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Molad J, Miwa K, Nash PS, Ambler G, Best J, Wilson D, Hallevi H, Fandler-Höfler S, Eppinger S, Du H, Al-Shahi Salman R, Jäger HR, Lip GYH, Goeldlin MB, Beyeler M, Bücke P, El-Koussy M, Mattle HP, Panos LD, van Dam-Nolen DHK, Dubost F, Hendrikse J, Kooi ME, Mess W, Nederkoorn PJ, Shiozawa M, Christ N, Bellut M, Gunkel S, Karayiannis C, Van Ly J, Singhal S, Slater LA, Kim YD, Song TJ, Lee KJ, Lim JS, Hara H, Nishihara M, Tanaka J, Yoshikawa M, Demirelli DS, Tanriverdi Z, Uysal E, Coutts SB, Chappell FM, Makin S, Mak HKF, Teo KC, Wong DYK, Hert L, Kubacka M, Lyrer P, Polymeris AA, Wagner B, Zietz A, Abrigo JM, Cheng C, Chu WCW, Leung TWH, Tsang SF, Yiu B, Seiffge DJ, Fischer U, Jung S, Enzinger C, Gattringer T, Bos D, Toyoda K, Fluri F, Phan TG, Srikanth V, Heo JH, Bae HJ, Yakushiji Y, Orken DN, Smith EE, Wardlaw JM, Lau KK, Engelter ST, Peters N, Soo Y, Wheeler DC, Simister RJ, Bornstein NM, Werring DJ, Ben Assayag E, Koga M. Increased risk of recurrent stroke in patients with impaired kidney function: results of a pooled analysis of individual patient data from the MICON international collaboration. J Neurol Neurosurg Psychiatry 2025:jnnp-2024-335110. [PMID: 40274401 DOI: 10.1136/jnnp-2024-335110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Accepted: 01/15/2025] [Indexed: 04/26/2025]
Abstract
BACKGROUND Patients with chronic kidney disease are at increased risk of stroke and frequently have cerebral microbleeds. Whether such patients also encounter an increased risk of recurrent stroke has not been firmly established. We aimed to determine whether impaired kidney function is associated with the risk of recurrent stroke, and microbleed presence, distribution and severity. METHODS We used pooled data from the Microbleeds International Collaborate Network to investigate associations of impaired kidney function, defined as estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2. Our primary outcome was a composite of recurrent ischaemic stroke (IS) and intracranial haemorrhage (ICrH). Secondary outcomes included: (1) individual components of the primary outcome; (2) modification of the primary outcome by microbleed presence or anticoagulant use and (3) microbleed presence, distribution and severity. RESULTS 11 175 patients (mean age 70.7±12.6, 42% female) were included, of which 2815 (25.2%) had impaired kidney function. Compared with eGFR ≥60, eGFR <60 was associated with a higher risk of the primary outcome (adjusted HR, aHR 1.33 (95% CI 1.14 to 1.56), p<0.001) and higher rates of the recurrent IS (aHR 1.33 (95% CI 1.12 to 1.58)). Reduced eGFR was not associated with ICrH risk (aHR 1.07 (95% CI 0.70 to 1.60)). eGFR was also associated with microbleed presence (adjusted OR, aOR 1.14 (95% CI 1.03 to 1.26)) and severity (aOR 1.17 (95% CI 1.06 to 1.29)). Compared with having no microbleeds, eGFR was lower in those with strictly lobar microbleeds (adjusted mean difference (aMD) -2.10 mL/min/1.73 cm2 (95% CI -3.39 to -0.81)) and mixed microbleeds (aMD -2.42 (95% CI -3.70 to -1.15)), but not strictly deep microbleeds (aMD -0.67 (95% CI -1.85 to 0.51)). CONCLUSIONS In patients with IS or transient ischaemic attack, impaired kidney function was associated with a higher risk of recurrent stroke and higher microbleeds burden, compared with those with normal kidney function. Further research is needed to investigate potential additional measures for secondary prevention in this high-risk group.
