Evidence map›Paper›PMID 41379817›Full record

ArticlePloS one2025

Exploring the genetic frontier: Unraveling ANRIL, PAI-1, and HNF1α in stroke progression.

Abdullah Hamadi, Rashid Mir, Osama M Al-Amer, Mohammed Alasseiri, Gasim Dobie, Imadeldin Elfaki, Waseem AlZamzami, Sael Alatawi, Atif Abdulwahab A Oyouni, Mohammad A Alanazi and 1 more

Abstract read
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Article in PloS one, 2025. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Abdullah HamadiFaculty of Applied Medical Sciences, Department of Medical Laboratory Technology, University of Tabuk, Tabuk, Saudi Arabia.ORCID https://orcid.org/0000-0002-1095-5455
Rashid MirFaculty of Applied Medical Sciences, Department of Medical Laboratory Technology, University of Tabuk, Tabuk, Saudi Arabia.
Osama M Al-AmerFaculty of Applied Medical Sciences, Department of Medical Laboratory Technology, University of Tabuk, Tabuk, Saudi Arabia.
Mohammed AlasseiriFaculty of Applied Medical Sciences, Department of Medical Laboratory Technology, University of Tabuk, Tabuk, Saudi Arabia.
Gasim DobieFaculty of Applied Medical Sciences, Department of Medical Laboratory Technology, Jazan University, Jazan, Saudi Arabia.
Imadeldin ElfakiPrince Fahad Bin Sultan Chair for Biomedical Research, University of Tabuk, Tabuk, Saudi Arabia.
Waseem AlZamzamiFaculty of Applied Medical Sciences, Department of Medical Laboratory Technology, University of Tabuk, Tabuk, Saudi Arabia.ORCID https://orcid.org/0000-0002-6673-6649
Sael AlatawiFaculty of Applied Medical Sciences, Department of Medical Laboratory Technology, University of Tabuk, Tabuk, Saudi Arabia.ORCID https://orcid.org/0000-0001-5773-5567
Atif Abdulwahab A OyouniPrince Fahad Bin Sultan Chair for Biomedical Research, University of Tabuk, Tabuk, Saudi Arabia.ORCID https://orcid.org/0000-0001-8762-4999
Mohammad A AlanaziFaculty of Applied Medical Sciences, Department of Medical Laboratory Technology, University of Tabuk, Tabuk, Saudi Arabia.
Saravanan MuthupandianFaculty of Applied Medical Sciences, Department of Medical Laboratory Technology, University of Tabuk, Tabuk, Saudi Arabia.ORCID https://orcid.org/0000-0002-1480-3555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIschemic stroke poses a notable global public health challenge, with the Kingdom of Saudi Arabia (KSA) being no exception. This multifaceted condition is affected by a combination of factors, including hypertension, diabetes, and genetic influences. The purpose of the present study was to examine the linkage of long noncoding RNAs (such as ANRIL), plasminogen activator inhibitor-1 (PAI-1), and hepatocyte nuclear factor 1 alpha (HNF1α) gene variations with stroke. Leveraging a substantial cohort comprising both stroke patients and healthy individuals from KSA, our research revealed numerous uncommon genetic variations linked to an increased predisposition to stroke. This insight enhances our comprehension of stroke's genetic underpinnings and can be invaluable in formulating preventive measures, not only in KSA but also on a global scale.

methodsIn this study we included 100 stroke patients and 100-120 healthy controls from Saudi population. We utilized the amplification refractory mutation system-PCR to genotype the chromosome 9p21 locus, the long noncoding RNA-ANRIL (lncRNA-ANRIL), Hepatocyte Nuclear Factor 1 alpha (HNF1α-A > C [p.I27L]) gene, and the plasminogen activator inhibitor-1 (PAI-1) gene to investigate the association of these gene variations with a stroke. Additionally, WES was performed for 10 stroke patients using the Illumina NovaSeq 6000 platform.

resultsOur investigation revealed significant associations between stroke patients and healthy controls concerning polymorphic variants of lncRNA-ANRIL (A > C), ANRIL (G > A), HNF1α-A > C, and PAI-1-4G > 5G genes (p < 0.05). Notably, the ANRIL rs1333048-GA genotype exhibited a strong connection with stroke susceptibility in both codominant (OR 2.29, RR 1.54, P < 0.007) and dominant (OR 1.83, RR 1.35, P < 0.034) models, while an overdominant inheritance model demonstrated a protective correlation (OR 0.42, RR 0.64, p < 0.004). Similarly, the ANRIL rs10757278-GG genotype was significantly associated with stroke susceptibility in the codominant (OR 2.80, RR 1.66, P < 0.004) and recessive (OR 3.14, RR 1.62, P < 0.0003) models, with the G allele also displaying a significant association. The HNF1α-TT genotype strongly correlated with stroke risk in the codominant (OR 18.36, RR 9.96, P < 0.048) and recessive (OR 22.14, RR 10.18, P < 0.034) models, with the HNF1α-T allele following a similar trend. The PAI-1-4G-5G genotype was also linked to stroke predisposition (OR 2.09, RR 1.34, P < 0.034) and an increased risk in the dominant model (OR 2.27, RR 1.43, P < 0.006). Furthermore, our study identified several novel and common gene variants in stroke patients through WES, including COL4A2, PSEN2, NOTCH3, and RNF2.

conclusionOur findings underscore the significant role of genetic determinants in chromosome 9p21, the lncRNA-ANRIL, HNF1α-A > C (p.I27L), and PAI-1-4G > 5G genes in elevating the risk of stroke. Additionally, we report low, novel, and intermediate-genetic-risk variants in COL4A2, PSEN2, NOTCH3, and RNF2 through WES, emphasizing the need for further investigation in larger cohort studies.

Indexed as

Hepatocyte Nuclear Factor 1-alphaPlasminogen Activator Inhibitor 1RNA, Long NoncodingStrokeAdultAgedCase-Control StudiesDisease ProgressionFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPolymorphism, Single NucleotideSaudi ArabiaCDKN2B antisense RNA, humanHepatocyte Nuclear Factor 1-alphaHNF1A protein, humanPlasminogen Activator Inhibitor 1RNA, Long NoncodingSERPINE1 protein, human

Identifiers

PMID41379817
PMCPMC12698005

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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.