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Jia Y, Sun H, Sun L, Wang Y, Xu Q, Liu Y, Chang X, He Y, Guo D, Shi M, Chen GC, Zheng J, Zhang Y, Zhu Z. Mendelian randomization analysis implicates bidirectional associations between brain imaging-derived phenotypes and ischemic stroke. Cereb Cortex 2023; 33:10848-10857. [PMID: 37697910 DOI: 10.1093/cercor/bhad329] [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: 07/24/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 09/13/2023] Open
Abstract
Brian imaging-derived phenotypes (IDPs) have been suggested to be associated with ischemic stroke, but the causality between them remains unclear. In this bidirectional two-sample Mendelian randomization (MR) study, we explored the potential causal relationship between 461 imaging-derived phenotypes (n = 33,224, UK Biobank) and ischemic stroke (n = 34,217 cases/406,111 controls, Multiancestry Genome-Wide Association Study of Stroke). Forward MR analyses identified five IDPs associated with ischemic stroke, including mean diffusivity (MD) in the right superior fronto-occipital fasciculus (1.22 [95% CI, 1.11-1.34]), MD in the left superior fronto-occipital fasciculus (1.30 [1.17-1.44]), MD in the anterior limb of the right internal capsule (1.36 [1.22-1.51]), MD in the right anterior thalamic radiation (1.17 [1.09-1.26]), and MD in the right superior thalamic radiation (1.23 [1.11-1.35]). In the reverse MR analyses, ischemic stroke was identified to be associated with three IDPs, including high isotropic or free water volume fraction in the body of corpus callosum (beta, 0.189 [95% confidence interval, 0.107-0.271]), orientation dispersion index in the pontine crossing tract (0.175 [0.093-0.257]), and volume of the third ventricle (0.219 [0.138-0.301]). This bidirectional two-sample MR study suggested five predictors and three diagnostic markers for ischemic stroke at the brain-imaging level. Further studies are warranted to replicate our findings and clarify underlying mechanisms.
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Affiliation(s)
- Yiming Jia
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Hongyan Sun
- Department of Medical Imaging, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, China
| | - Lulu Sun
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Yinan Wang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Qingyun Xu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Yi Liu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Xinyue Chang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Yu He
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Daoxia Guo
- School of Nursing, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Mengyao Shi
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Jin Zheng
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai 200433, China
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Zhengbao Zhu
- Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Ministry of Education (MOE) Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou 215123, China
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Dong D, Hosomi K, Mori N, Kamijo YI, Furotani Y, Yamagami D, Ohnishi YI, Watanabe Y, Nakamura T, Tajima F, Kishima H, Saitoh Y. White matter microstructural alterations in patients with neuropathic pain after spinal cord injury: a diffusion tensor imaging study. Front Neurol 2023; 14:1241658. [PMID: 37693753 PMCID: PMC10484711 DOI: 10.3389/fneur.2023.1241658] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 08/08/2023] [Indexed: 09/12/2023] Open
Abstract
Background Through contrastive analysis, we aimed to identify the white matter brain regions that show microstructural changes in patients with neuropathic pain (NP) after spinal cord injury (SCI). Methods We categorized patients with SCI into NP (n = 30) and non-NP (n = 15) groups. We extracted diffusion tensor maps of fractional anisotropy (FA) and mean (MD), axial (AD), and radial (RD) diffusivity. A randomization-based method in tract-based spatial statistics was used to perform voxel-wise group comparisons among the FA, MD, AD, and RD for nonparametric permutation tests. Results Atlas-based analysis located significantly different regions (p < 0.05) in the appointed brain atlas. Compared to the non-NP group, the NP group showed higher FA in the posterior body and splenium of the corpus callosum and higher AD in the corpus callosum, internal capsule, corona radiata, posterior thalamic radiation, sagittal stratum, external capsule, cingulum, fornix/stria terminalis, superior longitudinal fasciculus, and uncinate fasciculus. Conclusion The results demonstrated that compared with the non-NP group, NP pathogenesis after SCI was potentially related to higher values in FA that are associated with microstructural changes in the posterior body and splenium of the corpus callosum, which could be regarded as central sensitization or network hyperexcitability.