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Affiliation(s)
- Jeremy Molad
- Department of Stroke & Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Kaori Miwa
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Philip S Nash
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | - Gareth Ambler
- Department of Statistical Science, University College London, London, UK
| | - Jonathan Best
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | - Duncan Wilson
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | - Hen Hallevi
- Department of Stroke & Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | | | | | - Houwei Du
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | | | - Hans R Jäger
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | | | - Martina B Goeldlin
- Department of Neurology, University Hospital Inselspital Bern, University of Bern, Bern, Switzerland
| | - Morin Beyeler
- Department of Neurology, University Hospital Inselspital Bern, University of Bern, Bern, Switzerland
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, New York, New York, USA
| | - Philipp Bücke
- Department of Neurology, University Hospital Inselspital Bern, University of Bern, Bern, Switzerland
| | - Marwan El-Koussy
- Institute of Diagnostic and Interventional Neuroradiology, Inselspital University Hospital Bern, Bern, Switzerland
| | - Heinrich Paul Mattle
- Department of Neurology, University Hospital Inselspital Bern, University of Bern, Bern, Switzerland
| | - Leonidas D Panos
- Department of Neurology, University Hospital Inselspital Bern, University of Bern, Bern, Switzerland
| | | | - Florian Dubost
- Biomedical Imaging Group, Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Werner Mess
- Department of Clinical Neurophysiology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Paul J Nederkoorn
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Masayuki Shiozawa
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Nicolas Christ
- Department of Neurology, University Hospital Wurzburg, Wurzburg, Germany
| | - Maximilian Bellut
- Department of Neurology, University Hospital Wurzburg, Wurzburg, Germany
| | - Sarah Gunkel
- Department of Neurology, University Hospital Wurzburg, Wurzburg, Germany
| | - Christopher Karayiannis
- Peninsula Clinical School, Peninsula Health, Monash University, Melbourne, Victoria, Australia
| | - John Van Ly
- Monash Health and Stroke and Ageing Research Group, Monash University, Clayton, Victoria, Australia
| | - Shaloo Singhal
- Monash Health and Stroke and Ageing Research Group, Monash University, Clayton, Victoria, Australia
| | - Lee-Anne Slater
- Diagnostic Imaging, Monash Health, Melbourne, Victoria, Australia
| | - Young Dae Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea (the Republic of)
| | - Tae-Jin Song
- Department of Neurology, Ewha Womans University, Seoul Hospital, Seoul, Korea (the Republic of)
| | - Keon-Joo Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (the Republic of)
| | - Jae-Sung Lim
- Department of Neurology, University of Ulsan College of Medicine, Songpa-gu, Korea (the Republic of)
| | - Hideo Hara
- Division of Neurology, Department of Internal Medicine, Saga University Faculty of Medicine, Saga, Japan
| | - Masashi Nishihara
- Department of Radiology, Saga University Faculty of Medicine, Saga, Japan
| | - Jun Tanaka
- Division of Neurology, Department of Internal Medicine, Saga University Faculty of Medicine, Saga, Japan
| | - Masaaki Yoshikawa
- Division of Neurology, Department of Internal Medicine, Saga University Faculty of Medicine, Saga, Japan
| | - Derya Selcuk Demirelli
- Department of Neurology, Sisli Hamidiye Etfal Teaching and Research Hospital, University of Health Sciences, Istanbul, Turkey
| | - Zeynep Tanriverdi
- Department of Neurology, Ministry of Health İzmir Katip Çelebi University Atatürk Education and Research Hospital, Izmir, Turkey
| | - Ender Uysal
- Department of Radiology, Saglik Bilimleri Universitesi, Istanbul, Turkey
| | | | - Francesca M Chappell
- UK Dementia Institute, University of Edinburgh Institute of Governance, Edinburgh, UK
| | - Stephen Makin
- Institute of Applied Health Sciences, University of Aberdeen, Old Perth Road, UK
| | - Henry Ka-Fung Mak
- Diagnostic Radiology, University of Hong Kong Li Ka Shing Faculty of Medicine, Hong Kong, Hong Kong
| | - Kay Cheong Teo
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Debbie Y K Wong
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Lisa Hert
- Neurology and Stroke Center, University Hospital Basel, Basel, Switzerland
| | - Marta Kubacka
- Stroke Center Klinik Hirslanden Zürich, University of Basel, Basel, Switzerland
| | - Philippe Lyrer
- Neurology and Stroke Center, University Hospital Basel, Basel, Switzerland
| | | | - Benjamin Wagner
- Neurology and Stroke Center, University Hospital Basel, Basel, Switzerland
| | - Annaelle Zietz
- Neurology and Stroke Center, University Hospital Basel, Basel, Switzerland
| | - Jill M Abrigo
- Department of Radiology & Interventional Radiology, The Chinese University of Hong Kong, HongKong, China
| | - Cyrus Cheng
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, Hong Kong
| | - Winnie C W Chu
- Department of Radiology & Interventional Radiology, The Chinese University of Hong Kong, HongKong, China
| | - Thomas W H Leung
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Suk Fung Tsang
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Brian Yiu
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - David J Seiffge
