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Zhu Y, Chen S, Chen Z, Wang Y, Fu G, Zhang W. Causal effect of lipoprotein(a) level on chronic kidney disease of European ancestry: a two-sample Mendelian randomization study. Ren Fail 2024; 46:2383727. [PMID: 39082753 PMCID: PMC11293262 DOI: 10.1080/0886022x.2024.2383727] [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: 03/17/2024] [Revised: 06/03/2024] [Accepted: 07/18/2024] [Indexed: 08/03/2024] Open
Abstract
INTRODUCTION Chronic kidney disease is a growing health issue, and the options of prevention and therapy remain limited. Although a number of observational studies have linked higher Lp(a) [lipoprotein(a)] levels to the kidney impairment, the causal relationship remains to be determined. The purpose of this study was to assess the causal association between Lp(a) levels and CKD. METHODS We selected eight single-nucleotide polymorphisms (SNPs) significantly associated with Lp(a) levels as instrumental variables. Genome-wide association study (GWAS) from CKDGen consortium yielded the summary data information for CKD. We designed the bidirectional two-sample Mendelian randomization (MR) analyses. The estimates were computed using inverse-variance weighted (IVW), simple median, weighted median, and maximum likelihood. MR-Egger regression was used to detect pleiotropy. RESULTS Fixed-effect IVW analysis indicated that genetically predicted Lp(a) levels were associated with CKD significantly (odds ratio, 1.039; 95% CI, 1.009-1.069; p = 0.010). The SNPs showed no pleiotropy according to result of MR-Egger test. Results from sensitivity analyses were consistent. In the inverse MR analysis, random-effect IVW method showed CKD had no causal effect on the elevated Lp(a) (odds ratio, 1.154; 95% CI, 0.845-1.576; p = 0.367). CONCLUSION In this bidirectional two-sample MR analysis, the causal deteriorating effects of genetically predicted plasma Lp(a) levels on the risk of CKD were identified. On the contrary, there is no evidence to support a causal effect of CKD on Lp(a) levels.
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Affiliation(s)
- Yunhui Zhu
- Department of Cardiology, Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Songzan Chen
- Department of Cardiology, Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Zhebin Chen
- Department of Cardiology, Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Yao Wang
- Department of Cardiology, Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Guosheng Fu
- Department of Cardiology, Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Wenbin Zhang
- Department of Cardiology, Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People’s Republic of China
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Brosolo G, Da Porto A, Marcante S, Picci A, Capilupi F, Capilupi P, Bulfone L, Vacca A, Bertin N, Vivarelli C, Comand J, Catena C, Sechi LA. Lipoprotein(a): Just an Innocent Bystander in Arterial Hypertension? Int J Mol Sci 2023; 24:13363. [PMID: 37686169 PMCID: PMC10487946 DOI: 10.3390/ijms241713363] [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: 08/07/2023] [Revised: 08/25/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
Elevated plasma lipoprotein(a) [Lp(a)] is a relatively common and highly heritable trait conferring individuals time-dependent risk of developing atherosclerotic cardiovascular disease (CVD). Following its first description, Lp(a) triggered enormous scientific interest in the late 1980s, subsequently dampened in the mid-1990s by controversial findings of some prospective studies. It was only in the last decade that a large body of evidence has provided strong arguments for a causal and independent association between elevated Lp(a) levels and CVD, causing renewed interest in this lipoprotein as an emerging risk factor with a likely contribution to cardiovascular residual risk. Accordingly, the 2022 consensus statement of the European Atherosclerosis Society has suggested inclusion of Lp(a) measurement in global risk estimation. The development of highly effective Lp(a)-lowering drugs (e.g., antisense oligonucleotides and small interfering RNA, both blocking LPA gene expression) which are still under assessment in phase 3 trials, will provide a unique opportunity to reduce "residual cardiovascular risk" in high-risk populations, including patients with arterial hypertension. The current evidence in support of a specific role of Lp(a) in hypertension is somehow controversial and this narrative review aims to overview the general mechanisms relating Lp(a) to blood pressure regulation and hypertension-related cardiovascular and renal damage.
