Evidence mapPaperPMID 38336992Full record

ArticleEye (London, England)2024

Multiplatform tear proteomic profiling reveals novel non-invasive biomarkers for diabetic retinopathy.

Zixin Fan, Yarou Hu, Laijiao Chen, Xiaofeng Lu, Lei Zheng, Dahui Ma, Zhiqiang Li, Jingwen Zhong, Lin Lin, Sifan Zhang and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Eye (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
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5citing 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

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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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

11 authors.

Zixin Fan *Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China.ORCID http://orcid.org/0000-0003-4952-8917
Yarou Hu *Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China.
Laijiao ChenShenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China.
Xiaofeng LuShenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China.
Lei ZhengShenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China.
Dahui MaShenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China.
Zhiqiang LiShenmei Eye Hospital, Meizhou, Guangdong, 514000, China.
Jingwen ZhongShenmei Eye Hospital, Meizhou, Guangdong, 514000, China.
Lin LinSouthern University of Science and Technology, Shenzhen, Guangdong, 518040, China.
Sifan ZhangNew York University, New York, NY 10003, USA.
Guoming ZhangShenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, Guangdong, 518040, China. zhang-guoming@163.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82271103
6 · The paper itself

Abstract

objectivesTo investigate a comprehensive proteomic profile of the tear fluid in patients with diabetic retinopathy (DR) and further define non-invasive biomarkers.

methodsA cross-sectional, multicentre study that includes 46 patients with DR, 28 patients with diabetes mellitus (DM), and 30 healthy controls (HC). Tear samples were collected with Schirmer strips. As for the discovery set, data-independent acquisition mass spectrometry was used to characterize the tear proteomic profile. Differentially expressed proteins between groups were identified, with gene ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis further developed. Classifying performance of biomarkers for distinguishing DR from DM was compared by the combination of three machine-learning algorithms. The selected biomarker panel was tested in the validation cohort using parallel reaction monitoring mass spectrometry.

resultsAmong 3364 proteins quantified, 235 and 88 differentially expressed proteins were identified for DR when compared to HC and DM, respectively, which were fundamentally related to retina homeostasis, inflammation and immunity, oxidative stress, angiogenesis and coagulation, metabolism, and cellular adhesion processes. The biomarker panel consisting of NAD-dependent protein deacetylase sirtuin-2 (SIR2), amine oxidase [flavin-containing] B (AOFB), and U8 snoRNA-decapping enzyme (NUD16) exhibited the best diagnostic performance in discriminating DR from DM, with AUCs of 0.933 and 0.881 in the discovery and validation set, respectively.

conclusionsTear protein dysregulation is comprehensively revealed to be associated with DR onset. The combination of tear SIR2, AOFB, and NUD16 can be a novel potential approach for non-invasive detection or pre-screening of DR. CLINICAL

trial registrationChinese Clinical Trial Registry Identifier: ChiCTR2100054263. https://www.chictr.org.cn/showproj.html?proj=143177 . Date of registration: 2021/12/12.

Indexed as

BiomarkersDiabetic RetinopathyEye ProteinsProteomicsTearsAdultAgedAmine Oxidase (Copper-Containing)Cross-Sectional StudiesFemaleHumansMaleMiddle AgedSirtuin 2Amine Oxidase (Copper-Containing)BiomarkersEye ProteinsSIRT2 protein, humanSirtuin 2tear proteins

Identifiers

PMID38336992
PMCPMC11126564

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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 Socratic graph.