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Liu J, Fu Q, Su R, Liu R, Wu S, Li K, Wu J, Zhang N. Association between nontraditional lipid parameters and the risk of type 2 diabetes and prediabetes in patients with nonalcoholic fatty liver disease: from the national health and nutrition examination survey 2017-2020. Front Endocrinol (Lausanne) 2024; 15:1460280. [PMID: 39280011 PMCID: PMC11392789 DOI: 10.3389/fendo.2024.1460280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Accepted: 08/16/2024] [Indexed: 09/18/2024] Open
Abstract
Background Nonalcoholic fatty liver disease (NAFLD) is a prevalent metabolic disorder strongly linked to type 2 diabetes mellitus (T2DM). Understanding the predictive value of lipid parameters in identifying abnormal glucose metabolism in NAFLD patients is crucial for early intervention. Methods This study analyzed data from the National Health and Nutrition Examination Survey(NHANES) database (2017-2020) involving 1066 NAFLD patients. Participants were categorized into three groups: T2DM (n=414), prediabetes mellitus (pre-DM) (n=507), and normoglycemia (NG) (n=145). Traditional lipid parameters [triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C)] and nontraditional lipid parameters [atherogenic index of plasma (AIP), residual cholesterol (RC), and non-high-density lipoprotein cholesterol (non-HDL-C)] were evaluated for their association with T2DM and pre-DM. Results Elevated TG levels were significantly associated with an increased risk of T2DM and pre-DM, whereas high HDL-C demonstrated a protective effect. Among nontraditional lipid parameters, increased AIP and RC were most strongly associated with T2DM risk, while high non-HDL-C was best associated with the development of pre-DM. Stratified analyses revealed that these associations were stronger in younger, non-obese, smoking, and female NAFLD patients. Conclusion Nontraditional lipid parameters, particularly AIP and RC, show superior predictive value over traditional lipid parameters in identifying abnormal glucose metabolism in NAFLD patients. Incorporating these novel biomarkers into clinical practice could enhance early detection and prevention strategies for T2DM and pre-DM in this high-risk population.
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Affiliation(s)
- Jierui Liu
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Qingan Fu
- Cardiovascular Medicine Department, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Ruolin Su
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Rixiang Liu
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Shisheng Wu
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Ke Li
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jianhua Wu
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Nuobei Zhang
- Gastroenterology Department, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
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Shiyovich A, Berman AN, Besser SA, Biery DW, Cardoso R, Divakaran S, Singh A, Huck DM, Weber B, Plutzky J, Cannon C, Nasir K, Di Carli MF, Januzzi JL, Bhatt DL, Blankstein R. Lipoprotein(a) as a cardiovascular risk factor among patients with and without diabetes Mellitus: the Mass General Brigham Lp(a) Registry. Cardiovasc Diabetol 2024; 23:257. [PMID: 39026226 PMCID: PMC11264681 DOI: 10.1186/s12933-024-02348-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 07/03/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND Diabetes mellitus (DM) and Lp(a) are well-established predictors of coronary artery disease (CAD) outcomes. However, their combined association remains poorly understood. OBJECTIVE To investigate the relationship between elevated Lp(a) and DM with CAD outcomes. METHODS Retrospective analysis of the MGB Lp(a) Registry involving patients ≥ 18 years who underwent Lp(a) measurements between 2000 and 2019. Exclusion criteria were severe kidney dysfunction, malignant neoplasms, and prior atherosclerotic cardiovascular disease (ASCVD). The primary outcome was a combination of cardiovascular death or myocardial infarction (MI). Elevated Lp(a) was defined as > 90th percentile (≥ 216 nmol/L). RESULTS Among 6,238 patients who met the eligibility criteria, the median age was 54, 45% were women, and 12% had DM. Patients with DM were older, more frequently male, and had a higher prevalence of additional cardiovascular risk factors. Over a median follow-up of 12.9 years, patients with either DM or elevated Lp(a) experienced higher rates of the primary outcome. Notably, those with elevated Lp(a) had a higher incidence of the primary outcome regardless of their DM status. The annual event rates were as follows: No-DM and Lp(a) < 90th% - 0.6%; No-DM and Lp(a) > 90th% - 1.3%; DM and Lp(a) < 90th% - 1.9%; DM and Lp(a) > 90th% - 4.7% (p < 0.001). After adjusting for confounders, elevated Lp(a) remained independently associated with the primary outcome among both patients with DM (HR = 2.66 [95%CI: 1.55-4.58], p < 0.001) and those without DM (HR = 2.01 [95%CI: 1.48-2.74], p < 0.001). CONCLUSIONS Elevated Lp(a) constitutes an independent and incremental risk factor for CAD outcomes in patients with and without DM.
