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Kang SH, Choi Y, Chung SJ, Moon SJ, Kim CK, Kim JH, Oh K, Yoon JS, Seo SW, Cho GJ, Koh SB. Fasting glucose variability and risk of dementia in Parkinson's disease: a 9-year longitudinal follow-up study of a nationwide cohort. Front Aging Neurosci 2024; 15:1292524. [PMID: 38235038 PMCID: PMC10791804 DOI: 10.3389/fnagi.2023.1292524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/21/2023] [Indexed: 01/19/2024] Open
Abstract
Background Diabetes is associated with an increased risk of Parkinson's disease dementia (PDD); however, it is unknown whether this association is dependent on continuous hyperglycemia, hypoglycemic events, or glycemic variability. We aimed to investigate the relationship between visit-to-visit fasting glucose variability and PDD development in patients with Parkinson's disease (PD). Methods Using data from the Korean National Health Insurance Service, we examined 9,264 patients aged ≥40 years with de novo Parkinson's disease (PD) who underwent ≥3 health examinations and were followed up until December 2019. Glucose variability was measured using the coefficient of variation, variability independent of the mean, and average real variability. Fine and Gray competing regression analysis was performed to determine the effect of glucose variability on incident PDD. Results During the 9.5-year follow-up period, 1,757 of 9,264 (19.0%) patients developed PDD. Patients with a higher visit-to-visit glucose variability had a higher risk of future PDD. In the multivariable adjusted model, patients with PD in the highest quartile (subdistribution hazard ratio [SHR] = 1.50, 95% CI 1.19 to 1.88), quartile 3 (SHR = 1.29, 95% CI 1.02 to 1.62), and quartile 2 (SHR = 1.30, 95% CI 1.04 to 1.63) were independently associated with a higher risk of PDD than those in the lowest quartile. Conclusion We highlighted the effect of long-term glucose variability on the development of PDD in patients with PD. Furthermore, our findings suggest that preventive measures for constant glucose control may be necessary to prevent PDD.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Yunjin Choi
- Biomedical Research Institute, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Su Jin Chung
- Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Republic of Korea
| | - Seok-Joo Moon
- Smart Healthcare Center, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Chi Kyung Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Ji Hyun Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyungmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Joon Shik Yoon
- Department of Physical Medicine and Rehabilitation, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Geum Joon Cho
- Department of Obstetrics and Gynecology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
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Kang SH, Yoo H, Cheon BK, Park YH, Kim SJ, Ham H, Jang H, Kim HJ, Oh K, Koh SB, Na DL, Kim JP, Seo SW. Distinct effects of cholesterol profile components on amyloid and vascular burdens. Alzheimers Res Ther 2023; 15:197. [PMID: 37950256 PMCID: PMC10636929 DOI: 10.1186/s13195-023-01342-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 10/25/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Cholesterol plays important roles in β-amyloid (Aβ) metabolism and atherosclerosis. However, the relationships of plasma cholesterol levels with Aβ and cerebral small vessel disease (CSVD) burdens are not fully understood in Asians. Herein, we investigated the relationships between plasma cholesterol profile components and Aβ and CSVD burdens in a large, non-demented Korean cohort. METHODS We enrolled 1,175 non-demented participants (456 with unimpaired cognition [CU] and 719 with mild cognitive impairment [MCI]) aged ≥ 45 years who underwent Aβ PET at the Samsung Medical Center in Korea. We performed linear regression analyses with each cholesterol (low-density lipoprotein cholesterol [LDL-c], high-density lipoprotein cholesterol [HDL-c], and triglyceride) level as a predictor and each image marker (Aβ uptake on PET, white matter hyperintensity [WMH] volume, and hippocampal volume) as an outcome after controlling for potential confounders. RESULTS Increased LDL-c levels (β = 0.014 to 0.115, p = 0.013) were associated with greater Aβ uptake, independent of the APOE e4 allele genotype and lipid-lowering medication. Decreased HDL-c levels (β = - 0.133 to - 0.006, p = 0.032) were predictive of higher WMH volumes. Increased LDL-c levels were also associated with decreased hippocampal volume (direct effect β = - 0.053, p = 0.040), which was partially mediated by Aβ uptake (indirect effect β = - 0.018, p = 0.006). CONCLUSIONS Our findings highlight that increased LDL-c and decreased HDL-c levels are important risk factors for Aβ and CSVD burdens, respectively. Furthermore, considering that plasma cholesterol profile components are potentially modified by diet, exercise, and pharmacological agents, our results provide evidence that regulating LDL-c and HDL-c levels is a potential strategy to prevent dementia.
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Grants
- 2022R1I1A1A01056956 Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education
- HI19C1132 a grant of the Korean Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea
- grant number: HU20C0111, HU22C0170 a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare and Ministry of science and ICT, Republic of Korea
- NRF-2019R1A5A2027340, NRF-2022R1F1A1063966 the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT)
- 2021-ER1006-01 the "National Institute of Health" research project
- a grant of the Korean Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea
- a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare and Ministry of science and ICT, Republic of Korea
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Heejin Yoo
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea
| | - Bo Kyoung Cheon
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea
| | - Yu Hyun Park
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Soo-Jong Kim
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hongki Ham
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea
| | - Hyemin Jang
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Hee Jin Kim
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Kyungmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Jun Pyo Kim
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea.
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea.
| | - Sang Won Seo
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea.
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Korea.
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea.
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
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Gerling KA, Stonko DP, Xun H, Shallal C, Kang SH, Brandacher G, Lauria AL, Kersey AJ, Burmeister DM, Propper BW, Sacks JM, Hicks CW, White JM. A Novel Sutureless Anastomotic Device in a Swine Model: A Proof of Concept Study. J Surg Res 2023; 291:116-123. [PMID: 37356340 PMCID: PMC10754269 DOI: 10.1016/j.jss.2023.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 03/01/2023] [Accepted: 04/17/2023] [Indexed: 06/27/2023]
Abstract
INTRODUCTION Vascular reconstruction requires technical expertise and is often time consuming. As a novel alternative to traditional hand-sewn vascular anastomoses, the VasoLock (VL), is a nonabsorbable, sutureless anastomosis device with traction anchors designed to hold free artery ends together. These anchors do not penetrate the vessel wall but adhere by leveraging the elasticity of the vessels to fasten blood vessels together. This pilot study assesses the performance and patency of this novel device in a porcine model of femoral artery injury. METHODS Female swine (n = 7) underwent femoral artery exposure for a total of 10 VL implanted. Study animals underwent hemodilution to a target hematocrit of 15% and ROTEM was used to assess coagulopathy, followed by an arterial injury via transection. The VL was inserted without any sutures. Flow-probe monitors were positioned proximal and distal to the device and flow rates were measured continuously for a total of 90 min. Flow was analyzed and presented as a ratio of distal to proximal flow with the slope of this ratio across time subsequently determined. Angiographic assessment was completed to evaluate for patency and technical complications after 90 min of implant. RESULTS The average animal weight was 44.1 ± 3.2 kg. The average mean arterial pressure at the time of implant was 51.2 ± 7.8 mmHg, median heart rate was 77.4 (IQR = 77.25-157.4) beats per minute, and average temperature was 36.1 ± 1.5°C. The baseline hematocrit was 13.5 ± 3.0%, average pH was 7.20 ± 0.1, average clotting time was 154.1 ± 58.7 s and average clot formation time was 103.4 ± 10.9 s all demonstrating the acidotic, hypothermic, and coagulopathic state of the swine at the time of insertion. During the 90-min observation period, the average flow gradient identified across the VL was 0.99 ± 0.24, indicating no significant change in flow across the VL. The average slope of the gradients was 0.0005 (P = 0.22), suggesting the ratio of proximal and distal flow did not change over the 90 min. Following 90 min of dwell time, all VL were patent without technical complication. Angiographic assessment at 90 min demonstrated no evidence of dissection, device migration, arterial extravasation, or thromboembolism with any of the 10 devices. CONCLUSIONS This pilot study demonstrated technical feasibility of the novel VL device over a 90-min observation period. All VL were patent and no negative events or complications were identified. This technology demonstrated significant promise in a coagulopathic state: additional investigation, involving long-term survival, is warranted for further validation.
