Determination of IL-6 Gene Promoter Polymorphism in Patients with Hepatitis C and Its Impact on RNA Secondary Structure.

Background and Objectives: A polymorphism in the promoter region of the IL-6 gene would influence the level of IL-6 expression in patients with HCV, resulting in a pro-inflammatory response. Few studies have shown the association between -174G>C (rs1800795) and -1363G>T (rs2069827) polymorphisms and HCV infection, and their results have been contradictory. There are no data published in our population to study such an IL-6 stimulus against HCV infection and its impact on RNA secondary structure. Therefore, we isolated human subjects from the province of Punjab, Pakistan. The objective was to screen for IL-6 gene promoter polymorphisms -174G/C and -1363G/T and those correlated with serum concentrations of IL-6 in patients with HCV and compared with a control. Materials and Methods: In conventional PCR, measurement of serum IL-6 by CLIA and statistical analysis were performed to observe the genotype association studies. By integrating bioinformatics and computational tools, our study aimed to provide a comprehensive understanding of how variations in the promoter region of IL-6 may have functional implications on gene expression. Results: The -174G>C and -1363G>T genotypes in the promoter region of patients with HCV were in strong allelic association (Δ = 0.97, p < 0.001). Interestingly, the bioinformatics analysis was well aligned with our experimental data. Conclusions: Based on the data, it can be inferred that IL-6 gene promoter polymorphisms are important in the dysregulation of IL-6 levels in patients with HCV.

Role of HbA1c in diagnosis of gestational diabetes mellitus.

OBJECTIVE: To evaluate glycated haemoglobin as a biomarker for diagnosing gestational diabetes mellitus while keeping the oral glucose tolerance test as the gold standard. METHODS: The cross-sectional study was conducted from Januray, 2016, to January, 2018, at PNS Hafeez Hospital, Islamabad, Pakistan and comprised of pregnant subjects who were first subjected to 2-hour oral glucose tolerance test along with the first evaluation of glycated haemoglobin. Clinical evaluation, including history and measurements of anthropometric indices and blood pressure, were also done. On the basis of the results, the subjects were grouped as those having gestational diabetes mellitus (group A) and those without it (group B). Data was analysed using SPSS 15. RESULTS: Of the 280 subjects, gestational diabetes mellitus was found in 50(17.85%). Differences in glycated haemoglobin between the groups was significant (p<0.002). Glycated haemoglobin test provided sensitivity of 70% and specificity of 84.78%. CONCLUSIONS: With due adjustments, glycated haemoglobin testing can help in reducing the frequency of oral glucose tolerance test.

Friedewald's equation for calculating LDL-cholesterol: Is it the time to say "Goodbye" and adopt direct LDL cholesterol methods?

OBJECTIVES: To measure correlation and concordance between measured LDL cholesterol (mLDLc) and Friedewald's calculated LDL cholesterol (cLDLc). To compare the mLDLc and cLDLc values for various anthropometric measures and biochemical indices including insulin resistance, nephropathy, glycated hemoglobin and triglycerides. METHODS: Two hundred thirty two subjects were included in this cross-sectional analysis from Jan-2016 to July-2017 from a target population visiting PNS HAFEEZ hospital. Mean age of the subjects was 46.56(±11.95) years (n=232). These subjects underwent clinical evaluation including measurement of anthropometric measurements, biochemical testing for fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), lipid profile, urine albumin creatinine ratio (UACR), and insulin. Correlation and concordance between mLDLc and Friedewald's cLDLc were measured. Finally, Comparison of risk evaluation for mLDLc and cLDLc between groups formulated based upon UACR (Based upon a cut off of 2.5 mg/g) and fasting triglycerides (Group-1 :< 1.0 mmol/L, Group-2: 1.0-1.99 mmol/L and Group-3 :> 1.99 mmol/) was carried out. RESULTS: There was significant positive linear correlation between mLDLc and cLDLc [r=0.468, <0.001]. Kendall's Coefficient of concordance between mLDLc and cLDLc was 0.055 (p<0.001). Differences evaluated by one way ANOVA analysis for mLDLc between various triglycerides groups were only significant between group-1 and group-2 [{Group-1:Mean=2.40, (2.19-2.61), n=43}, {Group-2:Mean=2.81, (2.69-2.92), n=136}, [{Group-3:Mean=2.59,(2.37-2.81), n=53}],(p=0.004) in comparison to cLDLc [{Group-1:Mean=2.63, (2.43-2.84), n=43}, {Group-2:Mean=2.85, (2.76-2.93), n=136}, [{Group-3:Mean=2.75, (2.60-2.90), n=53}]. Calculated method for LDLc showed higher UACR than mLDLc. (p=0.021). CONCLUSION: cLDLc over estimates LDL-cholesterol in comparison to mLDLc. The correlation between cLDLc and mLDLc was only moderate. However, cLDLc provided better degree of risk prediction for nephropathy and glycated hemoglobin than mLDLc.

