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Fang Z, Chen X, Zhao Y, Zhou X, Cai X, Deng J, Cheng W, Sun W, Zhuang J, Yin Y. Quantitative assessments of white matter hyperintensities and plasma biomarkers can predict cognitive impairment and cerebral microbleeds in cerebral small vessel disease patients. Neuroscience 2025; 564:41-51. [PMID: 39522933 DOI: 10.1016/j.neuroscience.2024.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 10/08/2024] [Accepted: 11/07/2024] [Indexed: 11/16/2024]
Abstract
The objective of this study is to examine the efficacy of magnetic resonance imaging (MRI) features and peripheral blood biomarkers in assessing cognitive function in patients with cerebral small vessel disease (CSVD). A total of 58 CSVD patients were recruited. Six features of white matter hyperintensities (WMHs) were derived from MRI scans. Additionally, five neurodegenerative biomarkers (Aβ40, Aβ42, t-tau, p-tau181, NfL) and 13 serum inflammatory cytokines (VILIP-1, CCL2, IL-6, IL-18, TNF-α, CX3CL, sTREM-1/2, VEGF, s-RAGE, BNDF, TGF-β1, β-NGF) were quantified. Cognitive assessments were conducted using standardized neuropsychological scales. Spearman analysis revealed that the volumetric characteristics (absolute area, upper area, bottom area, absolute area percentage, upper percentage, and bottom percentage) of WMHs were negatively correlated with performance on all cognitive scale measures except the verbal fluency test (VFT) (r < -0.3, p > 0.05), while they were positively correlated with plasma neurofilament light (NFL) levels (r > 0.4, p < 0.05). Additionally, serum tumor necrosis factor-α (TNF-α) and soluble receptor for advanced glycation end-products (s-RAGE) showed significant correlations with scales of speech function. An integrated model incorporating WMHs features, neurodegenerative biomarkers, and neuroinflammatory markers was developed, demonstrating high predictive accuracy for cognitive impairment with an area under the curve (AUC) of 0.95 (accuracy 0.88, sensitivity 0.87, specificity 0.89). Another integrated model that includes features of WMHs and inflammatory cytokines for predicting cerebral microbleeds (CMBs) achieved an AUC of 0.95 (accuracy 0.88, sensitivity 0.82, specificity 0.92). Our findings suggest that these markers have the potential to be used for the early detection of cognitive decline and CMBs in patients with CSVD.
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Affiliation(s)
- Zhuo Fang
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, 200131, Shanghai, China; Danaher China Corporation, 200335, Shanghai, China
| | - Xiaohan Chen
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, 200003, Shanghai, China
| | - Yike Zhao
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, 200131, Shanghai, China
| | - Xinrui Zhou
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, 200131, Shanghai, China
| | - Xiao Cai
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, 200131, Shanghai, China
| | - Jiale Deng
- Department of Data and Analytics, WuXi Diagnostics Innovation Research Institute, 200131, Shanghai, China
| | - Wenbin Cheng
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, 200003, Shanghai, China
| | - Wenjing Sun
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, 200003, Shanghai, China
| | - Jianhua Zhuang
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, 200003, Shanghai, China
| | - You Yin
- Department of Neurology, Second Affiliated Hospital of Naval Medical University, 200003, Shanghai, China; Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, 200120, Shanghai, China.
