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Månsson T, Rosso A, Ellström K, Elmståhl S. Elevated pulse pressure preceded incident chronic kidney disease in the general older population in Sweden. Sci Rep 2024; 14:15414. [PMID: 38965357 PMCID: PMC11224232 DOI: 10.1038/s41598-024-66458-3] [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: 12/19/2023] [Accepted: 07/01/2024] [Indexed: 07/06/2024] Open
Abstract
Arterial stiffness (AS) and chronic kidney disease (CKD) are common in the older population. AS results in increased pulsatile pressure, elevated pulse pressure (PP), and is linked to hypertension. PP is a surrogate for AS. The kidney has low vascular resistance mechanisms, presumably making it vulnerable to the increased pulsatile pressure and hypertension associated with AS. The aims of this study were to investigate the impact of PP elevation on incident CKD (glomerular filtration rate < 60 ml/min/1.73 m2) and all-cause mortality. The data was collected from the general population cohort study "Good Aging in Skåne". Cox proportional hazard regression models adjusted for age, sex, diabetes, and smoking habits were used to investigate the impact of three levels of PP elevation on incident CKD (n = 2693) and all-cause mortality (n = 5253). For PP < 60 mmHg, the median survival time was 18.7 years (event incident CKD) and first quartile survival time (event all-cause mortality) 15.4 years. Elevated PP ≥ 80 mmHg was associated with incident CKD (hazard ratio 1.59, CI 1.28-1.97), but not all-cause mortality. Our results suggest that a finding of PP ≥ 80 mmHg in older age should raise concern of kidney function.
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Affiliation(s)
- Tomas Månsson
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University and Skåne University Hospital, Jan Waldenströms Gata 35, pl 13, 205 02, Malmö, Sweden.
| | - Aldana Rosso
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University and Skåne University Hospital, Jan Waldenströms Gata 35, pl 13, 205 02, Malmö, Sweden
| | - Katarina Ellström
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University and Skåne University Hospital, Jan Waldenströms Gata 35, pl 13, 205 02, Malmö, Sweden
| | - Sölve Elmståhl
- Division of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University and Skåne University Hospital, Jan Waldenströms Gata 35, pl 13, 205 02, Malmö, Sweden
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2
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Siew K, Nestler KA, Nelson C, D'Ambrosio V, Zhong C, Li Z, Grillo A, Wan ER, Patel V, Overbey E, Kim J, Yun S, Vaughan MB, Cheshire C, Cubitt L, Broni-Tabi J, Al-Jaber MY, Boyko V, Meydan C, Barker P, Arif S, Afsari F, Allen N, Al-Maadheed M, Altinok S, Bah N, Border S, Brown AL, Burling K, Cheng-Campbell M, Colón LM, Degoricija L, Figg N, Finch R, Foox J, Faridi P, French A, Gebre S, Gordon P, Houerbi N, Valipour Kahrood H, Kiffer FC, Klosinska AS, Kubik A, Lee HC, Li Y, Lucarelli N, Marullo AL, Matei I, McCann CM, Mimar S, Naglah A, Nicod J, O'Shaughnessy KM, Oliveira LCD, Oswalt L, Patras LI, Lai Polo SH, Rodríguez-Lopez M, Roufosse C, Sadeghi-Alavijeh O, Sanchez-Hodge R, Paul AS, Schittenhelm RB, Schweickart A, Scott RT, Choy Lim Kam Sian TC, da Silveira WA, Slawinski H, Snell D, Sosa J, Saravia-Butler AM, Tabetah M, Tanuwidjaya E, Walker-Samuel S, Yang X, Yasmin, Zhang H, Godovac-Zimmermann J, Sarder P, Sanders LM, Costes SV, Campbell RAA, Karouia F, Mohamed-Alis V, Rodriques S, Lynham S, Steele JR, Baranzini S, Fazelinia H, Dai Z, Uruno A, Shiba D, Yamamoto M, A C Almeida E, Blaber E, Schisler JC, Eisch AJ, Muratani M, Zwart SR, Smith SM, Galazka JM, Mason CE, Beheshti A, Walsh SB. Cosmic kidney disease: an integrated pan-omic, physiological and morphological study into spaceflight-induced renal dysfunction. Nat Commun 2024; 15:4923. [PMID: 38862484 PMCID: PMC11167060 DOI: 10.1038/s41467-024-49212-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 05/28/2024] [Indexed: 06/13/2024] Open
Abstract
Missions into Deep Space are planned this decade. Yet the health consequences of exposure to microgravity and galactic cosmic radiation (GCR) over years-long missions on indispensable visceral organs such as the kidney are largely unexplored. We performed biomolecular (epigenomic, transcriptomic, proteomic, epiproteomic, metabolomic, metagenomic), clinical chemistry (electrolytes, endocrinology, biochemistry) and morphometry (histology, 3D imaging, miRNA-ISH, tissue weights) analyses using samples and datasets available from 11 spaceflight-exposed mouse and 5 human, 1 simulated microgravity rat and 4 simulated GCR-exposed mouse missions. We found that spaceflight induces: 1) renal transporter dephosphorylation which may indicate astronauts' increased risk of nephrolithiasis is in part a primary renal phenomenon rather than solely a secondary consequence of bone loss; 2) remodelling of the nephron that results in expansion of distal convoluted tubule size but loss of overall tubule density; 3) renal damage and dysfunction when exposed to a Mars roundtrip dose-equivalent of simulated GCR.
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Affiliation(s)
- Keith Siew
- London Tubular Centre, Department of Renal Medicine, University College London, London, UK.
| | - Kevin A Nestler
- The Institute for Biomedical Sciences (IBS), The George Washington University, Washington, DC, USA
| | - Charlotte Nelson
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Viola D'Ambrosio
- London Tubular Centre, Department of Renal Medicine, University College London, London, UK
- Department of Experimental and Translational Medicine, Università Cattolica del Sacro Cuore di Roma, Rome, Italy
| | - Chutong Zhong
- London Tubular Centre, Department of Renal Medicine, University College London, London, UK
| | - Zhongwang Li
- London Tubular Centre, Department of Renal Medicine, University College London, London, UK
- Centre for Advanced Biomedical Imaging, University College London, London, UK
- Centre for Computational Medicine, University College London, London, UK
| | - Alessandra Grillo
- London Tubular Centre, Department of Renal Medicine, University College London, London, UK
| | - Elizabeth R Wan
- London Tubular Centre, Department of Renal Medicine, University College London, London, UK
| | - Vaksha Patel
- Department of Renal Medicine, University College London, London, UK
| | - Eliah Overbey
- Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA
| | - JangKeun Kim
- Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA
| | - Sanghee Yun
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Michael B Vaughan
- School of Medicine, College of Medicine and Health, University College Cork, Cork, Ireland
- Tissue Engineering and Biomaterials Group, Ghent University, Ghent, Belgium
- Center for Medical Genetics, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
| | - Chris Cheshire
- Bioinformatics and Computational Biology Laboratory, The Francis Crick Institute, London, UK
| | - Laura Cubitt
- Applied Biotechnology Laboratory, The Francis Crick Institute, London, UK
| | - Jessica Broni-Tabi
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK
| | | | - Valery Boyko
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | - Cem Meydan
- Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA
| | - Peter Barker
- MRC MDU Mouse Biochemistry Laboratory, University of Cambridge, Cambridge, UK
| | - Shehbeel Arif
- Center for Data Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Fatemeh Afsari
- Department of Medicine-Nephrology & Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA
| | - Noah Allen
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Mohammed Al-Maadheed
- Anti-Doping Laboratory Qatar, Doha, Qatar
- Centre of Metabolism and Inflammation, University College London, London, UK
| | - Selin Altinok
- School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nourdine Bah
- Applied Biotechnology Laboratory, The Francis Crick Institute, London, UK
| | - Samuel Border
- Department of Medicine-Nephrology & Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA
| | - Amanda L Brown
- Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Keith Burling
- MRC MDU Mouse Biochemistry Laboratory, University of Cambridge, Cambridge, UK
| | - Margareth Cheng-Campbell
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
- Blue Marble Space Institute of Science, Seattle, WA, USA
| | - Lorianna M Colón
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA
| | - Lovorka Degoricija
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | - Nichola Figg
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Rebecca Finch
- School of Health, Science and Wellbeing, Staffordshire University, Stoke-on-Trent, UK
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA
| | - Pouya Faridi
- Monash Proteomics and Metabolomics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Alison French
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | - Samrawit Gebre
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | - Peter Gordon
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK
| | - Nadia Houerbi
