboratory Medicine & Pathology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Niels Vande Casteele
- Alimentiv Inc, London, Ontario, Canada
- Department of Medicine, University of California, La Jolla, California, USA
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3
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Mennillo E, Kim YJ, Lee G, Rusu I, Patel RK, Dorman LC, Flynn E, Li S, Bain JL, Andersen C, Rao A, Tamaki S, Tsui J, Shen A, Lotstein ML, Rahim M, Naser M, Bernard-Vazquez F, Eckalbar W, Cho SJ, Beck K, El-Nachef N, Lewin S, Selvig DR, Terdiman JP, Mahadevan U, Oh DY, Fragiadakis GK, Pisco A, Combes AJ, Kattah MG. Single-cell and spatial multi-omics highlight effects of anti-integrin therapy across cellular compartments in ulcerative colitis. Nat Commun 2024; 15:1493. [PMID: 38374043 PMCID: PMC10876948 DOI: 10.1038/s41467-024-45665-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 01/30/2024] [Indexed: 02/21/2024] Open
Abstract
Ulcerative colitis (UC) is driven by immune and stromal subsets, culminating in epithelial injury. Vedolizumab (VDZ) is an anti-integrin antibody that is effective for treating UC. VDZ is known to inhibit lymphocyte trafficking to the intestine, but its broader effects on other cell subsets are less defined. To identify the inflammatory cells that contribute to colitis and are affected by VDZ, we perform single-cell transcriptomic and proteomic analyses of peripheral blood and colonic biopsies in healthy controls and patients with UC on VDZ or other therapies. Here we show that VDZ treatment is associated with alterations in circulating and tissue mononuclear phagocyte (MNP) subsets, along with modest shifts in lymphocytes. Spatial multi-omics of formalin-fixed biopsies demonstrates trends towards increased abundance and proximity of MNP and fibroblast subsets in active colitis. Spatial transcriptomics of archived specimens pre-treatment identifies epithelial-, MNP-, and fibroblast-enriched genes related to VDZ responsiveness, highlighting important roles for these subsets in UC.
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Affiliation(s)
- Elvira Mennillo
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | | | - Gyehyun Lee
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Iulia Rusu
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Ravi K Patel
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- CoLabs, University of California San Francisco, San Francisco, CA, USA
| | | | - Emily Flynn
- CoLabs, University of California San Francisco, San Francisco, CA, USA
| | - Stephanie Li
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Jared L Bain
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Christopher Andersen
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- CoLabs, University of California San Francisco, San Francisco, CA, USA
| | - Arjun Rao
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- CoLabs, University of California San Francisco, San Francisco, CA, USA
| | - Stanley Tamaki
- CoLabs, University of California San Francisco, San Francisco, CA, USA
| | - Jessica Tsui
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- CoLabs, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Alan Shen
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- CoLabs, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Madison L Lotstein
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- CoLabs, University of California San Francisco, San Francisco, CA, USA
| | - Maha Rahim
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Mohammad Naser
- Biological Imaging Development CoLab, University of California San Francisco, San Francisco, CA, USA
| | | | - Walter Eckalbar
- CoLabs, University of California San Francisco, San Francisco, CA, USA
| | - Soo-Jin Cho
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Kendall Beck
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Najwa El-Nachef
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Sara Lewin
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Daniel R Selvig
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Jonathan P Terdiman
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Uma Mahadevan
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - David Y Oh
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- Division of Hematology/Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Gabriela K Fragiadakis
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- CoLabs, University of California San Francisco, San Francisco, CA, USA
| | | | - Alexis J Combes
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- CoLabs, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Michael G Kattah
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
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4
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Tang Q, Shi X, Xu Y, Zhou R, Zhang S, Wang X, Zhu J. Identification and Validation of the Diagnostic Markers for Inflammatory Bowel Disease by Bioinformatics Analysis and Machine Learning. Biochem Genet 2024; 62:371-384. [PMID: 37351719 DOI: 10.1007/s10528-023-10422-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 06/07/2023] [Indexed: 06/24/2023]
Abstract
Inflammatory bowel disease (IBD) is a chronic inflammatory disorder of the gastrointestinal tract which is mediated by the inappropriate immune responses. This study was aimed to identify novel diagnostic biomarkers for diagnosis of IBD and explore the relationship between the diagnostic biomarkers and infiltrated immune cells. GSE38713, GSE53306, and GSE75214 downloaded from the Gene Expression Omnibus (GEO) database were split into training and testing sets. Differentially expressed genes (DEGs) were screened using the "limma" package. Gene Ontology (GO) and KEGG pathway enrichment analysis of DEGs were performed by clusterProfiler package. The LASSO regression and support vector machine recursive feature elimination (SVM-RFE) algorithms were conducted to identify novel diagnostic biomarkers. The receiver operating characteristic (ROC) curve was applied to evaluate the diagnostic value of the candidate biomarkers. The relationship of the candidate biomarkers and infiltrating immune cells in IBD were evaluated by CIBERSOTR. Quantitative Real-Time PCR (qRT-PCR) was applied to measure the expression level of the biomarkers in IBD. A total of 289 dysregulated genes were identified as DEGs in IBD. These DEGs were significantly enriched in chemokine signaling pathway and cytokine-cytokine receptor interaction. RHOU was identified as a critical diagnostic gene in IBD, which was confirmed using ROC curve and qRT-PCR assays. Immune cell infiltration analysis showed that RHOU was correlated with macrophages M2, dendritic cells resting, mast cells resting, T cells CD4 memory resting, macrophages M0, and mast cells activated. Our results imply that RHOU may be a potential diagnostic biomarker for IBD.
