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Cates WT, Denbeigh JM, Salvagno RT, Kakar S, van Wijnen AJ, Eaton C. Inflammatory Markers Involved in the Pathogenesis of Dupuytren's Contracture. Crit Rev Eukaryot Gene Expr 2024; 34:1-35. [PMID: 38912961 DOI: 10.1615/critreveukaryotgeneexpr.2024052889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/25/2024]
Abstract
Dupuytren's disease is a common fibroproliferative disease that can result in debilitating hand deformities. Partial correction and return of deformity are common with surgical or clinical treatments at present. While current treatments are limited to local procedures for relatively late effects of the disease, the pathophysiology of this connective tissue disorder is associated with both local and systemic processes (e.g., fibrosis, inflammation). Hence, a better understanding of the systemic circulation of Dupuytren related cytokines and growth factors may provide important insights into disease progression. In addition, systemic biomarker analysis could yield new concepts for treatments of Dupuytren that attenuate circulatory factors (e.g., anti-inflammatory agents, neutralizing antibodies). Progress in the development of any disease modifying biologic treatment for Dupuytren has been hampered by the lack of clinically useful biomarkers. The characterization of nonsurgical Dupuytren biomarkers will permit disease staging from diagnostic and prognostic perspectives, as well as allows evaluation of biologic responses to treatment. Identification of such markers may transcend their use in Dupuytren treatment, because fibrotic biological processes fundamental to Dupuytren are relevant to fibrosis in many other connective tissues and organs with collagen-based tissue compartments. There is a wide range of potential Dupuytren biomarker categories that could be informative, including disease determinants linked to genetics, collagen metabolism, as well as immunity and inflammation (e.g., cytokines, chemokines). This narrative review provides a broad overview of previous studies and emphasizes the importance of inflammatory mediators as candidate circulating biomarkers for monitoring Dupuytren's disease.
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Affiliation(s)
- William T Cates
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN 55905, USA
| | - Janet M Denbeigh
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Sanjeev Kakar
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN 55905, USA
| | - Andre J van Wijnen
- Department of Biochemistry, University of Vermont, Burlington, VT 05405, USA
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Shou Y, Liu Y, Xu J, Liu J, Xu T, Tong J, Liu L, Hou Y, Liu D, Yang H, Cheng G, Zhang X. TIMP1 Indicates Poor Prognosis of Renal Cell Carcinoma and Accelerates Tumorigenesis via EMT Signaling Pathway. Front Genet 2022; 13:648134. [PMID: 35281807 PMCID: PMC8914045 DOI: 10.3389/fgene.2022.648134] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 02/11/2022] [Indexed: 12/29/2022] Open
Abstract
Renal cell carcinoma (RCC) is one of the most common malignancies in the urinary system. The mortality of advanced RCC remains high despite advances in systemic therapy of RCC. Considering the misdiagnosis of early-stage RCC, the identification of effective biomarkers is of great importance. Tissue inhibitor matrix metalloproteinase 1 (TIMP1), which belongs to TIMP gene family, is a natural inhibitor of the matrix metalloproteinases (MMPs). In this study, we found TIMP1 was significantly up-regulated in cell lines and RCC tissues. Kaplan-Meier analysis revealed that high expression of TIMP1 indicated a poor prognosis. Multivariate analysis further indicated that TIMP1 overexpression was an independent prognostic factor of RCC patients. Furthermore, knockdown of TIMP1 in vitro suppressed the proliferation, migration, and invasion of RCC cells, while upregulating TIMP1 accelerated the proliferation, migration, and invasion of RCC cells. In addition, we also found that TIMP1 prompted the progression of RCC via epithelial-to-mesenchymal transition (EMT) signaling pathway. In conclusion, the present results suggested that TIMP1 indicated poor prognosis of renal cell carcinoma and could serve as a potential diagnostic and prognostic biomarker for RCC.
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Affiliation(s)
- Yi Shou
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuenan Liu
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiaju Xu
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingchong Liu
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianbo Xu
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junwei Tong
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lilong Liu
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yaxin Hou
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Di Liu
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongmei Yang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gong Cheng
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Gong Cheng, ; Xiaoping Zhang,
| | - Xiaoping Zhang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Urologic Surgery, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Gong Cheng, ; Xiaoping Zhang,
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Pan J, Li X, Wang X, Yang L, Chen H, Su N, Wu C, Hao Y, Jin S, Li H. MCTR1 Intervention Reverses Experimental Lung Fibrosis in Mice. J Inflamm Res 2021; 14:1873-1881. [PMID: 34007201 PMCID: PMC8123946 DOI: 10.2147/jir.s304811] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 04/21/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose Pulmonary fibrosis (PF) is a progressing lethal disease, effective curative therapies remain elusive and mortality remains high. Maresin conjugates in tissue regeneration 1 (MCTR1) is a DHA-derived lipid mediator promoting inflammation resolution produced in macrophage. However, the effect of MCTR1 on PF remains unknown. Material and Methods We established a lung fibrosis model in mice induced by intratracheal administration of bleomycin (BLM). On day 7 after lung fibrosis model establishment, treatment with MCTR1 up to day 21. The body weight of each mouse was recorded every day and survival curves were plotted. Histological staining was used to detect pulmonary inflammation and fibrosis. Lung sections were examined with transmission electron microscope to evaluate the ultrastructure of cells and deposit of collagen. Inflammatory cytokines in lung tissues were tested by ELISA. q-PCR and Western blot were used to evaluate the mRNA and the protein levels of EMT-related markers. Results We found that MCTR1 intervention attenuated BLM-induced lung inflammatory and fibrotic response. Furthermore, MCTR1 protected BLM-induced epithelial cell destroy and reversed epithelial-to-mesenchymal transition phenotype into an epithelial one in lung fibrosis mice. Most importantly, post-treatment with MCTR1 restored BLM-induced lung dysfunction and enhanced survival rate significantly. Conclusion Posttreatment with MCTR1 attenuated BLM-induced inflammation and fibrosis changes in mice, suggested MCTR1 may serve as a novel therapeutic strategy for fibrosis-related diseases.
