Literature DB >> 16061274

Molecular variants and derivatives of insulin for improved glycemic control in diabetes.

Sonika Bhatnagar1, Deepa Srivastava, M S K Jayadev, A K Dubey.   

Abstract

Insulin is a historic molecule. It presents many first instances, such as the first protein to be fully sequenced, one of the first proteins to be crystallized in pure form, one among the early proteins whose structure was investigated using X-ray crystallography, the first protein to be chemically synthesized and the first Biotech drug. Therefore, the development of insulin in the early years is intricately intertwined with the progress in molecular and structural biology. In recent years, development of a range of insulin analogs has led to better control of glucose levels, thus preventing secondary complications and improving the quality of life in diabetic patients. Such analogs were obtained by modification of the native insulin sequence. They vary with regard to their pharmacokinetic profile, stability, tissue specificity and mode of administration. In addition, alterations involving incorporation of various chemical moieties in insulin and its co-crystallization with insoluble derivatives are used to modulate the time-action profile of the drug. This article traces the development of molecular variants and derivatives of insulin. It discusses future directions for further improvement in their properties to produce still better insulin therapeutics for tight glycemic control.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16061274     DOI: 10.1016/j.pbiomolbio.2005.05.012

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  4 in total

1.  Comparative pharmacodynamic and pharmacokinetic characteristics of subcutaneous insulin glulisine and insulin aspart prior to a standard meal in obese subjects with type 2 diabetes.

Authors:  G B Bolli; S Luzio; S Marzotti; F Porcellati; C Sert-Langeron; B Charbonnel; Y Zair; D R Owens
Journal:  Diabetes Obes Metab       Date:  2011-03       Impact factor: 6.577

2.  Application of machine learning methods for the prediction of true fasting status in patients performing blood tests.

Authors:  Shih-Ni Chang; Ya-Luan Hsiao; Che-Chen Lin; Chuan-Hu Sun; Pei-Shan Chen; Min-Yen Wu; Sheng-Hsuan Chen; Hsiu-Yin Chiang; Chiung-Tzu Hsiao; Emily K King; Chun-Min Chang; Chin-Chi Kuo
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

3.  Human insulin polymorphism upon ligand binding and pH variation: the case of 4-ethylresorcinol.

Authors:  S Fili; A Valmas; M Norrman; G Schluckebier; D Beckers; T Degen; J Wright; A Fitch; F Gozzo; A E Giannopoulou; F Karavassili; I Margiolaki
Journal:  IUCrJ       Date:  2015-08-04       Impact factor: 4.769

4.  Identification of N-Terminally Truncated Derivatives of Insulin Analogs Formed in Pharmaceutical Formulations.

Authors:  Joanna Zielińska; Jacek Stadnik; Anna Bierczyńska-Krzysik; Dorota Stadnik
Journal:  Pharm Res       Date:  2018-05-16       Impact factor: 4.200

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.