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Affiliation(s)
- Gabriele Brosolo
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- European Hypertension Excellence Center, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Andrea Da Porto
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- Diabetes and Metabolism Unit, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Stefano Marcante
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- European Hypertension Excellence Center, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Alessandro Picci
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- European Hypertension Excellence Center, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Filippo Capilupi
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- European Hypertension Excellence Center, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Patrizio Capilupi
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- European Hypertension Excellence Center, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Luca Bulfone
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- European Hypertension Excellence Center, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Antonio Vacca
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- European Hypertension Excellence Center, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Nicole Bertin
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- Thrombosis and Hemostasis Unit, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Cinzia Vivarelli
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
| | - Jacopo Comand
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- European Hypertension Excellence Center, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Cristiana Catena
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- European Hypertension Excellence Center, Clinica Medica, University of Udine, 33100 Udine, Italy
| | - Leonardo A. Sechi
- Department of Medicine, University of Udine, 33100 Udine, Italy; (A.D.P.); (S.M.); (A.P.); (F.C.); (P.C.); (L.B.); (A.V.); (N.B.); (C.V.); (J.C.); (C.C.)
- European Hypertension Excellence Center, Clinica Medica, University of Udine, 33100 Udine, Italy
- Diabetes and Metabolism Unit, Clinica Medica, University of Udine, 33100 Udine, Italy
- Thrombosis and Hemostasis Unit, Clinica Medica, University of Udine, 33100 Udine, Italy
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Su D, Luo J, Ge J, Liu Y, Jin C, Xu P, Zhang R, Zhu G, Yang M, Ai Z, Song Y. Raw and Wine Processed Schisandra chinensis Regulate NREM-Sleep and Alleviate Cardiovascular Dysfunction Associated with Insomnia by Modulating HPA Axis. PLANTA MEDICA 2022; 88:1311-1324. [PMID: 34911135 DOI: 10.1055/a-1721-4971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Clinical studies have shown that insomnia and anxiety are usually accompanied by cardiovascular dysfunction. In traditional Chinese medicine, Schisandra chinensis (SC) and wine processed Schisandra chinensis (WSC) are mainly used for the treatment of dysphoria, palpitation and insomnia. However, little attention was paid to its mechanism. In this study, we monitored the effect of SC and WSC on the nervous system and cardiovascular system of free-moving rats in the real-time. Our results show that SC and WSC can alleviate cardiovascular dysfunction while promoting sleep, and we further explored their potential mechanisms. HPLC-QTOF-MS was used for the quality control of chemical components in SC and WSC. Data sciences international (DSI) physiological telemetry system was applied to collect the electroencephalogram (EEG), electrocardiogram (ECG) and other parameters of free-moving rats to understand the effects of long-term intake of SC and WSC on rats. The content of Cortisol (CORT), neurotransmitters and amino acids in rat pituitary and hypothalamus were analyzed by UPLC-MS to determine the activity of HPA axis. The expression of melatonin receptor MT1 was analyzed by immunofluorescence technique. Our results suggested that SC and WSC may play the role of promoting sleep by increasing the expression level of melatonin receptor MT1 in hypothalamus, and modulate the activity of HPA axis by regulating the levels of the related neurotransmitters and amino acid, so as to improve the abnormal cardiovascular system of rats. This study may provide theoretical support for explicating the advantages of SC and other phytomedicines in the treatment of insomnia.
