Lipid Profile Data Research Articles

Metformin versus Metformin Plus Statin Effect on Lipid Profile in Type 2 Diabetic Patients

Metformin is commonly used drug for type 2 diabetes and may also impact lipid profiles. Statins are often combined with metformin to manage dyslipidemia, but their comparative efficacy on lipid profiles is not well established. This study aimed to compares the effects of metformin alone versus metformin with statins on lipid profiles and to investigate the impact of different metformin doses on these profiles. A cross-sectional study was conducted at Aljabal Alakdar Diabetic Clinic in East Libya from July to December 2023, involving 200 adults with type 2 diabetes. Participants were divided into Group A (metformin only) and Group B (metformin plus statin). Inclusion criteria were adults aged 18-75 years, on metformin for at least 3 months, with recent lipid profile data, and who provided informed consent. Exclusion criteria were additional lipid-lowering drugs or any medications known to affect lipid profiles, type 1 diabetes, severe comorbidities, and pregnancy. Data were analyzed using SPSS version 27 with MANOVA, and significance was set at p < 0.005. The mean age was 58.62 years, mean diabetes duration was 11.43 years, with 47.5% males and 52.5% females. Mean HbA1c was 7.98%, mean urea was 36.5 mg/dL, and mean creatinine was 0.95 mg/dL. Lipid profile parameters included mean LDL cholesterol at 89.09 mg/dL, HDL cholesterol at 47.71 mg/dL, total cholesterol at 175.6 mg/dL, and triglycerides at 169.4 mg/dL. The key lipid parameters showed a significant difference (p < 0.000) between groups, with the metformin-only group exhibiting lower LDL, HDL, triglycerides, and total cholesterol compared to the metformin plus statin group. Our study found that metformin alone achieved better lipid control than metformin combined with statins, with a 1g dose showing notable antihyperlipidemic effects.

Frequency of lipoprotein(a) testing and its levels in Pakistani population.

Lipoprotein(a) [Lp(a)] is a highly atherogenic particle identified as an independent risk factor for the development of atherosclerotic cardiovascular disease (ASCVD). This study aimed to investigate the frequency of Lp(a) testing and the incidence of elevated Lp(a) levels in the Pakistani population. For this observational study, Lp(a) and lipid profile data from five years (June 2015 to October 2020) were acquired from the electronic patient records of a diagnostic laboratory with a countrywide network. The association of age and total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), non-HDL, and triglyceride (TG) levels with two thresholds for Lp(a), that is, <30 mg/dL and ≥30 mg/dL, was calculated using the Kruskal-Wallis test, while the association between Lp(a) levels and lipid variables was calculated using Spearman correlation. For five years, 1060 tests were conducted, averaging 212 tests per year. Of these, 37.2% showed Lp(a) levels above 30 mg/dL. No significant differences were observed in the results between males and females. However, younger individuals displayed significantly higher Lp(a) levels. Additionally, there was only a weak correlation between the Lp(a) levels and other lipid variables. Despite being recognized as a risk factor for ASCVD in the Pakistani population, only a small proportion of the large population underwent Lp(a) testing. Moreover, a significant proportion of the population exceeded this threshold.

Association Between Calculated Small Dense Low-Density Lipoprotein Cholesterol (sdLDL-C) and Soft Carotid Plaques on CT Angiogram of the Head and Neck.

Cerebrovascular accident (CVA), also commonly known as stroke, is an acute condition characterized by jeopardized perfusion of the brain tissue. Atherosclerosis is a common converging point for the various risk factors for CVA. It is a chronic, evolving condition of the vessel wall characterized by peculiar lesions known as atheromas. Low-density lipoprotein cholesterol (LDL-C) has been one of the established and traditional risk factors for the development of plaques in atherosclerosis. Small dense LDL-C (sdLDL-C) is a subclass of LDL-C that is considered more atherogenic, and its role in atherosclerotic plaque formation has been very well established. Hence, in this study, we aimed to find the association between calculated sdLDL-C and atherosclerotic carotid plaque (including various plaque characteristics). This retrospective cross-sectional study was conducted at Sri Ramachandra Medical College and Research Institute between December 2022 and December 2023 after getting ethics approval from the Institutional Ethics Committee. Patients who underwent CT angiogram(312) were included in the study, and their lipid profile data were collected from the Laboratory Information System. Participants were divided into groups depending on the presence or absence of carotid plaque, the characteristics of the plaque, and the narrowing caused by the plaque. sdLDL-C was calculated using Sampson formula from the lipid parameters in these groups. Statistical analysis was done using SPSS Statistics version 16.0 (SPSS Inc. Released 2007. SPSS for Windows, Version 16.0. Chicago, SPSS Inc.). A p-value of <0.05 was considered significant. sdLDL-C was significantly higher in the plaque group (37.25 ± 13.69 mg/dL) when compared to the group without plaques on CT angiogram (34.09 ± 11.64 mg/dL) (p<0.05), wherein the LDL-C wasn't significantly different between the two groups. sdLDL-C was also elevated in the soft plaque sub-group (39.46 ± 13.63 mg/dL) when compared to the calcific plaque sub-group (35.41 ± 13.05 mg/dL), which was statistically significant (p<0.05). sdLDL-C is associated with atherosclerotic carotid plaques, especially the soft plaques on CT angiogram, which are considered to be vulnerable plaques. Thus, calculated sdLDL-C can be utilized as a cost-effective tool to assess plaque vulnerability and monitor hypolipidemic treatment in addition to LDL-C.