- Department of Neurology, University Hospital Inselspital Bern, University of Bern, Bern, Switzerland
| | - Urs Fischer
- Department of Neurology, University Hospital Inselspital Bern, University of Bern, Bern, Switzerland
| | - Simon Jung
- Department of Neurology, University Hospital Inselspital Bern, University of Bern, Bern, Switzerland
| | | | | | - Daniel Bos
- Radiology and Nuclear Medicine & Neurology, Erasmus MC, Rotterdam, The Netherlands
| | - Kazunori Toyoda
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Felix Fluri
- Department of Neurology, University Hospital Wurzburg, Wurzburg, Germany
| | - Thanh G Phan
- Monash Health and Stroke and Ageing Research Group, Monash University, Clayton, Victoria, Australia
| | - Velandai Srikanth
- Peninsula Clinical School, Peninsula Health, Monash University, Melbourne, Victoria, Australia
| | - Ji Hoe Heo
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea (the Republic of)
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (the Republic of)
| | - Yusuke Yakushiji
- Department of Neurology, Kansai Medical University Medical Center, Hirakata, Japan
| | | | - Eric E Smith
- Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Institute, University of Edinburgh Institute of Governance, Edinburgh, UK
| | - Kui Kai Lau
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Stefan T Engelter
- Neurology and Stroke Center, University Hospital Basel, Basel, Switzerland
- Neurology and Neurorehabilitation, Department of Geriatric Medicine Felix Platter, University of Basel, Basel, Switzerland
| | - Nils Peters
- Neurology and Stroke Center, University Hospital Basel, Basel, Switzerland
- Neurology and Neurorehabilitation, Department of Geriatric Medicine Felix Platter, University of Basel, Basel, Switzerland
| | - Yannie Soo
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - David C Wheeler
- Department of Renal Medicine, University College London, London, UK
| | - Robert J Simister
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | - Natan M Bornstein
- Department of Stroke & Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - David J Werring
- Comprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, UCL Queen Square Institute of Neurology, London, UK
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | - Einor Ben Assayag
- Department of Stroke & Neurology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
- Segol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
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Hamidizad Z, Kadkhodaee M, Kianian F, Ranjbaran M, Heidari F, Seifi B. Neuroprotective Effects of Sodium Nitroprusside on CKD-Induced Cognitive Dysfunction in Rats: Role of CBS and Nrf2/HO-1 Pathway. Neuromolecular Med 2025; 27:8. [PMID: 39775152 DOI: 10.1007/s12017-024-08828-8] [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: 11/11/2024] [Accepted: 12/26/2024] [Indexed: 01/11/2025]
Abstract
Chronic kidney disease (CKD) is a conceivable new risk factor for cognitive disorder and dementia. Uremic toxicity, oxidative stress, and peripheral-central inflammation have been considered important mediators of CKD-induced nervous disorders. Nitric oxide (NO) is a retrograde neurotransmitter in synapses, and has vital roles in intracellular signaling in neurons. This research aims to determine the effectiveness of NO in CKD-induced cognitive deficits by considering the nuclear factor-erythroid factor 2-related factor 2 (Nrf2)/ heme oxygenase-1 (HO-1) signaling pathway and the important roles of cystathionine beta-synthase (CBS, H2S producing enzyme). Forty rats were divided into four experimental groups: sham, five-sixth (5/6) nephrectomy (5/6Nx, CKD), CKD + NO donor (Sodium nitroprusside, SNP), CKD + SNP and a CBS inhibitor (amino-oxy acetic acid, AOAA). To assess the neurocognitive abilities, eleven weeks after 5/6Nx, behavioral tests (Novel object recognition test, Passive avoidance test, and Barnes maze test) were done. Twelfth week after 5/6Nx, blood urea nitrogen (BUN) and serum creatinine (sCr) levels, as well as the nuclear factor-erythroid factor 2-related factor 2 (Nrf2), heme oxygenase-1 (HO-1) expression levels and neuronal injury in the hippocampus and prefrontal cortex were assessed. As predicted, the levels of BUN and sCr (both P < 0.001) and neuronal injury in the hippocampus (P < 0.001 for CA1; CA3; DG) and prefrontal cortex (P < 0.001) increased in CKD rats as well as 5/6Nx induced reduction of Nrf2 (both P < 0.001) /HO-1(P < 0.001; P < 0.01 respectively) pathway activity in the hippocampus and prefrontal cortex in CKD rats. Moreover, CKD leads to cognitive disorder and memory loss (Novel object recognition test (NOR) (P < 0.001), Passive avoidance test (PA) (P < 0.001) and Barnes maze (BA) (Escape latency (P < 0.001); Error (P < 0.001)). SNP treatment significantly improved Nrf2 (both P < 0.001) /HO-1 (P < 0.001; P < 0.05 respectively) pathways and neuronal injury (P < 0.001 for CA1; CA3; DG) in the hippocampus and prefrontal cortex in CKD rats as well as enhanced learning and memory ability in CKD rats. However, ameliorating effects of SNP on cognitive disorder (NOR (P < 0.05), PA (P < 0.001) and BA (Escape latency (P < 0.05); Error (P < 0.001)) and Nrf2 (P < 0.01; P < 0.001 in the hippocampus and prefrontal cortex respectively) /HO-1 (P < 0.05 in both) signaling pathway activity were nullified by CBS inhibitor and H2S reduction. In conclusion, this study demonstrated that NO improved CKD-induced cognitive impairment and neuronal death which is may be depended to CBS activity and endogenous H2S levels.
