Wondyefraw Mekonen

Dr. Wondyefraw Mekonen


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
Verified
Journal Article
Open access
PDF file
WMWondyefraw Mekonen
Wondyefraw Mekonen
GSGünther Schwaberger
Günther Schwaberger
MLManfred Lamprecht
Manfred Lamprecht
Peter HofmannPeter Hofmann
Peter Hofmann
Contrary to carbohydrate and fat metabolism, the influence of a single exercise dose on protein metabolism has not been adequately explored yet. We assessed the effects of different exercise intensities and durations on blood protein changes and their association with carbohydrate (CHO) and fat metabolism in six eligible trained subjects. Subjects performed maximal incremental (IE100: at 100%VO2max) and submaximal continuous exercise (CE) at 75%VO2max for 30 min (CE75) and at 50%VO2max for 90 min (CE50). Blood samples were collected at rest (R), end of exercise (EE), and 1 h after recovery to assess blood urea nitrogen (BUN), plasma amino acids (AA), glucose, lactate, FFA, and glycerol. In IE100 blood lactate, CHO-oxidation (g/min), energy expenditure (kcal/min), and RER were significantly increased during rest (p < 0.05). CE50 induced significantly higher BUN, FFA, glycerol, and fat oxidation (g/min) (p < 0.05). At recovery, the mean sum of the free AA pool (µmol/L) reduced by 8% (p < 0.03) during CE50. Values for CE75 were between IE100 and CE50. Beside lipolysis, also proteolysis (BUN) was an important source of fuel for low-to-moderate intensity CE50. An increased uptake of AA from the plasma bed during CE50 suggests the importance for oxidation and synthesis of other metabolic sources such as gluconeogenesis necessary for recovery. Therefore, one needs to be cautious of protein diet following prolonged cycle exercise training.

3 August 2023 in Research Square
Verified
Preprint
Open access
PDF file
AWAbraha-G Woldemariam
Abraha-G Woldemariam
ATAsgele Tsehaye
Asgele Tsehaye
WMWondyefraw Mekonen
Wondyefraw Mekonen
MZMebratom Zeru
Mebratom Zeru
AHAbel Hagos
Abel Hagos
GTGuesh Teklu
Guesh Teklu
Background: anemia is becoming a public health problem particularly among people suffering from different types of cancer. Objective: the aim of this study was to assess the prevalence and associated factors of anemia among people with cancer. Methods: an institution based cross-sectional study was conducted from January to June 2020 in ACSH, Tigray, Ethiopia. Medical records were systematically reviewed to get demographic and clinical characteristics of 72 study subjects. Data were entered to SPSSv25 and descriptive analysis, logistic regression, independent sample T test and ANOVA were used for analysis. Results: about 45.8% of study subjects with different types of cancer were found to have anemia. Unemployment (OR=2.167; 95%CI: 1.093, 4.294; p=0.027), rural residence (OR = 3.750; 95%CI: 1.245, 11.299; p= 0.019), advanced stages of cancer (OR = 10.771; 95%CI: 3.580, 32.405; p= 0.000), duration of cancer (OR=3.542; 95%CI: 1.289, 9.728; p=0.014) and higher (5-8) cycles of chemotherapy (OR = 3.000; 95%CI: 1.090, 8.254; p=0.033) were variables found to have statistically significant association with anemia. Conclusion: anemia is a common complication in patients with different types of cancer. Occupation, residence, duration of cancer, stage of caner, chemotherapy, and cycles of chemotherapy significantly increased the prevalence of anemia in cancer patients.