Serum Lipids Profiling Perturbances in Patients with Ischemic Heart Disease and Ischemic Cardiomyopathy

2020 ◽  
Author(s):  
Lin Yang ◽  
Liang Wang ◽  
Yangyang Deng ◽  
Lizhe Sun ◽  
Bowen Low ◽  
...  

Abstract Background: Ischemic heart disease (IHD) is a common cardiovascular disorder associated with inadequate blood supply to the myocardium. Chronic coronary ischemia leads to ischemic cardiomyopathy (ICM). Despite their rising prevalence and morbidity, few studies have discussed the lipids alterations in these patients. Methods: In this cross-sectional study, we analyzed serum lipids profile in IHD and ICM patients using a lipidomics approach. Consecutive consenting patients admitted to the hospital for IHD and ICM were enrolled. Serum samples were obtained after overnight fasting. Non-targeted metabolomics was applied to demonstrate lipids metabolic profile in control, IHD and ICM patients. Results: A total of 63 and 62 lipids were detected in negative and positive ion mode respectively. Among them, 16:0 Lyso PI, 18:1 Lyso PI in negative ion mode, and 19:0 Lyso PC, 12:0 SM d18:1/12:0, 15:0 Lyso PC, 17:0 PC, 18:1-18:0 PC in positive ion mode were significantly altered both in IHD and ICM as compared to control. 13:0 Lyso PI, 18:0 Lyso PI, 16:0 PE, 14:0 PC DMPC, 16:0 ceramide, 18:0 ceramide in negative ion mode, and 17:0 PE, 19:0 PC, 14:0 Lyso PC, 20:0 Lyso PC, 18:0 PC DSPC, 18:0-22:6 PC in positive ion mode were significantly altered only in ICM as compared to IHD and control. Conclusion: Using non-targeted lipidomics profiling, we have successfully identified a group of circulating lipids that were significantly altered in IHD and ICM. The lipids metabolic signatures shed light on potential new biomarkers and therapeutics for preventing and treating ICM.

2019 ◽  
Author(s):  
Lin Yang ◽  
Liang Wang ◽  
Yangyang Deng ◽  
Lizhe Sun ◽  
Bowen Low ◽  
...  

Abstract Background: Ischemic heart disease(IHD) is a common cardiovascular disorder associated with inadequate blood supply to the myocardium. Chronic coronary ischemia leads to ischemic cardiomyopathy (ICM). Despite their rising prevalence and morbidity, few studies have discussed the lipids alterations in these patients. Methods: In this cross-sectional study, we analyzed serum lipids profile in IHD and ICM patients using a lipidomics approach. Consecutive patients admitted to the hospital for stable IHD and ICM were enrolled. Serum samples were obtained after overnight fasting. Nontargeted metabolomics was applied to demonstrate lipids metabolic profile in control, stable IHD and ICM patients. Results: A total of 63 and 62 lipids were detected in negative and positive ion mode respectively. Among them, 16:0 Lyso PI, 18:1 Lyso PI in negative ion mode, and 19:0 Lyso PC, 12:0 SM d18:1/12:0, 15:0 Lyso PC, 17:0 PC, 18:1-18:0 PC in positive ion mode were significantly altered both in IHD and ICM as compared to control. 13:0 Lyso PI, 18:0 Lyso PI, 16:0 PE, 14:0 PC DMPC, 16:0 ceramide, 18:0 ceramide in negative ion mode, and 17:0 PE, 19:0 PC, 14:0 Lyso PC, 20:0 Lyso PC, 18:0 PC DSPC, 18:0-22:6 PC in positive ion mode were significantly altered only in ICM as compared to IHD and control. Conclusion: Using non-targeted metabolomic profiling, we have successfully identified a group of circulating lipids that were significantly altered in stable IHD and ICM. The lipids metabolic signatures shed light on potential new biomarkers and therapeutics for preventing and treating ICM.


2020 ◽  
Author(s):  
Lin Yang ◽  
Liang Wang ◽  
Yangyang Deng ◽  
Lizhe Sun ◽  
Bowen Low ◽  
...  

Abstract Background: Ischemic heart disease(IHD) is a common cardiovascular disorder associated with inadequate blood supply to the myocardium. Chronic coronary ischemia leads to ischemic cardiomyopathy (ICM). Despite their rising prevalence and morbidity, few studies have discussed the lipids alterations in these patients. Methods: In this cross-sectional study, we analyzed serum lipids profile in IHD and ICM patients using a lipidomics approach. Consecutive patients admitted to the hospital for stable IHD and ICM were enrolled. Serum samples were obtained after overnight fasting. Nontargeted metabolomics was applied to demonstrate lipids metabolic profile in control, stable IHD and ICM patients. Results: A total of 63 and 62 lipids were detected in negative and positive ion mode respectively. Among them, 16:0 Lyso PI, 18:1 Lyso PI in negative ion mode, and 19:0 Lyso PC, 12:0 SM d18:1/12:0, 15:0 Lyso PC, 17:0 PC, 18:1-18:0 PC in positive ion mode were significantly altered both in IHD and ICM as compared to control. 13:0 Lyso PI, 18:0 Lyso PI, 16:0 PE, 14:0 PC DMPC, 16:0 ceramide, 18:0 ceramide in negative ion mode, and 17:0 PE, 19:0 PC, 14:0 Lyso PC, 20:0 Lyso PC, 18:0 PC DSPC, 18:0-22:6 PC in positive ion mode were significantly altered only in ICM as compared to IHD and control. Conclusion: Using non-targeted metabolomic profiling, we have successfully identified a group of circulating lipids that were significantly altered in stable IHD and ICM. The lipids metabolic signatures shed light on potential new biomarkers and therapeutics for preventing and treating ICM.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Lin Yang ◽  
Liang Wang ◽  
Yangyang Deng ◽  
Lizhe Sun ◽  
Bowen Lou ◽  
...  

