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Wang H, Zhu Y, Zheng L, Chen M, Hao Z, Guo R, Feng L, Wang D. Association of the COL4A2 Gene Polymorphisms with Primary Intracerebral Hemorrhage Risk and Outcome in Chinese Han Population. Mol Neurobiol 2024:10.1007/s12035-024-04146-z. [PMID: 38565785 DOI: 10.1007/s12035-024-04146-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/23/2024] [Indexed: 04/04/2024]
Abstract
The relationship of single nucleotide polymorphisms (SNPs) in COL4A2 gene with risk and outcome of primary intracerebral hemorrhage (ICH) in the Chinese Han population remains unclear, which was investigated in this study. Primary ICH patients and non-stroke controls of Chinese Han ethnicity were enrolled. The genotypes of 8 tag-SNPs were determined using a custom-by-design 48-Plex SNPscan Kit. Poor 3-month outcome was defined as modified Rankin Scale score 4-6. Logistic regression was employed to examine association between COL4A2 variants and risk and poor outcome of primary ICH. 323 patients with primary ICH and 376 stroke-free controls were included. Compared to controls, the rs1049931 G and rs1049906 C alleles were associated with increased ICH risk (p = 0.027 and 0.033), and these two allele counts increased this risk after adjustments respectively (additive model: adjusted OR [aOR] 1.41, 95% CI 1.03-1.94, corrected p = 0.043; aOR 1.37, 95% CI 1.01-1.86, corrected p = 0.043). The rs1049931 AG/GG and rs1049906 CT/CC genotypes showed increased susceptibility to non-lobar hemorrhage (aOR 1.63, 95% CI 1.06-2.50, p = 0.025; aOR 1.63, 95% CI 1.07-2.47, p = 0.022). Haplotype analysis revealed an association between rs1049906-rs1049931 haplotype CG and ICH risk (OR 1.36, 95% CI 1.05-1.78, p = 0.021). Regarding clinical outcome, the rs3803230 C allele (dominant model: aOR 1.94, 95% CI 1.04-3.63, p = 0.037) and haplotype AC of rs7990214-rs3803230 (OR 1.98, 95% CI 1.13-3.46, p = 0.015) contributed to 3-month poor outcome. The COL4A2 polymorphisms are associated with an increased risk of primary ICH, mainly non-lobar hemorrhage, and with long-term poor outcome after ICH in Chinese Han population.
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Affiliation(s)
- Huan Wang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
- Center of Cerebrovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yuyi Zhu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
- Center of Cerebrovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lukai Zheng
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, 81377, Munich, Germany
| | - Mingxi Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
- Center of Cerebrovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zilong Hao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China
- Center of Cerebrovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Rui Guo
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ling Feng
- Department of Neurology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China.
| | - Deren Wang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, China.
- Center of Cerebrovascular Diseases, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Liu X, Yang Q, Tang L, He J, Tian D, Wang B, Xie L, Li C, Fan D. Rare and Common Variants in COL4A1 in Chinese Patients With Intracerebral Hemorrhage. Front Neurol 2022; 13:827165. [PMID: 35711275 PMCID: PMC9196627 DOI: 10.3389/fneur.2022.827165] [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: 12/01/2021] [Accepted: 05/06/2022] [Indexed: 11/28/2022] Open
Abstract
Here, we screened the COL4A1 variants in Chinese intracerebral hemorrhage (ICH) patients to summarize the relationship between the variants and clinical characteristics. Targeted sequencing of a 65-gene panel including COL4A1 was performed to detect all the coding regions and ±10-bp splicing sites. In total, 568 patients were included. Regarding rare nonsynonymous variants with a minor allele frequency (MAF) <0.5%, 6 missense variants and five suspicious splice site variants, absent in 573 healthy controls, were found in 11 patients. The subgroup carrying rare variants did not show specific phenotype compared with non-variant carriers. For the single nucleotide polymorphism (SNP) loci with an MAF> 5%, we did not find a significant association between the allele or genotype distribution of the SNP loci and the risk of ICH. Rs3742207 was nominally associated with death at 1-year follow-up (p = 0.02027, OR 1.857, 95% CI 1.101-3.133) after adjusted by age, hypertension history, hematoma volume and recurrent ICH history. Nevertheless, after the Bonferroni correction, the association was no longer significant. In conclusion, rare nonsynonymous variants in COL4A1 were identified in 1.94% (11/568) of Chinese ICH patients, while rs3742207 maybe indicate a worse prognosis of ICH.