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Affiliation(s)
- Zeinab Hamidizad
- Electrophysiology Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Physiology, Faculty of Medicine, Qom University of Medical Sciences, Qom, Iran
| | - Mehri Kadkhodaee
- Department of Physiology, Faculty of Medicine, Tehran University of Medical Sciences, Poorsina Ave, Tehran, Iran
| | - Farzaneh Kianian
- Department of Physiology, Faculty of Medicine, Tehran University of Medical Sciences, Poorsina Ave, Tehran, Iran
| | - Mina Ranjbaran
- Department of Physiology, Faculty of Medicine, Tehran University of Medical Sciences, Poorsina Ave, Tehran, Iran
| | - Fatemeh Heidari
- Department of Anatomy, School of Medicine, Qom University of Medical Sciences, Qom, Iran
| | - Behjat Seifi
- Electrophysiology Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Department of Physiology, Faculty of Medicine, Tehran University of Medical Sciences, Poorsina Ave, Tehran, Iran.
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Nash PS, Fandler-Höfler S, Ambler G, Zhang W, Ozkan H, Locatelli M, Du Y, Obergottsberger L, Wünsch G, Jäger HR, Enzinger C, Wheeler DC, Simister RJ, Gattringer T, Werring DJ. Associations of Cerebral Small Vessel Disease and Chronic Kidney Disease in Patients With Acute Intracerebral Hemorrhage: A Cross-Sectional Study. Neurology 2024; 103:e209540. [PMID: 38889380 PMCID: PMC11254447 DOI: 10.1212/wnl.0000000000209540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/15/2024] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Chronic kidney disease (CKD) may be associated with the pathogenesis and phenotype of cerebral small vessel disease (SVD), which is the commonest cause of intracerebral hemorrhage (ICH). The purpose of this study was to investigate the associations of CKD with ICH neuroimaging phenotype, volume, and location, total burden of small vessel disease, and its individual components. METHODS In 2 cohorts of consecutive patients with ICH evaluated with MRI, we investigated the frequency and severity of CKD based on established Kidney Disease Improving Global Outcomes criteria, requiring estimated glomerular filtration rate (eGFR) measurements <60 mL/min/1.732 ≥ 3 months apart to define CKD. MRI scans were rated for ICH neuroimaging phenotype (arteriolosclerosis, cerebral amyloid angiopathy, mixed location SVD, or cryptogenic ICH) and the presence of markers of SVD (white matter hyperintensities [WMHs], cerebral microbleeds [CMBs], lacunes, and enlarged perivascular spaces, defined according to the STandards for ReportIng Vascular changes on nEuroimaging criteria). We used multinomial, binomial logistic, and ordinal logistic regression models adjusted for age, sex, hypertension, and diabetes to account for possible confounding caused by shared risk factors of CKD and SVD. RESULTS Of 875 patients (mean age 66 years, 42% female), 146 (16.7%) had CKD. After adjusting for age, sex, and comorbidities, patients with CKD had higher rates of mixed SVD than those with eGFR >60 (relative risk ratio 2.39, 95% CI 1.16-4.94, p = 0.019). Severe WMHs, deep microbleeds, and lacunes were more frequent in patients with CKD, as was a higher overall SVD burden score (odds ratio 1.83 for each point on the ordinal scale, 95% CI 1.31-2.56, p < 0.001). Patients with eGFR ≤30 had more CMBs (median 7 [interquartile range 1-23] vs 2 [0-8] for those with eGFR >30, p = 0.007). DISCUSSION In patients with ICH, CKD was associated with SVD burden, a mixed SVD phenotype, and markers of arteriolosclerosis. Our findings indicate that CKD might independently contribute to the pathogenesis of arteriolosclerosis and mixed SVD, although we could not definitively account for the severity of shared risk factors. Longitudinal and experimental studies are, therefore, needed to investigate causal associations. Nevertheless, stroke clinicians should be aware of CKD as a potentially independent and modifiable risk factor of SVD.
