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Fukatsu-Chikumoto A, Hirano T, Takahashi S, Ishida T, Yasuda K, Donishi T, Suga K, Doi K, Oishi K, Ohata S, Murata Y, Yamaji Y, Asami-Noyama M, Edakuni N, Kakugawa T, Matsunaga K. Correlation between frailty and reduction in cortical thickness in patients with chronic obstructive pulmonary disease. Sci Rep 2024; 14:6106. [PMID: 38480723 PMCID: PMC10937661 DOI: 10.1038/s41598-024-53933-0] [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: 06/20/2023] [Accepted: 02/06/2024] [Indexed: 03/17/2024] Open
Abstract
Physical inactivity and cognitive impairment in patients with chronic obstructive pulmonary disease (COPD) can lead to frailty and poor prognoses. However, little is known regarding the association between frailty and the human brain. We hypothesized that the brain structure could change according to frailty in patients with COPD and focused on cortical thickness. Cortical thickness measured by magnetic resonance imaging and frailty scores using the Kihon Checklist (KCL) were assessed in 40 patients with stable COPD and 20 healthy controls. Among the 34 regions assessed, multiple regions were thinner in patients with COPD than in healthy individuals (p < 0.05). We found significant negative correlations between the eight regions and the KCL scores only in patients with COPD. After adjusting for age and cognitive impairment, the association between the left and six right regions remained statistically significant. The correlation coefficient was the strongest in the bilateral superior frontal gyrus (left: ρ = - 0.5319, p = 0.0006) (right: ρ = - 0.5361, p = 0.0005). Interestingly, among the KCL scores, the daily activity domain showed the strongest correlation (sensitivity, 90%; specificity, 73%) with the bottom quartile of the reduction in the superior frontal gyrus. Frailty in patients with COPD is associated with a thickness reduction in the cortical regions, reflecting social vulnerability.
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Affiliation(s)
- Ayumi Fukatsu-Chikumoto
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Tsunahiko Hirano
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan.
| | - Shun Takahashi
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, 565-0871, Japan
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, 641-0012, Japan
- Graduate School of Rehabilitation Science, Osaka Metropolitan University, Habikino, 583-8555, Japan
- Clinical Research and Education Center, Asakayama General Hospital, Sakai, 590-0018, Japan
| | - Takuya Ishida
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, 641-0012, Japan
| | - Kasumi Yasuda
- Department of Neuropsychiatry, Wakayama Medical University, Wakayama, 641-0012, Japan
| | - Tomohiro Donishi
- Department of System Neurophysiology, Wakayama Medical University, Wakayama, 641-0012, Japan
| | - Kazuyoshi Suga
- Department of Radiology, St. Hill Hospital, Ube, 755-0155, Japan
| | - Keiko Doi
- Department of Pulmonology and Gerontology, Graduate School of Medicine, Yamaguchi University, Ube, 755-8505, Japan
| | - Keiji Oishi
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Shuichiro Ohata
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Yoriyuki Murata
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Yoshikazu Yamaji
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Maki Asami-Noyama
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Nobutaka Edakuni
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
| | - Tomoyuki Kakugawa
- Department of Pulmonology and Gerontology, Graduate School of Medicine, Yamaguchi University, Ube, 755-8505, Japan
| | - Kazuto Matsunaga
- Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1 Minami-Kogushi, Ube, 755-8505, Japan
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Jensen DE, Ebmeier KP, Akbaraly T, Jansen MG, Singh-Manoux A, Kivimäki M, Zsoldos E, Klein-Flügge MC, Suri S. The association of longitudinal diet and waist-to-hip ratio from midlife to old age with hippocampus connectivity and memory in old age: a cohort study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.12.570778. [PMID: 38168259 PMCID: PMC10760001 DOI: 10.1101/2023.12.12.570778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Epidemiological studies suggest lifestyle factors may reduce the risk of dementia. However, few studies have examined the association of diet and waist-to-hip ratio with hippocampus connectivity. In the Whitehall II Imaging Sub-study, we examined longitudinal changes in diet quality in 512 participants and waist-to-hip ratio in 665 participants. Diet quality was measured using the Alternative Health Eating Index-2010 assessed three times across 11 years between ages 48 and 60 years, and waist-to-hip ratio five times over 21 years between ages 48 and 68 years. Brain imaging and cognitive tests were performed at age 70±5 years. We measured white matter using diffusion tensor imaging and hippocampal functional connectivity using resting-state functional magnetic resonance imaging. In addition to associations of diet and waist-to-hip ratio with brain imaging measures, we tested whether associations between diet, waist-to-hip ratio and cognitive performance were mediated by brain connectivity. We found better diet quality in midlife and improvements in diet over mid-to-late life were associated with higher hippocampal functional connectivity to the occipital lobe and cerebellum, and better white matter integrity as measured by higher fractional anisotropy and lower diffusivity. Higher waist-to-hip ratio in midlife was associated with higher mean and radial diffusivity and lower fractional anisotropy in several tracts including the inferior longitudinal fasciculus and cingulum. Associations between midlife waist-to-hip ratio, working memory and executive function were partially mediated by radial diffusivity. All associations were independent of age, sex, education, and physical activity. Our findings highlight the importance of maintaining a good diet and a healthy waist-to-hip ratio in midlife to maintain brain health in later life. Future interventional studies for the improvement of dietary and metabolic health should target midlife for the prevention of cognitive decline in old age.
