scholarly journals Low-density lipoprotein apolipoprotein B100 turnover in hypopituitary patients with GH deficiency: a stable isotope study

2006 ◽  
Vol 154 (3) ◽  
pp. 459-466 ◽  
Author(s):  
Emanuel R Christ ◽  
Michael H Cummings ◽  
Michael Stolinski ◽  
Nicola Jackson ◽  
Peter J Lumb ◽  
...  

Background: Epidemiological studies suggest that hypopituitary patients have an increased risk for cardiovascular mortality. The dyslipidaemia associated with this condition is often characterised by an increase in total cholesterol (TC) and low-density lipoprotein (LDL) cholesterol (LDL-C) and may contribute to these findings. The underlying mechanisms are not fully elucidated. Materials and Methods: LDL apolipoprotein B (apoB) production rate and metabolic clearance rate were measured in seven patients with hypopituitarism (including GH deficiency) under stable conventional replacement therapy (three males and four females; age 40–16.1 years; body mass index 29.0–6.1 kg/m2 (means ± s.d.)) and seven age-, gender- and body mass index-matched control subjects with an infusion of 1-13C-leucine. Fasting lipid profile and lipid composition of LDL were also measured. Results: Fasting TC, triglycerides (TG), high-density lipoprotein-C, LDL-C and free fatty acid concentrations were not different between hypopituitary patients and control subjects. LDL-TG (P < 0.006) and LDL-TG/LDL apoB ratio (P < 0.02) were significantly increased in hypopituitary patients. LDL apoB pool size was not statistically different between patients and control subjects. In the hypopituitary patients, LDL apoB metabolic clearance rate (P < 0.05) and LDL apoB production rate (P < 0.02) were lower than in the control subjects. Conclusions: The present results suggest that LDL apoB turnover and LDL composition is altered in hypopituitary patients. Whether these findings explain the increased risk for cardiovascular disease in hypopituitary patients remains to be established.

Author(s):  
Franziska Grundler ◽  
Dietmar Plonné ◽  
Robin Mesnage ◽  
Diethard Müller ◽  
Cesare R. Sirtori ◽  
...  

Abstract Purpose Dyslipidemia is a major health concern associated with an increased risk of cardiovascular mortality. Long-term fasting (LF) has been shown to improve plasma lipid profile. We performed an in-depth investigation of lipoprotein composition. Methods This observational study included 40 volunteers (50% men, aged 32–65 years), who underwent a medically supervised fast of 14 days (250 kcal/day). Changes in lipid and lipoprotein levels, as well as in lipoprotein subclasses and particles, were measured by ultracentrifugation and nuclear magnetic resonance (NMR) at baseline, and after 7 and 14 fasting days. Results The largest changes were found after 14 fasting days. There were significant reductions in triglycerides (TG, − 0.35 ± 0.1 mmol/L), very low-density lipoprotein (VLDL)-TG (− 0.46 ± 0.08 mmol/L), VLDL-cholesterol (VLDL-C, − 0.16 ± 0.03 mmol/L) and low-density lipoprotein (LDL)-C (− 0.72 ± 0.14 mmol/L). Analysis of LDL subclasses showed a significant decrease in LDL1-C (− 0.16 ± 0.05 mmol/L), LDL2-C (− 0.30 ± 0.06 mmol/L) and LDL3-C (− 0.27 ± 0.05 mmol/L). NMR spectroscopy showed a significant reduction in large VLDL particles (− 5.18 ± 1.26 nmol/L), as well as large (− 244.13 ± 39.45 nmol/L) and small LDL particles (− 38.45 ± 44.04 nmol/L). A significant decrease in high-density lipoprotein (HDL)-C (− 0.16 ± 0.04 mmol/L) was observed. By contrast, the concentration in large HDL particles was significantly raised. Apolipoprotein A1 decreased significantly whereas apolipoprotein B, lipoprotein(a), fibrinogen and high-sensitivity C-reactive protein were unchanged. Conclusion Our results suggest that LF improves lipoprotein levels and lipoprotein subclasses and ameliorates the lipoprotein-associated atherogenic risk profile, suggesting a reduction in the cardiovascular risk linked to dyslipidemia. Trial Registration Study registration number: DRKS-ID: DRKS00010111 Date of registration: 03/06/2016 “retrospectively registered”.


