Evidence mapPaperPMID 41136864Full record

ReviewJournal of applied genetics2025

Genetic variations and functions of KLF14 in gene expression and metabolic disease development.

Zainab Riaz, Saba Saeed, Shanza Riaz

Abstract readReview
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In one paragraph

Review in Journal of applied genetics, 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. 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

3 authors.

Zainab Riaz *Department of Zoology, The Government Sadiq College Women University, Bahawalpur, 63100, Punjab, Pakistan. zainabriaz2244@gmail.com.ORCID http://orcid.org/0000-0002-0864-5351
Saba Saeed *Department of Zoology, The Government Sadiq College Women University, Bahawalpur, 63100, Punjab, Pakistan. ssaba5306@gmail.com.ORCID http://orcid.org/0000-0002-0452-8027
Shanza RiazDepartment of Zoology, The Government Sadiq College Women University, Bahawalpur, 63100, Punjab, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Krüppel-like factor 14 (KLF14) is a pivotal trans-regulatory transcription factor that modulates diverse biological processes, including insulin sensitivity, glucose homeostasis, lipid metabolism, and potentially cancer suppression through its regulation of centrosome amplification and apoptosis in colorectal cancer cells. KLF14 has been associated with the pathogenesis of metabolic disorders, including obesity, insulin resistance, and type 2 diabetes (T2D), and contains CpG sites that exhibit age-associated methylation changes, which may serve as potential biomarkers for estimating an individual age. Genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) that are significantly associated with KLF14 expression in adipose tissue. The functional impact of KLF14 is influenced by both physiological and environmental factors, underscoring its complex role in disease pathogenesis. Population-based genetic studies reveal significant interethnic variability in KLF14 polymorphisms, highlighting the necessity of incorporating ethnic diversity into genetic research. Moreover, a deeper understanding of the molecular regulatory mechanisms and disease associations of KLF14 could inform the development of targeted therapies and personalized medicine strategies. Thus, the current study underscores the significance of KLF14 as a trans-regulatory gene and a potential therapeutic target, emphasizing its intricate role in biological regulation and disease pathogenesis.

Indexed as

ApoA1Gene expressionGenetic variationsKLF14Single nucleotide polymorphismTrans-regulatory gene

Identifiers

What Socratic holds

Textmetadata
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.