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Kilpatrick LA, An HM, Pawar S, Sood R, Gupta A. Neuroimaging Investigations of Obesity: a Review of the Treatment of Sex from 2010. Curr Obes Rep 2023; 12:163-174. [PMID: 36933153 PMCID: PMC10250271 DOI: 10.1007/s13679-023-00498-0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/15/2023] [Indexed: 03/19/2023]
Abstract
PURPOSE OF REVIEW To summarize the results of adult obesity neuroimaging studies (structural, resting-state, task-based, diffusion tensor imaging) published from 2010, with a focus on the treatment of sex as an important biological variable in the analysis, and identify gaps in sex difference research. RECENT FINDINGS Neuroimaging studies have shown obesity-related changes in brain structure, function, and connectivity. However, relevant factors such as sex are often not considered. We conducted a systematic review and keyword co-occurrence analysis. Literature searches identified 6281 articles, of which 199 met inclusion criteria. Among these, only 26 (13%) considered sex as an important variable in the analysis, directly comparing the sexes (n = 10; 5%) or providing single-sex/disaggregated data (n = 16, 8%); the remaining studies controlled for sex (n = 120, 60%) or did not consider sex in the analysis (n = 53, 27%). Synthesizing sex-based results, obesity-related parameters (e.g., body mass index, waist circumference, obese status) may be generally associated with more robust morphological alterations in men and more robust structural connectivity alterations in women. Additionally, women with obesity generally expressed increased reactivity in affect-related regions, while men with obesity generally expressed increased reactivity in motor-related regions; this was especially true under a fed state. The keyword co-occurrence analysis indicated that sex difference research was especially lacking in intervention studies. Thus, although sex differences in the brain associated with obesity are known to exist, a large proportion of the literature informing the research and treatment strategies of today has not specifically examined sex effects, which is needed to optimize treatment.
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Affiliation(s)
- Lisa A Kilpatrick
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Hyeon Min An
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Shrey Pawar
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Riya Sood
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, USA.
- David Geffen School of Medicine, Goodman-Luskin Microbiome Center, University of California, Los Angeles, USA.
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, The Obesity and Ingestive Behavior Program, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, 10833 Le Conte Avenue, Center for Health Sciences 42-210, Los Angeles, CA, 90095, USA.
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4
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Kang SH, Kim JH, Chang Y, Cheon BK, Choe YS, Jang H, Kim HJ, Koh SB, Na DL, Kim K, Seo SW. Independent effect of body mass index variation on amyloid-β positivity. Front Aging Neurosci 2022; 14:924550. [PMID: 35936766 PMCID: PMC9354132 DOI: 10.3389/fnagi.2022.924550] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 07/04/2022] [Indexed: 11/16/2022] Open
Abstract
Objectives The relationship of body mass index (BMI) changes and variability with amyloid-β (Aβ) deposition remained unclear, although there were growing evidence that BMI is associated with the risk of developing cognitive impairment or AD dementia. To determine whether BMI changes and BMI variability affected Aβ positivity, we investigated the association of BMI changes and BMI variability with Aβ positivity, as assessed by PET in a non-demented population. Methods We retrospectively recruited 1,035 non-demented participants ≥50 years of age who underwent Aβ PET and had at least three BMI measurements in the memory clinic at Samsung Medical Center. To investigate the association between BMI change and variability with Aβ deposition, we performed multivariable logistic regression. Further distinctive underlying features of BMI subgroups were examined by employing a cluster analysis model. Results Decreased (odds ratio [OR] = 1.68, 95% confidence interval [CI] 1.16–2.42) or increased BMI (OR = 1.60, 95% CI 1.11–2.32) was associated with a greater risk of Aβ positivity after controlling for age, sex, APOE e4 genotype, years of education, hypertension, diabetes, baseline BMI, and BMI variability. A greater BMI variability (OR = 1.73, 95% CI 1.07–2.80) was associated with a greater risk of Aβ positivity after controlling for age, sex, APOE e4 genotype, years of education, hypertension, diabetes, baseline BMI, and BMI change. We also identified BMI subgroups showing a greater risk of Aβ positivity. Conclusion Our findings suggest that participants with BMI change, especially those with greater BMI variability, are more vulnerable to Aβ deposition regardless of baseline BMI. Furthermore, our results may contribute to the design of strategies to prevent Aβ deposition with respect to weight control.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Jong Hyuk Kim
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Yoosoo Chang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, South Korea
| | - Bo Kyoung Cheon
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Yeong Sim Choe
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences & Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Duk L. Na
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Kyunga Kim
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea
- Department of Data Convergence and Future Medicine, School of Medicine, Sungkyunkwan University, Seoul, South Korea
- *Correspondence: Kyunga Kim,
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences & Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Samsung Alzheimer Research Center, Center for Clinical Epidemiology Medical Center, Seoul, South Korea
- Department of Intelligent Precision Healthcare Convergence, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Sang Won Seo,
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Relationship between obesity and structural brain abnormality: Accumulated evidence from observational studies. Ageing Res Rev 2021; 71:101445. [PMID: 34391946 DOI: 10.1016/j.arr.2021.101445] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 07/10/2021] [Accepted: 08/08/2021] [Indexed: 12/28/2022]
Abstract
We aimed to evaluate the relationship between obesity and structural brain abnormalities assessed by magnetic resonance imaging using data from 45 observational epidemiological studies, where five articles reported prospective longitudinal results. In cross-sectional studies' analyses, the pooled weighted mean difference for total brain volume (TBV) and gray matter volume (GMV) in obese/overweight participants was -11.59 (95 % CI: -23.17 to -0.02) and -10.98 (95 % CI: -20.78 to -1.18), respectively. TBV was adversely associated with BMI and WC, GMV with BMI, and hippocampal volume with BMI, WC, and WHR. WC/WHR are associated with a risk of lacunar and white matter hyperintensity (WMH). In longitudinal studies' analyses, BMI was not statistically associated with the overall structural brain abnormalities (for continuous BMI: RR = 1.02, 95 % CI: 0.94-1.12; for categorial BMI: RR = 1.18, 95 % CI: 0.75-1.85). Small sample size of prospective longitudinal studies limited the power of its pooled estimates. A higher BMI is associated with lower brain volume while greater WC/WHR, but not BMI, is related to a risk of lacunar infarct and WMH. Future longitudinal research is needed to further elucidate the specific causal relationships and explore preventive measures.
