Evidence map›Paper›PMID 39942109›Full record

ArticleFoods (Basel, Switzerland)2025

Synergistic Antioxidant and Cytoprotective Effects of

Chattip Sunthrarak, Kakanang Posridee, Parinya Noisa, Soon-Mi Shim, Siwatt Thaiudom, Anant Oonsivilai, Ratchadaporn Oonsivilai

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Chattip SunthrarakHealth and Wellness Research Unit, School of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.
Kakanang PosrideeHealth and Wellness Research Unit, School of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.ORCID 0009-0005-7024-5841
Parinya NoisaSchool of Biotechnology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.ORCID 0000-0002-1474-7792
Soon-Mi ShimDepartment of Food Science and Biotechnology, Sejong University, Seoul 05006, Republic of Korea.ORCID 0000-0002-5978-9662
Siwatt ThaiudomHealth and Wellness Research Unit, School of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.
Anant OonsivilaiSchool of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.ORCID 0000-0002-6473-1852
Ratchadaporn OonsivilaiHealth and Wellness Research Unit, School of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.ORCID 0000-0002-5266-8411

Funding

(i) Suranaree University of Technology (SUT, (ii), Thailand Science Research and Innovation (TSRI), and (iii) National Science, Research and Innovation Fund (NSRF) (NRIIS number 195597).
6 · The paper itself

Abstract

PM2.5, a fine particulate matter, poses considerable health risks. When inhaled, PM2.5 can deeply penetrate the lungs, triggering respiratory issues such as pneumonia and bronchitis, aggravating heart and lung conditions, increasing the risk of lung cancer, causing cardiovascular problems, and affecting the nervous, immune, and reproductive systems. This study investigated the protective effects of the combination extract (CRGE) of

Indexed as

antioxidantgene expressionoxidative stressparticle mattersynergistic

Identifiers

PMID39942109
PMCPMC11817398

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.