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<title>Researches and Scientific Papers البحوث والأوراق العلمية</title>
<link>http://http://repository.ush.edu.sd:8080/xmlui/handle/123456789/209</link>
<description/>
<pubDate>Sun, 11 Oct 2026 22:26:10 GMT</pubDate>
<dc:date>2026-10-11T22:26:10Z</dc:date>
<item>
<title>AEROBIC AND RESISTANCE TRAINING SHOW DIVERGENT ASSOCIATIONS WITH  INSULIN SENSITIVITY AND SHORT-TERM GLYCEMIC EXPOSURE IN PREDIABETES:  A CROSS-SECTIONAL STUDY</title>
<link>http://http://repository.ush.edu.sd:8080/xmlui/handle/123456789/1161</link>
<description>AEROBIC AND RESISTANCE TRAINING SHOW DIVERGENT ASSOCIATIONS WITH  INSULIN SENSITIVITY AND SHORT-TERM GLYCEMIC EXPOSURE IN PREDIABETES:  A CROSS-SECTIONAL STUDY
Abrar Ghalib1, Alaa Mohammed Mahmoud Qasem; Abdelgadir Elamin, Ahmed L. Osman; Mutaz Ibrahim Hassan, Ellen Safadi; Gulandom Shodikulova, Ikromi Turakhon Sharbat; Bobokalonzoda Jamoliddin Murodali, Namoz Mavlonov Xalimovich; Maxmudjon Butaboyev, Marwan Ismail
ackground: Prediabetes is a reversible condition where &#13;
lifestyle changes can prevent type 2 diabetes. While physical &#13;
activity is crucial for management, traditional glycemic markers &#13;
like HbA1c may not adequately reflect short-term exercise &#13;
effects. Serum fructosamine, indicating average blood sugar &#13;
levels over 1-3 weeks, is a more responsive biomarker but is &#13;
under-researched in prediabetic populations, especially in the &#13;
Gulf region.&#13;
Aim: To evaluate the association between regular physical &#13;
activity and short-term glycemic control, indexed by serum &#13;
fructosamine, in adults with prediabetes, and to examine &#13;
whether exercise modality (aerobic, resistance, or combined) &#13;
differentially influences short-term and long-term glycemic &#13;
indices, body composition, and insulin sensitivity.&#13;
Methods: A cross-sectional analytical study at Thumbay &#13;
Hospital and Thumbay Laboratories in Ajman, UAE, was &#13;
conducted from November 2025 to April 2026, involving &#13;
78 adults aged 18–65 with prediabetes. Participants were &#13;
stratified by physical activity levels using the IPAQ-SF. Various &#13;
measurements, including anthropometric indices, fasting &#13;
plasma glucose, HbA1c, fasting insulin, HOMA-IR, and serum &#13;
fructosamine, were taken under standardized conditions. The &#13;
Hemoglobin Glycation Index (HGI) was calculated based on &#13;
the difference between observed and predicted HbA1c levels. &#13;
Statistical analyses included Mann–Whitney U and Kruskal&#13;
Wallis tests for between-group comparisons and Spearman's &#13;
coefficient for correlations, with a significance level set at p &lt; &#13;
0.05. &#13;
Results: The study described a predominantly male (73.1%) &#13;
and middle-aged cohort, with 82.1% classified as overweight &#13;
or obese. Participants were 44.9% active and 55.1% sedentary, &#13;
with no significant differences in fasting glucose, insulin, &#13;
HOMA-IR, HbA1c, fructosamine, or BMI between the two &#13;
groups. Within the active subgroup, aerobic exercisers (n = 13) &#13;
had the lowest median BMI (25.7 kg/m²) and fasting insulin &#13;
but the highest fructosamine levels. However, these differences &#13;
diminished in multivariable regression models, indicating that &#13;
male sex and BMI were key determinants of fasting insulin and &#13;
HOMA-IR. Sedentary status was linked to higher HbA1c, while &#13;
age correlated with higher fructosamine.&#13;
Conclusions: Self-reported physical activity did not affect &#13;
glycemic outcomes in prediabetics, probably owing to &#13;
misclassification and limited exercise benefits. Despite the short &#13;
sample size, exploratory analysis suggested that aerobic exercise &#13;
may improve insulin sensitivity and body composition while &#13;
resistance training may improve glycemic exposure. Combining &#13;
exercise may be beneficial, requiring additional study. In &#13;
equivocal HbA1c findings, short-term glycemic indicators are &#13;
important, but the absence of serum albumin measurement &#13;
and albumin adjustment for fructosamine in exercise group &#13;
comparisons limits interpretations.&#13;
Keywords. Prediabetes, physical activity, exercise modality, &#13;
fructosamine, HbA1c, HOMA-IR, hemoglobin glycation index, &#13;
short-term glycemic control, United Arab Emirates.