- Physiology, Biophysics & Systems Biology, Weill Cornell Medical College, New York, NY, USA
| | - Hossein Valipour Kahrood
- Monash Proteomics and Metabolomics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
- Monash Bioinformatics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Frederico C Kiffer
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Aleksandra S Klosinska
- Division of Experimental Medicine & Immunotherapeutics (EMIT), Department of Medicine, University of Cambridge, Cambridge, UK
| | - Angela Kubik
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - Han-Chung Lee
- Monash Proteomics and Metabolomics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Yinghui Li
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - Nicholas Lucarelli
- Department of Medicine-Nephrology & Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA
| | - Anthony L Marullo
- School of Medicine, College of Medicine and Health, University College Cork, Cork, Ireland
| | - Irina Matei
- Cornell Center for Immunology, Cornell University, Ithaca, NY, USA
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Colleen M McCann
- Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sayat Mimar
- Department of Medicine-Nephrology & Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA
| | - Ahmed Naglah
- Department of Medicine-Nephrology & Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA
| | - Jérôme Nicod
- Advanced Sequencing Facility, The Francis Crick Institute, London, UK
| | - Kevin M O'Shaughnessy
- Division of Experimental Medicine & Immunotherapeutics (EMIT), Department of Medicine, University of Cambridge, Cambridge, UK
| | | | - Leah Oswalt
- Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - San-Huei Lai Polo
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | | | - Candice Roufosse
- Department of Immunology and Inflammation, Imperial College London, London, UK
| | | | | | - Anindya S Paul
- Department of Medicine-Nephrology & Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA
| | - Ralf Bernd Schittenhelm
- Monash Proteomics and Metabolomics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Annalise Schweickart
- Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA
- Englander Institute for Precision Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Ryan T Scott
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | - Terry Chin Choy Lim Kam Sian
- Monash Proteomics and Metabolomics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Willian A da Silveira
- School of Health, Science and Wellbeing, Staffordshire University, Stoke-on-Trent, UK
- International Space University, 67400, Illkirch-Graffenstaden, France
| | - Hubert Slawinski
- Advanced Sequencing Facility, The Francis Crick Institute, London, UK
| | - Daniel Snell
- Advanced Sequencing Facility, The Francis Crick Institute, London, UK
| | - Julio Sosa
- University Health Network, Toronto, ON, Canada
| | | | - Marshall Tabetah
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA
| | - Erwin Tanuwidjaya
- Monash Proteomics and Metabolomics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Simon Walker-Samuel
- Centre for Advanced Biomedical Imaging, University College London, London, UK
- Centre for Computational Medicine, University College London, London, UK
| | | | - Yasmin
- Division of Experimental Medicine & Immunotherapeutics (EMIT), Department of Medicine, University of Cambridge, Cambridge, UK
| | - Haijian Zhang
- Monash Proteomics and Metabolomics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | | | - Pinaki Sarder
- Department of Medicine-Quantitative Health Section, University of Florida, Gainesville, FL, USA
- Departments of Biomedical Engineering and Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA
| | - Lauren M Sanders
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
- Blue Marble Space Institute of Science, Seattle, WA, USA
| | - Sylvain V Costes
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | - Robert A A Campbell
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, London, UK
| | - Fathi Karouia
- Blue Marble Space Institute of Science, Seattle, WA, USA
- Space Research Within Reach, San Francisco, CA, USA
- Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Vidya Mohamed-Alis
- Anti-Doping Laboratory Qatar, Doha, Qatar
- Centre of Metabolism and Inflammation, University College London, London, UK
| | - Samuel Rodriques
- Applied Biotechnology Laboratory, The Francis Crick Institute, London, UK
| | | | - Joel Ricky Steele
- Monash Proteomics and Metabolomics Platform, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Sergio Baranzini
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Hossein Fazelinia
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia Research Institute, Philadelphia, PA, USA
| | - Zhongquan Dai
- State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, China
| | - Akira Uruno
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Dai Shiba
- Mouse Epigenetics Project, ISS/Kibo experiment, Japan Aerospace Exploration Agency (JAXA), Tsukuba, Ibaraki, Japan
- JEM Utilization Center, Human Spaceflight Technology Directorate, Japan Aerospace Exploration Agency (JAXA), Tsukuba, Ibaraki, Japan
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
- Department of Medical Biochemistry, Graduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan
| | - Eduardo A C Almeida
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | - Elizabeth Blaber
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA
- Center for Biotechnology & Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA
- Stanley Center for Psychiatric Research, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Jonathan C Schisler
- Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Amelia J Eisch
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Masafumi Muratani
- Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Sara R Zwart
- Department of Preventative Medicine and Community Health, University of Texas Medical Branch, Galveston, TX, USA
| | | | - Jonathan M Galazka
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medical College, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
- Broad Institute, Cambridge, MA, USA
- Space Biosciences Division, Universities Space Research Association (USRA), Washington, DC, USA
| | - Stephen B Walsh
- London Tubular Centre, Department of Renal Medicine, University College London, London, UK.
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3
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Tade G, Hsu HC, Robinson C, Dlongolo N, Teckie G, Solomon A, Dessein PH. The relative potential contribution of volume load and vascular mechanisms to hypertension in non-dialysis and dialysis chronic kidney disease patients. Front Cardiovasc Med 2024; 11:1377887. [PMID: 38689863 PMCID: PMC11060794 DOI: 10.3389/fcvm.2024.1377887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 03/28/2024] [Indexed: 05/02/2024] Open
Abstract
Background Hypertension is highly prevalent and particularly difficult to treat adequately in patients with chronic kidney disease (CKD). The relative contribution of volume overload and vascular mechanisms to blood pressure measures in CKD and whether these effects differ in non-dialysis compared to dialysis patients is unknown. Methods We determined the potential impact of volume load (stroke volume) and vascular mechanisms (inverse of total arterial compliance (inv TAC) and systemic vascular resistance (SVR)) on mean and brachial and aortic systolic blood pressures in 67 non-dialysis and 48 dialysis chronic kidney disease (CKD) patients. Relationships were determined in confounder adjusted regression models. Results Stroke volume (p value = 0.003) was more strongly associated with mean arterial pressure than SVR (p value = 0.9) (p value for difference = 0.03). When stroke volume and SVR were entered in the same regression model (model R2 = 0.324), they contributed equally to the variation in mean arterial pressure (p value for difference = 0.5). Stroke volume (p value ≤ 0.002) and inv TAC (p value ≤ 0.001) contributed equally to the variation in systolic pressures (p value for difference ≥ 0.9). When stroke volume and inv TAC were entered in the same regression model (model R2 = 0.752 to 0.765), they contributed equally to the variation in systolic blood pressures (p value for difference = 0.7). Stroke volume, TAC and SVR were similar (p value ≥ 0.5) and associated to the same extent with blood pressure measures in non-dialysis and dialysis CKD patients (p value for difference ≥ 0.1). In receiver operator characteristic curve analysis, elevated systolic blood pressure was determined by stroke volume (p value = 0.005) and inv TAC (p value = 0.03) but not SVR (p value = 0.8). The calculated power of the study was 0.999 based on α = 0.05. Conclusions The present investigation suggests that both volume load and vascular mechanisms should be considered in the management of hypertension among patients with CKD. The extent and relative potential impact of volume load and vascular mechanisms on blood pressure measures are as large in non-dialysis compared to dialysis CKD patients.