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Affiliation(s)
- Xiaolu Liu
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Qiong Yang
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Lu Tang
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Ji He
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Danyang Tian
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Baojun Wang
- Department of Neurology, Central Hospital of Baotou, Baotou, China
| | - Lihong Xie
- Department of Neurology, Central Hospital of Baotou, Baotou, China
| | - Changbao Li
- Department of Neurosurgery, Beijing Pinggu Hospital, Beijing, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China.,Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China.,Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China
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Guo H, You M, Wu J, Chen A, Wan Y, Gu X, Tan S, Xu Y, He Q, Hu B. Genetics of Spontaneous Intracerebral Hemorrhage: Risk and Outcome. Front Neurosci 2022; 16:874962. [PMID: 35478846 PMCID: PMC9036087 DOI: 10.3389/fnins.2022.874962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 03/14/2022] [Indexed: 01/05/2023] Open
Abstract
Spontaneous intracerebral hemorrhage (ICH) is a common fatal event without an effective therapy. Of note, some familial aggregation and inherited tendency is found in ICH and heritability estimates indicate that genetic variations contribute substantially to ICH risk and outcome. Thus, identification of genetic variants that affect the occurrence and outcome may be helpful for ICH prevention and therapy. There are several reviews summarizing numerous genetic variants associated with the occurrence of ICH before, but genetic variants contributing to location distribution and outcome have rarely been introduced. Here, we summarize the current knowledge of genetic variants and pay special attention to location distribution and outcome. So far, investigations have reveled variations in APOE, GPX1, CR1, ITGAV, PRKCH, and 12q21.1 are associated with lobar ICH (LICH), while ACE, COL4A2, 1q22, TIMP1, TIMP2, MMP2, MMP9, and TNF are associated with deep ICH (DICH). Moreover, variations in APOE, VWF, 17p12, HP, CFH, IL6ST, and COL4A1 are possible genetic contributors to ICH outcome. Furthermore, the prospects for ICH related genetic studies from the bench to the bed were discussed.
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Affiliation(s)
- Hongxiu Guo
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mingfeng You
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiehong Wu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Anqi Chen
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Wan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xinmei Gu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Senwei Tan
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yating Xu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Quanwei He
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bo Hu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Zhang W, Zhao W, Ge C, Li X, Yang X, Xiang Y, Sun Z. Genetic Relationship Between Endothelin-1 Gene Polymorphisms and Intracerebral Hemorrhage Among Chinese Han People. Med Sci Monit 2020; 26:e919110. [PMID: 32168316 PMCID: PMC7092658 DOI: 10.12659/msm.919110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background The goal of the present study was to determine whether endothelin-1 (EDN1) variants are associated with intracerebral hemorrhage (ICH) risk among Chinese Han people. Material/Methods The genotyping of EDN1 rs5370 and rs6458155 polymorphisms were conducted in 154 ICH patients and 168 healthy controls using polymerase chain reaction (PCR) and sequencing. Deviation for genotype frequencies in controls from Hardy-Weinberg equilibrium (HWE) was assessed. The genotype and allele distribution of EDN1 polymorphisms was checked via χ2 test between 2 groups. Strength of the association between EDN1 polymorphisms and ICH risk is presented by odds ratio (OR) and 95% confidence interval (95% CI). Results Genotype distribution for rs5370 and rs6458155 polymorphisms in the control group both conformed to HWE (P>0.05). Only CC genotype and C allele frequencies of rs6458155 between ICH patients and healthy individuals were significantly different (P=0.025; P=0.043), indicating rs64581255 is associated with increased ICH onset (OR=2.214, 95% CI=1.009–4.461; OR=1.389, 95% CI=1.010–1.910). When adjusted by confounding factors, the significant correlations still existed between 2 groups (P=0.028, adjusted OR=2.217, 95% CI=1.092–4.500; P=0.046, adjusted OR=1.386, 95% CI=1.005–1.910). Conclusions EDN1 rs6458155 polymorphism may be a risk factor of ICH among Chinese Han people.
