Evidence map›Paper›PMID 40289981›Full record

ReviewCurrent medicinal chemistry2026

Current Attainments on Nanobiosensors for Diagnosing Atherosclerosis Biomarkers.

Thangavel Lakshmipriya, Subash C B Gopinath, Yeng Chen, Sreeramanan Subramaniam

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current medicinal chemistry, 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

4 authors.

Thangavel LakshmipriyaSaveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602 105, Tamil Nadu, India.
Subash C B GopinathFaculty of Chemical Engineering & Technology, Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia.
Yeng ChenDepartment of Oral and Craniofacial Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, 50603, Malaysia.
Sreeramanan SubramaniamFaculty of Chemical Engineering & Technology, Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis is a chronic disease caused by inflammation in the blood vessel wall, which leads to plaque formation in the endothelial lining. Preexisting atherosclerosis contributes to various cardiovascular problems, including myocardial infarction, congestive cardiac failure, arrhythmias, and acute coronary syndrome, all of which are associated with higher postoperative mortality and morbidity. Rupturing of atherosclerosis poses a significant health concern as triggering a heart attack. Therefore, it is essential to identify atherosclerosis early to prevent health complications and their subsequent consequences. Atherosclerosis is typically diagnosed by angiograms, computerized tomography scans and stress tests. Additionally, various biomarkers are released by inflammatory cells in the surrounding tissue and artery walls during the pathogenesis of atherosclerosis. Quantifying these biomarkers can aid in diagnosing and determining the severity of atherosclerosis in relation to cardiovascular diseases. This review focuses on the recent advancements in understanding the formation of atherosclerosis and the implementation of biomarkers in nano biosensors.

Indexed as

AtherosclerosisBiomarkersBiosensing TechniquesAnimalsHumansBiomarkersatherosclerosisbiological legendsbiomarkersbiosensorcardiovascular diseasesEndothelial plaque

Identifiers

PMID40289981

What OpenQuestion 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 OpenQuestion graph.