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Affiliation(s)
- Philip S Nash
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Simon Fandler-Höfler
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Gareth Ambler
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Wenpeng Zhang
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Hatice Ozkan
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Martina Locatelli
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Yang Du
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Lena Obergottsberger
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Gerit Wünsch
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Hans Rolf Jäger
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Christian Enzinger
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - David C Wheeler
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Robert J Simister
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - Thomas Gattringer
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
| | - David J Werring
- From the UCL Stroke Research Centre (P.S.N., S.F.-H., W.Z., H.O., M.L., Y.D., R.J.S., D.J.W.), Department of Brain Repair and Rehabilitation, and Comprehensive Stroke Service (P.S.N., H.O., R.J.S., D.J.W.), National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (S.F.-H., L.O., C.E., T.G.), Medical University of Graz, Austria; Department of Statistical Science (G.A.), University College London, United Kingdom; Institute for Medical Informatics (G.W.), Statistics and Documentation, Medical University of Graz, Austria; Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit (H.R.J.), Department of Brain Repair and Rehabilitation, UCL Institute of Neurology; Department of Renal Medicine (D.C.W.), University College London, United Kingdom; and Division of Neuroradiology (T.G.), Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria
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4
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Abstract
Chronic kidney disease (CKD) is known to be associated with cognitive impairment, but the mechanisms that underlie this kidney–brain connection are unclear. A recent study provides evidence that CKD is an independent risk factor for cognitive decline due to cerebral small vessel disease.
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Affiliation(s)
- Wei Ling Lau
- Division of Nephrology, Department of Medicine, University of California, Irvine, Orange, CA, USA.
| | - Mark Fisher
- Department of Neurology, University of California, Irvine, Orange, CA, USA.
- Department of Pathology & Laboratory Medicine, University of California, Irvine, Orange, CA, USA.
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5
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Fang C, Lau WL, Sun J, Chang R, Vallejo A, Lee D, Liu J, Liu H, Hung YH, Zhao Y, Paganini-Hill A, Sumbria RK, Cribbs DH, Fisher M. Chronic kidney disease promotes cerebral microhemorrhage formation. J Neuroinflammation 2023; 20:51. [PMID: 36841828 PMCID: PMC9960195 DOI: 10.1186/s12974-023-02703-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/20/2023] [Indexed: 02/27/2023] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is increasingly recognized as a stroke risk factor, but its exact relationship with cerebrovascular disease is not well-understood. We investigated the development of cerebral small vessel disease using in vivo and in vitro models of CKD. METHODS CKD was produced in aged C57BL/6J mice using an adenine-induced tubulointerstitial nephritis model. We analyzed brain histology using Prussian blue staining to examine formation of cerebral microhemorrhage (CMH), the hemorrhagic component of small vessel disease and the neuropathological substrate of MRI-demonstrable cerebral microbleeds. In cell culture studies, we examined effects of serum from healthy or CKD patients and gut-derived uremic toxins on brain microvascular endothelial barrier. RESULTS CKD was induced in aged C57BL/6J mice with significant increases in both serum creatinine and cystatin C levels (p < 0.0001) without elevation of systolic or diastolic blood pressure. CMH was significantly increased and positively correlated with serum creatinine level (Spearman r = 0.37, p < 0.01). Moreover, CKD significantly increased Iba-1-positive immunoreactivity by 51% (p < 0.001), induced a phenotypic switch from resting to activated microglia, and enhanced fibrinogen extravasation across the blood-brain barrier (BBB) by 34% (p < 0.05). On analysis stratified by sex, the increase in CMH number was more pronounced in male mice and this correlated with greater creatinine elevation in male compared with female mice. Microglial depletion with PLX3397 diet significantly decreased CMH formation in CKD mice without affecting serum creatinine levels. Incubation of CKD serum significantly reduced transendothelial electrical resistance (TEER) (p < 0.01) and increased sodium fluorescein permeability (p < 0.05) across the endothelial monolayer. Uremic toxins (i.e., indoxyl sulfate, p-cresyl sulfate, and trimethylamine-N-oxide) in combination with urea and lipopolysaccharide induced a marked drop in TEER compared with the control group (p < 0.0001). CONCLUSIONS CKD promotes the development of CMH in aged mice independent of blood pressure but directly proportional to the degree of renal impairment. These effects of CKD are likely mediated in part by microglia and are associated with BBB impairment. The latter is likely related to gut-derived bacteria-dependent toxins classically associated with CKD. Overall, these findings demonstrate an important role of CKD in the development of cerebral small vessel disease.