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Affiliation(s)
- Qiong Tang
- Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guilin, 541001, Guangxi, China
| | - Xiang Shi
- Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guilin, 541001, Guangxi, China
| | - Ying Xu
- Office of Drug Clinical Trials, Affiliated Hospital of Guilin Medical University, Guilin, 541001, Guangxi, China
| | - Rongrong Zhou
- Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guilin, 541001, Guangxi, China
| | - Songnan Zhang
- Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guilin, 541001, Guangxi, China
| | - Xiujuan Wang
- College of Medical Laboratory Science, Guilin Medical University, Guilin, 541004, Guangxi, China
| | - Junfeng Zhu
- Department of Clinical Laboratory, Affiliated Hospital of Guilin Medical University, Guilin, 541001, Guangxi, China.
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5
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Mennillo E, Kim YJ, Lee G, Rusu I, Patel RK, Dorman LC, Flynn E, Li S, Bain JL, Andersen C, Rao A, Tamaki S, Tsui J, Shen A, Lotstein ML, Rahim M, Naser M, Bernard-Vazquez F, Eckalbar W, Cho SJ, Beck K, El-Nachef N, Lewin S, Selvig DR, Terdiman JP, Mahadevan U, Oh DY, Fragiadakis GK, Pisco A, Combes AJ, Kattah MG. Single-cell and spatial multi-omics highlight effects of anti-integrin therapy across cellular compartments in ulcerative colitis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.01.21.525036. [PMID: 36711576 PMCID: PMC9882264 DOI: 10.1101/2023.01.21.525036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Ulcerative colitis (UC) is driven by immune and stromal subsets, culminating in epithelial injury. Vedolizumab (VDZ) is an anti-integrin antibody that is effective for treating UC. VDZ is known to inhibit lymphocyte trafficking to the intestine, but its broader effects on other cell subsets are less defined. To identify the inflammatory cells that contribute to colitis and are affected by VDZ, we performed single-cell transcriptomic and proteomic analyses of peripheral blood and colonic biopsies in healthy controls and patients with UC on VDZ or other therapies. Here we show that VDZ treatment is associated with alterations in circulating and tissue mononuclear phagocyte (MNP) subsets, along with modest shifts in lymphocytes. Spatial multi-omics of formalin-fixed biopsies demonstrates trends towards increased abundance and proximity of MNP and fibroblast subsets in active colitis. Spatial transcriptomics of archived specimens pre-treatment identifies epithelial-, MNP-, and fibroblast-enriched genes related to VDZ responsiveness, highlighting important roles for these subsets in UC.
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6
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van Eijs MJ, ter Linde JJ, Baars MJ, Amini M, Laclé MM, Brand EC, Delemarre EM, Drylewicz J, Nierkens S, Verheijden RJ, Oldenburg B, Vercoulen Y, Suijkerbuijk KP, van Wijk F. Highly multiplexed spatial analysis identifies tissue-resident memory T cells as drivers of ulcerative and immune checkpoint inhibitor colitis. iScience 2023; 26:107891. [PMID: 37766980 PMCID: PMC10520880 DOI: 10.1016/j.isci.2023.107891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 08/06/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
Colitis is a prevalent adverse event associated with immune checkpoint inhibitor (ICI) therapy with similarities to inflammatory bowel disease. Incomplete mechanistic understanding of ICI colitis curtails evidence-based treatment. Given the often-overlooked connection between tissue architecture and mucosal immune cell function, we here applied imaging mass cytometry (IMC) to gain spatial proteomic insight in ICI colitis in comparison to ulcerative colitis (UC). Using a cell segmentation pipeline that simultaneously utilizes high-resolution nuclear imaging and high-multiplexity IMC, we show that intra-epithelial CD8+ T cells are significantly more abundant (and numerically dominant) in anti-PD-1 ± anti-CTLA-4-induced colitis compared to anti-CTLA-4-induced colitis and UC. We identified activated, cycling CD8+ tissue-resident memory T(RM) cells at the lamina propria-epithelial interface as drivers of cytotoxicity in ICI colitis and UC. Moreover, we found that combined ICI-induced colitis featured highest granzyme B levels both in tissue and serum. Together, these data reinforce CD8+ TRM cells as potentially targetable drivers of ICI colitis.
