Association of Toll-Like Receptor 4 Polymorphisms with Diabetic Foot Ulcers and Application of Artificial Neural Network in DFU Risk Assessment in Type 2 Diabetes Patients.

The Toll-Like receptor 4 (TLR4) plays an important role in immunity, tissue repair, and regeneration. The objective of the present work was to evaluate the association of TLR4 single nucleotide polymorphisms (SNPs) rs4986790, rs4986791, rs11536858 (merged into rs10759931), rs1927911, and rs1927914 w...

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Publicado en:BioMed Research International Vol. 2013; pp. 318686 - 318687
Autores principales: Singh, Kanhaiya, Singh, Vivek Kumar, Agrawal, Neeraj K, Gupta, Sanjeev K, Singh, Kiran
Formato: research Journal Article
Publicado: Wiley-Blackwell 2013
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2013
      vid: 2013
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        atl: Association of Toll-Like Receptor 4 Polymorphisms with Diabetic Foot Ulcers and Application of Artificial Neural Network in DFU Risk Assessment in Type 2 Diabetes Patients.
      aug:
        au:
          Singh, Kanhaiya
          Singh, Vivek Kumar
          Agrawal, Neeraj K
          Gupta, Sanjeev K
          Singh, Kiran
        affil: Department of Molecular & Human Genetics, Banaras Hindu University, Varanasi 221005, India.
      sug:
        subj:
          Diabetic Foot
          Foot Ulcer
          Genetic Techniques
          Receptors, Cell Surface
          Diabetes Mellitus, Type 2 Complications
          Diabetes Mellitus, Type 2
          Diabetic Foot Pathology
          Foot Ulcer Pathology
          Genotype
          Human
          Neural Networks (Computer)
          Polymorphism, Genetic
          Risk Assessment
      ab: The Toll-Like receptor 4 (TLR4) plays an important role in immunity, tissue repair, and regeneration. The objective of the present work was to evaluate the association of TLR4 single nucleotide polymorphisms (SNPs) rs4986790, rs4986791, rs11536858 (merged into rs10759931), rs1927911, and rs1927914 with increased diabetic foot ulcer (DFU) risk in patients with type 2 diabetes mellitus (T2DM). PCR-RFLP was used for genotyping TLR4 SNPs in 125 T2DM patients with DFU and 130 controls. The haplotypes and linkage disequilibrium between the SNPs were determined using Haploview software. Multivariate linear regression (MLR) and artificial neural network (ANN) modeling was done to observe their predictability for the risk of DFU in T2DM patients. Risk genotypes of all SNPs except rs1927914 were significantly associated with DFU. Haplotype ACATC (P value = 9.3E - 5) showed strong association with DFU risk. Two haplotypes ATATC (P value = 0.0119) and ATGTT (P value = 0.0087) were found to be protective against DFU. In conclusion TLR4 SNPs and their haplotypes may increase the risk of impairment of wound healing in T2DM patients. ANN model (83%) is found to be better than the MLR model (76%) and can be used as a tool for the DFU risk assessment in T2DM patients.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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