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Sargurupremraj M. Genetic Architecture of Neurological Disorders and Their Endophenotypes: Insights from Genetic Association Studies. Curr Top Behav Neurosci 2024. [PMID: 39138743 DOI: 10.1007/7854_2024_513] [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: 08/15/2024]
Abstract
Population-scale genetic association studies of complex neurologic diseases have identified the underlying genetic architecture as multifactorial. Despite the study sample sizes reaching the millions, the identified disease-related genes explain only a small fraction of the phenotypic variance. Notable advancements in statistical methods now enable researchers to gain insights even from genomic regions where genotype-phenotype associations do not reach statistical significance. Such studies confirm a highly interconnected molecular network comprising a core group of genes directly involved in the disease process, alongside an expanded peripheral network, each contributing a small but potentially important (modulatory) effect. Additionally, causal inference methods, utilizing genetic instruments, have shed light on putative causal links between risk factors and clinical endpoints. In light of the pervasive genetic overlap or pleiotropy, however, caution is warranted in interpreting causal relationships inferred from these analyses. In this chapter, I will introduce the genetic association model, provide insights into the current state of genetic association studies, and discuss potential future directions.
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Affiliation(s)
- Muralidharan Sargurupremraj
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA.
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Zoccali C, Capasso G. Genetic biomarkers of cognitive impairment and dementia of potential interest in CKD patients. J Nephrol 2024:10.1007/s40620-024-02006-6. [PMID: 38970746 DOI: 10.1007/s40620-024-02006-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 06/15/2024] [Indexed: 07/08/2024]
Abstract
This review discusses genetic variants associated with cognitive dysfunction in chronic kidney disease (CKD) patients, emphasising the limited research in this area. Four studies have explored genetic markers of cognitive dysfunction in CKD, with findings suggesting shared genetic biomarkers between Alzheimer's Disease and CKD.Because of the limited specific research on genetic markers of cognitive dysfunction and dementia in CKD, we extracted data from the current literature studies on genetic markers in the general population that may be relevant to the CKD population. These markers include Apolipoprotein E (APOE), Complement Receptor 1 (CR1), Clusterin (CLU), Sortilin-related receptor 1 (SORL1), Catechol-O-methyltransferase (COMT), and Brain-derived neurotrophic factor (BDNF), all of which are known to be associated with cognitive dysfunction and dementia in other populations. These genes play various roles in lipid metabolism, inflammation, Aβ clearance, and neuronal function, making them potential candidates for studying cognitive decline in CKD patients.CKD-specific research is needed to understand the role of these genetic markers in CKD-related cognitive dysfunction. Investigating how these genes influence cognitive decline in CKD patients could provide valuable insights into early detection, targeted interventions, and personalised treatment strategies. Overall, genetic studies to enhance our understanding and management of cognitive dysfunction in CKD represent a clinical research priority in this population.
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Affiliation(s)
- Carmine Zoccali
- Renal Research Institute, New York, USA.
- Institute of Molecular Biology and Genetics (Biogem), Ariano Irpino, Italy.
- Associazione Ipertensione Nefrologia Trapianto Renale (IPNET), c/o Nefrologia, Grande Ospedale Metropolitano, Reggio Calabria, Italy.
| | - Giovambattista Capasso
- Institute of Molecular Biology and Genetics (Biogem), Ariano Irpino, Italy
- Department of Translational Medical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
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Shan Y, Zhang J, Lu Y, Liao J, Liu Y, Dai L, Li J, Song C, Su G, Hägg S, Xiong Z, Nitsch D, Carrero JJ, Huang X. Kidney Function Measures and Mortality: A Mendelian Randomization Study. Am J Kidney Dis 2024; 83:772-783.e1. [PMID: 38151225 PMCID: PMC11116063 DOI: 10.1053/j.ajkd.2023.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 10/03/2023] [Accepted: 10/20/2023] [Indexed: 12/29/2023]
Abstract
RATIONALE & OBJECTIVE Individuals with a low estimated glomerular filtration rate (eGFR) are at a high risk of death. However, the causes underpinning this association are largely uncertain. This study aimed to assess the causal relationship of low eGFR with all-cause and cause-specific mortality. STUDY DESIGN Retrospective cohort study incorporating Mendelian randomization (MR). SETTING & PARTICIPANTS Individual-level data from 436,214 White participants (54.3% female; aged 56.8±8.0 years) included in the UK Biobank. EXPOSURES eGFR estimated using cystatin C (eGFRcyst). OUTCOMES The outcomes of interest included all-cause mortality, cardiovascular mortality, cancer mortality, infection mortality, and other-cause mortality. ANALYTICAL APPROACH Cox proportional hazards analysis for the conventional observational analyses; linear and nonlinear MR analyses implemented using genetic allele scores as instrumental variables representing kidney function to estimate the effect of kidney function on the survival outcomes. RESULTS During a median follow-up of 12.1 years, there were 30,489 deaths, 6,098 of which were attributed to cardiovascular events, 15,538 to cancer, 1,516 to infection, and 7,227 to other events. In the conventional observational analysis, eGFRcyst exhibited a nonlinear association with all the outcomes. MR analysis suggested that a genetically predicted lower eGFRcyst was linearly associated with a higher rate of cardiovascular mortality (HR, 1.43; 95% CI, 1.18-1.75) across the entire measurement range (every 10-mL/min/1.73m2 decrement). Nonetheless, no causal associations between eGFRcyst and all-cause mortality (HR, 1.07; 95% CI, 0.98-1.17) or any types of noncardiovascular mortality were detected. LIMITATIONS Potential misclassification of the actual cause of death, a nonrepresentative sample, and potential error in the interpretation of the magnitude of associations generated in MR analyses. CONCLUSIONS These findings suggest a potential causal association between low eGFR and cardiovascular mortality in the general population, but no causal relationship with all-cause mortality or noncardiovascular mortality was observed. Further studies in other populations are warranted to confirm these findings. PLAIN-LANGUAGE SUMMARY This study investigated the existence of a causal relationship between lower kidney function and death of different causes. Using data from 436,214 people in the United Kingdom, we applied conventional statistical analyses and those incorporating genetic data to implement Mendelian randomization, an approach that estimates causal associations. The observational analysis showed a nonlinear association between kidney function and various types of mortality outcomes. However, Mendelian randomization analysis suggested a linear increase in the risk of cardiovascular mortality with lower kidney function, but no causal link between the level of kidney function and all-cause or noncardiovascular mortality was identified. Managing kidney health may help reduce cardiovascular mortality, but caution is needed in interpreting the magnitudes of these results. Further validation in other populations and in those with advanced kidney failure is needed.
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Affiliation(s)
- Ying Shan
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Jingwen Zhang
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | | | - Jinlan Liao
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | | | - Liang Dai
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Jing Li
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Congying Song
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Guobin Su
- Department of Nephrology, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital, The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Sara Hägg
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Zuying Xiong
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Dorothea Nitsch
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Juan Jesus Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; Division of Nephrology, Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
| | - Xiaoyan Huang
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China; Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, China.
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Li N, Li YL, Li LT. Development and validation of a nomogram predictive model for cerebral small vessel disease: a comprehensive retrospective analysis. Front Neurol 2024; 14:1340492. [PMID: 38259650 PMCID: PMC10801164 DOI: 10.3389/fneur.2023.1340492] [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: 11/18/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024] Open
Abstract
Background Cerebral small vessel disease (CSVD) is a significant contributor to stroke, intracerebral hemorrhages, and vascular dementia, particularly in the elderly. Early diagnosis remains challenging. This study aimed to develop and validate a novel nomogram for the early diagnosis of cerebral small vessel disease (CSVD). We focused on integrating cerebrovascular risk factors and blood biochemical markers to identify individuals at high risk of CSVD, thus enabling early intervention. Methods In a retrospective study conducted at the neurology department of the Affiliated Hospital of Hebei University from January 2020 to June 2022, 587 patients were enrolled. The patients were randomly divided into a training set (70%, n = 412) and a validation set (30%, n = 175). The nomogram was developed using multivariable logistic regression analysis, with variables selected through the Least Absolute Shrinkage and Selection Operator (LASSO) technique. The performance of the nomogram was evaluated based on the area under the receiver operating characteristic curve (AUC-ROC), calibration plots, and decision curve analysis (DCA). Results Out of 88 analyzed biomarkers, 32 showed significant differences between the CSVD and non-CSVD groups. The LASSO regression identified 12 significant indicators, with nine being independent clinical predictors of CSVD. The AUC-ROC values of the nomogram were 0.849 (95% CI: 0.821-0.894) in the training set and 0.863 (95% CI: 0.810-0.917) in the validation set, indicating excellent discriminative ability. Calibration plots demonstrated good agreement between predicted and observed probabilities in both sets. DCA showed that the nomogram had significant clinical utility. Conclusions The study successfully developed a nomogram predictive model for CSVD, incorporating nine clinical predictive factors. This model offers a valuable tool for early identification and risk assessment of CSVD, potentially enhancing clinical decision-making and patient outcomes.