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Affiliation(s)
- Mick J.M. van Eijs
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Lundlaan 6, 3584 EA Utrecht, the Netherlands
- Department of Oncology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, the Netherlands
| | - José J.M. ter Linde
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Lundlaan 6, 3584 EA Utrecht, the Netherlands
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, the Netherlands
| | - Matthijs J.D. Baars
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
| | - Mojtaba Amini
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
- UCyTOF.nl, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Miangela M. Laclé
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, the Netherlands
| | - Eelco C. Brand
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Lundlaan 6, 3584 EA Utrecht, the Netherlands
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, the Netherlands
| | - Eveline M. Delemarre
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Lundlaan 6, 3584 EA Utrecht, the Netherlands
| | - Julia Drylewicz
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Lundlaan 6, 3584 EA Utrecht, the Netherlands
| | - Stefan Nierkens
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Lundlaan 6, 3584 EA Utrecht, the Netherlands
- Princess Máxima Center for Pediatric Oncology, P.O. Box 113, 3720 AC Utrecht, the Netherlands
| | - Rik J. Verheijden
- Department of Oncology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, the Netherlands
| | - Bas Oldenburg
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, the Netherlands
| | - Yvonne Vercoulen
- Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG Utrecht, the Netherlands
- UCyTOF.nl, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Karijn P.M. Suijkerbuijk
- Department of Oncology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584CX Utrecht, the Netherlands
| | - Femke van Wijk
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Lundlaan 6, 3584 EA Utrecht, the Netherlands
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7
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Zilbauer M, James KR, Kaur M, Pott S, Li Z, Burger A, Thiagarajah JR, Burclaff J, Jahnsen FL, Perrone F, Ross AD, Matteoli G, Stakenborg N, Sujino T, Moor A, Bartolome-Casado R, Bækkevold ES, Zhou R, Xie B, Lau KS, Din S, Magness ST, Yao Q, Beyaz S, Arends M, Denadai-Souza A, Coburn LA, Gaublomme JT, Baldock R, Papatheodorou I, Ordovas-Montanes J, Boeckxstaens G, Hupalowska A, Teichmann SA, Regev A, Xavier RJ, Simmons A, Snyder MP, Wilson KT. A Roadmap for the Human Gut Cell Atlas. Nat Rev Gastroenterol Hepatol 2023; 20:597-614. [PMID: 37258747 PMCID: PMC10527367 DOI: 10.1038/s41575-023-00784-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/14/2023] [Indexed: 06/02/2023]
Abstract
The number of studies investigating the human gastrointestinal tract using various single-cell profiling methods has increased substantially in the past few years. Although this increase provides a unique opportunity for the generation of the first comprehensive Human Gut Cell Atlas (HGCA), there remains a range of major challenges ahead. Above all, the ultimate success will largely depend on a structured and coordinated approach that aligns global efforts undertaken by a large number of research groups. In this Roadmap, we discuss a comprehensive forward-thinking direction for the generation of the HGCA on behalf of the Gut Biological Network of the Human Cell Atlas. Based on the consensus opinion of experts from across the globe, we outline the main requirements for the first complete HGCA by summarizing existing data sets and highlighting anatomical regions and/or tissues with limited coverage. We provide recommendations for future studies and discuss key methodologies and the importance of integrating the healthy gut atlas with related diseases and gut organoids. Importantly, we critically overview the computational tools available and provide recommendations to overcome key challenges.
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Affiliation(s)
- Matthias Zilbauer
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
- University Department of Paediatrics, University of Cambridge, Cambridge, UK.
- Department of Paediatric Gastroenterology, Hepatology and Nutrition, Cambridge University Hospitals, Cambridge, UK.
| | - Kylie R James
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Mandeep Kaur
- School of Molecular and Cell Biology, University of the Witwatersrand, Johannesburg, South Africa
| | - Sebastian Pott
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Zhixin Li
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Albert Burger
- Department of Computer Science, Heriot-watt University, Edinburgh, UK
| | - Jay R Thiagarajah
- Division of Gastroenterology, Hepatology and Nutrition, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joseph Burclaff
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University', Chapel Hill, NC, USA
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Frode L Jahnsen
- Department of Pathology, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Francesca Perrone
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- University Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Alexander D Ross
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- University Department of Paediatrics, University of Cambridge, Cambridge, UK
- University Department of Medical Genetics, University of Cambridge, Cambridge, UK
| | - Gianluca Matteoli
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium
| | - Nathalie Stakenborg
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium
| | - Tomohisa Sujino
- Center for the Diagnostic and Therapeutic Endoscopy, School of Medicine, Keio University, Tokyo, Japan
| | - Andreas Moor
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Raquel Bartolome-Casado
- Department of Pathology, Oslo University Hospital and University of Oslo, Oslo, Norway
- Wellcome Sanger Institute, Hinxton, UK
| | - Espen S Bækkevold
- Department of Pathology, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Ran Zhou
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Bingqing Xie
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Ken S Lau
- Epithelial Biology Center and Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Shahida Din
- Edinburgh IBD Unit, Western General Hospital, NHS Lothian, Edinburgh, UK
| | - Scott T Magness
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University', Chapel Hill, NC, USA
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Qiuming Yao
- Department of Computer Science and Engineering, University of Nebraska Lincoln, Lincoln, NE, USA
| | - Semir Beyaz
- Cold Spring Harbour Laboratory, Cold Spring Harbour, New York, NY, USA
| | - Mark Arends
- Division of Pathology, Centre for Comparative Pathology, Cancer Research UK Edinburgh Centre, Institute of Cancer and Genetics, University of Edinburgh, Edinburgh, UK
| | - Alexandre Denadai-Souza
- Laboratory of Mucosal Biology, Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium
| | - Lori A Coburn
- Vanderbilt University Medical Center, Nashville, TN, USA
- Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, USA
| | | | | | - Irene Papatheodorou
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Genome Campus, Hinxton, UK
| | - Jose Ordovas-Montanes
- Division of Gastroenterology, Hepatology and Nutrition, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Guy Boeckxstaens
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium
| | | | - Sarah A Teichmann
- Wellcome Sanger Institute, Hinxton, UK
- Theory of Condensed Matter Group, Cavendish Laboratory/Department of Physics, University of Cambridge, Cambridge, UK
| | - Aviv Regev
- Genentech, San Francisco, CA, USA
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Ramnik J Xavier
- Broad Institute and Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Alison Simmons
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | | | - Keith T Wilson
- Vanderbilt University Medical Center, Nashville, TN, USA
- Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, USA
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8
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Song X, Huang Q, Yang Y, Ma L, Liu W, Ou C, Chen Q, Zhao T, Xiao Z, Wang M, Jiang Y, Yang Y, Zhang J, Nan Y, Wu W, Ai K. Efficient Therapy of Inflammatory Bowel Disease (IBD) with Highly Specific and Durable Targeted Ta 2 C Modified with Chondroitin Sulfate (TACS). ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2301585. [PMID: 37224059 DOI: 10.1002/adma.202301585] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 05/06/2023] [Indexed: 05/26/2023]
Abstract
Non-invasive localization of lesions and specific targeted therapy are still the main challenges for inflammatory bowel disease (IBD). Ta, as a medical metal element, has been widely used in the treatment of different diseases because of its excellent physicochemical properties but is still far from being explored in IBD. Here, Ta2 C modified with chondroitin sulfate (CS) (TACS) is evaluated as a highly targeted therapy nanomedicine for IBD. Specifically, TACS is modified with dual targeting CS functions due to IBD lesion-specific positive charges and high expression of CD44 receptors. Thanks to the acid stability, sensitive CT imaging function, and strong reactive oxygen species (ROS) elimination ability, oral TACS can accurately locate and delineate IBD lesions through non-invasive CT imaging, and specifically targeted treat IBD effectively because high levels of ROS are a central factor in the progression of IBD. As expected, TACS has much better imaging and therapeutic effects than clinical CT contrast agent and first-line drug 5-aminosalicylic acid, respectively. The mechanism of TACS treatment mainly involves protection of mitochondria, elimination of oxidative stress, inhibiting macrophage M1 polarization, protection of intestinal barrier, and restoration of intestinal flora balance. Collectively, this work provides unprecedented opportunities for oral nanomedicines to targeted therapy of IBD.
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Affiliation(s)
- Xiangping Song
- Department of Geriatric Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Qiong Huang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China
| | - Yuqi Yang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China
| | - Liang Ma
- Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan, 430205, China
| | - Wenguang Liu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Chunlin Ou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Qiaohui Chen
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
- Hunan Provincial Key Laboratory of Cardiovascular Research, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
| | - Tianjiao Zhao
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
- Hunan Provincial Key Laboratory of Cardiovascular Research, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
| | - Zuoxiu Xiao
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
- Hunan Provincial Key Laboratory of Cardiovascular Research, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
| | - Mingyuan Wang
- Department of Geriatric Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Yitian Jiang
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
- Hunan Provincial Key Laboratory of Cardiovascular Research, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
| | - Yunrong Yang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China
| | - Jinping Zhang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, P. R. China
| | - Yayun Nan
- Geriatric Medical Center, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, 750002, China
| | - Wei Wu
- Department of Geriatric Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Kelong Ai
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
- Hunan Provincial Key Laboratory of Cardiovascular Research, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410008, China
- Key Laboratory of Aging-related Bone and Joint Diseases Prevention and Treatment., Ministry of Education, Xiangya Hospital, Central South University, Changsha, 410008, China
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9
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Ji L, Zhou Q, Huang J, Lu D. Macrophages in ulcerative colitis: A perspective from bibliometric and visual analysis. Heliyon 2023; 9:e20195. [PMID: 37809606 PMCID: PMC10559950 DOI: 10.1016/j.heliyon.2023.e20195] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/30/2023] [Accepted: 09/13/2023] [Indexed: 10/10/2023] Open
Abstract
Objectives Despite the many reported studies on macrophages in ulcerative colitis (UC), the overall research trends in this field are unclear. This study evaluates the research trends and hotspots regarding macrophages in UC using bibliometric analysis. Methods A systematic search was conducted in the Web of Science database to identify publications related to macrophages in UC from 2012 to 2021. R package 'bibliometrix', VOSviewers, CiteSpace and Microsoft Excel were utilised for the bibliometric analysis. Results 1074 articles published between 2012 and 2021 were analysed. The number of publications on macrophages in UC showed a consistently increasing trend, with USA and China as the leading contributors to this field. Notably, Georgia State University and Nanjing University contributed significantly to this field. Among the authors, Wang Y had the highest productivity, while Wu X received the most citations. The journal Gut was identified as the most authoritative journal in this field. Co-citation analysis revealed that the exploration of the mechanisms of macrophages in UC through in vivo and in vitro experiments was the primary focus of research. Moreover, the emerging research hotspots included keywords such as 'macrophage polarization', 'gut microbiota' and 'NLRP3 inflammasome'. Conclusions Research on macrophages in UC holds significant value and practical implications. Additionally, China demonstrated prolific output in this field, while the USA had the most influential contributions. Currently, research hotspots are centred around the modulation of gut microbiota to regulate macrophage polarization and macrophage pyroptosis as potential strategies for mitigating UC.
