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<title>Department of Biochemistry</title>
<link>http://hdl.handle.net/123456789/251</link>
<description/>
<pubDate>Sat, 04 Apr 2026 10:46:14 GMT</pubDate>
<dc:date>2026-04-04T10:46:14Z</dc:date>
<item>
<title>ROLE OF INFLAMMATORY MARKER TNF-ALPHA AND  IL-6 IN PATHOGENESIS OF STROKE</title>
<link>http://hdl.handle.net/123456789/20707</link>
<description>ROLE OF INFLAMMATORY MARKER TNF-ALPHA AND  IL-6 IN PATHOGENESIS OF STROKE
MADIHA SHAKEEL  ROLL NO: 06-116212-005
Ischemic stroke (IS) is a leading cause of disability and mortality worldwide, &#13;
disproportionately affecting populations in low- and middle-income countries (LMICs) &#13;
such as Pakistan. Despite advances in diagnostics and therapeutics, the roles of &#13;
inflammatory cytokines—particularly tumor necrosis factor-alpha (TNF-α) and &#13;
interleukin-6 (IL-6)—in the pathophysiology of IS remain incompletely understood. These &#13;
cytokines are central to the neuroinflammatory cascade, influencing immune activation, &#13;
neuronal survival, endothelial dysfunction, coagulation, and blood–brain barrier (BBB) &#13;
integrity, with dual effects of exacerbating injury and promoting recovery. &#13;
This observational case–control study aimed to evaluate serum TNF-α and IL-6 levels in &#13;
patients with IS and compare them with individuals having dyslipidemia and healthy &#13;
controls. A total of 210 participants were recruited and equally stratified into three groups &#13;
(n = 70). ELISA findings demonstrated significantly higher levels of IL-6 in the stroke &#13;
patients than in controls (p &lt; 0.001), yet no group differences for TNF-α. Nonetheless, the &#13;
correlation between TNF-α and IL-6 was highly positive (R² &gt; 0.65), and this may imply &#13;
that the cytokines share overlapping functions within neuroinflammatory mechanisms. &#13;
Findings show IL-6 to be employed as a more stable biomarker of stroke severity while &#13;
TNF-α can be an early but short-term responder. Elevated levels of cytokines were also &#13;
reported to be related to modifiable risk factors such as obesity, hypertension, diabetes, and &#13;
lifestyle and to the overall social determinants of socioeconomic status. &#13;
viii &#13;
These findings highlight the prognostic significance of IL-6 in IS and validate the merit of &#13;
including inflammatory biomarkers in clinical risk scores. Cytokine imbalance modulation &#13;
with immunomodulatory intervention could provide novel therapeutic options to minimize &#13;
stroke morbidity and mortality, especially for LMIC patients.
Supervised by Prof. Dr. Mehreen Lateef
</description>
<pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/20707</guid>
<dc:date>2025-12-01T00:00:00Z</dc:date>
</item>
<item>
<title>ASSOCIATION OF VITAMIN D AND ZINC WITH INFLAMMATORY MARKERS AND OXIDATIVE STRESS IN MIGRAINE PATIENTS</title>
<link>http://hdl.handle.net/123456789/18862</link>
<description>ASSOCIATION OF VITAMIN D AND ZINC WITH INFLAMMATORY MARKERS AND OXIDATIVE STRESS IN MIGRAINE PATIENTS
DR AIMEN GULL  06-116222-002
Migraine is the most common neurological condition seen in primary care. Globally its &#13;
affects 2% of population (out of which 1.5% are female and 0.5% are male). Migraine is an &#13;
episodic and complex sensory processing disorder characterized by a range of symptoms, &#13;
with headache being the hallmark feature, typically localized to one side of the head. &#13;
Numerous studies have investigated the role of biochemical parameters in migraines to &#13;
