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Liao T, Weng YH, He J, Chen MR, Chen Y, Qi ZQ, Zhang ZM. A genetic variant of the glutamate-cysteine ligase catalytic subunit is associated with susceptibility to ischemic stroke in the Chinese population. Eur J Med Res 2025; 30:421. [PMID: 40420234 DOI: 10.1186/s40001-025-02688-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2025] [Accepted: 05/14/2025] [Indexed: 05/28/2025] Open
Abstract
BACKGROUND A pathogenetic factor of ischemic stroke (IS) is oxidative stress. As a rate-limiting enzyme constituent in the glutathione synthetic pathway, the glutamate-cysteine ligase catalytic subunit (GCLC) exerts a crucial effect on the redox homeostasis. Several studies have shown that variants of the GCLC gene are related to susceptibility to various diseases. However, the association between GCLC single nucleotide polymorphisms (SNPs) and IS susceptibility has rarely been explored in the Chinese population. This study investigated the correlation of GCLC SNPs with the IS susceptibility in a southern Han Chinese population. METHODS In this study, 400 controls and 388 IS patients were enrolled, and clinical data were collected. Six polymorphisms at GCLC were genotyped using an SNPscan kit. RESULTS The results revealed that rs12524494 GG at GCLC was linked to a markedly lowered probability of IS development (GG vs. AA: adjusted OR = 0.42, 95% CI, 0.20-0.91, p = 0.027; GG vs. AG + AA: adjusted OR = 0.41, 95% CI, 0.19-0.86, P = 0.018). Lipid analysis results revealed lower high-density lipoprotein (HDL) levels (p = 0.017) along with higher triglyceride (TG) levels (p = 0.006) in IS patients with rs51008 GG. Moreover, higher homocysteine (Hcy) levels were detected in controls than in patients (p < 0.0001). Both controls and patients with rs12524494 GG had significantly lower Hcy levels than their counterparts who carried rs12524494 AA/AG (P < 0.05). CONCLUSIONS These results indicated that rs12524494 GG may be linked to decreasing IS susceptibility. The identified rs12524494 GG may serve as a potential biomarker for predicting IS susceptibility in the Chinese population, which could inform personalized medicine approaches for stroke prevention and treatment.
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Affiliation(s)
- Tao Liao
- School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China
| | - Yin-Hua Weng
- School of Clinical Medicine, Guilin Medical University, Guilin, 541004, Guangxi, China
- Department of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570311, Hainan, China
| | - Jiang He
- Acupuncture and Moxibustion and Tuina College, Guangxi University of Chinese Medicine, Nanning, 530200, Guangxi, China
| | - Mei-Rong Chen
- School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China
- The Affiliated Hospital of Guilin Medical University, Guilin, 541001, Guangxi, China
| | - Yu Chen
- Department of Rheumatology, Guilin Medical University, Guilin, 541004, Guangxi, China
| | - Zhong-Quan Qi
- School of Medicine, Guangxi University, Nanning, 530004, Guangxi, China.
- Fujian Maternity and Child Health Hospital, Fuzhou, 350001, Fujian, China.
- Stem Cell Therapy Research Center, Fuzhou, 350001, Fujian, China.
| | - Zheng-Mian Zhang
- Fujian Maternity and Child Health Hospital, Fuzhou, 350001, Fujian, China.
- Stem Cell Therapy Research Center, Fuzhou, 350001, Fujian, China.
- College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China.
- Fujian Provincial Human Sperm Bank, Fuzhou, 350001, Fujian, China.
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Cao J, Liu J, Yu K, Huang Z, Lv S, Zeng W. Non-linear relationship between arteriosclerosis index and diabetes risk in non-obese east Asian adults. Sci Rep 2025; 15:5649. [PMID: 39955361 PMCID: PMC11830033 DOI: 10.1038/s41598-025-89849-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2024] [Accepted: 02/07/2025] [Indexed: 02/17/2025] Open
Abstract
Previous studies have shown a positive association between the arteriosclerosis index (AI) and future diabetes risk. However, evidence in non-obese populations is limited. This study investigates the relationship between AI and future diabetes risk in non-obese East Asian adults. This retrospective cohort study enrolled 95,402 non-obese adults from China and Japan. Participants had a mean age of 42.92 ± 12.24 years, with 51,295 (53.77%) being male. Median follow-up was 3.01 years. Cox proportional hazards models assessed the association between baseline AI and diabetes risk. Non-linear associations were explored using cubic splines and smoothed curves in Cox models. Sensitivity analyses were performed. After adjusting for covariates, a positive association was found between AI and diabetes risk in non-obese adults (HR 1.09, 95% CI 1.03-1.15, P = 0.0017). A non-linear relationship was identified, with an inflection point at 1.47. Below this point, HR was 5.87 (95% CI 1.20-28.63, P = 0.0287); above, it was 1.07 (95% CI 1.02-1.13, P = 0.0115). Sensitivity analyses affirmed the robustness of these results. This study identifies a positive, non-linear association between the AI and diabetes risk in non-obese adults. Interventions targeting AI reduction could significantly lower the risk of future diabetes in this population.
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Affiliation(s)
- Jun Cao
- Department of Cardiology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital (Gannan Medical University Affiliated Municipal Hospital), Ganzhou, 341000, China
| | - Jitong Liu
- Department of Anesthesiology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, 410005, China
| | - Ke Yu
- Department of Pulmonary and Critical Care Medicine, Shenzhen Second People's Hospital & The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China
| | - Zhenhua Huang
- Department of Emergency Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China
| | - Shunrong Lv
- Department of Emergency Medicine, Pengpai Memorial Hospital, Shanwei, 516499, China.
| | - Wenfei Zeng
- Department of Anesthesiology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, 410005, China.
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Masic N, Begic E, Aziri B, Mehmedika-Suljić E, Mahmutbegović N, Fajkic A, Lepara O, Krupic F. Hemorrhagic stroke and atherogenic markers - is there any relation? J Family Med Prim Care 2024; 13:5145-5151. [PMID: 39722961 PMCID: PMC11668465 DOI: 10.4103/jfmpc.jfmpc_756_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 06/17/2024] [Accepted: 07/05/2024] [Indexed: 12/28/2024] Open
Abstract
Background The triglyceride/high-density lipoprotein (TG/HDL) ratio emerges as a promising marker for cardiovascular risk. However, the relationship between overall serum lipid levels and hemorrhagic stroke (HS) remains uncertain. Therefore, our study aims to explore the association between this novel index and mortality in HS patients. Methods Utilizing a retrospective-prospective framework from January 2020 to August 2023, we scrutinized data from 104 hospitalized patients diagnosed with HS, with particular attention to their medical backgrounds and lipid profiles. Results Age (odds ratio [OR], 1.078; 95% confidence interval [CI], 1.032-1.125; P = 0.001), atrial fibrillation (OR, 0.237; 95% CI, 0.074-0.760; P = 0.015), glucose level (OR, 1.121; 95% CI, 1.007-1.247; P = 0.037), and TG/HDL index (OR, 0.368; 95% CI, 0.173-0.863; P = 0.020) emerged as independent predictors for in-hospital mortality, as determined by both univariable and multivariable logistic regression analyses. Conclusion Our results add weight to the growing evidence backing the utility of the TG/HDL index in assessing cardiovascular risk among HS patients. They emphasize the necessity of adopting a comprehensive risk assessment and management strategy that incorporates both traditional markers and novel indicators.
