Analysis of Netrin 1 Gene using Bioinformatics in patients with Diabetic Foot

Diabetic foot, a serious complication of diabetes mellitus, involves delayed wound healing and an increased risk of infection and amputation. Netrin-1, a laminin-related secreted protein, plays a key role in angiogenesis, inflammation, and tissue repair, making it a relevant gene in diabetic foot pathology. This study aimed to identify and analyse single nucleotide polymorphisms (SNPs) in the Netrin-1 (NTN1) gene using bioinformatics tools to distinguish between damaging and neutral variants. Predictive algorithms such as SIFT, PROVEAN, and I- Tasser were used to assess their potential impact. Notably, SNP analysis at position 223 revealed several potentially harmful substitutions. Structural modelling indicated that these mutations could alter the protein’s size and charge, potentially disrupting its normal function.

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Publication Details

Journal
Research Journal of Pharmacy and Technology
Published
2025-06-12
DOI
https://doi.org/10.52711/0974-360x.2025.00361
Primary Topic
Axon Guidance and Neuronal Signaling
Type
article
Field-Weighted Citation Impact
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article

Analysis of Netrin 1 Gene using Bioinformatics in patients with Diabetic Foot

Usha Adiga, Dinker Pai, D Chaitra, Adiga Sachidananda
Research Journal of Pharmacy and Technology
Axon Guidance and Neuronal Signaling
article

Analysis of Netrin 1 Gene using Bioinformatics in patients with Diabetic Foot

Usha Adiga, Dinker Pai, D Chaitra, Adiga Sachidananda
article en

Abstract

Diabetic foot, a serious complication of diabetes mellitus, involves delayed wound healing and an increased risk of infection and amputation. Netrin-1, a laminin-related secreted protein, plays a key role in angiogenesis, inflammation, and tissue repair, making it a relevant gene in diabetic foot pathology. This study aimed to identify and analyse single nucleotide polymorphisms (SNPs) in the Netrin-1 (NTN1) gene using bioinformatics tools to distinguish between damaging and neutral variants. Predictive algorithms such as SIFT, PROVEAN, and I- Tasser were used to assess their potential impact. Notably, SNP analysis at position 223 revealed several potentially harmful substitutions. Structural modelling indicated that these mutations could alter the protein’s size and charge, potentially disrupting its normal function.

Research Journal of Pharmacy and Technology
Apollo Institute of Medical Sciences & Research (IN), K S Hegde Medical Academy (IN)
Openalex Percentile: Top 81%
Axon Guidance and Neuronal Signaling
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