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Affiliation(s)
- Wanzeng Zhang
- Department of Neurosurgery, Harrison International Peace Hospital, Hengshui, Hebei, China (mainland)
| | - Wangmiao Zhao
- Department of Neurosurgery, Harrison International Peace Hospital, Hengshui, Hebei, China (mainland)
| | - Chunyan Ge
- Department of Neurosurgery, Harrison International Peace Hospital, Hengshui, Hebei, China (mainland)
| | - Xiaowei Li
- Department of Neurosurgery, Harrison International Peace Hospital, Hengshui, Hebei, China (mainland)
| | - Xuehui Yang
- Department of Neurosurgery, Harrison International Peace Hospital, Hengshui, Hebei, China (mainland)
| | - Yi Xiang
- Department of Neurosurgery, Harrison International Peace Hospital, Hengshui, Hebei, China (mainland)
| | - Zhaosheng Sun
- Department of Neurosurgery, Harrison International Peace Hospital, Hengshui, Hebei, China (mainland)
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Pistoia F, Carolei A, Bodien YG, Greenfield S, Kaplan S, Sacco S, Pistarini C, Casalena A, De Tanti A, Cazzulani B, Bellaviti G, Sarà M, Giacino J. The Comorbidities Coma Scale (CoCoS): Psychometric Properties and Clinical Usefulness in Patients With Disorders of Consciousness. Front Neurol 2019; 10:1042. [PMID: 31681139 PMCID: PMC6812466 DOI: 10.3389/fneur.2019.01042] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Accepted: 09/13/2019] [Indexed: 11/18/2022] Open
Abstract
Although comorbidities have a well-known impact on the functional recovery of patients with disorders of consciousness, including coma, vegetative state (VS), and minimally conscious state (MCS), a specific tool for their assessment in this challenging group of patients is lacking. For this aim, a multistep process was used to develop and validate the Comorbidities Coma Scale (CoCoS) in a sample of 162 patients with a diagnosis of coma, VS or MCS admitted to four Acute Inpatient Rehabilitation Units. To establish the psychometric properties of the scale, content validity, and internal consistency were investigated through Exploratory Factor Analysis in the whole sample (n = 162). Interrater reliability, assessed by the weighted Cohen's kappa (Kw), and concurrent validity of the scale as compared to the Greenfield Scale, assessed by ρ Spearman's correlation coefficient, were investigated in a subsample of patients (n = 52) within two of the above units. Our findings provided evidence of a good content validity of the scale, with the identification of a 12-factor structure representing the different comorbid dimensions of the target population. Inter-rater reliability was excellent in both the rehabilitation units where the assessment was made [Kw 0.98 (95% CI 0.96–0.99)]. CoCoS total scores correlated significantly with total scores of the Greenfield Scale (ρ = 0.932, 95% CI 0.89–0.96; P < 0.0001) indicating that CoCoS has concurrent validity while being more informative about the specific pattern of comorbidities of these challenging patients. The CoCos is a new tool which standardizes the approach to assessment of comorbid conditions and reliably identifies the category and severity of each comorbidity detected. It may be used for both clinical and research applications.