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Affiliation(s)
- Nejra Masic
- Neurology Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Edin Begic
- Department of Cardiology, General Hospital “Prim. Dr. Abdulah Nakas”, Sarajevo, Bosnia and Herzegovina
- Department of Pharmacology, Sarajevo Medical School, Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina
| | - Buena Aziri
- Department of Pharmacology, Sarajevo Medical School, Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina
| | - Enra Mehmedika-Suljić
- Neurology Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Nevena Mahmutbegović
- Neurology Clinic, Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Almir Fajkic
- Faculty of Medicine, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Orhan Lepara
- Faculty of Medicine, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Ferid Krupic
- Department of Anaesthesiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahlgrenska Universitetssjukhuset, Gothenburg, Sweden
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Kim H, Kim JT, Lee JS, Kim BJ, Kang J, Lee KJ, Park JM, Kang K, Lee SJ, Kim JG, Cha JK, Kim DH, Park TH, Lee K, Lee J, Hong KS, Cho YJ, Park HK, Lee BC, Yu KH, Oh MS, Kim DE, Choi JC, Kwon JH, Kim WJ, Shin DI, Yum KS, Sohn SI, Hong JH, Lee SH, Park MS, Ryu WS, Park KY, Lee J, Saver JL, Bae HJ. Impact of non-traditional lipid profiles on 1-year vascular outcomes in ischemic stroke patients with prior statin therapy and LDL-C < 100 mg/dL. Sci Rep 2024; 14:22794. [PMID: 39354143 PMCID: PMC11448496 DOI: 10.1038/s41598-024-73851-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 09/20/2024] [Indexed: 10/03/2024] Open
Abstract
This study aimed to investigate the association between non-traditional lipid profiles and the risk of 1-year vascular events in patients who were already using statins before stroke and had admission LDL-C < 100 mg/dL. This study was an analysis of a prospective, multicenter, nationwide registry of consecutive patients with acute ischemic stroke patients who treated with statin before index stroke and LDL-C < 100 mg/dL on admission. Non-traditional lipid profiles including non-HDL, TC/HDL ratio, LDL/HDL ratio, and TG/HDL ratio were analyzed as a continuous or categorical variable. The primary vascular outcome within one year was a composite of recurrent stroke (either hemorrhagic or ischemic), myocardial infarction (MI) and all-cause mortality. Hazard ratios (95% Cis) for 1-year vascular outcomes were analyzed using the Cox PH model for each non-traditional lipid profiles groups. A total of 7028 patients (age 70.3 ± 10.8years, male 59.8%) were finally analyzed for the study. In unadjusted analysis, no significant associations were observed in the quartiles of LDL/HDL ratio and 1-year primary outcome. However, after adjustment of relevant variables, compared with Q1 of the LDL/HDL ratio, Q4 was significantly associated with increasing the risk of 1-year primary outcome (HR 1.48 [1.19-1.83]). For the LDL/HDL ratio, a linear relationship was observed (P for linearity < 0.001). Higher quartiles of the LDL/HDL ratio were significantly and linearly associated with increasing the risk of 1-year primary vascular outcomes. These findings suggest that even during statin therapy with LDL-C < 100 mg/dl on admission, there should be consideration for residual risk based on the LDL/HDL ratio, following stroke.
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Affiliation(s)
- Hyunsoo Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jebongro, Dong-gu, Gwangju, 61469, South Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jebongro, Dong-gu, Gwangju, 61469, South Korea.
| | - Ji Sung Lee
- Clinical Research Center, Asan Medical Center, Asan Institute for Life Sciences, University of Ulsan College of Medicine, Seoul, South Korea
| | - Beom Joon Kim
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jihoon Kang
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, South Korea
| | - Jong-Moo Park
- Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si, South Korea
| | - Kyusik Kang
- Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, South Korea
| | - Soo Joo Lee
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, South Korea
| | - Jae Guk Kim
- Department of Neurology, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, South Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University Hospital, Busan, South Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, South Korea
| | - Kyungbok Lee
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, South Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, South Korea
| | - Keun-Sik Hong
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Yong-Jin Cho
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Hong-Kyun Park
- Department of Neurology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, South Korea
| | - Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, South Korea
| | - Jee-Hyun Kwon
- Department of Neurology, Ulsan University College of Medicine, Ulsan, South Korea
| | - Wook-Joo Kim
- Department of Neurology, Ulsan University College of Medicine, Ulsan, South Korea
| | - Dong-Ick Shin
- Department of Neurology, Chungbuk National University College of Medicine and Chungbuk National University Hospital, Cheongju, South Korea
| | - Kyu Sun Yum
- Department of Neurology, Chungbuk National University College of Medicine and Chungbuk National University Hospital, Cheongju, South Korea
| | - Sung Il Sohn
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Jeong-Ho Hong
- Department of Neurology, Keimyung University Dongsan Medical Center, Daegu, South Korea
| | - Sang-Hwa Lee
- Department of Neurology, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon-si, Gangwon-do, South Korea
| | - Man-Seok Park
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jebongro, Dong-gu, Gwangju, 61469, South Korea
| | - Wi-Sun Ryu
- Artificial Intelligence Research Center, JLK Inc., Seoul, South Korea
| | - Kwang-Yeol Park
- Department of Neurology, Chung-Ang University College of Medicine, Chung-Ang University Hospital, Seoul, South Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea
| | - Jeffrey L Saver
- Department of Neurology and Comprehensive Stroke Center, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Hee-Joon Bae
- Department of Neurology, Cerebrovascular Center, Seoul National University Bundang Hospital, Seongnam, South Korea.