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Affiliation(s)
- Dan Su
- Key Laboratory of depression animal model based on TCM syndrome, Jiangxi Administration of traditional Chinese Medicine, Key Laboratory of TCM for prevention and treatment of brain diseases with cognitive impairment, Jiangxi Province, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Jian Luo
- Key Laboratory of depression animal model based on TCM syndrome, Jiangxi Administration of traditional Chinese Medicine, Key Laboratory of TCM for prevention and treatment of brain diseases with cognitive impairment, Jiangxi Province, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Junqi Ge
- Key Laboratory of depression animal model based on TCM syndrome, Jiangxi Administration of traditional Chinese Medicine, Key Laboratory of TCM for prevention and treatment of brain diseases with cognitive impairment, Jiangxi Province, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Yali Liu
- Key Laboratory of depression animal model based on TCM syndrome, Jiangxi Administration of traditional Chinese Medicine, Key Laboratory of TCM for prevention and treatment of brain diseases with cognitive impairment, Jiangxi Province, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Chen Jin
- Key Laboratory of depression animal model based on TCM syndrome, Jiangxi Administration of traditional Chinese Medicine, Key Laboratory of TCM for prevention and treatment of brain diseases with cognitive impairment, Jiangxi Province, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Pengfei Xu
- Key Laboratory of depression animal model based on TCM syndrome, Jiangxi Administration of traditional Chinese Medicine, Key Laboratory of TCM for prevention and treatment of brain diseases with cognitive impairment, Jiangxi Province, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Ruowen Zhang
- Shenzhen Honsan Health Industry Group, Shenzhen, China
| | - Genhua Zhu
- Key Laboratory of depression animal model based on TCM syndrome, Jiangxi Administration of traditional Chinese Medicine, Key Laboratory of TCM for prevention and treatment of brain diseases with cognitive impairment, Jiangxi Province, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Ming Yang
- Key Laboratory of depression animal model based on TCM syndrome, Jiangxi Administration of traditional Chinese Medicine, Key Laboratory of TCM for prevention and treatment of brain diseases with cognitive impairment, Jiangxi Province, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Zhifu Ai
- Key Laboratory of depression animal model based on TCM syndrome, Jiangxi Administration of traditional Chinese Medicine, Key Laboratory of TCM for prevention and treatment of brain diseases with cognitive impairment, Jiangxi Province, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Yonggui Song
- Key Laboratory of depression animal model based on TCM syndrome, Jiangxi Administration of traditional Chinese Medicine, Key Laboratory of TCM for prevention and treatment of brain diseases with cognitive impairment, Jiangxi Province, Jiangxi University of Chinese Medicine, Nanchang, China
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Huang Z, Yang Y, Lu J, Liang J, He Y, Yu Y, Huang H, Li Q, Wang B, Li S, Yan Z, Xu D, Liu Y, Chen K, Huang Z, Ni J, Liu J, Chen L, Chen S. Association of Lipoprotein(a)-Associated Mortality and the Estimated Glomerular Filtration Rate Level in Patients Undergoing Coronary Angiography: A 51,500 Cohort Study. Front Cardiovasc Med 2021; 8:747120. [PMID: 34869651 PMCID: PMC8635642 DOI: 10.3389/fcvm.2021.747120] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 10/15/2021] [Indexed: 12/24/2022] Open
Abstract
Background: High lipoprotein(a) is associated with poor prognosis in patients at high risk for cardiovascular disease. Renal function based on the estimated glomerular filtration rate (eGFR) is a potential risk factor for the change of lipoprotein(a). However, the regulatory effect of eGFR stratification on lipoprotein(a)-associated mortality has not been adequately addressed. Methods: 51,500 patients who underwent coronary angiography (CAG) or percutaneous coronary intervention (PCI) were included from the Cardiorenal ImprovemeNt (CIN) study (ClinicalTrials.gov NCT04407936). These patients were grouped according to lipoprotein(a) quartiles (Q1–Q4) stratified by eGFR categories (<60 and ≥60 mL/min/1.73m2). Cox regression models were used to estimate hazard ratios (HR) for mortality across combined eGFR and lipoprotein(a) categories. Results: The mean age of the study population was 62.3 ± 10.6 years, 31.3% were female (n = 16,112). During a median follow-up of 5.0 years (interquartile range: 3.0–7.6 years), 13.0% (n = 6,695) of patients died. Compared with lipoprotein(a) Q1, lipoprotein(a) Q2–Q4 was associated with 10% increased adjusted risk of death in all patients (HR: 1.10 [95% CI: 1.03–1.17]), and was strongly associated with about 23% increased adjusted risk of death in patients with eGFR <60 mL/min/1.73m2 (HR: 1.23 [95% CI: 1.08–1.39]), while such association was not significant in patients with eGFR ≥60 mL/min/1.73m2 (HR: 1.05 [95% CI: 0.97–1.13]). P for interaction between lipoprotein(a) (Q1 vs. Q2–Q4) and eGFR (≥60 vs. eGFR <60 mL/min/1.73m2) on all-cause mortality was 0.019. Conclusions: Elevated lipoprotein(a) was associated with increased risk of all-cause mortality and such an association was modified by the baseline eGFR in CAG patients. More attention should be paid to the patients with reduced eGFR and elevated lipoprotein(a), and the appropriate lipoprotein(a) intervention is required.
