Evidence map›Paper›PMID 41393100›Full record

ReviewFrontiers in aging2025

Single-cell multi-omics for precision cardiovascular and longevity medicine: from methods to clinical translation.

Thiago Guimarães Osório, Estefania Pavesi, Khalil Abou El-Ardat, Needa Qureshi, Leanne Cassidy, Terrence Lee St John, Nicole Sirotin, Bartlomiej Piechowski-Jozwiak

Abstract readReview
In one paragraph

Review in Frontiers in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Thiago Guimarães OsórioInstitute for Healthier Living Abu Dhabi LLC, Abu Dhabi, United Arab Emirates.
Estefania PavesiSingleron Biotechnologies GmbH, Cologne, Germany.
Khalil Abou El-ArdatSingleron Biotechnologies GmbH, Cologne, Germany.
Needa QureshiInstitute for Healthier Living Abu Dhabi LLC, Abu Dhabi, United Arab Emirates.
Leanne CassidyInstitute for Healthier Living Abu Dhabi LLC, Abu Dhabi, United Arab Emirates.
Terrence Lee St JohnInstitute for Healthier Living Abu Dhabi LLC, Abu Dhabi, United Arab Emirates.
Nicole SirotinInstitute for Healthier Living Abu Dhabi LLC, Abu Dhabi, United Arab Emirates.
Bartlomiej Piechowski-JozwiakInstitute for Healthier Living Abu Dhabi LLC, Abu Dhabi, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Single-cell multi-omics (SCMO) technologies simultaneously profile multiple molecular layers (e.g., DNA, RNA, proteins) within individual cells. Unlike traditional bulk analyses that average signals across thousands of cells, SCMO captures the unique molecular characteristics of each cell, potentially transforming our understanding of disease pathogenesis and clinical management. Despite its promise, SCMO methodologies remain complex and difficult for clinicians to interpret and utilize effectively. Methods: We conducted a narrative review specifically tailored to clinicians, summarizing key SCMO methodologies, recent discoveries, and their translational relevance for cardiovascular and aging-related diseases. Our goal was to simplify complex SCMO concepts, highlight practical clinical insights, clarify methodological details in accessible terms, and openly discuss barriers currently preventing routine clinical implementation. Results: SCMO techniques have identified clinically relevant cellular heterogeneity within diseases such as atherosclerosis and heart failure, uncovering subpopulations linked to disease severity and potential therapeutic targets. Notably, SCMO studies revealed specific inflammatory immune subsets in unstable plaques, pathogenic fibroblast populations driving cardiac fibrosis, and distinct immune profiles associated with aging and longevity. Early clinical trials integrating SCMO demonstrate feasibility in oncology and cardiology, and prototype clinical assays (e.g., single-cell "liquid biopsies") are emerging. These advances are yielding predictive biomarkers and guiding personalized and preventive applications. Conclusion: SCMO is rapidly evolving, offering unprecedented precision in diagnostics and personalized therapeutics by pinpointing disease-driving cells and molecular pathways. However, significant hurdles including high costs, technical complexity, and analytical challenges currently limit immediate clinical application. To the best of our knowledge, as of 2025, FDA authorization for single-cell diagnostics is limited to established technologies like flow cytometry, while next-generation multi-omic platforms remain confined to research use. This manuscript is explicitly designed to help clinicians navigate the complexity of SCMO, providing clear, digestible explanations of its methodologies and emphasizing how these tools might practically benefit patient care. Clinicians should remain cautiously optimistic, viewing SCMO as a complementary, specialized tool. Continued technological and methodological advances suggest SCMO will become increasingly integral to precision medicine.

Indexed as

cardiovascular aginggeroscienceimmune aginglongevityprecision medicine & genomicssingle-cell multi-omics

Identifiers

PMID41393100
PMCPMC12696164

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.