Literature DB >> 23597390

An overview of valuable scientific models for diabetes mellitus.

Muhammad Sajid Hamid Akash1, Kanwal Rehman, Shuqing Chen.   

Abstract

Diabetes mellitus is one of the major clinical problems worldwide. Previously, most of the investigational studies for identification of disease and new therapies were based on animal studies; however, present research methods involve high throughput screening, molecular targeting, nanotechnology for recent discovery of drugs and disease identification to combat against hazardous diseases like diabetes mellitus. In this review, we have depicted outlines enfolding various disease-specific animal modeling, sensing technologies, biomarker analysis, and novel scientific techniques that could be helpful in exploring the impending strategies for diabetes detection and treatment. To conclude, we believe that endorsement and upgrading of such novel high throughput screening assays and nanotechnology described herein may surely represent a significant improvement in the capability for screening and identifying the population at elevated risk of expected diabetes. Thereby in future, appreciation of such investigational techniques and technologies including metabolomics and genetic screening may help in early prediction of diabetes in patients at risk and may display a significant improvement over the researchers conducted after the declaration of the disease.

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Year:  2013        PMID: 23597390     DOI: 10.2174/15733998113099990062

Source DB:  PubMed          Journal:  Curr Diabetes Rev        ISSN: 1573-3998


  14 in total

Review 1.  IL-1Ra and its delivery strategies: inserting the association in perspective.

Authors:  Muhammad Sajid Hamid Akash; Kanwal Rehman; Shuqing Chen
Journal:  Pharm Res       Date:  2013-06-22       Impact factor: 4.200

2.  EXPERIMENTAL INDUCTION OF TYPE 2 DIABETES MELLITUS AND THE EFFICIENCY OF BARIATRIC SURGERY IN ITS REVERSAL IN RATS.

Authors:  L D Hritcu; D Borcea; E Anton; S Morosan; S Pasca; C Trinca; M C Spataru; F D Petrariu; L C Burtan; A Ciobica; A Curpan; D Timofte
Journal:  Acta Endocrinol (Buchar)       Date:  2021 Apr-Jun       Impact factor: 0.877

3.  High glucose-induced ROS-accumulation in embryo-larval stages of zebrafish leads to mitochondria-mediated apoptosis.

Authors:  Yaoqi Li; Qianqian Chen; Yinai Liu; Liuliu Bi; Libo Jin; Ke Xu; Renyi Peng
Journal:  Apoptosis       Date:  2022-05-21       Impact factor: 5.561

Review 4.  The pathogenic role of persistent milk signaling in mTORC1- and milk-microRNA-driven type 2 diabetes mellitus.

Authors:  Bodo C Melnik
Journal:  Curr Diabetes Rev       Date:  2015

5.  Early versus later response to treatment in patients with community-acquired pneumonia: analysis of the REACH study.

Authors:  Francesco Blasi; Helmut Ostermann; Jill Racketa; Jesús Medina; Kyle McBride; Javier Garau
Journal:  Respir Res       Date:  2014-01-22

6.  Analgesic, anti-inflammatory and anti-pyretic activities of Caesalpinia decapetala.

Authors:  Amna Parveen; Muhammad Sajid Hamid Akash; Kanwal Rehman; Qaisar Mahmood; Muhammad Imran Qadir
Journal:  Bioimpacts       Date:  2014-04-10

7.  Blunted glucocorticoid and mineralocorticoid sensitivity to stress in people with diabetes.

Authors:  Livia A Carvalho; Livia Urbanova; Mark Hamer; Ruth A Hackett; Antonio I Lazzarino; Andrew Steptoe
Journal:  Psychoneuroendocrinology       Date:  2014-09-30       Impact factor: 4.905

8.  Evaluation of Non-Laboratory and Laboratory Prediction Models for Current and Future Diabetes Mellitus: A Cross-Sectional and Retrospective Cohort Study.

Authors:  Chang Ho Ahn; Ji Won Yoon; Seokyung Hahn; Min Kyong Moon; Kyong Soo Park; Young Min Cho
Journal:  PLoS One       Date:  2016-05-23       Impact factor: 3.240

Review 9.  Mechanisms of inflammatory responses and development of insulin resistance: how are they interlinked?

Authors:  Kanwal Rehman; Muhammad Sajid Hamid Akash
Journal:  J Biomed Sci       Date:  2016-12-03       Impact factor: 8.410

10.  The Integrative Human Microbiome Project: dynamic analysis of microbiome-host omics profiles during periods of human health and disease.

Authors: 
Journal:  Cell Host Microbe       Date:  2014-09-10       Impact factor: 31.316

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