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Affiliation(s)
- Zhidong Huang
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yanfang Yang
- The Graduate School of Clinical Medicine, Fujian Medical University, Fuzhou, China.,Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Jin Lu
- The Graduate School of Clinical Medicine, Fujian Medical University, Fuzhou, China.,Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Jingjing Liang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yibo He
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yaren Yu
- Department of Cardiology, The First People's Hospital of Foshan, Foshan, China
| | - Haozhang Huang
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qiang Li
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Bo Wang
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shanggang Li
- Department of Public Health, Guangdong Medical University, Dongguan, China
| | - Zelin Yan
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Danyuan Xu
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yong Liu
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Kaihong Chen
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Zhigang Huang
- Department of Public Health, Guangdong Medical University, Dongguan, China
| | - Jindong Ni
- Department of Public Health, Guangdong Medical University, Dongguan, China
| | - Jin Liu
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Liling Chen
- Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Shiqun Chen
- Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Xu N, Jiang L, Xu L, Tian J, Zhang C, Zhao X, Feng X, Wang D, Zhang Y, Sun K, Xu J, Liu R, Xu B, Zhao W, Hui R, Gao R, Gao Z, Song L, Yuan J. Impact of Lipoprotein(a) on Long-Term (Mean 6.2 Years) Outcomes in Patients With Three-Vessel Coronary Artery Disease. Am J Cardiol 2020; 125:528-533. [PMID: 31864520 DOI: 10.1016/j.amjcard.2019.10.037] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 10/19/2019] [Accepted: 10/28/2019] [Indexed: 02/02/2023]
Abstract
The aim of the cohort study was to investigate the relation between plasma lipoprotein(a) (Lp[a]) and long-term clinical outcomes in patients with three-vessel disease (TVD) after the following treatment strategies, including medical therapy alone, percutaneous coronary intervention, and coronary artery bypass grafting. A total of 6,175 consecutive patients with angiographically confirmed TVD and available baseline Lp(a) data were included in this study. Based on the median level of Lp(a) at admission, the patient was divided into 2 subgroups. Primary endpoint was major adverse cardiovascular events (MACE), of which all-cause death, myocardial infarction, and unplanned revascularization were all included. In general, the median value of Lp(a) reached 13.76 mg/dl for all patients. The median follow-up time of all patients was 6.2 years. For MACE, a total of 1,433 cases were generated, accounting for 23.2%, including 804 (13.0%) all-cause death, 302 (4.9 %) myocardial infarction, and 494 (8.0%) unplanned revascularization. For the incidence of MACE, the high Lp (a) and low Lp (a) groups were 24.3% to 22.1% (p = 0.015), respectively. When the risk factors were adjusted, the multivariate analysis showed that high Lp(a) levels was an independent predictor of primary outcome (adjusted hazard ratio 1.169, 95% confidence interval 1.046 to 1.306, p = 0.006). Except for gender group, there is a relatively consistent correlation in the various subgroups. In conclusion, plasma Lp(a) is a potential biomarker for risk stratification and prognosis in patients diagnosed with TVD.
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Yao J, Jiang L, Xue D, Sun Y. Predictive value of procalcitonin in chronic allograft dysfunction in kidney transplant recipients. Exp Ther Med 2019; 18:4603-4608. [PMID: 31777558 PMCID: PMC6862587 DOI: 10.3892/etm.2019.8113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 09/12/2019] [Indexed: 11/06/2022] Open
Abstract
The present study was designed to determine the potential role of circulating procalcitonin (PCT) in predicting chronic allograft dysfunction (CAD) in kidney transplant recipients (KTRs). A total of 87 KTRs were retrospectively analyzed and divided into a CAD and a non-CAD (normal renal function) group. Clinical features and inflammatory markers were compared between the groups, including PCT, white blood cell count, C-reactive protein, neutrophil percentage (N%) and lipoprotein(a) [Lp(a)], and the receiver operating characteristic (ROC) curve for CAD prediction was plotted. Univariate and multivariate logistic regression analyses were used to analyze the relevant risk factors for CAD. The results indicated that i) the values of these indicators in the CAD group, including the male ratio, years after transplantation, PCT, N% and Lp(a), were significantly higher than those in the non-CAD group, while the body mass index, aspartate aminotransferase, high-density lipoprotein and low-density lipoprotein were significantly lower; ii) PCT and Lp(a) were able to predict CAD with an area under the ROC curve of 0.893 and 0.770, respectively; iii) multivariate logistic regression analysis of factors influencing CAD in KTRs suggested that elevated PCT was an independent risk factor. In KTRs, PCT was identified as a potential biomarker for predicting CAD.