2017 ◽  
Vol 63 (3) ◽  
pp. 252-260 ◽  
Author(s):  
Moacyr Roberto Cuce Nobre ◽  
Rachel Zanetta de Lima Domingues

Summary Introduction: The effectiveness of the treatment of chronic diseases depends on the participation of the patient, influenced by different sociocultural factors, which are not fully recognized by the treatment routine. Objective: To search for some of these factors that hinder or facilitate adherence to treatment and use of healthcare resources, approaching patients with ischemic heart disease. Method: A cross-sectional study was conducted using face-to-face interviews. We applied semi-structured questionnaires to 347 individuals and recorded 141 interviews for qualitative analysis. Descriptors were selected to identify eight categories of analyses. The quantitative data were submitted to descriptive analysis of frequency. Results: Only 2% had good medication adherence according to score on Morisky questionnaire. About 23% bought statins; the others obtained statin in the public health institution. Thirty-six speeches were selected and classified according to the following categories: knowledge about disease and medication, difficulty of acquisition, self management of treatment, difficulties of access to health services, side effect of statins, caregiver support, transportation to health services and concerns about the disease progression. However, it was noticed that about 1/3 of the care outside the research institution can be characterized as an attempt to bring rationalization to the health system. Conclusion: The improved adherence to chronic treatment of ischemic heart disease depends on the establishment of effective flows for referral and counter-referral from one care unit to another, relevant information and clarification of the questions for the patients and the attention of health professionals to the many social and cultural factors involved in treatment adherence. New research should be focused on educational groups by integrated multidisciplinary teams in order to share treatment decisions, thereby increasing the patient's commitment to his own health.


2018 ◽  
Vol 11 (4) ◽  
pp. 1967-1974
Author(s):  
Praveen Panchaksharimath ◽  
A. N. Praveen ◽  
R. Manjunath

Drug utilization study is a powerful exploratory tool to evaluate the present trends of drug prescribing and appropriateness of prescription. To analyse the age and gender related differences in utilization of different classes of drugs in patients for Ischemic heart disease (IHD) management. This cross-sectional observational study was conducted from August 2017 to March 2018 in Cardiology department, PMSSY, BMC&RI, Bengaluru. The demographic, and drug prescription data of IHD patients were analyzed according to age group (18–59 years versus ≥ 60 years) and gender wise. Out of 520 patients diagnosed with IHD, 68% were male patients and 60% were aged ≥ 60 years. The most common co-morbid condition was Hypertension (66%) and was significant in patients aged ≥ 60 years (P= 0.0033). Anti-platelet drugs (100%) followed by Lipid lowering drugs (96%) were most commonly prescribed. The average number of drugs per prescription was found to be 6.44. Prescription of Dual anti-platelet therapy was found to be significant among men (<0.0001). Prescription of Diuretics (p = 0.045) and Pregabalin (p = 0.031) were significantly higher among females and Prescription of Angiotensin receptor blockers (ARBs) was significantly higher among those aged 18–59 years. Hypertension and Diabetes Mellitus were the most common co-morbidities observed with IHD. ARBs, Diuretics, Proton pump inhibitors, Anti Diabetic Agents and Pregabalin showed significant differences in the drug utilization with respect to age and gender. Dual anti-platelet therapy was observed to be significantly higher among males. This study has been registered in CTRI (CTRI/2018/05/013949).


2020 ◽  
Author(s):  
Kamal Khademvatani ◽  
Amin Sedokani ◽  
Sima Masudi ◽  
Parisa Nejati ◽  
Mir Hossein Seyed-Mohammadzad ◽  
...  

AbstractAimMyocardial infarction (MI) is one of the most important cardiovascular diseases. A trigger is an external stimulus, potential to create a pathological change leading to a clinical event. In addition to classic risk factors of ischemic heart disease and myocardial infarction, MI triggers play critical roles in the incidence of acute MI.Methods and ResultsThis is a cross-sectional study of 254 patients with the first acute myocardial infarction referring to Seyedoshohada heart center of Urmia, Iran were enrolled in the study within one year of study. After 48h of hospitalization and, treatment, and cardiac caring, the patients were provided with the questionnaire to collecting the history of the disease ad triggers. In addition to laboratory and paraclinical data, the analysis of the study was performed. Out of 220 (86.4%) patients with STEMI and 34 (13.6%) patients with NSTEMI, there were significant differences (P-value <0.05) in AMI triggers with LVEF (0.03), gender (0.027), residency and living area (0.039), occupation (0.002), smoking (0.008), abnormal serum TG levels (0.018) and the season of AMI occurrence (0.013). The mean age for AMI patients was 60.4±12.97 years old with a mean BMI of 26.65±4.35 kg/m2.ConclusionIn addition to classic risk factors of ischemic heart disease and myocardial infarction, health care systems and physicians must pay more attention to triggers that may induce an acute myocardial infarction in people with predisposing factors especially in the male sex, stressful and hand working jobs, and psychological and mental tension patients.


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