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Affiliation(s)
- Arthur Shiyovich
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Adam N Berman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephanie A Besser
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - David W Biery
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rhanderson Cardoso
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sanjay Divakaran
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Avinainder Singh
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel M Huck
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brittany Weber
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jorge Plutzky
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Christopher Cannon
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Khurram Nasir
- Department of Cardiovascular Medicine, Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA
| | - Marcelo F Di Carli
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - James L Januzzi
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Baim Institute for Clinical Research, Boston, MA, USA
| | - Deepak L Bhatt
- Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ron Blankstein
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Zhang S, Zhou Y, Wang J, Fu Q, Shen T, Pan G, Luo R, Yang X, Jiang L, Hu H. The Association of High Lipoprotein(a) Concentration and Risk of Ischaemic Stroke in Atrial Fibrillation Patients. Int J Gen Med 2024; 17:2001-2009. [PMID: 38736672 PMCID: PMC11088835 DOI: 10.2147/ijgm.s449400] [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: 11/16/2023] [Accepted: 04/10/2024] [Indexed: 05/14/2024] Open
Abstract
Background Lipoprotein(a) [Lp(a)] is a well-established risk factor for ischaemic stroke (IS). It is unclear whether Lp(a) is associated with IS in patients with atrial fibrillation (AF). The aim of this study is to explore the association between the concentration of Lp(a) and the risk of IS in AF patients, hope to find the potential risk factor for the IS in AF patients. Methods This study is a retrospective cohort study. The screened AF patients between January 2017 and July 2021 were matched at 1:1 by the propensity score matching (PSM) method in the Second Affiliated Hospital of Nanchang University. Associations between Lp(a) and ischaemic stroke were analysed using logistic regression models, stratified analysis and sensitivity analysis. Statistical analyses were conducted using IBM SPSS software. Results The number of enrolled participates is 2258, which contains 1129 non-AF patients and 1129 AF patients. Among IS patients, the median Lp(a) concentration was higher than that of controls (17.03 vs. 15.36 mg/dL, P = 0.032). The Spearman rank-order correlation coefficients revealed significant positive relationships between IS and Lp(a) (P = 0.032). In addition, a significant increase in IS risk was associated with Lp(a) levels >30.00 mg/dL in unadjusted model [OR:1.263, 95% CI(1.046-1.523), P = 0.015], model 1 [OR:1.284, 95% CI(1.062,1.552), P = 0.010], model 2 [OR: 1.297, 95% CI(1.07,1.573). P = 0.008], and model 3 [OR: 1.290, 95% CI (1.064, 1.562). P = 0.009]. The stratified analysis indicated that this correlation was not affected by female sex [1.484 (1.117, 1.972), P = 0.006], age ≤ 60 [1.864 (1.067-3.254), P=0.029], hypertension [1.359 (1.074, 1.721), P = 0.011], or non-coronary heart disease (CHD) [1.388 (1.108, 1.738), P = 0.004]. Conclusion High levels of Lp(a) were significantly related to IS in AF patients and may be a potential risk factor in the onset of an IS in AF patients.
