Evidence map›Paper›PMID 40421159›Full record

ArticleComputational and structural biotechnology journal2025

Integrating spatial mapping and metabolomics: A novel platform for bioactive compound discovery and saline land reclamation.

Tushar Andriyas, Nisa Leksungnoen, Pichaya Pongchaidacha, Arashaporn Uthairangsee, Suwimon Uthairatsamee, Peerapat Doomnil, Yongkriat Ku-Or, Chatchai Ngernsaengsaruay, Sanyogita Andriyas, Arerut Yarnvudhi and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 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

11 authors.

Tushar AndriyasDepartment of Food and Pharmaceutical Chemistry, Faculty of Pharmaceutical Science, Chulalongkorn University, Bangkok, Thailand.
Nisa LeksungnoenDepartment of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand.
Pichaya PongchaidachaDepartment of Food and Pharmaceutical Chemistry, Faculty of Pharmaceutical Science, Chulalongkorn University, Bangkok, Thailand.
Arashaporn UthairangseeDepartment of Food and Pharmaceutical Chemistry, Faculty of Pharmaceutical Science, Chulalongkorn University, Bangkok, Thailand.
Suwimon UthairatsameeDepartment of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand.
Peerapat DoomnilForest Resource Management Office No.4 (Tak), Pa Mamuang sub-district, Muang Tak, Tak 63000, Thailand.
Yongkriat Ku-OrDepartment of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand.
Chatchai NgernsaengsaruayDepartment of Botany, Faculty of Science, Kasetsart University, Bangkok, Thailand.
Sanyogita AndriyasDepartment of Irrigation and Drainage Engineering, Vaugh Institute of Agriculture Engineering and Technology, Sam Higginbottom University of Agriculture, Technology, and Sciences, Prayagraj, Uttar Pradesh, India.
Arerut YarnvudhiDepartment of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand.
Rossarin TansawatDepartment of Food and Pharmaceutical Chemistry, Faculty of Pharmaceutical Science, Chulalongkorn University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saline lands pose significant environmental and agricultural challenges due to high soil salinity, which disrupts water uptake and ionic balances, limiting conventional crop productivity. Yet, certain endemic plants thrive under these conditions and may offer untapped bioactive compounds. This study proposes a novel platform that integrates species distribution modeling (SDM) and advanced metabolomics to screen for bioactive secondary metabolites, using

Indexed as

BioactiveBuchanania siamensisMetabolomicsSaline landSecondary metabolitesSpecies Distribution Model

Identifiers

PMID40421159
PMCPMC12104716

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.