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Spatial multi-omic map of human myocardial infarction

Author

Listed:
  • Christoph Kuppe

    (RWTH Aachen University, Medical Faculty
    RWTH Aachen University, Medical Faculty)

  • Ricardo O. Ramirez Flores

    (Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant
    Informatics for Life)

  • Zhijian Li

    (RWTH Aachen University, Medical Faculty
    RWTH Aachen University Hospital)

  • Sikander Hayat

    (RWTH Aachen University, Medical Faculty)

  • Rebecca T. Levinson

    (Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant
    Informatics for Life
    Heidelberg University Hospital)

  • Xian Liao

    (RWTH Aachen University, Medical Faculty)

  • Monica T. Hannani

    (RWTH Aachen University, Medical Faculty
    Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant)

  • Jovan Tanevski

    (Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant
    Jožef Stefan Institute)

  • Florian Wünnemann

    (Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant)

  • James S. Nagai

    (RWTH Aachen University, Medical Faculty
    RWTH Aachen University Hospital)

  • Maurice Halder

    (RWTH Aachen University, Medical Faculty)

  • David Schumacher

    (RWTH Aachen University, Medical Faculty)

  • Sylvia Menzel

    (RWTH Aachen University, Medical Faculty)

  • Gideon Schäfer

    (RWTH Aachen University, Medical Faculty)

  • Konrad Hoeft

    (RWTH Aachen University, Medical Faculty)

  • Mingbo Cheng

    (RWTH Aachen University, Medical Faculty
    RWTH Aachen University Hospital)

  • Susanne Ziegler

    (RWTH Aachen University, Medical Faculty)

  • Xiaoting Zhang

    (RWTH Aachen University, Medical Faculty)

  • Fabian Peisker

    (RWTH Aachen University, Medical Faculty)

  • Nadine Kaesler

    (RWTH Aachen University, Medical Faculty
    RWTH Aachen University, Medical Faculty)

  • Turgay Saritas

    (RWTH Aachen University, Medical Faculty
    RWTH Aachen University, Medical Faculty)

  • Yaoxian Xu

    (RWTH Aachen University, Medical Faculty)

  • Astrid Kassner

    (Heart and Diabetes Center NRW)

  • Jan Gummert

    (North Rhine-Westphalia)

  • Michiel Morshuis

    (North Rhine-Westphalia)

  • Junedh Amrute

    (Washington University School of Medicine)

  • Rogier J. A. Veltrop

    (RWTH Aachen University, Medical Faculty
    Maastricht University)

  • Peter Boor

    (RWTH Aachen University, Medical Faculty
    RWTH Aachen University)

  • Karin Klingel

    (University Hospital Tübingen)

  • Linda W. Laake

    (University Medical Center Utrecht)

  • Aryan Vink

    (University Medical Center Utrecht, Utrecht University)

  • Remco M. Hoogenboezem

    (Erasmus MC Cancer Institute)

  • Eric M. J. Bindels

    (Erasmus MC Cancer Institute)

  • Leon Schurgers

    (RWTH Aachen University, Medical Faculty
    Maastricht University)

  • Susanne Sattler

    (Imperial College London)

  • Denis Schapiro

    (Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant
    Heidelberg University Hospital)

  • Rebekka K. Schneider

    (RWTH Aachen University, Medical Faculty
    Erasmus Medical Center)

  • Kory Lavine

    (Washington University School of Medicine)

  • Hendrik Milting

    (Heart and Diabetes Center NRW)

  • Ivan G. Costa

    (RWTH Aachen University, Medical Faculty
    RWTH Aachen University Hospital)

  • Julio Saez-Rodriguez

    (Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant
    Informatics for Life)

  • Rafael Kramann

    (RWTH Aachen University, Medical Faculty
    RWTH Aachen University, Medical Faculty
    Erasmus Medical Center)

Abstract

Myocardial infarction is a leading cause of death worldwide1. Although advances have been made in acute treatment, an incomplete understanding of remodelling processes has limited the effectiveness of therapies to reduce late-stage mortality2. Here we generate an integrative high-resolution map of human cardiac remodelling after myocardial infarction using single-cell gene expression, chromatin accessibility and spatial transcriptomic profiling of multiple physiological zones at distinct time points in myocardium from patients with myocardial infarction and controls. Multi-modal data integration enabled us to evaluate cardiac cell-type compositions at increased resolution, yielding insights into changes of the cardiac transcriptome and epigenome through the identification of distinct tissue structures of injury, repair and remodelling. We identified and validated disease-specific cardiac cell states of major cell types and analysed them in their spatial context, evaluating their dependency on other cell types. Our data elucidate the molecular principles of human myocardial tissue organization, recapitulating a gradual cardiomyocyte and myeloid continuum following ischaemic injury. In sum, our study provides an integrative molecular map of human myocardial infarction, represents an essential reference for the field and paves the way for advanced mechanistic and therapeutic studies of cardiac disease.

Suggested Citation

  • Christoph Kuppe & Ricardo O. Ramirez Flores & Zhijian Li & Sikander Hayat & Rebecca T. Levinson & Xian Liao & Monica T. Hannani & Jovan Tanevski & Florian Wünnemann & James S. Nagai & Maurice Halder &, 2022. "Spatial multi-omic map of human myocardial infarction," Nature, Nature, vol. 608(7924), pages 766-777, August.
  • Handle: RePEc:nat:nature:v:608:y:2022:i:7924:d:10.1038_s41586-022-05060-x
    DOI: 10.1038/s41586-022-05060-x
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    Citations

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    Cited by:

    1. Camille Cohen & Rana Mhaidly & Hugo Croizer & Yann Kieffer & Renaud Leclere & Anne Vincent-Salomon & Catherine Robley & Dany Anglicheau & Marion Rabant & Aurélie Sannier & Marc-Olivier Timsit & Sean E, 2024. "WNT-dependent interaction between inflammatory fibroblasts and FOLR2+ macrophages promotes fibrosis in chronic kidney disease," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    2. Yunfan Li & Dan Zhang & Mouxing Yang & Dezhong Peng & Jun Yu & Yu Liu & Jiancheng Lv & Lu Chen & Xi Peng, 2023. "scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. Chen-Rui Xia & Zhi-Jie Cao & Xin-Ming Tu & Ge Gao, 2023. "Spatial-linked alignment tool (SLAT) for aligning heterogenous slices," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Pablo Jané & Xiaoying Xu & Vincent Taelman & Eduardo Jané & Karim Gariani & Rebecca A. Dumont & Yonathan Garama & Francisco Kim & María Val Gomez & Martin A. Walter, 2023. "The Imageable Genome," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    5. Malmquist, Louise & Barron, Jennie, 2023. "Improving spatial resolution in soil and drainage data to combine natural and anthropogenic water functions at catchment scale in agricultural landscapes," Agricultural Water Management, Elsevier, vol. 283(C).
    6. Hao Xu & Shuyan Wang & Minghao Fang & Songwen Luo & Chunpeng Chen & Siyuan Wan & Rirui Wang & Meifang Tang & Tian Xue & Bin Li & Jun Lin & Kun Qu, 2023. "SPACEL: deep learning-based characterization of spatial transcriptome architectures," Nature Communications, Nature, vol. 14(1), pages 1-18, December.

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