Metabolic clustering of risk factors: evaluation of Triglyceride-glucose index (TyG index) for evaluation of insulin resistance.

BACKGROUND: Metabolic syndrome over the years have structured definitions to classify an individual with the disease. Literature review suggests insulin résistance is hallmark of these metabolic clustering. While measuring insulin resistance directly or indirectly remains technically difficult in general practice, along with multiple stability issues for insulin, various indirect measures have been suggested by authorities. Fasting triglycerides-glucose (TyG) index is one such marker, which is recently been suggested as a useful diagnostic marker to predict metabolic syndrome. However, limited data is available on the subject with almost no literature from our region on the subject. OBJECTIVE: 1. To correlate TyG index with insulin resistance, anthropometric indices, small dense LDLc, HbA1c and nephropathy. 2. To evaluate TyG index as a marker to diagnose metabolic syndrome in comparison to other available markers. DESIGN-CROSS-SECTIONAL ANALYSIS: Place and duration of study-From Jun-2016 to July-2017 at PSS HAFEEZ hospital Islamabad. SUBJECTS AND METHODS: From a finally selected sample size of 227 male and female subjects we evaluated their anthropometric data, HbA1c, lipid profile including calculated sdLDLc, urine albumin creatinine raito(UACR) and insulin resistance (HOMAIR). TyG index was calculated using formula of Simental-Mendía LE et al. Aforementioned parameters were correlated with TyG index, differences between subjects with and without metabolic syndrome were calculated using Independent sample t-test. Finally ROC curve analysis was carried out to measure AUC for candidate parameters including TyG Index for comparison. RESULTS: TyG index in comparison to other markers like fasting triglycerides, HOMAIR, HDLc and non-HDLc demonstrated higher positive linear correlation with BMI, atherogenic dyslipidemia (sdLDLc), nephropathy (UACR), HbA1c and insulin resistance. TyG index showed significant differences between various markers among subjects with and without metabolic syndrome as per IDF criteria. AUC (Area Under Curve) demonstrated highest AUC for TyG as [(0.764, 95% CI 0.700-0.828, p-value ≤ 0.001)] followed by fasting triglycerides [(0.724, 95% CI 0.656-0.791, p-value ≤ 0.001)], sdLDLc [(0.695, 95% CI 0.626-0.763, p-value ≤ 0.001)], fasting plasma glucose [(0.686, 95% CI 0.616-0.756, p-value ≤ 0.001)], Non-HDLc [(0.640, 95% CI 0.626-0.763, p-value ≤ 0.001)] and HOMAIR [(0.619, 95% CI 0.545-0.694, p-value ≤ 0.001)]. CONCLUSION: TyG index, having the highest AUC in comparison to fasting glucose, triglycerides, sdLDLc, non-HDLc and HOMAIR can act as better marker for diagnosing metabolic syndrome.

Association of metabolic risks with subclinical hypothyroidism: A cross-sectional analysis.