establish a clear cause-and-effect relationship. This study is an attempt to contribute towards &#13;
studies that are trying to establish exact cause for prevalence of migraine. The objectives of &#13;
the study were to compare the biochemical parameters such as Vitamin D, Zinc, IL-10, IFN Gamma, CRP, SOD &amp; MDA. This was a case control study and ethical approval was taken &#13;
from Bahria University Health Sciences Karachi (BUHSCK). Migraine patients between age &#13;
20-40 years were included in cases and healthy participants were included in controls. The &#13;
calculated sample size of 246 subjects were divided into two groups, out which 123 were &#13;
cases and 123 were controls. Venous blood sample was taken for measuring different &#13;
parameters like Vitamin D, Zinc, IL-10, IFN- Gamma, CRP, SOD &amp; MDA. The obtained &#13;
results were statistically analyzed by SPSS version 23. Descriptive statistics were presented &#13;
in terms of frequency with percentages and mean with standard deviation and Median with &#13;
Interquartile range (IQR). Independent sample t-test was used to compare the mean of &#13;
baseline characteristics of controls and migraine patients. Mann Whitney U test was used to &#13;
compare the median of skewed and not normally distributed parameters between two study &#13;
groups. Pearson Correlation was used to check the relationship. Binary Logistic regression &#13;
analysis was used to estimate the risk estimation of migraine. P-values less than 0.05 were &#13;
considered statistically significant. The mean comparison of baseline characteristics between &#13;
controls and migraine patients, in control group mean Age (years) was 33.6±4.7, mean BMI &#13;
(kg/m2) was 27.7±5.1, mean SBP was 122.2±9, mean DBP was 81.8±4.4, mean &#13;
Temperature was 98.1±0.2, whereas in migraine patients mean Age (years) was33.2±4.6, &#13;
mean BMI (kg/m2) was 28.4±4.8, mean SBP was 121.5±10, mean DBP was 81.9±4.7, &#13;
mean Temperature was 98±0.1, Independent sample t-test showed significant mean &#13;
difference in temperature between controls and migraine patients (p=0.027), all other&#13;
viii&#13;
characteristics were found statistically insignificant (p&gt;0.05). The comparison results of &#13;
Vitamin D, Zinc, SOD and MDA between controls and migraine patients, showed in control &#13;
group samples median for Vitamin D (ng/ml) was 14(IQR=7), median for Zinc (μg/dL) was &#13;
88(IQR=11), median for SOD (nm/ml) was 41(IQR=29), and median for MDA (U/mL) was &#13;
2(IQR=1), whereas in migraine patients median for Vitamin D (ng/ml) was 20(IQR=15), &#13;
median for Zinc (μg/dL) was 65(IQR=7) median for SOD (nm/ml) was 10(IQR=4), and &#13;
median for MDA (U/mL) was 4(IQR=1). Mann Whitney U test gave significant difference &#13;
in the median of vitamin D, Zinc, SOD, and MDA between controls and migraine patients &#13;
(p&lt;0.01). The comparison of CRP, IL-10 and IFN Gamma between control and migraine &#13;
patients, results showed among controls median for CRP level (mg/dL) was 1(IQR=2), &#13;
median for IL-10 level (pgm/ml) was 301(IQR=1313), and median for IFN gamma (ngm/ml) &#13;
was 141(IQR=203), whereas in migraine patients median for CRP level (mg/dL) was &#13;
2(IQR=4), median for IL-10 level (pgm/ml) was 243(IQR=114), and median for IFN gamma &#13;
(ngm/ml) was 63(IQR=108). Mann Whitney U test gave significant difference in the CRP &#13;
levels, IL-10 and IFN gamma between controls and Migraine with p&lt;0.05. Our study &#13;