</description>
<pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://http://repository.ush.edu.sd:8080/xmlui/handle/123456789/1161</guid>
<dc:date>2026-04-01T00:00:00Z</dc:date>
</item>
<item>
<title>Physical Activity, Myokine–Adipokine Signatures  and Haemoglobin Glycation Index in Adults with  Type 2 Diabetes</title>
<link>http://http://repository.ush.edu.sd:8080/xmlui/handle/123456789/1160</link>
<description>Physical Activity, Myokine–Adipokine Signatures  and Haemoglobin Glycation Index in Adults with  Type 2 Diabetes
Marwan Ismail; Mutaz Ibrahim Hassan; Akhtamova Shahzoda Fozilovna; Namoz Xalimovich Mavlonov; Nuriddin Nuritdinov; Elmotaz Abdelfatah
Background: The Hemoglobin Glycation Index (HGI) reflects variability in hemoglobin glycation beyond ambient glycaemia and is &#13;
a marker of metabolic heterogeneity, cardiovascular risk and treatment response in type 2 diabetes mellitus (T2DM). Whether &#13;
circulating myokines and adipokines are related to HGI, or whether relationships differ across exercise modalities, is unclear.&#13;
Objective: To examine associations of circulating myokines (irisin, myostatin, myonectin, IL-6, IL-15) and adipokines (leptin, &#13;
adiponectin) with HGI, and whether associations differ between physically active and sedentary individuals and across exercise &#13;
modalities.&#13;
Methods: Cross-sectional study of 185 adults with T2DM recruited at Thumbay Hospital, Ajman, United Arab Emirates, classified as &#13;
physically active (n=98) or sedentary (n=87), with active individuals sub-grouped by predominant modality: aerobic (70), resistance &#13;
(11), combined (17). Measurements were obtained after an overnight fast. HGI was calculated as the residual of HbA1c regressed on &#13;
fasting plasma glucose. Mann–Whitney U, Kruskal–Wallis, Spearman correlations with false discovery rate (FDR) correction and &#13;
median regression adjusted for age, sex, BMI and fasting glucose were used.&#13;
Results: Active participants had lower HGI than sedentary participants (median −0.44 vs 0.12; p = 0.001), with lower BMI, fasting &#13;
glucose and HbA1c. HGI differed by modality (p &lt; 0.001), most favourable in the combined-training group and least favourable in the &#13;
aerobic-only group. IL-6 was inversely correlated with HGI in active participants and leptin in sedentary participants (both FDR p &lt; &#13;
0.05). Physical activity remained an independent predictor of lower HGI after adjustment for age, sex and BMI (β = −0.65;p&lt; 0.001), &#13;
and persisted after adjustment for IL-15 and leptin.&#13;
Conclusion: Precludes causal inference; if confirmed prospectively, associations may inform individualized exercise prescription and &#13;
HGI-based risk stratification.&#13;
Distinct myokine–adipokine signatures were associated with glycation variability beyond mean glycaemia and combined aerobic- &#13;
plus-resistance training with the most favourable HGI profile. The cross-sectional design precludes causal inference; if confirmed &#13;
prospectively, associations may inform individualized exercise prescription and HGI-based risk stratification.&#13;
Keywords: type 2 diabetes, hemoglobin glycation index, myokines, adipokines, exercise modality
Background: The Hemoglobin Glycation Index (HGI) reflects variability in hemoglobin glycation beyond ambient glycaemia and is &#13;
a marker of metabolic heterogeneity, cardiovascular risk and treatment response in type 2 diabetes mellitus (T2DM). Whether &#13;
circulating myokines and adipokines are related to HGI, or whether relationships differ across exercise modalities, is unclear.&#13;
Objective: To examine associations of circulating myokines (irisin, myostatin, myonectin, IL-6, IL-15) and adipokines (leptin, &#13;
adiponectin) with HGI, and whether associations differ between physically active and sedentary individuals and across exercise &#13;
modalities.&#13;
Methods: Cross-sectional study of 185 adults with T2DM recruited at Thumbay Hospital, Ajman, United Arab Emirates, classified as &#13;
physically active (n=98) or sedentary (n=87), with active individuals sub-grouped by predominant modality: aerobic (70), resistance &#13;
(11), combined (17). Measurements were obtained after an overnight fast. HGI was calculated as the residual of HbA1c regressed on &#13;