- Department of Neurology, Cerebrovascular Disease Center, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173 beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
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Filtz A, Parihar S, Greenberg GS, Park CM, Scotti A, Lorenzatti D, Badimon JJ, Soffer DE, Toth PP, Lavie CJ, Bittner V, Virani SS, Slipczuk L. New approaches to triglyceride reduction: Is there any hope left? Am J Prev Cardiol 2024; 18:100648. [PMID: 38584606 PMCID: PMC10998004 DOI: 10.1016/j.ajpc.2024.100648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 02/29/2024] [Accepted: 03/09/2024] [Indexed: 04/09/2024] Open
Abstract
Triglycerides play a crucial role in the efficient storage of energy in the body. Mild and moderate hypertriglyceridemia (HTG) is a heterogeneous disorder with significant association with atherosclerotic cardiovascular disease (ASCVD), including myocardial infarction, ischemic stroke, and peripheral artery disease and represents an important component of the residual ASCVD risk in statin treated patients despite optimal low-density lipoprotein cholesterol reduction. Individuals with severe HTG (>1,000 mg/dL) rarely develop atherosclerosis but have an incremental incidence of acute pancreatitis with significant morbidity and mortality. HTG can occur from a combination of genetic (both mono and polygenic) and environmental factors including poor diet, low physical activity, obesity, medications, and diseases like insulin resistance and other endocrine pathologies. HTG represents a potential target for ASCVD risk and pancreatitis risk reduction, however data on ASCVD reduction by treating HTG is still lacking and HTG-associated acute pancreatitis occurs too rarely to effectively demonstrate treatment benefit. In this review, we address the key aspects of HTG pathophysiology and examine the mechanisms and background of current and emerging therapies in the management of HTG.
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Affiliation(s)
- Annalisa Filtz
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
- IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy
| | - Siddhant Parihar
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Garred S Greenberg
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Christine M Park
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Andrea Scotti
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Daniel Lorenzatti
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Juan J Badimon
- Cardiology Department, Hospital General Jaen, Jaen, Spain
- Atherothrombosis Research Unit, Mount Sinai School of Medicine, New York, New York, USA
| | - Daniel E Soffer
- Department of Internal Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter P Toth
- CGH Medical Center, Sterling, Illinois
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Carl J Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinical School-the UQ School of Medicine, New Orleans, Louisiana, USA
| | - Vera Bittner
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Salim S Virani
- Section of Cardiology, Department of Medicine, The Aga Khan University, Karachi, Pakistan
- Section of Cardiology, Texas Heart Institute & Baylor College of Medicine, Houston, TX, USA
| | - Leandro Slipczuk
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
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Imeh-Nathaniel E, Imeh-Nathaniel S, Imeh-Nathaniel A, Coker-Ayo O, Kulkarni N, Nathaniel TI. Sex Differences in Severity and Risk Factors for Ischemic Stroke in Patients With Hyperlipidemia. Neurosci Insights 2024; 19:26331055241246745. [PMID: 38706531 PMCID: PMC11069268 DOI: 10.1177/26331055241246745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 03/27/2024] [Indexed: 05/07/2024] Open
Abstract
Objective This study aims to determine sex differences in poststroke hypertriglyceridemia (serum triglyceride levels ⩾ 200 mg/dl) and high stroke severity in ischemic stroke patients. Method Our study analyzed data from 392 males and 373 females with hypertriglyceridemia. Stroke severity on admission was measured using the National Institute of Health Stroke Scale (NIHSS) with a value ⩽7 indicating a more favorable post-stroke prognosis while a score of >7 indicates poorer post-stroke outcomes. Logistic regression models adjusted for demographic and risk factors. The adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for each clinical risk factor were used to predict the increasing odds of an association of a specific clinical baseline risk factor with the male or female AIS with hypertriglyceridemia. Results In the adjusted analysis, male patients with hypertriglyceridemia, diastolic blood pressure (OR = 1.100, 95% CI, 1.034-1.171, P = .002), and Ischemic stroke mortality (OR = 6.474, 95% CI, 3.262-12.847, P < .001) were significantly associated with increased stroke severity. In female patients with hypertriglyceridemia, age (OR = 0.920, 95% CI, 0.866-0.978, P = .008) was associated with reduced stroke severity, while ischemic stroke mortality score (OR = 37.477, 95% CI, 9.636-145.756, P < .001) was associated with increased stroke severity. Conclusion Increased ischemic stroke mortality risk score was associated with increased severity in both male and female AIS patients with hypertriglyceridemia. Our findings provide information about sex differences in specific risk factors that can be managed to improve the care of male and female ischemic stroke patients with hypertriglyceridemia.
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Affiliation(s)
| | | | | | | | | | - Thomas I Nathaniel
- School of Medicine Greenville, University of South Carolina, Greenville, SC, USA
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7
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Akhtar N, Singh R, Kamran S, Joseph S, Morgan D, Uy RT, Treit S, Shuaib A. Association between serum triglycerides and stroke type, severity, and prognosis. Analysis in 6558 patients. BMC Neurol 2024; 24:88. [PMID: 38443844 PMCID: PMC10913234 DOI: 10.1186/s12883-024-03572-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 02/15/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Hypertriglyceridemia (HT) may increase the risk of stroke. Limited studies have shown that stroke severity and infarction size are smaller in patients with HT. We explored the relationship between triglyceride levels and stroke risk factors, severity and outcome in a large prospective database. DESIGN Prospective Cross-sectional study. SETTING We retrospectively interrogated the Qatar Stroke Database in all patients admitted between 2014-2022 with acute ischemic stroke and evaluated the relationship between triglyceride, diabetes, stroke severity (measured on NIHSS), stroke type (TOAST classification) and the short- (mRS at 90 days) and long-term outcomes (MACE at 1 year) in patients with HT. PARTICIPANTS Six thousand five hundred fifty-eight patients ≥20 years were included in this study RESULTS: Six thousand five hundred fifty-eight patients with ischemic stroke [mean age 54.6 ± 12. 9; male 82.1%) were included. Triglyceride levels upon admission were low-normal (≤1.1 mmol/L) in 2019 patients, high-normal (1.2-1.7 mmol/L) in 2142 patients, borderline-high (1.8-2.2 mmol/L) in 1072 patients and high (≥2.3 mmol/L) in 1325 patients. Higher triglyceride levels were associated with stroke and increased likelihood of having diabetes, obesity, active smoking, and small vessel/lacunar stroke type. An inverse relationship was noted whereby higher triglyceride levels were associated with lower stroke severity and reduced likelihood of poorer outcome (mRS 3-6) at discharge and 90 days. Long-term MACE events were less frequent in patients with higher triglyceride levels. After adjusting age, gender, diabetes, prior stroke, CAD, and obesity, multivariate analysis showed that hypertension and triglyceride levels were higher in mild ischemic strokes patients. CONCLUSIONS Increasing triglycerides are associated with higher risk of small vessel disease and requires further prospective cohort studies for confirmation.
