Background:Storage of serum and other blood products is often necessary in laboratories because of technical issues or to preserve samples for subsequent research purposes. The aim of this study was to determine whether the stability of biochemical analytes is affected by storage conditions.Materials and Methods:A total of 17 biochemical analytes in the sera of ten patients were examined following storage. Subsequent to determining the baseline measurements, the serum of each patient was aliquoted and stored at −20°C for 7, 15, and 30 days and then analyzed for stability. The results were compared with the initial analysis measurements obtained from fresh samples. Mean changes compared to baseline (T0) concentrations were evaluated both statistically and clinically.Results:Our results show that sodium, potassium, urea, creatinine, uric acid, total calcium, phosphorus, direct bilirubin, total bilirubin, aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, total protein, albumin, cholesterol, and triglyceride levels were stable under all conditions. Serum amylase was the only analyte demonstrating instability following prolonged storage; amylase levels changed significantly (both statistically and clinically) at 7, 15, and 30 days (P < 0.05).Conclusion:Most common biochemical analytes, except for amylase, showed adequate stability in serum following 30 days of storage at −20­C. Serum amylase analysis should be conducted on the same day that the sample is received in the laboratory.

Background: Chronic kidney disease (CKD) is becoming a serious health problem; the number of people with impaired renal function is rapidly rising. Progression of CKD is associated with having a number of complications, including thyroid dysfunction, dyslipidemia, and cardiovascular diseases. Objective: The present study was conducted to investigate thyroid function and lipid profile in patients with CKD. Material and methods: A cross-sectional study was conducted among 90 patients with CKD at Saraswathi Institute of Medical Sciences, Hapur (U.P.). Demographic features (age and sex) and medical history of diabetes mellitus, hypertension, and cardiovascular diseases of each patient were noted, and blood samples (5 mL) were analyzed for serum urea, creatinine, glucose, free triiodothyronine (T3), free thyroxine (T4), thyroid stimulating hormone (TSH), total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and triglyceride. Results: Thyroid dysfunction was found in 38.6% patients with CKD, the most common being subclinical hypothyroidism (27.2%), followed by overt hypothyroidism (8.1%), and subclinical hyperthyroidism (3.3%). Hypercholesterolemia, low HDL cholesterol, undesirable LDL cholesterol, and hypertriglyceridemia were observed in 34.4%, 34.1%, 35% and 36.6% patients, respectively. Patients with CKD withstages 4 and 5 had significantly higher risk of having thyroid dysfunction as compared to patients with stage 3. Significant risk factors for cardiovascular disease in patients with CKD included the presence of diabetes mellitus, hypercholesterolemia, undesirable LDL cholesterol, and being in stages 4 and 5 (as compared to stage 3). Conclusions: Thyroid dysfunction, hypercholesterolemia, low HDL cholesterol, undesirable LDL cholesterol, and hypertriglyceridemia were common in patients with CKD. Progression of CKD was accompanied by rise in hypothyroidism and cardiovascular disease.

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Objective:This study aims to determine the association of dyslipidemia and increased insulin resistance (IR) with increased breast cancer (BC) risk.Materials and Methods:The study group comprised 110 premenopausal and 143 postmenopausal, untreated female BC patients in the age range of 29–72 years. Control group consisted of 117 premenopausal and 141 postmenopausal healthy females in the age range of 23–75. Approximately 8-ml blood samples were drawn to measure various biochemical parameters. Serum glucose, total cholesterol, triglyceride (TG), and high-density lipoprotein-cholesterol were measured. Very low-density lipoprotein-cholesterol (VLDL-C) and LDL-C were calculated using Friedewald's formula. Serum insulin and serum CA 15-3 were estimated by immune enzymatic assay. IR was assessed using homeostasis model assessment IR index (HOMA-IR).Results:Clinical variables in the case and control groups were compared using the unpaired Student's t-test. The crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by binary logistic regression analysis. Pearson's correlation analysis was used to determine the association between CA 15-3 and variables of interest. Total cholesterol, TG, LDL, VLDL, serum glucose, serum insulin, HOMA-IR, and serum CA 15-3 were significantly higher (P < 0.001) in BC patients compared to those in controls. Significant adjusted ORs with 95% CI were found to be fasting glucose, total cholesterol, and TGs. We also found a significant positive correlation between total cholesterol, TG, LDL, serum glucose, serum insulin, HOMA-IR, and serum CA 15-3.Conclusion:This study confirms the association between dyslipidemia, IR, and increased BC risk.