Evidence map›Paper›PMID 42453100›Full record

ReviewFrontiers in microbiology2026

Appraisal of biohydrogenating probiotic enzymes for the synthesis of conjugated linoleic acid isomers.

Suzana Ghosh, Asit Ranjan Ghosh

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 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

2 authors.

Suzana GhoshDepartment of Integrative Biology, School of Bioscience and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
Asit Ranjan GhoshDepartment of Integrative Biology, School of Bioscience and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conjugated linoleic acid (CLA) is a group of positional and geometric isomers widely admired for its anti-inflammatory and anti-carcinogenic effects. Enzymes responsible for bioconverting linoleic acid (LA) into CLA are diverse, found in a wide range of microorganisms from lactic acid bacteria (LAB) to non-lactic acid bacteria (non-LAB). Various LAB and non-LAB strains show promising results in CLA production. Enzymes such as linoleate isomerase (LAI), Myosin cross-reactive antigen (MCRA), and oleate hydratase, involved in CLA production, are also diverse in nature. They originate from various sources and have demonstrated potential to biohydrogenate LA and other similar substrates. Comparative analysis of substrate-enzyme dynamics revealed substantial structural conservation alongside functional divergence among various biohyrogenating enzyme-associated pathways, suggesting evolutionary adaptation toward fatty acid detoxification and membrane homeostasis. Furthermore, environmental and physiological factors such as substrate availability, oxygenation, pH, temperature, and growth phase were found to significantly influence CLA biosynthesis. Despite considerable advances, several mechanistic aspects of enzyme cooperation, pathway regulation, and evolutionary relationships remain unresolved. This article critically examines various aspects of substrate-enzyme dynamics, their ecology, evolution, and molecular regulation. It aims to bridge the knowledge gap in catalytic mechanisms and regulation while summarizing available information on various enzymes responsible for the bioconversion of LA to CLA, implicating fundamental microbiology and biotechnology.

Indexed as

biohydrogenation pathwayCLAfatty acidshydrataseLAIMCRA

Identifiers

PMID42453100
PMCPMC13365329

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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 OpenQuestion graph.