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Affiliation(s)
- Naveed Akhtar
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Rajvir Singh
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Saadat Kamran
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Sujatha Joseph
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Deborah Morgan
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Ryan Ty Uy
- Hamad Medical Corporation, Neurology, North Tower, Doha, Qatar
| | - Sarah Treit
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Ashfaq Shuaib
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
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Yadav I, Sharma N, Velayudhan R, Fatima Z, Maras JS. Ocimum sanctum Alters the Lipid Landscape of the Brain Cortex and Plasma to Ameliorate the Effect of Photothrombotic Stroke in a Mouse Model. Life (Basel) 2023; 13:1877. [PMID: 37763282 PMCID: PMC10533110 DOI: 10.3390/life13091877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 07/25/2023] [Accepted: 08/14/2023] [Indexed: 09/29/2023] Open
Abstract
Stroke-like injuries in the brain result in not only cell death at the site of the injury but also other detrimental structural and molecular changes in regions around the stroke. A stroke-induced alteration in the lipid profile interferes with neuronal functions such as neurotransmission. Preventing these unfavorable changes is important for recovery. Ocimum sanctum (Tulsi extract) is known to have anti-inflammatory and neuroprotective properties. It is possible that Tulsi imparts a neuroprotective effect through the lipophilic transfer of active ingredients into the brain. Hence, we examined alterations in the lipid profile in the cerebral cortex as well as the plasma of mice with a photothrombotic-ischemic-stroke-like injury following the administration of a Tulsi extract. It is also possible that the lipids present in the Tulsi extract could contribute to the lipophilic transfer of active ingredients into the brain. Therefore, to identify the major lipid species in the Tulsi extract, we performed metabolomic and untargeted lipidomic analyses on the Tulsi extract. The presence of 39 molecular lipid species was detected in the Tulsi extract. We then examined the effect of a treatment using the Tulsi extract on the untargeted lipidomic profile of the brain and plasma following photothrombotic ischemic stroke in a mouse model. Mice of the C57Bl/6j strain, aged 2-3 months, were randomly divided into four groups: (i) Sham, (ii) Lesion, (iii) Lesion plus Tulsi, and (iv) Lesion plus Ibuprofen. The cerebral cortex of the lesioned hemisphere of the brain and plasma samples were collected for untargeted lipidomic profiling using a Q-Exactive Mass Spectrometer. Our results documented significant alterations in major lipid groups, including PE, PC, neutral glycerolipids, PS, and P-glycerol, in the brain and plasma samples from the photothrombotic stroke mice following their treatment with Tulsi. Upon further comparison between the different study groups of mice, levels of MGDG (36:4), which may assist in recovery, were found to be increased in the brain cortexes of the mice treated with Tulsi when compared to the other groups (p < 0.05). Lipid species such as PS, PE, LPG, and PI were commonly altered in the Sham and Lesion plus Tulsi groups. The brain samples from the Sham group were specifically enriched in many species of glycerol lipids and had reduced PE species, while their plasma samples showed altered PE and PS species when compared to the Lesion group. LPC (16:1) was found in the Tulsi extract and was significantly increased in the brains of the PTL-plus-Tulsi-treated group. Our results suggest that the neuroprotective effect of Tulsi on cerebral ischemia may be partially associated with its ability to regulate brain and plasma lipids, and these results may help provide critical insights into therapeutic options for cerebral ischemia or brain lesions.
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Affiliation(s)
- Inderjeet Yadav
- National Brain Research Centre, Gurugram 122052, India; (I.Y.); (R.V.)
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, University of Bisha, Bisha 61922, Saudi Arabia
| | - Nupur Sharma
- Department of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India;
| | - Rema Velayudhan
- National Brain Research Centre, Gurugram 122052, India; (I.Y.); (R.V.)
| | - Zeeshan Fatima
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, University of Bisha, Bisha 61922, Saudi Arabia
- Amity Institute of Biotechnology, Amity University Haryana, Gurugram 122413, India
| | - Jaswinder Singh Maras
- Department of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India;
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9
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Liu Y, Jin X, Fu K, Li J, Xue W, Tian L, Teng W. Non-traditional lipid profiles and the risk of stroke: A systematic review and meta-analysis. Nutr Metab Cardiovasc Dis 2023; 33:698-714. [PMID: 36737357 DOI: 10.1016/j.numecd.2023.01.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 12/10/2022] [Accepted: 01/05/2023] [Indexed: 01/13/2023]
Abstract
AIMS An increasing number of studies on non-traditional lipid profiles have been investigated in recent years. However, the associations between non-traditional lipid profiles and the risk of stroke remained inconsistent. Therefore, this meta-analysis aimed to evaluate the associations between non-traditional lipid profiles and the risk of stroke and clarify the dose-response relations. DATA SYNTHESIS We performed a systematic literature search in PubMed, Embase, and Web of Science databases until 1 November 2022 for relevant studies. Relative risks and 95% confidence intervals were pooled by random-effects or fixed-effects models. A total of 26 full-text studies with 676678 participants and 18057 stroke cases were eligible for the final study. We found a positive association between the risk of stroke and total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C) ratio (RR = 1.19,95%CI = 1.00-1.40, I2 = 74.6%), triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio (RR = 1.24,95%CI = 1.10-1.41, I2 = 62.8%) or low-density lipoprotein cholesterol to high-density lipoprotein cholesterol (LDL-C/HDL-C) ratio (RR = 1.24, 95%CI = 1.11-1.39, I2 = 49.4%). When focusing on the stroke subtype, a more significant association was observed between the risk of ischemic stroke and four non-traditional lipid profiles. In dose-response analysis, we found a linear association between TC/HDL-C ratio and the risk of stroke (RR = 1.16,95%CI = 1.07-1.26). CONCLUSIONS Elevated non-traditional lipid profiles were associated with an increased risk of ischemic stroke. The linear association showed the risk of stroke increased by 16% when the pooled RR of TC/HDL-C ratio per 1-unit increased. REGISTRATION NUMBER IN PROSPERO CRD42022321251.
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Affiliation(s)
- Yueting Liu
- Department of Neurology, the First Affiliated Hospital, China Medical University, Shenyang, China
| | - Xiaolin Jin
- Department of Neurology, the First Affiliated Hospital, China Medical University, Shenyang, China
| | - Kailei Fu
- Department of Neurology, the First Affiliated Hospital, China Medical University, Shenyang, China
| | - Jinwei Li
- Department of Neurology, the First Affiliated Hospital, China Medical University, Shenyang, China
| | - Weishuang Xue
- Department of Neurology, the First Affiliated Hospital, China Medical University, Shenyang, China
| | - Li Tian
- Department of Geriatrics, Shengjing Hospital, China Medical University, Shenyang, China.
| | - Weiyu Teng
- Department of Neurology, the First Affiliated Hospital, China Medical University, Shenyang, China.
