Evidence map›Paper›PMID 41450476›Full record

ReviewChemical & biomedical imaging2025

Stimulated Raman Scattering Imaging Enabled Biomarker Discovery for Precision Medicine.

Yuhui Li, Jianlin Liu, Shuhua Yue

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Yuhui LiKey Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology, National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Jianlin LiuKey Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology, National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Shuhua YueKey Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology, National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.ORCID https://orcid.org/0000-0003-1830-008X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular biomarkers play an essential role in accurate disease diagnosis and personalized treatment. Dysregulated metabolism is closely associated with disease development and progression. The discovery of metabolic biomarkers could remarkably promote precision diagnosis and personalized treatment. Current metabolomics approaches can profile a large number of metabolites but are primarily destructive and lack sufficient spatial resolution, which hinders quantitative measurements of the highly dynamic and heterogeneous intracellular metabolic processes. This further limits the discovery of metabolic biomarkers in these diseases. Stimulated Raman scattering (SRS) microscopy addresses these gaps by enabling label-free imaging with high sensitivity, molecular specificity, and subcellular resolution. Integrating Raman-active vibrational probes further extends this approach, allowing for real-time tracking of low-abundance biomolecules and metabolic processes. These capabilities have enabled the discovery of biomarkers for disease diagnosis. In this review, we focus on recent advancements in SRS imaging technologies and data analysis methods and their applications in biomarker discovery and precision medicine. Furthermore, future perspectives and emerging trends in this rapidly evolving research area are discussed.

Indexed as

biomarkershuman diseasesmetabolismprecision medicinestimulated Raman scattering microscopy

Identifiers

PMID41450476
PMCPMC12728760

What OpenQuestion 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 OpenQuestion graph.