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Affiliation(s)
- Grace Tade
- Cardiovascular Pathophysiology and Genomics Research Unit, Faculty of Health Sciences, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Hon-Chun Hsu
- Cardiovascular Pathophysiology and Genomics Research Unit, Faculty of Health Sciences, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
- Nephrology Unit, Milpark Hospital, Johannesburg, South Africa
| | - Chanel Robinson
- Cardiovascular Pathophysiology and Genomics Research Unit, Faculty of Health Sciences, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Noluntu Dlongolo
- Rheumatology Unit, Rosebank Hospital, Johannesburg, South Africa
| | - Gloria Teckie
- Division of Nephrology, Department of Medicine, Chris Hani Baragwanath Hospital and Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Ahmed Solomon
- Internal Medicine Department, University of the Witwatersrand, Johannesburg, South Africa
| | - Patrick Hector Dessein
- Cardiovascular Pathophysiology and Genomics Research Unit, Faculty of Health Sciences, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
- Rheumatology Unit, Rosebank Hospital, Johannesburg, South Africa
- Internal Medicine Department, University of the Witwatersrand, Johannesburg, South Africa
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Evangelatos G, Konstantonis G, Tentolouris N, Sfikakis PP, Tektonidou MG. Arterial stiffness tested by pulse wave velocity and augmentation index for cardiovascular risk stratification in antiphospholipid syndrome. Rheumatology (Oxford) 2024; 63:1030-1038. [PMID: 37294733 PMCID: PMC10986810 DOI: 10.1093/rheumatology/kead267] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 05/06/2023] [Accepted: 05/26/2023] [Indexed: 06/11/2023] Open
Abstract
OBJECTIVES Cardiovascular disease is a major cause of morbidity and mortality in Antiphospholipid syndrome (APS). Arterial stiffness (ArS) has emerged as a predictor of future cardiovascular events in the general population. We aimed to assess ArS in patients with thrombotic APS versus diabetes mellitus (DM) and healthy controls (HC) and identify predictors of increased ArS in APS. METHODS ArS was evaluated by carotid-femoral pulse wave velocity (cfPWV) and augmentation index normalized to 75 beats/min (AIx@75) using the SphygmoCor device. Participants also underwent carotid/femoral ultrasound for atherosclerotic plaque detection. We used linear regression to compare ArS measures among groups and assess ArS determinants in the APS group. RESULTS We included 110 patients with APS (70.9% female, mean age 45.4 years), 110 DM patients and 110 HC, all age/sex matched. After adjustment for age, sex, cardiovascular risk factors and plaque presence, APS patients exhibited similar cfPWV [β = -0.142 (95% CI -0.514, 0.230), p = 0.454] but increased AIx@75 [β = 4.525 (95% CI 1.372, 7.677), p = 0.005] compared with HC and lower cfPWV (p < 0.001) but similar AIx@75 (p = 0.193) versus DM patients. In the APS group, cfPWV was independently associated with age [β = 0.056 (95% CI 0.034, 0.078), p < 0.001], mean arterial pressure (MAP) [β = 0.070 (95% CI 0.043, 0.097), p < 0.001], atherosclerotic femoral plaques [β = 0.732 (95% CI 0.053, 1.411), p = 0.035] and anti-β2-glycoprotein I IgM positivity [β = 0.696 (95% CI 0.201, 1.191), p = 0.006]. AIx@75 was associated with age [β = 0.334 (95% CI 0.117, 0.551), p = 0.003], female sex [β = 7.447 (95% CI 2.312, 12.581), p = 0.005] and MAP [β = 0.425 (95% CI 0.187, 0.663), p = 0.001]. CONCLUSION APS patients exhibit elevated AIx@75 vs HC and similar to DM patients, indicating enhanced arterial stiffening in APS. Given its prognostic value, ArS evaluation may help to improve cardiovascular risk stratification in APS.
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Affiliation(s)
- Gerasimos Evangelatos
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Joint Academic Rheumatology Program, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - George Konstantonis
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Tentolouris
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Petros P Sfikakis
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Joint Academic Rheumatology Program, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria G Tektonidou
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Joint Academic Rheumatology Program, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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5
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Wungu CDK, Susilo H, Alsagaff MY, Witarto BS, Witarto AP, Pakpahan C, Gusnanto A. Role of klotho and fibroblast growth factor 23 in arterial calcification, thickness, and stiffness: a meta-analysis of observational studies. Sci Rep 2024; 14:5712. [PMID: 38459119 PMCID: PMC10923819 DOI: 10.1038/s41598-024-56377-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 03/05/2024] [Indexed: 03/10/2024] Open
Abstract
This meta-analysis was conducted to clarify the role of klotho and fibroblast growth factor 23 (FGF-23) in human arterial remodeling across recent studies, in terms of arterial calcification, thickness, and stiffness. A systematic literature search was conducted on five databases for articles up to December 2023. Arterial calcification, thickness, and stiffness were determined using the calcification score and artery affected, carotid intima-media thickness (CIMT), and pulse wave velocity (PWV), respectively. Sixty-two studies with a total of 27,459 individuals were included in this meta-analysis. Most studies involved chronic kidney disease patients. Study designs were mostly cross-sectional with only one case-control and nine cohorts. FGF-23 was positively correlated with arterial calcification (r = 0.446 [0.254-0.611], p < 0.0001 and aOR = 1.36 [1.09-1.69], p = 0.006), CIMT (r = 0.188 [0.02-0.354], p = 0.03), and PWV (r = 0.235 [0.159-0.310], p < 0.00001). By contrast, Klotho was inversely correlated with arterial calcification (r = - 0.388 [- 0.578 to - 0.159], p = 0.001) and CIMT (r = - 0.38 [- 0.53 to - 0.207], p < 0.00001). In conclusion, FGF-23 and Klotho were associated with arterial calcification, thickness, and stiffness, clarifying their role in arterial remodeling processes.
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Affiliation(s)
- Citrawati Dyah Kencono Wungu
- Department of Physiology and Medical Biochemistry, Division of Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, 60132, Indonesia.
- Institute of Tropical Disease, Universitas Airlangga, Surabaya, 60115, Indonesia.
| | - Hendri Susilo
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, 60132, Indonesia.
- Department of Cardiology and Vascular Medicine, Universitas Airlangga Hospital, Universitas Airlangga, Surabaya, 60115, Indonesia.
| | - Mochamad Yusuf Alsagaff
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, 60132, Indonesia
- Department of Cardiology and Vascular Medicine, Universitas Airlangga Hospital, Universitas Airlangga, Surabaya, 60115, Indonesia
| | | | - Andro Pramana Witarto
- Medical Program, Faculty of Medicine, Universitas Airlangga, Surabaya, 60132, Indonesia
| | - Cennikon Pakpahan
- Department of Biomedical Sciences, Faculty of Medicine, Universitas Airlangga, Surabaya, 60132, Indonesia
| | - Arief Gusnanto
- School of Mathematics, University of Leeds, Leeds, LS2 9JT, UK
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6
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Inuzuka S, Barroso WKS. Arterial Stiffness and Chronic Kidney Disease Prediction. Arq Bras Cardiol 2024; 120:e20230779. [PMID: 38451616 PMCID: PMC11021035 DOI: 10.36660/abc.20230779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/06/2023] [Accepted: 12/06/2023] [Indexed: 03/08/2024] Open
Affiliation(s)
- Sayuri Inuzuka
- Universidade Federal de GoiásLiga de Hipertensão ArterialGoiâniaGOBrasilUniversidade Federal de Goiás - Liga de Hipertensão Arterial, Goiânia, GO – Brasil
| | - Weimar Kunz Sebba Barroso
- Universidade Federal de GoiásLiga de Hipertensão ArterialGoiâniaGOBrasilUniversidade Federal de Goiás - Liga de Hipertensão Arterial, Goiânia, GO – Brasil
- Universidade Federal de GoiásFaculdade de MedicinaGoiâniaGOBrasilFaculdade de Medicina - Universidade Federal de Goiás (UFG), Goiânia, GO – Brasil
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7
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Christensson A, Lundgren S, Johansson M, Nilsson PM, Engström G, Laucyte-Cibulskiene A. Aortic Stiffness Can be Predicted From Different eGFR Formulas With Long Follow-Up in the Malmö Diet Cancer Study. Angiology 2024:33197241232719. [PMID: 38334715 DOI: 10.1177/00033197241232719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
We studied the impact of estimated glomerular filtration rate (eGFR) based on either creatinine or cystatin C, or in combination, on vascular aging (aortic stiffness) and central hemodynamics (central systolic blood pressure) in a Swedish urban population with median 17 years of follow-up. Participants (n = 5049) from the population-based Malmö Diet and Cancer Study that underwent baseline examination and later participated in the prospective cardiovascular arm were selected. Of these, 2064 with measured carotid-femoral pulse wave velocity (cfPWV) and central blood pressure at follow-up were enrolled. eGFR was calculated using cystatin C (eGFRCYS) and creatinine (eGFRCR) equations: Caucasian, Asian, pediatric, and adult cohorts (CAPA), the Lund-Malmö revised (LMrev), and the European Kidney Function Consortium (EKFC) equations. Lower adjusted eGFRCR, but not eGFRCYS, were independently associated with higher cfPWV (P < .001, respectively). eGFR <60 mL/min/1.73 m2 determined higher cfPWV except when using the EKFC equation. Conversely, CAPA/LMrev and CAPA/EKFC ratios were not associated with aortic stiffness. Lower eGFRCR is associated with higher future aortic stiffness independently of age, sex, heart rate, mean blood pressure, body mass index, and antihypertensive treatment. The ratio of eGFRCYS and eGFRCR equations could not predict aortic stiffness at all.