Efficacy and Safety of Filgotinib in Rheumatoid Arthritis Patients Aged over and under 65 Years (ENANTIA-65).

According to recent data, the age of patients could represent an important risk factor for MACE (major cardiovascular events), cancer, and VTE (venous thromboembolism) during treatment with JAK inhibitors in rheumatoid arthritis. We decided to analyze the population involved in the ReLiFiRa study by identifying two groups of patients: 65 years or more and less than 65 years of age, evaluating the efficacy and tolerability of 200 mg of Filgotinib daily. Of the 120 ReLiFiRa patients, 54 were younger than 65 years old and 66 patients were 65 years old or older. The data of efficacy and tolerability of treatment with FIL 200 mg daily for 6 months were evaluated. After six months of treatment, FIL was effective in both age groups. In both groups, the median values of steroid DAS28, CDAI, ERS, PCR, tender joints, swollen joints, VAS, HAQ, PGA patients, and PGA physicians were reduced with a statistically significant difference comparing these values with the baseline values. The difference in age did not impact the effectiveness of the drug. The lipid profile data also did not demonstrate significant differences between the two age groups; however, the comparison between younger vs. older patients' populations regarding the total cholesterol/HDL ratio and LDL/HDL ratio shows a statistically significant difference: total cholesterol/HDL 3.4 (2.12-3.66) vs. 3.64 (3.36-4.13) p = 0.0004, LDL/HDL 1.9 (0.98-2.25) vs. 2.41 (2.04-2.73) p = 0.0002. There are no differences regarding the atherogenic index (LDL-C/HDL-C) and coronary risk index (TC/HDL-C) compared to baseline. After six months of treatment with FIL, the older population group showed a higher level of LDL and a lower level of HDL compared to younger patients. The atherogenic index and coronary risk index are higher in patients aged ≥ 65 years, but interestingly, there were no differences when comparing the 6-month data to baseline values. This condition highlights the impact of typical risk factors that act independently of treatment with Filgotinib.

Comparison of Performance of Various Calculated Low-Density Lipoprotein (LDL) Methods in the Indian Population: A Hospital-Based Study.

In recent times, there has been a surge in proposed alternative approaches to computing low-density lipoprotein cholesterol (LDL-C), with a focus on enhancing precision, particularly within diverse demographic and clinical groups. Our aim is to assess the agreement, precision, and practicality of these methods compared to direct LDL-C measurements, with the goal of identifying the most effective approach for estimating LDL-C in the Indian context. It is a retrospective analytical study. Lipid profile data were gathered from the laboratory and organized in Microsoft Excel for analysis. LDL-C was computed using three different methods: the Friedwald formula, the Martin-Hopkins formula, and Sampson's formula. These calculations were then compared with the direct method of LDL-C estimation in two distinct groups: when triglyceride (TG) levels were less than 400 mg/dL and when TG levels exceeded 400 mg/dL. Bland-Altman plots were generated, and concordance correlation coefficients (CCCs) were computed to determine the most suitable calculated method. Data from 1,776 participants were analysed and divided into two groups. In both Group 1 (TG < 400 mg/dL) and Group 2 (TG > 400 mg/dL) considering bias, limits of agreements, and correlation coefficient, as seen on the Bland-Altman and CCC, Martin-Hopkins equation was found to be performing better than Friedwald and Sampson's equation. In this study, the Martin-Hopkins formula appears to be the most appropriate choice for precise LDL-C level measurements and indicated improved accuracy and consistency in LDL-C measurements, especially in individuals with elevated TG levels. This underscores its importance in ensuring precise assessment and suitable clinical management.