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Affiliation(s)
- Jingyi Pan
- Department of Anaesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Xinyu Li
- Department of Anaesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Xinyang Wang
- Department of Anaesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Lili Yang
- Department of Anaesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Houlin Chen
- Department of Anaesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Nana Su
- Department of Anaesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Chenghua Wu
- Department of Anaesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Yu Hao
- Department of Anaesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Shengwei Jin
- Department of Anaesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Hui Li
- Department of Anaesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
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Chen Y, Li W, Nong X, Liang C, Li J, Lu W, Wang B, Yuan Z, Yang S. Role of Artesunate on cardiovascular complications in rats with type 1 diabetes mellitus. BMC Endocr Disord 2021; 21:19. [PMID: 33499847 PMCID: PMC7836182 DOI: 10.1186/s12902-021-00682-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 01/17/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND The present study aimed to evaluate the effect of artesunate (ART) on the reduction of cardiovascular complications in a type 1 diabetes model and to investigate the associated mechanism based on the receptor for advanced glycation end-product (RAGE)/NF-κB signaling pathway. METHODS A total of 40 male Sprague-Dawley rats were randomly divided into five groups: The healthy, diabetic, 50 mg/kg ART (ig) treatment diabetic, 100 mg/kg ART (ig) treatment diabetic, and 6 U/kg insulin (iH) treatment diabetic groups. The treatment lasted 4 weeks after the diabetic model was established via intraperitoneal injection of streptozotocin. Blood samples were collected, and cardiovascular tissues were harvested and processed to measure various parameters after the animals were sacrificed. The myocardium and aortic arch tissues were evaluated using hematoxylin-eosin and Masson staining. Expression levels of RAGE, NF-κB, matrix metalloproteinase MMP9, MMP1 and CD68 in the myocardium and aortic arch tissues were detected using immunohistochemistry, and mRNA expression was determined using reverse transcription-quantitative PCR. RESULTS The results of the present study demonstrated that ART treatment may restrain diabetes-induced cardiovascular complications by maintaining heart and body weight while reducing blood glucose, as well as regulating blood lipid indicators to normal level (P < 0.05). The expression levels of NF-κB, CD68, MMP1, MMP9 and RAGE were decreased in the ART-treated diabetic rats (P < 0.05). CONCLUSIONS ART treatment may have a protective role against diabetes-associated cardiovascular complications in diabetic rats by inhibiting the expression of proteins in the RAGE/NF-κB signaling pathway and downstream inflammatory factors. High concentrations of ART had a hypoglycemic effect, while a low concentration of ART prevented cardiovascular complications.
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Affiliation(s)
- Yi Chen
- Department of Oral & Maxillofacial Surgery, College of Stomatology, Guangxi Medical University, No.10 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Wei Li
- Department of Oral & Maxillofacial Surgery, College of Stomatology, Guangxi Medical University, No.10 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Xiaolin Nong
- Department of Oral & Maxillofacial Surgery, College of Stomatology, Guangxi Medical University, No.10 Shuangyong Road, Nanning, 530021, Guangxi, China.
- Guangxi Key Laboratory of Oral and Maxillofacial Rehabilitation and Reconstruction, Nanning, 530021, Guangxi, China.
- Guangxi Clinical Research Center for Craniofacial Deformity, Nanning, 530021, Guangxi, China.
- Guangxi Key Laboratory of Oral and Maxillofacial Surgery Disease Treatment, Nanning, 530021, Guangxi, China.