OBJECTIVE: To compare lipid parameters, HbA1c, uric acid and albumin creatinine ratio (UACR) among subjects having euthyroidism, Sub-Clinical Hypothyroidism (SCH) and overt hypothyroidism. METHODS: This comparative cross-sectional analysis was carried out from Dec-2015 to Oct-2016 in collaboration between PNS HAFEEZ hospital and department of chemical pathology and endocrinology, Armed Forces Institute of Pathology, Rawalpindi. Biochemical parameters including lipid indices, HbA1c and UACR were compared between euthyroidism (TSH: 0.5 to 4.0 mIU/L, n=163), subclinical hypothyroidism (TSH: 4.0 to 10 mIU/L, n=16) and overt hypothyroidism (TSH:≥ 10.0 mIU/L, n=9). RESULTS: LDL-cholesterol, non-HDL-cholesterol and UACR results were as: [(Euthyroid: 2.66 ± 0.73), (SCH: 2.68 ± 0.51) and (Overt hypothyroidism: 3.23 ± 0.59), p-value=0.063], [(Euthyroid: 3.49 ± 0.64), (SCH: 3.35 ± 0.59) and (Overt hypothyroidism: 4.01 ± 0.30), p-value=0.033] and [{Euthyroid: 2.48 (95% CI: 1.63-3.33)}, {SCH: 2.27 (95% CI: 0.37-4.90)} and {Overt hypothyroidism: 14.95 (95% CI: 10.71-19.14){, (p-value< 0.001)] Results for total cholesterol, triglycerides and HDL-cholesterol though increased in overt hypothyroid group were not found to be statistically significant. CONCLUSION: LDL-cholesterol, non-HDL-cholesterol and UACR increased from euthyroid subjects to overt hypothyroidism group. However, these changes were found to be more subtle in the subclinical hypothyroid subjects than cases with overt hypothyroidism.

Status of non-HDL-cholesterol and LDL-cholesterol among subjects with and without metabolic syndrome.

OBJECTIVE: To to compare non-high-density lipoprotein and low-density lipoprotein cholesterol among subjects with or without metabolic syndrome, glycation status and nephropathic changes. METHODS: The comparative cross-sectional study was carried out from Dec 21, 2015, to Nov 15, 2016, at the department of pathology and medicine PNS HAFEEZ and department of chemical pathology and clinical endocrinology (AFIP), and comprised patients of either gender visiting the out-patient department for routine screening. They were evaluated for anthropometric indices, blood pressure and sampled for lipid profile, fasting plasma glucose, glycated haemoglobin, insulin, and urine albumin-to-creatinine ratio. Subjects were segregated based upon presence (Group1) or absence (Group2) of metabolic syndrome based upon criteria of National Cholesterol Education Programme and the International Diabetes Federation. Differences in high and low density lipoprotein cholesterols were calculated between the groups. RESULTS: Of the 229 subjects, 120(52.4%) were women and 109(47.6%) were men. Overall, there were 107(46.7%) subjects in Group 1, and 122(53.3%) in Group 2. Non-high-density lipoprotein cholesterol was significantly different between subjects with and without metabolic syndrome as per both the study criteria (p<0.05 each). . CONCLUSIONS: Non-high-density lipoprotein cholesterol levels were higher in subjects with metabolic syndrome.

Insulin Resistance and Glucose Levels in Subjects with Subclinical Hypothyroidism.

