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Nasimi Doost Azgomi R, Karimi A, Moini Jazani A. The favorable impacts of cardamom on related complications of diabetes: A comprehensive literature systematic review. Diabetes Metab Syndr 2024; 18:102947. [PMID: 38325073 DOI: 10.1016/j.dsx.2024.102947] [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: 03/12/2023] [Revised: 01/07/2024] [Accepted: 01/14/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND AND AIM Complementary and alternative medicine plays an increasing role in preventing, and regulatory, complications associated with diabetes. There are plenty of polyphenolic compounds found in Elettaria cardamomum (Cardamom) such as luteolin, limonene, pelargonidin, caffeic acid, kaempferol, gallic acid, and quercetin which can be used in many metabolic diseases. METHOD The objective of this systematic review was to appraise evidence from clinical and in vivo studies on the effects of cardamom on inflammation, blood glucose, oxidative stress and dyslipidemia of diabetes mellitus. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements, the present study was carried out. Studies were conducted by searching databases such as EMBASE, Scopus, PubMed, Google Scholar, web of sciences, and Cochrane Library from the commencement until April 2022. RESULTS All available human and animal studies examining the effects of cardamom on diabetes were published in the form of English articles. Finally, only 14 of the 241 articles met the criteria for analysis. Of the 14 articles, 8 were in vivo studies, and 6 were clinical trial studies. Most studies have indicated the beneficial effects of cardamom on insulin resistance, oxidative stress and inflammation. Cardamom also improved dyslipidemia, but had no substantial effect on weight loss. CONCLUSION According to most studies, cardamom supplementation enhanced antioxidant enzyme production and activity in diabetes mellitus and decreased oxidative stress and inflammatory factors. Despite this, the exact mechanism of the disease needs to be identified through more clinical trials.
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Affiliation(s)
- Ramin Nasimi Doost Azgomi
- Traditional Medicine and Hydrotherapy Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Arash Karimi
- Traditional Medicine and Hydrotherapy Research Center, Ardabil University of Medical Sciences, Ardabil, Iran; Department of Clinical Nutrition, Faculty of Nutrition and Food Science, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Arezoo Moini Jazani
- Traditional Medicine and Hydrotherapy Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
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Dabravolski S, Orekhov NA, Melnichenko A, Sukhorukov VN, Popov MA, Orekhov A. Cholesteryl Ester Transfer Protein (CETP) Variations in Relation to Lipid Profiles and Cardiovascular Diseases: An Update. Curr Pharm Des 2024; 30:742-756. [PMID: 38425105 DOI: 10.2174/0113816128284695240219093612] [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: 10/26/2023] [Revised: 01/02/2024] [Accepted: 01/11/2024] [Indexed: 03/02/2024]
Abstract
Lipid metabolism plays an essential role in the pathogenesis of cardiovascular and metabolic diseases. Cholesteryl ester transfer protein (CETP) is a crucial glycoprotein involved in lipid metabolism by transferring cholesteryl esters (CE) and triglycerides (TG) between plasma lipoproteins. CETP activity results in reduced HDL-C and increased VLDL- and LDL-C concentrations, thus increasing the risk of cardiovascular and metabolic diseases. In this review, we discuss the structure of CETP and its mechanism of action. Furthermore, we focus on recent experiments on animal CETP-expressing models, deciphering the regulation and functions of CETP in various genetic backgrounds and interaction with different external factors. Finally, we discuss recent publications revealing the association of CETP single nucleotide polymorphisms (SNPs) with the risk of cardiovascular and metabolic diseases, lifestyle factors, diet and therapeutic interventions. While CETP SNPs can be used as effective diagnostic markers, diet, lifestyle, gender and ethnic specificity should also be considered for effective treatment.