E056 Particularities of the lipid profile in rheumatoid arthritis

Abstract Background/Aims Rheumatoid arthritis (RA), like all autoimmune diseases, is associated with a high cardiovascular risk. This risk is essentially linked to the chronic inflammation and dyslipidaemia engendered by this chronic inflammatory rheumatism. The objective of this work was to study the particularities of the lipid profile in RA. Methods We conducted a retrospective study including patients with RA according to ACR- EULAR 2010 criteria, followed in an internal medicine department between 2015 and 2022. Lipid profile data (total cholesterol (TC), high-density lipoproteins (HDLc), low-density lipoproteins (LDLc), and triglycerides (TG)) were collected. Results Eighty patients with RA were studied. The mean age was 60.79 years [range 30-91]. The sex ratio (F/H) was 4.33, with a clear female predominance. The mean age of disease onset was 46.34 years [extremes: 22-82]. A personal history of dyslipidaemia was noted in 19 patients: hypercholesterolemia, hypertriglyceridemia, and mixed dyslipidaemia were found in 8, 4 and 7 cases. Other comorbidities were arterial hypertension in 35% of cases (n = 28), diabetes in 30% of cases (n = 24), renal insufficiency in 6.25% of cases (n = 5) and a cardiovascular accident in 5% of cases (n = 4). Obesity was present in 15% of patients and smoking in 5%. 69 patients had a lipid panel. Dyslipidaemia was present in 66.7% of cases (n = 46). The mean TC level was 4.47 ± 1.0 mmol/L [range: 2.32 - 6.96 mmol/L], the mean TG level was 2.64 ± 0.81 [range: 0.90 - 4 mmol/L], the mean HDLc level was 1.106 ± 0.394 mmol/L [0.50 - 2] and the mean LDLc level was 1.38 ± 0.565 mmol/L [0.56 - 3.59 mmol/L]. Hypercholesterolemia (21.3%) and hypocholesterolaemia (21.3%) were the most common lipid abnormalities. Hypertriglyceridemia was observed in 10% of cases (n = 8). A low HDLc was observed in 20% of cases (n = 16). Only one patient had a high HDLc, with HDLc= 2 mmol/l. A low LDL was present in 10% of cases (n = 8). Conclusion In our study, hypolipidemia was the most common dyslipidaemia. This confirms the lipid paradox found in RA. Indeed, systemic inflammation is responsible for quantitative and qualitative alterations in lipoproteins. Stabilization of the disease leads to normalization of the lipid balance and improved control of cardiovascular risk. Disclosure I. Fenniche: None. M. Somai: None. I. Rachdi: None. I. Arbaoui: None. F. Daoud: None. S. Kochbati: None. B. Daoud: None. Z. Aydi: None. F. Boussema: None.

Efficacy of targeted screening for familial hypercholesterolemia in children and adults aged &lt;44 years: retrospective, prospective observational study

BACKGROUND: Considering the high cardiovascular risk in patients with familial hypercholesterolemia (FH), early diagnosis and treatment are the basis for the prevention of vascular accidents. In the absence of universal screening, the results of more targeted diagnostics are of interest — the search for lipid metabolism disorders in young relatives of patients with atherosclerotic vascular diseases.&#x0D; OBJECTIVE: To determine the effectiveness of targeted screening for identifying patients with FH, which will justify its widespread use in clinical practice.&#x0D; MATERIALS AND METHODS: At the start of the observational study, 584 patients were identified from the vascular centers of the Krasnoyarsk Regional Hospital, Krasnoyarsk Interdistrict Clinical Hospital No. 20 named after. I.S. Berzon, who had lipid profile data and early cardiovascular events (all forms of coronary heart diseases), including reconstructive vascular interventions up to 55 years in men and up to 60 years in women in the case of first-degree relatives and up to 50 years in second-degree relatives. The study examined patients’ relatives aged 44 years. To diagnose FH in participants aged 16 years, the scale developed by a network of Dutch lipid clinics was used; in participants aged 16 years, the S. Broome criteria were used. Targeted screening and lipid parameters in individuals with probable, possible, and definite FH were analyzed. Data processing was performed using Microsoft Excel and Statistica v. 12.0 (USA). Parametric (calculation of the median and 25th and 75th quartiles) and nonparametric (statistical significance of differences was determined using the Mann–Whitney and χ2 tests) methods were used.&#x0D; RESULTS: The study examined 70 children and 104 adults aged 44 years whose first- and/or second-degree relatives suffered premature vascular events. In the general group of participants, 42 (24.14%) patients had FH (of which 18 were 17 years old) and 37 (21.2%) had hyperlipoproteinemia (a). Definite FH was documented in 16 (9.1%) patients, probable in another 16, and possible in 9. Hyperlipoproteinemia (a) was found in 37 (21.2% of general group) patients, including 12 children (17.1% of pediatric group).&#x0D; CONCLUSION: Not more than 30% of the population are aware of the hereditary nature of lipid metabolism disorders and atherosclerotic diseases. Targeted screening is the least expensive and most effective tool for identifying patients with FH and hyperdipoproteinemia (a).