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Affiliation(s)
- Anders Christensson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Nephrology, Skane University Hospital, Malmö, Sweden
| | - Simon Lundgren
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Nephrology, Skane University Hospital, Malmö, Sweden
| | - Madeleine Johansson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Cardiology, Skåne University Hospital, Malmö, Sweden
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Gunnar Engström
- Cardiovascular Epidemiology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Agne Laucyte-Cibulskiene
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Nephrology, Skane University Hospital, Malmö, Sweden
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Dragoș D, Manea MM, Dobri AM, Stoican IC, Enache II, Ghenu MI, Tuta S. Risk factors for the outcome after thrombolysis in acute ischemic stroke - the prominent role of kidney dysfunction: A retrospective cohort observational study. Medicine (Baltimore) 2023; 102:e35688. [PMID: 37904370 PMCID: PMC10615531 DOI: 10.1097/md.0000000000035688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 09/27/2023] [Indexed: 11/01/2023] Open
Abstract
A complex interplay of factors reflecting the general biological, cardiovascular, neurological, renal, and metabolic status of patients influences the outcome of thrombolysis in stroke patients. This is a retrospective cohort observational study aimed to determine the importance of kidney dysfunction among these factors. Data (demographic, lifestyle, physical examination, laboratory, imaging, including metabolic and cardiovascular risk factors and comorbidities, neurological scores, and outcomes) of all stroke patients who underwent thrombolysis have been registered since January 1, 2016, in an online database. A total of 296 patients registered until December 31, 2020, were included in the study. The National Institutes of Health Stroke Scale, modified Rankin scale, Barthel index, percentage of hemorrhagic transformation, and in hospital death were used to evaluate the neurological status and outcomes of the patients. Regression analysis, Mann-Whitney test, Fisher exact test, logistic regression, and multivariate analysis were used for statistical analysis. Kidney dysfunction, as reflected by the estimated glomerular filtration rate, was associated with in hospital death and all but one of the neurological scores. Other risk factors most frequently associated with neurological scores were age, international normalized ratio, and cognitive decline. Multivariate analysis revealed estimated glomerular filtration rate (as determined by chronic kidney disease-EPI equation) as a determinant for all but one of these scores, and as the most important determinant for most of them, except for those reflecting the pre-intervention neurological status of the patient. Kidney dysfunction seems to be the most important determinant of the outcome of thrombolysed stroke patients, a result obtained by no other study.
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Affiliation(s)
- Dorin Dragoș
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- 1st Internal Medicine Department, Emergency University Hospital, Bucharest, Romania
| | - Maria Mirabela Manea
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Neurology Department, National Institute of Neurology and Neurovascular Diseases, Bucharest, Romania
| | - Ana-Maria Dobri
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Neurology Department, National Institute of Neurology and Neurovascular Diseases, Bucharest, Romania
| | - Iulia-Cosmina Stoican
- Neurology Department, National Institute of Neurology and Neurovascular Diseases, Bucharest, Romania
| | - Iulia-Ioana Enache
- Neurology Department, National Institute of Neurology and Neurovascular Diseases, Bucharest, Romania
| | - Maria Iuliana Ghenu
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- 1st Internal Medicine Department, Emergency University Hospital, Bucharest, Romania
| | - Sorin Tuta
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Neurology Department, National Institute of Neurology and Neurovascular Diseases, Bucharest, Romania
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9
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Wang Y, Liu H, Wang J, Hu X, Wang A, Chen K, Wang A, Zang L, Cheng Y, Gu W, Dou J, Mu Y, Du J, Lyu Z. The association between brachial-ankle pulse-wave velocity and adverse cardiovascular events in 5719 community participants a prospective cohort study. J Hypertens 2023; 41:1411-1419. [PMID: 37334543 DOI: 10.1097/hjh.0000000000003481] [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: 06/20/2023]
Abstract
BACKGROUND The brachial-ankle pulse-wave velocity (baPWV) is regarded as the gold standard in the evaluation of arterial stiffness. Its prognostic significance for major adverse cardiovascular events (MACE) has been demonstrated. However, the factors influencing the association between baPWV and MACE risk have not been determined. In this study, we investigated the association of baPWV and MACE risk and whether it is affected by the risk factors for different cardiovascular diseases (CVDs). METHODS This was a prospective cohort study that initially enrolled 6850 participants from 12 communities in Beijing. The participants were divided into three subgroups according to their baPWV values. The primary outcome was the first occurrence of MACE, defined as hospitalization from cardiovascular diseases, first occurrence of a nonfatal myocardial infarction, or nonfatal stroke. Cox proportional hazards regression and restricted cubic spline analyses were used to examine the association between baPWV and MACE. The effect of CVD risk factors on the relationship between baPWV and MACE was explored in subgroup analyses. RESULTS The final study population consisted of 5719 participants. During a median follow-up of 34.73 months, MACE occurred in 169 participants. The restricted cubic spline analysis indicated a positive linear relationship between baPWV and MACE risk. After adjustment for cardiovascular risk factors, the hazard ratio (HR) for MACE risk per SD increase in baPWV was 1.272 [95% confidence interval (CI): 1.149-1.407, P < 0.001], and the HR for MACE in the high-baPWV vs. the low-baPWV group was 1.965 (95% CI: 1.296-2.979, P = 0.001). Adding baPWV to the conventional cardiovascular risk factors significantly improved the model's prediction performance and the net reclassification (NRI) [NRI: 0.379 (95% CI: 0.072-0.710), P = 0.025] in MACE discrimination. However, in the subgroup analysis, two CVD risk factors, stable coronary heart disease and hypertension, showed significant interaction effects ( Pinteraction both < 0.05). This result indicated that the effect of CVD risk factors must be taken into account when assessing the relationship between baPWV and MACE. CONCLUSION baPWV is a potential marker to improve the identification of MACE risk in the general population. A positive linear correlation was firstly determined between baPWV and MACE risk, but it may not be valid in participants with stable coronary heart disease and hypertension.
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Affiliation(s)
- Yuhan Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
- Department of Endocrinology, Beijing Friendship Hospital, Capital Medical University, Xicheng District
| | - Hongzhou Liu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
- Department of Endocrinology, Aerospace Center Hospital, Haidian District, Beijing, China
| | - Jincheng Wang
- Department of Epidemiology, The George Washington University, Washington, DC, USA
| | - Xiaodong Hu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Anping Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Kang Chen
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Anning Wang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Li Zang
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Yu Cheng
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Weijun Gu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Jingtao Dou
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Yiming Mu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Jin Du
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
| | - Zhaohui Lyu
- Department of Endocrinology, The First Medical Center, Chinese PLA General Hospital, Haidian District
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Rusu CC, Kacso I, Moldovan D, Potra A, Tirinescu D, Ticala M, Rotar AM, Orasan R, Budurea C, Barar A, Anton F, Valea A, Bondor CI, Ticolea M. Triiodothyronine and Protein Malnutrition Could Influence Pulse Wave Velocity in Pre-Dialysis Chronic Kidney Disease Patients. Diagnostics (Basel) 2023; 13:2462. [PMID: 37510208 PMCID: PMC10377851 DOI: 10.3390/diagnostics13142462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 07/15/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023] Open
Abstract
Cardiovascular diseases (CVD) are the first cause of chronic kidney disease (CKD) mortality. For personalized improved medicine, detecting correctable markers of CVD can be considered a priority. The aim of this study was the evaluation of the impact of nutritional, hormonal and inflammatory markers on brachial-ankle Pulse Wave Velocity (PWV) in pre-dialysis CKD patients. A cross-sectional observational study was conducted on 68 pre-dialysis CKD patients (median age of 69 years, 41.2% with diabetes mellitus, 52.9% male). Laboratory data were collected, including levels of prolactin, triiodothyronine, TGF α, IL-6, and IL-1β. The high values of brachial-ankle PWV were associated with reduced muscle mass (p = 0.001, r = -0.44), low levels of total cholesterol (p = 0.04, r = -0.26), triglycerides (p = 0.03, r = -0.31), triiodothyronine (p = 0.04, r = -0.24), and prolactin (p = 0.02, r = -0.27). High PWV was associated with advanced age (p < 0.001, r = 0.19). In the multivariate analysis, reduced muscle mass (p = 0.018), low levels of triiodothyronine (p = 0.002), and triglycerides (p = 0.049) were significant predictors of PWV, but age (p < 0.001) remained an important factor. In conclusion, reduced triiodothyronine together with markers of malnutrition and age were associated with PWV in pre-dialysis CKD patients.