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Affiliation(s)
- Siarhei Dabravolski
- Department of Biotechnology Engineering, ORT Braude College, Braude Academic College of Engineering, Karmiel, Israel
| | - Nikolay A Orekhov
- Laboratory of Angiopatology, Research Institute of General Pathology and Pathophysiology, The Russian Academy of Medical Sciences, Moscow, Russian Federation
| | - Alexandra Melnichenko
- Laboratory of Angiopatology, Research Institute of General Pathology and Pathophysiology, The Russian Academy of Medical Sciences, Moscow, Russian Federation
| | - Vasily N Sukhorukov
- Laboratory of Angiopatology, Research Institute of General Pathology and Pathophysiology, The Russian Academy of Medical Sciences, Moscow, Russian Federation
| | - Mikhail A Popov
- Laboratory of Angiopatology, Research Institute of General Pathology and Pathophysiology, The Russian Academy of Medical Sciences, Moscow, Russian Federation
| | - Alexander Orekhov
- Laboratory of Angiopatology, Research Institute of General Pathology and Pathophysiology, The Russian Academy of Medical Sciences, Moscow, Russian Federation
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Al-Kuraishy HM, Hussien NR, Al-Niemi MS, Fahad EH, Al-Buhadily AK, Al-Gareeb AI, Al-Hamash SM, Tsagkaris C, Papadakis M, Alexiou A, Batiha GES. SARS-CoV-2 induced HDL dysfunction may affect the host's response to and recovery from COVID-19. Immun Inflamm Dis 2023; 11:e861. [PMID: 37249296 DOI: 10.1002/iid3.861] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/18/2023] [Accepted: 04/21/2023] [Indexed: 05/31/2023] Open
Abstract
INTRODUCTION Covid-19 is linked with the development of cardio-metabolic disorders, including dyslipidemia, dysregulation of high-density lipoprotein (HDL), and low-density lipoprotein (LDL). Furthermore, SARS-Co-2 infection is associated with noteworthy changes in lipid profile, which is suggested as a possible biomarker to support the diagnosis and management of Covid-19. METHODS This paper adopts the literature review method to obtain information about how Covid-19 affects high-risk group patients and may cause severe and critical effects due to the development of acute lung injury and acute respiratory distress syndrome. A narrative and comprehensive review is presented. RESULTS Reducing HDL in Covid-19 is connected to the disease severity and poor clinical outcomes, suggesting that high HDL serum levels could benefit Covid-19. SARS-CoV-2 binds HDL, and this complex is attached to the co-localized receptors, facilitating viral entry. Therefore, SARS-CoV-2 infection may induce the development of dysfunctional HDL through different mechanisms, including induction of inflammatory and oxidative stress with activation of inflammatory signaling pathways. In turn, the induction of dysfunctional HDL induces the activation of inflammatory signaling pathways and oxidative stress, increasing Covid-19 severity. CONCLUSIONS Covid-19 is linked with the development of cardio-metabolic disorders, including dyslipidemia in general and dysregulation of high-density lipoprotein and low-density lipoprotein. Therefore, the present study aimed to overview the causal relationship between dysfunctional high-density lipoprotein and Covid-19.
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Affiliation(s)
- Hayder M Al-Kuraishy
- Department of Pharmacology, Toxicology, Medicine College of Medicine Al-Mustansiriyah University, Baghdad, Iraq
| | - Nawar R Hussien
- Department of Clinical Pharmacy, College of Pharmacy, Al-Farahidi University, Bagdad, Iraq
| | - Marwa S Al-Niemi
- Department of Clinical Pharmacy, College of Pharmacy, Al-Farahidi University, Bagdad, Iraq
| | - Esraa H Fahad
- Faculty of pharmacy, The University of Mashreq, Bagdad, Iraq
| | - Ali K Al-Buhadily
- Department of Clinical Pharmacology, Medicine and Therapeutic, Medical Faculty, College of Medicine, Al-Mustansiriya University, Baghdad, Iraq
| | - Ali I Al-Gareeb