Role of gastric bypass surgery in control of blood sugar in obese uncontrolled type 2 diabetic patients

Background and goalThe pandemic of the twenty-first century is diabetes. Both type 2 diabetes mellitus and obesity pose severe problems for public health. Despite significant improvements in diagnosing and managing both conditions, diabetes mellitus remains poorly controlled, and diabetic complications are more common than ever. Internists have discovered over the past 20 years that obese people with type 2 diabetes who have gastric bypass surgery to shed weight have improved glycemic control. Thus, interventional diabetology has a growing significance in patients’ ability to reverse type 2 diabetes mellitus. We want to evaluate the impact of gastric bypass on blood sugar regulation and look for potential causes.Patients and methodsBetween 2018 and 2020, a prospective interventional study was carried out. Ninety patients in total were enrolled in the trial. The two patient groups (A and B) contained 45 obese T2DM patients with a body mass index (BMI) of over 35 kg/m2. Group B received its antidiabetic medications, either oral hypoglycemic or insulin, while Group A underwent gastric bypass surgery. Each patient underwent a comprehensive history review and clinical assessment. Both groups had their HA1c and blood sugar levels measured; group A had their insulin, GLP-1, and HOMA-IR (Homeostasis Model Assessment for Insulin Resistance) levels calculated at time O and one year later.ResultsThe demographic differences between the two study groups were negligible. After a one-year follow-up, group A had significantly lower anthropometric measurement data for BMI and waist circumference (cm), lipid profile data for triglycerides, total cholesterol, and LDL levels, and systolic and diastolic blood pressure. Fasting plasma glucose and HbA1c, two metrics of glucose metabolism, significantly decreased in group A. Regarding indicators of glucose metabolism, there was a drop in fasting insulin level and HOMA-IR and an increase in GLP1 level in the gastric bypass group.ConclusionAs a result of improving all indicators, gastric bypass is an effective treatment for patients with uncontrolled T2DM. Future research that is confirmed is needed.

From adolescence to adulthood: Mediterranean diet adherence and cardiometabolic health in a prospective cohort study

Background and aimsRecent investigations suggest that specific dietary patterns during adolescence may predict cardiometabolic complications later in life. In this study, we aimed to examine the association between Mediterranean diet score (MDS) during adolescence and cardiometabolic outcomes when participants reached adulthood. Methods and resultsThis cohort study was conducted on 668 subjects, aged 10–19 years, in framework of the Tehran Lipid and Glucose Study. The MDS was determined based on eight components using a validated food-frequency questionnaire. Anthropometric measurements, fasting blood glucose (FBG), and lipid profile data were measured both at baseline and after a 6.8 ± 2.9-year follow-up. Using multivariable linear regression, we explored the association between MDS and changes in cardiometabolic risk factors. Moreover, multivariable-adjusted cox proportional hazard regression was used to estimate hazard ratios (HR) and 95 % confidence intervals (CIs) for cardiometabolic complications across MDS tertiles. The mean ± SD age of participants (43.5 % men) was 15.8 ± 2.47 years. The mean ± SD of MDS was 4.03 ± 1.56, with a median of 4.00 among all participants. Higher MDS was inversely associated with 6.8-year changes in waist circumference (WC), FBG, total cholesterol (TC), and high-density lipoprotein-cholesterol (Ptrend<0.05). Based on the HR analysis, after controlling for potential confounders, individuals in the highest tertile of MDS had a significantly lower risk of high-TC(HR = 0.36,95%CI:0.18–0.74,Ptrend = 0.004) compared to those in the lowest tertile. However, no significant association was observed between MDS and other cardiometabolic risk factors. ConclusionsGreater adolescent adherence to a Mediterranean-type diet was associated with favorable cardiometabolic factors in adulthood, including improving the levels of WC, FBG, TC, as well as reduced risk of high-TC.

Antifungal, Antioxidant, Antimicrobial, Antinociceptive, Cytotoxic, Hypolipidemic, Antihypertensive, Antispasmodic Properties of Apiaceae Family of Seeds

