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Si Y, Liu J, Shan W, Zhang Y, Han C, Wang R, Sun L. Association of lymphocyte-to-monocyte ratio with total coronary plaque burden in patients with coronary artery disease. Coron Artery Dis 2020; 31:650-655. [PMID: 32097130 PMCID: PMC7531493 DOI: 10.1097/mca.0000000000000857] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 01/19/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Lymphocyte-to-monocyte ratio (LMR) is involved in all stages of coronary atherosclerosis and related to coronary artery disease (CAD). However, the correlation between LMR and the coronary plaque burden of CAD is not clearly elucidated. Therefore, this study aimed to investigate their correlation in patients with CAD. METHODS A total of 1953 consecutive eligible inpatients with suspected CAD were retrospectively included in this study. They were assigned into CAD (n = 564) and non-CAD groups (n = 1389). All patients underwent coronary computed tomographic angiography to evaluate coronary stenosis and coronary artery calcification (CAC). Spearman's tests were used to analyze the correlation between CAC score and LMR. Multivariate logistic regression models were set up to assess the risk factors of CAD. RESULTS Patients with CAD had lower LMR value than patients without CAD (P = 0.001). LMR was negatively correlated with CAC score and was an independent risk factor of CAC score (P < 0.05). Multivariate logistic regression model showed that LMR ≤4.8 was a newly independent risk factor of CAD (all P < 0.05). Additionally, the new risk score model was compared with the Framingham model and showed that NRI was 4.9%, which proved that the new risk score model improved the prediction capability of CAD. CONCLUSION LMR ≤4.8 is a new independent risk factor of CAD. LMR value was negatively correlated with CAC score and could be used as a new marker to evaluate the coronary plaque burden of CAD.
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Affiliation(s)
- Yueqiao Si
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Jingyi Liu
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Weichao Shan
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Ying Zhang
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Chao Han
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Ruijuan Wang
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
| | - Lixian Sun
- Department of Cardiology, The Affiliated Hospital of Chengde Medical University, Chengde, HeBei, China
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Asghar MS, Khan NA, Haider Kazmi SJ, Ahmed A, Hassan M, Jawed R, Akram M, Rasheed U, Memon GM, Ahmed MU, Tahniyat U, Tirmizi SB. Hematological parameters predicting severity and mortality in COVID-19 patients of Pakistan: a retrospective comparative analysis. J Community Hosp Intern Med Perspect 2020; 10:514-520. [PMID: 33194120 PMCID: PMC7599007 DOI: 10.1080/20009666.2020.1816276] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background and Objectives: COVID-19 is a global pandemic. In our study, we aimed to utilize the hematological parameters in predicting the prognosis and mortality in COVID-19 patients. Materials and methods: A retrospective, observational study was conducted to include all the admitted patients (n = 191) having COVID-19 Polymerase chain reaction (PCR) positive, and evaluated those for prognosis and disease outcome by utilizing several biochemical and hematological markers. Results: Amongst the patients admitted in the ward versus in the intensive care unit (ICU), there were significant differences in mean hemoglobin (P = 0.003), total leukocyte count (P = 0.001), absolute neutrophil and lymphocyte counts (P < 0.001), absolute monocyte count (P = 0.019), Neutrophil-to-Lymphocyte ratio (NLR) and Lymphocyte-to-Monocyte ratio (LMR) (P < 0.001), Platelet-to-Lymphocyte ratio (PLR) and Lymphocyte-to C-reactive protein ratio (LCR) (P = 0.002), and C-reactive protein (CRP) levels (P < 0.001). Amongst the deceased patients, there was significant leukocytosis (P = 0.008), neutrophilia and lymphopenia (P < 0.001), increased NLR (P = 0.001), decreased LMR (P < 0.001), increased PLR (p = 0.017), decreased LCR (p = 0.003), and elevated CRP level (P < 0.001). A receiver operating characteristic curve obtained for the above parameters showed NLR (AUC: 0.841, PPV: 83.6%) and PLR (AUC: 0.703, PPV: 81.8%) for ICU patients, while NLR (AUC: 0.860, PPV: 91.1%) and PLR (AUC: 0.677, PPV: 87.5%) for the deceased patients had significant accuracy for predicting the disease severity of COVID-19 in comparison to survivors. Conclusion: The inflammatory markers and hematological indices are a good guide for predicting the severity and disease outcome of coronavirus disease. NLR and PLR are elevated in severe disease while LMR and LCR are inversely correlating with disease severity.