- Department of Pharmacology, Toxicology, Medicine College of Medicine Al-Mustansiriyah University, Baghdad, Iraq
| | | | - Christos Tsagkaris
- Department of Health Sciences, Novel Global Community Educational Foundation, Hebersham, New South Wales, Australia
| | - Marios Papadakis
- Department of Surgery II, University Hospital Witten-Herdecke, University of Witten-Herdecke, Wuppertal, Germany
| | - Athanasios Alexiou
- Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, New South Wales, Australia
- AFNP Med Austria, Wien, Austria
| | - Gaber El-Saber Batiha
- Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicine, Damanhour University, Damanhour, AlBeheira, Egypt
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Degoricija V, Klobučar I, Potočnjak I, Dokoza Terešak S, Vidović L, Pregartner G, Berghold A, Habisch H, Madl T, Frank S. Cholesterol Content of Very-Low-Density Lipoproteins Is Associated with 1-Year Mortality in Acute Heart Failure Patients. Biomolecules 2022; 12:biom12101542. [PMID: 36291751 PMCID: PMC9599569 DOI: 10.3390/biom12101542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/12/2022] [Accepted: 10/20/2022] [Indexed: 11/16/2022] Open
Abstract
Considering the relationship between the extent of metabolic derangement and the disease severity in heart failure, we hypothesized that the lipid content of very-low-density lipoprotein (VLDL) may have prognostic value for 1 year mortality in acute heart failure (AHF). Baseline serum levels of VLDL cholesterol (VLDL-C), VLDL triglycerides (VLDL-TG), VLDL phospholipids (VLDL-PL), and VLDL apolipoprotein B (VLDL-apoB) were measured using NMR spectroscopy. We calculated the ratios of the respective VLDL lipids and VLDL apoB (VLDL-C/VLDL-apoB, VLDL-TG/VLDL-apoB, and VLDL-PL/VLDL-apoB), as estimators of the cholesterol, triglyceride, and phospholipid content of VLDL particles and tested their association with mortality. Out of 315 AHF patients, 118 (37.5%) patients died within 1 year after hospitalization for AHF. Univariable Cox regression analyses revealed a significant inverse association of VLDL-C/VLDL-apoB (hazard ratio (HR) 0.43, 95% confidence interval (CI) 0.29−0.64, p < 0.001), VLDL-TG/VLDL-apoB (HR 0.79, 95% CI 0.71−0.88, p < 0.001), and VLDL-PL/VLDL-apoB (HR 0.37, 95% CI 0.25−0.56, p < 0.001) with 1 year mortality. Of the tested parameters, only VLDL-C/VLDL-apoB remained significant after adjustment for age and sex, as well as other clinical and laboratory parameters that showed a significant association with 1 year mortality in the univariable analyses. We conclude that cholesterol content of circulating VLDL (VLDL-C/VLDL-apoB) might be of prognostic value in AHF.
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Affiliation(s)
- Vesna Degoricija
- School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
- Department of Medicine, Sisters of Charity University Hospital Centre, 10000 Zagreb, Croatia
| | - Iva Klobučar
- Department of Cardiology, Sisters of Charity University Hospital Centre, 10000 Zagreb, Croatia
| | - Ines Potočnjak
- Institute for Clinical Medical Research and Education, Sisters of Charity University Hospital Centre, 10000 Zagreb, Croatia
| | - Sanda Dokoza Terešak
- Department of Emergency Medicine, Sisters of Charity University Hospital Centre, 10000 Zagreb, Croatia
| | - Luka Vidović
- Department of Medicine, Sisters of Charity University Hospital Centre, 10000 Zagreb, Croatia
| | - Gudrun Pregartner
- Institute for Medical Informatics, Statistics und Documentation, Medical University of Graz, 8036 Graz, Austria
| | - Andrea Berghold
- Institute for Medical Informatics, Statistics und Documentation, Medical University of Graz, 8036 Graz, Austria
| | - Hansjörg Habisch
- Gottfried Schatz Research Center, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria
| | - Tobias Madl
- Gottfried Schatz Research Center, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria
- BioTechMed-Graz, 8010 Graz, Austria
| | - Saša Frank