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Affiliation(s)
- Lijiang Ji
- Department of Anorectal Surgery, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, 215500, Jiangsu, China
| | - Qiong Zhou
- Graduate School, Beijing University of Chinese Medicine, Beijing, 100105, China
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Jinke Huang
- Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, 100091, China
| | - Dongxue Lu
- Department of Nutrition, Acupuncture and Moxibustion and Massage College & Health Preservation and Rehabilitation College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China
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10
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Du J, Zhang J, Wang L, Wang X, Zhao Y, Lu J, Fan T, Niu M, Zhang J, Cheng F, Li J, Zhu Q, Zhang D, Pei H, Li G, Liang X, Huang H, Cao X, Liu X, Shao W, Sheng J. Selective oxidative protection leads to tissue topological changes orchestrated by macrophage during ulcerative colitis. Nat Commun 2023; 14:3675. [PMID: 37344477 DOI: 10.1038/s41467-023-39173-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 06/01/2023] [Indexed: 06/23/2023] Open
Abstract
Ulcerative colitis is a chronic inflammatory bowel disorder with cellular heterogeneity. To understand the composition and spatial changes of the ulcerative colitis ecosystem, here we use imaging mass cytometry and single-cell RNA sequencing to depict the single-cell landscape of the human colon ecosystem. We find tissue topological changes featured with macrophage disappearance reaction in the ulcerative colitis region, occurring only for tissue-resident macrophages. Reactive oxygen species levels are higher in the ulcerative colitis region, but reactive oxygen species scavenging enzyme SOD2 is barely detected in resident macrophages, resulting in distinct reactive oxygen species vulnerability for inflammatory macrophages and resident macrophages. Inflammatory macrophages replace resident macrophages and cause a spatial shift of TNF production during ulcerative colitis via a cytokine production network formed with T and B cells. Our study suggests components of a mechanism for the observed macrophage disappearance reaction of resident macrophages, providing mechanistic hints for macrophage disappearance reaction in other inflammation or infection situations.
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Affiliation(s)
- Juan Du
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China.
| | - Junlei Zhang
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- Zhejiang University Cancer Centre, Zhejiang University, Hangzhou, 310002, China
| | - Lin Wang
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- Zhejiang University Cancer Centre, Zhejiang University, Hangzhou, 310002, China
| | - Xun Wang
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- Zhejiang University Cancer Centre, Zhejiang University, Hangzhou, 310002, China
| | - Yaxing Zhao
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- Zhejiang University Cancer Centre, Zhejiang University, Hangzhou, 310002, China
| | - Jiaoying Lu
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
| | - Tingmin Fan
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- Central Laboratory, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310002, China
| | - Meng Niu
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
| | - Jie Zhang
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
| | - Fei Cheng
- Pathology Department, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
| | - Jun Li
- Pathology Department, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
| | - Qi Zhu
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, No. 29 JiangJun Road, Jiang Ning District, Nanjing, Jiangsu, 211106, China
| | - Daoqiang Zhang
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, No. 29 JiangJun Road, Jiang Ning District, Nanjing, Jiangsu, 211106, China
| | - Hao Pei
- MobiDrop (Zhejiang), No. 455 Heshun Road, Tongxiang, Zhejiang, 314500, China
| | - Guang Li
- Department of Gastroenterology, Beijing Chaoyang Hospital, Capital Medical University, Chaoyang District, Beijing, 100024, China
| | - Xingguang Liang
- Department of Clinical Pharmacy, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China
- Central Laboratory, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310002, China
| | - He Huang
- Frontiers Science Center for Synthetic Biology, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
| | - Xiaocang Cao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Department of Hepato-Gastroenterology, Tianjin Medical University General Hospital, Tianjin Medical University, Tianjin, 300000, China.
| | - Xinjuan Liu
- Department of Gastroenterology, Beijing Chaoyang Hospital, Capital Medical University, Chaoyang District, Beijing, 100024, China.
| | - Wei Shao
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, No. 29 JiangJun Road, Jiang Ning District, Nanjing, Jiangsu, 211106, China.
| | - Jianpeng Sheng
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China.