fasting plasma glucose. Mann–Whitney U, Kruskal–Wallis, Spearman correlations with false discovery rate (FDR) correction and &#13;
median regression adjusted for age, sex, BMI and fasting glucose were used.&#13;
Results: Active participants had lower HGI than sedentary participants (median −0.44 vs 0.12; p = 0.001), with lower BMI, fasting &#13;
glucose and HbA1c. HGI differed by modality (p &lt; 0.001), most favourable in the combined-training group and least favourable in the &#13;
aerobic-only group. IL-6 was inversely correlated with HGI in active participants and leptin in sedentary participants (both FDR p &lt; &#13;
0.05). Physical activity remained an independent predictor of lower HGI after adjustment for age, sex and BMI (β = −0.65;p&lt; 0.001), &#13;
and persisted after adjustment for IL-15 and leptin.&#13;
Conclusion: Precludes causal inference; if confirmed prospectively, associations may inform individualized exercise prescription and &#13;
HGI-based risk stratification.&#13;
Distinct myokine–adipokine signatures were associated with glycation variability beyond mean glycaemia and combined aerobic- &#13;
plus-resistance training with the most favourable HGI profile. The cross-sectional design precludes causal inference; if confirmed &#13;
prospectively, associations may inform individualized exercise prescription and HGI-based risk stratification.&#13;
Keywords: type 2 diabetes, hemoglobin glycation index, myokines, adipokines, exercise modality
</description>
<pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://http://repository.ush.edu.sd:8080/xmlui/handle/123456789/1160</guid>
<dc:date>2026-06-06T00:00:00Z</dc:date>
</item>
<item>
<title>Platelet Parameters Assessment among Sudanese  Pregnant Women with Preeclampsia Attending Wad  Medani Obstetrics and Gynecology Teaching Hospital</title>
<link>http://http://repository.ush.edu.sd:8080/xmlui/handle/123456789/1159</link>
<description>Platelet Parameters Assessment among Sudanese  Pregnant Women with Preeclampsia Attending Wad  Medani Obstetrics and Gynecology Teaching Hospital
Ejlal Omer FadlElseed; Khalid Abdelsamea Mohamedahmed; Aboagala Mustafa  Mohamed; Muatez Ibrahim Hassan; Albadawi Abdebagi Talha
Background: Preeclampsia is considered as one of the major health problems associated with pregnancy and one of the causes of maternal &#13;
mortality. The pathogenesis of preeclampsia associated with platelets activation. Aims and Objectives: The aim of this study was to evaluate the &#13;
platelets parameters (platelet count and platelet indices) in pregnant women with preeclampsia. Design and Methods: This is a case-control &#13;
laboratory based study carried out in Wad Medani Obstetrics and Gynecology Teaching Hospital, Gezira State, Sudan from January to November &#13;
2020. A total of 50 pregnant women with preeclampsia as cases (32.20 ± 3.21 years) and 50 normotensive pregnant women as controls (30.68 ± &#13;
2.85 years) were participated in this study. Three ml of venous blood samples were collected from all participants in K3 EDTA containers. platelets &#13;
parameters (platelet count and platelet indices) were determined using Mindray BC 3000 Automated Hematology Analyzer. Data were analyzed &#13;
using SPSS computer program (version 22). Results: The study results showed that the thrombocytopenia account for 56 %, all cases with low PCT &#13;
(100%). Furthermore the means of PLTs count, PCT and PDW in cases were (144.40 ± 31.80 × 109/L, 0.13 ± 0.03 % and 15.80 ± 0.45 fl respectively) &#13;
versus controls (269.40 ± 72.50 × 109/L, 0.22 ± 0.05 % and 15.50 ± 0.29 fl respectively), giving statistically significant differences (P value = 0.000, &#13;
0.003 and 0.022 respectively). The mean of PCT of mild cases was lower than severe cases (P value = 0.004); but there were no significant &#13;
differences in PLTs count, MPV and PDW (P value = 0.379, 0.283 and 0.075 respectively). Conclusion: The study concluded that platelet count &#13;
(PLTs count) and plateletcrit (PCT) were significantly decreased in pregnant women with preeclampsia especially; so platelets parameters especially &#13;
(PLTs count and PCT) should be included for assessing and predication of the risk of severe preeclampsia.