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Affiliation(s)
- Siyi Zhang
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
- Department of Clinical Medicine, Queen Mary School of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
| | - Yue Zhou
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
| | - Jinghui Wang
- Department of Clinical Medicine, Queen Mary School of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
| | - Qingan Fu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
| | - Tianzhou Shen
- Department of Clinical Medicine, Queen Mary School of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
| | - Guanrui Pan
- Department of Clinical Medicine, Queen Mary School of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
| | - Renfei Luo
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
| | - Xinlei Yang
- Department of Biobank Center, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
| | - Long Jiang
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
| | - Hui Hu
- Department of Medical Big Data Center, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People’s Republic of China
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Chen X, Song C, Ma X, Tao J, Hu L, Xu Y, Yi Y, Yang X, Jiang L. High lipoprotein(a) concentration is associated with moyamoya disease. Lipids Health Dis 2024; 23:21. [PMID: 38254149 PMCID: PMC10802057 DOI: 10.1186/s12944-024-02015-1] [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: 10/05/2023] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Moyamoya disease (MMD) has attracted the attention of scholars because of its rarity and unknown etiology. METHODS Data for this study were sourced from the Second Affiliated Hospital of Nanchang University. Regression analyses were conducted to examine the association in Lipoprotein [Lp(a)] and MMD. R and IBM SPSS were conducted. RESULTS A cohort comprising 1012 MMD patients and 2024 controls was established through the propensity score matching method. Compared with controls, MMD patients showed higher median Lp(a) concentrations [18.5 (9.6-37.8) mg/dL vs. 14.9 (7.8-30.5) mg/dL, P < 0.001]. The odds ratios and 95% confidence intervals for Lp(a) were calculated in three models: unadjusted model, model 1 (adjusted for body mass index and systolic blood pressure), and model 2 (adjusted for model 1 plus triglyceride, C-reactive protein, homocysteine, and low-density lipoprotein cholesterol). Results were [1.613 (1.299-2.002), P < 0.001], [1.598 (1.286-1.986), P < 0.001], and [1.661 (1.330-2.074), P < 0.001], respectively. Furthermore, age, sex, or hypertension status had nothing to do with this relationship. CONCLUSIONS Positive relationship exists between Lp(a) and MMD.
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Affiliation(s)
- Xinyue Chen
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang, 330006, China
| | - Chenxin Song
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang, 330006, China
| | - Xianrun Ma
- School of Basic Medical Sciences, Nanchang University, Jiangxi, Nanchang, 330006, China
| | - Junjie Tao
- The Second Clinical Medical College of Nanchang University, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang, 330006, China
| | - Lijuan Hu
- Department of Nursing, Nanchang Medical College, Nanchang, Jiangxi, China
| | - Yuan Xu
- Department of Medical Big Data Center, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yingping Yi
- Department of Medical Big Data Center, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xinlei Yang
- Biobank center, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
| | - Long Jiang
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
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Chiesa G, Zenti MG, Baragetti A, Barbagallo CM, Borghi C, Colivicchi F, Maggioni AP, Noto D, Pirro M, Rivellese AA, Sampietro T, Sbrana F, Arca M, Averna M, Catapano AL. Consensus document on Lipoprotein(a) from the Italian Society for the Study of Atherosclerosis (SISA). Nutr Metab Cardiovasc Dis 2023; 33:1866-1877. [PMID: 37586921 DOI: 10.1016/j.numecd.2023.07.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 08/18/2023]
Abstract
AIMS In view of the consolidating evidence on the causal role of Lp(a) in cardiovascular disease, the Italian Society for the Study of Atherosclerosis (SISA) has assembled a consensus on Lp(a) genetics and epidemiology, together with recommendations for its measurement and current and emerging therapeutic approaches to reduce its plasma levels. Data on the Italian population are also provided. DATA SYNTHESIS Lp(a) is constituted by one apo(a) molecule and a lipoprotein closely resembling to a low-density lipoprotein (LDL). Its similarity with an LDL, together with its ability to carry oxidized phospholipids are considered the two main features making Lp(a) harmful for cardiovascular health. Plasma Lp(a) concentrations vary over about 1000 folds in humans and are genetically determined, thus they are quite stable in any individual. Mendelian Randomization studies have suggested a causal role of Lp(a) in atherosclerotic cardiovascular disease (ASCVD) and aortic valve stenosis and observational studies indicate a linear direct correlation between cardiovascular disease and Lp(a) plasma levels. Lp(a) measurement is strongly recommended once in a patient's lifetime, particularly in FH subjects, but also as part of the initial lipid screening to assess cardiovascular risk. The apo(a) size polymorphism represents a challenge for Lp(a) measurement in plasma, but new strategies are overcoming these difficulties. A reduction of Lp(a) levels can be currently attained only by plasma apheresis and, moderately, with PCSK9 inhibitor treatment. CONCLUSIONS Awaiting the approval of selective Lp(a)-lowering drugs, an intensive management of the other risk factors for individuals with elevated Lp(a) levels is strongly recommended.