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Affiliation(s)
- Kimberly A Gerling
- Department of Surgery at Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland.
| | - David P Stonko
- The Johns Hopkins Hospital, School of Medicine, Baltimore, Maryland
| | - Helen Xun
- The Johns Hopkins Hospital, School of Medicine, Baltimore, Maryland
| | | | - Sung Hoon Kang
- The Johns Hopkins University, School of Engineering, Baltimore, Maryland
| | | | - Alexis L Lauria
- Department of Surgery at Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Alexander J Kersey
- Department of Surgery at Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland
| | - David M Burmeister
- Department of Surgery at Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Brandon W Propper
- Department of Surgery at Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland
| | - Justin M Sacks
- Division of Plastic and Reconstructive Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Caitlin W Hicks
- Division of Vascular Surgery, John Hopkins University School of Medicine, Baltimore, Maryland
| | - Joseph M White
- Department of Surgery at Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, Bethesda, Maryland
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Kang SH, Kang M, Han JH, Lee ES, Lee KJ, Chung SJ, Suh SI, Koh SB, Eo JS, Kim CK, Oh K. Independent effect of Aβ burden on cognitive impairment in patients with small subcortical infarction. Alzheimers Res Ther 2023; 15:178. [PMID: 37838715 PMCID: PMC10576878 DOI: 10.1186/s13195-023-01307-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 09/17/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND The effect of amyloid-β (Aβ) on cognitive impairment in patients with small subcortical infarction remains controversial, although a growing body of evidence shows a substantial overlap between Alzheimer's disease (AD) and subcortical ischemic vascular dementia, another form of cerebral small vessel disease (cSVD). Therefore, we investigated the relationships between Aβ positivity and the development of post-stroke cognitive impairment (PSCI) in patients with small subcortical infarction. METHODS We prospectively recruited 37 patients aged ≥ 50 years, with first-ever small subcortical infarction, who underwent amyloid positron emission tomography, 3 months after stroke at Korea University Guro Hospital. We also enrolled CU participants matched for age and sex with stroke patients for comparison of Aβ positivity. Patients were followed up at 3 and 12 months after the stroke to assess cognitive decline. Logistic and linear mixed-effect regression analyses were performed to identify the effect of Aβ positivity on PSCI development and long-term cognitive trajectories. RESULTS At 3 months after stroke, 12/37 (32.4%) patients developed PSCI, and 11/37 (29.7%) patients had Aβ deposition. Aβ positivity (odds ratio [OR] = 72.2, p = 0.024) was predictive of PSCI development regardless of cSVD burden. Aβ positivity (β = 0.846, p = 0.014) was also associated with poor cognitive trajectory, assessed by the Clinical Dementia Rating-Sum of Box, for 1 year after stroke. CONCLUSIONS Our findings highlight that Aβ positivity is an important predictor for PSCI development and cognitive decline over 1 year. Furthermore, our results provide evidence that anti-AD medications may be a strategy for preventing cognitive decline in patients with small subcortical infarctions.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Minwoong Kang
- Department of Biomedical Research Center, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Jung Hoon Han
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Eun Seong Lee
- Department of Nuclear Medicine, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Su Jin Chung
- Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, South Korea
| | - Sang-Il Suh
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Jae Seon Eo
- Department of Nuclear Medicine, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea.
| | - Chi Kyung Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea.
| | - Kyungmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
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Kang SH, Yoo H, Cheon BK, Kim JP, Jang H, Kim HJ, Kang M, Oh K, Koh SB, Na DL, Chang Y, Seo SW. Sex-specific relationship between non-alcoholic fatty liver disease and amyloid-β in cognitively unimpaired individuals. Front Aging Neurosci 2023; 15:1277392. [PMID: 37901792 PMCID: PMC10603302 DOI: 10.3389/fnagi.2023.1277392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 09/25/2023] [Indexed: 10/31/2023] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) is known to be associated with a high risk of clinically diagnosed Alzheimer's disease (AD). Additionally, the prevalence of NAFLD and AD is higher in elderly females than in males. However, a sex-specific association between NAFLD and amyloid-beta (Aβ) deposition remains unclear. Therefore, we investigated the sex-specific relationship between NAFLD and Aβ deposition in a large-sized cohort of cognitively unimpaired (CU) individuals. Methods We enrolled 673 (410 [60.9%] females and 263 [39.1%] males) CU individuals aged ≥45 years who underwent Aβ positron emission tomography (PET). The presence of NAFLD, assessed using the hepatic steatosis index, and the severity of NAFLD, assessed using the Fibrosis-4 index, were considered predictors. Aβ deposition on PET was considered as an outcome. Results Females had a higher frequency of NAFLD than males (48 and 23.2%, p < 0.001). Among females, the presence of NAFLD (β = 0.216, p < 0.001) was predictive of increased Aβ deposition, whereas among males, the presence of NAFLD (β = 0.191, p = 0.064) was not associated with Aβ deposition. Among females, the presence of NAFLD with low (β = 0.254, p = 0.039), intermediate (β = 0.201, p = 0.006), and high fibrosis (β = 0.257, p = 0.027) was predictive of increased Aβ deposition. Aβ deposition also increased as the severity of NAFLD increased in females (p for trend = 0.001). Conclusion We highlight the marked influence of NAFLD and its severity on the risk of Aβ deposition in relation to sex. Furthermore, our findings suggest that sex-specific strategies regarding the management of NAFLD are necessary for the prevention of Aβ deposition.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Heejin Yoo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Bo Kyoung Cheon
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Mira Kang
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyungmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Duk L. Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yoosoo Chang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
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Yuan XT, Kang SH, Wang Q, Bai YS, Che HL. [The implementation and management of disease risk reduction claims in the European Union and the United States]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1674-1681. [PMID: 37859388 DOI: 10.3760/cma.j.cn112150-20230616-00476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
The improvement of food labeling can improve consumers' health awareness, reduce the burden of chronic diseases on the health and economy, and promote the development of the healthy food industry. Disease Risk Reduction Claim has been developed in European Union and the U.S. for over 20 years, with mature management methods and experience, but it is still lacking in China. Learning and drawing on the international management experience of food disease risk reduction claims can assist China to establish food disease risk reduction claims and improve the food health claims and labeling system.
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Affiliation(s)
- X T Yuan
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - S H Kang
- College of Engineering, China Agricultural University, Beijing 100083, China
| | - Q Wang
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Y S Bai
- Beijing Huairou Space Biology Active Health Research Institute, Beijing 101499, China
| | - H L Che
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
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Park JY, Choi SA, Kim JJ, Park YJ, Kim CK, Cho GJ, Koh SB, Kang SH. Effect of Tablet-based Cognitive Intervention on Cognition in Patients With Mild Cognitive Impairment: A Pilot Study. Dement Neurocogn Disord 2023; 22:130-138. [PMID: 38025410 PMCID: PMC10654482 DOI: 10.12779/dnd.2023.22.4.130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 08/17/2023] [Accepted: 09/05/2023] [Indexed: 12/01/2023] Open
Abstract
Background and Purpose Growing evidence has shown that cognitive interventions can mitigate cognitive decline in patients with mild cognitive impairment (MCI). However, most previous cognitive interventions have been group-based programs. Due to their intrinsic limitations, group-based programs are not widely used in clinical practice. Therefore, we have developed a tablet-based cognitive intervention program. This preliminary study investigated the feasibility and effects of a 12-week structured tablet-based program on cognitive function in patients with MCI. Methods We performed a single-arm study on 24 patients with MCI. The participants underwent a tablet-based cognitive intervention program 5 times a week over a 12-week period. The primary outcome was changes in cognitive function, measured using the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet (CERAD-K). Outcomes were evaluated at baseline, within two weeks of the last program (post-intervention), and at the six-month follow-up session. Results The completion rate of the tablet-based program was 83.3% in patients with MCI. The program improved cognitive function based on the CERAD-K total score (p=0.026), which was maintained for at least three months (p=0.004). There was also an improvement in the depression scale score (p=0.002), which persisted for three months (p=0.027). Conclusions Our 12-week structured tablet-based program is feasible for patients with MCI. Furthermore, although further studies with a double-arm design are required, the program appears to be an effective strategy to prevent cognitive decline in patients with MCI.