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Affiliation(s)
- Muhammad Sohaib Asghar
- Resident Physician of Internal Medicine, Dow University of Health Sciences, Karachi, Pakistan
| | - Noman Ahmed Khan
- Resident of General Surgery, Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Syed Jawad Haider Kazmi
- Resident of Emergency Medicine, Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Aftab Ahmed
- Emergency Medicine, Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Maira Hassan
- Intern of Internal Medicine, Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Rumael Jawed
- Intern of General Surgery, Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Mohammed Akram
- Intern of Internal Medicine, Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Uzma Rasheed
- Intern of Internal Medicine, Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Gul Muhammad Memon
- Intern of Internal Medicine, Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Muhammad Umer Ahmed
- Resident Physician of Internal Medicine, Ziauddin University Hospital, Karachi, Pakistan
| | - Umme Tahniyat
- Intern of Internal Medicine, Liaquat National Hospital & Medical College, Karachi, Pakistan
| | - Syeda Batool Tirmizi
- Medical Officer of General Surgery, Memon Medical Institute Hospital, Karachi, Pakistan
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53
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Ma X, Ma H, Yun Y, Chen S, Zhang X, Zhao D, Liu Y, Shen H, Wu C, Zheng J, Zhang T, Xu Z, Sun L, Zhang H, Zhang W, Zou C, Wang Z. Lymphocyte-to-monocyte ratio in predicting the calcific aortic valve stenosis in a Chinese case-control study. Biomark Med 2020; 14:1329-1339. [PMID: 33064019 DOI: 10.2217/bmm-2020-0228] [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: 04/19/2020] [Accepted: 07/15/2020] [Indexed: 11/21/2022] Open
Abstract
Aim: This study examined the role of lymphocyte-to-monocyte ratio (LMR), an inflammatory biomarker, in predicting the severity of calcific aortic valve stenosis (CAVS) in a Chinese case-control study. Results: The LMR significantly decreased in the patients with CAVS compared with healthy controls. An inverse correlation was observed between the severity of stenosis and LMR in the patients. Additionally, the LMR was identified in the multivariate analysis as an independent predictor of severe CAVS. Conclusion: This study provides evidence of an inverse correlation between the severity of CAVS and LMR. LMR could potentially be applied as an independent predictor of severe CAVS and could be incorporated into a novel predictive model.
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Affiliation(s)
- Xiaochun Ma
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Huibo Ma
- Qingdao University Medical College, 308 Ningxia Road, Qingdao University, Qingdao, Shandong 266071, China
| | - Yan Yun
- Department of Radiology, Qilu Hospital of Shandong University, No. 107 West Wenhua Road, Jinan 250012, Shandong Province, China
| | - Shanghao Chen
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Xiaofeng Zhang
- Department of Cardiovascular Surgery, The Second Hospital of Shandong University, No. 247 Beiyuan Road, Tianqiao District, Jinan 250033, Shandong Province, China
| | - Diming Zhao
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Yanwu Liu
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Hechen Shen
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Chuanni Wu
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Jing Zheng
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Tao Zhang
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Zhenqiang Xu
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Liangong Sun
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Haizhou Zhang
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Wenlong Zhang
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Chengwei Zou
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
| | - Zhengjun Wang
- Department of Cardiovascular Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
- Department of Cardiovascular Surgery, Shandong Provincial Hospital Affiliated to Shandong University, No. 324 Jingwu Road, Jinan, Shandong 250021, China
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van der Heijden CDCC, Smeets EMM, Aarntzen EHJG, Noz MP, Monajemi H, Kersten S, Kaffa C, Hoischen A, Deinum J, Joosten LAB, Netea MG, Riksen NP. Arterial Wall Inflammation and Increased Hematopoietic Activity in Patients With Primary Aldosteronism. J Clin Endocrinol Metab 2020; 105:5686861. [PMID: 31875423 PMCID: PMC7105350 DOI: 10.1210/clinem/dgz306] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 12/24/2019] [Indexed: 12/13/2022]
Abstract