Susceptibility to vasoconstriction in response to activation of platelets and leukocytes is reduced or abolished by regression of atherosclerosis. Design and Place of conduction: The research work was single blind placebo-controlled, conducted at Jinnah Hospital, Lahore. Research time: It was conducted from AUGUST TO NOVEMBER 2018. Number of patients and their Age: Seventy five already diagnosed primary and secondary hyperlipidemic patients were selected with age range from 17 to 65 years. Exclusion criteria: Diabetes mellitus, cigarette smoking/alcohol addictive patients, peptic ulcer disease, hypothyroidism, kidney dysfunction, any heart disease and liver disease. All patients were divided in three groups (group-I, group-II, group-III), 25 in each group. Proforma for patients: Their baseline lipid profile data were taken and filed in specifically designed Performa, at start of taking medicine. Patients group division: Twenty five patients of group-I were advised to take 10 grams of Flaxseeds in three divided doses after meal. Twenty five patients of group-II were advised to take Ajwain seeds 10 grams in three divided doses after each meal for two months. Twenty five patients of group-III were provided placebo capsules, (containing grinded rice), taking one capsule after each meal. All participants were advised to take these medicines for eight weeks. Followup period: All participants were called fortnightly for their query and follow up. Their LDL-cholesterol, and HDL-cholesterol was determined at the hospital laboratory. Results: In two months therapy by Flaxseeds decreased LDL-cholesterol from 195.11±2.11 mg/dl to 190.22±3.11 mg/dl, which is significant statistically. HDL was increased from 34.53±1.65 mg/dl to 38.97±2.29 mg/d, which is also significant change. In two months therapy by AJWAIN, LDL-c reduced from 201.51±2.62 mg/dl to 197.11±2.66 mg/dl, which is significant statistically. HDL-cholesterol increased by Ajwain from 36.97±3.32 mg/dl to 37.45±1.87 mg/dl, which is insignificant statistically. While flaxseed hasn't yet been shown to improve heart disease risk, there's good evidence that flaxseed and flaxseed oil may lower cholesterol levels. Groundflaxseed -- but not flaxseed oil -- may also help with menopausal symptoms.

Seasonal changes in the profile of blood plasma fatty acids as a mechanism of human adaptation to the extreme conditions of the North

Extreme environmental factors lead to changes in the metabolism of the body and, in particular, to the predominant use of proteins and fats. The aim of our study was to reveal seasonal differences in the blood plasma fatty acid profile of people with evolutionarily developed mechanisms of adaptation to the specific conditions of the North. The subjects of the study were young male aborigines of the North (Yakuts), virtually healthy volunteers whose mean age was 19.1 ± 2.2 (n = 26). Venous blood samples were collected in the morning from 8:00 am to 9:00 am in different seasons (summer, fall, and winter). Temperature variations during these seasons were more than 100 °C. Identification and determination of fatty acid (FA) concentrations in the blood plasma samples were performed using gas chromatography-mass spectrometry (GC-MS). Statistical analysis of blood plasma lipid profile data was performed using MetaboAnalyst 5.0. The results showed that the ratio of unsaturated fatty acids (USFA) to saturated fatty acids (SFA) increases by 1.8 times in winter compared to other periods (summer, and autumn). The leading role of polyunsaturated fatty acids (PUSFA) in the adaptation of the human body to interseasonal changes has been revealed. The most important role is played by the winter increase of 11,14,17-eicosatrienoic acid (omega-3) and the winter decrease of arachidonic acid, cis-11,14-eicosadienoic acid and 8,11,14-eicosatrienoic acid.

Abstract P377: Effect Of Treatment Of Denture Stomatitis On Blood Pressure, C-reactive Protein, Body Mass Index, And Lipid Profile.

Background: The literature shows that partially or entirely edentulous patients can have an increased risk of cardiovascular diseases, particularly hypertension and stroke. However, edentulous patients wearing complete dentures present Denture Stomatitis (DS) very frequently, associated with deleterious cardiovascular effects, mainly arterial hypertension. Objective: This study evaluated blood pressure, C-reactive protein (CRP), body mass index (BMI), and lipid profiles of completely edentulous DS-positive patients at baseline, and after 15 and 45 days of treatment. Methods: The treatment protocol consists of brushing the palate with a soft brush and water, denture brushing with a denture-specific brush and mild soap, and oral, topical application of nystatin 100,000 IU. The degree of DS was diagnosed by two calibrated and blinded researchers using the modified Newton classification. Three measurements were performed at 5-minute intervals recording the systolic and diastolic blood pressure. The ELISA assessed the CRP (mg/L) of blood samples. The Friedman test and Dunn's post-test evaluated blood pressure (mmHg), BMI (kg/m 2 ), and lipid profile (mg/dL) data. ANOVA and Tukey's post-test was applied for CRP using the software SPSS 25.0 (p&lt;0.05). Results: Twenty-five participants were included, with a mean age of 68±6.4 years.DS degree decreased over time (p&lt;0.001), significantly decreasing after 15 days and intermediate values after 45 days. Systolic blood pressure showed a trend for reduction at 15 days (147.9±17.3 vs. 141.7±19.0 mmHg; p=0.058) and a significant decrease after 45 days (147.9±17.3 vs. 140.5±14.1 mmHg; p=0.017), while diastolic blood pressure was similar over time (88±13.3, 87±10.5 and 86±9.8 mmHg). The treatment did not significantly affect the CRP (1.3±0.9; 1.3±0.1; 1.1±0.1 mg/L; p=0.824), BMI (30.1±6; 30.3±6; 30.2±6 kg/m 2 ; p=0.391), and lipid profile (Total cholesterol: 187.3±39; 185.2±40; 185.3±33 mg/dl; p=0.416, HDL: 48.9±11.5; 49.0±9.8; 47.4±11.0 mg/dL; p=0.217). Conclusion: The applied treatment of DS reduced the patients' DS degree and systolic arterial pressure.