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Affiliation(s)
| | | | | | - Yu Jeong Park
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chi Kyung Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Geum Joon Cho
- Department of Obstetrics and Gynecology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Sung Hoon Kang
- Geumcheon Center for Dementia, Seoul, Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
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Sun B, Kang SH. A mechanically one-way material. Science 2023; 380:135. [PMID: 37053334 DOI: 10.1126/science.adh3098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
A material with asymmetric mechanical responses offers diverse potential applications.
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Affiliation(s)
- Bohan Sun
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, USA
| | - Sung Hoon Kang
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, USA
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Kang SH, Choi Y, Chung SJ, Kim CK, Kim JH, Oh K, Yoon JS, Cho GJ, Koh SB. Independent effect of cardiometabolic syndromes and depression on dementia in Parkinson's disease: A 12-year longitudinal follow-up study of a nationwide cohort. Eur J Neurol 2023; 30:911-919. [PMID: 36692249 DOI: 10.1111/ene.15689] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 12/23/2022] [Accepted: 01/16/2023] [Indexed: 01/25/2023]
Abstract
BACKGROUND We aimed to investigate the incidence rate of Parkinson's disease dementia (PDD) according to age and disease duration by sex. Furthermore, we explored the effect of each cardiometabolic syndrome and depression on the incidence of PDD. METHODS Using data from the Korean National Health Insurance Service, 79,622 patients with de novo Parkinson's disease (PD) aged ≥40 years between January 2002 and December 2010 were followed to December 2019. We analyzed the incidence of PDD according to age at PD diagnosis and disease duration. To determine cardiometabolic syndromes and depression that affected PDD, we used Fine and Gray competing regression after controlling for age and sex. RESULTS During the 12.5-year follow-up period, the incidence of PDD increased with age at PD diagnosis (0.81-45.31 per 1000 person-years among those aged 40-44 and over 80 years, respectively) and longer disease duration (22.68 per 1000 person-years in 1-2 years to 34.16 per 1000 person-years in 15-16 years). Hypertension (subdistribution hazard ratio [SHR] = 1.11; 95% confidence interval [CI] 1.07-1.16), diabetes (SHR = 1.09; 95% CI 1.05-1.14), dyslipidemia (SHR = 1.15; 95% CI 1.11-1.20), and depression (SHR = 1.36; 95% CI 1.30-1.41) independently increased the risk for PDD. CONCLUSIONS Our findings provide insights into cardiometabolic syndromes as modifiable risk factors for incident PDD. Furthermore, our results will help in designing public health policies with respect to controlling cardiometabolic syndromes and depression to prevent incident PDD in patients with PD.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Yunjin Choi
- Biomedical Research Institute, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Su Jin Chung
- Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea
| | - Chi Kyung Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Ji Hyun Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Kyungmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Joon Shik Yoon
- Department of Physical Medicine and Rehabilitation, Korea University Guro Hospital, Seoul, Korea
| | - Geum Joon Cho
- Department of Obstetrics and Gynecology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
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10
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Kang SH, Liu M, Park G, Kim SY, Lee H, Matloff W, Zhao L, Yoo H, Kim JP, Jang H, Kim HJ, Jahanshad N, Oh K, Koh SB, Na DL, Gallacher J, Gottesman RF, Seo SW, Kim H. Different effects of cardiometabolic syndrome on brain age in relation to gender and ethnicity. Alzheimers Res Ther 2023; 15:68. [PMID: 36998058 PMCID: PMC10061789 DOI: 10.1186/s13195-023-01215-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 03/20/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND A growing body of evidence shows differences in the prevalence of cardiometabolic syndrome (CMS) and dementia based on gender and ethnicity. However, there is a paucity of information about ethnic- and gender-specific CMS effects on brain age. We investigated the different effects of CMS on brain age by gender in Korean and British cognitively unimpaired (CU) populations. We also determined whether the gender-specific difference in the effects of CMS on brain age changes depending on ethnicity. METHODS These analyses used de-identified, cross-sectional data on CU populations from Korea and United Kingdom (UK) that underwent brain MRI. After propensity score matching to balance the age and gender between the Korean and UK populations, 5759 Korean individuals (3042 males and 2717 females) and 9903 individuals from the UK (4736 males and 5167 females) were included in this study. Brain age index (BAI), calculated by the difference between the predicted brain age by the algorithm and the chronological age, was considered as main outcome and presence of CMS, including type 2 diabetes mellitus (T2DM), hypertension, obesity, and underweight was considered as a predictor. Gender (males and females) and ethnicity (Korean and UK) were considered as effect modifiers. RESULTS The presence of T2DM and hypertension was associated with a higher BAI regardless of gender and ethnicity (p < 0.001), except for hypertension in Korean males (p = 0.309). Among Koreans, there were interaction effects of gender and the presence of T2DM (p for T2DM*gender = 0.035) and hypertension (p for hypertension*gender = 0.046) on BAI in Koreans, suggesting that T2DM and hypertension are each associated with a higher BAI in females than in males. In contrast, among individuals from the UK, there were no differences in the effects of T2DM (p for T2DM*gender = 0.098) and hypertension (p for hypertension*gender = 0.203) on BAI between males and females. CONCLUSIONS Our results highlight gender and ethnic differences as important factors in mediating the effects of CMS on brain age. Furthermore, these results suggest that ethnic- and gender-specific prevention strategies may be needed to protect against accelerated brain aging.
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Affiliation(s)
- Sung Hoon Kang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Mengting Liu
- School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Gilsoon Park
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Sharon Y Kim
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Hyejoo Lee
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - William Matloff
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Lu Zhao
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Heejin Yoo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jun Pyo Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyemin Jang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hee Jin Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Neda Jahanshad
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
| | - Kyumgmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Duk L Na
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - John Gallacher
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Rebecca F Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Sang Won Seo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea.
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea.
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea.
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea.
| | - Hosung Kim
- Keck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA
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11
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Kang SH, Moon SJ, Kang M, Chung SJ, Cho GJ, Koh SB. Incidence of Parkinson's disease and modifiable risk factors in Korean population: A longitudinal follow-up study of a nationwide cohort. Front Aging Neurosci 2023; 15:1094778. [PMID: 36865411 PMCID: PMC9971569 DOI: 10.3389/fnagi.2023.1094778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/27/2023] [Indexed: 02/16/2023] Open
Abstract
Introduction We aimed to investigate the incidence of Parkinson's disease (PD) by age and year for each sex as well as the modifiable risk factors for PD. Using data from the Korean National Health Insurance Service, 938,635 PD and dementia-free participants aged ≥40 years who underwent general health examinations were followed to December 2019. Methods We analyzed the PD incidence rates according to age, year and sex. To investigate the modifiable risk factors for PD, we used the Cox regression model. Additionally, we calculated the population-attributable fraction to measure the impact of the risk factors on PD. Results During follow-up, 9,924 of the 938,635 (1.1%) participants developed PD. The incidence of PD increased continuously from 2007 to 2018, reaching 1.34 per 1,000 person-years in 2018. The incidence of PD also increases with age, up to 80 y. Presence of hypertension (SHR = 1.09, 95% CI 1.05 to 1.14), diabetes (SHR = 1.24, 95% CI 1.17 to 1.31), dyslipidemia (SHR = 1.12, 95% CI 1.07 to 1.18), ischemic stroke (SHR = 1.26, 95% CI 1.17 to 1.36), hemorrhagic stroke (SHR = 1.26, 95% CI 1.08 to 1.47), ischemic heart disease (SHR = 1.09, 95% CI 1.02 to 1.17), depression (SHR = 1.61, 95% CI 1.53 to 1.69), osteoporosis (SHR = 1.24, 95% CI 1.18 to 1.30), and obesity (SHR = 1.06, 95% CI 1.01 to 1.10) were independently associated with a higher risk for PD. Discussion Our results highlight the effect of modifiable risk factors for PD in the Korean population, which will help establish health care policies to prevent the development of PD.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Seok-Joo Moon
- Smart Healthcare Center, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Minwoong Kang
- Department of Biomedical Research Center, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Su Jin Chung
- Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Republic of Korea
| | - Geum Joon Cho
- Department of Obstetrics and Gynecology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea,*Correspondence: Seong-Beom Koh,
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12
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Kim H, Gonçalves M, Kang SH, Weon BM. High density deposits of binary colloids. Sci Rep 2022; 12:22307. [PMID: 36566318 PMCID: PMC9790000 DOI: 10.1038/s41598-022-26151-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/09/2022] [Indexed: 12/25/2022] Open
Abstract
Colloids are essential materials for modern inkjet printing and coating technology. For printing and coating, it is desirable to have a high density of colloids with uniformity. Binary colloids, which consist of different size colloidal particles, have the potential to achieve high coating density and uniformity from size effects. We report a strategy to attain high-density deposits of binary colloids with uniform, crack-free, and symmetric deposits through droplet evaporation on micropillar arrays. We modify surfaces of micropillar arrays with plasma treatment to control their surface energy and investigate how binary colloidal fluids turn into well-controlled deposits during evaporation with X-ray microscopic and tomographic characterizations. We attribute temporary surface energy modification of micropillar arrays to the well-controlled high-density final deposits. This simple, low-cost, and scalable strategy would provide a viable way to get high-quality, high-density deposits of colloids for various applications.