| | - Chen Liang
- Department of Oral & Maxillofacial Surgery, College of Stomatology, Guangxi Medical University, No.10 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Jiaquan Li
- Medical Science Research Center, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Wei Lu
- Department of Oral & Maxillofacial Surgery, College of Stomatology, Guangxi Medical University, No.10 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Bingge Wang
- Department of Oral & Maxillofacial Surgery, College of Stomatology, Guangxi Medical University, No.10 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Zhong Yuan
- Department of Oral & Maxillofacial Surgery, College of Stomatology, Guangxi Medical University, No.10 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Shiying Yang
- School of Information and Management, Guangxi Medical University, Nanning, 530021, Guangxi, China
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De Marco C, Claggett BL, de Denus S, Zile MR, Huynh T, Desai AS, Sirois MG, Solomon SD, Pitt B, Rouleau JL, Pfeffer MA, O'Meara E. Impact of diabetes on serum biomarkers in heart failure with preserved ejection fraction: insights from the TOPCAT trial. ESC Heart Fail 2021; 8:1130-1138. [PMID: 33438360 PMCID: PMC8006665 DOI: 10.1002/ehf2.13153] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 10/20/2020] [Accepted: 11/23/2020] [Indexed: 01/09/2023] Open
Abstract
Aims Diabetes mellitus (DM) is common in heart failure with preserved ejection fraction (HFpEF). Patients with DM and heart failure with reduced ejection fraction have higher levels of cardiac, profibrotic, and proinflammatory biomarkers relative to non‐diabetics. Limited data are available regarding the biomarker profiles of HFpEF patients with diabetes (DM) vs. no diabetes (non‐DM) and the impact of spironolactone on these biomarkers. This study aims to address such gaps in the literature. Methods and results Biomarkers were measured at randomization and at 12 months in 248 patients enrolled in Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist's North American cohort. At baseline, DM patients had significantly lower estimated glomerular filtration rate and higher high‐sensitivity C‐reactive protein, pro‐collagen type III amino‐terminal peptide, tissue inhibitor of metalloproteinase 1 (TIMP‐1), and galectin‐3 levels than those without diabetes. There was a significantly larger 12 month increase in levels of high‐sensitivity troponin T (hs‐TnT), a marker of myocyte death, in DM patients. Elevated pro‐collagen type III amino‐terminal peptide and galectin‐3 levels were associated with an increased risk of the primary outcome (cardiovascular mortality, aborted cardiac arrest, or heart failure hospitalization) in DM patients, but not in those without diabetes. A statistically significant interaction between spironolactone and diabetes status was observed for hs‐TnT and for TIMP‐1, with greater biomarker reductions among those with diabetes treated with spironolactone. Conclusions The presence of diabetes is associated with higher levels of cardiac, profibrotic, and proinflammatory biomarkers in HFpEF. Spironolactone appears to alter the determinants of extracellular matrix remodelling in an anti‐fibrotic fashion in patients with diabetes, reflected by changes in hs‐TnT and TIMP‐1 levels over time.
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Affiliation(s)
- Corrado De Marco
- Division of CardiologyMontreal Heart Institute and Université de Montréal5000 rue BélangerMontrealQCH1T 1C8Canada
| | | | - Simon de Denus
- Division of CardiologyMontreal Heart Institute and Université de Montréal5000 rue BélangerMontrealQCH1T 1C8Canada
| | - Michael R. Zile
- Division of CardiologyMedical University of South CarolinaCharlestonSCUSA
| | - Thao Huynh
- McGill University Health Centre and McGill UniversityMontrealQCCanada
| | - Akshay S. Desai
- Cardiovascular DivisionBrigham and Women's HospitalBostonMAUSA
| | - Martin G. Sirois
- Division of CardiologyMontreal Heart Institute and Université de Montréal5000 rue BélangerMontrealQCH1T 1C8Canada
| | | | - Bertram Pitt
- University of Michigan School of MedicineAnn ArborMIUSA
| | - Jean L. Rouleau
- Division of CardiologyMontreal Heart Institute and Université de Montréal5000 rue BélangerMontrealQCH1T 1C8Canada
| | - Marc A. Pfeffer
- Cardiovascular DivisionBrigham and Women's HospitalBostonMAUSA
| | - Eileen O'Meara
- Division of CardiologyMontreal Heart Institute and Université de Montréal5000 rue BélangerMontrealQCH1T 1C8Canada
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Cunningham JW, Claggett BL, O'Meara E, Prescott MF, Pfeffer MA, Shah SJ, Redfield MM, Zannad F, Chiang LM, Rizkala AR, Shi VC, Lefkowitz MP, Rouleau J, McMurray JJV, Solomon SD, Zile MR. Effect of Sacubitril/Valsartan on Biomarkers of Extracellular Matrix Regulation in Patients With HFpEF. J Am Coll Cardiol 2020; 76:503-514. [PMID: 32731928 DOI: 10.1016/j.jacc.2020.05.072] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 05/28/2020] [Accepted: 05/28/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND Myocardial fibrosis may contribute to the pathophysiology of heart failure with preserved ejection fraction. Given the biochemical targets of sacubitril/valsartan, this study hypothesized that circulating biomarkers reflecting the mechanisms that determine extracellular matrix homeostasis are altered by sacubitril/valsartan compared with valsartan alone. OBJECTIVES This study investigated the effects of sacubitril/valsartan on biomarkers of extracellular matrix homeostasis and the association between biomarkers and the primary endpoint (total heart failure hospitalizations and cardiovascular death). METHODS N-terminal propeptide of collagen I and III, tissue inhibitor of matrix metalloproteinase 1, carboxyl-terminal telopeptide of collagen type I, and soluble ST2 were measured at baseline (n = 1,135) and 16 (n = 1,113) and 48 weeks (n = 1,016) after randomization. The effects of sacubitril/valsartan on these biomarkers were compared with those of valsartan alone. Baseline biomarker values and changes from baseline to 16 weeks were related to primary endpoint. RESULTS At baseline, all 5 biomarkers were higher than published referent control values. Sixteen weeks after randomization, sacubitril/valsartan decreased tissue inhibitor of matrix metalloproteinase 1 by 8% (95% confidence interval [CI]: 6% to 10%; p < 0.001), soluble ST2 by 4% (95% CI: 1% to 7%; p = 0.002), and N-terminal propeptide of collagen III by 3% (95% CI: 0% to 6%; p = 0.04) and increased carboxyl-terminal telopeptide of collagen type I by 4% (95% CI: 1% to 8%; p = 0.02) compared with valsartan alone, consistently in men and women and patients with left ventricular ejection fraction above or below the median of 57%. Higher levels of tissue inhibitor of matrix metalloproteinase 1 and soluble ST2 at baseline and increases in these markers at 16 weeks were associated with higher primary endpoint event rates. CONCLUSIONS Biomarkers reflecting extracellular matrix homeostasis are elevated in heart failure with preserved ejection fraction, favorably altered by sacubitril/valsartan, and have important prognostic value. (Prospective Comparison of ARNI With ARB Global Outcomes in HF With Preserved Ejection Fraction [PARAGON-HF]; NCT01920711).