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Affiliation(s)
- Chuo Fang
- Department of Neurology, University of California, Irvine, CA, USA
| | - Wei Ling Lau
- Department of Medicine, Division of Nephrology, University of California, Irvine, CA, USA
| | - Jiahong Sun
- Department of Biomedical and Pharmaceutical Sciences, School of Pharmacy, Chapman University, Irvine, CA, USA
| | - Rudy Chang
- Department of Biomedical and Pharmaceutical Sciences, School of Pharmacy, Chapman University, Irvine, CA, USA
| | - Adrian Vallejo
- Department of Neurology, University of California, Irvine, CA, USA
| | - Donghy Lee
- Department of Neurology, University of California, Irvine, CA, USA
| | - Jihua Liu
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Han Liu
- Department of Medicine, Division of Nephrology, University of California, Irvine, CA, USA
| | - Yu-Han Hung
- Department of Neurology, University of California, Irvine, CA, USA
| | - Yitong Zhao
- Department of Medicine, Division of Nephrology, University of California, Irvine, CA, USA
| | | | - Rachita K Sumbria
- Department of Neurology, University of California, Irvine, CA, USA
- Department of Biomedical and Pharmaceutical Sciences, School of Pharmacy, Chapman University, Irvine, CA, USA
| | - David H Cribbs
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Mark Fisher
- Department of Neurology, University of California, Irvine, CA, USA.
- Department of Pathology & Laboratory Medicine, University of California, Irvine, CA, USA.
- Department of Neurology, UC Irvine Medical Center, 101 The City Drive South, Shanbrom Hall (Building 55), Room 121, Orange, CA, 92868, USA.
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6
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Fang C, Magaki SD, Kim RC, Kalaria RN, Vinters HV, Fisher M. Arteriolar neuropathology in cerebral microvascular disease. Neuropathol Appl Neurobiol 2023; 49:e12875. [PMID: 36564356 DOI: 10.1111/nan.12875] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 11/14/2022] [Accepted: 12/13/2022] [Indexed: 12/25/2022]
Abstract
Cerebral microvascular disease (MVD) is an important cause of vascular cognitive impairment. MVD is heterogeneous in aetiology, ranging from universal ageing to the sporadic (hypertension, sporadic cerebral amyloid angiopathy [CAA] and chronic kidney disease) and the genetic (e.g., familial CAA, cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy [CADASIL] and cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy [CARASIL]). The brain parenchymal consequences of MVD predominantly consist of lacunar infarcts (lacunes), microinfarcts, white matter disease of ageing and microhaemorrhages. MVD is characterised by substantial arteriolar neuropathology involving ubiquitous vascular smooth muscle cell (SMC) abnormalities. Cerebral MVD is characterised by a wide variety of arteriolar injuries but only a limited number of parenchymal manifestations. We reason that the cerebral arteriole plays a dominant role in the pathogenesis of each type of MVD. Perturbations in signalling and function (i.e., changes in proliferation, apoptosis, phenotypic switch and migration of SMC) are prominent in the pathogenesis of cerebral MVD, making 'cerebral angiomyopathy' an appropriate term to describe the spectrum of pathologic abnormalities. The evidence suggests that the cerebral arteriole acts as both source and mediator of parenchymal injury in MVD.