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Affiliation(s)
- Ning Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China
| | - Ying-lei Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Emergency Medicine, Baoding First Central Hospital, Baoding, China
| | - Li-tao Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Hebei General Hospital, Shijiazhuang, China
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Kelly DM, Georgakis MK, Franceschini N, Blacker D, Viswanathan A, Anderson CD. Interplay Between Chronic Kidney Disease, Hypertension, and Stroke: Insights From a Multivariable Mendelian Randomization Analysis. Neurology 2023; 101:e1960-e1969. [PMID: 37775316 PMCID: PMC10662984 DOI: 10.1212/wnl.0000000000207852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 07/31/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Chronic kidney disease (CKD) increases the risk of stroke, but the extent through which this association is mediated by hypertension is unknown. We leveraged large-scale genetic data to explore causal relationships between CKD, hypertension, and cerebrovascular disease phenotypes. METHODS We used data from genome-wide association studies of European ancestry to identify genetic proxies for kidney function (CKD diagnosis, estimated glomerular filtration rate [eGFR], and urinary albumin-to-creatinine ratio [UACR]), systolic blood pressure (SBP), and cerebrovascular disease (ischemic stroke and its subtypes and intracerebral hemorrhage). We then conducted univariable, multivariable, and mediation Mendelian randomization (MR) analyses to investigate the effect of kidney function on stroke risk and the proportion of this effect mediated through hypertension. RESULTS Univariable MR revealed associations between genetically determined lower eGFR and risk of all stroke (odds ratio [OR] per 1-log decrement in eGFR, 1.77; 95% CI 1.31-2.40; p < 0.001), ischemic stroke (OR 1.81; 95% CI 1.31-2.51; p < 0.001), and most strongly with large artery stroke (LAS) (OR 3.00; 95% CI 1.33-6.75; p = 0.008). These associations remained significant in the multivariable MR analysis, controlling for SBP (OR 1.98; 95% CI 1.39-2.82; p < 0.001 for all stroke; OR 2.16; 95% CI 1.48-3.17; p < 0.001 for ischemic stroke; OR 4.35; 95% CI 1.84-10.27; p = 0.001 for LAS), with only a small proportion of the total effects mediated by SBP (6.5% [0.7%-16.8%], 6.6% [0.8%-18.3%], and 7.2% [0.5%-24.8%], respectively). Total, direct and indirect effect estimates were similar across a number of sensitivity analyses (weighted median, MR-Egger regression). DISCUSSION Our results demonstrate an independent causal effect of impaired kidney function, as assessed by decreased eGFR, on stroke risk, particularly LAS, even when controlled for SBP. Targeted prevention of kidney disease could lower atherosclerotic stroke risk independent of hypertension.
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Affiliation(s)
- Dearbhla M Kelly
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA.
| | - Marios K Georgakis
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA
| | - Nora Franceschini
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA
| | - Deborah Blacker
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA
| | - Anand Viswanathan
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA
| | - Christopher D Anderson
- From the J. Philip Kistler Stroke Research Center (D.M.K., A.V.), Department of Neurology, Massachusetts General Hospital, Harvard Medical School; Program in Medical and Population Genetics (D.M.K., M.K.G., C.D.A.), Broad Institute of Harvard and the Massachusetts Institute of Technology, Boston; Institute for Stroke and Dementia Research (M.K.G.), University Hospital of LMU Munich, Germany; McCance Center for Brain Health (M.K.G., C.D.A.), Massachusetts General Hospital, Boston; Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill; Department of Psychiatry (D.B.), Massachusetts General Hospital, Harvard Medical School; Department of Epidemiology (D.B.), Harvard T.H. Chan School of Public Health; and Department of Neurology (C.D.A.), Brigham and Women's Hospital, Boston, MA
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Ren F, Jin Q, Jin Q, Qian Y, Ren X, Liu T, Zhan Y. Genetic evidence supporting the causal role of gut microbiota in chronic kidney disease and chronic systemic inflammation in CKD: a bilateral two-sample Mendelian randomization study. Front Immunol 2023; 14:1287698. [PMID: 38022507 PMCID: PMC10652796 DOI: 10.3389/fimmu.2023.1287698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Background The association of gut microbiota (GM) and chronic kidney disease (CKD), and the relevancy of GM and chronic systemic inflammation in CKD, were revealed on the basis of researches on gut-kidney axis in previous studies. However, their causal relationships are still unclear. Objective To uncover the causal relationships between GM and CKD, as well as all known GM from eligible statistics and chronic systemic inflammation in CKD, we performed two-sample Mendelian randomization (MR) analysis. Materials and methods We acquired the latest and most comprehensive summary statistics of genome-wide association study (GWAS) from the published materials of GWAS involving GM, CKD, estimated glomerular filtration rate (eGFR), c-reactive protein (CRP) and urine albumin creatine ratio (UACR). Subsequently, two-sample MR analysis using the inverse-variance weighted (IVW) method was used to determine the causality of exposure and outcome. Based on it, additional analysis and sensitivity analysis verified the significant results, and the possibility of reverse causality was also assessed by reverse MR analysis during this study. Results At the locus-wide significance threshold, IVW method and additional analysis suggested that the protective factors for CKD included family Lachnospiraceae (P=0.049), genus Eubacterium eligens group (P=0.002), genus Intestinimonas (P=0.009), genus Streptococcu (P=0.003) and order Desulfovibrionales (P=0.001). Simultaneously, results showed that genus LachnospiraceaeUCG010 (P=0.029) was a risk factor for CKD. Higher abundance of genus Desulfovibrio (P=0.048) was correlated with higher eGFR; higher abundance of genus Parasutterella (P=0.018) was correlated with higher UACR; higher abundance of class Negativicutes (P=0.003), genus Eisenbergiella (P=0.021), order Selenomonadales (P=0.003) were correlated with higher CRP levels; higher abundance of class Mollicutes (0.024), family Prevotellaceae (P=0.030), phylum Tenericutes (P=0.024) were correlated with lower levels of CRP. No significant pleiotropy or heterogeneity was found in the results of sensitivity analysis, and no significant causality was found in reverse MR analysis. Conclusion This study highlighted associations within gut-kidney axis, and the causal relationships between GM and CKD, as well as GM and chronic systemic inflammation in CKD were also revealed. Meanwhile, we expanded specific causal gut microbiota through comprehensive searches. With further studies for causal gut microbiota, they may have the potential to be new biomarkers for targeted prevention of CKD and chronic systemic inflammation in CKD.
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Affiliation(s)
- Feihong Ren
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Qiubai Jin
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qi Jin
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yiyun Qian
- Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China
| | - Xuelei Ren
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Tongtong Liu
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yongli Zhan
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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7
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Greco F, Quarta LG, Parizel PM, Zobel BB, Quattrocchi CC, Mallio CA. Relationship between chronic kidney disease and cerebral white matter hyperintensities: a systematic review. Quant Imaging Med Surg 2023; 13:7596-7606. [PMID: 37969631 PMCID: PMC10644141 DOI: 10.21037/qims-22-707] [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: 07/05/2022] [Accepted: 11/21/2022] [Indexed: 11/17/2023]
Abstract
Background This systematic review summarizes available evidence on the relationship between white matter hyperintensities (WMH) volumetric quantification on brain MRI scans and chronic kidney disease (CKD). Methods The literature search was performed in March 2022 using MEDLINE PubMed Central, Scopus and Web of Science - Publons as search engines. Relevant articles investigating, with a quantitative volumetric approach, the link between WMH and CKD patients were selected. Results The database search strategy found 987 articles, after excluding duplicates, the titles and abstracts of the remaining 320 articles were examined. Subsequently 276 articles were excluded as they were not relevant to the topic. Of the 44 articles evaluated for eligibility, 36 were excluded because the quantitative analysis of WMH was not volumetric. Finally, 8 articles were included in this systematic review. Conclusions Literature on this topic is extremely heterogeneous in terms of methodology and samples. However, evidence shows that there is a relationship between CKD and WMH volume of the brain. We recommend that quantifiable biomarkers such as estimated glomerular filtration rate (eGFR) and urine albumin to creatinine ratio (UACR) should be included in studies dealing with cerebrovascular disease. The biological and molecular mechanisms underlying cerebrovascular damage in patients with chronic renal failure deserve to be further explored.