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Affiliation(s)
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts
| | - Eileen O'Meara
- Montreal Heart Institute, Université de Montréal, Montreal, Quebec, Canada
| | | | - Marc A Pfeffer
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts
| | - Sanjiv J Shah
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | - Faiez Zannad
- Centre d'Investigations Cliniques-Plurithématique 1433, and Institut National de la Santé et de la Recherche Médicale U1116, Centre Hospitalier Regional Universitaire, French Clinical Research Infrastructure Network, Investigation Network Initiative Cardiovascular and Renal Clinical Trialists, Nancy, France
| | | | | | | | | | - Jean Rouleau
- Montreal Heart Institute, Université de Montréal, Montreal, Quebec, Canada
| | - John J V McMurray
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts.
| | - Michael R Zile
- Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, South Carolina; Division of Cardiology, Medical University of South Carolina, Charleston, South Carolina.
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Ge J, Li R, Yuan P, Che B, Bu X, Shao H, Xu T, Ju Z, Zhang J, Zhang Y, Zhong C. Serum tissue inhibitor of metalloproteinase-1 and risk of cognitive impairment after acute ischaemic stroke. J Cell Mol Med 2020; 24:7470-7478. [PMID: 32431079 PMCID: PMC7339163 DOI: 10.1111/jcmm.15369] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 03/14/2020] [Accepted: 04/22/2020] [Indexed: 12/27/2022] Open
Abstract
The expression of tissue inhibitor metalloproteinase‐1 (TIMP‐1) significantly increased after acute cerebral ischaemia and involved in neurodegeneration. The purpose was to prospectively investigate the relationship between serum TIMP‐1 with post‐stroke cognitive impairment. Our participants were from an ancillary study of China Antihypertensive Trial in Acute Ischemic Stroke. 598 ischaemic stroke patients from seven participating hospitals were included. Cognitive impairment was evaluated using Mini‐Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) at 3 months. 316 (52.84%) or 384 (64.21%) participants had cognitive impairment according to MMSE or MoCA, respectively. Compared with the first quartile of TIMP‐1, the multivariate‐adjusted odds ratios (95% confidence intervals) for the highest quartile were 1.80 (1.09‐2.97) for cognitive impairment defined by MMSE and 2.55 (1.49‐4.35) by MoCA. Multiple‐adjusted spline regression models showed linear associations between TIMP‐1 concentrations and cognitive impairment (P value for linearity < 0.01). The addition of TIMP‐1 to models including conventional factors improved reclassification for cognitive impairment, as shown by net reclassification index or integrated discrimination improvement (P < 0.05). Participants with both higher TIMP‐1 and matrix metalloproteinase‐9 levels simultaneously had highest risk of cognitive impairment. Higher serum TIMP‐1 levels were associated with increased risk of cognitive impairment after acute ischaemic stroke, independently of established risk factors.
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Affiliation(s)
- Jinzhuo Ge
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Ruyi Li
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Pengcheng Yuan
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Bizhong Che
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Xiaoqing Bu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.,Department of Epidemiology, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Hancheng Shao
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Tan Xu
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Zhong Ju
- Department of Neurology, Kerqin District First People's Hospital of Tongliao City, Inner Mongolia, China
| | - Jintao Zhang
- Department of Neurology, The 88th Hospital of PLA, Shandong, China
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
| | - Chongke Zhong
- Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China
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Variations in Circulating Active MMP-9 Levels During Renal Replacement Therapy. Biomolecules 2020; 10:biom10040505. [PMID: 32225016 PMCID: PMC7226477 DOI: 10.3390/biom10040505] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/16/2020] [Accepted: 03/23/2020] [Indexed: 12/15/2022] Open
Abstract
Renal replacement therapy (RRT) is complicated by a chronic state of inflammation and a high mortality risk. However, different RRT modalities can have a selective impact on markers of inflammation and oxidative stress. We evaluated the levels of active matrix metalloproteinase (MMP)-9 in patients undergoing two types of dialysis (high-flux dialysis (HFD) and on-line hemodiafiltration (OL-HDF)) and in kidney transplantation (KT) recipients. Active MMP-9 was measured by zymography and ELISA before (pre-) and after (post-) one dialysis session, and at baseline and follow-up (7 and 14 days, and 1, 3, 6, and 12 months) after KT. Active MMP-9 decreased post-dialysis only in HFD patients, while the levels in OL-HDF patients were already lower before dialysis. Active MMP-9 increased at 7 and 14 days post-KT and was restored to baseline levels three months post-KT, coinciding with an improvement in renal function and plasma creatinine. Active MMP-9 correlated with pulse pressure as an indicator of arterial stiffness both in dialysis patients and KT recipients. In conclusion, active MMP-9 is better controlled in OL-HDF than in HFD and is restored to baseline levels along with stabilization of renal parameters after KT. Active MMP-9 might act as a biomarker of arterial stiffness in RRT.