CONTEXT Primary aldosteronism (PA) confers an increased risk of cardiovascular disease (CVD), independent of blood pressure. Animal models have shown that aldosterone accelerates atherosclerosis through proinflammatory changes in innate immune cells; human data are scarce. OBJECTIVE The objective of this article is to explore whether patients with PA have increased arterial wall inflammation, systemic inflammation, and reprogramming of monocytes. DESIGN A cross-sectional cohort study compared vascular inflammation on 2'-deoxy-2'-(18F)fluoro-D-glucose; (18F-FDG) positron emission tomography-computed tomography, systemic inflammation, and monocyte phenotypes and transcriptome between PA patients and controls. SETTING This study took place at Radboudumc and Rijnstate Hospital, the Netherlands. PATIENTS Fifteen patients with PA and 15 age-, sex-, and blood pressure-matched controls with essential hypertension (EHT) participated. MAIN OUTCOME MEASURES AND RESULTS PA patients displayed a higher arterial 18F-FDG uptake in the descending and abdominal aorta (P < .01, P < .05) and carotid and iliac arteries (both P < .01). In addition, bone marrow uptake was higher in PA patients (P < .05). Although PA patients had a higher monocyte-to-lymphocyte ratio (P < .05), systemic inflammatory markers, cytokine production capacity, and transcriptome of circulating monocytes did not differ. Monocyte-derived macrophages from PA patients expressed more TNFA; monocyte-derived macrophages of healthy donors cultured in PA serum displayed increased interleukin-6 and tumor necrosis factor-α production. CONCLUSIONS Because increased arterial wall inflammation is associated with accelerated atherogenesis and unstable plaques, this might importantly contribute to the increased CVD risk in PA patients. We did not observe inflammatory reprogramming of circulating monocytes. However, subtle inflammatory changes are present in the peripheral blood cell composition and monocyte transcriptome of PA patients, and in their monocyte-derived macrophages. Most likely, arterial inflammation in PA requires interaction between various cell types.
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Affiliation(s)
- Charlotte D C C van der Heijden
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Esther M M Smeets
- Department of Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Erik H J G Aarntzen
- Department of Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marlies P Noz
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Houshang Monajemi
- Department of Internal Medicine, Rijnstate Hospital, Arnhem, the Netherlands
| | - Simone Kersten
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Charlotte Kaffa
- Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Alexander Hoischen
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jaap Deinum
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Medicine, University Hospital Dresden, Technische Universität, Dresden, Germany
| | - Leo A B Joosten
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Medical Genetics, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Mihai G Netea
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Department for Genomics & Immunoregulation, Life and Medical Sciences 12 Institute, University of Bonn, Bonn, Germany
| | - Niels P Riksen
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
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55
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Battaglia S, Scialpi N, Berardi E, Antonica G, Suppressa P, Diella FA, Colapietro F, Ruggieri R, Guglielmini G, Noia A, Graziano G, Sabbà C, Cariello M. Gender, BMI and fasting hyperglycaemia influence Monocyte to-HDL ratio (MHR) index in metabolic subjects. PLoS One 2020; 15:e0231927. [PMID: 32343751 PMCID: PMC7188261 DOI: 10.1371/journal.pone.0231927] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 04/05/2020] [Indexed: 12/15/2022] Open
Abstract
Metabolic Syndrome (MS) is characterized by a low-grade inflammatory state causing an alteration of non-invasive indexes derived from blood count, namely monocyte-to-HDL ratio (MHR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR). We analyse a population of 771 subjects (394 controls and 377 MS patients) to evaluate the best predictive index of MS. The diagnosis of MS was made according to the 2006 criteria of the International Diabetes Federation (IDF). We performed ROC curve analyses to evaluate the best predictor index of MS. MHR cut-off value was used to classify the population in two different groups and to create the outcome variable of the Recursive Partitioning and Amalgamation (RECPAM) analysis. This method is a tree-structured approach that defines "risk profiles" for each group of dichotomous variables. We showed that MHR index is significantly linked to body mass index (BMI), waist circumference, creatinine, C-reactive protein (CRP), Erythrocyte Sedimentation Rate (ESR). ROC curve defined an MHR cut-off value of 6.4, which was able to identify two patient groups with significant differences in waist circumference, blood pressure, creatinine, estimated glomerular filtration rate and fasting plasma glucose. RECPAM analysis demonstrated that gender, BMI categorization and hyperglycaemia were the most important risk determinants of increased MHR index that can be considered bona fide a useful and easily obtainable tool to suggest the presence of peculiar metabolic features that predict MS.