OBJECTIVE: To compare insulin resistance and glycemic indicators among subjects with euthyroidism and subclinical hypothyroidism. STUDY DESIGN: Comparative cross-sectional study. PLACE AND DURATION OF STUDY: Department of Pathology and Medicine, PNS Hafeez, Islamabad, in collaboration with the Department of Chemical Pathology and Endocrinology at the Armed Forces Institute of Pathology (AFIP), Rawalpindi, from December 2015 to September 2016. METHODOLOGY: Subjects referred for executive screening of apparently healthy population (without any known history of diabetes, hypertension, heart disease or other chronic ailments), were included. Subjects were grouped as euthyroidism and subclinical hypothyroidism. RESULTS: Median (IQR) insulin resistance indices including fasting insulin and Homeostasis Model Assessment for Insulin Resistance in subjects with group-1 (n=176, 87%, Thyroid Stimulating Hormone: 0.5 - 3.5 mIU/L) and group-2 (n=26, 13%, Thyroid Stimulating Hormone: 3.51 - 15 mIU/L) were 7.6 (6.70) vs. 11.4 (13.72, p=0.040) and 1.77 (1.79) vs. 2.8 (3.07, p=0.071). The median differences for fasting plasma glucose were 5.0 (1.0) in group-1 vs. 5.0 (1.47) for Group-2 [p=0.618], and glycated hemoglobin was 5.60 (1.1) vs. 5.60 (1.7, p=0.824). Homeostasis Model Assessment for beta sensitivity index in paradox showed slightly higher values for group-2 [median (IQR) 86.67 (92.94)] than group-1 [111.6 (189.64, p= 0.040)]. CONCLUSION: Measures of insulin resistance including Homeostasis Model Assessment for Insulin Resistance and fasting insulin levels were significantly different between subjects with euthyroidism and having subclinical hypothyroidism.

Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks.

BACKGROUND: Recent literature in lipidology has identified LDL-fractions to be more atherogenic. In this regard, small density LDL-cholesterol (sdLDLc) has been considered to possess more atherogenicity than other LDL-fractions like large buoyant LDL-cholesterol (lbLDLc). Recently, Srisawasdi et al. have developed a method for calculating sdLDLc and lbLDLc based upon a regression equation. Using that in developing world may provide us with a valuable tool for ASCVD risk prediction. OBJECTIVE: (1) To correlate directly measured and calculated lipid indices with insulin resistance, UACR, glycated hemoglobin, anthropometric indices, and blood pressure. (2) To evaluate these lipid parameters in subjects with or without metabolic syndrome, nephropathy, and hypertension and among various groups based upon glycated hemoglobin results. DESIGN: Cross-sectional study. Place and Duration of Study. From Jan 2016 to 15 April 2017. SUBJECTS AND METHODS: Finally enrolled subjects (male: 110, female: 122) were evaluated for differences in various lipid parameters, including measured LDL-cholesterol (mLDLc), HDLc and calculated LDL-cholesterol (cLDLc), non-HDLc, sdLDLC, lbLDLC, and their ratio among subjects with or without metabolic syndrome, nephropathy, glycation index, anthropometric indices, and hypertension. RESULTS: Significant but weak correlation was mainly observed between anthropometric indices, insulin resistance, blood pressure, and nephropathy for non-HDLc, sdLDLc, and sdLDLc/lbLDLc. Generally lipid indices were higher among subjects with metabolic syndrome [{sdLDLc: 0.92 + 0.33 versus 0.70 + 0.29 (p < 0.001)}, {sdLDLc/lbLDLc: 0.55 + 0.51 versus 0.40 + 0.38 (p = 0.010)}, {non-HDLc: 3,63 + 0.60 versus 3.36 + 0.65 (p = 0.002)}]. The fact that the sdLDLc levels provided were insignificant in Kruskall Wallis Test indicated a sharp increase in subjects with HbA1c > 7.0%. Subjects having nephropathy (UACR > 2.4 mg/g) had higher concentration of non-HDLc levels in comparison to sdLDLc [{non-HDLc: 3.68 + 0.59 versus 3.36 + 0.43} (p = 0.007), {sdLDLc: 0.83 + 0.27 versus 0.75 + 0.35 (p = NS)}]. CONCLUSION: Lipid markers including cLDLc and mLDLc are less associated with traditional ASCVD markers than non-HDLc, sdLDLc, and sdLDLc/lbLDLc in predicting metabolic syndrome, nephropathy, glycation status, and hypertension.

Serum inhibin B as a diagnostic marker of male infertility.

