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Amare Desalegn Wolide
Researcher at College of Health Sciences, Bahrain
Publications - 6
Citations - 83
Amare Desalegn Wolide is an academic researcher from College of Health Sciences, Bahrain. The author has contributed to research in topics: Gene & Medicine. The author has an hindex of 3, co-authored 3 publications receiving 53 citations.
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Burden and associated factors of anemia among pregnant women attending antenatal care in southern Ethiopia: cross sectional study
TL;DR: Residence, ANC follow up, history of excess menstrual bleeding and interpregnancy interval were statistically associated with anemia among the pregnant women, and working in the identified gaps could reduce the current burden of anemiaamong pregnant women in the study area.
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Association of trace metal elements with lipid profiles in type 2 diabetes mellitus patients: a cross sectional study
TL;DR: A negative correlation was observed between trace metal elements and lipid profile (TC, LDL-C and TG) among type 2 diabetes mellitus patients and Ca+2 observed to be associated with TG.
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Association between thyroid hormone parameters and dyslipidemia among type 2 diabetes mellitus patients: Comparative cross-sectional study
TL;DR: T2DM study subjects had significantly higher lipid level than nondiabetic and it was identified that TSH was positively associated with serum TG and BMI among T1DM study participants.
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Skeletal muscle and intermuscular adipose tissue gene expression profiling identifies new biomarkers with prognostic significance for insulin resistance progression and intervention response
Dominik Lutter,Stephan Sachs,Marc Walter,Anna Kerege,Leigh Perreault,Darcy E. Kahn,Amare Desalegn Wolide,Maximilian Kleinert,Bryan C. Bergman,Susanna M. Hofmann +9 more
TL;DR: In this paper , the authors used gene expression profiles from a cross-sectional study to identify potential candidate genes for the prediction of diabetes risk and intervention response and found that genes with a strong association with clinical measures clustered into three distinct expression patterns.
Skeletal muscle and intermuscular adipose tissue gene expression profiling identifies new 1 biomarkers with prognostic significance for insulin resistance progression and intervention 2 response 3
Dominik Lutter,Stephan Sachs,Marc Walter,Anna Kerege,Leigh Perreault,5. DarcyE,Kahn,Amare Desalegn Wolide,Maximilian Kleinert,Bryan C. Bergman,Susanna M. Hofmann +10 more
TL;DR: The results confirm that disease progression and a successful intervention depend on individual genetics and may lead to a better understanding and prediction of the individual diabetes risk and may help to develop individualized intervention strategies.