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Affiliation(s)
- Dong Dong
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan
| | - Koichi Hosomi
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Nobuhiko Mori
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Yoshi-ichiro Kamijo
- Department of Rehabilitation Medicine, Wakayama Medical University, Wakayama, Japan
- Department of Rehabilitation Medicine, Saitama Medical Center, Dokkyo Medical University, Mibu, Tochigi, Japan
| | - Yohei Furotani
- Department of Rehabilitation Medicine, Wakayama Medical University, Wakayama, Japan
| | - Daisuke Yamagami
- Department of Rehabilitation Medicine, Graduate School of Medicine, Yokohama City University, Yokohama, Kanagawa, Japan
- Department of Rehabilitation Medicine, Kanagawa Rehabilitation Hospital, Atsugi, Kanagawa, Japan
| | - Yu-ichiro Ohnishi
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Department of Neurosurgery, Osaka Gyoumeikan Hospital, Osaka, Japan
| | - Yoshiyuki Watanabe
- Department of Radiology, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Takeshi Nakamura
- Department of Rehabilitation Medicine, Graduate School of Medicine, Yokohama City University, Yokohama, Kanagawa, Japan
| | - Fumihiro Tajima
- Department of Rehabilitation Medicine, Wakayama Medical University, Wakayama, Japan
| | - Haruhiko Kishima
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Youichi Saitoh
- Department of Mechanical Science and Bioengineering, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan
- Tokuyukai Rehabilitation Clinic, Toyonaka, Osaka, Japan
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Branco P, Bosak N, Bielefeld J, Cong O, Granovsky Y, Kahn I, Yarnitsky D, Apkarian AV. Structural brain connectivity predicts early acute pain after mild traumatic brain injury. Pain 2023; 164:1312-1320. [PMID: 36355048 DOI: 10.1097/j.pain.0000000000002818] [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: 06/08/2022] [Accepted: 10/20/2022] [Indexed: 11/12/2022]
Abstract
ABSTRACT Mild traumatic brain injury (mTBI), is a leading cause of disability worldwide, with acute pain manifesting as one of its most debilitating symptoms. Understanding acute postinjury pain is important because it is a strong predictor of long-term outcomes. In this study, we imaged the brains of 157 patients with mTBI, following a motorized vehicle collision. We extracted white matter structural connectivity networks and used a machine learning approach to predict acute pain. Stronger white matter tracts within the sensorimotor, thalamiccortical, and default-mode systems predicted 20% of the variance in pain severity within 72 hours of the injury. This result generalized in 2 independent groups: 39 mTBI patients and 13 mTBI patients without whiplash symptoms. White matter measures collected at 6 months after the collision still predicted mTBI pain at that timepoint (n = 36). These white matter connections were associated with 2 nociceptive psychophysical outcomes tested at a remote body site-namely, conditioned pain modulation and magnitude of suprathreshold pain-and with pain sensitivity questionnaire scores. Our findings demonstrate a stable white matter network, the properties of which determine an important amount of pain experienced after acute injury, pinpointing a circuitry engaged in the transformation and amplification of nociceptive inputs to pain perception.
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Affiliation(s)
- Paulo Branco
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- Center for Translational Pain Research, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Noam Bosak
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Department of Neurology, Rambam Health Care Campus, Haifa, Israel
| | - Jannis Bielefeld
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- Center for Translational Pain Research, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Olivia Cong
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- Center for Translational Pain Research, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Yelena Granovsky
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Department of Neurology, Rambam Health Care Campus, Haifa, Israel
| | - Itamar Kahn
- Department of Neuroscience and Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States
| | - David Yarnitsky
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Department of Neurology, Rambam Health Care Campus, Haifa, Israel
| | - A Vania Apkarian
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- Center for Translational Pain Research, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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Strath LJ, Hernandez PV, Nodarse CL, Johnson AJ, Edberg JD, Fillingim RB, Cruz-Almeida Y. Clinical vitamin D levels are associated with insular volume and inferior temporal gyrus white matter surface area in community-dwelling individuals with knee pain. Front Neurosci 2022; 16:882322. [PMID: 36117614 PMCID: PMC9470941 DOI: 10.3389/fnins.2022.882322] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 07/29/2022] [Indexed: 02/01/2023] Open
Abstract
Context Vitamin D is an essential, fat soluble micronutrient long-known for its effects on calcium homeostasis and bone health. With advances in technology, it is being discovered that Vitamin D exerts its effects beyond the musculoskeletal system. Vitamin D has since been noted in nervous system health and functioning, and is becoming a target of interest in brain health, aging, and chronic pain outcomes. Objectives We and others have previously shown that deficient Vitamin D status is associated with greater pain severity across a variety of conditions, however the reason as to why this relationship exists is still being understood. Here, we sought to examine associations between Vitamin D status and brain structure in those with chronic knee pain. Methods Structural MRI imaging techniques and whole brain analyses were employed and serum Vitamin D were collected on 140 participants with chronic pain. Covariates included age, sex, race and site, as these data were collected at two separate institutions. ANOVAs using the clinical cut points for Vitamin D status (deficient, insufficient, and optimal) as well as continuous regression-based Vitamin D effects were employed to observe differences in brain volume. P-value was set to 0.017 after correction for multiple comparisons. Results We discovered that individuals in our sample (age = 50+; 63.6% female; 52.1% Non-Hispanic Black) who were either clinically deficient (<20 ng/mL) or insufficient (20-30 ng/mL) in serum Vitamin D had significant differences in the gray matter of the left circular insular cortex, left inferior temporal gyrus, right middle temporal gyrus, as well as decreased white matter surface area in the right inferior temporal gyrus compared to those considered to have optimal levels (>30 ng/mL) of serum Vitamin D. Conclusion Evidence from these data suggests that Vitamin D, or lack thereof, may be associated with pain outcomes by mediating changes in regions of the brain known to process and interpret pain. More research understanding this phenomenon as well as the effects of Vitamin D supplementation is warranted.
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Affiliation(s)
- Larissa J. Strath
- Pain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, United States,Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, United States
| | - Pedro Valdes Hernandez
- Pain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, United States,Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, United States
| | - Chavier Laffitte Nodarse
- Pain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, United States,Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, United States
| | - Alisa J. Johnson
- Pain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, United States,Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, United States
| | - Jeffrey D. Edberg
- School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States
| | - Roger B. Fillingim
- Pain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, United States,Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, United States
| | - Yenisel Cruz-Almeida
- Pain Research and Intervention Center of Excellence, University of Florida, Gainesville, FL, United States,Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, United States,*Correspondence: Yenisel Cruz-Almeida,
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