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Lin SJ, Gillespie NA, Notestine R, Gamst AC, Chen AM, McEvoy LK, Panizzon MS, Elman JA, Glatt SJ, Hagler DJ, Neale MC, Franz CE, Kremen WS, Fennema-Notestine C. The genetic and environmental etiology of novel frequency-driven regional parcellations of abnormal white matter. Am J Med Genet B Neuropsychiatr Genet 2025; 198:e33004. [PMID: 39148448 PMCID: PMC11684400 DOI: 10.1002/ajmg.b.33004] [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: 12/21/2023] [Revised: 06/28/2024] [Accepted: 08/05/2024] [Indexed: 08/17/2024]
Abstract
The prevalence of white matter disease increases with age and is associated with cerebrovascular disease, cognitive decline, and risk for dementia. MRI measures of abnormal signal in the white matter (AWM) provide estimates of damage, however, regional patterns of AWM may be differentially influenced by genetic or environmental factors. With our data-driven regional parcellation approach, we created a probability distribution atlas using Vietnam Era Twin Study of Aging (VETSA) data (n = 475, mean age 67.6 years) and applied a watershed algorithm to define separate regional parcellations. We report biometrical twin modeling for five anatomically distinct regions: (1) Posterior, (2) Superior frontal and parietal, (3) Anterior and inferior frontal with deep areas, (4) Occipital, and (5) Anterior periventricular. We tested competing multivariate hypotheses to identify unique influences and to explain sources of covariance among the parcellations. Family aggregation could be entirely explained by additive genetic influences, with additive genetic variance (heritability) ranging from 0.69 to 0.79. Most genetic correlations between parcellations ranged from moderate to high (rg = 0.57-0.85), although two were small (rg = 0.35-0.39), consistent with varying degrees of unique genetic influences. This proof-of-principle investigation demonstrated the value of our novel, data-driven parcellations, with identifiable genetic and environmental differences, for future exploration.
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Affiliation(s)
- Shu-Ju Lin
- Department of Psychiatry, University of California, San Diego
- Center for Behavior Genetics of Aging, University of California, San Diego
| | - Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Randy Notestine
- Computational and Applied Statistics Laboratory (CASL) at the San Diego Supercomputer Center (SDSC)
| | - Anthony C. Gamst
- Computational and Applied Statistics Laboratory (CASL) at the San Diego Supercomputer Center (SDSC)
- Department of Mathematics, University of California, San Diego
| | - Anna M. Chen
- Department of Psychiatry, University of California, San Diego
| | - Linda K. McEvoy
- Department of Radiology, University of California, San Diego
- Herbert Wertheim School of Public Health and Human Longevity Science University of California, San Diego
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California, San Diego
- Center for Behavior Genetics of Aging, University of California, San Diego
| | - Jeremy A. Elman
- Department of Psychiatry, University of California, San Diego
- Center for Behavior Genetics of Aging, University of California, San Diego
| | - Stephen J. Glatt
- Psychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab); Departments of Psychiatry and Behavioral Sciences, Neuroscience and Physiology, and Public Health and Preventive Medicine, SUNY Upstate Medical University
| | | | | | - Carol E. Franz
- Department of Psychiatry, University of California, San Diego
- Center for Behavior Genetics of Aging, University of California, San Diego
| | - William S. Kremen
- Department of Psychiatry, University of California, San Diego
- Center for Behavior Genetics of Aging, University of California, San Diego
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California, San Diego
- Center for Behavior Genetics of Aging, University of California, San Diego
- Department of Radiology, University of California, San Diego
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Riggs PK, Anderson AM, Tang B, Rubin LH, Morgello S, Marra CM, Gelman BB, Clifford DB, Franklin D, Heaton RK, Ellis RJ, Fennema-Notestine C, Letendre SL. Elevated Plasma Protein Carbonyl Concentration Is Associated with More Abnormal White Matter in People with HIV. Viruses 2023; 15:2410. [PMID: 38140650 PMCID: PMC10747698 DOI: 10.3390/v15122410] [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: 08/17/2023] [Revised: 11/23/2023] [Accepted: 12/09/2023] [Indexed: 12/24/2023] Open
Abstract
Structural brain abnormalities, including those in white matter (WM), remain common in people with HIV (PWH). Their pathogenesis is uncertain and may reflect multiple etiologies. Oxidative stress is associated with inflammation, HIV, and its comorbidities. The post-translational carbonylation of proteins results from oxidative stress, and circulating protein carbonyls may reflect this. In this cross-sectional analysis, we evaluated the associations between protein carbonyls and a panel of soluble biomarkers of neuronal injury and inflammation in plasma (N = 45) and cerebrospinal fluid (CSF, n = 32) with structural brain MRI. The volume of abnormal WM was normalized for the total WM volume (nAWM). In this multisite project, all regression models were adjusted for the scanner. The candidate covariates included demographics, HIV disease characteristics, and comorbidities. Participants were PWH on virally suppressive antiretroviral therapy (ART) and were mostly white (64.4%) men (88.9%), with a mean age of 56.8 years. In unadjusted analyses, more nAWM was associated with higher plasma protein carbonyls (p = 0.002) and higher CCL2 (p = 0.045). In the adjusted regression models for nAWM, the association with plasma protein carbonyls remained significant (FDR p = 0.018). Protein carbonyls in plasma may be a valuable biomarker of oxidative stress and its associated adverse health effects, including within the central nervous system. If confirmed, these findings would support the hypothesis that reducing oxidative stress could treat or prevent WM injury in PWH.