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Affiliation(s)
- Crina Claudia Rusu
- Department of Nephrology, University of Medicine and Pharmacy "Iuliu Hatieganu" Cluj, 8 Victor Babeș Street, 400012 Cluj-Napoca, Romania
- Department of Nephrology, County Emergency Clinical Hospital Cluj, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
| | - Ina Kacso
- Department of Nephrology, University of Medicine and Pharmacy "Iuliu Hatieganu" Cluj, 8 Victor Babeș Street, 400012 Cluj-Napoca, Romania
- Department of Nephrology, County Emergency Clinical Hospital Cluj, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
| | - Diana Moldovan
- Department of Nephrology, University of Medicine and Pharmacy "Iuliu Hatieganu" Cluj, 8 Victor Babeș Street, 400012 Cluj-Napoca, Romania
- Department of Nephrology, County Emergency Clinical Hospital Cluj, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
| | - Alina Potra
- Department of Nephrology, University of Medicine and Pharmacy "Iuliu Hatieganu" Cluj, 8 Victor Babeș Street, 400012 Cluj-Napoca, Romania
- Department of Nephrology, County Emergency Clinical Hospital Cluj, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
| | - Dacian Tirinescu
- Department of Nephrology, University of Medicine and Pharmacy "Iuliu Hatieganu" Cluj, 8 Victor Babeș Street, 400012 Cluj-Napoca, Romania
- Department of Nephrology, County Emergency Clinical Hospital Cluj, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
| | - Maria Ticala
- Department of Nephrology, University of Medicine and Pharmacy "Iuliu Hatieganu" Cluj, 8 Victor Babeș Street, 400012 Cluj-Napoca, Romania
- Department of Nephrology, County Emergency Clinical Hospital Cluj, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
| | - Ancuta M Rotar
- Department of Food Science, Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Manastur 3-5, 400372 Cluj-Napoca, Romania
| | - Remus Orasan
- Nefromed Dialysis Center, 40 Ana Aslan Street, 400528 Cluj-Napoca, Romania
| | - Cristian Budurea
- Nefromed Dialysis Center, 40 Ana Aslan Street, 400528 Cluj-Napoca, Romania
| | - Andrada Barar
- Department of Nephrology, County Emergency Clinical Hospital Cluj, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
| | - Florin Anton
- Department of Cardiology, University of Medicine and Pharmacy "Iuliu Hatieganu" Cluj, 8 Victor Babeș Street, 400012 Cluj-Napoca, Romania
| | - Ana Valea
- Department of Endocrinology, University of Medicine and Pharmacy "Iuliu Hatieganu" Cluj, 8 Victor Babeș Street, 400012 Cluj-Napoca, Romania
| | - Cosmina Ioana Bondor
- Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy "Iuliu Hatieganu" Cluj, 6 Pasteur Street, 400349 Cluj-Napoca, Romania
| | - Madalina Ticolea
- Department of Nephrology, County Emergency Clinical Hospital Cluj, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
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Jiticovski AFM, Souza DF, Freitas EGB, Ferreira CR, Pereira CDS, Galvão RDV, Santos WDAM, de Oliveira EP, Ferreira SR. Vascular stiffness and healthy arterial aging in older patients with optimal blood pressure. J Bras Nefrol 2023; 45:310-317. [PMID: 36638247 PMCID: PMC10697168 DOI: 10.1590/2175-8239-jbn-2022-0123en] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 11/17/2022] [Indexed: 01/15/2023] Open
Abstract
INTRODUCTION Pulse wave velocity is used to diagnose central arterial stiffness (CAS) and quantify healthy vascular aging (HVA). OBJECTIVE To evaluate the CAS and HVA in elderly patients with systemic blood pressure levels classified as optimal/normal. METHODS A total of 102 patients without comorbidities and with systolic pressure (SP) < 120 mmHg and diastolic pressure (DP) < 80 mmHg were selected from the EVOPIU database (Pulse Wave Velocity of Elderly Individuals in an Urban area of Brazil). The carotid-femoral pulse wave velocity (c-fPWV) and the central and peripheral pressures were evaluated in all patients. The patients were divided into four groups: G1: (n = 19, with c-fPWV < 7.6 m/s, without medication), G2 (n = 26, c-fPWV ≥ 7.6 m/s; without medication), G3 (n = 25, c-fPWV < 7.6 m/s with antihypertensive medication), and G4 (n = 32, c-fPWV ≥ 7.6 m/s with antihypertensive medication). RESULTS In our sample, 56.7% of patients had c-fPWV ≥ 7.6 m/s. The central systolic pressure in G1 [99 (10) mmHg] was lower than that found in the other three groups [vs. 112 (14) mmHg, 111 (15), 112 (20) mmHg; P < 0.05)]. CONCLUSION Older people with optimal arterial blood pressure do not necessarily have HVA and could have c-fPWV values close to the limits established for CAS diagnosis.
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Affiliation(s)
| | - Denis Fabiano Souza
- Universidade Federal de Uberlândia, Faculdade de Medicina,
Uberlândia, MG, Brazil
| | | | | | | | | | | | - Erick P. de Oliveira
- Universidade Federal de Uberlândia, Faculdade de Medicina,
Uberlândia, MG, Brazil
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12
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Sharma RK, Kamble SH, Krishnan S, Gomes J, To B, Li S, Liu IC, Gumz ML, Mohandas R. Involvement of lysyl oxidase in the pathogenesis of arterial stiffness in chronic kidney disease. Am J Physiol Renal Physiol 2023; 324:F364-F373. [PMID: 36825626 PMCID: PMC10069822 DOI: 10.1152/ajprenal.00239.2022] [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: 09/07/2022] [Revised: 02/01/2023] [Accepted: 02/20/2023] [Indexed: 02/25/2023] Open
Abstract
Patients with chronic kidney disease (CKD) are at increased risk for adverse cardiovascular events. CKD is associated with increases in arterial stiffness, whereas improvements in arterial stiffness correlate with better survival. However, arterial stiffness is increased early in CKD, suggesting that there might be additional factors, unique to kidney disease, that increase arterial stiffness. Lysyl oxidase (LOX) is a key mediator of collagen cross linking and matrix remodeling. LOX is predominantly expressed in the cardiovascular system, and its upregulation has been associated with increased tissue stiffening and extracellular matrix remodeling. Thus, this study was designed to evaluate the role of increased LOX activity in inducing aortic stiffness in CKD and whether β-aminopropionitrile (BAPN), a LOX inhibitor, could prevent aortic stiffness by reducing collagen cross linking. Eight-week-old male C57BL/6 mice were subjected to 5/6 nephrectomy (Nx) or sham surgery. Two weeks after surgery, mice were randomized to BAPN (300 mg/kg/day in water) or vehicle treatment for 4 wk. Aortic stiffness was assessed by pulse wave velocity (PWV) using Doppler ultrasound. Aortic levels of LOX were assessed by ELISA, and cross-linked total collagen levels were analyzed by mass spectrometry and Sircol assay. Nx mice showed increased PWV and aortic wall remodeling compared with control mice. Collagen cross linking was increased in parallel with the increases in total collagen in the aorta of Nx mice. In contrast, Nx mice that received BAPN treatment showed decreased cross-linked collagens and PWV compared with that received vehicle treatment. Our results indicated that LOX might be an early and key mediator of aortic stiffness in CKD.NEW & NOTEWORTHY Arterial stiffness in CKD is associated with adverse cardiovascular outcomes. However, the mechanisms underlying increased aortic stiffness in CKD are unclear. Herein, we demonstrated that 1) increased aortic stiffness in CKD is independent of hypertension and calcification and 2) LOX-mediated changes in extracellular matrix are at least in part responsible for increased aortic stiffness in CKD. Prevention of excess LOX may have therapeutic potential in alleviating increased aortic stiffness and improving cardiovascular disease in CKD.