- Gottfried Schatz Research Center, Molecular Biology and Biochemistry, Medical University of Graz, 8010 Graz, Austria
- BioTechMed-Graz, 8010 Graz, Austria
- Correspondence:
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The Potential Role of Electronegative High-Density Lipoprotein H5 Subfraction in RA-Related Atherosclerosis. Int J Mol Sci 2021; 22:ijms222111419. [PMID: 34768851 PMCID: PMC8584111 DOI: 10.3390/ijms222111419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 10/17/2021] [Accepted: 10/20/2021] [Indexed: 01/23/2023] Open
Abstract
Although the heterogeneity of high-density lipoprotein-cholesterol (HDL-c) composition is associated with atherosclerotic cardiovascular risk, the link between electronegative subfractions of HDL-c and atherosclerosis in rheumatoid arthritis (RA) remains unknown. We examined the association of the percentage of the most electronegative subfraction of HDL-c (H5%) and RA-related atherosclerosis. Using anion-exchange purification/fast-protein liquid chromatography, we demonstrated significantly higher H5% in patients (median, 7.2%) than HC (2.8%, p < 0.005). Multivariable regression analysis revealed H5% as a significant predictor for subclinical atherosclerosis. We subsequently explored atherogenic role of H5 using cell-based assay. The results showed significantly higher levels of IL-1β and IL-8 mRNA in H5-treated (mean ± SD, 4.45 ± 1.22 folds, 6.02 ± 1.43-folds, respectively) than H1-treated monocytes (0.89 ± 0.18-folds, 1.03 ± 0.26-folds, respectively, both p < 0.001). In macrophages, H5 upregulated the mRNA and protein expression of IL-1β and IL-8 in a dose-dependent manner, and their expression levels were significantly higher than H1-treated macrophages (all p < 0.001). H5 induced more foam cell formation compared with H1-treated macrophages (p < 0.005). In addition, H5 has significantly lower cholesterol efflux capacity than H1 (p < 0.005). The results of nanoLC-MS/MS approach reveal that the best discriminator between high-H5% and normal-H5% is Apo(a), the main constituent of Lp(a). Moreover, Lp(a) level is a significant predictor for high-H5%. These observations suggest that H5 is involved in RA-related atherosclerosis.
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Zhao P, Wang Y, Zhang L, Zhang J, Liu N, Wang H. Mechanism of long non‑coding RNA metastasis‑associated lung adenocarcinoma transcript 1 in lipid metabolism and inflammation in heart failure. Int J Mol Med 2021; 47:5. [PMID: 33448307 PMCID: PMC7834958 DOI: 10.3892/ijmm.2020.4838] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 09/21/2020] [Indexed: 01/02/2023] Open
Abstract
Heart failure (HF) is a serious threat to human health. Long noncoding RNAs (lncRNAs) are critical regulators of HF. The aim of the study was to investigate the molecular mechanism of MALAT1 in HF rats. MALAT1 expression was detected in serum of normal volunteers and HF patients, HF rats and isoproterenol (ISO)-induced H9C2 cells, and its diagnostic value was evaluated in HF patients. Indexes related to cardiac functions and hemodynamics, myocardial injury, lipid metabolism, lipid oxidation, and inflammation were detected. Moreover, the downstream mechanism of MALAT1 was predicted and verified and in vivo experiments were further performed in ISO-induced H9C2 cells to verify the effects of MALAT1 in HF. MALAT1 was highly expressed in serum of HF patients, HF rats and ISO-induced H9C2 cells and was valuable in predicting HF. Inhibition of MALAT1 increased cardiac function and anti-inflammation and alleviated myocardial injury, lipid metabolism, lipid oxidation and apoptosis rates. Inhibition of MALAT1 reduced H9C2 cell injury. MALAT1 competitively bound to microRNA (miR)-532-3p to upregulate LDLR protein. Inhibition of miR-532-3p weakened the protective effect of downregulated MALAT1 against H9C2 cell injury. We concluded that MALAT1 upregulated LDLR expression by competitively binding to miR-532-3p, thereby increasing pathological injury in HF.