concludes that migraine patients exhibit deficiencies in vitamin D and zinc, accompanied by &#13;
reduced superoxide dismutase (SOD) levels and elevated malondialdehyde (MDA), &#13;
indicating a role for oxidative stress in migraine pathogenesis. Increased CRP levels, along &#13;
with reduced IFN-gamma and IL-10, point to a complex inflammatory response. The &#13;
relationship between these biomarkers suggests that vitamin D and zinc deficiencies may &#13;
exacerbate oxidative stress and inflammation, leading to neuronal damage and enhanced &#13;
vasodilation, thus contributing to migraine development. These novel insights will aid &#13;
healthcare professionals in refining the management approaches, allowing for targeted &#13;
treatments that address underlying nutritional deficiencies, oxidative stress, and &#13;
inflammation in migraine patients
Supervised by Dr,Sana Ahmad
</description>
<pubDate>Tue, 01 Oct 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/18862</guid>
<dc:date>2024-10-01T00:00:00Z</dc:date>
</item>
<item>
<title>ASSOCIATION OF EGF GENE POLYMORPHISM  rs4444903 WITH DIABETIC FOOT ULCE</title>
<link>http://hdl.handle.net/123456789/18861</link>
<description>ASSOCIATION OF EGF GENE POLYMORPHISM  rs4444903 WITH DIABETIC FOOT ULCE
DR. FAIZZA RASHEED 06-116222-001
The most common and debilitating complication associated with type 2 diabetes &#13;
mellitus (T2D) is diabetic foot ulcer (DFU), which can increase morbidity, amputation, &#13;
and the burden on the health system. It begins with a loss of sensory, motor, and &#13;
autonomic neural functions, leading to amputation and gangrene. Recent advancements &#13;
suggest that growth factors significantly contribute to the development of diabetic foot &#13;
ulcers in diabetic patients. Epidermal growth factor (EGF) is a highly dynamic cytokine &#13;
that is primarily involved in wound healing as well as tissue reconstruction after injury. &#13;
EGF gene polymorphism may provide a vision for the molecular mechanism of DFU &#13;
onset. The goal of this study was to find out the role of EGF gene polymorphism &#13;
rs4444903 (+61 A&gt;G) with the pathogenesis of diabetic foot ulcer (DFU). This study &#13;
may enhance treatment strategies, potentially reducing DFU morbidity and recurrence. &#13;
The case-control-based study divided the subjects into two groups. Cases with DFU (n &#13;
= 58) and controls with T2D (n = 116). The subjects were diagnosed cases DM, and &#13;
DFU, were assessed using the SINBAD classification. The Tetra Primers Amplification &#13;
Refractory Mutation System-PCR technique was applied for the amplification and &#13;
detection of different alleles of EGF gene polymorphism. The Chi square test was used &#13;
for analysis, which showed EGF SNP rs4444903 was not statistically significant with &#13;
progression of DFU (p = 0.426). The odds ratio values at p 0.426 suggest that EGF&#13;
polymorphism is not significantly associated with the DFU but may still increase a risk.&#13;
The association of genotypes were analyzed by applying genotype models which &#13;
confirms that the heterozygous variant AG genotype in over-dominant model is&#13;
statistically significant confirming the risk factor for diagnosis of disease, AG+GG in &#13;
viii&#13;
dominant models is not statistically significant, GG in recessive model may play a &#13;
protective role and it’s the mutant genotype, whereas AG and GG in codominant model &#13;
are statistically significant and is associated with diagnosing DFU.
