A narrative review of spatial multi-omics and organ-on-a-chip technologies for cardio-cerebral-renal crosstalk

Background Inter-organ communication within the cardio-cerebral-renal axis orchestrates systemic homeostasis and disease progression. However, conventional methods fail to capture its spatiotemporal complexity; consequently, this creates evidence gaps in dynamic network dissection. Therefore, spatial multi-omics and organ-on-a-chip (OOC) technologies enable unprecedented investigation of these pathways. Objective We aimed to evaluate the efficacy and safety of spatial multi-omics and organ-on-a-chip (OOC) technologies (intervention) compared to conventional methods (comparator) in decoding cardio-cerebral-renal crosstalk for systemic disorders (population) on outcomes including sensitivity, resolution, and detection accuracy (outcomes). Methods We searched PubMed, Cochrane Library, Embase, Web of Science, and ClinicalTrials.gov from January 2021 to December 2024. Two reviewers independently screened studies for inclusion. We included 34 studies comprising randomized trials, cohort studies, and preclinical validations. We employed narrative synthesis and random-effects meta-analysis where appropriate. Results Based on 34 studies involving a substantial number of participants and samples, spatial multi-omics and OOC technologies demonstrated improved sensitivity and better identification of pathogenic networks compared to conventional methods. The findings suggest a consistent trend toward enhanced performance, though heterogeneity across studies was noted. Conclusion Building on these findings, we conclude that these technologies establish a novel paradigm for decoding multi-organ communication, revealing molecular mechanisms (e.g., exosomal miRNA regulation) and providing clinically actionable biomarkers. However, evidence certainty is moderate due to heterogeneity, thus supporting future precision medicine applications.

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Publication Details

Journal
Frontiers in Bioengineering and Biotechnology
Published
2026-03-16
DOI
https://doi.org/10.3389/fbioe.2026.1749227
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

A narrative review of spatial multi-omics and organ-on-a-chip technologies for cardio-cerebral-renal crosstalk

Shanshan Yang, Ke Cheng, Yuxin Wang, Na Gong et al.
Frontiers in Bioengineering and Biotechnology
Single-cell and spatial transcriptomics
article

A narrative review of spatial multi-omics and organ-on-a-chip technologies for cardio-cerebral-renal crosstalk

Shanshan Yang, Ke Cheng, Yuxin Wang, Na Gong, Xinyue Wang, Shihong Xiong, Wanyi Liang, Yonghui Liang
article en

Abstract

Background Inter-organ communication within the cardio-cerebral-renal axis orchestrates systemic homeostasis and disease progression. However, conventional methods fail to capture its spatiotemporal complexity; consequently, this creates evidence gaps in dynamic network dissection. Therefore, spatial multi-omics and organ-on-a-chip (OOC) technologies enable unprecedented investigation of these pathways. Objective We aimed to evaluate the efficacy and safety of spatial multi-omics and organ-on-a-chip (OOC) technologies (intervention) compared to conventional methods (comparator) in decoding cardio-cerebral-renal crosstalk for systemic disorders (population) on outcomes including sensitivity, resolution, and detection accuracy (outcomes). Methods We searched PubMed, Cochrane Library, Embase, Web of Science, and ClinicalTrials.gov from January 2021 to December 2024. Two reviewers independently screened studies for inclusion. We included 34 studies comprising randomized trials, cohort studies, and preclinical validations. We employed narrative synthesis and random-effects meta-analysis where appropriate. Results Based on 34 studies involving a substantial number of participants and samples, spatial multi-omics and OOC technologies demonstrated improved sensitivity and better identification of pathogenic networks compared to conventional methods. The findings suggest a consistent trend toward enhanced performance, though heterogeneity across studies was noted. Conclusion Building on these findings, we conclude that these technologies establish a novel paradigm for decoding multi-organ communication, revealing molecular mechanisms (e.g., exosomal miRNA regulation) and providing clinically actionable biomarkers. However, evidence certainty is moderate due to heterogeneity, thus supporting future precision medicine applications.

Frontiers in Bioengineering and BiotechnologyVol. 14
Hubei University of Chinese Medicine (CN), Integrated Chinese Medicine (China) (HK), Wuhan University of Science and Technology (CN)
Openalex Percentile: Top 20%
Single-cell and spatial transcriptomics
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