Causal relationship between circulating lipid traits and periodontitis: univariable and multivariable Mendelian randomization.

The correlation between dyslipidemia and periodontitis is revealed through epidemiological studies. However, the results are affected by several confounding factors. This study aims to elucidate the genetic causal association between circulating lipid traits and periodontitis by two-sample Mendelian randomization (MR) analysis. After the different screening processes, two cohorts of circulating lipid traits from the UK Biobank were used as exposure data, including five circulating lipid traits. The Periodontitis cohort was selected from the GeneLifestyle Interactions in Dental Endpoints (GLIDE) consortium as outcome data. In univariable MR, the inverse variance weighted (IVW) was used in conjunction with six additional analytical methods to assess causality. The Cochran Q test, IGX 2 statistic, MR-PRESSO, and MR-Egger intercept were used to quantify heterogeneity and pleiotropy. The multivariable MR-IVW (MVMR-IVW) and MVMR-robust were mainly used as analytical methods in the multiple MR analyses. The IVW estimates showed that genetically predicted Apolipoprotein A1 (apo A1) [odds ratio (OR)=1.158, 95% confidence interval (CI)=1.007-1.331, P-value=0.040] was potentially associated with the risk of periodontitis, but the statistical power of the results was low. Multivariable MR analysis did not reveal any significant causal relationship between apo A1 and periodontitis (OR=0.72, 95% CI=0.36-1.41, P-value=0.34). In the validation cohort, there was also no significant causal relationship between apo A1 and periodontitis (OR=1.079, 95% CI=0.903-1.290, P-value=0.401). Meanwhile, genetically predicted Apolipoprotein B (apo B), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) (all P-values>0.05) were not significantly associated with the risk of periodontitis causal inference. This MR analysis was unable to provide genetic evidence for the influence of these five circulating lipid traits on periodontitis. However, a more extensive study with a more comprehensive circulating lipid profile and periodontitis data is needed due to study limitations.

Correlation between HbA1c and lipid profile in diabetes: a primary health concern in Aseer, Saudi Arabia

Background: Type 2 diabetes mellitus (T2DM) presently affects 537 million adults globally. It has a high prevalence in the Saudi population (31.6%), ranking 2nd highest in the Middle East and 7th worldwide. T2DM is characterized by insulin resistance and hyperglycemia, causing the glycation of hemoglobin, plasma proteins, tissue proteins, and their receptors. The high insulinemic state leads to dyslipidemia. These biochemical alterations can cause complications like atherosclerosis, coronary artery disease, angina, myocardial infarctions, and hypertension. Considering the high prevalence of diabetes in the Saudi population and the lack of studies conducted at primary health care (PHC) centers in Saudi Arabia, this study was done to investigate the status of diabetes control in T2DM patients and propose appropriate measures to prevent the development of future complications. Method: This cross-sectional study recruited 191 known T2DM patients presenting at the PHC center in the Al Qabil locality of Aseer province of Saudi Arabia. The patient's demographic and glycemic and lipid profile data were recorded and statistically analyzed. Results: T2DM was more prevalent in males. T2DM patients were found to be obese, and 52% had coexisting hypertension. Patients had deranged glycemic profiles and dyslipidemia despite taking hypoglycemic agents. Hyperglycemia and dyslipidemia were significantly higher in people with diabetes having HbA1c &gt; 7. HbA1c is correlated with dyslipidemia, and dyslipidemia is linked considerably with obesity. Conclusion: T2DM patients must be regularly followed up to ensure drug compliance, explained about foreseen medical complications, and motivated to adopt lifestyle modification measures to control their weight, BP, and blood glucose.

The Effect of Nigella sativa Powder on Blood Sugar and Lipid Profiles in Type 2 Diabetic Patients