2020 ◽  
Vol 7 (4) ◽  
pp. 586
Author(s):  
Janak G. Chokshi ◽  
Apal P. Gandhi ◽  
Ishvarlal M. Parmar ◽  
Dipen R. Damor

Background: Diabetes mellitus (DM) is a syndrome consisting of metabolic, vascular and neuropathic components that are interrelated. Diabetes mellitus is associated with a considerably increased risk of premature atherosclerosis, particularly coronary heart disease (CHD) and peripheral arterial disease. Dyslipidemia is a common feature of diabetes. There is an association between atherosclerotic cardiovascular disease and serum cholesterol and triglyceride levels in both type 1 and type 2 diabetes.Methods: The study was done on 50 adult diabetes mellitus (T2) patients from IPD of General Medicine wards at SMS Hospital, Ahmedabad, Gujarat. 50 healthy age and sex matched healthy volunteers were taken as control. They were evaluated for lipid profile i.e., Total Cholesterol (TC),Triglyceride (TG), Low-density lipoprotein (LDL), High density lipoprotein (HDL), Very low density lipoprotein (VLDL) and glycemic status i.e., Fasting blood glucose (FBS), Postprandial 2 hours blood glucose (PP2BS) & Glycosylated haemoglobin(HbA1C).Results: Diabetic cases had statistically highly significant (p<0.001) elevated levels of total Cholesterol, Triglycerides and VLDL as compared to controls. Serum TG, serum TC, LDL-C and VLDL-C had positive correlation with the postprandial plasma glucose, fasting plasma glucose and HbA1c.Conclusions: Significant correlations between HbA1c levels and lipid levels point towards the usefulness of HbA1c for screening high-risk diabetic patients. High TC, TG, LDL-C and HbA1c with normal or low HDL-C is seen in almost all diabetic patients either alone or in combinations.


e-CliniC ◽  
2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Pradika H. Koampa ◽  
Karel Pandelaki ◽  
Marthen C.P. Wongkar

Abstract: Body Mass Index (BMI) is a measurement of nutritional status by calculating the ratio of height and weight. Type 2 Diabetes Mellitus (T2DM) is more common in a person with a BMI of more than normal. In patients with T2DM, there is lipid metabolism disorder, dyslipidaemia. Changes in lipid profiles consist of increased levels of total cholesterol, Low Density Lipoprotein (LDL), and triglycerides, and decreased levels of High Density Lipoprotein (HDL). This study aimed to obtain the correlation between body mass index and lipid profile in T2DM patients in Prof. Dr. R. D. Kandou Hospital Manado. This was a descriptive analytical study using patients’ medical record in Endocrine Clinic Prof. Dr. R. D. Kandou Hospital Manado from September to November 2015. The Pearson correlation test showed correlations between BMI and total cholesterol levels with r=0.037and p=0.763; between BMI and HDL levels with r=-0.249 and p=0.039; between BMI and LDL levels with r=0.091 and p=0,455; and between BMI and triglyceride levels with r=0.179 and p=0.142. Conclusion: Among T2DM patients, there were no significant correlations between body mass index and total cholesterol, LDL cholesterol, as wello as triglyceride levels. However, there was a significant correlation between body mass index and HDL levels. Keywords: body mass index, total cholesterol, HDL, LDL, triglycerides, T2DM Abstrak: Indeks Massa Tubuh (IMT) merupakan salah satu pengukuran status gizi dengan menghitung perbandingan tinggi badan dan berat badan. Diabetes Melitus Tipe 2 (DMT2) lebih sering terjadi pada individu dengan IMT lebih dari normal. Pada pasien DMT2 terjadi gangguan metabolisme lipid yaitu dislipidemia. Perubahan profil lipid yang terjadi yaitu peningkatan kadar Kolesterol Total, Low Density Lipoprotein (LDL), dan trigliserida, serta penurunan kadar High Density Lipoprotein (HDL). Penelitian ini bertujuan untuk mengetahui hubungan antara IMT dengan profil lipid pada pasien DMT2di RSUP Prof. Dr. R. D. Kandou Manado. Jenis penelitian ini deskriptif analitik dengan menggunakan data rekam medik pasien di Poliklinik Endokrin Bagian/SMF Ilmu Penyakit Dalam RSUP. Prof. Dr. R. D. Kandou Manado periode September – November 2015. Hasil uji korelasi Pearson memperlihatkan nilai hubungan antara IMT dan kadar kolesterol total r = 0,037 dan p = 0,763 ; nilai hubungan antara IMT dan kadar HDL r = -0,249 dan p = 0,039 ; nilai hubungan antara IMT dan kadar LDL r = 0,091 dan p = 0,455; serta nilai hubungan antara IMT dan kadar trigliserida r = 0,179 dan p = 0,142. Simpulan: Pada pasien DMT2 tidak dijumpai hubungan bermakna antara IMT dengan kadar kolesterol total, kadar LDL, dan kadar trigliserida, namun terdapat hubungan bermakna antara IMT dengan kadar HDL.Kata kunci: IMT, kolesterol total, HDL, LDL, trigliserida, DMT2