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Affiliation(s)
- Stefano Battaglia
- Department of Interdisciplinary Medicine, “Aldo Moro” University of Bari, Bari, Italy
- Department of Tissues and Organs Transplantation and Cellular Therapies, “Aldo Moro” University of Bari, Bari, Italy
| | - Natasha Scialpi
- INBB, National Institute for Biostructures and Biosystems, Rome, Italy
| | - Elsa Berardi
- Department of Interdisciplinary Medicine, “Aldo Moro” University of Bari, Bari, Italy
| | - Gianfranco Antonica
- Department of Interdisciplinary Medicine, “Aldo Moro” University of Bari, Bari, Italy
| | - Patrizia Suppressa
- Department of Interdisciplinary Medicine, “Aldo Moro” University of Bari, Bari, Italy
| | | | | | - Roberta Ruggieri
- INBB, National Institute for Biostructures and Biosystems, Rome, Italy
| | | | - Alessia Noia
- Department of Interdisciplinary Medicine, “Aldo Moro” University of Bari, Bari, Italy
| | - Giusi Graziano
- INBB, National Institute for Biostructures and Biosystems, Rome, Italy
| | - Carlo Sabbà
- Department of Interdisciplinary Medicine, “Aldo Moro” University of Bari, Bari, Italy
| | - Marica Cariello
- Department of Interdisciplinary Medicine, “Aldo Moro” University of Bari, Bari, Italy
- * E-mail:
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56
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Mandatori S, Pacella I, Marzolla V, Mammi C, Starace D, Padula F, Vitiello L, Armani A, Savoia C, Taurino M, De Zio D, Giampietri C, Piconese S, Cecconi F, Caprio M, Filippini A. Altered Tregs Differentiation and Impaired Autophagy Correlate to Atherosclerotic Disease. Front Immunol 2020; 11:350. [PMID: 32231663 PMCID: PMC7082762 DOI: 10.3389/fimmu.2020.00350] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 02/13/2020] [Indexed: 12/21/2022] Open
Abstract
Atherosclerosis is a progressive vascular disease representing the primary cause of morbidity and mortality in developed countries. Formerly, atherosclerosis was considered as a mere passive accumulation of lipids in blood vessels. However, it is now clear that atherosclerosis is a complex and multifactorial disease, in which the involvement of immune cells and inflammation play a key role. A variety of studies have shown that autophagy-a cellular catalytic mechanism able to remove injured cytoplasmic components in response to cellular stress-may be proatherogenic. So far, in this context, its role has been investigated in smooth muscle cells, macrophages, and endothelial cells, while the function of this catabolic protective process in lymphocyte functionality has been overlooked. The few studies carried out so far, however, suggested that autophagy modulation in lymphocyte subsets may be functionally related to plaque formation and development. Therefore, in this research, we aimed at better clarifying the role of lymphocyte subsets, mainly regulatory T cells (Tregs), in human atherosclerotic plaques and in animal models of atherosclerosis investigating the contribution of autophagy on immune cell homeostasis. Here, we investigate basal autophagy in a mouse model of atherosclerosis, apolipoprotein E (ApoE)-knockout (KO) mice, and we analyze the role of autophagy in driving Tregs polarization. We observed defective maturation of Tregs from ApoE-KO mice in response to tumor growth factor-β (TGFβ). TGFβ is a well-known autophagy inducer, and Tregs maturation defects in ApoE-KO mice seem to be related to autophagy impairment. In this work, we propose that autophagy underlies Tregs maturation, advocating that the study of this process in atherosclerosis may open new therapeutic strategies.