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Affiliation(s)
- Jing Yao
- Blood Purification Centre, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213003, P.R. China
| | - Lijuan Jiang
- Department of Clinical Laboratory, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, P.R. China
| | - Dong Xue
- Department of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, P.R. China
| | - Yanbei Sun
- Department of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, P.R. China
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Xu N, Tang XF, Yao Y, Zhao XY, Chen J, Gao Z, Qiao SB, Yang YJ, Gao RL, Xu B, Yuan JQ. Association of Plasma Lipoprotein(a) With Long-Term Adverse Events in Patients With Chronic Kidney Disease Who Underwent Percutaneous Coronary Intervention. Am J Cardiol 2018; 122:2043-2048. [PMID: 30477725 DOI: 10.1016/j.amjcard.2018.04.058] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 04/19/2018] [Accepted: 04/23/2018] [Indexed: 01/17/2023]
Abstract
We aimed to determine the association of plasma lipoprotein(a) (Lp[a]) with long-term clinical outcomes in patients with chronic kidney disease (CKD) after percutaneous coronary intervention (PCI) in an observational cohort study. Four hundred and twenty-seven consecutive patients with CKD who underwent PCI from January 2013 to December 2013 were included in this study. Patients were divided into 2 groups according to median levels of Lp(a). Outcomes included 2-year risk of major adverse cardiovascular and cerebrovascular events (MACCEs) and bleeding according to Bleeding Academic Research Consortium definitions. Overall, median of Lp(a) in all the patients was 217.8 mg/L. The 2-year MACCE rate across the high Lp(a) and low Lp(a) group was 23.0% versus 15.4% (p = 0.047) and bleeding event rate of the two groups 8.9% versus 4.2% (p = 0.049). The Lp(a) was significantly and positively correlated with high-sensitivity C-reactive protein levels (r2 = 0.03, p < 0.001). Kaplan-Meier curves revealed that high Lp(a) had higher incidence of bleeding than low Lp(a) (p = 0.043) and had higher risk of MACCE (p = 0.049). Multivariable Cox regression analysis indicated that high Lp(a) was an independent predictor of Bleeding Academic Research Consortium bleeding compared with low Lp(a) (hazard ratios 2.29, 95% confidence intervals 1.01 to 5.15, p = 0.046). In conclusion, a high Lp(a) value may be associated with a poor prognosis after PCI for patients with CKD.
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Hopewell JC, Haynes R, Baigent C. The role of lipoprotein (a) in chronic kidney disease. J Lipid Res 2018; 59:577-585. [PMID: 29378781 PMCID: PMC5880503 DOI: 10.1194/jlr.r083626] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Indexed: 01/05/2023] Open
Abstract
Lipoprotein (a) [Lp(a)] and its measurement, structure and function, the impact of ethnicity and environmental factors, epidemiological and genetic associations with vascular disease, and new prospects in drug development have been extensively examined throughout this Thematic Review Series on Lp(a). Studies suggest that the kidney has a role in Lp(a) catabolism, and that Lp(a) levels are increased in association with kidney disease only for people with large apo(a) isoforms. By contrast, in those patients with large protein losses, as in the nephrotic syndrome and continuous ambulatory peritoneal dialysis, Lp(a) is increased irrespective of apo(a) isoform size. Such acquired abnormalities can be reversed by kidney transplantation or remission of nephrosis. In this Thematic Review, we focus on the relationship between Lp(a), chronic kidney disease, and risk of cardiovascular events.
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Affiliation(s)
- Jemma C Hopewell
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
| | - Richard Haynes
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Population Health Research Unit, Oxford, United Kingdom
| | - Colin Baigent
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Population Health Research Unit, Oxford, United Kingdom
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