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Affiliation(s)
- Hyoeun Kim
- grid.264381.a0000 0001 2181 989XSoft Matter Physics Laboratory, School of Advanced Materials Science and Engineering, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, 16419 South Korea ,grid.264381.a0000 0001 2181 989XResearch Center for Advanced Materials Technology, Sungkyunkwan University, Suwon, 16419 South Korea ,grid.21107.350000 0001 2171 9311Department of Mechanical Engineering and Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD 21218 USA
| | - Marta Gonçalves
- grid.264381.a0000 0001 2181 989XSoft Matter Physics Laboratory, School of Advanced Materials Science and Engineering, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, 16419 South Korea
| | - Sung Hoon Kang
- grid.21107.350000 0001 2171 9311Department of Mechanical Engineering and Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD 21218 USA
| | - Byung Mook Weon
- grid.264381.a0000 0001 2181 989XSoft Matter Physics Laboratory, School of Advanced Materials Science and Engineering, SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, 16419 South Korea ,grid.264381.a0000 0001 2181 989XResearch Center for Advanced Materials Technology, Sungkyunkwan University, Suwon, 16419 South Korea
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13
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Han G, Kim JS, Park YH, Kang SH, Kim HR, Hwangbo S, Chung TY, Shin HY, Na DL, Seo SW, Lim DH, Kim HJ. Decreased visual acuity is related to thinner cortex in cognitively normal adults: cross-sectional, single-center cohort study. Alzheimers Res Ther 2022; 14:99. [PMID: 35879770 PMCID: PMC9310451 DOI: 10.1186/s13195-022-01045-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 07/13/2022] [Indexed: 11/10/2022]
Abstract
Abstract
Background
Decreased visual acuity (VA) is reported to be a risk factor for dementia. However, the association between VA and cortical thickness has not been established. We investigated the association between VA and cortical thickness in cognitively normal adults.
Method
We conducted a cross-sectional, single-center cohort study with cognitively normal adults (aged ≥ 45) who received medical screening examinations at the Health Promotion Center at Samsung Medical Center. Subjects were categorized as bad (VA ≤ 20/40), fair (20/40 < VA ≤ 20/25), and good (VA > 20/25) VA group by using corrected VA in the Snellen system. Using 3D volumetric brain MRI, cortical thickness was calculated using the Euclidean distance between the linked vertices of the inner and outer surfaces. We analyzed the association between VA and cortical thickness after controlling for age, sex, hypertension, diabetes, dyslipidemia, intracranial volume, and education level.
Results
A total of 2756 subjects were analyzed in this study. Compared to the good VA group, the bad VA group showed overall thinner cortex (p = 0.015), especially in the parietal (p = 0.018) and occipital (p = 0.011) lobes. Topographical color maps of vertex-wise analysis also showed that the bad VA group showed a thinner cortex in the parieto-temporo-occipital area. These results were more robust in younger adults (aged 45 to 65) as decreased VA was associated with thinner cortex in more widespread regions in the parieto-temporo-occipital area.
Conclusion
Our results suggest that a thinner cortex in the visual processing area of the brain is related to decreased visual stimuli.
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14
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Kang SH, Kim J, Lee J, Koh SB. Mild cognitive impairment is associated with poor gait performance in patients with Parkinson’s disease. Front Aging Neurosci 2022; 14:1003595. [PMID: 36268193 PMCID: PMC9577227 DOI: 10.3389/fnagi.2022.1003595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 09/20/2022] [Indexed: 11/18/2022] Open
Abstract
Cognitive impairment may be commonly accompanied by gait disturbance in patients with Parkinson’s disease (PD). However, it is still controversial whether gait disturbance is associated with mild cognitive impairment (MCI) and which cognitive function has a more important effect on specific gait parameter. Our objective was to investigate the association of gait parameters with MCI and the correlation between performance on comprehensive neuropsychological tests and gait parameters in PD patients. We enrolled 257 patients with de novo PD (111 PD-normal cognition and 146 PD-MCI). All patients underwent comprehensive neuropsychological tests and gait evaluation using the GAITRite system. We used logistic regression analysis and partial correlation to identify the association between gait parameters and MCI and correlations between neuropsychological performance and gait parameters. Gait velocity (odds ratio [OR] = 0.98, 95% confidence interval [CI] = 0.97−0.99) and stride length (OR = 0.98; 95% CI = 0.97−0.99) were associated with MCI in patients with PD. Specifically, gait velocity, stride length, and double support ratio were only associated with attention and frontal-executive function performance in patients with PD. Our findings provide insight into the relationship between gait disturbance and MCI in patients with PD. Furthermore, the evaluation of gait disturbance is necessary for PD patients with cognitive impairment.
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15
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Kang SH, Lee KH, Chang Y, Choe YS, Kim JP, Jang H, Shin HY, Kim HJ, Koh SB, Na DL, Seo SW, Kang M. Gender-specific relationship between thigh muscle and fat mass and brain amyloid-β positivity. Alzheimers Res Ther 2022; 14:145. [PMID: 36195949 PMCID: PMC9531420 DOI: 10.1186/s13195-022-01086-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 09/21/2022] [Indexed: 12/02/2022]
Abstract
BACKGROUND The relationship of specific body composition in the thighs and brain amyloid-beta (Aβ) deposition remained unclear, although there were growing evidence that higher muscle and fat mass in thighs had a protective effect against cardiometabolic syndromes. To determine whether muscle mass and fat mass in the thighs affected amyloid-beta (Aβ) positivity differently in relation to gender, we investigated the association of muscle mass and fat mass with Aβ positivity using positron emission tomography (PET) in individuals without dementia. METHODS We recruited 240 participants (134 [55.8%] males, 106 [44.2%] females) without dementia ≥45 years of age who underwent Aβ PET, bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DEXA) scans of the hip in the health promotion center at Samsung Medical Center in Seoul, Korea. Lower extremity skeletal muscle mass index (LASMI) was measured using BIA, and gluteofemoral fat percentage (GFFP) was estimated using DEXA scans of the hip. We investigated the associations of LASMI and GFFP with Aβ positivity using logistic regression analyses after controlling for age, APOE4 genotype, and cognitive stage. RESULTS Higher muscle mass in the thighs, measured as LASMI (odds ratio [OR]=0.27, 95% confidence interval [CI] 0.08 to 0.84, p=0.031) was associated with a lesser risk of Aβ positivity in only females. Higher fat mass in the thighs, measured as GFFP (OR=0.84, 95% CI 0.73 to 0.95, p=0.008) was associated with a lesser risk of Aβ positivity in only males. However, the association between LAMSI (p for interaction= 0.810), GFFP (p for interaction= 0.075) and Aβ positivity did not significantly differ by gender. Furthermore, LAMSI only negatively correlated with centiloid (CL) values in females (r=-0.205, p=0.037), and GFFP only negatively correlated with CL values only in males (r=-0.253, p=0.004). CONCLUSIONS Our findings highlight the importance of recognizing that gender differences exist with respect to the specific body composition to potentially protect against Aβ deposition. Therefore, our results may help in designing gender-specific strategies for controlling body composition to prevent Aβ deposition.
