Evidence map›Paper›PMID 35621284›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Precise Detection of Cataracts with Specific High-Risk Factors by Layered Binary Co-Ionizers Assisted Aqueous Humor Metabolic Analysis.

Chenjie Yang, Aizhu Miao, Chaochao Yang, Chuwen Huang, Haolin Chen, Yongxiang Jiang, Chunhui Deng, Nianrong Sun

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

13 citing papers in PubMed, 27 citations in OpenAlex.

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  8. Automated Diagnosis and Phenotyping of Tuberculosis Using Serum Metabolic Fingerprints.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  9. Review
  10. Serum Metabolic Fingerprints Characterize Systemic Lupus Erythematosus.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  11. Article
  12. Article
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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 at 3 institutions in 1 country.

Chenjie YangDepartment of Chemistry, Institue of Metabolism and Integrate Biology (IMIB), Zhongshan Hospital, Fudan University, Shanghai, 200433, China.
Aizhu MiaoEye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China.
Chaochao YangDepartment of Chemistry, Institue of Metabolism and Integrate Biology (IMIB), Zhongshan Hospital, Fudan University, Shanghai, 200433, China.
Chuwen HuangDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Haolin ChenDepartment of Chemistry, Institue of Metabolism and Integrate Biology (IMIB), Zhongshan Hospital, Fudan University, Shanghai, 200433, China.
Yongxiang JiangEye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, China.
Chunhui DengDepartment of Chemistry, Institue of Metabolism and Integrate Biology (IMIB), Zhongshan Hospital, Fudan University, Shanghai, 200433, China.ORCID 0000-0002-8704-7543
Nianrong SunDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Fudan University · CNEye & ENT Hospital of Fudan University · CNSun Yat-sen University · CN

Funding

National Key R&D Program of China 2018YFA0507501National Natural Science Foundation of China 21425518National Natural Science Foundation of China 22004017National Natural Science Foundation of China 22074019Shanghai Sailing Program 20YF1405300
6 · The paper itself

Abstract

Diabetes and high myopia as well-known high-risk factors can aggravate cataracts, yet clinical coping strategy remains a bottleneck. Metabolic analysis tends to be powerful for precisely detection and mechanism exploration since most of diseases including cataracts are accompanied by metabolic disorder. Herein, a layered binary co-ionizers assisted aqueous humor metabolic analysis tool is proposed for potentially etiological typing and detection of cataracts, including age-related cataracts (ARC), cataracts with diabetes mellitus (CDM), and cataracts with high myopia (CHM). Startlingly, taking advantage of the optimal machine learning algorithm and all metabolic fingerprints, 100% of accuracy, precision, and recall rates are achieved for arbitrary comparison between groups. Moreover, 11, 9, and 7 key metabolites with explicit identities are confirmed as markers of discriminating CDM from ARC, CHM from ARC, and CDM from CHM, and the corresponding area under the curve values of validation cohorts are 0.985, 1.000, and 1.000. Finally, the critical impact of diabetes/high myopia on cataracts is revealed by excavating the change levels and metabolic pathways of key metabolites. This work updates the insights of prevention and treatment about cataracts at metabolic level and throws out huge surprises and progresses metabolic diagnosis toward a reality.

Indexed as

CataractMyopiaAqueous HumorBiomarkersHumansRisk FactorsBiomarkersaqueous humorcataractsdiabeteshigh myopialaser desorption/ionization mass spectrometrymetabolic fingerprintsnanomaterials

Identifiers

PMID35621284
PMCPMC9313487
OpenAlexW4281563373

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.