Literature DB >> 12898973

Type 2 diabetes mellitus--a multifactorial disease.

Torben Hansen1.   

Abstract

Type 2 diabetes is a multifactorial disease caused by both oligo- and polygenic genetic factors as well as non-genetic factors that result from a lack of balance between the energy intake and output and other life style related factors. ADA and WHO have recently reclassified diabetes on both clinical stages and aetiological grounds. There is a lot of data related to the genetics of type 2 diabetes. However, many genes and gene products as well as their interactions with the environment at the molecular, cellular, tissue, and the whole organism levels are still unknown. Changes in the frequency of diabetes occurrence in various urban and rural populations and ethnic groups prove the relationship with the transition to the 'western' life style. Understanding of diabetes pathogenesis is essential to the development of new methods of treatment and strategies of effective prevention of this disease.

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Year:  2002        PMID: 12898973

Source DB:  PubMed          Journal:  Ann Univ Mariae Curie Sklodowska Med        ISSN: 0066-2240


  9 in total

Review 1.  Nanoformulation of Plant-Based Natural Products for Type 2 Diabetes Mellitus: From Formulation Design to Therapeutic Applications.

Authors:  Akurange Sujeevi Dammadinna Wickramasinghe; Pabasara Kalansuriya; Anoja Priyadarshani Attanayake
Journal:  Curr Ther Res Clin Exp       Date:  2022-04-21

2.  Comparison of Diabetes Mellitus Risk Factors in Mexico in 2003 and 2014.

Authors:  Guillermo F López Sánchez; Rubén López-Bueno; Carlos Villaseñor-Mora; Shahina Pardhan
Journal:  Front Nutr       Date:  2022-06-30

Review 3.  Tear Levels of IGFBP-3: A Potential Biomarker for Diabetic Nerve Changes in the Cornea.

Authors:  Whitney L Stuard; Rossella Titone; Danielle M Robertson
Journal:  Eye Contact Lens       Date:  2020-09       Impact factor: 2.018

4.  Hsp90β knockdown in DIO mice reverses insulin resistance and improves glucose tolerance.

Authors:  Enxuan Jing; Pragalath Sundararajan; Ishita Deb Majumdar; Suwagmani Hazarika; Samantha Fowler; Angela Szeto; Stephane Gesta; Armando J Mendez; Vivek K Vishnudas; Rangaprasad Sarangarajan; Niven R Narain
Journal:  Nutr Metab (Lond)       Date:  2018-02-02       Impact factor: 4.169

5.  A genetic analysis identifies a haplotype at adiponectin locus: Association with obesity and type 2 diabetes.

Authors:  Roma Patel; Shahnawaz D Jadeja; Sayantani Pramanik Palit; Nirali Rathwa; Ankit Mahajan; A V Ramachandran; Manoj K Dhar; Swarkar Sharma; Rasheedunnisa Begum
Journal:  Sci Rep       Date:  2020-02-19       Impact factor: 4.379

6.  Use and performance of machine learning models for type 2 diabetes prediction in clinical and community care settings: Protocol for a systematic review and meta-analysis of predictive modeling studies.

Authors:  Kushan De Silva; Joanne Enticott; Christopher Barton; Andrew Forbes; Sajal Saha; Rujuta Nikam
Journal:  Digit Health       Date:  2021-09-28

7.  Obesity needs to be addressed to tackle the increased prevalence of diabetes in China - Temporal changes from 2003 to 2009.

Authors:  Shahina Pardhan; Dingchang Zheng; Zhiqing Chen; Guillermo F López Sánchez
Journal:  Prev Med Rep       Date:  2021-10-25

8.  Polygenic Prediction of Type 2 Diabetes in Africa.

Authors:  Tinashe Chikowore; Kenneth Ekoru; Marijana Vujkovi; Dipender Gill; Fraser Pirie; Elizabeth Young; Manjinder S Sandhu; Mark McCarthy; Charles Rotimi; Adebowale Adeyemo; Ayesha Motala; Segun Fatumo
Journal:  Diabetes Care       Date:  2022-03-01       Impact factor: 19.112

9.  The effect of FADS2 gene rs174583 polymorphism on desaturase activities, fatty acid profile, insulin resistance, biochemical indices, and incidence of type 2 diabetes.

Authors:  Leila Mazoochian; Hamid Mir Mohammad Sadeghi; Morteza Pourfarzam
Journal:  J Res Med Sci       Date:  2018-05-30       Impact factor: 1.852

  9 in total

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