Background: Preeclampsia is considered as one of the major health problems associated with pregnancy and one of the causes of maternal &#13;
mortality. The pathogenesis of preeclampsia associated with platelets activation. Aims and Objectives: The aim of this study was to evaluate the &#13;
platelets parameters (platelet count and platelet indices) in pregnant women with preeclampsia. Design and Methods: This is a case-control &#13;
laboratory based study carried out in Wad Medani Obstetrics and Gynecology Teaching Hospital, Gezira State, Sudan from January to November &#13;
2020. A total of 50 pregnant women with preeclampsia as cases (32.20 ± 3.21 years) and 50 normotensive pregnant women as controls (30.68 ± &#13;
2.85 years) were participated in this study. Three ml of venous blood samples were collected from all participants in K3 EDTA containers. platelets &#13;
parameters (platelet count and platelet indices) were determined using Mindray BC 3000 Automated Hematology Analyzer. Data were analyzed &#13;
using SPSS computer program (version 22). Results: The study results showed that the thrombocytopenia account for 56 %, all cases with low PCT &#13;
(100%). Furthermore the means of PLTs count, PCT and PDW in cases were (144.40 ± 31.80 × 109/L, 0.13 ± 0.03 % and 15.80 ± 0.45 fl respectively) &#13;
versus controls (269.40 ± 72.50 × 109/L, 0.22 ± 0.05 % and 15.50 ± 0.29 fl respectively), giving statistically significant differences (P value = 0.000, &#13;
0.003 and 0.022 respectively). The mean of PCT of mild cases was lower than severe cases (P value = 0.004); but there were no significant &#13;
differences in PLTs count, MPV and PDW (P value = 0.379, 0.283 and 0.075 respectively). Conclusion: The study concluded that platelet count &#13;
(PLTs count) and plateletcrit (PCT) were significantly decreased in pregnant women with preeclampsia especially; so platelets parameters especially &#13;
(PLTs count and PCT) should be included for assessing and predication of the risk of severe preeclampsia.
</description>
<pubDate>Tue, 01 Jun 2021 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://http://repository.ush.edu.sd:8080/xmlui/handle/123456789/1159</guid>
<dc:date>2021-06-01T00:00:00Z</dc:date>
</item>
<item>
<title>Ischemic Stroke and Prevalence of Atrial   Fibrillation at El-Mak Nimer Hospital, Shendi,  Sudan: A Cross-Sectional Study</title>
<link>http://http://repository.ush.edu.sd:8080/xmlui/handle/123456789/1116</link>
<description>Ischemic Stroke and Prevalence of Atrial   Fibrillation at El-Mak Nimer Hospital, Shendi,  Sudan: A Cross-Sectional Study
Imam Awadelkareim Imam, Motwakil; Mojahed  Babker  Mohamed  Saeid; Samah  Alameen  G  Wageealah; Fatima  Elamin A Elhaj; Azahir Yousif M Mansur; Tasneem Elteyeb Hadaby Elameen; and Ghanem Mohammed Mahjaf
Background: Atrial Fibrillation (AF) is one of the most common cardiac arrhythmias and is considered &#13;
an important risk factor for Ischemic Stroke, leading to increased morbidity, mortality, and poor clinical &#13;
outcomes. Early detection of AF in stroke patients may significantly improve prevention strategies and &#13;
clinical outcomes. &#13;
Objective: To determine the prevalence of atrial fibrillation among patients diagnosed with ischemic &#13;
stroke and to assess associated clinical characteristics, comorbidities, and anticoagulant use. &#13;
Methods: A hospital-based descriptive cross-sectional study was conducted at El-Mak Nimer Hospital from &#13;
June 6, 2022, to December 6, 2022. A total of 100 patients diagnosed with ischemic stroke were enrolled. &#13;
Data were collected using a structured questionnaire, medical records review, and electrocardiographic &#13;
findings. Statistical analysis was performed using IBM SPSS Statistics.&#13;
Results: Among the 100 ischemic stroke patients, 27% had atrial fibrillation, including 14% previously &#13;
diagnosed cases and 13% newly detected cases. AF was more common among females (74.0%) than &#13;
males (26.0%). The prevalence increased significantly with age, with 59.0% of AF cases occurring in &#13;
patients older than 75 years. Major associated comorbidities included hypertension (44%), diabetes &#13;
mellitus (55%), coronary heart disease (62%), and hypercholesterolemia (62%). Most AF patients were &#13;
receiving anticoagulant therapy, with 64.3% using novel oral anticoagulants and 35.7% using warfarin.&#13;
Conclusion: The prevalence of atrial fibrillation among ischemic stroke patients was relatively high. &#13;
Advanced age, female sex, hypertension, diabetes mellitus, and cardiovascular comorbidities were strongly &#13;
associated with AF. Routine screening for AF among stroke patients is essential for early diagnosis and &#13;
prevention of recurrent stroke.
</description>
<pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://http://repository.ush.edu.sd:8080/xmlui/handle/123456789/1116</guid>
<dc:date>2026-06-24T00:00:00Z</dc:date>
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