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, China.
- Zhejiang University Cancer Centre, Zhejiang University, Hangzhou, 310002, China.
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11
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Mayer AT, Holman DR, Sood A, Tandon U, Bhate SS, Bodapati S, Barlow GL, Chang J, Black S, Crenshaw EC, Koron AN, Streett SE, Gambhir SS, Sandborn WJ, Boland BS, Hastie T, Tibshirani R, Chang JT, Nolan GP, Schürch CM, Rogalla S. A tissue atlas of ulcerative colitis revealing evidence of sex-dependent differences in disease-driving inflammatory cell types and resistance to TNF inhibitor therapy. SCIENCE ADVANCES 2023; 9:eadd1166. [PMID: 36662860 PMCID: PMC9858501 DOI: 10.1126/sciadv.add1166] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 12/16/2022] [Indexed: 06/01/2023]
Abstract
Although literature suggests that resistance to TNF inhibitor (TNFi) therapy in patients with ulcerative colitis (UC) is partially linked to immune cell populations in the inflamed region, there is still substantial uncertainty underlying the relevant spatial context. Here, we used the highly multiplexed immunofluorescence imaging technology CODEX to create a publicly browsable tissue atlas of inflammation in 42 tissue regions from 29 patients with UC and 5 healthy individuals. We analyzed 52 biomarkers on 1,710,973 spatially resolved single cells to determine cell types, cell-cell contacts, and cellular neighborhoods. We observed that cellular functional states are associated with cellular neighborhoods. We further observed that a subset of inflammatory cell types and cellular neighborhoods are present in patients with UC with TNFi treatment, potentially indicating resistant niches. Last, we explored applying convolutional neural networks (CNNs) to our dataset with respect to patient clinical variables. We note concerns and offer guidelines for reporting CNN-based predictions in similar datasets.
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Affiliation(s)
- Aaron T. Mayer
- Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA
- Molecular Imaging Program at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
- Enable Medicine LLC, Menlo Park, CA, USA
| | - Derek R. Holman
- Molecular Imaging Program at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Anav Sood
- Department of Biomedical Data Science and of Statistics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Salil S. Bhate
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Graham L. Barlow
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeff Chang
- Enable Medicine LLC, Menlo Park, CA, USA
| | - Sarah Black
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
| | - Erica C. Crenshaw
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexander N. Koron
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Sarah E. Streett
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Sanjiv S. Gambhir
- Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA
- Molecular Imaging Program at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - William J. Sandborn
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Brigid S. Boland
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Trevor Hastie
- Department of Biomedical Data Science and of Statistics, Stanford University School of Medicine, Stanford, CA, USA
| | - Robert Tibshirani
- Department of Biomedical Data Science and of Statistics, Stanford University School of Medicine, Stanford, CA, USA
| | - John T. Chang
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Garry P. Nolan
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Christian M. Schürch
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany
| | - Stephan Rogalla
- Molecular Imaging Program at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
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12
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Wrobel J, Harris C, Vandekar S. Statistical Analysis of Multiplex Immunofluorescence and Immunohistochemistry Imaging Data. Methods Mol Biol 2023; 2629:141-168. [PMID: 36929077 DOI: 10.1007/978-1-0716-2986-4_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Advances in multiplexed single-cell immunofluorescence (mIF) and multiplex immunohistochemistry (mIHC) imaging technologies have enabled the analysis of cell-to-cell spatial relationships that promise to revolutionize our understanding of tissue-based diseases and autoimmune disorders. Multiplex images are collected as multichannel TIFF files; then denoised, segmented to identify cells and nuclei, normalized across slides with protein markers to correct for batch effects, and phenotyped; and then tissue composition and spatial context at the cellular level are analyzed. This chapter discusses methods and software infrastructure for image processing and statistical analysis of mIF/mIHC data.
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Affiliation(s)
- Julia Wrobel
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Coleman Harris
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Simon Vandekar
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
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13
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Li D, Liu L, Du X, Ma W, Zhang J, Piao W. MiRNA-374b-5p and miRNA-106a-5p are related to inflammatory bowel disease via regulating IL-10 and STAT3 signaling pathways. BMC Gastroenterol 2022; 22:492. [DOI: 10.1186/s12876-022-02533-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 10/07/2022] [Indexed: 11/29/2022] Open
Abstract
Abstract
Background
Inflammatory bowel disease (IBD), including Crohn’s disease and ulcerative colitis, is one of the most frequent gastrointestinal disorders worldwide. Although the actual etiology of IBD remains unclear, growing evidence suggests that CD4+ T cells-associated cytokines, including interferon (IFN)-γ, interleukin (IL)-10 and IL-17A, are crucial for the occurrence of IBD. It has been reported that there is a positive association between miRNAs and IBD development. In this study, we investigated the roles of hsa-miRNA-374b-5p(miRNA-374b-5p) and hsa-miRNA-106a-5p(miRNA-106a-5p) in regulating IBD development.