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Affiliation(s)
- Sung Hoon Kang
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea ,grid.222754.40000 0001 0840 2678Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Kyung Hyun Lee
- grid.264381.a0000 0001 2181 989XDepartment of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Yoosoo Chang
- grid.264381.a0000 0001 2181 989XCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yeong Sim Choe
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea ,grid.264381.a0000 0001 2181 989XDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Jun Pyo Kim
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyemin Jang
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hee Young Shin
- grid.264381.a0000 0001 2181 989XCenter for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hee Jin Kim
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Seong-Beom Koh
- grid.222754.40000 0001 0840 2678Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Duk L. Na
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sang Won Seo
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea ,grid.264381.a0000 0001 2181 989XDepartment of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea ,grid.264381.a0000 0001 2181 989XDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea ,grid.414964.a0000 0001 0640 5613Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea ,grid.264381.a0000 0001 2181 989XDepartment of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea
| | - Mira Kang
- grid.264381.a0000 0001 2181 989XDepartment of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea ,grid.264381.a0000 0001 2181 989XCenter for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea ,grid.264381.a0000 0001 2181 989XDigital Innovation Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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16
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Cho D, Ha MC, Jo HR, Kang SH. Regional inequality of socioeconomic status and the prevalence of hypertension between rural and urban areas. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Lower socioeconomic status (SES) is associated with greater burdens of cardiovascular disease in a community. The regional disparity of SES may result in an uneven distribution of hypertension (HTN) by a region. This study aims to analyze the regional disparity in the SES and HTN burden between rural and urban areas of the Korea.
Methods
We used data from the Korea National Health and Nutrition Examination Survey (KNHANES) V (2010–2012), VI (2013–2015), and VII (201–2018). We analyzed 11,206 and 1739 subjects from Seoul metropolitan and rural area (Gangwon province), respectively. We compared socioeconomic characteristics, the distribution of HTN between two regions. Finally, we performed a multivariate logistic regression adjusting for traditional CV risk factors and SES status to examine differences in the prevalence of HTN.
Results
Subjects in Gangwon province were older than Seoul (54.6±0.4 vs 49.4±0.2 years old, p<0.001). The proportions of subjects with low economic status and low education level were significantly higher in Gangwon province compared to Seoul (low economic status; 25.6 vs 14.4%, p<0.001, low education level; 35.3 vs 16.5%, p<0.001). Mean systolic blood pressure (SBP) was higher in Gangwon compared to Seoul (121.6±0.4 vs 118.1±0.2 mmHg, p<0.001). In the longitudinal trend from KNHANES V to VII, the difference of SBP between the two regions increased (Figure). The age-matched prevalence of HTN was significantly higher in Gangwon compared to Seoul (23.8 vs 21.6%, p<0.05), and the difference of prevalence of HTN by regions longitudinally increased (Figure). In the univariate analysis, the residency in Gangwon was associated with the presence of HTN (reference: Seoul, OR=1.63; 95% CI: 1.45–1.83). In the multivariate logistic regression model, the residency in Gangwon was not associated, however, low economic status and low education level were significantly associated with the presence of HTN (economic status, OR=1.39; 95% CI: 1.17–1.67, education level, OR=1.88; 95% CI: 1.57–2.24).
Conclusion
The SES status was lower and the prevalence of HTN was higher in Gangwon compared to Seoul. The burden of HTN longitudinally increased in Gangwon, but not in Seoul. The poor SES was significantly associated with HTN. It suggests that the inequalities of SES in Gangwon may contribute to the increasing prevalence of HTN. The regional and individual disparity of SES should be considered in the establishment of public health strategies for HTN.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- D Cho
- Wonju Severance Christian Hospital , Wonju , Korea (Republic of)
| | - M C Ha
- Wonju Severance Christian Hospital , Wonju , Korea (Republic of)
| | - H R Jo
- Wonju Severance Christian Hospital , Wonju , Korea (Republic of)
| | - S H Kang
- Inje University Sanggye Paik Hospital , Seoul , Korea (Republic of)
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17
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Lee W, Kang SH, Kim SH, Chae IH. Impact of dementia and drug compliance on patients with acute myocardial infarction. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
There has been a worrying rise in the number of people with dementia, especially with many of them also suffering from acute myocardial infarction (AMI), a disease with a high mortality rate.
Purpose
We evaluated the impact of dementia on the mortality of patients with AMI and how drug compliance affects this relationship.
Methods
The data were derived from National Health Insurance Service-Senior. The total number of patients diagnosed with AMI for the first time between 2007 and 2013 was 16,835, among whom 2,021 had dementia. Medication possession ratio (MPR) was used to assess medication adherence.
Results
AMI patients with dementia had unfavorable baseline characteristics; they had significantly higher risk of all-cause mortality (Hazard ratio [HR]: 2.49; 95% confidence interval (CI): 2.34–2.66; P<0.001) and lower MPR (aspirin: 21.9% vs. 42.8%; P<0.001). AMI patients were stratified by presence of dementia and medication adherence, and the survival rate was the highest among those with no dementia and good adherence. followed by those with no dementia and poor adherence, those with dementia and good adherence, and those with dementia and poor adherence. The multivariable analysis revealed that dementia (HR: 1.64; 95% CI: 1.53–1.75; P<0.001) and poor adherence to medication (HR: 1.60; 95% CI: 1.49–1.71; P<0.001) had a significant association with all-cause mortality in AMI patients.
Conclusions
AMI patients with dementia have a higher mortality rate. Patients with dementia have poorer medication adherence than those without, negatively affecting their prognosis.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- W Lee
- Seoul National University Bundang Hospital , Seongnam , Korea (Republic of)
| | - S H Kang
- Seoul National University Bundang Hospital , Seongnam , Korea (Republic of)
| | - S H Kim
- Seoul National University Bundang Hospital , Seongnam , Korea (Republic of)
| | - I H Chae
- Seoul National University Bundang Hospital , Seongnam , Korea (Republic of)
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18
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Xun H, Shallal C, Unger J, Tao R, Torres A, Vladimirov M, Frye J, Singhala M, Horne B, Kim BS, Burke B, Montana M, Talcott M, Winters B, Frisella M, Kushner BS, Sacks JM, Guest JK, Kang SH, Caffrey J. Translational design for limited resource settings as demonstrated by Vent-Lock, a 3D-printed ventilator multiplexer. 3D Print Med 2022; 8:29. [PMID: 36102998 PMCID: PMC9471031 DOI: 10.1186/s41205-022-00148-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 06/07/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Mechanical ventilators are essential to patients who become critically ill with acute respiratory distress syndrome (ARDS), and shortages have been reported due to the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Methods
We utilized 3D printing (3DP) technology to rapidly prototype and test critical components for a novel ventilator multiplexer system, Vent-Lock, to split one ventilator or anesthesia gas machine between two patients. FloRest, a novel 3DP flow restrictor, provides clinicians control of tidal volumes and positive end expiratory pressure (PEEP), using the 3DP manometer adaptor to monitor pressures. We tested the ventilator splitter circuit in simulation centers between artificial lungs and used an anesthesia gas machine to successfully ventilate two swine.
Results
As one of the first studies to demonstrate splitting one anesthesia gas machine between two swine, we present proof-of-concept of a de novo, closed, multiplexing system, with flow restriction for potential individualized patient therapy.
Conclusions
While possible, due to the complexity, need for experienced operators, and associated risks, ventilator multiplexing should only be reserved for urgent situations with no other alternatives. Our report underscores the initial design and engineering considerations required for rapid medical device prototyping via 3D printing in limited resource environments, including considerations for design, material selection, production, and distribution. We note that optimization of engineering may minimize 3D printing production risks but may not address the inherent risks of the device or change its indications. Thus, our case report provides insights to inform future rapid prototyping of medical devices.