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Park J, Kim TJ, Song JH, Jang H, Kim JS, Kang SH, Kim HR, Hwangbo S, Shin HY, Na DL, Seo SW, Kim HJ, Kim JJ. Helicobacter Pylori Infection Is Associated with Neurodegeneration in Cognitively Normal Men. J Alzheimers Dis 2021; 82:1591-1599. [PMID: 34180413 DOI: 10.3233/jad-210119] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND An association between Helicobacter pylori (H. pylori) infection and dementia was reported in previous studies; however, the evidence is inconsistent. OBJECTIVE In the present study, the association between H. pylori infection and brain cortical thickness as a biomarker of neurodegeneration was investigated. METHODS A cross-sectional study of 822 men who underwent a medical health check-up, including an esophagogastroduodenoscopy and 3.0 T magnetic resonance imaging, was performed. H. pylori infection status was assessed based on histology. Multiple linear regression analyses were conducted to evaluate the relationship between H. pylori infection and brain cortical thickness. RESULTS Men with H. pylori infection exhibited overall brain cortical thinning (p = 0.022), especially in the parietal (p = 0.008) and occipital lobes (p = 0.050) compared with non-infected men after adjusting for age, educational level, alcohol intake, smoking status, and intracranial volume. 3-dimentional topographical analysis showed that H. pylori infected men had cortical thinning in the bilateral lateral temporal, lateral frontal, and right occipital areas compared with non-infected men with the same adjustments (false discovery rate corrected, Q < 0.050). The association remained significant after further adjusting for inflammatory marker (C-reactive protein) and metabolic factors (obesity, dyslipidemia, fasting glucose, and blood pressure). CONCLUSION Our results indicate H. pylori infection is associated with neurodegenerative changes in cognitive normal men. H. pylori infection may play a pathophysiologic role in the neurodegeneration and further studies are needed to validate this association.
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Affiliation(s)
- Jaehong Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea
| | - Tae Jun Kim
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Joo Hye Song
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea
| | - Ji Sun Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea
| | - Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Hang-Rai Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - Song Hwangbo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea
| | - Hee Young Shin
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea.,Department of Health Science and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea.,Department of Health Science and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.,Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea.,Department of Health Science and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.,Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Jae J Kim
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Kim W, Jang H, Kim YT, Cho J, Sohn J, Seo G, Lee J, Yang SH, Lee SK, Noh Y, Koh SB, Oh SS, Kim HJ, Seo SW, Kim HH, Lee JI, Kim SY, Kim C. The effect of body fatness on regional brain imaging markers and cognitive function in healthy elderly mediated by impaired glucose metabolism. J Psychiatr Res 2021; 140:488-495. [PMID: 34153903 DOI: 10.1016/j.jpsychires.2021.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/31/2021] [Accepted: 06/04/2021] [Indexed: 11/28/2022]
Abstract
Brain atrophy is related to vascular risk factors and can increase cognitive dysfunction risk. This community-based, cross-sectional study investigated whether glucose metabolic disorders due to body fatness are linked to regional changes in brain structure and a decline in neuropsychological function in cognitively healthy older adults. From 2016 to 2019, 429 participants underwent measurements for cortical thickness and subcortical volume using 3 T magnetic resonance imaging and for cognitive function using the neuropsychological screening battery. The effects of body fatness mediated by impaired glucose metabolism on neuroimaging markers and cognitive function was investigated using partial least square structural equation modeling. Total grey matter volume (β = -0.020; bias-corrected (BC) 95% confidence interval (CI) = -0.047 to -0.006), frontal (β = -0.029; BC 95% CI = -0.063 to -0.005) and temporal (β = -0.022; BC 95% CI = -0.051 to -0.004) lobe cortical thickness, and hippocampal volume (β = -0.029; BC 95% CI = -0.058 to -0.008) were indirectly related to body fatness. Further, frontal/temporal lobe thinning was associated with recognition memory (β = -0.005; BC 95% CI = -0.012 to -0.001/β = -0.005; BC 95% CI = -0.013 to -0.001) and delayed recall for visual information (β = -0.005; BC 95% CI = -0.013 to -0.001/β = -0.005; BC 95% CI = -0.013 to -0.001). Additionally, the smaller the hippocampal volume, the lower the score in recognition memory (β = -0.005; BC 95% CI = -0.012 to -0.001), delayed recall for visual information (β = -0.005; BC 95% CI = -0.012 to -0.001), and verbal learning (β = -0.008; BC 95% CI = -0.017 to -0.002). Our findings indicate that impaired glucose metabolism caused by excess body fatness affects memory decline as well as regional grey matter atrophy in elderly individuals with no neurological disease.