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10
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Huang G, Xu J, Zhang Z, Cai L, Liu H, Yu X. Total cholesterol and high density lipoprotein cholesterol ratio is associated with metabolic syndrome in a very elderly Chinese population. Sci Rep 2022; 12:15212. [PMID: 36075943 PMCID: PMC9458731 DOI: 10.1038/s41598-022-19445-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Accepted: 08/29/2022] [Indexed: 11/13/2022] Open
Abstract
Metabolic syndrome (MetS) is currently a major public health challenge in young, middle aged and elderly population worldwide, but it is still not clear in very elderly population. This study was to investigate the potential association between total cholesterol and high density lipoprotein cholesterol ratio (THR) and MetS in a very elderly population in Chengdu. Totally, 1056 very elderly (aged ≥ 80 years) in Chengdu community were enrolled in this study. Geographic characteristics of participants were collected and laboratory measurement was performed. Metabolic syndrome (MetS) was defined according to the Chinese and the international diabetes federation (IDF) criteria, respectively. Logistic analysis was used to investigate the potential association between the THR and MetS. Receiver operating characteristic curve (ROC) analysis was used to evaluate the efficiency of THR in MetS predicting. Finally, 1038 participants were included in statistical analysis. The mean age was 83.6 ± 3.4 years and 52.6% participants were men and 21.6% suffered from MetS. Participants with MetS had relatively higher waist circumference, body weight, blood pressure, fast plasma glucose level, non-high density lipoprotein cholesterol level and THR. The logistic analysis revealed that the THR was associated with MetS according to both the Chinese (odds ratio (OR): 3.053, 95% confidence interval (CI) 2.464–3.782, P < 0.001) and the IDF criteria (OR: 2.458, 95% CI 2.016–2.995, P < 0.001). ROC analysis found that the area under curve of the THR was 0.800 (95% CI 0.749–0.852, P < 0.001) and 0.727 (95% CI 0.669–0.786, P < 0.001) for predicting MetS according to the Chinese and the IDF criteria, respectively. The THR is associated with MetS in this community very elderly population in Chengdu.
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Affiliation(s)
- Gang Huang
- Department of Cardiology, The Third People's Hospital of Chengdu, No. 82, Qinglong Street, Qingyang District, Chengdu, 610031, Sichuan, China. .,Cardiovascular Disease Research Institute of Chengdu, Chengdu, Sichuan, China. .,Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China. .,The Second Affiliated Chengdu Clinical College of Chongqing Medical University, Chengdu, Sichuan, China.
| | - Junbo Xu
- Department of Cardiology, The Third People's Hospital of Chengdu, No. 82, Qinglong Street, Qingyang District, Chengdu, 610031, Sichuan, China. .,Cardiovascular Disease Research Institute of Chengdu, Chengdu, Sichuan, China. .,Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China. .,The Second Affiliated Chengdu Clinical College of Chongqing Medical University, Chengdu, Sichuan, China.
| | - Zhen Zhang
- Department of Cardiology, The Third People's Hospital of Chengdu, No. 82, Qinglong Street, Qingyang District, Chengdu, 610031, Sichuan, China.,Cardiovascular Disease Research Institute of Chengdu, Chengdu, Sichuan, China.,Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China.,The Second Affiliated Chengdu Clinical College of Chongqing Medical University, Chengdu, Sichuan, China
| | - Lin Cai
- Department of Cardiology, The Third People's Hospital of Chengdu, No. 82, Qinglong Street, Qingyang District, Chengdu, 610031, Sichuan, China.,Cardiovascular Disease Research Institute of Chengdu, Chengdu, Sichuan, China.,Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China.,The Second Affiliated Chengdu Clinical College of Chongqing Medical University, Chengdu, Sichuan, China
| | - Hanxiong Liu
- Department of Cardiology, The Third People's Hospital of Chengdu, No. 82, Qinglong Street, Qingyang District, Chengdu, 610031, Sichuan, China.,Cardiovascular Disease Research Institute of Chengdu, Chengdu, Sichuan, China.,Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China.,The Second Affiliated Chengdu Clinical College of Chongqing Medical University, Chengdu, Sichuan, China
| | - Xiuqiong Yu
- Cardiovascular Disease Research Institute of Chengdu, Chengdu, Sichuan, China.,Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China.,The Second Affiliated Chengdu Clinical College of Chongqing Medical University, Chengdu, Sichuan, China
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11
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Tang M, Zhao Q, Yi K, Wu Y, Xiang Y, Cui S, Su X, Yu Y, Zhao G, Jiang Y. Association between four nontraditional lipids and ischemic stroke: a cohort study in Shanghai, China. Lipids Health Dis 2022; 21:72. [PMID: 35974376 PMCID: PMC9380319 DOI: 10.1186/s12944-022-01683-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 07/28/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The correlation between nontraditional lipids and ischemic stroke (IS) is inconsistent and controversial. This study aimed to examine the association of four nontraditional lipids with IS risk in Chinese adults. METHODS This prospective community-based cohort study was performed in Songjiang District, Shanghai, China. The study began in 2016 and included 34,294 participants without stroke before the investigation. The association between nontraditional lipids (nonhigh-density lipoprotein cholesterol [non-HDL-C], total cholesterol/high-density lipoprotein cholesterol [TC/HDL-C], triglyceride [TG]/HDL-C, and low-density lipoprotein cholesterol [LDL-C]/HDL-C) and IS was studied with multivariate Cox regression models. The dose-response associations between these four serum lipids and IS were explored using restricted cubic spline (RCS) analysis. RESULTS There were a total of 458 IS cases with 166,380 person-years of follow-up. Compared with the lowest tertiles, the highest tertiles of the nontraditional blood lipids showed greater IS risk after controlling for potential confounders. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) were as follows: TC/HDL-C, 1.63 (1.28-2.07); TG/HDL-C, 1.65 (1.28-2.13); LDL-C/HDL-C, 1.51 (1.18-1.92); and non-HDL-C, 1.43 (1.13-1.81). The fully adjusted RCS curves presented a nonlinear relationship, and the risk increased when the TC/HDL-C, TG/HDL-C, and LDL-C/HDL-C levels were > 3.47, > 0.92, and > 1.98, respectively. CONCLUSIONS This community-based cohort study presents a positive association between the four nontraditional lipids and IS incidence. Maintaining relatively low lipid ratios can be beneficial for preventing stroke. Nontraditional lipids can be considered targets for managing blood lipids.
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Affiliation(s)
- Minhua Tang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China.,Songjiang District Center for Disease Control and Prevention, Shanghai, 201600, China
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Kangqi Yi
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Yiling Wu
- Songjiang District Center for Disease Control and Prevention, Shanghai, 201600, China
| | - Yu Xiang
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Shuheng Cui
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Xuyan Su
- Songjiang District Center for Disease Control and Prevention, Shanghai, 201600, China
| | - Yuting Yu
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China
| | - Genming Zhao
- Department of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China.
| | - Yonggen Jiang
- Songjiang District Center for Disease Control and Prevention, Shanghai, 201600, China.