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Jordakieva G, Budge-Wolfram RM, Budinsky AC, Nikfardjam M, Delle-Karth G, Girard A, Godnic-Cvar J, Crevenna R, Heinz G. Plasma MMP-9 and TIMP-1 levels on ICU admission are associated with 30-day survival. Wien Klin Wochenschr 2020; 133:86-95. [PMID: 31932967 PMCID: PMC7875947 DOI: 10.1007/s00508-019-01592-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 12/03/2019] [Indexed: 01/06/2023]
Abstract
Background Matrix metalloproteinases (MMPs) are involved in systemic inflammatory responses and organ failure. The aim of this study was to evaluate early circulating plasma levels of MMP‑2, MMP‑9 and their inhibitors TIMP‑1 and TIMP‑2 and their prognostic significance in critically ill patients on admission to the intensive care unit (ICU). Methods In a single center prospective study 120 consecutive patients (72.5% male, mean age 66.8 ± 13.3 years, mean simplified acute physiology score [SAPS II] score 52.9 ± 21.9) were enrolled on transfer to the ICU of a cardiology department. The most common underlying conditions were cardiac diseases (n = 42.5%), respiratory failure (n = 10.8%) and sepsis (n = 6.7%). Blood samples were taken within 12 h of ICU admission. The MMP‑2, MMP‑9, TIMP‑1 and TIMP‑2 levels in plasma were evaluated in terms of 30-day survival, underlying condition and clinical score. Results On ICU admission 30-day survivors had significantly lower plasma MMP‑9 (odds ratio, OR 1.67 per 1 SD; 95% confidence interval, CI 1.10−2.53; p = 0.016) and TIMP‑1 (OR 2.15 per 1 SD; 95% CI 1.27−3.64; p = 0.004) levels than non-survivors; furthermore, MMP‑9 and TIMP‑1 correlated well with SAPS II (both p < 0.01). In patients with underlying cardiac diseases, MMP‑9 (p = 0.002) and TIMP‑1 (p = 0.01) were independent predictors of survival (Cox regression). No significant correlation was found between MMP‑2 and TIMP‑2 levels, MMP/TIMP ratios and 30-day mortality. Conclusion The MMP‑9 and TIMP‑1 levels are significantly elevated in acute critical care settings with increased short-term mortality risk, especially in patients with underlying heart disease. These findings support the value of MMPs and TIMPs as prognostic markers and potential therapeutic targets in conditions leading to systemic inflammation and acute organ failure.
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Affiliation(s)
- Galateja Jordakieva
- Department of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Roswitha M Budge-Wolfram
- Division of Angiology; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
- International Hospital Development & Hospital Management, Abu Dhabi, United Arab Emirates.
| | - Alexandra C Budinsky
- Department of Laboratory Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Mariam Nikfardjam
- Department of Cardiology and Intensive Care, Wilhelminen Hospital Vienna, Vienna, Austria
| | | | - Angelika Girard
- Department of Laboratory Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Jasminka Godnic-Cvar
- Department of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Richard Crevenna
- Department of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
| | - Gottfried Heinz
- Division of Cardiology/Intensive Care Unit 13H3; Department of Internal Medicine II Medical, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
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10
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Lüscher TF. Heart failure with preserved ejection fraction: towards an understanding of an enigma. Eur Heart J 2019; 40:3277-3280. [DOI: 10.1093/eurheartj/ehz756] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- Thomas F Lüscher
- Professor of Cardiology, Imperial College and Director of Research, Education & Development, Royal Brompton and Harefield Hospitals London, UK
- Professor and Chairman, Center for Molecular Cardiology, University of Zurich, Switzerland; and
- Editor-in-Chief, EHJ Editorial Office, Zurich Heart House, Hottingerstreet 14, Zurich, Switzerland
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11
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Zhong C, Wang G, Xu T, Zhu Z, Guo D, Zheng X, Wang A, Bu X, Peng H, Chen J, Xu T, Peng Y, Li Q, Ju Z, Geng D, He J, Zhang Y. Tissue inhibitor metalloproteinase-1 and clinical outcomes after acute ischemic stroke. Neurology 2019; 93:e1675-e1685. [PMID: 31551260 DOI: 10.1212/wnl.0000000000008389] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 05/23/2019] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE To prospectively investigate the relationships between serum tissue inhibitor metalloproteinase-1 (TIMP-1) and clinical outcomes in patients with acute ischemic stroke. METHODS We derived data from the China Antihypertensive Trial in Acute Ischemic Stroke. Baseline serum TIMP-1 concentrations were measured in 3,342 participants. The primary outcome was the combination of death and major disability (modified Rankin Scale score ≥3) at 3 months after ischemic stroke, and secondary outcomes included major disability, death, and vascular events. RESULTS A total of 843 participants (25.2%) experienced major disability or died within 3 months. After adjustment for age, sex, admission NIH Stroke Scale score, and other important covariates, odds ratios or hazard ratios (95% confidence intervals) of 1-SD (0.17 ng/mL) higher log-TIMP-1 were 1.17 (1.06-1.29) for the primary outcome, 1.13 (1.02-1.25) for major disability, 1.49 (1.19-1.87) for death, and 1.34 (1.11-1.62) for the composite outcome of death and vascular events. The addition of serum TIMP-1 to conventional risk factors model significantly improved risk prediction of the primary outcome (net reclassification index 9.0%, p = 0.02; integrated discrimination improvement 0.2%, p = 0.03). Participants with both higher TIMP-1 and matrix metalloproteinase-9 levels simultaneously had the highest risk of all study outcomes. CONCLUSIONS Higher TIMP-1 levels were associated with increased risk of mortality and major disability after acute ischemic stroke. Our findings provided evidence supporting the important prognostic role of extracellular matrix biomarkers after acute ischemic stroke.