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Affiliation(s)
- Patricia K. Riggs
- Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California San Diego, San Diego, CA 92093, USA
| | - Albert M. Anderson
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Bin Tang
- Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA
| | - Leah H. Rubin
- Departments of Neurology, Psychiatry and Behavioral Sciences, and Epidemiology, The Johns Hopkins University, Baltimore, MD 21205, USA
| | - Susan Morgello
- Departments of Neurology, Neuroscience, and Pathology, Mt Sinai School of Medicine, New York, NY 10029, USA
| | - Christina M. Marra
- Department of Neurology, University of Washington, Seattle, WA 98195, USA
| | - Benjamin B. Gelman
- Departments of Pathology, and Neuroscience & Cell Biology, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - David B. Clifford
- Department of Neurology, Washington University in St Louis, St Louis, MO 63110, USA
| | - Donald Franklin
- Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA
| | - Robert K. Heaton
- Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA
| | - Ronald J. Ellis
- Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA
- Department of Neurosciences, University of California San Diego, San Diego, CA 92093, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA
- Department of Radiology, University of California San Diego, San Diego, CA 92093, USA
| | - Scott L. Letendre
- Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California San Diego, San Diego, CA 92093, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA
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Kamenskaya OV, Klinkova AS, Loginova IY, Porotnikova SS, Habarov DV, Lomivorotov VN, Lomivorotov VV, Chernyavskiy AM. [Impairment of cognitive functions in patients with chronic thromboembolic pulmonary hypertension before and after surgical treatment]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:126-131. [PMID: 36843469 DOI: 10.17116/jnevro2023123021126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
OBJECTIVE To study cognitive functions in patients with chronic thromboembolic pulmonary hypertension (CTEPH) before and in the long-term after pulmonary thromboendarterectomy and to study factors that negatively affect cognitive status. MATERIAL AND METHODS One hundred and twenty-four patients with CTEPH were examined before and 6 months after surgery with an assessment of cognitive impairment using the Mini-Mental State Examination (MMSE). Multivariate regression analysis was used to identify factors affecting the MMSE indicators before and in the long-term postoperative periods. RESULTS Initially, patients with CTEPH had a total MMSE score 23.8±1.1. Six months after surgery, the score was 26.1±1.9 (p<0.001). A history of stroke, disability, stress (loss of spouse), and a high Charleson comorbidity index were independent factors affecting MMSE score before surgery. After surgery, the total MMSE score was influenced by a history of stroke, stress (loss of spouse), residual pulmonary hypertension and atrial fibrillation in the early postoperative period. CONCLUSION Cognitive impairment in the form of mild dementia was observed in patients with CTEPH before surgery. Six months after the operation, an improvement in cognitive status was revealed, which corresponded to moderate cognitive impairment. At the same time, no complete recovery of cognitive functions was recorded. Patients with CTEPH still experienced the greatest difficulties in the following areas: concentration and counting, memory. A history of stroke, disability, stress (loss of spouse), and a high comorbidity index are associated with a decrease in MMSE scores before surgery. Six months after surgery, MMSE score was affected by a history of stroke, stress (loss of spouse), residual pulmonary hypertension and atrial fibrillation in the early postoperative period.