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12
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Sheng G, Kuang M, Yang R, Zhong Y, Zhang S, Zou Y. Evaluation of the value of conventional and unconventional lipid parameters for predicting the risk of diabetes in a non-diabetic population. J Transl Med 2022; 20:266. [PMID: 35690771 PMCID: PMC9188037 DOI: 10.1186/s12967-022-03470-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 05/30/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Conventional and unconventional lipid parameters are associated with diabetes risk, the comparative studies on lipid parameters for predicting future diabetes risk, however, are still extremely limited, and the value of conventional and unconventional lipid parameters in predicting future diabetes has not been evaluated. This study was designed to determine the predictive value of conventional and unconventional lipid parameters for the future development of diabetes. METHODS The study was a longitudinal follow-up study of 15,464 participants with baseline normoglycemia. At baseline, conventional lipid parameters such as low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) were measured/calculated, and unconventional lipid parameters such as non-HDL-C, remnant cholesterol (RC), LDL/HDL-C ratio, TG/HDL-C ratio, non-HDL/HDL-C ratio, TC/HDL-C ratio and RC/HDL-C ratio were calculated. Hazard ratio (HR) and 95% confidence interval (CI) were estimated by Cox proportional hazard regression adjusting for demographic and diabetes-related risk factors. The predictive value and threshold fluctuation intervals of baseline conventional and unconventional lipid parameters for future diabetes were evaluated by the time-dependent receiver operator characteristics (ROC) curve. RESULTS The incidence rate of diabetes was 3.93 per 1000 person-years during an average follow-up period of 6.13 years. In the baseline non-diabetic population, only TG and HDL-C among the conventional lipid parameters were associated with future diabetes risk, while all the unconventional lipid parameters except non-HDL-C were significantly associated with future diabetes risk. In contrast, unconventional lipid parameters reflected diabetes risk better than conventional lipid parameters, and RC/HDL-C ratio was the best lipid parameter to reflect the risk of diabetes (HR: 6.75, 95% CI 2.40-18.98). Sensitivity analysis further verified the robustness of this result. Also, time-dependent ROC curve analysis showed that RC, non-HDL/HDL-C ratio, and TC/HDL-C ratio were the best lipid parameters for predicting the risk of medium-and long-term diabetes. CONCLUSIONS Unconventional lipid parameters generally outperform conventional lipid parameters in assessing and predicting future diabetes risk. It is suggested that unconventional lipid parameters should also be routinely evaluated in clinical practice.
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Affiliation(s)
- Guotai Sheng
- Department of Cardiology, Jiangxi Provincial People's Hospital, Nanchang, 330006, Jiangxi, China
| | - Maobin Kuang
- Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Ruijuan Yang
- Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China.,Department of Endocrinology, Jiangxi Provincial People's Hospital, Nanchang, 330006, Jiangxi, China
| | - Yanjia Zhong
- Department of Endocrinology, Jiangxi Provincial People's Hospital, Nanchang, 330006, Jiangxi, China
| | - Shuhua Zhang
- Jiangxi Provincial People's Hospital, Jiangxi Cardiovascular Research Institute, Nanchang, 330006, Jiangxi, China
| | - Yang Zou
- Jiangxi Provincial People's Hospital, Jiangxi Cardiovascular Research Institute, Nanchang, 330006, Jiangxi, China.
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13
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Liang HJ, Zhang QY, Hu YT, Liu GQ, Qi R. Hypertriglyceridemia: A Neglected Risk Factor for Ischemic Stroke? J Stroke 2022; 24:21-40. [PMID: 35135057 PMCID: PMC8829486 DOI: 10.5853/jos.2021.02831] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 12/27/2021] [Indexed: 11/11/2022] Open
Abstract
Hypertriglyceridemia is caused by defects in triglyceride metabolism and generally manifests as abnormally high plasma triglyceride levels. Although the role of hypertriglyceridemia may not draw as much attention as that of plasma cholesterol in stroke, plasma triglycerides, especially nonfasting triglycerides, are thought to be correlated with the risk of ischemic stroke. Hypertriglyceridemia may increase the risk of ischemic stroke by promoting atherosclerosis and thrombosis and increasing blood viscosity. Moreover, hypertriglyceridemia may have some protective effects in patients who have already suffered a stroke via unclear mechanisms. Therefore, further studies are needed to elucidate the role of hypertriglyceridemia in the development and prognosis of ischemic stroke.
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Affiliation(s)
- Hai-jie Liang
- Department of Pharmacology, School of Basic Medical Sciences, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing, China
| | - Qing-yi Zhang
- Department of Pharmacology, School of Basic Medical Sciences, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing, China
- State Key Laboratory of Natural and Biomimetic Drugs, Beijing, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing, China
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems, Peking University Health Science Center, Beijing, China
| | - Yi-tong Hu
- Department of Pharmacology, School of Basic Medical Sciences, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing, China
| | - Guo-qing Liu
- Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing, China
| | - Rong Qi
- Department of Pharmacology, School of Basic Medical Sciences, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing, China
- State Key Laboratory of Natural and Biomimetic Drugs, Beijing, China
- NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing, China
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems, Peking University Health Science Center, Beijing, China
- Correspondence: Rong Qi Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, Beijing 100191, China Tel: +86-10-8280-5164 Fax: +86-10-8280-5164 E-mail:
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14
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Wang L, Yan N, Zhang M, Pan R, Dang Y, Niu Y. The association between blood glucose levels and lipids or lipid ratios in type 2 diabetes patients: A cross-sectional study. Front Endocrinol (Lausanne) 2022; 13:969080. [PMID: 36147575 PMCID: PMC9485560 DOI: 10.3389/fendo.2022.969080] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Lipids and lipid ratios are associated with complications of diabetes mellitus type 2 (T2DM), such as cardiovascular disease, but the relationship between blood glucose levels and lipid or lipid ratios is not fully understood in T2DM patients. This study assesses the association between blood glucose levels and lipid or lipid ratios in a cohort of T2DM patients. METHODS A total of 1,747 Chinese T2DM patients from the Ningxia province of China were included in this cross-sectional study. Lipid parameters, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), and fasting blood glucose levels were measured quantitatively using standard methods. Fasting blood glucose was divided into three groups. A multiple mixed-effect linear regression model was conducted to identify a potential association between blood glucose and lipid parameters. RESULTS There was a positive association between blood glucose and TG levels (β=0.34, 95% CI: (0.20, 0.48), p<0.01); every 1 mmol/L increase in blood glucose levels resulted in a 0.34 mmol/L increase in TG. Blood glucose levels were also associated with high LDL (β=0.08, 95% CI: (0.02, 0.14), p<0.01), TG/HDL-C (β=0.31, 95% CI: (0.13, 0.49), p<0.01), and LDL-C/HDL-C (β=0.13, 95% CI: (0.06, 0.20), p<0.01) levels. After controlling for demographic variables, health-related behaviors, and physical health variables, a positive association between blood glucose levels and TG (β=0.31, 95% CI: (0.17, 0.45), p<0.01) and LDL-C (β=0.08, 95% CI: (0.02, 0.13), p<0.01) levels and an in increase in TG/HDL-C (β=0.28, 95% CI: (0.09, 0.46), p<0.01) and LDL-C/HDL-C (β=0.11, 95% CI: (0.04, 0.18), p<0.01) ratios was found. CONCLUSION A correlation between blood glucose levels and serum lipids or lipid ratios has been established in this study. Blood glucose levels were positively associated with TG and LDL-C levels and elevated TG/HDL-C and LDL-C/HDL-C ratios.