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Affiliation(s)
- Woojin Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Heeseon Jang
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul, 03722, Republic of Korea.
| | - Yun Tae Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul, 03722, Republic of Korea.
| | - Jaelim Cho
- Institute of Human Complexity and Systems Science, Yonsei University, Incheon, 21983, Republic of Korea; School of Medicine, University of Auckland, Auckland, 92019, New Zealand; Institute for Environmental Research, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Jungwoo Sohn
- Department of Preventive Medicine, Jeonbuk National University Medical School, Jeonju, 54907, Republic of Korea.
| | - Gayoung Seo
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Jiae Lee
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Sung Hee Yang
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Seung-Koo Lee
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Young Noh
- Department of Neurology, Gil Medical Center, Gachon University College of Medicine, Incheon, 21565, Republic of Korea.
| | - Sang-Baek Koh
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, 26426, Republic of Korea.
| | - Sung Soo Oh
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.
| | - Hee Jin Kim
- Department of Information, Communication and Technology Convergence. ICT Environment Convergence, Pyeongtaek University, Pyeongtaek, 17869, Republic of Korea.
| | - Sang Won Seo
- Department of Information, Communication and Technology Convergence. ICT Environment Convergence, Pyeongtaek University, Pyeongtaek, 17869, Republic of Korea.
| | - Ho Hyun Kim
- Korea Testing and Research Institute, Gwacheon, 13810, Republic of Korea.
| | - Jung Il Lee
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, 10408, Republic of Korea.
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, 10408, Republic of Korea.
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea; Department of Public Health, Yonsei University Graduate School, Seoul, 03722, Republic of Korea; Institute of Human Complexity and Systems Science, Yonsei University, Incheon, 21983, Republic of Korea.
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8
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Fernández-Andújar M, Morales-García E, García-Casares N. Obesity and Gray Matter Volume Assessed by Neuroimaging: A Systematic Review. Brain Sci 2021; 11:brainsci11080999. [PMID: 34439618 PMCID: PMC8391982 DOI: 10.3390/brainsci11080999] [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] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/19/2021] [Accepted: 07/26/2021] [Indexed: 12/03/2022] Open
Abstract
Obesity has become a major public and individual health problem due to its high worldwide prevalence and its relation with comorbid conditions. According to previous studies, obesity is related to an increased risk of cognitive impairment and dementia. This systematic review aims to further examine the present state of the art about the association between obesity and gray matter volume (GMV) as assessed by magnetic resonance imaging (MRI). A search was conducted in Pubmed, SCOPUS and Cochrane of those studies released before 1 February 2021 including MRIs to assess the GMVs in obese participants. From this search, 1420 results were obtained, and 34 publications were finally included. Obesity was mainly measured by the body mass index, although other common types of evaluations were used (e.g., waist circumference, waist-to-hip ratio and plasma leptin levels). The selected neuroimaging analysis methods were voxel-based morphometry (VBM) and cortical thickness (CT), finding 21 and 13 publications, respectively. There were 30 cross-sectional and 2 prospective longitudinal studies, and 2 articles had both cross-sectional and longitudinal designs. Most studies showed a negative association between obesity and GMV. This would have important public health implications, as obesity prevention could avoid a potential risk of GMV reductions, cognitive impairment and dementia.
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Affiliation(s)
| | - Ester Morales-García
- Servicio de Neurología, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain;
| | - Natalia García-Casares
- Department of Medicine, Faculty of Medicine, University of Malaga, 29010 Malaga, Spain
- Centro de Investigaciones Médico-Sanitarias (C.I.M.E.S), University of Malaga, 29010 Malaga, Spain
- Área de Enfermedades cardiovasculares, obesidad y diabetes, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Malaga, Spain
- Correspondence: ; Tel.: +34-952-137-354
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9
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Min KD, Kim JS, Park YH, Shin HY, Kim C, Seo SW, Kim SY. New assessment for residential greenness and the association with cortical thickness in cognitively healthy adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 778:146129. [PMID: 33714817 DOI: 10.1016/j.scitotenv.2021.146129] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 01/26/2021] [Accepted: 02/22/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Recent evidence suggests that neurological health could be improved with the intervention of local green space. A few studies adopted cortical thickness, as an effective biomarker for neurodegenerative disorder, to investigate the association with residential greenness. However, they relied on limited data sources, definitions or applications to assess residential greenness. Our cross-sectional study assessed individual residential greenness using an alternative measure, which provides a more realistic definition of local impact and application based on the type of area, and investigated the association with cortical thickness. METHODS The study population included 2542 subjects who participated in the medical check-up program at the Health Promotion Center of the Samsung Medical Center in Seoul, Korea, from 2008 to 2014. The cortical thickness was calculated by each of the four and global lobes from brain MRI. For greenness, we used the enhanced vegetation index (EVI) that detects canopy structural variation by adjusting background noise based on satellite imagery data. To assess individual exposure to residential greenness, we computed the maximum annual EVI before the date of a medical check-up and averaged it within 750 m from subjects' homes to represent an average walking distance. Finally, we assessed the association with cortical thickness by urban and non-urban populations using multiple linear regression adjusting for individual characteristics. RESULTS The average global cortical thickness and EVI were 3.05 mm (standard deviation = 0.1 mm) and 0.31 (0.1), respectively. An interquartile range increase in EVI was associated with 11 μm (95% confidence interval = 3-20) and 9 μm (1-16) increases in cortical thickness of the parietal and occipital regions among the urban population. We did not find associations in non-urban subjects. CONCLUSIONS Our findings confirm the association between residential greenness and neurological health using alternative exposure assessments, indicating that high exposure to residential greenness can prevent neurological disorders.