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Affiliation(s)
- Giulia Chiesa
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università Degli Studi di Milano, Milan, Italy.
| | - Maria Grazia Zenti
- Section of Diabetes and Metabolism, Pederzoli Hospital, Peschiera Del Garda, Verona, Italy.
| | - Andrea Baragetti
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università Degli Studi di Milano, Milan, Italy; IRCCS MultiMedica, Sesto San Giovanni, Milan, Italy
| | - Carlo M Barbagallo
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy
| | - Claudio Borghi
- Department of Cardiovascular Medicine, IRCCS AOU S. Orsola, Bologna, Italy
| | - Furio Colivicchi
- Division of Clinical Cardiology, San Filippo Neri Hospital, Rome, Italy
| | - Aldo P Maggioni
- ANMCO Research Center, Heart Care Foundation, Firenze, Italy
| | - Davide Noto
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy
| | - Matteo Pirro
- Unit of Internal Medicine, Angiology and Arteriosclerosis Diseases, Department of Medicine and Surgery, University of Perugia, Italy
| | - Angela A Rivellese
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Tiziana Sampietro
- Lipoapheresis Unit, Reference Center for Diagnosis and Treatment of Inherited Dyslipidemias, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Francesco Sbrana
- Lipoapheresis Unit, Reference Center for Diagnosis and Treatment of Inherited Dyslipidemias, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Marcello Arca
- Department of Translational and Precision Medicine (DTPM), Sapienza University of Rome, Policlinico Umberto I, Rome, Italy
| | - Maurizio Averna
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy; Institute of Biophysics, National Council of Researches, Palermo, Italy
| | - Alberico L Catapano
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università Degli Studi di Milano, Milan, Italy; IRCCS MultiMedica, Sesto San Giovanni, Milan, Italy
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6
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Yu B, Hu X, Liu J, Nie Z, Ren Luo Bu C, Li G, Zhou Y, Dong H. Lipoprotein(a) as a Higher Residual Risk for Coronary Artery Disease in Patients with Type 2 Diabetes Mellitus than without. Int J Gen Med 2023; 16:3383-3391. [PMID: 37576912 PMCID: PMC10422995 DOI: 10.2147/ijgm.s423458] [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: 06/17/2023] [Accepted: 07/31/2023] [Indexed: 08/15/2023] Open
Abstract
Purpose Lipoprotein(a) (Lp[a]) is well-known as a residual risk factor for coronary artery disease (CAD). However, the different adverse effects of Lp(a) about CAD in patients with or without type 2 diabetes mellitus (T2DM) are unclear. This study aimed to investigate the Lp(a) thresholds for CAD diagnosis in T2DM and non-T2DM patients, and further compare the Lp(a) alarm values along with optimal low-density lipoprotein cholesterol (LDL-C) level. Methods This retrospective study consecutively enrolled patients with suspected CAD who underwent coronary angiography in Guangdong Provincial People's Hospital between September 2014 and July 2015. A logistic regression model was established to explore the association of Lp(a) and CAD in patients. Restricted cubic splines were used to compare the threshold values of Lp(a) for CAD in patients with and without T2DM, and further in optimal LDL-C level situation. Results There were 1522 patients enrolled finally. After multivariable adjustment, Lp(a) was an independent risk factor for CAD in patients with T2DM (odds ratio [OR]: 1.98, 95% CI]: 1.12-3.49, p = 0.019) and without T2DM (OR: 3.42, 95% CI: 2.36-4.95, p < 0.001). In the whole population, the Lp(a) threshold of CAD was 155, while 145 mg/L for T2DM and 162 mg/L for non-T2DM ones, respectively. In patients with LDL-C<1.8 mmol/l, the alarm value of Lp(a) was even lower in T2DM than non-T2DM patients (155 vs 174 mg/L). Conclusion Lp(a) was a significant residual risk for CAD in patients whether with T2DM or not. And Lp(a) had a lower alarm value in T2DM patients, especially in optimal LDL-C level.