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Affiliation(s)
- Liqun Wang
- Ningxia Regional Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Regional High Incidence Disease, Ningxia Medical University, Yinchuan, China
- Key Laboratory of the Ningxia Ethnomedicine Modernization, Ministry of Education, Ningxia Medical University, Yinchuan, China
- Department of Epidemiology and Statistics, School of Public Health and Management at Ningxia Medical University, Yinchuan, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, China
| | - Ning Yan
- Heart Centre & Department of Cardiovascular Diseases, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Min Zhang
- Department of Rehabilitation Medicine, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Ruiping Pan
- Department of Chinese Medicine, The Second People’s Hospital of Shizuishan, Shizuishan, China
| | - Yuqi Dang
- Department of Endocrinology, Yinchuan Hospital of Traditional Chinese Medicine, Yinchuan, China
| | - Yang Niu
- Ningxia Regional Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Regional High Incidence Disease, Ningxia Medical University, Yinchuan, China
- Key Laboratory of the Ningxia Ethnomedicine Modernization, Ministry of Education, Ningxia Medical University, Yinchuan, China
- *Correspondence: Yang Niu,
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15
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Alloubani A, Nimer R, Samara R. Relationship between Hyperlipidemia, Cardiovascular Disease and Stroke: A Systematic Review. Curr Cardiol Rev 2021; 17:e051121189015. [PMID: 33305711 PMCID: PMC8950504 DOI: 10.2174/1573403x16999201210200342] [Citation(s) in RCA: 95] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 10/06/2020] [Accepted: 10/21/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Globally, dyslipidemia has been shown to be an independent predictor of many cardiovascular and cerebrovascular events, which led to recent advocacy towards dyslipidemia prevention and control as a key risk factor and its prognostic significance to reduce the burden of stroke and myocardial infarction (MI). AIMS This study aimed to evaluate hyperlipidemia as a risk factor connected with stroke and CVD. Moreover, having identified this risk factor, the study evaluates how hyperlipidemia has been examined earlier and what can be done in the future. METHODS All prospective studies concerning hyperlipidemia as risk factors for stroke and CVD were identified by a search of PubMed/MEDLINE and EMBASE databases with keywords hyperlipidemia, risk factors, stroke, and cardiovascular disease. RESULTS The constant positive association between the incidence of coronary heart disease and cholesterol concentration of LDL is apparent in observational studies in different populations. Thus, the reduction of LDL cholesterol in those populations, particularly with regard to initial cholesterol concentrations, can reduce the risk of vascular diseases. However, the impact of using lipid-lowering drugs, such as statins, has been demonstrated in several studies as an important factor in decreasing the mortality and morbidity rates of patients with stroke and CVD. CONCLUSION After reviewing all the research mentioned in this review, most studies confirmed that hyperlipidemia is a risk factor for stroke and correlated in patients with CVD.
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Affiliation(s)
- Aladeen Alloubani
- Address correspondence to this author at the Nursing Research Unit, King Hussein Cancer Center, Amman, Jordan;
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16
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Qie R, Liu L, Zhang D, Han M, Wang B, Zhao Y, Liu D, Guo C, Li Q, Zhou Q, Tian G, Huang S, Wu X, Qin P, Li J, Cao J, Zhang M, Huang J, Lu J, Hu D. Dose-Response Association Between High-Density Lipoprotein Cholesterol and Stroke: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. Prev Chronic Dis 2021; 18:E45. [PMID: 33988499 PMCID: PMC8139481 DOI: 10.5888/pcd18.200278] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Studies investigating the effect of high-density lipoprotein cholesterol (HDL-C) on stroke and stroke subtypes have reached inconsistent conclusions. The purpose of our study was to clarify the dose-response association between HDL-C level and risk of total stroke and stroke subtypes by a systematic review and meta-analysis. METHODS We performed a systematic search of PubMed, Embase, and Web of Science databases through July 30, 2020, for prospective cohort studies that reported the HDL-C-stroke association and extracted the estimate that was adjusted for the greatest number of confounding factors. Restricted cubic splines were used to evaluate the linear and nonlinear dose-response associations. RESULTS We included 29 articles, which reported on 62 prospective cohort studies including 900,501 study participants and 25,678 with stroke. The summary relative risk per 1-mmol/L increase in HDL-C level for total stroke was 0.82 (95% CI, 0.76-0.89; I2 = 42.9%; n = 18); ischemic stroke (IS), 0.75 (95% CI, 0.69-0.82; I2 = 50.1%; n = 22); intracerebral hemorrhage (ICH), 1.21 (95% CI, 1.04-1.42; I2 = 33.4%; n = 10); and subarachnoid hemorrhage (SAH), 0.98 (95% CI, 0.96-1.00; I2 = 0%; n = 7). We found a linear inverse association between HDL-C level and risk of total stroke and SAH, a nonlinear inverse association for IS risk, but a linear positive association for ICH risk. The strength and the direction of the effect size estimate for total stroke, IS, ICH, and SAH remained stable for most subgroups. We found no publication bias with Begg's test and Egger's test for the association of HDL-C level with risk of total stroke, IS, and ICH. CONCLUSION A high HDL-C level is associated with reduced risk of total stroke and IS and an increased risk of ICH.
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Affiliation(s)
- Ranran Qie
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Leilei Liu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dongdong Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.,Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Bingyuan Wang
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.,Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dechen Liu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Chunmei Guo
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Quanman Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Qionggui Zhou
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.,Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Gang Tian
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xiaoyan Wu
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.,Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Pei Qin
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.,Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Jianxin Li
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.,Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Jie Cao
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.,Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Ming Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.,Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Jianfeng Huang
- Study Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.,Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Jie Lu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100, Kexue Avenue, Gaoxin District, Zhengzhou, Henan 450001, People's Republic of China.