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19
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Kang SH, Park YH, Shin J, Kim HR, Yun J, Jang H, Kim HJ, Koh SB, Na DL, Suh MK, Seo SW. Cortical neuroanatomical changes related to specific language impairments in primary progressive aphasia. Front Aging Neurosci 2022; 14:878758. [PMID: 36092818 PMCID: PMC9452784 DOI: 10.3389/fnagi.2022.878758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 08/01/2022] [Indexed: 11/24/2022] Open
Abstract
Objective Language function test-specific neural substrates in Korean patients with primary progressive aphasia (PPA) might differ from those in other causes of dementia and English-speaking PPA patients. We investigated the correlation between language performance tests and cortical thickness to determine neural substrates in Korean patients with PPA. Materials and methods Ninety-six patients with PPA were recruited from the memory clinic. To acquire neural substrates, we performed linear regression using the scores of each language test as a predictor, cortical thickness as an outcome and age, sex, years of education, and intracranial volume as confounders. Results Poor performance in each language function test was associated with lower cortical thickness in specific cortical regions: (1) object naming and the bilateral anterior to mid-portion of the lateral temporal and basal temporal regions; (2) semantic generative naming and the bilateral anterior to mid-portion of the lateral temporal and basal temporal regions; (3) phonemic generative naming and the left prefrontal and inferior parietal regions; and (4) comprehension and the left posterior portion of the superior and middle temporal regions. In particular, the neural substrates of the semantic generative naming test in PPA patients, left anterior to mid-portion of the lateral and basal temporal regions, quite differed from those in patients with other causes of dementia. Conclusion Our findings provide a better understanding of the different pathomechanisms for language impairments among PPA patients from those with other causes of dementia.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Yu Hyun Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Jiho Shin
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hang-Rai Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Neurology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, South Korea
| | - Jihwan Yun
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 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, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Mee Kyung Suh
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- *Correspondence: Mee Kyung Suh,
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea
- Sang Won Seo, ;
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20
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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21
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Eisape A, Rennoll V, Van Volkenburg T, Xia Z, West JE, Kang SH. Soft CNT-Polymer Composites for High Pressure Sensors. Sensors (Basel) 2022; 22:5268. [PMID: 35890946 PMCID: PMC9323882 DOI: 10.3390/s22145268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/04/2022] [Accepted: 07/07/2022] [Indexed: 06/15/2023]
Abstract
Carbon−polymer composite-based pressure sensors have many attractive features, including low cost, easy integration, and facile fabrication. Previous studies on carbon−polymer composite sensors focused on very high sensitivities for low pressure ranges (10 s of kPa), which saturate quickly at higher pressures and thus are ill-suited to measure the high pressure ranges found in various applications, including those in underwater (>1 atm, 101 kPa) and industrial environments. Current sensors designed for high pressure environments are often difficult to fabricate, expensive, and, similarly to their low-pressure counterparts, have a narrow sensing range. To address these issues, this work reports the design, synthesis, characterization, and analysis of high-pressure TPU-MWCNT based composite sensors, which detect pressures from 0.5 MPa (4.9 atm) to over 10 MPa (98.7 atm). In this study, the typical approach to improve sensitivity by increasing conductive additive concentration was found to decrease sensor performance at elevated pressures. It is shown that a better approach to elevated pressure sensitivity is to increase sensor response range by decreasing the MWCNT weight percentage, which improves sensing range and resolution. Such sensors can be useful for measuring high pressures in many industrial (e.g., manipulator feedback), automotive (e.g., damping elements, bushings), and underwater (e.g., depth sensors) applications.
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Affiliation(s)
- Adebayo Eisape
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; (A.E.); (V.R.); (J.E.W.)
| | - Valerie Rennoll
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; (A.E.); (V.R.); (J.E.W.)
| | - Tessa Van Volkenburg
- Research and Exploratory Development Department (REDD), Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA; (T.V.V.); (Z.X.)
| | - Zhiyong Xia
- Research and Exploratory Development Department (REDD), Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA; (T.V.V.); (Z.X.)
| | - James E. West
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; (A.E.); (V.R.); (J.E.W.)
| | - Sung Hoon Kang
- Department of Mechanical Engineering, Hopkins Extreme Materials Institute (HEMI), Johns Hopkins University, Baltimore, MD 21218, USA
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22
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Kim JG, Kim H, Hwang J, Kang SH, Lee CN, Woo J, Kim C, Han K, Kim JB, Park KW. Differentiating amnestic from non-amnestic mild cognitive impairment subtypes using graph theoretical measures of electroencephalography. Sci Rep 2022; 12:6219. [PMID: 35418202 PMCID: PMC9008046 DOI: 10.1038/s41598-022-10322-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 04/06/2022] [Indexed: 12/12/2022] Open
Abstract
The purpose of this study was to explore different patterns of functional networks between amnestic mild cognitive impairment (aMCI) and non-aMCI (naMCI) using electroencephalography (EEG) graph theoretical analysis. The data of 197 drug-naïve individuals who complained cognitive impairment were reviewed. Resting-state EEG data was acquired. Graph analyses were performed and compared between aMCI and naMCI, as well as between early and late aMCI. Correlation analyses were conducted between the graph measures and neuropsychological test results. Machine learning algorithms were applied to determine whether the EEG graph measures could be used to distinguish aMCI from naMCI. Compared to naMCI, aMCI showed higher modularity in the beta band and lower radius in the gamma band. Modularity was negatively correlated with scores on the semantic fluency test, and the radius in the gamma band was positively correlated with visual memory, phonemic, and semantic fluency tests. The naïve Bayes algorithm classified aMCI and naMCI with 89% accuracy. Late aMCI showed inefficient and segregated network properties compared to early aMCI. Graph measures could differentiate aMCI from naMCI, suggesting that these measures might be considered as predictive markers for progression to Alzheimer’s dementia in patients with MCI.
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Affiliation(s)
- Jae-Gyum Kim
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hayom Kim
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jihyeon Hwang
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Chan-Nyoung Lee
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - JunHyuk Woo
- Laboratory of Computational Neurophysics, Brain Science Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Chanjin Kim
- Laboratory of Computational Neurophysics, Brain Science Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Kyungreem Han
- Laboratory of Computational Neurophysics, Brain Science Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Jung Bin Kim
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
| | - Kun-Woo Park
- Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
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23
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Jeon SY, Shen B, Traugutt NA, Zhu Z, Fang L, Yakacki CM, Nguyen TD, Kang SH. Synergistic Energy Absorption Mechanisms of Architected Liquid Crystal Elastomers. Adv Mater 2022; 34:e2200272. [PMID: 35128733 DOI: 10.1002/adma.202200272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Indexed: 06/14/2023]
Abstract
A unique rate-dependent energy absorption behavior of liquid crystal elastomer (LCE)-based architected materials is reported. The architected materials consist of repeating unit cells of bistable tilted LCE beams sandwiched between stiff supports. The viscoelastic behavior of the LCE causes the energy absorption to increase with strain rate according to a power-law relationship, which can be modulated by changing the degree of mesogen alignment and the loading direction relative to the director. For a strain rate of 600 s-1 , the unit cell exhibits up to a 5 MJ m-3 energy absorption density, which is two orders of magnitude higher than the same structure fabricated from poly(dimethylsiloxane) elastomer and is comparable to the dissipation from irreversible plastic deformation exhibited by denser metals. For a multilayered structure of unit cells, nonuniform buckling of the different layers produces additional viscoelastic dissipation. This synergistic interaction between viscoelastic dissipation and snap-through buckling causes the energy absorption density to increase with the number of layers. The sequence of cell collapse can be controlled by grading the beam thickness to further promote viscous dissipation and enhance the energy absorption density. It is envisioned that the study can contribute to the development of lightweight extreme energy-absorbing metamaterials.