Methods
Serum was obtained from vein blood of IBD patients and healthy controls, qRT-PCR was performed to study the expression of miRNA-374b-5p and miRNA-106a-5p. Furthermore, we investigate the effects of overexpression or inhibition of miRNA-374b-5p on naïve CD4 + T cell subsets differentiation from vein blood of healthy controls by RT-qPCR, flow cytometry and western blot. And more the prediction and confirmation of the targeting genes of miRNA-374b-5p and miRNA-106a-5p were performed by bioinformatics softwares and dual-luciferase reporter assay.
Results
The results showed that miRNA-106a-5p and miRNA-374b-5p were significantly overexpressed in IBD patients. MiRNA-374b-5p could enhance Th1/Th17 cell differentiation and was related to IBD pathogenesis. MiRNA-374b-5p overexpression induced the mRNA expression of IL-17A and IFN-γ, and suppressed that of IL-10 in T cells. MiRNA-374b-5p inhibition decreased the mRNA expression of IL-17A and IFN-γ, while upregulated that of IL-10 in T cells. These qPCR data were further verified at protein level by western blotting and flow cytometry. In addition, dual-luciferase reporter (DLR) assay indicated that miRNA-374b-5p was directly targeted by IL-10, a key anti-inflammatory cytokine for preventing the occurrence of IBD. Meanwhile, STAT3 was identified as a target gene of miRNA-106a-5p by DLR assays. Further analysis revealed that miRNA-374b-5p regulated JAK1 and STAT3 pathways in CD4+ T cells via IL-10/STAT3 axis. MiRNA-374b-5p overexpression remarkably decreased the mRNA expression and phosphorylated (ser-727) protein levels of STAT3, while miRNA-374b-5p inhibition had the opposite effects.
Conclusion
MiRNA-374b-5p and miRNA-106a-5p may contribute to IBD development by regulating IL-10/STAT3 signal transduction.
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14
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Pu D, Liu L, Wang N, Wang D, Zhang Z, Feng B. Case report: Single-cell mapping of peripheral blood mononuclear cells from a patient with both Crohn’s disease and isolated congenital asplenia. Front Immunol 2022; 13:959281. [PMID: 36091029 PMCID: PMC9459022 DOI: 10.3389/fimmu.2022.959281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 08/03/2022] [Indexed: 11/18/2022] Open
Abstract
Crohn’s disease (CD), as one of the principal form of inflammatory bowel disease (IBD), is characterized by the chronic and recurring inflammatory conditions in the intestine resulting from the over-activation of intestinal immunity. Hyposplenism is strongly associated with CD, while the effect of human spleen on the differentiation and development of immune cell subsets in CD patients remains unclear. Isolated congenital asplenia (ICA) is an extremely rare condition characterized by the absence of a spleen at birth without any other developmental defects. Here, we describe the first case of a patient with both ICA and CD, and follow the progression of CD from remission to active stage. Using cytometry by time of flight (CyTOF) analysis, we draw the first single-cell mapping of peripheral blood mononuclear cells (PBMC) from this unique patient, tracing back to the innate or adaptive immune cell subsets and cell surface markers affected by the spleen. Based on our analysis, it is speculated that the spleen contributes to maintaining immune homeostasis, alleviating intestinal inflammation and improving prognosis by influencing the differentiation and development of peripheral immune cell subsets and the expression of cell surface markers in patients with CD.
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Affiliation(s)
- Dan Pu
- Department of Gastroenterology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lu Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Na Wang
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Dandan Wang
- Department of Gastroenterology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhe Zhang
- Department of Gastroenterology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zhe Zhang, ; Baisui Feng,
| | - Baisui Feng
- Department of Gastroenterology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zhe Zhang, ; Baisui Feng,
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15
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Franzke B, Bileck A, Unterberger S, Aschauer R, Zöhrer PA, Draxler A, Strasser EM, Wessner B, Gerner C, Wagner KH. The plasma proteome is favorably modified by a high protein diet but not by additional resistance training in older adults: A 17-week randomized controlled trial. Front Nutr 2022; 9:925450. [PMID: 35990326 PMCID: PMC9389340 DOI: 10.3389/fnut.2022.925450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/08/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe age-related loss of muscle mass significantly contributes to the development of chronic diseases, loss of mobility and dependency on others, yet could be improved by an optimized lifestyle.ObjectiveThe goal of this randomized controlled trial was to compare the influence of a habitual diet (CON) with either a diet containing the recommended protein intake (RP) or a high protein intake (HP), both with and without strength training, on the plasma proteome in older adults.MethodsOne hundred and thirty-six women and men (65–85 years) were randomly assigned to three intervention groups. CON continued their habitual diet; participants of the HP and RP group consumed either high protein or standard foods. After 6 weeks of dietary intervention, HP and RP groups additionally started a strength training intervention twice per week for 8 weeks. Twenty-four hours dietary recalls were performed every 7–10 days. Body composition was assessed and blood taken. Plasma proteomics were assessed with LC-MS.ResultsParticipants of the HP group doubled their baseline protein intake from 0.80 ± 0.31 to 1.63 ± 0.36 g/kg BW/d; RP increased protein intake from 0.89 ± 0.28 to 1.06 ± 0.26 g/kg BW/d. The CON group kept the protein intake stable throughout the study. Combined exercise and HP initiated notable changes, resulting in a reduction in bodyfat and increased muscle mass. Proteomics analyses revealed 14 significantly affected proteins by HP diet, regulating innate immune system, lipid transport and blood coagulation, yet the additional strength training did not elicit further changes.ConclusionsCombined HP and resistance exercise in healthy older adults seem to induce favorable changes in the body composition. Changes in the plasma proteome due to the high protein diet point to a beneficial impact for the innate immune system, lipid transport and blood coagulation system, all of which are involved in chronic disease development.Clinical trial registrationThe study was registered at ClinicalTrials.gov (NCT04023513).
