Evidence map›Paper›PMID 41332940›Full record

ReviewMaterials today. Bio2025

Materiobiology in the omics era.

Peiran Song, Yuezhou Wu, Chen Zhang, Fengjin Zhou, Long Bai, Jiacan Su

Abstract readReview
In one paragraph

Review in Materials today. Bio, 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. Review
  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

6 authors.

Peiran SongMedEng-X Institutes, Shanghai University, Shanghai, 200444, China.
Yuezhou WuDepartment of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
Chen ZhangMedEng-X Institutes, Shanghai University, Shanghai, 200444, China.
Fengjin ZhouDepartment of Orthopedics, Honghui Hospital, Xi'an Jiao Tong University, Xi'an, 710000, China.
Long BaiMedEng-X Institutes, Shanghai University, Shanghai, 200444, China.
Jiacan SuMedEng-X Institutes, Shanghai University, Shanghai, 200444, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Omics technologies can uncover the complex regulatory mechanisms of living systems at multiple levels, including genes, transcripts, proteins, metabolites and immune networks. They also provide an integrative framework to study how cells interact with their environment. In materiobiology, cellular responses to materials involve diverse processes. This review summarizes the applications of single-cell transcriptomics, transcriptomics, RNomics, genomics, proteomics, metabolomics, lipidomics, glycomics and immunomics in materiobiology. We highlight how these approaches reveal cell heterogeneity, transcriptional and epigenetic regulation, genetic determinants, protein and metabolic pathways, lipid and glycan remodeling and immune networks in the context of biomaterial interactions. In addition, we discuss how multi-omics strategies support the construction of bone organoids, which serve as physiologically relevant models to investigate bone development, disease mechanisms and material-driven repair. Together, these advances provide a theoretical foundation and methodology for the rational design of next-generation biomaterials with improved functionality and precision in regenerative medicine. This review outlines how multi-omics technologies drive materiobiology, bridging molecular insights with material innovation for precision and regenerative medicine.

Indexed as

Biomaterial interactionsBone organoidsMateriobiologyOmics technologiesRegenerative medicine

Identifiers

PMID41332940
PMCPMC12666584

What OpenQuestion 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 OpenQuestion graph.