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Affiliation(s)
- O V Kamenskaya
- E.N. Meshalkin National Medical Research Center, Novosibirsk, Russia
| | - A S Klinkova
- E.N. Meshalkin National Medical Research Center, Novosibirsk, Russia
| | - I Y Loginova
- E.N. Meshalkin National Medical Research Center, Novosibirsk, Russia
| | - S S Porotnikova
- E.N. Meshalkin National Medical Research Center, Novosibirsk, Russia
| | - D V Habarov
- E.N. Meshalkin National Medical Research Center, Novosibirsk, Russia.,Research Institute of Clinical and Experimental Lymphology - Branch of Institute of Cytology and Genetics, Novosibirsk, Russia
| | - V N Lomivorotov
- E.N. Meshalkin National Medical Research Center, Novosibirsk, Russia
| | - V V Lomivorotov
- E.N. Meshalkin National Medical Research Center, Novosibirsk, Russia
| | - A M Chernyavskiy
- E.N. Meshalkin National Medical Research Center, Novosibirsk, Russia
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Gustavson DE, Archer DB, Elman JA, Puckett OK, Fennema-Notestine C, Panizzon MS, Shashikumar N, Hohman TJ, Jefferson AL, Eyler LT, McEvoy LK, Lyons MJ, Franz CE, Kremen WS. Associations among executive function Abilities, free Water, and white matter microstructure in early old age. Neuroimage Clin 2022; 37:103279. [PMID: 36493704 PMCID: PMC9731853 DOI: 10.1016/j.nicl.2022.103279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 10/26/2022] [Accepted: 11/30/2022] [Indexed: 12/04/2022]
Abstract
BACKGROUND Studies have investigated white matter microstructure in relation to late-life cognitive impairments, with fractional anisotropy (FA) and mean diffusivity (MD) measures thought to capture demyelination and axonal degradation. However, new post-processing methods allow isolation of free water (FW), which captures extracellular fluid contributions such as atrophy and neuroinflammation, from tissue components. FW also appears to be highly relevant to late-life cognitive impairment. Here, we evaluated whether executive functions are associated with FW, and FA and MD corrected for FW (FAFWcorr and MDFWcorr). METHOD We examined 489 non-demented men in the Vietnam Era Twin Study of Aging (VETSA) at mean age 68. Two latent factors capturing 'common executive function' and 'working-memory specific' processes were estimated based on 6 tasks. Analyses focused on 11 cortical white matter tracts across three metrics: FW, FAFWcorr, and MDFWcorr. RESULTS Better 'common executive function' was associated with lower FW across 9 of the 11 tracts. There were no significant associations with intracellular metrics after false discovery rate correction. Effects also appeared driven by individuals with MCI (13.7% of the sample). Working memory-specific tasks showed some associations with FAFWcorr, including the triangularis portion of the inferior frontal gyrus. There was no evidence that cognitive reserve (i.e., general cognitive ability assessed in early adulthood) moderated these associations between executive function and FW or FA. DISCUSSION Executive function abilities in early old age are associated primarily with extracellular fluid (FW) as opposed to white matter (FAFWcorr or MDFWcorr). Moderation analyses suggested cognitive reserve does not play a strong role in these associations, at least in this sample of non-demented men.
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Affiliation(s)
- Daniel E Gustavson
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Derek B Archer
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jeremy A Elman
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA
| | - Olivia K Puckett
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA
| | - Christine Fennema-Notestine
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA
| | - Niranjana Shashikumar
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Timothy J Hohman
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Angela L Jefferson
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA
| | - Linda K McEvoy
- Department of Radiology, University of California San Diego, La Jolla, CA, USA; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA
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