Evidence map›Paper›PMID 40704100›Full record

ReviewFrontiers in bioengineering and biotechnology2025

Recent advances and future directions on GLA-producing organisms.

Mojgan Latifi, Foroozan Jalali Bidgoli, Helia Hajihassani, Danial Hassani, Pär K Ingvarsson, Naser Farrokhi

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Mojgan LatifiDepartment of Cell and Molecular Biology, Faculty of Biological Sciences, Shahid Beheshti University, Tehran, Iran.
Foroozan Jalali BidgoliDepartment of Cell and Molecular Biology, Faculty of Biological Sciences, Shahid Beheshti University, Tehran, Iran.
Helia HajihassaniDepartment of Cell and Molecular Biology, Faculty of Biological Sciences, Shahid Beheshti University, Tehran, Iran.
Danial HassaniSchool of Food and Pharmacy, Institute of Biomaterials and Biomedicine, Shanghai Zhongqiao Vocational and Technical University, Shanghai, China.
Pär K IngvarssonDepartment of Plant Biology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Naser FarrokhiDepartment of Cell and Molecular Biology, Faculty of Biological Sciences, Shahid Beheshti University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gamma-linolenic acid (GLA) is a biologically active omega-6 fatty acid with anti-inflammatory, immunomodulatory, and cardiovascular protective effects. It is a vital constituent of human health and is finding more widespread applications in nutritional supplements, medications, and functional foods. GLA can be derived from many different natural sources, including plants, fungi, and microorganisms. This review paper presents an overview of the current advances in the discovery, metabolic engineering, and GLA-producing organism optimization. We further present a discussion on new biotechnological approaches-such as culture medium optimization, genetic engineering, and genome editing-that can be employed to enhance GLA production. The paper also presents new trends and directions in the commercial exploitation of GLA-containing products, unveiling new, health-oriented applications.

Indexed as

gamma-linolenic acidgenetic modificationgenome editing technologiesGLA-producing microorganismsGLA production enhancemmetabolic engineeringomega-6 polyunsaturated fatty acids (PUFAs)

Identifiers

PMID40704100
PMCPMC12283596

What Socratic 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 Socratic graph.