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Affiliation(s)
- Kyung-Duk Min
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Ji Sun Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yu Hyun Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Hee Young Shin
- Health Promotion Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea.
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
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10
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Yuan Y, Li J, Zhang N, Fu P, Jing Z, Yu C, Zhao D, Hao W, Zhou C. Body mass index and mild cognitive impairment among rural older adults in China: the moderating roles of gender and age. BMC Psychiatry 2021; 21:54. [PMID: 33485307 PMCID: PMC7825154 DOI: 10.1186/s12888-021-03059-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 01/17/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Evidence concerning the association between body mass index (BMI) and cognitive function among older people is inconsistent. This study aimed to investigate gender and age as moderators in association between BMI and mild cognitive impairment (MCI) among rural older adults. METHODS Data were derived from the 2019 Health Service for Rural Elderly Families Survey in Shandong, China. In total, 3242 people aged 60 years and above were included in the analysis. Multilevel mixed-effects logistic regression was used to examine the moderating roles of gender and age, then further to explore the relationship between BMI and MCI. RESULTS There were 601 (18.5%) participants with MCI. Compared with normal BMI group, low BMI group had a higher risk of MCI among older people [adjusted odds ratio (aOR) = 2.08, 95% confidence interval (CI): 1.26-3.44], women (aOR = 2.06, 95% CI: 1.35-3.12), or the older elderly aged ≥75 years old (aOR = 3.20, 95% CI: 1.34-7.45). This effect remained statistically significant among older women (aOR = 3.38, 95% CI: 1.69-6.73). Among older men, elevated BMI group had a higher risk of MCI (aOR = 2.32, 95% CI: 1.17-4.61) than normal BMI group. CONCLUSIONS Gender and age moderated the association between BMI and MCI among Chinese rural older adults. Older women with low BMI were more likely to have MCI, but older men with elevated BMI were more likely to have MCI. These findings suggest rural community managers strengthen the health management by grouping the weight of older people to prevent the risk of dementia.
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Affiliation(s)
- Yemin Yuan
- grid.27255.370000 0004 1761 1174Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China ,grid.27255.370000 0004 1761 1174Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Jinan, 250012 Shandong China
| | - Jie Li
- grid.27255.370000 0004 1761 1174Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China
| | - Nan Zhang
- grid.5379.80000000121662407Manchester Institute for Collaborative Research on Ageing, Social Statistics, School of Social Sciences, The University of Manchester, Manchester, UK
| | - Peipei Fu
- grid.27255.370000 0004 1761 1174Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China
| | - Zhengyue Jing
- grid.27255.370000 0004 1761 1174Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China
| | - Caiting Yu
- grid.27255.370000 0004 1761 1174Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China
| | - Dan Zhao
- grid.27255.370000 0004 1761 1174Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China
| | - Wenting Hao
- grid.27255.370000 0004 1761 1174Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China
| | - Chengchao Zhou
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. .,NHC Key Laboratory of Health Economics and Policy Research, Shandong University, 44 Wenhuaxi Road, Jinan, 250012, Shandong, China.
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11
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Caunca MR, Simonetto M, Alperin N, Elkind MSV, Sacco RL, Wright CB, Rundek T. Measures of Adiposity and Alzheimer's Disease-Related MRI Markers: The Northern Manhattan Study. J Alzheimers Dis 2020; 70:995-1004. [PMID: 31306120 DOI: 10.3233/jad-190092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Adiposity may increase risk for dementia and Alzheimer's disease (AD), but mechanisms are unclear. OBJECTIVE To examine associations between measures of adiposity with AD-signature region cortical thickness and hippocampal volume. METHODS We used data from the Northern Manhattan Study, a clinically stroke-free cohort of mostly Hispanic participants. Exposures of interest included body mass index (BMI), waist-hip-ratio (WHR), waist circumference (WC), and adiponectin concentration, measured at study entry. AD-signature region cortical thickness and hippocampal volume were obtained using Freesurfer. We estimated associations using multivariable linear regression, adjusting for sociodemographics and health behaviors. We re-examined estimates after adjustment for APOEɛ4 allele status or carotid intima-media thickness (cIMT), among those cognitively unimpaired, and after weighting for the inverse probability of selection into the MRI sub-study. We also repeated analyses for cortical thickness in non-AD signature regions. RESULTS The sample (N = 947, 63% women, 66% Hispanic/Latino, 26% obese) had a mean (SD) age = 63 (8) years. Greater BMI and WC (both z-scored) were associated with thinner AD-signature region cortex (also z-scored) (BMI: β [95% CI] = -0.09 [-0.18, -0.01], WC: β [95% CI] = -0.11 [-0.20, -0.02]). We did not find evidence that adiposity was related to hippocampal volume. Results were consistent after adjustment for APOEɛ4 allele status or cIMT, after weighting for selection, among those cognitively unimpaired, and for non-AD signature region cortical thickness. CONCLUSION Greater BMI and WC were related to cortical thinning within and outside the AD-signature region, suggesting a global effect not specific to AD.