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Affiliation(s)
- Sara Mandatori
- Unit of Histology and Medical Embryology, Department of Anatomy, Histology, Forensic Medicine and Orthopaedics, Sapienza University of Rome, Rome, Italy
| | - Ilenia Pacella
- Laboratory of Cellular and Molecular Immunology, Department of Internal Clinical Sciences, Anaesthesiology and Cardiovascular Sciences, Sapienza Università di Roma, Rome, Italy.,Laboratory Affiliated to Istituto Pasteur Italia - Fondazione Cenci Bolognetti, Rome, Italy
| | - Vincenzo Marzolla
- Laboratory of Cardiovascular Endocrinology, IRCCS San Raffaele Pisana, Rome, Italy
| | - Caterina Mammi
- Laboratory of Cardiovascular Endocrinology, IRCCS San Raffaele Pisana, Rome, Italy
| | - Donatella Starace
- UOC, Clinical Pathology, San Giovanni Addolorata Hospital, Rome, Italy
| | - Fabrizio Padula
- Unit of Histology and Medical Embryology, Department of Anatomy, Histology, Forensic Medicine and Orthopaedics, Sapienza University of Rome, Rome, Italy
| | - Laura Vitiello
- Flow Cytometry Unit, IRCCS San Raffaele Pisana, Rome, Italy
| | - Andrea Armani
- Laboratory of Cardiovascular Endocrinology, IRCCS San Raffaele Pisana, Rome, Italy
| | - Carmine Savoia
- Cardiology Unit, Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Maurizio Taurino
- Unit of Vascular Surgery, Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Daniela De Zio
- Cell Stress and Survival Unit, Center of Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Claudia Giampietri
- Unit of Human Anatomy, Department of Anatomy, Histology, Forensic Medicine and Orthopaedics, Sapienza University of Rome, Rome, Italy
| | - Silvia Piconese
- Laboratory of Cellular and Molecular Immunology, Department of Internal Clinical Sciences, Anaesthesiology and Cardiovascular Sciences, Sapienza Università di Roma, Rome, Italy.,Laboratory Affiliated to Istituto Pasteur Italia - Fondazione Cenci Bolognetti, Rome, Italy
| | - Francesco Cecconi
- Cell Stress and Survival Unit, Center of Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Paediatric Haematology and Oncology, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.,Department of Biology, University of Rome Tor Vergata, Rome, Italy
| | - Massimiliano Caprio
- Laboratory of Cardiovascular Endocrinology, IRCCS San Raffaele Pisana, Rome, Italy.,Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy
| | - Antonio Filippini
- Unit of Histology and Medical Embryology, Department of Anatomy, Histology, Forensic Medicine and Orthopaedics, Sapienza University of Rome, Rome, Italy
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Fahy GM, Brooke RT, Watson JP, Good Z, Vasanawala SS, Maecker H, Leipold MD, Lin DTS, Kobor MS, Horvath S. Reversal of epigenetic aging and immunosenescent trends in humans. Aging Cell 2019; 18:e13028. [PMID: 31496122 PMCID: PMC6826138 DOI: 10.1111/acel.13028] [Citation(s) in RCA: 300] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Revised: 07/16/2019] [Accepted: 08/04/2019] [Indexed: 12/15/2022] Open
Abstract
Epigenetic “clocks” can now surpass chronological age in accuracy for estimating biological age. Here, we use four such age estimators to show that epigenetic aging can be reversed in humans. Using a protocol intended to regenerate the thymus, we observed protective immunological changes, improved risk indices for many age‐related diseases, and a mean epigenetic age approximately 1.5 years less than baseline after 1 year of treatment (−2.5‐year change compared to no treatment at the end of the study). The rate of epigenetic aging reversal relative to chronological age accelerated from −1.6 year/year from 0–9 month to −6.5 year/year from 9–12 month. The GrimAge predictor of human morbidity and mortality showed a 2‐year decrease in epigenetic vs. chronological age that persisted six months after discontinuing treatment. This is to our knowledge the first report of an increase, based on an epigenetic age estimator, in predicted human lifespan by means of a currently accessible aging intervention.