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Affiliation(s)
- Francesca Pistoia
- Department of Biotechnological and Applied Clinical Sciences, Neurological Institute, University of L'Aquila, L'Aquila, Italy
| | - Antonio Carolei
- Department of Biotechnological and Applied Clinical Sciences, Neurological Institute, University of L'Aquila, L'Aquila, Italy
| | - Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital-Harvard Medical School, Boston, MA, United States.,Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Sheldon Greenfield
- Health Policy Research Institute, University of California, Irvine, Irvine, CA, United States
| | - Sherrie Kaplan
- Health Policy Research Institute, University of California, Irvine, Irvine, CA, United States
| | - Simona Sacco
- Department of Biotechnological and Applied Clinical Sciences, Neurological Institute, University of L'Aquila, L'Aquila, Italy
| | - Caterina Pistarini
- Salvatore Maugeri Foundation, Scientific Institute of Nervi, Nervi, Italy
| | | | | | | | - Gianluca Bellaviti
- Salvatore Maugeri Foundation, Scientific Institute of Pavia, Pavia, Italy
| | - Marco Sarà
- Post-Coma Rehabilitative Unit, San Raffaele Hospital, Cassino, Italy
| | - Joseph Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital-Harvard Medical School, Boston, MA, United States
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Math N, Han TS, Lubomirova I, Hill R, Bentley P, Sharma P. Influences of genetic variants on stroke recovery: a meta-analysis of the 31,895 cases. Neurol Sci 2019; 40:2437-2445. [PMID: 31359356 PMCID: PMC6848040 DOI: 10.1007/s10072-019-04024-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Accepted: 07/20/2019] [Indexed: 02/07/2023]
Abstract
Background The influences of genetic variants on functional clinical outcomes following stroke are unclear. In order to reliably quantify these influences, we undertook a comprehensive meta-analysis of outcomes after acute intracerebral haemorrhage (ICH) or ischaemic stroke (AIS) in relation to different genetic variants. Methods PubMed, PsycInfo, Embase and Medline electronic databases were searched up to January 2019. Outcomes, defined as favourable or poor, were assessed by validated scales (Barthel index, modified Rankin scale, Glasgow outcome scale and National Institutes of Health stroke scale). Results Ninety-two publications comprising 31,895 cases met our inclusion criteria. Poor outcome was observed in patients with ICH who possessed the APOE4 allele: OR =2.60 (95% CI = 1.25–5.41, p = 0.01) and in AIS patients with the GA or AA variant at the BDNF-196 locus: OR = 2.60 (95% CI = 1.25–5.41, p = 0.01) or a loss of function allele of CYP2C19: OR = 2.36 (95% CI = 1.56–3.55, p < 0.0001). Poor outcome was not associated with APOE4: OR = 1.02 (95% CI = 0.81–1.27, p = 0.90) or IL6-174 G/C: OR = 2.21 (95% CI = 0.55–8.86, p = 0.26) in patients with AIS. Conclusions We demonstrate that recovery of AIS was unfavourably associated with variants of BDNF and CYP2C19 genes whilst recovery of ICH was unfavourably associated with APOE4 gene. Electronic supplementary material The online version of this article (10.1007/s10072-019-04024-w) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nikhil Math
- Department of Neuroscience, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - Thang S Han
- Institute of Cardiovascular Research Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK.
- Department of Endocrinology, Ashford & St Peter's NHS Foundation Trust, Chertsey, England.
| | - Irina Lubomirova
- Department of Neuroscience, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - Robert Hill
- Department of Neuroscience, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - Paul Bentley
- Department of Neuroscience, Imperial College London, South Kensington, London, SW7 2AZ, UK
- Imperial College Healthcare NHS Trust, London, W2 1NY, UK
| | - Pankaj Sharma
- Institute of Cardiovascular Research Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK.
- Department of Endocrinology, Ashford & St Peter's NHS Foundation Trust, Chertsey, England.
- Imperial College Healthcare NHS Trust, London, W2 1NY, UK.
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