BACKGROUND: Infertility affects about 15% of all couples in the world. Approximately 40% of all infertility cases could be attributed entirely to male factors. Serum inhibin B has emerged as a sensitive marker of male fertility. Analysis of serum inhibin B reflects the relationship between inhibin B, Sertoli cell function and spermatogenesis. METHODS: This validation study was conducted to calculate the sensitivity, specificity, positive and negative predictive value of serum inhibin B in diagnosis of male infertility, using semen analysis as the gold standard. One hundred and sixty men were included in the study, they reported for semen analysis for evaluation of male infertility. Sperm count was done per standard procedure. Serum inhibin B level was determined by ELISA. RESULTS: Serum inhibin B level > or = 80 pg/ml was regarded as a normal response. The serum inhibin B test had 75% sensitivity, 93.1% specificity, 80.5% PPV and 90.7% NPV. CONCLUSION: Serum inhibin B has a positive correlation with sperm counts and could be used for evaluation of male infertility as a non-invasive predictor of spermatogenesis. The sensitivity, specificity and PPV are appropriate for clinical decision making and to avoid unnecessary testicular biopsies.

Kartagener's syndrome and acute appendicitis.

Kartagener's syndrome is a combination of situs inversus totalis, sinusitis and bronchiectasis. Left sided appendicitis can present with problems in diagnosis and during surgery. We present here a case of Kartagener's syndrome and left sided appendicitis successfully managed in a peripheral hospital in Bahawalnagar, Pakistan.

Evaluation of insulin-like growth factor-1 and insulinlike growth factor binding protein-3 in diagnosis of growth hormone deficiency in short-stature children.

BACKGROUND: Growth Hormone Deficiency (GHD) is conventionally diagnosed and confirmed by diminished peak Growth Hormone (GH) levels to provocative testing. Serum Insulin-like growth factor-1 (IGF-1) and insulin-like growth factor binding protein-3 (IGFBP-3) are under the influence of GH and reflect the spontaneous endogenous GH secretion. Owing to the absence of a circadian rhythm, it is possible to take individual measurements of IGF-1 and IGFBP-3 at any time of the day for evaluation of GH status instead of subjecting the individual to cumbersome provocative tests. Objectives of this study were to compare IGF-1 and IGFBP-3 assays with Exercise and L-Dopa stimulation tests in the diagnosis of growth hormone deficiency in short stature children using ITT as gold standard. METHODS: This validation study was conducted at Department of Chemical Pathology and Endocrinology, AFIP, Rawalpindi, from November 2005 to October 2006. Fifty-two short stature children were included in the study. Basal samples for GH levels and simultaneous IGF-1 and IGFBP-3 measurements were obtained and afterwards all children were subjected to sequential exercise and L-Dopa stimulation tests. Insulin Tolerance Test (ITT) was performed one week later with all the necessary precautionary measures. On the basis of ITT results, children were divided into two groups, i.e., 31 growth hormone deficient and 21 Normal Variant Short Stature (NVSS). RESULTS: The diagnostic value of exercise stimulation test remained highest with sensitivity 90.3%, specificity 76.0%, Positive Predictive Value (PPV) 84.84%, Negative Predictive Value (NPV) 84.2% and accuracy 84.6%. The conventional L-Dopa stimulation had sensitivity 96.7%, specificity 38.0%, PPV 69.7%, NPV 88.8 % and accuracy 73.0%. The serum IGF-1 and IGFBP-3 levels were positively correlated with post ITT peak GH levels (r = 0.527, r = 0.464 respectively, both p < 0.001). The diagnostic value of IGF-1 had sensitivity 83.87%, specificity 76.2%, PPV 83.87%, NPV 76.2% and accuracy 80.76%. The diagnostic value of IGFBP-3 had sensitivity 54.83%, specificity 90.47%, PPV 89.47%, NPV 57.57% and accuracy 69.23%. With combined use of IGF-1 and IGFBP-3 diagnostic value had sensitivity 69.35%, specificity 83.33% PPV 86%, NPV 64.81% and accuracy 75%. CONCLUSION: Growth Hormones provocative tests still remain the most useful investigations for the diagnosis of GHD. Measurements of IGF-1 and IGFBP-3 have shown comparable diagnostic performance with growth hormone stimulation tests and are valuable for patients' convenience and ease of performance and can be useful in the initial workup of short stature.