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Affiliation(s)
- Ravindra K Sharma
- Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida, United States
| | - Shyam H Kamble
- Department of Pharmacology, University of Florida College of Medicine, Gainesville, Florida, United States
| | - Suraj Krishnan
- Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida, United States
| | - Joshua Gomes
- Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida, United States
| | - Brandon To
- Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida, United States
| | - Shiyu Li
- Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida, United States
| | - I-Chia Liu
- Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida, United States
| | - Michelle L Gumz
- Division of Nephrology, Hypertension and Renal Transplantation, Department of Medicine, University of Florida College of Medicine, Gainesville, Florida, United States
- Department of Physiology and Aging, University of Florida College of Medicine, Gainesville, Florida, United States
| | - Rajesh Mohandas
- Division of Nephrology and Hypertension, Louisiana State University Health Sciences Center School of Medicine, New Orleans, Louisiana, United States
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13
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Ng XN, Tsai JP, Wang CH, Hsu BG. Carotid–Femoral Pulse Wave Velocity Could Be a Marker to Predict Cardiovascular and All-Cause Mortality of Hemodialysis Patients. J Clin Med 2023; 12:jcm12072509. [PMID: 37048592 PMCID: PMC10094871 DOI: 10.3390/jcm12072509] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/21/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
Abstract
Among hemodialysis (HD) patients, cardiovascular disease (CVD) is recognized as a major contributor to the high risk of mortality, and emerging evidence has ascertained arterial stiffness as an independent predictor of adverse cardiovascular (CV) outcomes. We aimed to investigate the efficacy of arterial stiffness measurement in predicting CV and all-cause mortality in patients on HD (n = 130). Carotid–femoral pulse wave velocity (cfPWV) was measured by a validated tonometry system. A cfPWV of >10 m/s was used to assign patients to the arterial stiffness group (n = 64). Baseline and biochemical characteristics, as well as all-cause and CV mortality, were recorded. During the 3-year follow-up period, a total of 32 deaths (25%) occurred. The patients who died had clinically significant high cfPWV levels; were relatively old; and had hypoalbuminemia, low creatinine levels, and diabetes. After adjustment for the prognostic variables, patients with elevated cfPWV had significantly higher all-cause (p = 0.036) and CV mortality (p = 0.017), compared with the mortality rates in the normal group. In this study, cfPWV was found to be an independent predictor of all-cause and CV mortality in HD patients.
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14
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Aortic Stiffness: A Major Risk Factor for Multimorbidity in the Elderly. J Clin Med 2023; 12:jcm12062321. [PMID: 36983321 PMCID: PMC10058400 DOI: 10.3390/jcm12062321] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 03/19/2023] Open
Abstract
Multimorbidity, the coexistence of multiple health conditions in an individual, has emerged as one of the greatest challenges facing health services, and this crisis is partly driven by the aging population. Aging is associated with increased aortic stiffness (AoStiff), which in turn is linked with several morbidities frequently affecting and having disastrous consequences for the elderly. These include hypertension, ischemic heart disease, heart failure, atrial fibrillation, chronic kidney disease, anemia, ischemic stroke, and dementia. Two or more of these disorders (multimorbidity) often coexist in the same elderly patient and the specific multimorbidity pattern depends on several factors including sex, ethnicity, common morbidity routes, morbidity interactions, and genomics. Regular exercise, salt restriction, statins in patients at high atherosclerotic risk, and stringent blood pressure control are interventions that delay progression of AoStiff and most likely decrease multimorbidity in the elderly.
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15
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Li J, Gao J, Zhang X, Cui L, Hou J, Gao B, Wu S, Lu C. The Relationship between Vascular Aging Phenotypes and Renal Damage among Individuals with Type 2 Diabetes. Cardiorenal Med 2023; 13:91-100. [PMID: 36843125 DOI: 10.1159/000526345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/15/2022] [Indexed: 02/26/2023] Open
Abstract
OBJECTIVE The aim of this study was to investigate the relationship between vascular aging (VA) phenotypes and renal damage in type 2 diabetic population. METHODS In this cross-sectional study, we included 8,141 individuals with type 2 diabetes who participated in the Kailuan Study during 2010-2018 and completed the brachial-ankle pulse wave velocity (baPWV) assessment for arterial stiffness, an indicator for VA. The age- and sex-specific 10th and 90th percentiles of baPWV based on a reference cohort were used as cutoffs to define supernormal VA (SUPERNOVA, baPWV<10th percentiles), normal VA (NVA, baPWV 10th to 90th percentiles), and early VA (EVA, baPWV>90th percentiles). The estimated glomerular filtration rate (eGFR) and proteinuria levels were used to assess renal damage, including isolated proteinuria, isolated kidney function decline (eGFR<60 mL/min/1.73 m2), and proteinuria combined with kidney function decline. Multivariable logistic regression analysis was used to analyze the relationship between VA phenotypes and diabetic kidney damage. RESULTS The prevalences of isolated proteinuria, isolated kidney function decline, and proteinuria combined with kidney function decline were 17.0%, 12.2%, and 5.4%, respectively. Compared with NVA, SUPERNOVA was associated with 34% lower odds (95% confidence interval [CI]: 0.46-0.96) of isolated proteinuria after adjusting for age, sex, and other potential confounders. EVA was associated with higher odds of all three types of kidney damage; the adjusted odds ratio (95% CI) was 1.42 (1.20-1.67) for proteinuria, 1.24 (1.01-1.51) for kidney function decline, and 1.56 (1.18-2.06) for proteinuria combined with kidney function decline. CONCLUSIONS VA phenotypes are associated with renal damage, especially isolated proteinuria. SUPERNOVA was associated with lower odds of isolated proteinuria and EVA was associated with higher odds of proteinuria and kidney function decline.
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Affiliation(s)
- Junjuan Li
- First Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Cardiology, Tianjin First Central Hospital, Tianjin, China
- Department of Nephrology, Kailuan General Hospital, Tangshan, China
| | - Jingli Gao
- Department of Intensive medicine, Kailuan General Hospital, Tangshan, China
| | - Xinyuan Zhang
- Department of Nutritional Sciences, Pennsylvania State University, State College, Philadelphia, Pennsylvania, USA
| | - Liufu Cui
- Department of Rheumatology and Immunology, Kailuan General Hospital, Tangshan, China
| | - Jinhong Hou
- Department of Nephrology, Kailuan General Hospital, Tangshan, China
| | - Bixia Gao
- Renal Division, Department of Medicine, Peking University Institute of Nephrology, Key Laboratory of Renal Disease, Ministry of health of China, and Key Laboratory of Chronic Kidney disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Chengzhi Lu
- First Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Cardiology, Tianjin First Central Hospital, Tianjin, China
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Lian IB, Chiu PF, Hsieh YC, Ou YH, Lin CM. Can chronic kidney disease staging early predict outcome of large-artery ischemic stroke with impaired renal function? Ther Adv Chronic Dis 2023; 14:20406223231153564. [PMID: 36815092 PMCID: PMC9940177 DOI: 10.1177/20406223231153564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 01/11/2023] [Indexed: 02/19/2023] Open
Abstract
Background Ischemic stroke poses a major threat to human beings, and a prompt intravenous thrombolytic management remains the gold standard protocol for stroke sufferers. Although the role of thrombolytic therapy (r-tPA) for ischemic stroke patients and those with underlying impaired renal function has been advocated as effective treating strategy, there is still a lack of investigation as to finding out baseline important variables that are capable of early outcome prediction. Objectives In this project, we hypothesize that the change of clinical chronic kidney disease (CKD) staging (delta stage = CKD stage after 3-month follow-up - CKD stage at admission) could serve as a crucial predictor of the prognosis of patients. Design This is a cohort longitudinal retrospective study. Sources and Methods A total of 765 cerebral artery ischemic stroke patients with impaired renal function were recruited and followed up for 1 year. Among them, 116 had received the thrombolytic treatment (r-tPA) after being evaluated at the triage in the emergency department and the rest had not (non-r-tPA). Propensity-matching was applied to compare the mortality between the r-tPA and non-r-tPA groups. Multiple logistic regression (LR) and decision tree (DT) algorithm were used to identify important prediction factors for mortality as well as the improvement in neurological function. Results The 1-year mortality rates for r-tPA and non-r-tPA groups were 32.8% and 44.4%, respectively. The propensity-matched odds ratio of mortality for the r-tPA group compared with the non-r-tPA group is 0.469, with p = 0.003. Logistic regressions suggest that age, Hct, diabetes mellitus type 2, coronary artery disease, and delta stage are important factors for mortality for the non-r-tPA group, whereas age, diabetes mellitus type 2, chronic heart failure, hospital day, and delta stage are important factors for the r-tPA group. On the usage of antihypertensive drugs, ACEI/ARB was not associated with mortality (p = 0.198), whereas the diuretic was, with odds ratio at 1.619 (p = 0.025), indicating higher mortality after administration. Both LR and DT analyses indicate that delta stage is the most important predictor. For the r-tPA group, patients with delta stage ⩽0 had a 24% mortality, while that for delta stage >0 the mortality is 75%. For non-r-tPA patients, the corresponding mortalities were 30.9 and 66.3, respectively. Delta stage is also useful for predicting patients' improvement of neurological function, assessed by NIHSS, mRS, and Barthel Index. The areas under the curve for the three assessments are 0.83, 0.835, and 0.663, respectively. Conclusion Large-artery ischemic stroke patients who received thrombolytic treatment had significantly lower mortality, even when presenting underlying impaired renal function. The change of CKD staging (delta stage) is capable of acting as a powerful clinical baseline surrogate for both r-tPA and non-r-tPA patients in terms of early outcome prediction. Long-term use of diuretics could be potentially harmful to this group of patients. Moreover, delta stage correlates well with clinical long-term neurological functionality assessment (NIHSS, mRS, and Barthel index), which is helpful in aiding urgent clinical decision-making.
