Medical Hypotheses
Volume 75, Issue 6 , Pages 648-651, December 2010

Butyrylcholinesterase in metabolic syndrome

  • Gumpeny R. Sridhar

      Affiliations

    • Endocrine and Diabetes Centre, 15-12-15 Krishananagar, Visakhapatnam 530 002, India
    • Corresponding Author InformationCorresponding author. Tel.: +91 891 2566301; fax: +91 891 2509427.
  • ,
  • Allam Appa Rao

      Affiliations

    • Vice Chancellor, JNTU, Kakinada, India
  • ,
  • Kudipudi Srinivas

      Affiliations

    • Pydah College, Visakhapatnam, India
  • ,
  • Gumpeny Nirmala

      Affiliations

    • Endocrine and Diabetes Centre, 15-12-15 Krishananagar, Visakhapatnam 530 002, India
  • ,
  • Gumpeny Lakshmi

      Affiliations

    • Kasturba Medical College, Manipal, India
  • ,
  • Dasika Suryanarayna

      Affiliations

    • Shri Vishnu Engineering College For Women, Bhimavaram 534 202, India
  • ,
  • Padmanabhuni V. Nageswara Rao

      Affiliations

    • Dept. of Computer Sciences, GITAM University, Visakhapatnam, India
  • ,
  • Dowluru G.S.V.G.L. Kaladhar

      Affiliations

    • Dept. of Biochemistry, GITAM University, Visakhapatnam, India
  • ,
  • Sali Veeresh Kumar

      Affiliations

    • Dept. of Biochemistry, GITAM University, Visakhapatnam, India
  • ,
  • Tatavarthi Uma Devi

      Affiliations

    • Dept. of Computer Sciences, GITAM University, Visakhapatnam, India
  • ,
  • Turaga Nitesh

      Affiliations

    • Dept. of Bioinformatics, SRM University, Chennai, India
  • ,
  • Thota Hanuman

      Affiliations

    • Department of MCA, S.V.H. College of Engineering, Machilipatnam 521 002, India

Received 30 April 2010; accepted 1 August 2010. published online 27 August 2010.

Summary 

Butyrylcholinesterase may have a role in a number of metabolic functions and could affect the expression of insulin resistance syndrome. We present our integrated work using clinical, biochemical and bioinformatic approaches to delineate the possible function of this enzyme. Initially, we constructed a phylogenic tree with nucleotides and amino acid sequences and showed the existence of similar sequences in bacteria, plants and in other animals. We also demonstrated a possible pathogenic role for BChE in the common existence of insulin resistance, type 2 diabetes and Alzheimer’s disease by in silico method and followed it up with a diabetic mouse study where cognition was slowed along with changes in BChE levels. In the next group of in silico studies, we employed THEMATICS method to identify the amino acids at the active site and later performed docking studies with drugs. THEMATICS predicted two clusters of ionisable amino acid residues that are in proximity: one with two residues and another with 11 showed perturbation in the THEMATICS curves. Using ISIS/Draw 2.5SP4, ARGUSLAB 4.0.1 and HEX 5.1. software. 3-D ligands were docked with BChE motif (from PDB). We did not find any of the ligands studied with significant docking distance, indicating they did not have direct interaction with the active site. Subsequently we performed in silico studies to compare the secondary structure and domain of BChE. Protein–protein interaction showed the following intersections with BChE UBE21, CHAT, APOE, AATF, DF ALDH9A1, PDHX, PONI PSME3 and ATP6VOA2. The integrative physiological roles of proteins with poorly known functions can be approached by generating leads in silico, which can be studied in vivo, setting into movement an iterative process.

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PII: S0306-9877(10)00309-9

doi:10.1016/j.mehy.2010.08.008

Medical Hypotheses
Volume 75, Issue 6 , Pages 648-651, December 2010