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Affiliation(s)
- Peng Zhao
- Department of Cardiology I, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China
| | - Yunkai Wang
- Department of Cardiac Surgery ICU, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China
| | - Luping Zhang
- Department of Reproductive Medicine, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China
| | - Jinhua Zhang
- Department of Physical Examination, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China
| | - Ning Liu
- Department of Obstetrics and Gynecology, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China
| | - Hongqiang Wang
- Department of Cardiology II, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China
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Shu T, Ning W, Wu D, Xu J, Han Q, Huang M, Zou X, Yang Q, Yuan Y, Bie Y, Pan S, Mu J, Han Y, Yang X, Zhou H, Li R, Ren Y, Chen X, Yao S, Qiu Y, Zhang DY, Xue Y, Shang Y, Zhou X. Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19. Immunity 2020; 53:1108-1122.e5. [PMID: 33128875 PMCID: PMC7574896 DOI: 10.1016/j.immuni.2020.10.008] [Citation(s) in RCA: 192] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 08/11/2020] [Accepted: 10/14/2020] [Indexed: 01/08/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is a global public health crisis. However, little is known about the pathogenesis and biomarkers of COVID-19. Here, we profiled host responses to COVID-19 by performing plasma proteomics of a cohort of COVID-19 patients, including non-survivors and survivors recovered from mild or severe symptoms, and uncovered numerous COVID-19-associated alterations of plasma proteins. We developed a machine-learning-based pipeline to identify 11 proteins as biomarkers and a set of biomarker combinations, which were validated by an independent cohort and accurately distinguished and predicted COVID-19 outcomes. Some of the biomarkers were further validated by enzyme-linked immunosorbent assay (ELISA) using a larger cohort. These markedly altered proteins, including the biomarkers, mediate pathophysiological pathways, such as immune or inflammatory responses, platelet degranulation and coagulation, and metabolism, that likely contribute to the pathogenesis. Our findings provide valuable knowledge about COVID-19 biomarkers and shed light on the pathogenesis and potential therapeutic targets of COVID-19.
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Affiliation(s)
- Ting Shu
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China; State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan, Hubei 430071, China; Center for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China
| | - Wanshan Ning
- MOE Key Laboratory of Molecular Biophysics, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China
| | - Di Wu
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan, Hubei 430071, China; Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, CAS, Wuhan, Hubei 430023, China
| | - Jiqian Xu
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, HUST, Wuhan, Hubei 430030, China
| | - Qiangqiang Han
- SpecAlly Life Technology Co., Ltd., Wuhan, Hubei 430075, China
| | - Muhan Huang
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan, Hubei 430071, China; Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, CAS, Wuhan, Hubei 430023, China
| | - Xiaojing Zou
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, HUST, Wuhan, Hubei 430030, China
| | - Qingyu Yang
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China; State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan, Hubei 430071, China; Center for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China
| | - Yang Yuan
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China; Center for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China
| | - Yuanyuan Bie
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan, Hubei 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shangwen Pan
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, HUST, Wuhan, Hubei 430030, China
| | - Jingfang Mu
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan, Hubei 430071, China; Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, CAS, Wuhan, Hubei 430023, China
| | - Yang Han
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China; State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan, Hubei 430071, China; Center for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China
| | - Xiaobo Yang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, HUST, Wuhan, Hubei 430030, China
| | - Hong Zhou
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China; Center for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China
| | - Ruiting Li
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, HUST, Wuhan, Hubei 430030, China
| | - Yujie Ren
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan, Hubei 430071, China; Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, CAS, Wuhan, Hubei 430023, China
| | - Xi Chen
- SpecAlly Life Technology Co., Ltd., Wuhan, Hubei 430075, China
| | - Shanglong Yao
- Institute of Anesthesiology and Critical Care Medicine, Union Hospital, Tongji Medical College, HUST, Wuhan, Hubei 430030, China; Clinical Research Center for Anesthesiology of Hubei Province, Wuhan 430030, China
| | - Yang Qiu
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan, Hubei 430071, China; Center for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China; Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, CAS, Wuhan, Hubei 430023, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Ding-Yu Zhang
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China; Center for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China; Center for Biosafety Mega-Science, CAS, Wuhan, Hubei 430071, China.
| | - Yu Xue
- MOE Key Laboratory of Molecular Biophysics, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology (HUST), Wuhan, Hubei 430074, China.
| | - You Shang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, HUST, Wuhan, Hubei 430030, China; Institute of Anesthesiology and Critical Care Medicine, Union Hospital, Tongji Medical College, HUST, Wuhan, Hubei 430030, China; Clinical Research Center for Anesthesiology of Hubei Province, Wuhan 430030, China; Center for Biosafety Mega-Science, CAS, Wuhan, Hubei 430071, China.
