Results 41 to 50 of about 105,968 (369)

Network biomarkers, interaction networks and dynamical network biomarkers in respiratory diseases

Clinical and Translational Medicine, 2014
Identification and validation of interaction networks and network biomarkers have become more critical and important in the development of disease‐specific biomarkers, which are functionally changed during disease development, progression or treatment ...
Xiaodan Wu, Luonan Chen, Xiangdong Wang
doaj   +1 more source

Heterogeneity in the association between prediabetes categories and reduction on glomerular filtration rate in a 5-year follow-up

Scientific Reports, 2022
Prediabetes and not just diabetes can cause kidney damage. This study assess the association of prediabetes with development of impaired renal function (IRF).
Marjan Manouchehri, Lucía Cea-Soriano, Josep Franch-Nadal, Antonio Ruiz, Albert Goday, Rosa Villanueva, Javier Diez-Espino, Manel Mata-Cases, Carolina Giraldez-García, Enrique Regidor, The PREDAPS Study Group   +10 more
doaj   +1 more source

What's in a Name? Classification of Diabetes Mellitus in Veterinary Medicine and Why It Matters [PDF]

, 2016
Diabetes Mellitus (DM) is a syndrome caused by various etiologies. The clinical manifestations of DM are not indicative of the cause of the disease, but might be indicative of the stage and severity of the disease process.
Abdul-Rasoul, Agarwal, Ahlgren, Alejandro, American Diabetes Association, Anderson, Appleton, Atkins, Atkins, Batchelor, Belle, Bostrom, Brackeva, Brenner, Butler, Catchpole, Catchpole, Chiang, Concannon, Coppieters, Cui, Das, Davison, Davison, Davison, De Cock, Eigenmann, Fajans, Fall, Forcada, Forcada, Forsberg, Furrer, Gepts, Gilor, Gilor, Gilor, Girman, Goossens, Gostelow, Gottlieb, Guptill, Haines, Hall, Herold, Hess, Hewson-Hughes, Hoenig, Hoenig, Hoffmann, Holst, Hume, Imamura, Jensen, Kappe, Kennedy, Kenny, Kilpatrick, Kim, Kitamura, Klupa, Kramer, Kramer, Lem, Ling, Link, Lutz, Mattin, McDonald, Miceli, Michels, Neiger, Nelson, Nelson, Niessen, Niessen, Nishii, Orban, Panciera, Papa, Pietropaolo, Porte, Porte, Prahl, Prasad, Rand, Ranta, Reaven, Russell-Jones, Safra, Scudder, Shields, Slingerland, Solanki, Strage, Sun, Temple, Thomas, Vegiopoulos, Verkest, Watson, Watson, Williams, Xenoulis, Yang, Zini, Zini, Zini, Zini, Zini, Zini   +110 more
core   +3 more sources

Trends in Prediabetes and Non-Alcoholic Fatty Liver Disease Associated with Abdominal Obesity among Korean Children and Adolescents: Based on the Korea National Health and Nutrition Examination Survey between 2009 and 2018

Biomedicines, 2022
Investigations on the trends of prediabetes and non-alcoholic fatty liver disease (NAFLD) among children are scarce. We aimed to analyze the trends of prediabetes and NAFLD, as well as their association, among Korean children and adolescents from 2009 to
Kyungchul Song, Goeun Park, Hye Sun Lee, Myeongseob Lee, Hae In Lee, Jungmin Ahn, Eunbyoul Lee, Han Saem Choi, Junghwan Suh, Ahreum Kwon, Ho-Seong Kim, Hyun Wook Chae   +11 more
doaj   +1 more source

The Interaction Between Age and Risk Factors for Diabetes and Prediabetes: A Community-Based Cross-Sectional Study

Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy, 2023
Objective This study aimed to investigate the interaction between age groups and risk factors for diabetes and prediabetes in Shanghai communities and to identify the effect of age on other risk factors for diabetes and prediabetes.
Zihui Yan, M. Cai, Xu Han, Qingguang Chen, Hao Lu   +4 more
semanticscholar   +1 more source

Diabetes mellitus, prediabetes and the risk of Parkinson’s disease: a systematic review and meta-analysis of 15 cohort studies with 29.9 million participants and 86,345 cases

European Journal of Epidemiology, 2023
A diagnosis of diabetes mellitus and prediabetes has been associated with increased risk of Parkinson’s disease (PD) in several studies, but results have not been entirely consistent.
Nandkishor K. Mule, Jitendra N. Singh
semanticscholar   +1 more source

Nonlinear relationship between atherogenic index of plasma and the risk of prediabetes: a retrospective study based on Chinese adults

Cardiovascular Diabetology, 2023
Background The atherogenic index of plasma (AIP) can reflect the burden of atherosclerosis. Hyperglycemia is one of the leading causes of atherosclerosis. However, the relationship between AIP and prediabetes is rarely studied.
Xiao-Qin Zheng, Xin Zhang, Yong Han, Haofei Hu, C. Cao   +4 more
semanticscholar   +1 more source

Preferences and Adherence of People with Prediabetes for Disease Management and Treatment: A Systematic Review

Patient Preference and Adherence, 2023
Zonghao Ren, Xianpeng Xu, Rensong Yue Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, People’s Republic of ChinaCorrespondence: Rensong Yue, Email songrenyue@cdutcm.edu.cnObjective: To comprehensively
Ren Z, Xu X, Yue R
doaj  

Association between periodontitis and the prevalence and prognosis of prediabetes: a population-based study

Journal of Translational Medicine, 2023
Background Diagnosis and intervention of prediabetes is an emerging method for preventing diabetic progression and complications. Periodontitis has been reported to strongly correlate with the dysregulation of glucose metabolism.
Liao Tan, Jie Liu, Zhaoya Liu
doaj   +1 more source

A community-based prediabetes knowledge assessment among Saudi adults in Al-Ahsa region, 2018

Journal of Public Health Research, 2021
Background: Prediabetes has been considered to be a reversible condition; a modification of lifestyle and other intervention can be successfully applied during the prediabetes period to prevent the development of type 2 diabetes.
Essa AlSaleh, Morad Alnaser, Ali Alsalman, Abdullah ALRamdhan, Husein Alsalman, Ola Alhamrani, Alaa Alhamrani, Muntadher AlSaleh, Tahani AlEithan, Khawla AlArfaj, Hussain Al Sunayhir, Mujtaba AlSaleh   +11 more
doaj   +1 more source