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Affiliation(s)
- Federico Greco
- Diagnostica Per Immagini Territoriale Aziendale, Cittadella Della Salute Azienda Sanitaria Locale Di Lecce, Piazza Filippo Bottazzi, Lecce, Italy
| | - Luigi Giuseppe Quarta
- Diagnostica Per Immagini Territoriale Aziendale, Cittadella Della Salute Azienda Sanitaria Locale Di Lecce, Piazza Filippo Bottazzi, Lecce, Italy
| | - Paul M. Parizel
- David Hartley Chair of Radiology, Royal Perth Hospital & University of Western Australia, Perth, Western Australia, Australia
| | - Bruno Beomonte Zobel
- Unit of Diagnostic Imaging, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, Rome, Italy
| | - Carlo Cosimo Quattrocchi
- Unit of Diagnostic Imaging, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, Rome, Italy
| | - Carlo Augusto Mallio
- Unit of Diagnostic Imaging, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, Rome, Italy
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8
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Georgiou AN, Zagkos L, Markozannes G, Chalitsios CV, Asimakopoulos AG, Xu W, Wang L, Mesa‐Eguiagaray I, Zhou X, Loizidou EM, Kretsavos N, Theodoratou E, Gill D, Burgess S, Evangelou E, Tsilidis KK, Tzoulaki I. Appraising the Causal Role of Risk Factors in Coronary Artery Disease and Stroke: A Systematic Review of Mendelian Randomization Studies. J Am Heart Assoc 2023; 12:e029040. [PMID: 37804188 PMCID: PMC7615320 DOI: 10.1161/jaha.122.029040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/27/2023] [Indexed: 10/09/2023]
Abstract
BACKGROUND Mendelian randomization (MR) offers a powerful approach to study potential causal associations between exposures and health outcomes by using genetic variants associated with an exposure as instrumental variables. In this systematic review, we aimed to summarize previous MR studies and to evaluate the evidence for causality for a broad range of exposures in relation to coronary artery disease and stroke. METHODS AND RESULTS MR studies investigating the association of any genetically predicted exposure with coronary artery disease or stroke were identified. Studies were classified into 4 categories built on the significance of the main MR analysis results and its concordance with sensitivity analyses, namely, robust, probable, suggestive, and insufficient. Studies reporting associations that did not perform any sensitivity analysis were classified as nonevaluable. We identified 2725 associations eligible for evaluation, examining 535 distinct exposures. Of them, 141 were classified as robust, 353 as probable, 110 as suggestive, and 926 had insufficient evidence. The most robust associations were observed for anthropometric traits, lipids, and lipoproteins and type 2 diabetes with coronary artery; disease and clinical measurements with coronary artery disease and stroke; and thrombotic factors with stroke. CONCLUSIONS Despite the large number of studies that have been conducted, only a limited number of associations were supported by robust evidence. Approximately half of the studies reporting associations presented an MR sensitivity analysis along with the main analysis that further supported the causality of associations. Future research should focus on more thorough assessments of sensitivity MR analyses and further assessments of mediation effects or nonlinearity of associations.
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Affiliation(s)
- Andrea N. Georgiou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Loukas Zagkos
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Georgios Markozannes
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Christos V. Chalitsios
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | | | - Wei Xu
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | - Lijuan Wang
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | | | - Xuan Zhou
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
| | - Eleni M. Loizidou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Biobank Cyprus Center of Excellence in Biobanking and Biomedical ResearchUniversity of CyprusNicosiaCyprus
| | - Nikolaos Kretsavos
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Evropi Theodoratou
- Centre for Global Health, Usher InstituteThe University of EdinburghEdinburghUK
- Cancer Research UK Edinburgh Centre, Institute of Genetics and CancerThe University of EdinburghEdinburghUK
| | - Dipender Gill
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Medical Research Council Biostatistics UnitUniversity of CambridgeCambridgeUK
| | - Stephen Burgess
- Medical Research Council Biostatistics UnitUniversity of CambridgeCambridgeUK
- Cardiovascular Epidemiology UnitUniversity of CambridgeCambridgeUK
| | - Evangelos Evangelou
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Department of Biomedical Research, Institute of Molecular Biology and BiotechnologyFoundation for Research and Technology‐HellasIoanninaGreece
| | - Konstantinos K. Tsilidis
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
| | - Ioanna Tzoulaki
- Department of Epidemiology and BiostatisticsSchool of Public Health, Imperial College LondonLondonUK
- Centre for Systems Biology, Biomedical Research FoundationAcademy of AthensAthensGreece
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9
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Bakshi A, Jefferis J, Wolfe R, Wetmore JB, McNeil JJ, Murray AM, Polkinghorne KR, Mallett A, Lacaze P. Association of polygenic scores with chronic kidney disease phenotypes in a longitudinal study of older adults. Kidney Int 2023; 103:1156-1166. [PMID: 37001602 PMCID: PMC10200771 DOI: 10.1016/j.kint.2023.03.017] [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: 08/01/2022] [Revised: 02/09/2023] [Accepted: 03/07/2023] [Indexed: 03/31/2023]
Abstract
Risk of chronic kidney disease (CKD) is influenced by environmental and genetic factors and increases sharply in individuals 70 years and older. Polygenic scores (PGS) for kidney disease-related traits have shown promise but require validation in well-characterized cohorts. Here, we assessed the performance of recently developed PGSs for CKD-related traits in a longitudinal cohort of healthy older individuals enrolled in the Australian ASPREE randomized controlled trial of daily low-dose aspirin with CKD risk at baseline and longitudinally. Among 11,813 genotyped participants aged 70 years or more with baseline eGFR measures, we tested associations between PGSs and measured eGFR at baseline, clinical phenotype of CKD, and longitudinal rate of eGFR decline spanning up to six years of follow-up per participant. A PGS for eGFR was associated with baseline eGFR, with a significant decrease of 3.9 mL/min/1.73m2 (95% confidence interval -4.17 to -3.68) per standard deviation (SD) increase of the PGS. This PGS, as well as a PGS for CKD stage 3 were both associated with higher risk of baseline CKD stage 3 in cross-sectional analysis (Odds Ratio 1.75 per SD, 95% confidence interval 1.66-1.85, and Odds Ratio 1.51 per SD, 95% confidence interval 1.43-1.59, respectively). Longitudinally, two separate PGSs for eGFR slope were associated with significant kidney function decline during follow-up. Thus, our study demonstrates that kidney function has a considerable genetic component in older adults, and that new PGSs for kidney disease-related phenotypes may have potential utility for CKD risk prediction in advanced age.
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Affiliation(s)
- Andrew Bakshi
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Julia Jefferis
- Department of Nephrology, Princess Alexandra Hospital, Brisbane, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | | | - James B. Wetmore
- Chronic Disease Research Group, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA
- Division of Nephrology, Hennepin Healthcare, Minneapolis, Minnesota, USA
| | - John J McNeil
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Anne M. Murray
- Geriatric Division, Department of Medicine, Hennepin Healthcare Minneapolis, Minnesota, USA
- Medical Director, Berman Centre for Clinical Research, Hennepin Healthcare Research Institute, Minneapolis, USA
- Professor of Medicine and Geriatrics, Adjunct Neurology, University of Minnesota
| | - Kevan R. Polkinghorne
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Nephrology, Monash Medical Centre, Monash Health, Melbourne, Victoria, Australia
| | - Andrew Mallett
- Institute for Molecular Bioscience and Faculty of Medicine, The University of Queensland, St Lucia, QLD, Australia
- Department of Renal Medicine, Townsville University Hospital, Douglas, QLD, Australia
- College of Medicine and Dentistry, James Cook University, Douglas, QLD
| | - Paul Lacaze
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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10
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Myserlis EP, Georgakis MK, Demel SL, Sekar P, Chung J, Malik R, Hyacinth HI, Comeau ME, Falcone G, Langefeld CD, Rosand J, Woo D, Anderson CD. A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage. Stroke 2023; 54:973-982. [PMID: 36799223 PMCID: PMC10050100 DOI: 10.1161/strokeaha.122.041701] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 01/11/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND Intracerebral hemorrhage (ICH) has an estimated heritability of 29%. We developed a genomic risk score for ICH and determined its predictive power in comparison to standard clinical risk factors. METHODS We combined genome-wide association data from individuals of European ancestry for ICH and related traits in a meta-genomic risk score ([metaGRS]; 2.6 million variants). We tested associations with ICH and its predictive performance in addition to clinical risk factors in a held-out validation dataset (842 cases and 796 controls). We tested associations with risk of incident ICH in the population-based UK Biobank cohort (486 784 individuals, 1526 events, median follow-up 11.3 years). RESULTS One SD increment in the metaGRS was significantly associated with 31% higher odds for ICH (95% CI, 1.16-1.48) in age-, sex- and clinical risk factor-adjusted models. The metaGRS identified individuals with almost 5-fold higher odds for ICH in the top score percentile (odds ratio, 4.83 [95% CI, 1.56-21.2]). Predictive models for ICH incorporating the metaGRS in addition to clinical predictors showed superior performance compared to the clinical risk factors alone (c-index, 0.695 versus 0.686). The metaGRS showed similar associations for lobar and nonlobar ICH, independent of the known APOE risk locus for lobar ICH. In the UK Biobank, the metaGRS was associated with higher risk of incident ICH (hazard ratio, 1.15 [95% CI, 1.09-1.21]). The associations were significant within both a relatively high-risk population of antithrombotic medications users, as well as among a relatively low-risk population with a good control of vascular risk factors and no use of anticoagulants. CONCLUSIONS We developed and validated a genomic risk score that predicts lifetime risk of ICH beyond established clinical risk factors among individuals of European ancestry. Whether implementation of the score in risk prognostication models for high-risk populations, such as patients under antithrombotic treatment, could improve clinical decision making should be explored in future studies.