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Affiliation(s)
| | | | - James P. Watson
- UCLA Division of Plastic and Reconstructive Surgery David Geffen School of Medicine Los Angeles CA USA
| | - Zinaida Good
- Departments of Microbiology and Immunology Stanford University Stanford CA USA
| | | | - Holden Maecker
- Institute for Immunity, Transplantation and Infection, Stanford School of Medicine Human Immune Monitoring Center Stanford CA USA
| | - Michael D. Leipold
- Institute for Immunity, Transplantation and Infection, Stanford School of Medicine Human Immune Monitoring Center Stanford CA USA
| | - David T. S. Lin
- Department of Medical Genetics, BC Children's Hospital Research Institute Centre for Molecular Medicine and Therapeutics, University of British Columbia Vancouver BC Canada
| | - Michael S. Kobor
- Department of Medical Genetics, BC Children's Hospital Research Institute Centre for Molecular Medicine and Therapeutics, University of British Columbia Vancouver BC Canada
| | - Steve Horvath
- Human Genetics, David Geffen School of Medicine University of California Los Angeles CA USA
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Afanasieva OI, Tmoyan NA, Klesareva EA, Razova OA, Ezhov MV, Afanasieva MI, Pokrovsky SN. [The Relationship of the Concentration of Lipoprotein(a) and Markers of Inflammation with Multifocal Atherosclerosis in Women]. ACTA ACUST UNITED AC 2019; 59:39-48. [PMID: 31615387 DOI: 10.18087/cardio.2019.10.n520] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 06/26/2019] [Indexed: 11/18/2022]
Abstract
PURPOSE to study relationship of lipoprotein(a) [Lp(a)], indicators of systemic inflammation and humoral immunity with severity of atherosclerotic involvement of various vascular beds in women. MATERIALS AND METHODS We included in this study 148 women aged 69±11 years with results of instrumental investigation of coronary, carotid arteries, and arteries of lower extremities. According to results of coronary angiography and ultrasound study patients were distributed into two groups: with stenosing atherosclerosis (those with hemodynamically significant [>50%] atherosclerotic lesions in any of these vascular beds, n=108), and control (those without hemodynamically significant stenoses, n=40). In dependence of extent of atherosclerotic involvement patients with stenosing atherosclerosis were divided into subgroups: with lesions in one vascular bed (subgroup 1, n=44) and with lesions in two and more vascular beds (subgroup 2, n=64). All patients with stenosing atherosclerosis and 78% of control patients took statins. In all patients we measured lipid spectrum, Lp(a) concentration, C-reactive protein (CRP). Preparations of oxidized lipoproteins [oxLp(a)] were obtained by Cu2+-induced free radical oxidation at 37 °С for 3 hours. Titer of autoantibodies to Lp(a), LDL and their oxidized modifications was determined by enzyme-linked immunosorbent assay (ELISA). Concentration of low-density lipoprotein cholesterol corrected on cholesterol in Lp(a) (LDLCh corr) was calculated by Dahlen modification of Friedewald formula. RESULTS Stenosing atherosclerosis was diagnosed in 60 of 74 women (80%) with Lp(a) concentration above median - 33 mg/dl (in 38 multifical). Increase of blood serum Lp(a) concentration was associated with presence of isolated as well as multifocal atherosclerosis according to unifactorial, multifactorial, and logistic analysis, irrespective of other factors of risk and indicators of inflammation. According to results of logistic regression analysis increase of Lp(a) concentration by 1 mg/dl was associated with 1 % elevation of probability of appearance and development of multifocal atherosclerosis in women. Low level of class IgM autoantibodies to Lp(a) was linked with detection of stenosing atherosclerosis in any of 3 vascular beds (1st vs. 4th quartile of IgM autoantibodies concentration - OR 7.6., 95%CI 1.9-29.4; р=0.004) and had diagnostic significance. Indicators of systemic inflammation such as CRP and circulating immune complexes were high and had diagnostic significance for detection of multifocal atherosclerosis in studied women. However none of indicators was predictor of appearance of stenosing atherosclerosis according to data of logistic regression analysis. CONCLUSION Elevated concentration of Lp(a) is an independent predictor of risk of development stenosing atherosclerosis in various vascular beds and appearance of multifocal irrespective of other risk factors, indicators of systemic inflammation, and factors of humoral immunity in women. Markers of inflammation, as well as IgM autoantibodies against Lp(a) have diagnostic value for detection of patients stenosing lesions ib one or several vascular beds.
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Affiliation(s)
- O I Afanasieva
- Institute of Experimental Cardiology, National Medical Research Center for Cardiology
| | - N A Tmoyan
- Institute of Experimental Cardiology, National Medical Research Center for Cardiology
| | - E A Klesareva
- Institute of Experimental Cardiology, National Medical Research Center for Cardiology
| | - O A Razova
- Institute of Experimental Cardiology, National Medical Research Center for Cardiology
| | - M V Ezhov
- Myasnikov's Institute of Clinical Cardiology, National Medical Research Center for Cardiology
| | - M I Afanasieva
- Institute of Experimental Cardiology, National Medical Research Center for Cardiology
| | - S N Pokrovsky
- Institute of Experimental Cardiology, National Medical Research Center for Cardiology
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