Evidence map›Paper›PMID 40822515›Full record

ReviewJournal of orthopaedic translation2025

The role of multi-omics in biomarker discovery, diagnosis, prognosis, and therapeutic monitoring of tissue repair and regeneration processes.

Jiamei Liu, Liyu Yang, Dongze Liu, Qianlong Wu, Yuanqi Yu, Xiaoming Huang, Jianjun Li, Shengye Liu

Abstract readReview
In one paragraph

Review in Journal of orthopaedic translation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  11. Article
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  13. Recent advances in biomarkers for cardiac fibrosis.Frontiers in cardiovascular medicine · 2026
    Review
  14. Review
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  17. From scientific discovery to orthopaedic clinical innovation.Journal of orthopaedic translation · 2025
    Article
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.

Jiamei LiuDepartment of Pathology, Shengjing Hospital, China Medical University, 36 Sanhao Road, Shenyang, 110004, China.
Liyu YangDepartment of Orthopedics, Shengjing Hospital, China Medical University, 36 Sanhao Road, Shenyang, 110004, China.
Dongze LiuDepartment of Orthopedics, Shengjing Hospital, China Medical University, 36 Sanhao Road, Shenyang, 110004, China.
Qianlong WuDepartment of Orthopedics, Shengjing Hospital, China Medical University, 36 Sanhao Road, Shenyang, 110004, China.
Yuanqi YuThe First Hospital of China Medical University, China.
Xiaoming HuangDepartment of Orthopedics, Shengjing Hospital, China Medical University, 36 Sanhao Road, Shenyang, 110004, China.
Jianjun LiDepartment of Orthopedics, Shengjing Hospital, China Medical University, 36 Sanhao Road, Shenyang, 110004, China.
Shengye LiuDepartment of Orthopedics, Shengjing Hospital, China Medical University, 36 Sanhao Road, Shenyang, 110004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last two decades, technological interventions have played a significant role in transforming healthcare with timely diagnosis and novel therapeutic interventions. Advanced technologies such as next-generation sequencing, NMR, mass spectrometry, and non-invasive imaging modalities have made it possible to study biological molecules, cellular processes, and molecular pathways in different diseases. The "omics revolution" is another addition that emerged as a powerful tool in elucidating molecular and cellular processes in diseases. Given the profoundly complex nature of tissue repair, it is important to employ the advanced multi-omics technique to elucidate the cellular, molecular, and inflammatory events in damaged tissues. As proven in various other diseases, these integrative omics can provide a systematic and comprehensive understanding of the biology of tissue repair and regeneration. Proteomics and transcriptomics, in particular, have been widely used for the identification and validation of potential biomarkers such as transforming growth factor-beta (TGF-β), vascular endothelial growth factor (VEGF), interleukin 6 (IL-6), and several matrix metalloproteinases (MMPs) which play a key role in the process of tissue repair and regeneration. Metabolomics, such as NMR and spectroscopies, have also shown potential in tracking energy metabolism and oxidative stress during regeneration. This review article presents a comprehensive overview of the latest multi-omics techniques and technologies that provide valuable insights into the complex processes of tissue repair and highlight the possibilities of early diagnosis, biomarker identification, and novel therapeutic interventions for tissue repair and regeneration. Combining data and key findings from multiple omics layers, such as metabolomics, transcriptomics, and genomics, may provide a comprehensive understanding of the mechanisms and pathways that have been implicated in tissue repair and regeneration. This may lead to the identification and validation of robust biomarkers and the development of therapeutic strategies aimed at improving outcomes in patients with chronic and non-healing wounds. The Translational Potential of this Article: This article reviews the application of multi-omics technologies in tissue repair and regeneration, highlighting how the integration of genomics, transcriptomics, proteomics, and metabolomics reveals molecular mechanisms of wound healing. By combining these diverse omics approaches, the findings provide critical insights into novel biomarkers, therapeutic targets, and personalized treatment strategies. This integration allows for a more comprehensive understanding of tissue regeneration, enhancing diagnostic accuracy and treatment monitoring. Ultimately, multi-omics technologies can drive advances in personalized medicine, improving clinical outcomes and offering new avenues for treating tissue repair and regeneration.

Indexed as

BiomarkersIntegrative omicsMulti-omicsTissue repairWound healing

Identifiers

PMID40822515
PMCPMC12356027

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.