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Affiliation(s)
- Bingyan Yu
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Xiangming Hu
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Jieliang Liu
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Zhiqiang Nie
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Ci Ren Luo Bu
- Nyingchi People’s Hospital, Nyingchi, Tibet, People’s Republic of China
| | - Guang Li
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Yingling Zhou
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Haojian Dong
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- Nyingchi People’s Hospital, Nyingchi, Tibet, People’s Republic of China
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7
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Hussain Z, Iqbal J, Liu H, Zhou HD. Exploring the role of lipoprotein(a) in cardiovascular diseases and diabetes in Chinese population. Int J Biol Macromol 2023; 233:123586. [PMID: 36758756 DOI: 10.1016/j.ijbiomac.2023.123586] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/31/2023] [Accepted: 02/04/2023] [Indexed: 02/10/2023]
Abstract
A high level of lipoprotein (a) in the plasma has been associated with a variety of cardiovascular diseases and is considered to be an independent predictor of some other diseases. Based on recent studies, the concentration levels of Lp(a) in the Chinese population exhibit a distinctive variation from other populations. In the Chinese population, a high level of Lp(a) indicates a higher incidence of revascularization, platelet aggregation, and thrombogenicity following PCI. Increased risk of atherosclerotic cardiovascular disease (ASCVD) in Chinese population has been linked to higher levels of Lp(a), according to studies. More specifically, it has been found that in Chinese populations, higher levels of Lp(a) were linked to an increased risk of coronary heart disease, severe aortic valve stenosis, deep vein thrombosis in patients with spinal cord injuries, central vein thrombosis in patients receiving hemodialysis, and stroke. Furthermore, new and consistent data retrieved from several clinical trials also suggest that Lp (a) might also play an essential role in some other conditions, including metabolic syndrome, type 2 diabetes and cancers. This review explores the clinical and epidemiological relationships among Lp(a), cardiovascular diseases and diabetes in the Chinese population as well as potential Lp(a) underlying mechanisms in these diseases. However, further research is needed to better understand the role of Lp(a) in cardiovascular diseases and especially diabetes in the Chinese population.
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Affiliation(s)
- Zubair Hussain
- State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, 450000, Zhengzhou, China; Department of Pathophysiology, Academy of Medical Science, College of Medicine, Zhengzhou University, 450000, Zhengzhou, China; China-US (Henan) Hormel Cancer Institute, 450000, Zhengzhou, China
| | - Junaid Iqbal
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Hongcai Liu
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China; Suzhou Institute of Systems Medicine, Suzhou 215123, China
| | - Hou-De Zhou
- National Clinical Research Center for Metabolic Diseases, Hunan Provincial Key Laboratory for Metabolic Bone Diseases, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha 410011, China.