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Affiliation(s)
- Evangelos Pavlos Myserlis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Medical University of South Carolina, Charleston, SC, USA
| | - Marios K. Georgakis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Stacie L. Demel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Padmini Sekar
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jaeyoon Chung
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Hyacinth I. Hyacinth
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Mary E. Comeau
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Guido Falcone
- Division of Neurocritical Care & Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Carl D. Langefeld
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Christopher D. Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Henry and Alisson McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
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11
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Jayaraman P, Crouse A, Nadkarni G, Might M. A Primer in Precision Nephrology: Optimizing Outcomes in Kidney Health and Disease through Data-Driven Medicine. KIDNEY360 2023; 4:e544-e554. [PMID: 36951457 PMCID: PMC10278804 DOI: 10.34067/kid.0000000000000089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 01/04/2023] [Indexed: 03/24/2023]
Abstract
This year marks the 63rd anniversary of the International Society of Nephrology, which signaled nephrology's emergence as a modern medical discipline. In this article, we briefly trace the course of nephrology's history to show a clear arc in its evolution-of increasing resolution in nephrological data-an arc that is converging with computational capabilities to enable precision nephrology. In general, precision medicine refers to tailoring treatment to the individual characteristics of patients. For an operational definition, this tailoring takes the form of an optimization, in which treatments are selected to maximize a patient's expected health with respect to all available data. Because modern health data are large and high resolution, this optimization process requires computational intervention, and it must be tuned to the contours of specific medical disciplines. An advantage of this operational definition for precision medicine is that it allows us to better understand what precision medicine means in the context of a specific medical discipline. The goal of this article was to demonstrate how to instantiate this definition of precision medicine for the field of nephrology. Correspondingly, the goal of precision nephrology was to answer two related questions: ( 1 ) How do we optimize kidney health with respect to all available data? and ( 2 ) How do we optimize general health with respect to kidney data?
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Affiliation(s)
- Pushkala Jayaraman
- The Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai, New York, New York
| | - Andrew Crouse
- Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham, Birmingham, Alabama
| | - Girish Nadkarni
- The Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai, New York, New York
- The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, New York
- Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
- Barbara T Murphy Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Matthew Might
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Computer Science, University of Alabama at Birmingham, Birmingham, Alabama
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12
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Liu W, Ma XL, Gu HQ, Li H, Li ZX, Wang YJ. Low estimated glomerular filtration rate explains the association between hyperhomocysteinemia and in-hospital mortality among patients with ischemic stroke/transient ischemic attack or intracerebral hemorrhage: Results from the Chinese Stroke Center Alliance. Int J Stroke 2023; 18:354-363. [PMID: 35672911 DOI: 10.1177/17474930221108278] [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: 11/17/2022]
Abstract
OBJECTIVES To investigate the association between hyperhomocysteinemia (HHcy) and in-hospital mortality following ischemic stroke (IS), transient ischemic attack (TIA), or intracerebral hemorrhage (ICH). METHODS Data on patients with ischemic cerebrovascular disease (IS/TIA) or ICH enrolled in the Chinese Stroke Center Alliance (CSCA) from 2015 to 2019 were extracted. Patient characteristics and in-hospital mortality were analyzed and multiple adjusted logistic regression analyses performed to investigate the association between blood tHcy (total homocysteine) and in-hospital mortality in patients with HHcy (tHcy ⩾ 15 µmol) and patients with normohomocysteinemia (nHcy) (tHcy < 15 µmol). RESULTS A total of 823,622 participants were included. Mean (SD) age was 65.9 (12.1), and 62.5% (n = 514,888) were male. A total of 379,807 (46.0%) patients were identified as having HHcy, and 70,364 (8.5%) patients had an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2. An eGFR < 60 mL/min/1.73 m2 was the strongest independent risk factor for HHcy in both patients with IS/TIA (adjusted odds ratio (aOR) 2.67, 95% confidence interval (CI): 2.49-2.86), and those with ICH (2.94, 2.46-3.50). On multivariable logistic regression, after adjusting for potential confounding factors, HHcy was associated with in-hospital mortality (aOR: 1.25, 95% CI: 1.13-1.37 for patients with IS/TIA; aOR: 1.40, 95% CI: 1.12-1.76 for patients with ICH). However, after additionally adjusting for eGFR, this association disappeared among patients with both IS/TIA (aOR: 1.09, 95% CI: 0.99-1.20) and those with ICH (aOR: 1.17, 9% CI: 0.96-1.43). CONCLUSION HHcy was associated with in-hospital mortality among the patients with IS/TIA or ICH but this association disappeared after controlling for eGFR, suggesting HHcy was acting as a marker of poor renal function which itself was the predictor of poor outcome. Our results suggest the prevention and management of renal impairment may be an important measure in the reduction of mortality in patients with HHcy after IS/TIA or ICH.
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Affiliation(s)
- Wei Liu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xue-Lian Ma
- Department of Obstetrics and Gynecology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hong-Qiu Gu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zi-Xiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yong-Jun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Center for Healthcare Quality Management in Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Neurology, Beijing Tiantan Hospital, Beijing, China
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13
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Vanent KN, Leasure AC, Acosta JN, Kuohn LR, Woo D, Murthy SB, Kamel H, Messé SR, Mullen MT, Cohen JB, Cohen DL, Townsend RR, Petersen NH, Sansing LH, Gill TM, Sheth KN, Falcone GJ. Association of Chronic Kidney Disease With Risk of Intracerebral Hemorrhage. JAMA Neurol 2022; 79:911-918. [PMID: 35969388 PMCID: PMC9379821 DOI: 10.1001/jamaneurol.2022.2299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 06/24/2022] [Indexed: 11/14/2022]
Abstract
Importance The evidence linking chronic kidney disease (CKD) to spontaneous intracerebral hemorrhage (ICH) is inconclusive owing to possible confounding by comorbidities that frequently coexist in patients with these 2 diseases. Objective To determine whether there is an association between CKD and ICH risk. Design, Setting, and Participants A 3-stage study that combined observational and genetic analyses was conducted. First, the association between CKD and ICH risk was tested in the Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) study, a multicenter case-control study in the US. All participants with available data on CKD from ERICH were included. Second, this analysis was replicated in the UK Biobank (UKB), an ongoing population study in the UK. All participants in the UKB were included in this study. Third, mendelian randomization analyses were implemented in the UKB using 27 CKD-related genetic variants to test for genetic associations. ERICH was conducted from August 1, 2010, to August 1, 2017, and observed participants for 1 year. The UKB enrolled participants between 2006 and 2010 and will continue to observe them for 30 years. Data analysis was performed from November 11, 2019, to May 10, 2022. Exposures CKD stages 1 to 5. Main Outcomes and Measures The outcome of interest was ICH, ascertained in ERICH via expert review of neuroimages and in the UKB via a combination of self-reported data and International Statistical Classification of Diseases, Tenth Revision, codes. Results In the ERICH study, a total of 2914 participants with ICH and 2954 controls who had available data on CKD were evaluated (mean [SD] age, 61.6 [14.0] years; 2433 female participants [41.5%]; 3435 male participants [58.5%]); CKD was found to be independently associated with higher risk of ICH (odds ratio [OR], 1.95; 95% CI, 1.35-2.89; P < .001). This association was not modified by race and ethnicity. Replication in the UKB with 1341 participants with ICH and 501 195 controls (mean [SD] age, 56.5 [8.1] years; 273 402 female participants [54.4%]; 229 134 male participants [45.6%]) confirmed this association (OR, 1.28; 95% CI, 1.01-1.62; P = .04). Mendelian randomization analyses indicated that genetically determined CKD was associated with ICH risk (OR, 1.56; 95% CI, 1.13-2.16; P = .007). Conclusions and Relevance In this 3-stage study that combined observational and genetic analyses among study participants enrolled in 2 large observational studies with different characteristics and study designs, CKD was consistently associated with higher risk of ICH. Mendelian randomization analyses suggest that this association was causal. Further studies are needed to identify the specific biological pathways that mediate this association.
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Affiliation(s)
- Kevin N. Vanent
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Audrey C. Leasure
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Julian N. Acosta
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Lindsey R. Kuohn
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Santosh B. Murthy
- Clinical and Translational Neuroscience Unit, Department of Neurology, Weill Cornell Medicine, New York, New York
| | - Hooman Kamel
- Clinical and Translational Neuroscience Unit, Department of Neurology, Weill Cornell Medicine, New York, New York
- Deputy Editor, JAMA Neurology
| | - Steven R. Messé
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Michael T. Mullen
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jordana B. Cohen
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Biostatistics, Epidemiology, and Information, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Debbie L. Cohen
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Raymond R. Townsend
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Nils H. Petersen
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Lauren H. Sansing
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Thomas M. Gill
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Kevin N. Sheth
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Guido J. Falcone
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
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14
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Zou J, Chen H, Liu C, Cai Z, Yang J, Zhang Y, Li S, Lin H, Tan M. Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage. Front Neurosci 2022; 16:942100. [PMID: 36033629 PMCID: PMC9400715 DOI: 10.3389/fnins.2022.942100] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/15/2022] [Indexed: 12/28/2022] Open
Abstract
Background Intracerebral hemorrhage (ICH) is a stroke syndrome with an unfavorable prognosis. Currently, there is no comprehensive clinical indicator for mortality prediction of ICH patients. The purpose of our study was to construct and evaluate a nomogram for predicting the 30-day mortality risk of ICH patients. Methods ICH patients were extracted from the MIMIC-III database according to the ICD-9 code and randomly divided into training and verification cohorts. The least absolute shrinkage and selection operator (LASSO) method and multivariate logistic regression were applied to determine independent risk factors. These risk factors were used to construct a nomogram model for predicting the 30-day mortality risk of ICH patients. The nomogram was verified by the area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA). Results A total of 890 ICH patients were included in the study. Logistic regression analysis revealed that age (OR = 1.05, P < 0.001), Glasgow Coma Scale score (OR = 0.91, P < 0.001), creatinine (OR = 1.30, P < 0.001), white blood cell count (OR = 1.10, P < 0.001), temperature (OR = 1.73, P < 0.001), glucose (OR = 1.01, P < 0.001), urine output (OR = 1.00, P = 0.020), and bleeding volume (OR = 1.02, P < 0.001) were independent risk factors for 30-day mortality of ICH patients. The calibration curve indicated that the nomogram was well calibrated. When predicting the 30-day mortality risk, the nomogram exhibited good discrimination in the training and validation cohorts (C-index: 0.782 and 0.778, respectively). The AUCs were 0.778, 0.733, and 0.728 for the nomogram, Simplified Acute Physiology Score II (SAPSII), and Oxford Acute Severity of Illness Score (OASIS), respectively, in the validation cohort. The IDI and NRI calculations and DCA analysis revealed that the nomogram model had a greater net benefit than the SAPSII and OASIS scoring systems. Conclusion This study identified independent risk factors for 30-day mortality of ICH patients and constructed a predictive nomogram model, which may help to improve the prognosis of ICH patients.
