Multi-Omics Integration in Nephrology: Advances, Challenges, and Future Directions DOI Creative Commons

Afaf Saliba,

Yuheng Du,

Tianqing Feng

et al.

Seminars in Nephrology, Journal Year: 2025, Volume and Issue: unknown, P. 151584 - 151584

Published: April 1, 2025

Omics technologies have transformed nephrology, providing deep insights into molecular mechanisms of kidney disease and enabling more precise diagnostic tools, therapeutic strategies, prognostic markers. Multi-omics data integration, spanning bulk, single-cell, spatial omics, offers a comprehensive view biology in health disease. In this review, we explore methods challenges for integrating transcriptomic, epigenomic, data. By combining omics layers, researchers can uncover novel interactions tissue organization, advancing our understanding diseases like diabetic autosomal polycystic This integrated approach is reshaping strategies nephrology critical optimizing available from multi-omics analysis. Semin Nephrol 36:x-xx © 20xx Elsevier Inc. All rights reserved.

Language: Английский

Organoids are not organs: Sources of variation and misinformation in organoid biology DOI Creative Commons
Kim B. Jensen, Melissa H. Little

Stem Cell Reports, Journal Year: 2023, Volume and Issue: 18(6), P. 1255 - 1270

Published: June 1, 2023

In the past decade, term organoid has moved from obscurity to common use describe a 3D in vitro cellular model of tissue that recapitulates structural and functional elements vivo organ it models. The is now applied structures formed as result two distinct processes: capacity for adult epithelial stem cells re-create niche ability direct differentiation pluripotent self-organizing multicellular organogenesis. While these fields rely upon different cell types recapitulate processes, both share challenges around robustness, accuracy, reproducibility. Critically, organoids are not organs. This commentary serves discuss challenges, how they impact genuine utility, shine light on need improve standards all approaches.

Language: Английский

Citations

47

Transcriptomic, epigenomic, and spatial metabolomic cell profiling redefines regional human kidney anatomy DOI Creative Commons
Haikuo Li, Dian Li, Nicolas Ledru

et al.

Cell Metabolism, Journal Year: 2024, Volume and Issue: 36(5), P. 1105 - 1125.e10

Published: March 20, 2024

A large-scale multimodal atlas that includes major kidney regions is lacking. Here, we employed simultaneous high-throughput single-cell ATAC/RNA sequencing (SHARE-seq) and spatially resolved metabolomics to profile 54 human samples from distinct anatomical regions. We generated transcriptomes of 446,267 cells chromatin accessibility profiles 401,875 developed a package analyze 408,218 metabolomes. find the same cell type, including thin limb, thick ascending limb loop Henle principal cells, display transcriptomic, accessibility, metabolomic signatures, depending on anatomic location. Surveying metabolism-associated gene revealed non-overlapping metabolic signatures between nephron segments dysregulated lipid metabolism in diseased proximal tubule (PT) cells. Integrating omics with clinical data identified PLEKHA1 as disease marker, its vitro knockdown increased expression PT differentiation, suggesting possible pathogenic roles. This study highlights previously underrepresented cellular heterogeneity underlying anatomy.

Language: Английский

Citations

33

High spatial resolution mass spectrometry imaging for spatial metabolomics: Advances, challenges, and future perspectives DOI
Siyuan Ma,

Yixin Leng,

Xiaoping Li

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2022, Volume and Issue: 159, P. 116902 - 116902

Published: Dec. 26, 2022

Language: Английский

Citations

56

Spatial metabolomics principles and application to cancer research DOI Open Access
Mélanie Planque, Sebastian Igelmann, Ana Margarida Ferreira Campos

et al.

Current Opinion in Chemical Biology, Journal Year: 2023, Volume and Issue: 76, P. 102362 - 102362

Published: July 4, 2023

Language: Английский

Citations

38

Immunology of Kidney Disease DOI
Orestes Foresto‐Neto, Luísa Menezes-Silva, Jefferson Antônio Leite

et al.