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Affiliation(s)
- Michelle R Caunca
- Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA.,Evelyn F. McKnight Brain Institute, University of Miami, Miami, FL, USA.,Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Marialaura Simonetto
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Noam Alperin
- Evelyn F. McKnight Brain Institute, University of Miami, Miami, FL, USA.,Department of Radiology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Mitchell S V Elkind
- Department of Epidemiology, Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Ralph L Sacco
- Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA.,Evelyn F. McKnight Brain Institute, University of Miami, Miami, FL, USA.,Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Clinton B Wright
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Tatjana Rundek
- Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA.,Evelyn F. McKnight Brain Institute, University of Miami, Miami, FL, USA.,Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
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12
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Sex-moderated association between body composition and cognition in older adults. Exp Gerontol 2020; 138:111002. [PMID: 32561399 DOI: 10.1016/j.exger.2020.111002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/26/2020] [Accepted: 06/08/2020] [Indexed: 11/21/2022]
Abstract
BACKGROUND Some studies have reported an association between body composition and cognition in older adults, but underlying mechanisms and physiological factors remain poorly understood. Moreover, sex-related differences in metabolic health and age-related cognitive decline have gained major interest lately. The present study investigated the potential moderating effect of sex on the relationship between body composition and cognition in older adults. METHODS Global cognition, assessed by the Montreal Cognitive Assessment (MoCA), and body composition, measured using dual-energy x-ray absorptiometry (DXA), were analyzed in 155 women and 65 men aged 60 years old or more. Moderation analyses were computed to determine if sex moderates the effect of the different body composition parameters on the MoCA while controlling for the body mass index and the level of education of the participants. RESULTS Sex moderated the association between total lean mass, trunk lean mass, arms lean mass, and the MoCA score. These body composition parameters were positively associated with cognition only in men. Fat mass was not associated with cognition in any sex. CONCLUSION Overall, higher lean mass and in particular trunk and arms lean mass was associated with higher cognitive abilities in older men. Longitudinal studies or intervention studies are needed to further identify physiological mechanisms that sustain the relationship between lean mass and cognition.
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13
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Kim SE, Lee JS, Woo S, Kim S, Kim HJ, Park S, Lee BI, Park J, Kim Y, Jang H, Kim SJ, Cho SH, Lee B, Lockhart SN, Na DL, Seo SW. Sex-specific relationship of cardiometabolic syndrome with lower cortical thickness. Neurology 2019; 93:e1045-e1057. [PMID: 31444241 DOI: 10.1212/wnl.0000000000008084] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 04/10/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate whether cardiometabolic factors were associated with age-related differences in cortical thickness in relation to sex. METHODS In this cross-sectional study, we enrolled 1,322 cognitively normal elderly (≥65 years old) individuals (774 [58.5%] men, 548 [41.5%] women). We measured cortical thickness using a surface-based analysis. We analyzed the associations of cardiometabolic risk factors with cortical thickness using multivariate linear regression models after adjusting for possible confounders and interactions with age. RESULT Among women, hypertension (β = -1.119 to -0.024, p < 0.05) and diabetes mellitus (β = -0.920, p = 0.03) were independently associated with lower mean cortical thickness. In addition, there was an interaction effect between obesity (body mass index [BMI] ≥27.5 kg/m2) and age on cortical thickness in women (β = -0.324 to -0.010, p < 0.05), suggesting that age-related differences in cortical thickness were more prominent in obese women compared to women with normal weight. Moreover, low education level (<6 years) was correlated with lower mean cortical thickness (β = -0.053 to -0.046, p < 0.05). Conversely, among men, only being underweight (BMI ≤18.5 kg/m2, β = -2.656 to -0.073, p < 0.05) was associated with lower cortical thickness. CONCLUSIONS Our findings suggest that cortical thickness is more vulnerable to cardiometabolic risk factors in women than in men. Therefore, sex-specific prevention strategies may be needed to protect against accelerated brain aging.
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Affiliation(s)
- Si Eun Kim
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jin San Lee
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sookyoung Woo
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Seonwoo Kim
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Hee Jin Kim
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Seongbeom Park
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Byung In Lee
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jinse Park
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Yeshin Kim
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Hyemin Jang
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Seung Joo Kim
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Soo Hyun Cho
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Byungju Lee
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Samuel N Lockhart
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Duk L Na
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sang Won Seo
- From the Departments of Neurology (S.E.K., H.J.K., S.P., H.J., S.J.K., S.H.C., D.L.N., S.W.S.), Clinical Research Design and Evaluation (S.W.S.), and Health Sciences and Technology (D.L.N.), SAIHST, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul; Department of Neurology (S.E.K., B.I.L., J.P.), Inje University College of Medicine, Haeundae Paik Hospital, Busan; Department of Neurology (J.S.L.), Kyung Hee University Hospital; Statistics and Data Center (S.W., S.K.), Center for Clinical Epidemiology (S.W.S.), and Samsung Alzheimer Research Center, Neuroscience Center (H.J.K., S.P., H.J., D.L.N., S.W.S.), Samsung Medical Center, Seoul; Department of Neurology (Y.K.), Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do; Department of Neurology (S.J.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital; Department of Neurology (S.H.C.), Chonnam National University Hospital, Gwangju; Department of Neurology (B.L.), Yuseong Geriatric Rehabilitation Hospital, Pohang, Korea; and Department of Internal Medicine (S.N.L.), Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC.
