Evidence map›Paper›PMID 41888716›Full record

ArticleBMC ophthalmology2026

RNA sequencing and bioinformatics analysis of blood from patients with cortical cataracts.

Qian Li, Lili Zhu

Abstract read
In one paragraph

Article in BMC ophthalmology, 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

2 authors.

Qian LiDepartment of Ophthalmology, The First People's Hospital of Yuhang District, Hangzhou, China.
Lili ZhuDepartment of Ophthalmology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, China. 1508267@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cortical cataract is the primary type of age-related cataract and can cause severe vision impairment in the early stage. To explore potential blood markers associated with individual physical conditions in cataract patients, we performed RNA sequencing to compare the differentially expressed genes (DEGs) between cortical and refractive cataract patients. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and gene set enrichment analysis (GSEA) were conducted. ELISA was subsequently used to validate differences in the protein expression levels of the selected genes. A total of 311 upregulated and 268 downregulated genes were identified. After bioinformatics analysis, we identified three key DEGs (MPO, CXCL8, and FN1) and determined their possible molecular mechanisms. As determined by ELISA, the expression of these genes increased; among them, MPO was the most significant DEG, and it related to oxidative stress responses through peroxidase activity and the catabolism of hydrogen peroxide. In conclusion, MPO, CXCL8 and FN1 were regarded as potential blood markers in patients. However, owing to the small sample size, the above conclusions are hypothetical.

Indexed as

CataractComputational BiologyPeroxidaseSequence Analysis, RNAAgedBiomarkersEnzyme-Linked Immunosorbent AssayFemaleFibronectinsGene Expression ProfilingHumansInterleukin-8MaleMiddle AgedBiomarkersCXCL8 protein, humanFibronectinsInterleukin-8MPO protein, humanPeroxidaseCortical cataractGSEAMPORNA-seq

Identifiers

PMID41888716
PMCPMC13141249

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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 OpenQuestion graph.