Background: Diabetes is a chronic metabolic disease that impairs plasma lipid levels and prone a person to cardiovascular diseases. Since standard therapies in diabetes control fail in many patients, using herbal medicines in these patients has been considered. Objectives: The present study aimed to evaluate the effect of Nigella sativa (NS) seed powder on blood sugar and fat profile in type 2 diabetic patients. Methods: Eighty patients with type 2 diabetes were recruited and randomly assigned into control and experimental groups. The experimental group received a capsule containing Nigella sativa seed powder for two months, and the control group received a placebo. Blood glucose and lipid profile data were statistically analyzed at the end of two months. This study was conducted in diabetic clinic of Khomein City during the 2019 - 2020 year. The groups were compared using a repeated measures analysis of variance (ANOVA) test. Results: The mean age of patients was 53.82 in the experimental group and 55.12 in the control group. In comparison between the two measurements before and after the interventions, the variables glycosylated hemoglobin (HbA1c), cholesterol (Chol), and high-density lipoprotein (HDL) showed a statistically significant difference (P = 0.0001). The interactive effect between the control and intervention groups before and after the interventions was statistically significant for the postprandial glucose (PPG) variable (P = 0.035). Conclusions: The results of our study showed that the consumption of NS seed in diabetic patients could change the fat profile and reduce hemoglobin HbA1c, which indicated that Nigella sativa seed had been effective in reducing blood sugar over time.

Anti-Dyslipidemia effectiveness of andaliman fruit extract (Zanthoxylum acanthopodium) in Wistar rats given a high fat diet and PTU (Propylthiouracil)

The andaliman fruit contains many phytochemicals, such as phenols, saponins, flavonoids, triterpenoids, and alkaloids, and has various pharmacological effects such as: anti-inflammatory, antioxidant, antidiabetic, and antibacterial. This study aimed to explore the antidislipidemia effectiveness of andaliman fruit extract. This experimental study used the Pre-test and Post-test group-only control design approach using Wistar male rats as experimental animals. The sample size in this study was calculated using the Federer formula; the calculation showed that at least four male Wistar rats (Rattus norvegicus) were needed in each treatment group. First, the research data were analyzed descriptively (Central tendency and Dispersion) of lipid profile data (LDL, HDL, Total cholesterol, and Triglycerides), color, texture, and weight. Then the research data in the form of lipid profiles were analyzed with One-Way Anova if the data were normally distributed with further tests in the form of Post Hoc Tukey HSD tests to see the fundamental differences between treatments. However, if the data were not normally distributed, the Kruskall-Wallis test was used as an alternative. The results showed that the total cholesterol of rats before being given a high-fat diet in all treatment groups did not show significant differences (P value = 0.782). This indicates that all rats' cholesterol data were uniform before being given the high-fat diet. However, after a high-fat diet, total cholesterol in all groups of rats showed different distributions. Only the control, standard, andaliman fruit methanol extract-I, II, and III groups had uniform total cholesterol. The methanol extract of andaliman fruit could significantly reduce total cholesterol, triglyceride, LDL, and SGOT levels compared to the control group. In contrast, the methanol extract of andaliman fruit could dramatically increase HDL levels compared to the control group.

Lipid Profile in Early and Late Stage among Patients with Nephrotic Syndrome-Related Chronic Kidney Disease in Dr. Hasan Sadikin General Hospital Bandung, Indonesia in 2016−2019

Background: Chronic kidney disease (CKD) is a major health problem in children with an increased prevalence globally. CKD is strongly associated with Nephrotic Syndrome (NS) and dyslipidemia, which become a progressive factor of CKD. This study aimed to describe the lipid profile of children with CKD and NS in Dr. Hasan Sadikin General Hospital Bandung, Indonesia.Methods: An observational-retrospective study was conducted with a cross-sectional design involving 150 medical records of children aged 1−18 years who were diagnosed with CKD with NS. Lipid profile data, including total cholesterol, triglycerides, LDL, and HDL, were collected from 2016−2019 using the total sampling method. Subjects with incomplete lipid profile data were excluded from the study.Results: Among the fifty-two children that were eligible and fulfilled the inclusion criteria, 88.5% were diagnosed with stage 1 CKD, and 32.7% were aged between 6−11 years and boys were predominant (67.3%). Lipid profile changes were found in the LDL, HDL, and total cholesterol serum levels between CKD stage I and II–V.Conclusions: Lipid profile of CKD pediatric patients with NS in Dr. Hasan Sadikin General Hospital Bandung in 2016−2019 showed hypertriglyceridemia and hypercholesterolemia. Most subjects were in stage I of CKD and Steroid-Resistant Nephrotic Syndrome, and comparison between stages of CKD and types of nephrotic syndrome is lacking. A prospective analytical study would be more reliable in proofing its significance.