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Affiliation(s)
- Bernhard Franzke
- Research Platform Active Ageing, University of Vienna, Vienna, Austria
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria
- *Correspondence: Bernhard Franzke
| | - Andrea Bileck
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Joint Metabolome Facility, University of Vienna and Medical University of Vienna, Vienna, Austria
| | - Sandra Unterberger
- Research Platform Active Ageing, University of Vienna, Vienna, Austria
- Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria
| | - Rudolf Aschauer
- Research Platform Active Ageing, University of Vienna, Vienna, Austria
- Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria
| | - Patrick A. Zöhrer
- Research Platform Active Ageing, University of Vienna, Vienna, Austria
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria
| | - Agnes Draxler
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria
| | - Eva-Maria Strasser
- Karl Landsteiner Institute for Remobilization and Functional Health/Institute for Physical Medicine and Rehabilitation, Kaiser Franz Joseph Hospital, Social Medical Center South, Vienna, Austria
| | - Barbara Wessner
- Research Platform Active Ageing, University of Vienna, Vienna, Austria
- Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria
| | - Christopher Gerner
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria
- Joint Metabolome Facility, University of Vienna and Medical University of Vienna, Vienna, Austria
| | - Karl-Heinz Wagner
- Research Platform Active Ageing, University of Vienna, Vienna, Austria
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria
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Fiocchi C, Iliopoulos D. Inflammatory Bowel Disease Therapy: Beyond the Immunome. Front Immunol 2022; 13:864762. [PMID: 35615360 PMCID: PMC9124778 DOI: 10.3389/fimmu.2022.864762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 04/11/2022] [Indexed: 12/19/2022] Open
Affiliation(s)
- Claudio Fiocchi
- Department of Inflammation & Immunity, Lerner Research Institute Cleveland, Cleveland, OH, United States
- Department of Gastroenterology, Hepatology & Nutrition, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH, United States
- *Correspondence: Claudio Fiocchi,
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17
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CED: Immunzellen mittels IMC charakterisiert und quantifiziert. ZEITSCHRIFT FUR GASTROENTEROLOGIE 2022. [DOI: 10.1055/a-1711-9398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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18
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Fasolino M, Schwartz GW, Patil AR, Mongia A, Golson ML, Wang YJ, Morgan A, Liu C, Schug J, Liu J, Wu M, Traum D, Kondo A, May CL, Goldman N, Wang W, Feldman M, Moore JH, Japp AS, Betts MR, Faryabi RB, Naji A, Kaestner KH, Vahedi G. Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes. Nat Metab 2022; 4:284-299. [PMID: 35228745 PMCID: PMC8938904 DOI: 10.1038/s42255-022-00531-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 01/14/2022] [Indexed: 12/13/2022]
Abstract
Type 1 diabetes (T1D) is an autoimmune disease in which immune cells destroy insulin-producing beta cells. The aetiology of this complex disease is dependent on the interplay of multiple heterogeneous cell types in the pancreatic environment. Here, we provide a single-cell atlas of pancreatic islets of 24 T1D, autoantibody-positive and nondiabetic organ donors across multiple quantitative modalities including ~80,000 cells using single-cell transcriptomics, ~7,000,000 cells using cytometry by time of flight and ~1,000,000 cells using in situ imaging mass cytometry. We develop an advanced integrative analytical strategy to assess pancreatic islets and identify canonical cell types. We show that a subset of exocrine ductal cells acquires a signature of tolerogenic dendritic cells in an apparent attempt at immune suppression in T1D donors. Our multimodal analyses delineate cell types and processes that may contribute to T1D immunopathogenesis and provide an integrative procedure for exploration and discovery of human pancreatic function.
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Affiliation(s)
- Maria Fasolino
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Gregory W Schwartz
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Abhijeet R Patil
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Aanchal Mongia
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Maria L Golson
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Yue J Wang
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ashleigh Morgan
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Chengyang Liu
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jonathan Schug
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jinping Liu
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Minghui Wu
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Daniel Traum
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ayano Kondo
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Catherine L May
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Naomi Goldman
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Wenliang Wang
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Michael Feldman
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jason H Moore
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Alberto S Japp
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Michael R Betts
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Microbiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Robert B Faryabi
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Ali Naji
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Klaus H Kaestner
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Golnaz Vahedi
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Institute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
- Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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