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Affiliation(s)
- Jianyu Zou
- Department of Orthopaedics, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Huihuang Chen
- Department of Rehabilitation, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Cuiqing Liu
- Department of Nursing, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhenbin Cai
- Department of Orthopaedics, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jie Yang
- Department of Orthopaedics, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yunlong Zhang
- Department of Orthopaedics, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shaojin Li
- Department of Orthopaedics, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Hongsheng Lin
- Department of Orthopaedics, The First Affiliated Hospital of Jinan University, Guangzhou, China
- *Correspondence: Hongsheng Lin,
| | - Minghui Tan
- Department of Orthopaedics, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Minghui Tan,
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15
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Miwa K, Toyoda K. Covert vascular brain injury in chronic kidney disease. Front Neurol 2022; 13:824503. [PMID: 35959397 PMCID: PMC9358355 DOI: 10.3389/fneur.2022.824503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
Chronic kidney disease (CKD) contributes to the increased risk of stroke and dementia. Accumulating evidence indicates that structural brain abnormalities, such as cerebral small vessel disease, including white matter hyperintensities, lacunes, perivascular spaces, and cerebral microbleeds, as well as brain atrophy, are common in patients with CKD. All of these imaging findings have been implicated in the development of stroke and dementia. The brain and kidney exhibit similar impairments and promote structural brain abnormalities due to shared vascular risk factors and similar anatomical and physiological susceptibility to vascular injury in patients with CKD. This indicates that kidney function has a significant effect on brain aging. However, as most results are derived from cross-sectional observational studies, the exact pathophysiology of structural brain abnormalities in CKD remains unclear. The early detection of structural brain abnormalities in CKD in the asymptomatic or subclinical phase (covert) should enable stroke risk prediction and guide clinicians on more targeted interventions to prevent stroke in patients with CKD. This article summarizes the currently available clinical evidence linking covert vascular brain injuries with CKD.
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16
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Genome-Wide Studies in Ischaemic Stroke: Are Genetics Only Useful for Finding Genes? Int J Mol Sci 2022; 23:ijms23126840. [PMID: 35743317 PMCID: PMC9224543 DOI: 10.3390/ijms23126840] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/31/2022] [Accepted: 06/01/2022] [Indexed: 02/07/2023] Open
Abstract
Ischaemic stroke is a complex disease with some degree of heritability. This means that heritability factors, such as genetics, could be risk factors for ischaemic stroke. The era of genome-wide studies has revealed some of these heritable risk factors, although the data generated by these studies may also be useful in other disciplines. Analysis of these data can be used to understand the biological mechanisms associated with stroke risk and stroke outcome, to determine the causality between stroke and other diseases without the need for expensive clinical trials, or to find potential drug targets with higher success rates than other strategies. In this review we will discuss several of the most relevant studies regarding the genetics of ischaemic stroke and the potential use of the data generated.
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17
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Miwa K, Koga M, Nakai M, Yoshimura S, Sasahara Y, Koge J, Sonoda K, Ishigami A, Iwanaga Y, Miyamoto Y, Kobayashi S, Minematsu K, Toyoda K. Etiology and Outcome of Ischemic Stroke in Patients With Renal Impairment Including Chronic Kidney Disease: Japan Stroke Data Bank. Neurology 2022; 98:e1738-e1747. [PMID: 35260440 PMCID: PMC9071372 DOI: 10.1212/wnl.0000000000200153] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 01/14/2022] [Indexed: 11/18/2022] Open
Abstract
Background and Objectives Chronic kidney disease is a worldwide public health problem that is recognized as an established risk factor for stroke. It remains unclear whether its distribution and clinical impact are consistent across ischemic stroke subtypes in patients with renal impairment. We examined whether renal impairment was associated with the proportion of each stroke subtype vs ischemic stroke overall and with functional outcomes after each stroke subtype. Methods Study participants were 10,392 adult patients with an acute stroke from the register of the Japan Stroke Data Bank, a hospital-based multicenter stroke registration database, between October 2016 and December 2019, whose baseline serum creatinine levels or a dipstick proteinuria result were available. All ischemic strokes were classified according to the Trial of Org 10172 in Acute Stroke Treatment criteria. Unfavorable functional outcome was defined as modified Rankin Scale (mRS) score 3–6 at discharge. Mixed effect logistic regression was used to determine the relationship between the outcomes and the estimated glomerular filtration rate (eGFR), eGFR strata (<45, 45–59, ≥60 mL/min/1.73 m2), or dipstick proteinuria ≥1 adjusted for covariates. Results Overall, 2,419 (23%) patients had eGFR 45–59 mL/min/1.73 m2 and 1,976 (19%) had eGFR <45 mL/min/1.73 m2, including 185 patients (1.8%) receiving hemodialysis. Both eGFR 45–59 and eGFR <45 mL/min/1.73 m2 were associated with a higher proportion of cardioembolic stroke (odds ratio [OR], 1.21 [95% CI, 1.05–1.39] and 1.55 [1.34–1.79], respectively) and a lower proportion of small vessel occlusion (0.79 [0.69–0.90] and 0.68 [0.59–0.79], respectively). A similar association with the proportion of these 2 subtypes was proven in the analyses using decreased eGFR as continuous values. Both eGFR <45 mL/min/1.73 m2 and proteinuria were associated with unfavorable functional outcomes in patients with cardioembolic stroke (OR, 1.30 [95% CI, 1.01–1.69] and 3.18 [2.03–4.98], respectively) and small vessel occlusion (OR, 1.44 [1.01–2.07] and 2.08 [1.08–3.98], respectively). Discussion Renal impairment contributes to the different distributions and clinical effects across specific stroke subtypes, particularly evident in cardioembolic stroke and small vessel occlusion. This possibly indicates shared mechanisms of susceptibility and potentially enhancing pathways.
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Affiliation(s)
- Kaori Miwa
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Michikazu Nakai
- Center for Cerebral and Cardiovascular Disease Information, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Sohei Yoshimura
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yusuke Sasahara
- Center for Cerebral and Cardiovascular Disease Information, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Junpei Koge
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Kazutaka Sonoda
- Department of Neurology, Saiseikai Fukuoka Hospital, Fukuoka, Japan
| | - Akiko Ishigami
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yoshitaka Iwanaga
- Center for Cerebral and Cardiovascular Disease Information, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yoshihiro Miyamoto
- Center for Cerebral and Cardiovascular Disease Information, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | | | | | - Kazunori Toyoda
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
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18
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Kelly DM, Rothwell PM. Disentangling the Relationship Between Chronic Kidney Disease and Cognitive Disorders. Front Neurol 2022; 13:830064. [PMID: 35280286 PMCID: PMC8914950 DOI: 10.3389/fneur.2022.830064] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/03/2022] [Indexed: 12/12/2022] Open
Abstract
Chronic kidney disease (CKD) is a rapidly rising global health burden that affects nearly 40% of older adults. Epidemiologic data suggest that individuals at all stages of chronic kidney disease (CKD) have a higher risk of developing cognitive disorders and dementia, and thus represent a vulnerable population. It is currently unknown to what extent this risk may be attributable to a clustering of traditional risk factors such as hypertension and diabetes mellitus leading to a high prevalence of both symptomatic and subclinical ischaemic cerebrovascular lesions, or whether other potential mechanisms, including direct neuronal injury by uraemic toxins or dialysis-specific factors could also be involved. These knowledge gaps may lead to suboptimal prevention and treatment strategies being implemented in this group. In this review, we explore the mechanisms of susceptibility and risk in the relationship between CKD and cognitive disorders.