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Affiliation(s)
- Chongke Zhong
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Guangli Wang
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Tan Xu
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Zhengbao Zhu
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Daoxia Guo
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Xiaowei Zheng
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Aili Wang
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Xiaoqing Bu
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Hao Peng
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Jing Chen
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Tian Xu
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Yanbo Peng
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Qunwei Li
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Zhong Ju
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Deqin Geng
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China
| | - Jiang He
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China.
| | - Yonghong Zhang
- From the Department of Epidemiology (C.Z., G.W., Tan Xu, Z.Z., D. Guo, X.Z., A.W., X.B., H.P., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City; Department of Neurology (D. Geng), Affiliated Hospital of Xuzhou Medical College, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; and Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, China.
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Blice-Baum AC, Guida MC, Hartley PS, Adams PD, Bodmer R, Cammarato A. As time flies by: Investigating cardiac aging in the short-lived Drosophila model. Biochim Biophys Acta Mol Basis Dis 2019; 1865:1831-1844. [PMID: 30496794 PMCID: PMC6527462 DOI: 10.1016/j.bbadis.2018.11.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 11/05/2018] [Accepted: 11/13/2018] [Indexed: 02/06/2023]
Abstract
Aging is associated with a decline in heart function across the tissue, cellular, and molecular levels. The risk of cardiovascular disease grows significantly over time, and as developed countries continue to see an increase in lifespan, the cost of cardiovascular healthcare for the elderly will undoubtedly rise. The molecular basis for cardiac function deterioration with age is multifaceted and not entirely clear, and there is a limit to what investigations can be performed on human subjects or mammalian models. Drosophila melanogaster has emerged as a useful model organism for studying aging in a short timeframe, benefitting from a suite of molecular and genetic tools and displaying highly conserved traits of cardiac senescence. Here, we discuss recent advances in our understanding of cardiac aging and how the fruit fly has aided in these developments.
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Affiliation(s)
| | - Maria Clara Guida
- Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, La Jolla, CA, USA.
| | - Paul S Hartley
- Bournemouth University, Department of Life and Environmental Science, Talbot Campus, Fern Barrow, Poole, Dorset BH12 5BB, UK.
| | - Peter D Adams
- Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, La Jolla, CA, USA.
| | - Rolf Bodmer
- Development, Aging and Regeneration Program, Sanford-Burnham-Prebys Medical Discovery Institute, La Jolla, CA, USA.
| | - Anthony Cammarato
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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Tizazu AM, Nyunt MSZ, Cexus O, Suku K, Mok E, Xian CH, Chong J, Tan C, How W, Hubert S, Combet E, Fulop T, Ng TP, Larbi A. Metformin Monotherapy Downregulates Diabetes-Associated Inflammatory Status and Impacts on Mortality. Front Physiol 2019; 10:572. [PMID: 31178745 PMCID: PMC6537753 DOI: 10.3389/fphys.2019.00572] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 04/24/2019] [Indexed: 12/16/2022] Open
Abstract
Aging is the main risk factor for developing diabetes and other age-related diseases. One of the most common features of age-related comorbidities is the presence of low-grade chronic inflammation. This is also the case of metabolic syndrome and diabetes. At the subclinical level, a pro-inflammatory phenotype was shown to be associated with Type-2 diabetes mellitus (T2DM). This low to mid-grade inflammation is also present in elderly individuals and has been termed inflammaging. Whether inflammation is a component of aging or exclusively associated with age-related diseases in not entirely known. We used clinical data and biological readouts in a group of individuals stratified by age, diabetes status and comorbidities to investigate this aspect. While aging is the main predisposing factor for several diseases there is a concomitant increased level of pro-inflammatory cytokines. DM patients show an increased level of sTNFRll, sICAM-1, and TIMP-1 when compared to Healthy, Non-DM and Pre-DM individuals. These inflammatory molecules are also associated with insulin resistance and metabolic syndrome in Non-DM and pre-DM individuals. We also show that metformin monotherapy was associated with significantly lower levels of inflammatory molecules, like TNFα, sTNFRI, and sTNFRII, when compared to other monotherapies. Longitudinal follow up indicates a higher proportion of death occurs in individuals taking other monotherapies compared to metformin monotherapy. Together our finding shows that chronic inflammation is present in healthy elderly individuals and exacerbated with diabetes patients. Likewise, metformin could help target age-related chronic inflammation in general, and reduce the predisposition to comorbidities and mortality.
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Affiliation(s)
- Anteneh Mehari Tizazu
- Singapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.,Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ma Shwe Zin Nyunt
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Olivier Cexus
- Singapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Koolarina Suku
- Singapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Esther Mok
- Singapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Chin Hui Xian
- Singapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Joni Chong
- Singapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Crystal Tan
- Singapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Wilson How
- Singapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Sandra Hubert
- Singapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Emilie Combet
- Human Nutrition, School of Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Tamas Fulop
- Research Center on Aging, Graduate Program in Immunology, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, QC, Canada
| | - Tze Pin Ng
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Anis Larbi
- Singapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.,Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Research Center on Aging, Graduate Program in Immunology, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, QC, Canada.,Department of Biology, Faculty of Sciences, Tunis El Manar University, Tunis, Tunisia
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14
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Abstract
Proteases drive the life cycle of all proteins, ensuring the transportation and activation of newly minted, would-be proteins into their functional form while recycling spent or unneeded proteins. Far from their image as engines of protein digestion, proteases play fundamental roles in basic physiology and regulation at multiple levels of systems biology. Proteases are intimately associated with disease and modulation of proteolytic activity is the presumed target for successful therapeutics. "Proteases: Pivot Points in Functional Proteomics" examines the crucial roles of proteolysis across a wide range of physiological processes and diseases. The existing and potential impacts of proteolysis-related activity on drug and biomarker development are presented in detail. All told the decisive roles of proteases in four major categories comprising 23 separate subcategories are addressed. Within this construct, 15 sets of subject-specific, tabulated data are presented that include identification of proteases, protease inhibitors, substrates, and their actions. Said data are derived from and confirmed by over 300 references. Cross comparison of datasets indicates that proteases, their inhibitors/promoters and substrates intersect over a range of physiological processes and diseases, both chronic and pathogenic. Indeed, "Proteases: Pivot Points …" closes by dramatizing this very point through association of (pro)Thrombin and Fibrin(ogen) with: hemostasis, innate immunity, cardiovascular and metabolic disease, cancer, neurodegeneration, and bacterial self-defense.