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14
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Caunca MR, Gardener H, Simonetto M, Cheung YK, Alperin N, Yoshita M, DeCarli C, Elkind MSV, Sacco RL, Wright CB, Rundek T. Measures of obesity are associated with MRI markers of brain aging: The Northern Manhattan Study. Neurology 2019; 93:e791-e803. [PMID: 31341005 DOI: 10.1212/wnl.0000000000007966] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 04/04/2019] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE To examine associations between measures of obesity in middle to early-old age with later-life MRI markers of brain aging. METHODS We analyzed data from the Northern Manhattan MRI Sub-Study (n = 1,289). Our exposures of interest were body mass index (BMI), waist circumference (WC), waist-to-hip ratio, and plasma adiponectin levels. Our outcomes of interest were total cerebral volume (TCV), cortical thickness, white matter hyperintensity volume (WMHV), and subclinical brain infarcts (SBI). Using multivariable linear and logistic regression models adjusted for sociodemographics, health behaviors, and vascular risk factors, we estimated β coefficients (or odds ratios) and 95% confidence intervals (CIs) and tested interactions with age, sex, and race/ethnicity. RESULTS On average at baseline, participants were aged 64 years and had 10 years of education; 60% were women and 66% were Caribbean Hispanic. The mean (SD) time lag between baseline and MRI was 6 (3) years. Greater BMI and WC were significantly associated with thinner cortices (BMI β [95% CI] -0.089 [-0.153, -0.025], WC β [95% CI] -0.103 [-0.169, -0.037]) in fully adjusted models. Similarly, compared to those with BMI <25, obese participants (BMI ≥30) exhibited smaller cortical thickness (β [95% CI] -0.207 [-0.374, -0.041]). These associations were particularly evident for those aged <65 years. Similar but weaker associations were observed for TCV. Most associations with WMHV and SBI did not reach statistical significance. CONCLUSIONS Adiposity in early-old age is related to reduced global gray matter later in life in this diverse sample. Future studies are warranted to elucidate causal relationships and explore region-specific associations.
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Affiliation(s)
- Michelle R Caunca
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD
| | - Hannah Gardener
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD
| | - Marialaura Simonetto
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD
| | - Ying Kuen Cheung
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD
| | - Noam Alperin
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD
| | - Mitsuhiro Yoshita
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD
| | - Charles DeCarli
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD
| | - Mitchell S V Elkind
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD
| | - Ralph L Sacco
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD
| | - Clinton B Wright
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD
| | - Tatjana Rundek
- From the Division of Epidemiology and Population Health Sciences, Department of Public Health Sciences (M.R.C.), Department of Neurology (M.R.C., H.G., M.S., R.L.S., T.R.), and Department of Radiology (N.A.), Miller School of Medicine, and Evelyn F. McKnight Brain Institute (M.R.C., N.A., R.L.S., T.R.), University of Miami, FL; Departments of Biostatistics (Y.K.C.) and Epidemiology (M.S.V.E.), Mailman School of Public Health, and Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E.), Columbia University, New York, NY; Department of Neurology (M.Y.), Hokuriku National Hospital, Nanto, Japan; Department of Neurology (C.D.), University of California, Davis; and National Institute of Neurological Disorders and Stroke (C.B.W.), Bethesda, MD.
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15
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Pegueroles J, Jiménez A, Vilaplana E, Montal V, Carmona-Iragui M, Pané A, Alcolea D, Videla L, Casajoana A, Clarimón J, Ortega E, Vidal J, Blesa R, Lleó A, Fortea J. Obesity and Alzheimer's disease, does the obesity paradox really exist? A magnetic resonance imaging study. Oncotarget 2018; 9:34691-34698. [PMID: 30410669 PMCID: PMC6205180 DOI: 10.18632/oncotarget.26162] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 09/10/2018] [Indexed: 11/25/2022] Open
Abstract
Mid-life obesity is an established risk factor for Alzheimer's disease (AD) dementia, whereas late-life obesity has been proposed as a protective state. Weight loss, which predates cognitive decline, might explain this obesity paradox on AD risk. We aimed to assess the impact of late life obesity on brain structure taking into account weight loss as a potential confounder. We included 162 elderly controls of the Alzheimer's Disease Neuroimaging Initiative (ADNI) with available 3T MRI scan. Significant weight loss was defined as relative weight loss ≥5% between the baseline and last follow-up visit. To be able to capture weight loss, only subjects with a minimum clinical and anthropometrical follow-up of 12 months were included. Individuals were categorized into three groups according to body mass index (BMI) at baseline: normal-weight (BMI<25 Kg/m2), overweight (BMI 25-30 Kg/m2) and obese (BMI>30 Kg/m2). We performed both an interaction analysis between obesity and weight loss, and stratified group analyses in the weight-stable and weigh-loss groups. We found a significant interaction between BMI and weight loss affecting brain structure in widespread cortical areas. The stratified analyses showed atrophy in occipital, inferior temporal, precuneus and frontal regions in the weight stable group, but increased cortical thickness in the weight-loss group. In conclusion, our data support that weight loss negatively confounds the association between late-life obesity and brain atrophy. The obesity paradox on AD risk might be explained by reverse causation.