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Affiliation(s)
- Dearbhla M. Kelly
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Peter M. Rothwell
- Wolfson Center for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
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19
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Wang H, Huang L, Wu G, Li J, Liu L, Zhang T, Zhu J, Zhang X, Shen W, Chai C, Xia S. Regional cerebral gray matter atrophy is associated with cognitive impairment in hemodialysis patients: a cross-sectional and longitudinal voxel-based morphological MRI study. Brain Imaging Behav 2022; 16:1284-1293. [PMID: 34993881 DOI: 10.1007/s11682-021-00602-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2021] [Indexed: 12/19/2022]
Abstract
This study aimed to explore gray matter volume (GMV) changes in patients undergoing hemodialysis and assess the clinical risk factors associated with GMV changes and the relationship between GMV changes and neuropsychologic test results. Eighty-eight hemodialysis patients and 76 healthy controls (HCs) were recruited in this study. Fifty patients underwent follow-up examinations (follow-up duration: 1.75 ± 0.55 years), including magnetic resonance imaging, blood biochemical, and neuropsychologic testing. Changes in GMV between the patients and HCs were assessed. Longitudinal GMV changes were also explored in the patients. The clinical risk factors associated with longitudinal GMV changes and the correlations between longitudinal GMV changes and neuropsychologic test results were analyzed in the patients. Patients undergoing hemodialysis had diffusely decreased GMV compared with HCs (with age, sex, and total intracranial volume [TIV] as covariates, P<0.001, voxel-wise threshold false discovery rate [FDR] corrected). Compared with patients at baseline, regional decreased GMV were found in patients at follow-up (with age and TIV as covariates, P<0.05, voxel-wise threshold FDR corrected). Increased serum urea concentrations, parathyroid hormone levels, and hemodialysis duration were independent risk factors for decreased GMV in patients undergoing hemodialysis (all P<0.05, FDR corrected). Patients undergoing hemodialysis had lower mini-mental state examination (MMSE) (27[26, 29]) and Montreal cognitive assessment (MoCA) (22[19.5, 24.0]) scores than those of the HCs (30[29, 30] and 28[26.9, 29]) (all P<0.05). The MMSE scores of the patients at follow-up (26[25, 28.5]) were lower than those of patients at baseline (28[25, 29.5]) (P=0.02). The decreased left caudate volumes were positively correlated with reduced MMSE scores in hemodialysis patients (rs=0.437, P=0.033). Patients undergoing hemodialysis had noticeable GM atrophy over time, related to cognitive impairments.
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Affiliation(s)
- Huiying Wang
- The School of Medicine, Nankai University, Tianjin, 300071, China
| | - Lixiang Huang
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China
| | - Gemuer Wu
- The School of Medicine, Nankai University, Tianjin, 300071, China
| | - Jinping Li
- Department of Hemodialysis, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China
| | - Lei Liu
- Department of Radiology, Hebei Petrochina Central Hospital, Langfang, 065000, China
| | - Tong Zhang
- First Central Clinical College, Medical University of Tianjin, Tianjin, 300070, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthineers Ltd., Beijing, 100102, China
| | - Xianchang Zhang
- MR Collaboration, Siemens Healthineers Ltd., Beijing, 100102, China
| | - Wen Shen
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China
| | - Chao Chai
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China.
| | - Shuang Xia
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China.
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20
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Marini S, Georgakis MK, Anderson CD. Interactions Between Kidney Function and Cerebrovascular Disease: Vessel Pathology That Fires Together Wires Together. Front Neurol 2021; 12:785273. [PMID: 34899586 PMCID: PMC8652045 DOI: 10.3389/fneur.2021.785273] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 10/26/2021] [Indexed: 12/15/2022] Open
Abstract
The kidney and the brain, as high-flow end organs relying on autoregulatory mechanisms, have unique anatomic and physiological hemodynamic properties. Similarly, the two organs share a common pattern of microvascular dysfunction as a result of aging and exposure to vascular risk factors (e.g., hypertension, diabetes and smoking) and therefore progress in parallel into a systemic condition known as small vessel disease (SVD). Many epidemiological studies have shown that even mild renal dysfunction is robustly associated with acute and chronic forms of cerebrovascular disease. Beyond ischemic SVD, kidney impairment increases the risk of acute cerebrovascular events related to different underlying pathologies, notably large artery stroke and intracerebral hemorrhage. Other chronic cerebral manifestations of SVD are variably associated with kidney disease. Observational data have suggested the hypothesis that kidney function influences cerebrovascular disease independently and adjunctively to the effect of known vascular risk factors, which affect both renal and cerebral microvasculature. In addition to confirming this independent association, recent large-scale human genetic studies have contributed to disentangling potentially causal associations from shared genetic predisposition and resolving the uncertainty around the direction of causality between kidney and cerebrovascular disease. Accelerated atherosclerosis, impaired cerebral autoregulation, remodeling of the cerebral vasculature, chronic inflammation and endothelial dysfunction can be proposed to explain the additive mechanisms through which renal dysfunction leads to cerebral SVD and other cerebrovascular events. Genetic epidemiology also can help identify new pathological pathways which wire kidney dysfunction and cerebral vascular pathology together. The need for identifying additional pathological mechanisms underlying kidney and cerebrovascular disease is attested to by the limited effect of current therapeutic options in preventing cerebrovascular disease in patients with kidney impairment.
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Affiliation(s)
- Sandro Marini
- Department of Neurology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States
| | - Marios K Georgakis
- Institute for Stroke and Dementia Research, University Hospital of LMU Munich, Munich, Germany.,McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, United States.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States
| | - Christopher D Anderson
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, United States.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States.,Department of Neurology, Brigham and Women's Hospital, Boston, MA, United States
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21
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Chen X, Kong J, Pan J, Huang K, Zhou W, Diao X, Cai J, Zheng J, Yang X, Xie W, Yu H, Li J, Pei L, Dong W, Qin H, Huang J, Lin T. Kidney damage causally affects the brain cortical structure: A Mendelian randomization study. EBioMedicine 2021; 72:103592. [PMID: 34619639 PMCID: PMC8498227 DOI: 10.1016/j.ebiom.2021.103592] [Citation(s) in RCA: 118] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/30/2021] [Accepted: 09/07/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Alterations in the brain cortical structures of patients with chronic kidney disease (CKD) have been reported; however, the cause has not been determined yet. Herein, we used Mendelian randomization (MR) to reveal the causal effect of kidney damage on brain cortical structure. METHODS Genome-wide association studies summary data of estimated glomerular filtration rate (eGFR) in 480,698 participants from the CKDGen Consortium were used to identify genetically predicted eGFR. Data from 567,460 individuals from the CKDGen Consortium were used to assess genetically determined CKD; 302,687 participants from the UK Biobank were used to evaluate genetically predicted albuminuria. Further, data from 51,665 patients from the ENIGMA Consortium were used to assess the relationship between genetic predisposition and reduced eGFR, CKD, and progressive albuminuria with alterations in cortical thickness (TH) or surficial area (SA) of the brain. Magnetic resonance imaging was used to measure the SA and TH globally and in 34 functional regions. Inverse-variance weighted was used as the primary estimate whereas MR Pleiotropy RESidual Sum and Outlier, MR-Egger and weighted median were used to detect heterogeneity and pleiotropy. FINDINGS At the global level, albuminuria decreased TH (β = -0.07 mm, 95% CI: -0.12 mm to -0.02 mm, P = 0.004); at the functional level, albuminuria reduced TH of pars opercularis gyrus without global weighted (β = -0.11 mm, 95% CI: -0.16 mm to -0.07 mm, P = 3.74×10-6). No pleiotropy was detected. INTERPRETATION Kidney damage causally influences the cortex structure which suggests the existence of a kidney-brain axis. FUNDING This study was supported by the Science and Technology Planning Project of Guangdong Province (Grant No. 2020A1515111119 and 2017B020227007), the National Key Research and Development Program of China (Grant No. 2018YFA0902803), the National Natural Science Foundation of China (Grant No. 81825016, 81961128027, 81772719, 81772728), the Key Areas Research and Development Program of Guangdong (Grant No. 2018B010109006), Guangdong Special Support Program (2017TX04R246), Grant KLB09001 from the Key Laboratory of Malignant Tumor Gene Regulation and Target Therapy of Guangdong Higher Education Institutes, and Grants from the Guangdong Science and Technology Department (2020B1212060018).
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Affiliation(s)
- Xiong Chen
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China; Department of Pediatric Urology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, PR China
| | - Jianqiu Kong
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Jiexin Pan
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Kai Huang
- Department of Cardiovascular Surgery, Sun Yat-sen Memorial Hospital, PR China
| | | | - Xiayao Diao
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Jiahao Cai
- Department of Pediatric Neurology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, PR China
| | - Junjiong Zheng
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Xuefan Yang
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Weibin Xie
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Hao Yu
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Jiande Li
- Department of Neurology, Sun Yat-sen Memorial Hospital, PR China
| | - Lu Pei
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Wen Dong
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Haide Qin
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China
| | - Jian Huang
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China.
| | - Tianxin Lin
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, PR China.