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Affiliation(s)
- Ingrid M Verhamme
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, TN, USA.
| | - Sarah E Leonard
- Chemical and Biomolecular Engineering, University of Illinois Champaign-Urbana School of Chemical Sciences, Champaign, IL, USA
| | - Ray C Perkins
- New Liberty Proteomics Corporation, New Liberty, KY, USA.
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15
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Tibaut M, Caprnda M, Kubatka P, Sinkovič A, Valentova V, Filipova S, Gazdikova K, Gaspar L, Mozos I, Egom EE, Rodrigo L, Kruzliak P, Petrovic D. Markers of Atherosclerosis: Part 2 - Genetic and Imaging Markers. Heart Lung Circ 2018; 28:678-689. [PMID: 30318392 DOI: 10.1016/j.hlc.2018.09.006] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 05/30/2018] [Accepted: 06/25/2018] [Indexed: 12/18/2022]
Abstract
This is Part 2 of a two-part review summarising current knowledge on biomarkers of atherosclerosis. Part 1 addressed serological biomarkers. Here, in part 2 we address genetic and imaging markers, and other developments in predicting risk. Further improvements in risk stratification are expected with the addition of genetic risk scores. In addition to single nucleotide polymorphisms (SNPs), recent advances in epigenetics offer DNA methylation profiles, histone chemical modifications, and micro-RNAs as other promising indicators of atherosclerosis. Imaging biomarkers are better studied and already have a higher degree of clinical applicability in cardiovascular (CV) event prediction and detection of preclinical atherosclerosis. With new methodologies, such as proteomics and metabolomics, discoveries of new clinically applicable biomarkers are expected.
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Affiliation(s)
- Miha Tibaut
- General Hospital Murska Sobota, Murska Sobota, Slovenia
| | - Martin Caprnda
- 1st Department of Internal Medicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Peter Kubatka
- Department of Medical Biology, Jessenius Faculty of Medicine, Comenius University in Bratislava, Martin, Slovakia; Department of Experimental Carcinogenesis, Division of Oncology, Biomedical Center Martin, Jessenius Faculty of Medicine, Comenius University in Bratislava, Martin, Slovakia
| | - Andreja Sinkovič
- Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia
| | | | - Slavomira Filipova
- Department of Cardiology, National Institute of Cardiovascular Diseases and Slovak Medical University, Bratislava, Slovakia
| | - Katarina Gazdikova
- Department of Nutrition, Faculty of Nursing and Professional Health Studies, Slovak Medical University, Bratislava, Slovakia; Department of General Medicine, Faculty of Medicine, Slovak Medical University, Bratislava, Slovakia.
| | - Ludovit Gaspar
- 1st Department of Internal Medicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
| | - Ioana Mozos
- Department of Functional Sciences, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania; Center for Translational Research and Systems Medicine, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
| | - Emmanuel E Egom
- Jewish General Hospital and Lady Davis Institute for Medical Research, Montreal, Canada; Department of Cardiology, The Adelaide and Meath Hospital Dublin, Incorporating the National Children Hospital, Dublin, Ireland
| | - Luis Rodrigo
- Faculty of Medicine, University of Oviedo, Central University Hospital of Asturias (HUCA), Oviedo, Spain
| | - Peter Kruzliak
- 2nd Department of Surgery, Center for Vascular Disease, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czech Republic; Department of Internal Medicine, Brothers of Mercy Hospital, Brno, Czech Republic.
| | - Daniel Petrovic
- Institute of Histology and Embryology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
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16
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Liem DA, Murali S, Sigdel D, Shi Y, Wang X, Shen J, Choi H, Caufield JH, Wang W, Ping P, Han J. Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease. Am J Physiol Heart Circ Physiol 2018; 315:H910-H924. [PMID: 29775406 DOI: 10.1152/ajpheart.00175.2018] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Extracellular matrix (ECM) proteins have been shown to play important roles regulating multiple biological processes in an array of organ systems, including the cardiovascular system. Using a novel bioinformatics text-mining tool, we studied six categories of cardiovascular disease (CVD), namely, ischemic heart disease, cardiomyopathies, cerebrovascular accident, congenital heart disease, arrhythmias, and valve disease, anticipating novel ECM protein-disease and protein-protein relationships hidden within vast quantities of textual data. We conducted a phrase-mining analysis, delineating the relationships of 709 ECM proteins with the 6 groups of CVDs reported in 1,099,254 abstracts. The technology pipeline known as Context-Aware Semantic Online Analytical Processing was applied to semantically rank the association of proteins to each CVD and all six CVDs, performing analyses to quantify each protein-disease relationship. We performed principal component analysis and hierarchical clustering of the data, where each protein was visualized as a six-dimensional vector. We found that ECM proteins display variable degrees of association with the six CVDs; certain CVDs share groups of associated proteins, whereas others have divergent protein associations. We identified 82 ECM proteins sharing associations with all 6 CVDs. Our bioinformatics analysis ascribed distinct ECM pathways (via Reactome) from this subset of proteins, namely, insulin-like growth factor regulation and interleukin-4 and interleukin-13 signaling, suggesting their contribution to the pathogenesis of all six CVDs. Finally, we performed hierarchical clustering analysis and identified protein clusters predominantly associated with a targeted CVD; analyses of these proteins revealed unexpected insights underlying the key ECM-related molecular pathogenesis of each CVD, including virus assembly and release in arrhythmias. NEW & NOTEWORTHY The present study is the first application of a text-mining algorithm to characterize the relationships of 709 extracellular matrix-related proteins with 6 categories of cardiovascular disease described in 1,099,254 abstracts. Our analysis informed unexpected extracellular matrix functions, pathways, and molecular relationships implicated in the six cardiovascular diseases.
