Evidence mapPaperPMID 41918704Full record

ReviewFrontiers in bioengineering and biotechnology2026

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

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

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ke ChengDepartment of Nephrology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
Wanyi LiangMedical Examination Center, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, Hubei, China.
Shihong XiongDepartment of Nephrology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
Yonghui LiangDepartment of Nephrology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
Xinyue WangDepartment of Nephrology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
Shanshan YangDepartment of Nephrology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
Yuxin WangDepartment of Nephrology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
Na GongHubei University of Chinese Medicine, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

cardio-cerebral-renal axisinter-organ communicationmicrofluidic organoidsmulti-tissue microphysiological systemsspatial multi-omics

Identifiers

PMID41918704
PMCPMC13033639

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.