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22
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Wang L, Jia J, Hong Z, Zhang L, Zhang J. Effects of chemerin and homocysteine levels and their associations with occurrence and development of ischemic cerebrovascular disease. Lipids Health Dis 2021; 20:108. [PMID: 34544451 PMCID: PMC8451099 DOI: 10.1186/s12944-021-01524-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 08/16/2021] [Indexed: 11/23/2022] Open
Abstract
Background The current study was conducted to explore the effects of chemerin and homocysteine (Hcy) levels and their associations with the occurrence and development of ischemic cerebrovascular disease (ICVD). Methods There involved a total of 187 patients with ICVD and 190 healthy people for physical examination in Cangzhou Central hospital from January 2020 to April 2021. The participants enrolled were divided into four groups based on the digital subtraction angiography: mild stenosis group (64 cases, stenosis rate 30-49 %), moderate stenosis group (72 cases, stenosis rate 50-69 %), severe stenosis group (51 cases, stenosis rate 70-99 %) and control group (190 cases, in healthy condition). The laboratory indexes of ICVD group and control group were observed and the four groups were further compared. Pearson linear correlation was applied to analyze the link between chemerin and Hcy levels and the degree of cerebral vascular stenosis in ICVD patients, and multivariate logistic regression was used to analyze the influencing factors of ICVD. Results No significant difference was found in general information including age, gender, body mass index (BMI), heart rate, systolic blood pressure, diastolic blood pressure, smoking and drinking between the two groups (P > 0.05). Moreover, there was no significant difference in fasting blood glucose (FBG), total cholesterol (TC) and high density lipoprotein cholesterol (HDL-C) levels between the two groups (P > 0.05). However, the levels of triglyceride (TG), low density lipoprotein cholesterol (LDL-C), chemerin and Hcy in ICVD group were significantly higher than those in control group (P < 0.05). When comparing the four groups, there was no significant difference in FBG and TC levels (P > 0.05). The levels of TG, LDL-C, chemerin and Hcy in mild, moderate and severe stenosis groups were higher than those in control group, the above levels in moderate and severe stenosis group were higher than those in mild stenosis group, and severe stenosis group higher than moderate stenosis group (P < 0.05). Chemerin and Hcy levels were positively correlated with the degree of cerebral vascular stenosis in ICVD patients (r = 0.612, 0.519, P < 0.001). ICVD was regarded as the dependent variable, and the abovementioned general data as well as significant laboratory indicators, including TG, LDL-C, chemerin and Hcy, as independent variables. The results of multivariate logistic regression analysis revealed that TG, LDL-C, chemerin and Hcy were independent influencing factors of ICVD. Conclusions Chemerin and Hcy levels exerted a close link to the occurrence and development of ICVD as independent influencing factors.
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Affiliation(s)
- Lixuan Wang
- Department of Neurology, Cangzhou Central Hospital, No.16 West Xinhua Road, Hebei, 061000, Cangzhou, China
| | - Jianpu Jia
- Department of Neurology, Cangzhou Central Hospital, No.16 West Xinhua Road, Hebei, 061000, Cangzhou, China.
| | - Zhen Hong
- Department of Neurology, Cangzhou Central Hospital, No.16 West Xinhua Road, Hebei, 061000, Cangzhou, China
| | - Leguo Zhang
- Department of Neurology, Cangzhou Central Hospital, No.16 West Xinhua Road, Hebei, 061000, Cangzhou, China
| | - Junling Zhang
- Department of Neurology, Cangzhou Central Hospital, No.16 West Xinhua Road, Hebei, 061000, Cangzhou, China
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23
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Georgakis MK, Gill D. Mendelian Randomization Studies in Stroke: Exploration of Risk Factors and Drug Targets With Human Genetic Data. Stroke 2021; 52:2992-3003. [PMID: 34399585 DOI: 10.1161/strokeaha.120.032617] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Elucidating the causes of stroke is key to developing effective preventive strategies. The Mendelian randomization approach leverages genetic variants related to an exposure of interest to investigate the effects of varying that exposure on disease risk. The random allocation of genetic variants at conception reduces confounding from environmental factors and thus strengthens causal inference, analogous to treatment allocation in a randomized controlled trial. With the recent explosion in the availability of human genetic data, Mendelian randomization has proven a valuable tool for studying risk factors for stroke. In this review, we provide an overview of recent developments in the application of Mendelian randomization to unravel the pathophysiology of stroke subtypes and identify therapeutic targets for clinical translation. The approach has offered novel insight into the differential effects of risk factors and antihypertensive, lipid-lowering, and anticoagulant drug classes on risk of stroke subtypes. Analyses have further facilitated the prioritization of novel drug targets, such as for inflammatory pathways underlying large artery atherosclerotic stroke and for the coagulation cascade that contributes to cardioembolic stroke. With continued methodological advances coupled with the rapidly increasing availability of genetic data related to a broad range of stroke phenotypes, the potential for Mendelian randomization in this context is expanding exponentially.
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Affiliation(s)
- Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD) (M.K.G.), University Hospital of Ludwig Maximilians-University (LMU), Munich, Germany.,Department of Neurology (M.K.G.), University Hospital of Ludwig Maximilians-University (LMU), Munich, Germany
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom (D.G.).,Clinical Pharmacology and Therapeutics Section, Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St George's, University of London, United Kingdom (D.G.).,Clinical Pharmacology Group, Pharmacy and Medicines Directorate, St George's University Hospitals NHS Foundation Trust, London, United Kingdom (D.G.).,Novo Nordisk Research Centre Oxford, Old Road Campus, United Kingdom (D.G.)
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24
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Park S, Cho NJ, Heo NH, Rhee EJ, Gil H, Lee EY. Vascular Calcification as a Novel Risk Factor for Kidney Function Deterioration in the Nonelderly. J Am Heart Assoc 2021; 10:e019300. [PMID: 34151587 PMCID: PMC8403323 DOI: 10.1161/jaha.120.019300] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background The relationship between vascular calcification and chronic kidney disease is well known. However, whether vascular calcification affects renal function deterioration remains unclear. We investigated whether kidney function deteriorated more rapidly in individuals with higher vascular calcification indicated by the coronary artery calcium score (CACS). Methods and Results Individuals with a normal estimated glomerular filtration rate (>60 mL/min per 1.73 m2) who underwent cardiac computed tomography in our institution (a tertiary teaching hospital in Cheonan, Korea) from January 2010 to July 2012 were retrospectively reviewed. All participants were aged 20 to 65 years. Among 739 patients, 447, 175, and 117 had CACSs of 0, 1 to 99, and ≥100 units, respectively. The participants were followed for 7.8 (interquartile range, 5.5–8.8) years. The adjusted annual estimated glomerular filtration rates declined more rapidly in patients in the CACS ≥100 group compared with those in the CACS 0 group (adjusted‐β, −0.40; 95% CI, −0.80 to −0.03) when estimated using a linear mixed model. The adjusted hazard ratio in the CACS ≥100 group for Kidney Disease: Improving Global Outcomes criteria (a drop in estimated glomerular filtration rate category accompanied by a 25% or greater drop in estimated glomerular filtration rate) was 2.52 (1.13–5.61). After propensity score matching, more prevalent renal outcomes (13.2%) were observed in patients with a CACS of ≥100 compared with those with a CACS of 0 (1.9%), with statistical significance (P=0.004). Conclusions Our results showed that renal function declined more rapidly in patients with higher CACSs, suggesting that vascular calcification might be associated with chronic kidney disease progression.
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Affiliation(s)
- Samel Park
- Department of Internal Medicine Soonchunhyang University Cheonan Hospital Cheonan Korea
| | - Nam-Jun Cho
- Department of Internal Medicine Soonchunhyang University Cheonan Hospital Cheonan Korea
| | - Nam Hun Heo
- Department of Biostatistics Soonchunhyang University Cheonan Hospital Cheonan Korea
| | - Eun-Jung Rhee
- Department of Internal Medicine Kangbuk Samsung Hospital Seoul Korea
| | - Hyowook Gil
- Department of Internal Medicine Soonchunhyang University Cheonan Hospital Cheonan Korea
| | - Eun Young Lee
- Department of Internal Medicine Soonchunhyang University Cheonan Hospital Cheonan Korea.,Institute of Tissue Regeneration College of Medicine Soonchunhyang University Cheonan Korea
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25
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Ariton DM, Jiménez-Balado J, Maisterra O, Pujadas F, Soler MJ, Delgado P. Diabetes, Albuminuria and the Kidney-Brain Axis. J Clin Med 2021; 10:2364. [PMID: 34072230 PMCID: PMC8198842 DOI: 10.3390/jcm10112364] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/19/2021] [Accepted: 05/24/2021] [Indexed: 01/02/2023] Open
Abstract
Cognitive decline and kidney disease are significant public health problems that share similar characteristics and risk factors. The pathophysiology of the kidney-brain axis is not completely understood, and studies analysing the relationship between the biomarkers of kidney damage and cognitive impairment show different results. This article focuses on the epidemiological and clinical aspects concerning the association of albuminuria, a marker for endothelial dysfunction and microvascular disease, and cognitive impairment in patients with chronic kidney disease, diabetic kidney disease and end-stage kidney disease. Most studies show a positive relationship between albuminuria and cognitive impairment in all groups, but evidence in type 2 diabetes (T2D) patients is limited. We briefly discuss the mechanisms underlying these associations, such as damage to the microvascular circulation, leading to hypoperfusion and blood pressure fluctuations, as well as increased inflammation and oxidative stress, both in the brain and in the kidneys. Further clinical and epidemiological studies developed to understand the interplay between the kidneys and brain diseases will hopefully lead to a reduction in cognitive impairment in these patients.