Prognostic impact of lipid profile in adult Egyptian acute leukemia patients

Introduction: Acute leukemia is a malignant disorder which results from clonal proliferation of lymphoid and myeloid blast cells. Several studies have reported changes in lipid metabolism at the time of diagnosis of leukemia. Although investigators have reported decreased total cholesterol, decreased high-density lipoprotein, and elevated triglyceride (TG) in leukemic patients, there is a lack of agreement about these changes among different types of leukemia and between children and adult patients, in addition to different data about their impacts on prognosis. In this study, lipid profile has been examined at the time of diagnosis of acute leukemia in order to correlate it with response to therapy. Material and methods: This is a prospective study carried out at the Oncology Center at Mansoura University, Egypt between 2018 and 2019. Fifty patients newly diagnosed with de novo acute leukemia were included. Thirty-four patients were diagnosed with acute myeloid leukemia (AML) (68%), while 16 patients were diagnosed with acute lymphoblastic leukemia (ALL) (32%). Lipid profile and body mass index (BMI) data was obtained. Results: Overweight/obese patients showed a more statistically significant association with female patients than with male patients ( p = 0.009). By comparing the lipid profile between overweight/obese patients and other patients, there was no statistically significant association. 76.7% of AML patients were overweight or obese ( p = 0.015), and 81.3% of ALL patients showed hypertriglyceridemia ( p = 0.014). There was no statistically significant association between lipid profile and complete response (CR) rate; however, there was a marginally significant association between non-CR rate and overweight and obese patients ( p = 0.051). In addition, there was no impact of BMI or lipid profile on overall survival among acute leukemia patients. Conclusions: Female, and acute myeloid leukemia, patients were more commonly associated with overweight and obesity, and high TG level was found to be associated with acute lymphoid leukemia. Changes in lipid profile showed no impact on complete response rate or on overall survival in acute leukemia patients.

Renal and hepatic dysfunction parameters correlate positively with gender among patients with recurrent malaria cases in Birnin Kebbi, Northwest Nigeria

BackgroundSimultaneous increase in transaminases and bilirubin is an indicator of hepatic dysfunction in malaria. Malaria-induced hyperbilirubinemia has been associated with acute kidney injury and pathogenesis of cerebral malaria which are significantly associated with mortality in malaria infection. This retrospective study was designed to assess the lipid profile, and hematological, renal and hepatic function data of malaria patients in Sir Yahaya Memorial hospital Birnin Kebbi from 2016 to 2020 who are 18 years and above.MethodsThe data of all patients between 2016 and 2020 who are 18 years and above were collected. Complete data of 370 subjects who met the inclusion criteria which consist of 250 malaria subjects and 120 control subjects were analyzed.ResultsThe results showed that females constitute 65.2% of malaria patients with complete records while the remaining 34.8% were males. Age distribution of the patients showed that the infection was more prevalent among 26–45 years and least among 65 years and above. Anemia and thrombocytopenia were prevalent among the female malaria patients compared to the male patients. Liver and kidney function parameters analyzed correlate positively with the gender. The infected male showed higher dysfunction in liver parameters while infected female patients showed significant dysfunction in kidney function parameters and lipid profile.ConclusionsIn conclusion, to prevent the potential widespread of acute renal and hepatic failure with the attendant morbidity and mortality among malaria patients, it is recommended that liver and kidney function tests be mandated for patients with recurring malaria and those with a history of treatment failure in the endemic area to ensure early diagnosis of malarial induced kidney and liver injury among malaria patients.

Familial Hypercholesterolemia Identification by Machine Learning Using Lipid Profile Data Performs as Well as Clinical Diagnostic Criteria.

Familial hypercholesterolemia (FH) is a common genetic disorder and, if not diagnosed and treated early, results in premature cardiovascular disease. Most individuals with FH are undiagnosed and machine learning offers a new prospect to improve FH identification. Our objective was to create a machine learning model from basic lipid profile data with better screening performance than LDL-C (low-density lipoprotein cholesterol) cutoff levels and diagnostic performance comparable to the Dutch Lipid Clinic Network criteria. The model was developed combining logistic regression, deep learning, and random forest classification and trained on a 70% split of a data set of individuals clinically suspected of having FH. Model performance, as well as that of the LDL-C cutoff and Dutch Lipid Clinic Network criteria, were assessed on the internal 30% testing data set and an external data set by comparing the area under the receiver operator characteristic (AUROC) curves. All methodologies were measured against the gold standard of FH diagnosis by mutation identification. Furthermore, the model was also tested on 2 lower prevalence data sets. The machine learning model achieved an AUROC curve of 0.711 on the external data set (n=1376; FH prevalence=64%), which was superior to the LDL-C cutoff (AUROC=0.642) and comparable to the Dutch Lipid Clinic Network criteria (AUROC=0.705). The model performed even better when tested on the medium-prevalence (n=2655; FH prevalence=20%) and low-prevalence (n=1616; FH prevalence=1%) data sets, with AUROC curve values of 0.801 and 0.856, respectively. Despite absence of clinical information, the model better identified genetically confirmed FH in a cohort of individuals suspected of having FH than LDL-C cutoff values and was comparable to the Dutch Lipid Clinic Network criteria. The model achieved higher accuracy when tested on 2 cohorts with lower FH prevalence. The application of machine learning is, therefore, a promising tool in both the screening for, and diagnosis of, individuals with FH.