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Affiliation(s)
- Chuo Fang
- Department of Neurology, University of California, Irvine Medical Center, 101 The City Drive South Shanbrom Hall (Building 55), Room 121, Orange, 92868, California, USA
| | - Shino D Magaki
- Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Ronald C Kim
- Department of Pathology & Laboratory Medicine, University of California, Irvine, Orange, California, USA
| | - Raj N Kalaria
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Harry V Vinters
- Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.,Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Mark Fisher
- Department of Neurology, University of California, Irvine Medical Center, 101 The City Drive South Shanbrom Hall (Building 55), Room 121, Orange, 92868, California, USA.,Department of Pathology & Laboratory Medicine, University of California, Irvine, Orange, California, USA
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7
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Wang S, Wang J, Dove A, Guo J, Yang W, Qi X, Bennett DA, Xu W. Association of impaired kidney function with dementia and brain pathologies: A community-based cohort study. Alzheimers Dement 2022. [PMID: 36571791 DOI: 10.1002/alz.12910] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 11/21/2022] [Accepted: 11/21/2022] [Indexed: 12/27/2022]
Abstract
INTRODUCTION The relationship between impaired kidney function (KF), dementia, and brain pathologies remains unclear. METHODS A total of 1354 dementia- and kidney disease-free participants including 895 with normal and 459 with impaired KF were followed from 2002 until 2020 (median [interquartile range]: 5 [2-9]) to detect incident dementia. KF was assessed at baseline and categorized as normal or impaired. Over the follow-up, 453 participants died and underwent autopsies for neuropathological assessment. RESULTS Compared to those with normal KF, the hazard ratios (95% confidence intervals [CIs]) of those with impaired KF was 1.48 (1.15, 1.90)/1.44 (1.10, 1.88) for dementia/Alzheimer's dementia. Furthermore, impaired KF was related to a significantly higher burden of cerebral amyloid angiopathy (CAA; odds ratio = 1.96, 95% CI: 1.17, 3.30), but not to other brain pathologies. DISCUSSION Impaired KF is associated with an increased risk of dementia and Alzheimer's dementia. CAA may underlie, in part, this association. HIGHLIGHTS Impaired kidney function (KF) was associated with higher dementia and Alzheimer's dementia risk. Impaired KF anticipated dementia and Alzheimer's dementia onset by more than 1.5 years. Impaired KF was significantly related to a higher burden of cerebral amyloid angiopathy (CAA) but not to other brain pathologies.
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Affiliation(s)
- Shuqi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition, and Public Health, Tianjin, China
| | - Jiao Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition, and Public Health, Tianjin, China
| | - Abigail Dove
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Jie Guo
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Wenzhe Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition, and Public Health, Tianjin, China
| | - Xiuying Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition, and Public Health, Tianjin, China
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Weili Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition, and Public Health, Tianjin, China.,Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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8
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Bikbov B, Soler MJ, Pešić V, Capasso G, Unwin R, Endres M, Remuzzi G, Perico N, Gansevoort R, Mattace-Raso F, Bruchfeld A, Figurek A, Hafez G. Albuminuria as a risk factor for mild cognitive impairment and dementia-what is the evidence? Nephrol Dial Transplant 2021; 37:ii55-ii62. [PMID: 34739540 PMCID: PMC8713154 DOI: 10.1093/ndt/gfab261] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Indexed: 01/02/2023] Open
Abstract
Kidney dysfunction can profoundly influence many organ systems, and recent evidence suggests a potential role for increased albuminuria in the development of mild cognitive impairment (MCI) or dementia. Epidemiological studies conducted in different populations have demonstrated that the presence of increased albuminuria is associated with a higher relative risk of MCI or dementia both in cross-sectional analyses and in studies with long-term follow-up. The underlying pathophysiological mechanisms of albuminuria's effect are as yet insufficiently studied, with several important knowledge gaps still present in a complex relationship with other MCI and dementia risk factors. Both the kidney and the brain have microvascular similarities that make them sensitive to endothelial dysfunction involving different mechanisms, including oxidative stress and inflammation. The exact substrate of MCI and dementia is still under investigation, however available experimental data indicate that elevated albuminuria and low glomerular filtration rate are associated with significant neuroanatomical declines in hippocampal function and grey matter volume. Thus, albuminuria may be critical in the development of cognitive impairment and its progression to dementia. In this review, we summarize the available evidence on albuminuria's link to MCI and dementia, point to existing gaps in our knowledge and suggest actions to overcome them. The major question of whether interventions that target increased albuminuria could prevent cognitive decline remains unanswered. Our recommendations for future research are aimed at helping to plan clinical trials and to solve the complex conundrum outlined in this review, with the ultimate goal of improving the lives of patients with chronic kidney disease.