2020 ◽  
pp. 204748732090433 ◽  
Author(s):  
Mariann I Lassenius ◽  
Iiro Toppila ◽  
Susanne Bergius ◽  
Julia Perttilä ◽  
KE Juhani Airaksinen ◽  
...  

Aims The study evaluated the quality of cardiovascular prevention in real-world clinical practice. The recurrence of up to five cardiovascular events was assessed, as data on recurrence beyond the first event and interindividual variations in event rates past the second event have been sparse. Low-density lipoprotein cholesterol concentrations and lipid-lowering therapy use were investigated. Methods This retrospective register-based study included adult patients with an incident cardiovascular event between 2004 and 2016 treated in the hospital district of southwest Finland. Patients were followed for consecutive cardiovascular events or cardiovascular death, low-density lipoprotein cholesterol and statin purchases. The timing of event recurrence was evaluated, and predictive factors were assessed. Results A wide interindividual variation in cardiovascular event recurrence was observed, each additional event caused an increased risk, the median time of recurrence decreased from 7 to one year for the second and fifth event. Event rates increased correspondingly from 12 to 43/100 patient-years and were most pronounced in the first years following the previous event. The low-density lipoprotein cholesterol goal (<1.8 mmol/l) was reached by 18% in the year after the event and statin underuse was associated with an increased risk of recurrence. Six months after the index event high intensity statins were used by only 22% of the cohort. Conclusion The study provides new perspectives on individual risk assessment showing that event rates are not stable for all patients but increase 1.2–1.9-fold per consecutive event. The underuse of statins and poor adherence support the identification of these patients for intensified multifactorial preventive measures.


2008 ◽  
Vol 179 (4S) ◽  
pp. 150-150
Author(s):  
Kelvin A Moses ◽  
Thura T Abd ◽  
John A Hall ◽  
Michael Goodman ◽  
Muta M Issa ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2894 ◽  
Author(s):  
Mohammed H. Moghadasian ◽  
Ramandeep Kaur ◽  
Kayla Kostal ◽  
Akhila A. Joshi ◽  
Mahboubeh Molaei ◽  
...  

Background and aim: We previously reported the anti-atherogenic properties of wild rice in low-density lipoprotein receptor knockout (LDL-r-KO) mice. The present study aimed to discover the mechanism of action for such effects. Materials: Fecal and plasma samples from the wild rice treated and control mice were used. Fecal bacterial population was estimated while using 16S rDNA technology. The plasma samples were used to estimate the levels of 35 inflammatory markers and metabolomics, while using Meso Scale multiplex assay and liquid chromatography-mass spectrometry (LC-MS/MS) techniques. Results: Many bacteria, particularly Anaeroplasma sp., Acetatifactor sp., and Prophyromonadaceae sp., were found in higher quantities in the feces of wild rice fed mice as compared to the controls. Cytokine profiles were significantly different between the plasma of treated and control mice. Among them, an increase in the level of IL-10 and erythropoietin (EPO) could explain the anti-atherogenic properties of wild rice. Among many metabolites tested in plasma of these animals, surprisingly, we found an approximately 60% increase in the levels of glucose in the wild rice fed mice as compared to that in the control mice. Conclusion: Additional studies warrant further investigation of the interplay among gut microbiome, inflammatory status, and macronutrient metabolism.


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