Evidence map›Paper›PMID 37326708›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

MicroRNA Profiling from Tears as a Potential Non-invasive Method for Early Detection of Diabetic Retinopathy.

Wilson K M Wong, Mya Polkamp, Ryan J Farr, Pooja S Kunte, Hrishikesh P Hardikar, Chittaranjan S Yajnik, Anandwardhan A Hardikar, Mugdha V Joglekar

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
2.5field-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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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 2 institutions in 1 country.

Wilson K M WongDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia.
Mya PolkampDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia.
Ryan J FarrDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia.
Pooja S KunteDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia.
Hrishikesh P HardikarDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia.
Chittaranjan S YajnikDiabetes Unit, KEM Hospital and Research Centre, Pune, India.
Anandwardhan A HardikarDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia. a.hardikar@westernsydney.edu.au.
Mugdha V JoglekarDiabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia. m.joglekar@westernsydney.edu.au.
Camden and Campbelltown Hospitals · AUWestern Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic retinopathy (DR) is a vascular complication of diabetes that can lead to partial or complete loss of vision. Early detection and treatment of DR can prevent blindness. Regular clinical examination is recommended for DR diagnosis; however, it is not always possible or feasible due to limited resources, expertise, time, and infrastructure. Several clinical and molecular biomarkers are proposed for the prediction of DR including microRNAs. MicroRNAs are a class of small non-coding RNAs that are found in biofluids and can be measured using reliable and sensitive methods. The most commonly used biofluid for microRNA profiling is plasma or serum; however, tear fluid (tears) is also demonstrated to contain microRNAs. MicroRNAs isolated from tears present a non-invasive source for DR detection. Different methods of microRNA profiling are available including digital PCR-based methods that can detect up to a single copy of microRNA in the biofluids. Here, we describe microRNA isolation from tears using manual method as well as using a high-throughput automated platform followed by microRNA profiling using digital PCR system.

Indexed as

Diabetes MellitusDiabetic RetinopathyMicroRNAsBiomarkersEarly DiagnosisHumansTearsBiomarkersMicroRNAsDiabetesDiabetic retinopathyDigital PCRHigh throughputMicroRNAsTears

Identifiers

PMID37326708
OpenAlexW4380872632

What Socratic holds

Textmetadata
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 Socratic graph.