# An association study of SERPINA1 gene polymorphisms with the risk of metabolic dysfunction-associated steatotic liver disease In an Iranian population: A preliminary case-control study

**Authors:** Samira Abdollahi, Abbas Sahebghadam Lotfi, Ramin Saravani, Hamed Taheri

PMC · DOI: 10.1016/j.bbrep.2025.101974 · Biochemistry and Biophysics Reports · 2025-03-18

## TL;DR

This study found that certain genetic variations in the SERPINA1 gene are linked to a higher risk of liver disease in an Iranian population.

## Contribution

The study identifies specific SERPINA1 gene polymorphisms associated with metabolic dysfunction-associated steatotic liver disease in an Iranian population.

## Key findings

- The rs6647 G allele significantly increased the risk of MASLD in codominant, dominant, and over-dominant models.
- The rs709932 T allele was more frequent in patients and increased MASLD risk in codominant and recessive models.
- The rs1303 G allele was associated with higher serum levels of α1-antitrypsin in MASLD patients.

## Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a type of fat accumulation in the liver that can lead to cirrhosis and chronic liver disease. MASLD is recognized as the most frequent of liver-associated deaths worldwide. The SERPINA1 gene encodes a serine protease protein that plays a pivotal role in the pathogenesis of liver deficiencies. In this study, we aimed to evaluate the genetic association between rs6647 (M1), rs709932 (M2), and rs1303 (M3) variants in the SERPINA1 gene and the risk of MASLD in an Iranian population.

In this case-control study, 120 patients affected by MASLD and 120 healthy subjects participated. The Nephelometry system measured serum levels of α1-antitrypsin (A1AT). Biochemical tests were conducted to assess serum levels of blood parameters using commercially available kits. DNA extraction was performed using the salting-out method, followed by the amplification refractory mutation system-polymerase chain reaction (ARMS-PCR) method for genotyping. Statistical analysis was performed by SPSS v16.0.

The findings showed that the rs6647 G allele significantly increased the risk of MASLD. The G allele in codominant, dominant, and over-dominant models caused an increase in the risk of MASLD. Additionally, the rs709932 T allele was more frequent among patients compared to healthy subjects and significantly enhanced the risk of MASLD. The T allele in the codominant and recessive models indicated a high risk for MASLD in our population. The G allele of rs1303 caused an enhancement in the mean serum levels of A1AT in the MASLD group.

Our results show an association between SERPINA1 gene variants and the risk of MASLD. The rs6647 (M1) and rs709932 (M2) variants of the SERPINA1 gene increased the risk of disorder in our population.

•rs6647 G allele increased the risk of MASLD, statistically.•rs709932 T allele significantly enhanced the risk of MASLD.•The G allele of rs1303 caused an enhancement in the mean serum level of A1AT in MASLD group.•results showed an association between SERPINA1 gene variants and the risk of MASLD.

rs6647 G allele increased the risk of MASLD, statistically.

rs709932 T allele significantly enhanced the risk of MASLD.

The G allele of rs1303 caused an enhancement in the mean serum level of A1AT in MASLD group.

results showed an association between SERPINA1 gene variants and the risk of MASLD.

## Linked entities

- **Genes:** SERPINA1 (serpin family A member 1) [NCBI Gene 5265]
- **Diseases:** metabolic dysfunction-associated steatotic liver disease (MONDO:0013209), MASLD (MONDO:0013209), cirrhosis (MONDO:0005155)

## Full-text entities

- **Genes:** SERPINA1 (serpin family A member 1) [NCBI Gene 5265] {aka A1A, A1AT, AAT, PI, PI1, PRO2275}
- **Diseases:** deaths (MESH:D003643), MASLD (MESH:D008107), cirrhosis (MESH:D005355), liver deficiencies (MESH:D017093)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** rs1303, rs6647, rs709932

## Full text

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## Figures

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## References

34 references — full list in the complete paper: https://tomesphere.com/paper/PMC11964567/full.md

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Source: https://tomesphere.com/paper/PMC11964567