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Affiliation(s)
- Seung-Yeol Jeon
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, 21218, USA
- Institute of Advanced Composite Materials, Korea Institute of Science and Technology (KIST), Wanju-gun, Jeonbuk, 55324, Republic of Korea
| | - Beijun Shen
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Nicholas A Traugutt
- Department of Mechanical Engineering, University of Colorado Denver, Denver, CO, 80217, USA
| | - Zeyu Zhu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Lichen Fang
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Christopher M Yakacki
- Department of Mechanical Engineering, University of Colorado Denver, Denver, CO, 80217, USA
| | - Thao D Nguyen
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, 21218, USA
- Center for Additive Manufacturing and Architected Materials, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Sung Hoon Kang
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, 21218, USA
- Center for Additive Manufacturing and Architected Materials, Johns Hopkins University, Baltimore, MD, 21218, USA
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24
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Peng G, Hu Y, Dou G, Sun Y, Huan Y, Kang SH, Piao Z. Enhanced mechanical properties of epoxy composites embedded with MF/TiO2 hybrid shell microcapsules containing n-octadecane. J IND ENG CHEM 2022. [DOI: 10.1016/j.jiec.2022.03.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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25
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Jang H, Park YH, Choe YS, Kang SH, Kang ES, Lee S, Seo SW, Kim HJ, Na DL. Amyloid Positive Hydrocephalus: A Hydrocephalic Variant of Alzheimer's Disease? J Alzheimers Dis 2021; 85:1467-1479. [PMID: 34958024 DOI: 10.3233/jad-215110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) and normal pressure hydrocephalus (NPH) commonly coexist. OBJECTIVE We aimed to characterize an overlapping syndrome of AD and NPH that presents with gait disturbance, ventriculomegaly on magnetic resonance imaging, and significant amyloid deposition on positron emission tomography (PET). METHODS Of 114 patients who underwent cerebrospinal fluid (CSF) drainage for a possible diagnosis of NPH between 2015 and 2020 in Samsung Medical Center, we identified 24 patients (21.1%) with the NPH patients with amyloid deposition on PET, which we referred to as hydrocephalic AD in this study. We compared their clinical and imaging findings with those of 123 typical AD without hydrocephalic signs/symptoms. We also investigated the frequency and potential predictors of the tap test response in hydrocephalic AD. RESULTS Evans' index was 0.36±0.03, and a disproportionately enlarged subarachnoid space was present in 54.2% of the hydrocephalic AD patients. The mean age (75.2±7.3 years) and the APOE4 frequency (68.2%) did not differ from those of AD controls. However, the hydrocephalic AD patients showed better memory and language performance, and a thinner cingulate cortex. About 42% of the hydrocephalic AD patients responded to the tap test, of whom seven underwent shunt surgery. Cognition did not improve, whereas gait improved after shunt surgery in all. CONCLUSION Hydrocephalic AD has different neuropsychological and imaging characteristics from typical AD. Future studies are warranted to further investigate the effect of CSF removal on their clinical course and to elucidate the pathophysiological interaction between amyloid and NPH.
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Affiliation(s)
- Hyemin Jang
- Department of Neurology, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yu-Hyun Park
- Department of Neurology, Sungkyunkwan University School of Medicine, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young Sim Choe
- Department of Neurology, Sungkyunkwan University School of Medicine, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.,Department of Neurology, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eun-Sook Kang
- Laboratory Medicine and Genetics, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seunghoon Lee
- Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Stem Cell & Regenerative Medicine Institute, Samsung Medical Center, Seoul, South Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
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26
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Lee SH, Kang SH, Han MS, Kwak JW, Kim HG, Lee TH, Lee DB, Kim TH. The Expression of ephrinA1/ephA2 Receptor Increases in Chronic Rhinosinusitis and ephrinA1/ephA2 Signaling Affects Rhinovirus-Induced Innate Immunity in Human Sinonasal Epithelial Cells. Front Immunol 2021; 12:793517. [PMID: 34975898 PMCID: PMC8716742 DOI: 10.3389/fimmu.2021.793517] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
EphA2 receptor and its ephrin ligands are involved in virus infection, epithelial permeability, and chemokine secretion. We hypothesized that ephrinA1/ephA2 signaling participates in rhinovirus (RV)-induced antiviral immune response in sinonasal mucosa of patients with chronic rhinosinusitis (CRS). Therefore, we investigated the expression of ephrinA1/ephA2 in normal and inflamed sinonasal mucosa and evaluated whether they regulate chemokine secretion and the production of antiviral immune mediators including interferons (IFNs) in RV-infected human primary sinonasal epithelial cells. For this purpose, the expression and distribution of ephrinA1/ephA2 in sinonasal mucosa were evaluated with RT-qPCR, immunofluorescence, and western blot. Their roles in chemokine secretion and the production of antiviral immune mediators such as type I and III IFNs, and interferon stimulated genes were evaluated by stimulating ephA2 with ephrinA1 and inactivating ephA2 with ephA2 siRNA or inhibitor in cells exposed to RV and poly(I:C). We found that ephrinA1/ephA2 were expressed in normal mucosa and their levels increased in inflamed sinonasal mucosa of CRS patients. RV infection or poly(I:C) treatment induced chemokine secretion which were attenuated by blocking the action of ephA2 with ephA2 siRNA or inhibitor. The production of antiviral immune mediators enhanced by rhinovirus or poly (I:C) is increased by blocking ephA2 compared with that of cells stimulated by either rhinovirus or poly(I:C) alone. In addition, blocking ephA2 attenuated RV replication in cultured cells. Taken together, these results describe a novel role of ephrinA1/ephA2 signaling in antiviral innate immune response in sinonasal epithelium, suggesting their participation in RV-induced development and exacerbations of CRS.
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27
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Kang SH, Park YH, Chin J, Seo SW. Cortical neuroanatomical changes related to specific neuropsychological deficits in subcortical vascular cognitive impairment. Alzheimers Dement 2021. [DOI: 10.1002/alz.057640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Sung Hoon Kang
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Republic of Korea
- Korea University Guro Hospital, College of Medicine Korea University Seoul Republic of Korea
| | - Yu Hyun Park
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Republic of Korea
| | - Juhee Chin
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Republic of Korea
| | - Sang Won Seo
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Republic of Korea
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28
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Kang SH, Jang H, Kim HJ, Park KW, Noh Y, Lee JS, Ye BS, Na DL, Lee H, Seo SW. Machine learning for the prediction of amyloid positivity in amnestic mild cognitive impairment. Alzheimers Dement 2021. [DOI: 10.1002/alz.057513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Sung Hoon Kang
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
- Korea University Guro Hospital, College of Medicine Korea University Seoul Korea
| | - Hyemin Jang
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Hee Jin Kim
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | | | - Young Noh
- Gil Medical Center, Gachon University College of Medicine Incheon Korea
| | - Jin San Lee
- Kyung Hee University Hospital Seoul South Korea
| | | | - Duk L. Na
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Hyejoo Lee
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Sang Won Seo
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
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29
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Kang SH, Chung SJ, Lee J, Koh SB. Independent effect of neurogenic orthostatic hypotension on mild cognitive impairment in Parkinson's disease. Clin Auton Res 2021; 32:43-50. [PMID: 34841452 DOI: 10.1007/s10286-021-00841-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 11/18/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE Orthostatic hypotension (OH) is an associative or causative factor of cognitive impairment in Parkinson's disease (PD). However, the association between mild cognitive impairment (MCI) and neurogenic OH directly associated with the presence of alpha-synuclein in PD remains unclear. We aimed to evaluate the relationship between MCI and neurogenic OH in patients with de novo PD. We also investigated the patterns of neuropsychological performance according to neurogenic OH. METHODS A total of 456 patients with PD-normal cognition (PD-NC, n = 204) or PD-MCI (n = 252) were recruited from multiple centers in Korea. All patients underwent comprehensive neuropsychological tests and tilt-table tests to evaluate cognitive function and neurogenic OH. We used logistic regression analysis and multivariate analysis of covariance to determine the association between MCI and neurogenic OH and the pattern of neuropsychological performance according to neurogenic OH. RESULTS Neurogenic OH (odds ratio = 3.66, 95% confidence interval 2.06 to 6.47) was independently associated with MCI in patients with de novo PD, regardless of orthostatic symptoms, while nonneurogenic OH was not. Patients with PD with neurogenic OH exhibited worse performance in frontal-executive function and visual memory function than those without neurogenic OH. CONCLUSION Our findings provide insight into neurogenic OH as an important clinical factor with cognitive impairment in individuals with PD and vice versa. Therefore, the evaluation of cognitive function is necessary in PD patients with neurogenic OH.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Korea
| | - Su Jin Chung
- Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea
| | - Jungyeun Lee
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Korea.