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Jiticovski AFM, Souza DF, Freitas EGB, Ferreira CR, Pereira CDS, Galvão RDV, Santos WDAM, Oliveira EPD, Ferreira Filho SR. Rigidez vascular e envelhecimento arterial saudável em pacientes idosos com pressão arterial ideal. J Bras Nefrol 2023. [DOI: 10.1590/2175-8239-jbn-2022-0123pt] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
RESUMO Introdução: A velocidade da onda de pulso é usada para diagnosticar a rigidez arterial central (RAC) e quantificar o envelhecimento vascular saudável (EVS). Objetivo: Avaliar a RAC e o EVS em pacientes idosos com níveis pressóricos sistêmicos classificados como ideais/normais. Métodos: Um total de 102 pacientes sem comorbidades e com pressão sistólica (PS) < 120 mmHg e pressão diastólica (PD) < 80 mmHg foram selecionados do banco de dados EVOPIU (Estudo da Velocidade de Onda de Pulso em Idosos em área Urbana no Brasil). Foram avaliadas a velocidade da onda de pulso carotídeo-femoral (VOPcf) e as pressões central e periférica em todos os pacientes. Os pacientes foram divididos em quatro grupos: G1: (n = 19; com VOPcf < 7,6 m/s; sem medicação), G2 (n = 26; VOPcf ≥ 7,6 m/s; sem medicação), G3 (n = 25; VOPcf < 7,6 m/s com medicação anti-hipertensiva), e G4 (n = 32; VOPcf ≥ 7,6 m/s com medicação anti-hipertensiva). Resultados: Em nossa amostra, 56,7% dos pacientes apresentaram VOPcf ≥ 7,6 m/s. A pressão sistólica central no G1 [99 (10) mmHg] foi inferior à encontrada nos outros três grupos [vs. 112 (14) mmHg, 111 (15), 112 (20) mmHg; P < 0,05)]. Conclusão: Pessoas idosas com pressão arterial ideal não necessariamente têm EVS e podem apresentar valores de VOPcf próximos aos limites estabelecidos para o diagnóstico de RAC.
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Wang J, Feng Y, Zhang Y, Liu J, Gong L, Zhang X, Liao H. TNF-α and IL-1β Promote Renal Podocyte Injury in T2DM Rats by Decreasing Glomerular VEGF/eNOS Expression Levels and Altering Hemodynamic Parameters. J Inflamm Res 2022; 15:6657-6673. [PMID: 36532651 PMCID: PMC9748123 DOI: 10.2147/jir.s391473] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 11/30/2022] [Indexed: 07/01/2024] Open
Abstract
PURPOSE Diabetic nephropathy (DN) is a serious microvascular complication in those with type 2 diabetes mellitus (T2DM). Evidence confirms that serum tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in the T2DM stage are proposed as prognostic markers for DN development, but it is unclear how they affect renal podocyte-associated nephrin and WT-1 expression. In the presence of podocyte injury, glomerular vascular endothelial growth factor (VEGF), endothelial nitric oxide synthase (eNOS) and hemodynamic parameters are dysregulated. The current research aimed to clarify the relationship of TNF-α and IL-1β with podocyte injury by altering VEGF/eNOS expression and hemodynamic parameters. METHODS A high-fat diet/streptozotocin-induced DN rat model was established. Serum TNF-α and IL-1β levels were tracked in the pre-T2DM, T2DM and DN stages. In the DN stage, the mRNA and protein expression levels of renal TNF-α, IL-1β, VEGF, eNOS, nephrin and WT-1 were studied. Renal hemodynamic parameters, including peak systolic velocity, end-diastolic flow velocity and mean velocity were measured with a color Doppler ultrasound technique. RESULTS Compared to those in the normal control (CTL) group, serum TNF-α and IL-1β levels increased significantly in the pre-T2DM stage (obesity, insulin resistance and hyperlipidemia), T2DM stage (hyperglycemia) and DN stage (abnormal renal functions) (all: P < 0.05) in the DN group. Serum TNF-α and IL-1β levels in the T2DM stage were significantly higher than those in the pre-T2DM stage (two: P < 0.05). Compared to the CTL group, renal nephrin, WT-1, TNF-α, IL-1β, eNOS and VEGF expression and hemodynamic parameters in the DN stage all showed significant differences separately (all: P < 0.05). CONCLUSION Increased serum and renal TNF-α and IL-1β levels played important roles in reducing renal nephrin and WT-1 expression levels, which may be related to the fact that the former affected renal VEGF/eNOS expression and blood flow parameters in the DN rats.
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Affiliation(s)
- Jufang Wang
- Department of Ultrasonic Diagnosis, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People’s Hospital), Taiyuan, People’s Republic of China
| | - Yating Feng
- School of Pharmacy, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Yan Zhang
- Department of Nephrology, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People’s Hospital), Taiyuan, People’s Republic of China
| | - Jing Liu
- School of Pharmacy, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Le Gong
- School of Pharmacy, Shanxi Medical University, Taiyuan, People’s Republic of China
| | - Xiaohong Zhang
- Department of Ultrasonic Diagnosis, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People’s Hospital), Taiyuan, People’s Republic of China
| | - Hui Liao
- Department of Pharmacy, Fifth Hospital of Shanxi Medical University (Shanxi Provincial People’s Hospital), Taiyuan, People’s Republic of China
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Hu S, Lin C, Cai X, Zhu X, Lv F, Yang W, Ji L. Disparities in efficacy and safety of sodium-glucose cotransporter 2 inhibitor among patients with different extents of renal dysfunction: A systematic review and meta-analysis of randomized controlled trials. Front Pharmacol 2022; 13:1018720. [PMID: 36483741 PMCID: PMC9723253 DOI: 10.3389/fphar.2022.1018720] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 11/02/2022] [Indexed: 09/08/2023] Open
Abstract
Background: The pleiotropic efficacy of SGLT2is in patients with different eGFR levels has not been well-understood. This systematic review and meta-analysis assessed the disparities in the efficacy and safety of SGLT2i treatment across stratified renal function. Methods: We searched four databases from inception to December 2021. We included randomized controlled trials (RCTs) with reported baseline eGFR levels and absolute changes from baseline in at least one of the following outcomes: HbA1c, body weight, blood pressure, and eGFR. Continuous outcomes were evaluated as the weighted mean differences (WMDs) and 95% confidence intervals (CIs). Categorical outcomes were evaluated as odds ratios (ORs) and accompanying 95% CIs. Results: In total, 86 eligible RCTs were included. SGLT2is produces a substantial benefit in glycemic control, weight control, and blood pressure control even in patients with impaired renal function. HbA1c and weight reductions observed in SGLT2i users were generally parallel with the renal function levels, although there was an augmented weight reduction in severe renal dysfunction stratum [HbA1c: -0.49% (-0.58 to -0.39%) for normal renal function, -0.58% (-0.66 to -0.50%) for mild renal function impairment, -0.22% (-0.35 to -0.09%) for moderate renal function impairment, and -0.13% (-0.67 to 0.42%) for severe renal function impairment (p < 0.001 for subgroup differences); weight: -2.12 kg (-2.66 to -1.59 kg) for normal renal function, -2.06 kg (-2.31 to -1.82 kg) for mild renal function impairment; -1.23 kg (-1.59 to -0.86 kg) for moderate renal function impairment; -1.88 kg (-3.04 to -0.72 kg) for severe renal function impairment (p = 0.002 for subgroup differences)]. However, the blood pressure reduction observed in SGLT2i users was independent of renal function. When compared with the placebo, the occurrence of hypoglycemia was more frequent in patients with favorable renal function rather than in those with substantial renal dysfunction. Conclusion: The HbA1c and body weight reductions observed in SGLT2i users were generally parallel with their baseline eGFR levels, while blood pressure reductions in SGLT2i users were independent of their baseline eGFR levels. Consistently, when compared with the placebo, hypoglycemia was more frequent in patients with favorable renal function, where the HbA1c reduction was profound.
