Evidence map›Paper›PMID 37117811›Full record

ReviewNature reviews. Chemistry2023

Detection and analysis of chiral molecules as disease biomarkers.

Yaoran Liu, Zilong Wu, Daniel W Armstrong, Herman Wolosker, Yuebing Zheng

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
35.2field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 192 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 2 countries.

Yaoran LiuDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0001-5383-6643
Zilong WuWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA. zlwu@utexas.edu.ORCID http://orcid.org/0000-0001-9323-7768
Daniel W ArmstrongDepartment of Chemistry & Biochemistry, University of Texas at Arlington, Arlington, TX, USA. sec4dwa@uta.edu.ORCID http://orcid.org/0000-0003-0501-6231
Herman WoloskerDepartment of Biochemistry, Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel. hwoloske@technion.ac.il.ORCID http://orcid.org/0000-0001-5508-9194
Yuebing ZhengDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA. zheng@austin.utexas.edu.ORCID http://orcid.org/0000-0002-9168-9477
The University of Texas at Austin · USTechnion – Israel Institute of Technology · ILThe University of Texas at Arlington · USWalker (United States) · US

Funding

Four-dimensional Adhesion Frequency Assay for Full Profiling of Receptor-ligand Interactions on CellsR01GM146962 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZHENG, YUEBING · 2022 to 2025
$1.5M
NIGMS NIH HHS R01 GM146962
6 · The paper itself

Abstract

The chirality of small metabolic molecules is important in controlling physiological processes and indicating the health status of humans. Abnormal enantiomeric ratios of chiral molecules in biofluids and tissues occur in many diseases, including cancers and kidney and brain diseases. Thus, chiral small molecules are promising biomarkers for disease diagnosis, prognosis, adverse drug-effect monitoring, pharmacodynamic studies and personalized medicine. However, it remains difficult to achieve cost-effective and reliable analysis of small chiral molecules in clinical procedures, in part owing to their large variety and low concentration. In this Review, we describe current and emerging techniques that detect and quantify small-molecule enantiomers and their biological importance.

Indexed as

StereoisomerismBiomarkersHumansBiomarkers

Identifiers

PMID37117811
PMCPMC10175202
OpenAlexW4327905502

What OpenQuestion holds

Textmetadata
LicenceTDM
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.