Evidence map›Paper›PMID 41803292›Full record

ArticleScientific reports2026

Investigating the impact of carbamazepine on tomato plant metabolism using genome-scale metabolic modelling.

Samyuktha Srinivasan, Karthik Raman, Smita Srivastava

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

3 authors.

Samyuktha SrinivasanDepartment of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600 036, India.
Karthik RamanCentre for Integrative Biology and Systems mEdicine (IBSE), Wadhwani School of Data Science and AI, Indian Institute of Technology Madras, Chennai, 600 036, India. kraman@iitm.ac.in.
Smita SrivastavaDepartment of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, 600 036, India. smita@iitm.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive mechanistic analysis of emerging pharmaceutical pollutants' stress response in plants is crucial to understand their chronic impact on food-chain contamination and agricultural productivity. To unravel this at the systems level, stress response of carbamazepine (CBZ), an emerging recalcitrant anticonvulsant pollutant, was simulated in tomato. For this, an updated genome-scale metabolic model of tomato leaf, CBZ_iSL3433, augmented with CBZ detoxification reactions based on green-liver concept was developed. Under phototrophic conditions, CBZ_iSL3433 predicted energy and co-factor competition-induced biomass reduction under CBZ stress. Further, the study provides an in silico mechanistic insight for abiotic stress response induced by CBZ in tomato with altered flux states in nutrient assimilation, synthesis of key precursors of leaf biomass, and secondary metabolites. Additionally, potential ameliorative effects of biostimulants such as proline, spermine, glycerol, and ethanol were investigated through model predictions. Through systematic computational analysis, 154 significantly altered reactions were identified in the presence of CBZ stress, of which 92% were ameliorated with biostimulants. Notably, based on simulations, amino acid biosynthesis was the most significantly altered pathway under CBZ stress. Overall, the proposed framework can aid in screening and developing rational strategies to maintain agricultural yields amid rising plant stress due to such anthropogenic pollutants.

Indexed as

CarbamazepineGenome, PlantModels, BiologicalSolanum lycopersicumAnticonvulsantsBiomassComputer SimulationPlant LeavesStress, PhysiologicalAnticonvulsantsCarbamazepineBiostimulantsChemical pollutionConstraint-based modellingGreen-liverPlant stressWater pollution

Identifiers

PMID41803292
PMCPMC13096216

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.