| | - Xi Zhou
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan, Hubei 430071, China; Center for Translational Medicine, Wuhan Jinyintan Hospital, Wuhan, Hubei 430023, China; Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, CAS, Wuhan, Hubei 430023, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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Liu Y, Chan DK, Thalamuthu A, Wen W, Jiang J, Paradise M, Lee T, Crawford J, Wai Kin Wong M, Hua Xu Y, Poljak A, Pickford R, Sachdev PS, Braidy N. Plasma lipidomic biomarker analysis reveals distinct lipid changes in vascular dementia. Comput Struct Biotechnol J 2020; 18:1613-1624. [PMID: 32670502 PMCID: PMC7334482 DOI: 10.1016/j.csbj.2020.06.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/31/2020] [Accepted: 06/01/2020] [Indexed: 11/17/2022] Open
Abstract
Vascular dementia (VaD) is a complex neurocognitive disorder secondary to a variety of cerebrovascular lesions. Numerous studies have shown that lipid metabolism is involved in the pathobiology of the disease. We examined the plasma lipid profiles in VaD, with the expectation of identifying reliable lipid biomarkers for VaD. 49 VaD patients and 48 healthy controls were recruited from Bankstown-Lidcombe Hospital in Sydney, Australia. Lipids were extracted by single phase 1-butanol/methanol, and untargeted analysis was performed by liquid chromatography coupled-mass spectrometry (LC–MS/MS). Univariate analysis of variance was used to examine the differences in lipid classes and individual lipids between VaD and control groups. In an independent sample of 161 subjects from the Older Australian Twins Study (OATS), elastic net penalization for the generalized linear model (Glmnet) and Random Forest were applied to the lipid levels to subcategorise the sample into vascular cognitive impairment and controls. Most lipids belonging to the classes of ceramides (Cer), cholesterol esters (ChE) and phospholipids were significantly lower in VaD plasma, while glycerides were elevated compared to controls. Levels of ChE, Cer and the two lipid classes together achieved the best accuracy in discriminating VaD from controls, with more than 80% accuracy. The probable VaD group in the OATS sample predicted by the lipid levels showed greater impairment in most cognitive domains, especially attention and processing speed and executive function from controls but did not differ in white matter hyperintensities and DTI measures. As a conclusion, plasma lipids levels, in particular Cer and ChE, are abnormal in VaD and may help discriminate them from healthy controls. Understanding the basis of these differences may provide insights into the pathobiology of VaD.
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Affiliation(s)
- Yue Liu
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Daniel K.Y. Chan
- Department of Aged Care and Rehabilitation, Bankstown Hospital, Bankstown, NSW, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Randwick, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Matthew Paradise
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Teresa Lee
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - John Crawford
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Matthew Wai Kin Wong
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Ying Hua Xu
- Department of Aged Care and Rehabilitation, Bankstown Hospital, Bankstown, NSW, Australia
| | - Anne Poljak
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Russell Pickford
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, Euroa Centre, Prince of Wales Hospital, Sydney, Australia
| | - Nady Braidy
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia
- Corresponding author: School of Medicine, Huzhou University, Wuxing district, Zhejiang, China
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Proprotein Convertase Subtilisin/Kexin Type 9, Angiopoietin-Like Protein 8, Sortilin, and Cholesteryl Ester Transfer Protein-Friends of Foes for Psoriatic Patients at the Risk of Developing Cardiometabolic Syndrome? Int J Mol Sci 2020; 21:ijms21103682. [PMID: 32456228 PMCID: PMC7279158 DOI: 10.3390/ijms21103682] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 05/16/2020] [Accepted: 05/21/2020] [Indexed: 12/13/2022] Open
Abstract
Psoriasis is a systemic, immune-metabolic disease with strong genetic predispositions and autoimmune pathogenic traits. During psoriasis progression, a wide spectrum of comorbidities comes into play with the leading role of the cardio-metabolic syndrome (CMS) that occurs with the frequency of 30–50% amongst the psoriatic patients. Both conditions—psoriasis and CMS—have numerous common pathways, mainly related to proinflammatory pathways and cytokine profiles. Surprisingly, despite the years of research, the exact pathways linking the occurrence of CMS in the psoriasis population are still not fully understood. Recently published papers, both clinical and based on the basic science, shed new light into this relationship providing an insight into novel key-players proteins with plausible effects on above-mentioned interplay. Taking into account recent advances in this important medical matter, this review aims to discuss comprehensively the role of four proteins: proprotein convertase subtilisin/kexin type-9 (PSCK9), angiopoietin-like protein 8 (ANGPLT8), sortilin (SORT1), and cholesteryl ester transfer proteins (CEPT) as plausible links between psoriasis and CMS.
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