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Affiliation(s)
- Boris Bikbov
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Maria José Soler
- Division of Nephrology Autonomous University of Barcelona, Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Vesna Pešić
- Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia
| | - Giovambattista Capasso
- Department Translational Medical Sciences, Univ. Campania “L. Vanvitelli”, Naples, Italy
- BIOGEM, Insititute Molecular Biology and Genetics, Ariano Irpino, Italy
| | - Robert Unwin
- Department of Renal Medicine, University College London, London, UK
| | - Matthias Endres
- Klinik und Hochschulambulanz für Neurologie, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Giuseppe Remuzzi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Norberto Perico
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Ron Gansevoort
- Department of Internal Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Francesco Mattace-Raso
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Annette Bruchfeld
- Unit of Renal Medicine, Linköping and Karolinska University Hospital, Stockholm, Sweden
| | - Andreja Figurek
- Institute of Anatomy, University of Zurich, Zurich, Switzerland
| | - Gaye Hafez
- Department of Pharmacology, Faculty of Pharmacy, Altinbas University, Istanbul, Turkey
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9
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Brasil S, Solla DJF, Nogueira RDC, Teixeira MJ, Malbouisson LMS, Paiva WDS. A Novel Noninvasive Technique for Intracranial Pressure Waveform Monitoring in Critical Care. J Pers Med 2021; 11:1302. [PMID: 34945774 PMCID: PMC8707681 DOI: 10.3390/jpm11121302] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND We validated a new noninvasive tool (B4C) to assess intracranial pressure waveform (ICPW) morphology in a set of neurocritical patients, correlating the data with ICPW obtained from invasive catheter monitoring. MATERIALS AND METHODS Patients undergoing invasive intracranial pressure (ICP) monitoring were consecutively evaluated using the B4C sensor. Ultrasound-guided manual internal jugular vein (IJV) compression was performed to elevate ICP from the baseline. ICP values, amplitudes, and time intervals (P2/P1 ratio and time-to-peak [TTP]) between the ICP and B4C waveform peaks were analyzed. RESULTS Among 41 patients, the main causes for ICP monitoring included traumatic brain injury, subarachnoid hemorrhage, and stroke. Bland-Altman's plot indicated agreement between the ICPW parameters obtained using both techniques. The strongest Pearson's correlation for P2/P1 and TTP was observed among patients with no cranial damage (r = 0.72 and 0.85, respectively) to the detriment of those who have undergone craniotomies or craniectomies. P2/P1 values of 1 were equivalent between the two techniques (area under the receiver operator curve [AUROC], 0.9) whereas B4C cut-off 1.2 was predictive of intracranial hypertension (AUROC 0.9, p < 000.1 for ICP > 20 mmHg). CONCLUSION B4C provided biometric amplitude ratios correlated with ICPW variation morphology and is useful for noninvasive critical care monitoring.
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Affiliation(s)
- Sérgio Brasil
- Department of Neurology, School of Medicine, University of São Paulo, São Paulo 01246, Brazil; (D.J.F.S.); (R.d.C.N.); (M.J.T.); (W.d.S.P.)
| | - Davi Jorge Fontoura Solla
- Department of Neurology, School of Medicine, University of São Paulo, São Paulo 01246, Brazil; (D.J.F.S.); (R.d.C.N.); (M.J.T.); (W.d.S.P.)
| | - Ricardo de Carvalho Nogueira
- Department of Neurology, School of Medicine, University of São Paulo, São Paulo 01246, Brazil; (D.J.F.S.); (R.d.C.N.); (M.J.T.); (W.d.S.P.)
| | - Manoel Jacobsen Teixeira
- Department of Neurology, School of Medicine, University of São Paulo, São Paulo 01246, Brazil; (D.J.F.S.); (R.d.C.N.); (M.J.T.); (W.d.S.P.)
| | | | - Wellingson da Silva Paiva
- Department of Neurology, School of Medicine, University of São Paulo, São Paulo 01246, Brazil; (D.J.F.S.); (R.d.C.N.); (M.J.T.); (W.d.S.P.)
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10
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Carvalho LCDB, Velozo MP, Coelho VA, Custodio MR, Dalboni MA, Moysés RMA, Elias RM. Low Levels of Klotho are Associated with Intracranial Vascular Calcification in Patients with CKD. J Stroke Cerebrovasc Dis 2021; 30:105745. [PMID: 33903015 DOI: 10.1016/j.jstrokecerebrovasdis.2021.105745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 03/07/2021] [Indexed: 10/21/2022] Open
Affiliation(s)
| | - Mariana P Velozo
- Department of Medicine, Division of Nephrology, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Venceslau A Coelho
- Department of Medicine, Division of Geriatric, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Melani R Custodio
- Department of Medicine, Division of Nephrology, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | | | - Rosa M A Moysés
- Department of Medicine, Division of Nephrology, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Rosilene M Elias
- Department of Post-Graduation, Universidade Nove de Julho (UNINOVE), Sao Paulo, SP, Brazil; Department of Medicine, Division of Nephrology, Hospital das Clinicas HCFMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil.
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