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Liu JY, Liu LP, Li Z, Luo YW, Liang F. The role of cuproptosis-related gene in the classification and prognosis of melanoma. Front Immunol 2022; 13:986214. [PMID: 36341437 PMCID: PMC9632664 DOI: 10.3389/fimmu.2022.986214] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 09/28/2022] [Indexed: 11/29/2022] Open
Abstract
Background Melanoma, as one of the most aggressive and malignant cancers, ranks first in the lethality rate of skin cancers. Cuproptosis has been shown to paly a role in tumorigenesis, However, the role of cuproptosis in melanoma metastasis are not clear. Studying the correlation beteen the molecular subtypes of cuproptosis-related genes (CRGs) and metastasis of melanoma may provide some guidance for the prognosis of melanoma. Methods We collected 1085 melanoma samples in The Cancer Genome Atlas(TCGA) and Gene Expression Omnibus(GEO) databases, constructed CRGs molecular subtypes and gene subtypes according to clinical characteristics, and investigated the role of CRGs in melanoma metastasis. We randomly divide the samples into train set and validation set according to the ratio of 1:1. A prognostic model was constructed using data from the train set and then validated on the validation set. We performed tumor microenvironment analysis and drug sensitivity analyses for high and low risk groups based on the outcome of the prognostic model risk score. Finally, we established a metastatic model of melanoma. Results According to the expression levels of 12 cuproptosis-related genes, we obtained three subtypes of A1, B1, and C1. Among them, C1 subtype had the best survival outcome. Based on the differentially expressed genes shared by A1, B1, and C1 genotypes, we obtained the results of three gene subtypes of A2, B2, and C2. Among them, the B2 group had the best survival outcome. Then, we constructed a prognostic model consisting of 6 key variable genes, which could more accurately predict the 1-, 3-, and 5-year overall survival rates of melanoma patients. Besides, 98 drugs were screened out. Finally, we explored the role of cuproptosis-related genes in melanoma metastasis and established a metastasis model using seven key genes. Conclusions In conclusion, CRGs play a role in the metastasis and prognosis of melanoma, and also provide new insights into the underlying pathogenesis of melanoma.
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Affiliation(s)
- Jin-Ya Liu
- Department of Plastic Surgery, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Le-Ping Liu
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China,Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Ze Li
- Department of Hematology and Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Yan-Wei Luo
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China,*Correspondence: Fang Liang, ; Yan-Wei Luo,
| | - Fang Liang
- Department of Hematology and Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, China,*Correspondence: Fang Liang, ; Yan-Wei Luo,
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Xia J, Guo C, Cao H, Liu K, Peng W, Sun Y, Xie Y, Li B, Zhang F, Wen F, Zhang L. Impact of lipoprotein(a) level on cardiometabolic disease in the Chinese population: The CHCN-BTH Study. Eur J Clin Invest 2022; 52:e13689. [PMID: 34632581 DOI: 10.1111/eci.13689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/24/2021] [Accepted: 09/26/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND The emergence of promising compounds to lower lipoprotein(a) [Lp(a)] has increased the need for a precise characterisation and comparability assessment of Lp(a)-associated cardiometabolic disease risk. This study aimed to evaluate the distribution of Lp(a) levels in a Chinese population and characterise the association with cardiometabolic diseases. METHODS We assessed data from individuals from the Cohort Study on Chronic Diseases of the General Community Population in the Beijing-Tianjin-Hebei Region project. All Lp(a) measurements were performed in the same hospital. The cardiometabolic diseases considered were coronary heart disease (CHD), stroke, hypertension and type 2 diabetes (T2DM). RESULTS A total of 25343 individuals were included in the study. The median level of Lp(a) was 11.9 mg/dl (IQR 5.9 to 23.7 mg/dl), and higher Lp(a) levels showed a significant concentration-dependent association with CHD risk. Individuals with Lp(a) levels lower than the 25th percentile were at increased risk of hypertension (OR: 1.15, 95% CI: 1.06-1.25) and T2DM (OR: 1.15, 95% CI: 1.03-1.28); however, Lp(a) levels were not significantly associated with stroke. The addition of Lp(a) levels to the prognostic model led to a marginal but significant C-index, integrated discrimination improvement and net reclassification improvement. CONCLUSIONS In this large sample size study, we observed that elevated Lp(a) levels were significantly associated with CHD. Furthermore, we found that the lowest Lp(a) levels were also significantly associated with hypertension and T2DM. These results provide evidence for differential approaches to higher levels of Lp(a) in individuals with different cardiometabolic diseases.
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Affiliation(s)
- Juan Xia
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Chunyue Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Han Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Kuo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Wenjuan Peng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yanyan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yunyi Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Bingxiao Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Fengxu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Fuyuan Wen
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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