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Affiliation(s)
- Jordi Pegueroles
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Amanda Jiménez
- Obesity Unit, Department of Endocrinology and Nutrition, Hospital Clinic Universitari de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Eduard Vilaplana
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Victor Montal
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - María Carmona-Iragui
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Adriana Pané
- Obesity Unit, Department of Endocrinology and Nutrition, Hospital Clinic Universitari de Barcelona, Barcelona, Spain
| | - Daniel Alcolea
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Laura Videla
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Anna Casajoana
- Department of Gastrointestinal and Obesity Surgery, Hospital de Barcelona-SCIAS, Barcelona, Spain
| | - Jordi Clarimón
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Emilio Ortega
- Obesity Unit, Department of Endocrinology and Nutrition, Hospital Clinic Universitari de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Barcelona, Spain
| | - Josep Vidal
- Obesity Unit, Department of Endocrinology and Nutrition, Hospital Clinic Universitari de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), Barcelona, Spain
| | - Rafael Blesa
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Alberto Lleó
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Juan Fortea
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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16
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Perlman G, Bartlett E, DeLorenzo C, Weissman M, McGrath P, Ogden T, Jin T, Adams P, Trivedi M, Kurian B, Oquendo M, McInnis M, Weyandt S, Fava M, Cooper C, Malchow A, Parsey R. Cortical thickness is not associated with current depression in a clinical treatment study. Hum Brain Mapp 2017; 38:4370-4385. [PMID: 28594150 DOI: 10.1002/hbm.23664] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 05/13/2017] [Accepted: 05/16/2017] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Reduced cortical thickness is a candidate biological marker of depression, although findings are inconsistent. This could reflect analytic heterogeneity, such as use of region-wise cortical thickness based on the Freesurfer Desikan-Killiany (DK) atlas or surface-based morphometry (SBM). The Freesurfer Destrieux (DS) atlas (more, smaller regions) has not been utilized in depression studies. This could also reflect differential gender and age effects. METHODS Cortical thickness was collected from 170 currently depressed adults and 52 never-depressed adults. Visually inspected and approved Freesurfer-generated surfaces were used to extract cortical thickness estimates according to the DK atlas (68 regions) and DS atlas (148 regions) for region-wise analysis (216 total regions) and for SBM. RESULTS Overall, except for small effects in a few regions, the two region-wise approaches generally failed to discriminate depressed adults from nondepressed adults or current episode severity. Differential effects by age and gender were also rare and small in magnitude. Using SBM, depressed adults showed a significantly thicker cluster in the left supramarginal gyrus than nondepressed adults (P = 0.047) but there were no associations with current episode severity. CONCLUSIONS Three analytic approaches (i.e., DK atlas, DS atlas, and SBM) converge on the notion that cortical thickness is a relatively weak discriminator of current depression status. Differential age and gender effects do not appear to represent key moderators. Robust associations with demographic factors will likely hinder translation of cortical thickness into a clinically useful biomarker. Hum Brain Mapp, 2017. © 2017 Wiley Periodicals, Inc. Hum Brain Mapp 38:4370-4385, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Greg Perlman
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | - Elizabeth Bartlett
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York
| | | | - Myrna Weissman
- New York State Psychiatric Institute & Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Patrick McGrath
- New York State Psychiatric Institute & Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Todd Ogden
- Department of Biostatistics, Mailman School of Public Health, Columbia University
| | - Tony Jin
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | - Phillip Adams
- New York State Psychiatric Institute & Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Madhukar Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Benji Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Maria Oquendo
- New York State Psychiatric Institute & Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York, NY, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Sarah Weyandt
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Crystal Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Ashley Malchow
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Ramin Parsey
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
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17
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Lavagnino L, Amianto F, Mwangi B, D'Agata F, Spalatro A, Zunta Soares GB, Daga GA, Mortara P, Fassino S, Soares JC. The relationship between cortical thickness and body mass index differs between women with anorexia nervosa and healthy controls. Psychiatry Res Neuroimaging 2016; 248:105-109. [PMID: 26774426 DOI: 10.1016/j.pscychresns.2016.01.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Revised: 11/05/2015] [Accepted: 01/03/2016] [Indexed: 10/22/2022]
Abstract
Anorexia nervosa (AN) is a severe psychiatric disorder characterized by extreme underweight. Studies conducted with structural MRI found reductions in brain volumes in several areas, but results are mixed. Cortical thickness has shown in other samples specific correlations with BMI in different BMI ranges. In this study, we applied a well validated procedure implemented in Freesurfer software toolkit to investigate cortical thickness in a sample of 21 patients with AN and 18 healthy controls, focusing on group differences and on the relationship between BMI and cortical thickness. Cortical thickness was reduced in patients with AN, but group differences did not survive correction for multiple comparisons. The relationship between BMI and cortical thickness was significantly different in patients with AN compared to controls in the left superior parietal/occipital cortex and left post central cortex. These findings suggest that the relationship between cortical thickness and BMI in patients with AN with less than two years of illness duration significantly differs from that in controls and possible biological mechanisms that may explain this relationship are discussed.
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Affiliation(s)
- Luca Lavagnino
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA.
| | - Federico Amianto
- Department of Neuroscience, AOU San Giovanni Battista, Turin, Italy
| | - Benson Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
| | - Federico D'Agata
- Department of Neuroscience, AOU San Giovanni Battista, Turin, Italy
| | - Angela Spalatro
- Department of Neuroscience, AOU San Giovanni Battista, Turin, Italy
| | - Giovana B Zunta Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
| | | | - Paolo Mortara
- Department of Neuroscience, AOU San Giovanni Battista, Turin, Italy
| | - Secondo Fassino
- Department of Neuroscience, AOU San Giovanni Battista, Turin, Italy
| | - Jair C Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
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