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17
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Jin X, Chen H, Shi H, Fu K, Li J, Tian L, Teng W. Lipid levels and the risk of hemorrhagic stroke: A dose-response meta-analysis. Nutr Metab Cardiovasc Dis 2021; 31:23-35. [PMID: 33257190 DOI: 10.1016/j.numecd.2020.10.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 10/09/2020] [Accepted: 10/15/2020] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND AIMS Hemorrhagic stroke (HS) could damage human health and impose heavy social and economic burden around the world. An accumulating number of studies revealed the effect of lipid levels on HS, whereas the results were inconsistent. Therefore, we conducted a dose-response meta-analysis to evaluate the relationship between lipid levels and HS. METHODS AND RESULTS We searched the databases for relative cohort studies, which were published before April 2020. We pooled adjusted effect size and performed the dose-response analysis by random-effect model. 31 eligible studies with 2,291,643 participants and 12,147 hemorrhagic stroke cases were included. An inverse association was observed between the risk of hemorrhagic stroke and total cholesterol (TC) (RR: 0.72; 95% CI: 0.64-0.82) or low-density lipoprotein cholesterol (LDL-C) (RR: 0.69; 95% CI: 0.53-0.89). Additionally, in dose-response analysis, the non-linear trend was also found between TC, high-density lipoprotein cholesterol (HDL-C), and risk of HS. When the level of TC and HDL-C was about 6 and 1.3 mmol/L separately, the risk of HS was decreased to the lowest. And we found a linear trend that for every 1 mmol/L triglyceride (TG) increase, the risk of HS decreased by 7%. CONCLUSION TC and LDL-C were both inversely related to the risk of HS. In dose-response analysis of TG, we also found the inverse linear trend. Furthermore, the non-linear trend suggested the level of TC and HDL-C was about 6 and 1.3 mmol/L separately could lead to the lowest risk of HS.
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Affiliation(s)
- Xiaolin Jin
- Department of Neurology, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Hanze Chen
- Department of Neurology, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Han Shi
- Clinical Department One, China Medical University, Shenyang, China
| | - Kailei Fu
- Department of Neurology, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Jinwei Li
- Department of Neurology, The First Affiliated Hospital, China Medical University, Shenyang, China
| | - Li Tian
- Department of Geriatrics, Shengjing Hospital, China Medical University, Shenyang, China.
| | - Weiyu Teng
- Department of Neurology, The First Affiliated Hospital, China Medical University, Shenyang, China.
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18
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Everest S, Castillo G, Gaitero L. Primary hyperlipidemia with associated ischemic strokes in a West Highland white terrier dog. THE CANADIAN VETERINARY JOURNAL = LA REVUE VETERINAIRE CANADIENNE 2020; 61:1060-1064. [PMID: 33012820 PMCID: PMC7488373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
A 3-year-old spayed female, West Highland white terrier dog was evaluated because of a 4-month history of recurrent brain clinical signs. Magnetic resonance imaging (MRI) revealed multifocal brain lesions consistent with ischemic injuries. Blood analysis was unremarkable aside from severe hypertriglyceridemia and hypercholesterolemia with no underlying cause, suggesting primary hyperlipidemia. The patient was treated for hyperlipidemia and started on a low-fat diet and omega-3 supplementation. Clinical signs resolved over the following 12 months along with improvement in lipidemia. This represents the first reported case of MRI findings suggestive of multiple cerebrovascular injuries associated with primary hyperlipidemia in a dog, and the first primary hyperlipidemia reported in a West Highland white terrier dog.
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Affiliation(s)
- Stephen Everest
- Ontario Veterinary College Health Science Centre (Everest), Department of Clinical Studies (Castillo, Gaitero), University of Guelph, Guelph, Ontario
| | - Gibrann Castillo
- Ontario Veterinary College Health Science Centre (Everest), Department of Clinical Studies (Castillo, Gaitero), University of Guelph, Guelph, Ontario
| | - Luis Gaitero
- Ontario Veterinary College Health Science Centre (Everest), Department of Clinical Studies (Castillo, Gaitero), University of Guelph, Guelph, Ontario
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19
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Liu X, Yang Y, Kang F, Li J, Zhou M, Ma X, Yu T, Zhang T, Xue F. Cardiovascular Disease Risk Across a Spectrum of Adverse Plasma Lipid Combinations by Gender and Glycemic Status. Am J Cardiol 2019; 124:702-708. [PMID: 31311663 DOI: 10.1016/j.amjcard.2019.05.058] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 05/14/2019] [Accepted: 05/20/2019] [Indexed: 01/17/2023]
Abstract
High triglycerides (TG), low high-density lipoprotein cholesterol (HDL-C) and high non-HDL-C levels are risk factors for cardiovascular disease (CVD). It is unclear whether the combinations of their adverse changes are related with CVD risk in different gender and diabetes status, particularly in Chinese population. This study aims to evaluate the CVD risk associated with different adverse lipid combinations. A total of 38,989 participants from Chinese Multicenter Longitudinal Health Management Cohorts (mean age 42 years; 62% male) without baseline CVD were followed up for incident CVD from 2007 to 2015. Participants with various combinations of baseline TG, non-HDL-C, and HDL-C levels within- or out of range according to Adult Treatment Panel III were grouped into 8 distinct lipid categories. Cox models estimated the multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of different lipid categories for CVD. After multivariable adjustment, a low level of HDL-C combined with either a high level of non-HDL-C alone or TG alone were associated with increased CVD risk with adjusted HRs (95% CIs) of 1.77 (1.36 to 2.30) and 2.08 (1.30 to 3.34) in male participants. Diabetic participants with high non-HDL-C and low HDL-C levels (adjusted HR 2.93, 95% CI 1.15 to 7.46), and non-diabetic participants with high TG and low HDL-C levels (adjusted HR 1.73, 95% CI 1.33 to 2.26) had greater risk of incident CVD. These relations remained significant when limited analysis to participants with normal LDL-C levels of <3.4 mmol/L, indicating the various combinations of out-of-range lipid profiles other than LDL-C are associated with different CVD risk and the associations depend on gender and glycemic status.
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Affiliation(s)
- Xiaojuan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, China; Healthcare Big Data Institute of Shandong University, Jinan, China
| | - Yachao Yang
- Health Management Center, Weihai Municipal Hospital, Weihai, China
| | - Fengling Kang
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, China; Healthcare Big Data Institute of Shandong University, Jinan, China
| | - Jiqing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, China; Healthcare Big Data Institute of Shandong University, Jinan, China
| | - Miao Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, China; Healthcare Big Data Institute of Shandong University, Jinan, China
| | - Xiaotian Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, China; Healthcare Big Data Institute of Shandong University, Jinan, China
| | - Tao Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, China; Healthcare Big Data Institute of Shandong University, Jinan, China
| | - Tao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, China; Healthcare Big Data Institute of Shandong University, Jinan, China
| | - Fuzhong Xue
- Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, China; Healthcare Big Data Institute of Shandong University, Jinan, China.
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