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Affiliation(s)
- Diana Maria Ariton
- Neurology Department, Hospital Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (D.M.A.); (J.J.-B.); (O.M.); (F.P.)
| | - Joan Jiménez-Balado
- Neurology Department, Hospital Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (D.M.A.); (J.J.-B.); (O.M.); (F.P.)
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA 90089, USA
| | - Olga Maisterra
- Neurology Department, Hospital Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (D.M.A.); (J.J.-B.); (O.M.); (F.P.)
| | - Francesc Pujadas
- Neurology Department, Hospital Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (D.M.A.); (J.J.-B.); (O.M.); (F.P.)
| | - María José Soler
- Nephrology Department, Hospital Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain;
| | - Pilar Delgado
- Neurology Department, Hospital Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (D.M.A.); (J.J.-B.); (O.M.); (F.P.)
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Zhao JV, Schooling CM. Using Mendelian randomization study to assess the renal effects of antihypertensive drugs. BMC Med 2021; 19:79. [PMID: 33766008 PMCID: PMC7995783 DOI: 10.1186/s12916-021-01951-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 02/25/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Angiotensin-converting enzyme (ACE) inhibitors and/or in combination with calcium channel blockers (CCBs) are generally recommended as the first-line antihypertensive therapy for people with hypertension and kidney dysfunction. Evidence from large randomized controlled trials comprehensively comparing renal effects of different classes of antihypertensive drugs is lacking. METHODS We used a Mendelian randomization study to obtain unconfounded associations of genetic proxies for antihypertensives with kidney function. Specifically, we used published genetic variants in genes regulating target proteins of these drugs and then applied to a meta-analysis of the largest available genome-wide association studies of kidney function (estimated glomerular filtration rate (eGFR), urine albumin-to-creatinine ratio (UACR), and albuminuria). Inverse variance weighting was used as the main analysis and to combine estimates from different sources. RESULTS Genetically predicted ACE inhibition was associated with higher eGFR (effect size 0.06, 95% confidence interval (CI) 0.008, 0.11), while genetic proxies for beta-blockers were associated with lower eGFR (- 0.02, 95% CI - 0.04, - 0.004) when meta-analyzing the UK Biobank and CKDGen. Genetic proxies for CCBs were associated with lower UACR (- 0.15, 95% CI - 0.28, - 0.02) and lower risk of albuminuria (odds ratio 0.58, 95% CI 0.37, 0.90) in CKDGen. The associations were robust to using different analysis methods and different genetic instruments. CONCLUSIONS Our findings suggest the reno-protective associations of genetically proxied ACE inhibitors and CCBs, while genetic proxies for beta-blockers may be related to lower eGFR. Understanding the underlying mechanisms would be valuable, with implications for drug development and repositioning of treatments for kidney disease.
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Affiliation(s)
- Jie V Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 1/F, Patrick Manson Building, 7 Sassoon Road, Hong Kong, China.
| | - C Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 1/F, Patrick Manson Building, 7 Sassoon Road, Hong Kong, China.,School of Public Health and Health Policy, City University of New York, New York, NY, USA
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27
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Blevins BL, Vinters HV, Love S, Wilcock DM, Grinberg LT, Schneider JA, Kalaria RN, Katsumata Y, Gold BT, Wang DJJ, Ma SJ, Shade LMP, Fardo DW, Hartz AMS, Jicha GA, Nelson KB, Magaki SD, Schmitt FA, Teylan MA, Ighodaro ET, Phe P, Abner EL, Cykowski MD, Van Eldik LJ, Nelson PT. Brain arteriolosclerosis. Acta Neuropathol 2021; 141:1-24. [PMID: 33098484 PMCID: PMC8503820 DOI: 10.1007/s00401-020-02235-6] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 10/04/2020] [Accepted: 10/05/2020] [Indexed: 12/14/2022]
Abstract
Brain arteriolosclerosis (B-ASC), characterized by pathologic arteriolar wall thickening, is a common finding at autopsy in aged persons and is associated with cognitive impairment. Hypertension and diabetes are widely recognized as risk factors for B-ASC. Recent research indicates other and more complex risk factors and pathogenetic mechanisms. Here, we describe aspects of the unique architecture of brain arterioles, histomorphologic features of B-ASC, relevant neuroimaging findings, epidemiology and association with aging, established genetic risk factors, and the co-occurrence of B-ASC with other neuropathologic conditions such as Alzheimer's disease and limbic-predominant age-related TDP-43 encephalopathy (LATE). There may also be complex physiologic interactions between metabolic syndrome (e.g., hypertension and inflammation) and brain arteriolar pathology. Although there is no universally applied diagnostic methodology, several classification schemes and neuroimaging techniques are used to diagnose and categorize cerebral small vessel disease pathologies that include B-ASC, microinfarcts, microbleeds, lacunar infarcts, and cerebral amyloid angiopathy (CAA). In clinical-pathologic studies that factored in comorbid diseases, B-ASC was independently associated with impairments of global cognition, episodic memory, working memory, and perceptual speed, and has been linked to autonomic dysfunction and motor symptoms including parkinsonism. We conclude by discussing critical knowledge gaps related to B-ASC and suggest that there are probably subcategories of B-ASC that differ in pathogenesis. Observed in over 80% of autopsied individuals beyond 80 years of age, B-ASC is a complex and under-studied contributor to neurologic disability.
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Affiliation(s)
- Brittney L Blevins
- Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Harry V Vinters
- Department of Pathology and Laboratory Medicine, David Geffen SOM at UCLA and Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095-1732, USA
| | - Seth Love
- University of Bristol and Southmead Hospital, Bristol, BS10 5NB, UK
| | - Donna M Wilcock
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Lea T Grinberg
- Department of Neurology and Pathology, UCSF, San Francisco, CA, USA
- Global Brain Health Institute, UCSF, San Francisco, CA, USA
- LIM-22, Department of Pathology, University of Sao Paulo Medical School, São Paulo, Brazil
| | - Julie A Schneider
- Departments of Neurology and Pathology, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Rajesh N Kalaria
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - Brian T Gold
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Danny J J Wang
- Laboratory of FMRI Technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Samantha J Ma
- Laboratory of FMRI Technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Lincoln M P Shade
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - David W Fardo
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - Anika M S Hartz
- Sanders-Brown Center on Aging, Department of Pharmacology and Nutritional Sciences, University Kentucky, Lexington, KY, 40536, USA
| | - Gregory A Jicha
- Sanders-Brown Center on Aging, Department of Neurology, University Kentucky, Lexington, KY, 40536, USA
| | | | - Shino D Magaki
- Department of Pathology and Laboratory Medicine, David Geffen SOM at UCLA and Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095-1732, USA
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging, Department of Neurology, University Kentucky, Lexington, KY, 40536, USA
| | - Merilee A Teylan
- Department of Epidemiology, University Washington, Seattle, WA, 98105, USA
| | | | - Panhavuth Phe
- Sanders-Brown Center on Aging, University Kentucky, Lexington, KY, 40536, USA
| | - Erin L Abner
- Sanders-Brown Center on Aging, Department of Epidemiology, University Kentucky, Lexington, KY, 40536, USA
| | - Matthew D Cykowski
- Departments of Pathology and Genomic Medicine and Neurology, Houston Methodist Hospital, Houston, TX, 77030, USA
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, Department of Pathology, University of Kentucky, Lexington, KY, 40536, USA.
- Rm 311 Sanders-Brown Center on Aging, University of Kentucky, 800 S. Limestone Avenue, Lexington, KY, 40536, USA.
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28
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Kelly DM, Rothwell PM. Impact of multimorbidity on risk and outcome of stroke: Lessons from chronic kidney disease. Int J Stroke 2020; 16:758-770. [PMID: 33243088 PMCID: PMC8521355 DOI: 10.1177/1747493020975250] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
With both an aging population and greater post-stroke survival, multimorbidity is a growing healthcare challenge, affecting over 40% of stroke patients, and rising rapidly and predictably with increasing age. Commonly defined as the co-occurrence of two or more chronic conditions, multimorbidity burden is a strong adverse prognostic factor, associated with greater short- and long-term stroke mortality, worse rehabilitation outcomes, and reduced use of secondary prevention. Chronic kidney disease can be considered as the archetypal comorbidity, being age-dependent and also affecting about 40% of stroke patients. Chronic kidney disease and stroke share very similar traditional cardiovascular risk factor profiles such as hypertension and diabetes, though novel chronic kidney disease-specific risk factors such as inflammation and oxidative stress have also been proposed. Using chronic kidney disease as an exemplar condition, we explore the mechanisms of risk in multimorbidity, implications for management, impact on stroke severity, and downstream consequences such as post-stroke cognitive impairment and dementia.
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Affiliation(s)
- Dearbhla M Kelly
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, John Radcliffe Hospital, University of Oxford, UK
| | - Peter M Rothwell
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, John Radcliffe Hospital, University of Oxford, UK
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29
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Jickling GC. Genetics of chronic kidney disease and stroke. Neurology 2020; 94:1060-1061. [DOI: 10.1212/wnl.0000000000009631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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