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Affiliation(s)
- David A Liem
- NIH BD2K Program Centers of Excellence for Big Data Computing-Heart BD2K Center, Departments of Physiology, Medicine/Cardiology, and Bioinformatics, David Geffen School of Medicine, University of California , Los Angeles, California
| | - Sanjana Murali
- NIH BD2K Program Centers of Excellence for Big Data Computing-Heart BD2K Center, Departments of Physiology, Medicine/Cardiology, and Bioinformatics, David Geffen School of Medicine, University of California , Los Angeles, California
| | - Dibakar Sigdel
- NIH BD2K Program Centers of Excellence for Big Data Computing-Heart BD2K Center, Departments of Physiology, Medicine/Cardiology, and Bioinformatics, David Geffen School of Medicine, University of California , Los Angeles, California
| | - Yu Shi
- NIH BD2K Program Centers of Excellence for Big Data Computing-KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign , Champaign, Illinois
| | - Xuan Wang
- NIH BD2K Program Centers of Excellence for Big Data Computing-KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign , Champaign, Illinois
| | - Jiaming Shen
- NIH BD2K Program Centers of Excellence for Big Data Computing-KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign , Champaign, Illinois
| | - Howard Choi
- NIH BD2K Program Centers of Excellence for Big Data Computing-Heart BD2K Center, Departments of Physiology, Medicine/Cardiology, and Bioinformatics, David Geffen School of Medicine, University of California , Los Angeles, California
| | - John H Caufield
- NIH BD2K Program Centers of Excellence for Big Data Computing-Heart BD2K Center, Departments of Physiology, Medicine/Cardiology, and Bioinformatics, David Geffen School of Medicine, University of California , Los Angeles, California
| | - Wei Wang
- NIH BD2K Program Centers of Excellence for Big Data Computing-Heart BD2K Center, Heart Big Data to Knowledge Center, Department of Computer Science, Scalable Analytics Institute, Henry Samueli School of Engineering and Applied Science, University of California , Los Angeles, California
| | - Peipei Ping
- NIH BD2K Program Centers of Excellence for Big Data Computing-Heart BD2K Center, Departments of Physiology, Medicine/Cardiology, and Bioinformatics, David Geffen School of Medicine, University of California , Los Angeles, California.,NIH BD2K Program Centers of Excellence for Big Data Computing-Heart BD2K Center, Heart Big Data to Knowledge Center, Department of Computer Science, Scalable Analytics Institute, Henry Samueli School of Engineering and Applied Science, University of California , Los Angeles, California
| | - JiaWei Han
- NIH BD2K Program Centers of Excellence for Big Data Computing-KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign , Champaign, Illinois
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Lüscher TF. Cutting edge research on transcatheter aortic valve implantation: moving indications, complications, and current outcomes. Eur Heart J 2018; 39:633-636. [PMID: 29474608 DOI: 10.1093/eurheartj/ehy075] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Thomas F Lüscher
- Editorial Office, Zurich Heart House, 8032 Zurich, Center for Molecular Cardiology, Schlieren Campus, University of Zurich, Switzerland and Royal Brompton and Harefield Hospital Trust and Imperial College, London, SW3 6NP, UK
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18
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Cardiovascular Disease: An Introduction. BIOMATHEMATICAL AND BIOMECHANICAL MODELING OF THE CIRCULATORY AND VENTILATORY SYSTEMS 2018. [PMCID: PMC7123129 DOI: 10.1007/978-3-319-89315-0_1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Cardiovascular disease (CVD) is a collective term designating all types of affliction affecting the blood circulatory system, including the heart and vasculature, which, respectively, displaces and conveys the blood.
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19
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Lüscher TF. Precision medicine in the management of cardiomyopathies. Eur Heart J 2017. [DOI: 10.1093/eurheartj/ehx715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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20
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Giannitsis E, Katus HA. TIMP-1: is surrogate testing for extracellular matrix remodelling ready for clinical translation or only an Icelandic phenomenon? Eur Heart J 2017; 38:3431-3433. [PMID: 29194482 DOI: 10.1093/eurheartj/ehx632] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
| | - Hugo A Katus
- Medizinische Klinik III, University of Heidelberg, Germany
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21
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Affiliation(s)
- Thomas F Lüscher
- Consultant and Director of Research, Education & Development, Royal Brompton and Harefield Hospital Trust and Imperial College London, UK.,Chairman, Center for Molecular Cardiology, University of Zurich, Switzerland.,Editor-in-Chief, EHJ Editorial Office, Zurich Heart House, Hottingerstreet 14, 8032 Zurich, Switzerland
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