Annual Review of Immunology, Journal Year: 2024, Volume and Issue: 42(1), P. 207 - 233

Published: Jan. 12, 2024

The immune system and the kidneys are closely related. Immune components mediate acute kidney disease crucial to progression of chronic disease. Beyond its pathogenic functions, supports immunological homeostasis in healthy kidneys. help maintain equilibrium by removing metabolic waste products toxins, thereby limiting local systemic inflammation. In this review, we describe close relationship between We discuss how imbalance response can be deleterious immunomodulation important preventing end-stage renal addition, recent tools such as silico platforms organoids unveil cells homeostasis.

Language: Английский

Citations

10

Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling DOI Creative Commons
Joana B. Nunes, Marieke E. Ijsselsteijn, Tamim Abdelaal

et al.

Nature Methods, Journal Year: 2024, Volume and Issue: 21(10), P. 1796 - 1800

Published: Aug. 29, 2024

The integration of spatial omics technologies can provide important insights into the biology tissues. Here we combined mass spectrometry imaging-based metabolomics and imaging cytometry-based immunophenotyping on a single tissue section to reveal metabolic heterogeneity at single-cell resolution within tissues its association with specific cell populations such as cancer cells or immune cells. This approach has potential greatly increase our understanding tissue-level interplay between processes their cellular components. authors present workflow integrating cytometry deconvolute level.

Language: Английский

Citations

10

A cell-free nutrient-supplemented perfusate allows four-day ex vivo metabolic preservation of human kidneys DOI Creative Commons
Marlon J.A. de Haan, Marleen E Jacobs, Franca M.R. Witjas

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: May 13, 2024

Abstract The growing disparity between the demand for transplants and available donor supply, coupled with an aging population increasing prevalence of chronic diseases, highlights urgent need development platforms enabling reconditioning, repair, regeneration deceased organs. This necessitates ability to preserve metabolically active kidneys ex vivo days. However, current kidney normothermic machine perfusion (NMP) approaches allow metabolic preservation only hours. Here we show that human discarded transplantation can be preserved in a state up 4 days when perfused cell-free perfusate supplemented TCA cycle intermediates at subnormothermia (25 °C). Using spatially resolved isotope tracing demonstrate fluxes microenvironment Day perfusion. Beyond 4, significant changes were observed renal cell populations through spatial lipidomics, increases injury markers such as LDH, NGAL oxidized lipids. Finally, maintain functional parameters 4. Collectively, these findings provide evidence this approach enables over multiple days, establishing solid foundation future clinical investigations.

Language: Английский

Citations

9

Integrated multi-omics with machine learning to uncover the intricacies of kidney disease DOI Creative Commons
Xinze Liu,

Jingxuan Shi,

Yuanyuan Jiao

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 25(5)

Published: July 25, 2024

The development of omics technologies has driven a profound expansion in the scale biological data and increased complexity internal dimensions, prompting utilization machine learning (ML) as powerful toolkit for extracting knowledge understanding underlying patterns. Kidney disease represents one major growing global health threats with intricate pathogenic mechanisms lack precise molecular pathology-based therapeutic modalities. Accordingly, there is need advanced high-throughput approaches to capture implicit features complement current experiments statistics. This review aims delineate strategies integrating multi-omics appropriate ML methods, highlighting key clinical translational scenarios, including predicting progression risks improve medical decision-making, comprehensively mechanisms, practical applications image recognition renal digital pathology. Examining benefits challenges integration efforts expected shed light on kidney advance practice.

Language: Английский

Citations

9

Patterning the nephron: Forming an axial polarity with distal and proximal specialization DOI
Nils O. Lindström, Jessica M. Vanslambrouck

Current topics in developmental biology/Current Topics in Developmental Biology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

1

Glucose modulates IRF6 transcription factor dimerization to enable epidermal differentiation DOI Creative Commons
Vanessa Lopez-Pajares, Aparna Bhaduri, Yang Zhao

et al.

Cell stem cell, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

1