Supervised by Prof. Dr. Mehreen Lateef
</description>
<pubDate>Tue, 01 Oct 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/18861</guid>
<dc:date>2024-10-01T00:00:00Z</dc:date>
</item>
<item>
<title>CORRELATION OF XENIN WITH  INHERITANCE AND EXISTENCE OF  POLYCYSTIC OVARY SYNDROME IN  FERTILE WOMEN</title>
<link>http://hdl.handle.net/123456789/16866</link>
<description>CORRELATION OF XENIN WITH  INHERITANCE AND EXISTENCE OF  POLYCYSTIC OVARY SYNDROME IN  FERTILE WOMEN
DR MISBAH RIAZ  (06-116212-004)
Polycystic Ovary Syndrome (PCOS) is a condition in which numerous &#13;
small cysts are formed in the ovaries of a woman resulting in an increased production of &#13;
androgens (male sex hormones). National health services (NHS) has reported a few &#13;
common symptoms like oily skin, weight gain, complications in conceiving and irregular&#13;
periods. In most cases, it shows irregular hair growth on different areas such as the chest, &#13;
face and back. Studies have revealed that the main causes or factors that resulted in PCOS &#13;
prevalence are still unknown. South Asian women, especially Pakistani women, suffers &#13;
more from PCOS (around 52%) as compared to white population in UK (20 - 25%). This &#13;
study is an attempt to contribute towards research/ studies that are trying to establish exact &#13;
cause for prevalence of PCOS. The objectives of the study were to compare the &#13;
biochemical parameters and plasma xenin levels in PCOS diagnosed group, probable &#13;
group and control group. This was a case control study. All women between age 15 - 45 &#13;
years who fulfilled the inclusion criteria were included. The calculated sample size of 105 &#13;
subjects were divided into three separate study groups (control group, PCOS diagnosed &#13;
patients and probable group). Venous blood sample was taken for measuring different&#13;
parameters like FSH, LH, Prolactin, Testosterone, Fasting blood sugar, Fasting Insulin, &#13;
HbA1c and serum Xenin after taking ethical approval from Bahria University Health &#13;
Sciences Karachi (BUHSCK). Ultrasound pelvis was done. For statistical analysis SPSS &#13;
v26 was used. Descriptive statistics were presented in terms of frequency with &#13;
percentages and mean with standard deviation. ANOA was applied for mean comparison. &#13;
Cut off values were identified using ROC curve. The P value &lt;0.05 was considered as&#13;
statistically significant. Mean age for cases, controls and probable group was 30.82±6.60 &#13;
years, 27.88±6.43 years and 25.94±5.47years. BMI in cases, controls and probable group &#13;
was 30.91±5.66 kg/m2, 22.69±5.07kg/m2 and 26.08±7.36 kg/m2. Serum FSH in cases, &#13;
controls and probable groups were 5.68±1.23mIU/ml, 7.59±0.97mIU/ml and 6.56±0.80 &#13;
mIU/ml S. LH in cases, controls and probable group were 11.35±1.87mIU/ml, &#13;
10.19±1.44mIU/ml and 10.70±1.22mIU/ml. Serum LH : FSH was 2.02±0.23, 1.34±0.11&#13;
and 1.64±0.18 respectively. Serum Testosterone (nmol/L) was 1.20±0.42, 0.78±0.45 and&#13;
vii&#13;
1.02±0.33. Serum prolactin (μg/L) in cases, control and probable group was 24.40±9.50, &#13;
15.34±3.07 and 17.93±4.18. Fasting blood sugar (nmol/L) was 5.55±0.91, 4.98±0.40 and &#13;
4.76±0.38 respectively. Fasting insulin levels (mIU/L) were 11.63±5.65, 5.85±2.91 and &#13;
7.85±4.19. HbA1c was 5.54±0.78, 5.09±0.39 and 4.94±0.31 respectively. Mean serum &#13;
xenin was 31.25±2.86 pg/ml in cases, 23.58±3.36 pg/ml in controls and 26.93±3.94 pg/ml &#13;
in probable with significant mean difference (p=0.000). By ROC Curve, Cut offs values &#13;
of serum xenin was 27.18 (Sen=82.9%), 27.41(Sen=82.9%) and 27.96(Sen=82.9%) for &#13;
cases while the cut offs values for serum xenin for proable group was 22.93(sen=82.9%) &#13;
and 23.01(sen=80%). Increase levels of Xenin were found in cases and probable group &#13;
than controls
Supervised by Prof,Dr.Hassan Ali
</description>
<pubDate>Sun, 01 Oct 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/123456789/16866</guid>
<dc:date>2023-10-01T00:00:00Z</dc:date>
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