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Affiliation(s)
| | | | - Xiaoling Cai
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China
| | | | | | | | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, China
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20
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Shan Y, Zhang Y, Zhao Y, Lu Y, Chen B, Yang L, Tan C, Bai Y, Sang Y, Liu J, Jian M, Ruan L, Zhang C, Li T. Development and validation of a cardiovascular diseases risk prediction model for Chinese males (CVDMCM). Front Cardiovasc Med 2022; 9:967097. [DOI: 10.3389/fcvm.2022.967097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 11/02/2022] [Indexed: 11/21/2022] Open
Abstract
BackgroundDeath due to cardiovascular diseases (CVD) increased significantly in China. One possible way to reduce CVD is to identify people at risk and provide targeted intervention. We aim to develop and validate a CVD risk prediction model for Chinese males (CVDMCM) to help clinicians identify those males at risk of CVD and provide targeted intervention.MethodsWe conducted a retrospective cohort study of 2,331 Chinese males without CVD at baseline to develop and internally validate the CVDMCM. These participants had a baseline physical examination record (2008–2016) and at least one revisit record by September 2019. With the full cohort, we conducted three models: A model with Framingham CVD risk model predictors; a model with predictors selected by univariate cox proportional hazard model adjusted for age; and a model with predictors selected by LASSO algorithm. Among them, the optimal model, CVDMCM, was obtained based on the Akaike information criterion, the Brier's score, and Harrell's C statistic. Then, CVDMCM, the Framingham CVD risk model, and the Wu's simplified model were all validated and compared. All the validation was carried out by bootstrap resampling strategy (TRIPOD statement type 1b) with the full cohort with 1,000 repetitions.ResultsCVDMCM's Harrell's C statistic was 0.769 (95% CI: 0.738–0.799), and D statistic was 4.738 (95% CI: 3.270–6.864). The results of Harrell's C statistic, D statistic and calibration plot demonstrated that CVDMCM outperformed the Framingham CVD model and Wu's simplified model for 4-year CVD risk prediction.ConclusionsWe developed and internally validated CVDMCM, which predicted 4-year CVD risk for Chinese males with a better performance than Framingham CVD model and Wu's simplified model. In addition, we developed a web calculator–calCVDrisk for physicians to conveniently generate CVD risk scores and identify those males with a higher risk of CVD.
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21
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Twardawa M, Formanowicz P, Formanowicz D. Chronic Kidney Disease as a Cardiovascular Disorder-Tonometry Data Analyses. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12339. [PMID: 36231682 PMCID: PMC9566812 DOI: 10.3390/ijerph191912339] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/18/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Tonometry is commonly used to provide efficient and good diagnostics for cardiovascular disease (CVD). There are many advantages of this method, including low cost, non-invasiveness and little time to perform. In this study, the effort was undertaken to check whether tonometry data hides valuable information associated with different stages of chronic kidney disease (CKD) and end-stage renal disease (ESRD) treatment. For this purpose, six groups containing patients at different stages of CKD following different ways of dialysis treatment, as well as patients without CKD but with CVD and healthy volunteers were assessed. It was revealed that each of the studied groups had a unique profile. Only the type of dialysis was indistinguishable a from tonometric perspective (hemodialysis vs. peritoneal dialysis). Several techniques were used to build profiles that independently gave the same outcome: analysis of variance, network correlation structure analysis, multinomial logistic regression, and discrimination analysis. Moreover, to evaluate the classification potential of the discriminatory model, all mentioned techniques were later compared and treated as feature selection methods. Although the results are promising, it could be difficult to express differences as simple mathematical relations. This study shows that artificial intelligence can differentiate between different stages of CKD and patients without CKD. Potential future machine learning models will be able to determine kidney health with high accuracy and thereby classify patients. ClinicalTrials.gov Identifier: NCT05214872.
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Affiliation(s)
- Mateusz Twardawa
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland
- ICT Security Department, Poznan Supercomputing and Networking Center Affiliated to the Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-139 Poznan, Poland
| | - Piotr Formanowicz
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland
| | - Dorota Formanowicz
- Department of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, 60-806 Poznan, Poland
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22
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Buksińska-Lisik M, Kwasiborski P, Ryczek R, Lisik W, Mamcarz A. The Impact of an Elevated Uric Acid Level on the Prevalence of Coronary Artery Disease in Pancreas Transplant Candidates with Type 1 Diabetes: A Cross Sectional Study. J Clin Med 2022; 11:2421. [PMID: 35566547 PMCID: PMC9102555 DOI: 10.3390/jcm11092421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 04/14/2022] [Accepted: 04/21/2022] [Indexed: 11/17/2022] Open
Abstract
Pancreas transplantation is considered a high-risk surgery with cardiovascular complications. Early detection of all potential cardiovascular risk factors can decrease the perioperative risk and improve the pancreas recipients' outcome. The present study aims to evaluate the association between serum uric acid (UA) levels and the prevalence of coronary artery disease (CAD) in patients eligible for pancreas transplantation. We prospectively enrolled 63 consecutive patients with type 1 diabetes (T1D) who underwent cardiological evaluation before pancreas transplantation in our center. Participants underwent clinical evaluation, laboratory assays, and coronary angiography. The median concentration of UA in patients with CAD was significantly higher than in participants without CAD (6.43 (4.93-7.26) vs. 4.41 (3.64-5.49) mg/dL, p = 0.0002). We showed the positive correlation between UA concentration and systolic blood pressure, pulse pressure (PP) and triglycerides (r = 0.271, p = 0.032; r = 0.327, p = 0.009; r = 0.354, p = 0.004, respectively). In a multivariate analysis, the concentration of UA (OR 2.044; 95% CI: 1.261-3.311, p = 0.004) was independently associated with the prevalence of CAD in pancreas transplant candidates with T1D. We demonstrated that elevated UA levels were strongly associated with the high prevalence of CAD in pancreas transplant candidates with T1D. To stratify cardiovascular risk, the measurement of the UA concentration should be considered in all T1D patients qualified for pancreas transplantation.
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Affiliation(s)
- Małgorzata Buksińska-Lisik
- 3rd Department of Internal Medicine and Cardiology, Medical University of Warsaw, 04-749 Warsaw, Poland;
| | - Przemysław Kwasiborski
- Department of Cardiology and Internal Diseases, Regional Hospital in Miedzylesie, 04-749 Warsaw, Poland;
| | - Robert Ryczek
- Department of Cardiology and Internal Diseases, Military Institute of Medicine, 04-141 Warsaw, Poland;
| | - Wojciech Lisik
- Department of General and Transplantation Surgery, Medical University of Warsaw, 02-006 Warsaw, Poland;
| | - Artur Mamcarz
- 3rd Department of Internal Medicine and Cardiology, Medical University of Warsaw, 04-749 Warsaw, Poland;
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