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30
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Kang SH, Lee J, Koh SB. Constipation is Associated With Mild Cognitive Impairment in Patients With de novo Parkinson's Disease. J Mov Disord 2021; 15:38-42. [PMID: 34781630 PMCID: PMC8820884 DOI: 10.14802/jmd.21074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 08/22/2021] [Indexed: 11/24/2022] Open
Abstract
Objective The association between gastrointestinal (GI) symptoms and cognitive profile in patients with Parkinson's disease (PD) at diagnosis remains unclear, although GI symptoms and cognitive impairment are highly prevalent in patients with PD. We investigated the relationship between constipation and cognitive status. We also aimed to identify the correlation between constipation and each neuropsychological dysfunction. Methods A total of 427 patients with de novo Parkinson's disease with normal cognition (PD-NC, n = 170) and Parkinson's disease with mild cognitive impairment (PD-MCI, n = 257) at Korea University Guro Hospital in Seoul, Korea were included. All patients underwent comprehensive neuropsychological tests and completed the Non-Motor Symptoms Scale (NMSS). The frequency and severity of constipation were assessed using the NMSS GI symptoms scale, we used logistic regression analysis and partial correlation analysis to determine the associations between constipation score, MCI, and each neuropsychological dysfunction. Results Frequent and severe constipation was associated with MCI in patients with PD at diagnosis regardless of disease severity. Specifically, constipation was related to poor performance in frontal-executive and visuospatial functions after controlling for age and sex. Conclusion Our findings may provide an understanding of constipation as a marker associated with cognitive impairment in individuals with PD. Therefore, the evaluation of cognitive function is warranted in PD patients with constipation, while further studies are necessary to investigate the detailed mechanism of our results.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Jungyeun Lee
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
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31
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Kang SH, Kim J, Kim I, Moon YA, Park S, Koh SB. Dance Intervention Using the Feldenkrais Method Improves Motor, and Non-Motor Symptoms and Gait in Parkinson's Disease: A 12-Month Study. J Mov Disord 2021; 15:53-57. [PMID: 34724780 PMCID: PMC8820889 DOI: 10.14802/jmd.21086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 07/27/2021] [Indexed: 11/24/2022] Open
Abstract
Objective The aim of this study was to assess the effects of dancing (using the Feldenkrais method) on motor and non-motor symptoms, quality of life (QoL), and objective parameters of gait at the time of intervention and at the end of the 1-year study period. Methods This was a single-arm study in which 12 subjects with Parkinson’s disease (PD) received dance intervention during a 6-month period. Objective motor scales, gait analysis, and questionnaires on non-motor symptoms were evaluated at baseline and at 3, 6, and 12 months. Results Dance intervention decreased motor scale (Unified Parkinson’s Disease Rating Scale and Tinetti scale) scores and improved gait disturbance (gait velocity and step length) without increasing levodopa equivalent dose. Furthermore, dancing decreased non-motor scale (Non-Motor Symptoms Scale and Montgomery-Asberg Depression Rating Scale) scores and improved QoL. Conclusion Our findings suggest that dance intervention can be a complementary management method for PD patients.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Jinhee Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Ilsoo Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Young Ae Moon
- Representative Feldenkrais Training Institute of Korea, Seoul, Korea
| | - Sojung Park
- Representative Feldenkrais Training Institute of Korea, Seoul, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
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32
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Kang SH, Woo SY, Kim S, Kim JP, Jang H, Koh SB, Na DL, Kim HJ, Seo SW. Independent effects of amyloid and vascular markers on long-term functional outcomes: An 8-year longitudinal study of subcortical vascular cognitive impairment. Eur J Neurol 2021; 29:413-421. [PMID: 34716964 DOI: 10.1111/ene.15159] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 09/11/2021] [Accepted: 09/18/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE Subcortical vascular cognitive impairment (SVCI) is characterized by the presence of cerebral small vessel disease (CSVD) markers. Some SVCI patients also show Alzheimer's disease and cerebral amyloid angiopathy markers. However, the effects of these imaging markers on long-term clinical outcomes have not yet been established. The present study, therefore, aimed to determine how these imaging markers influence functional disability and/or mortality. METHODS We recruited 194 participants with SVCI from the memory clinic and followed them up. All participants underwent brain magnetic resonance imaging at baseline, and 177 (91.2%) participants underwent beta-amyloid (Aβ) positron emission tomography. We examined the occurrence of ischemic or hemorrhagic strokes. We also evaluated functional disability and mortality using the modified Rankin scale. To determine the effects of imaging markers on functional disability or mortality, we used Fine and Gray competing regression or Cox regression analysis. RESULTS During a 8.6-year follow-up period, 46 of 194 patients (23.7%) experienced a stroke, 110 patients (56.7%) developed functional disabilities and 75 (38.6%) died. Aβ positivity (subdistribution hazard ratio [SHR] = 2.73), greater white matter hyperintensity (WMH) volume (SHR = 3.11) and ≥3 microbleeds (SHR = 2.29) at baseline were independent predictors of functional disability regardless of the occurrence of stroke. Greater WMH volume (hazard ratio = 2.07) was an independent predictor of mortality. CONCLUSIONS Our findings suggest that diverse imaging markers may predict long-term functional disability and mortality in patients with SVCI, which in turn may provide clinicians with a more insightful understanding of the long-term outcomes of SVCI.
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Affiliation(s)
- Sung Hoon Kang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 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
| | - Sook-Young Woo
- Statistics and Data Center, Samsung Medical Center, Seoul, South Korea
| | - Seonwoo Kim
- Statistics and Data Center, Samsung Medical Center, Seoul, South Korea
| | - Jun Pyo Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Hyemin Jang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 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
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Hee Jin Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Sang Won Seo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea.,Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea.,Samsung Alzheimer Research Center and Center for Clinical Epidemiology Medical Center, Seoul, South Korea.,Department of Intelligent Precision Healthcare Convergence, SAIHST, Sungkyunkwan University, Suwon, South Korea
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Hwang JW, Han MS, Kang SH, Kwak JW, Kim HK, Kim TH, Lee SH. Long-Term Outcomes of Nasoseptal Perforation Repair Using Anterior Maxillary Sinus Wall as an Interpositional Graft. Am J Rhinol Allergy 2021; 36:238-244. [PMID: 34636626 DOI: 10.1177/19458924211049608] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Various graft materials have been used to repair nasoseptal perforation, but there is no standardized treatment method. The anterior maxillary sinus wall is flattened in appearance and can be easily obtained in a sufficient amount for a large-sized nasoseptal perforation. OBJECTIVES The aim of this study is to determine whether the anterior maxillary sinus wall is suitable as an interpositional graft in the surgical repair of septal or nasoseptal perforation. METHODS This is a retrospective review of 21 patients who underwent repair of nasoseptal perforation using anterior maxillary sinus wall as an interpositional graft. The etiology, pre- and post-operative NOSE and GBI score, and perforation size were reviewed. The surgical outcome was considered successful if total closure was achieved after postoperative follow-up. RESULTS 19 of the 21 perforations were successfully repaired with anterior maxillary sinus wall. Failure of the repair was found in 2 patients. Causal etiology of perforation was previous septoplasty in 10 patients, and electrocautery in 1 case, but not identified in 10 cases. The largest size was 2.7 × 2.2 cm. The most common symptoms were epistaxis, crusting, and nasal obstruction. Closure of septal perforation resulted in improved subjective symptoms and quality of life which were evaluated with NOSE and GBI score. CONCLUSION Anterior maxillary sinus wall as interpositional graft between mucoperichondrial flaps can be used to reliably repair nasoseptal perforations.
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Affiliation(s)
- Jae Woong Hwang
- College of Medicine, 36899Korea University, Seoul, South Korea
| | - Mun Soo Han
- College of Medicine, 36899Korea University, Seoul, South Korea
| | - Sung Hoon Kang
- College of Medicine, 36899Korea University, Seoul, South Korea
| | - Ji Won Kwak
- College of Medicine, 36899Korea University, Seoul, South Korea
| | - Hyun Keun Kim
- College of Medicine, 36899Korea University, Seoul, South Korea
| | - Tae Hoon Kim
- College of Medicine, 36899Korea University, Seoul, South Korea
| | - Sang Hag Lee
- College of Medicine, 36899Korea University, Seoul, South Korea
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34
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Kang SH, Cho H, Shin J, Kim HR, Noh Y, Kim EJ, Lyoo CH, Jang H, Kim HJ, Koh SB, Na DL, Suh MK, Seo SW. Clinical Characteristic in Primary Progressive Aphasia in Relation to Alzheimer's Disease Biomarkers. J Alzheimers Dis 2021; 84:633-645. [PMID: 34569949 DOI: 10.3233/jad-210392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Primary progressive aphasia (PPA) is associated with amyloid-β (Aβ) pathology. However, clinical feature of PPA based on Aβ positivity remains unclear. OBJECTIVE We aimed to assess the prevalence of Aβ positivity in patients with PPA and compare the clinical characteristics of patients with Aβ-positive (A+) and Aβ-negative (A-) PPA. Further, we applied Aβ and tau classification system (AT system) in patients with PPA for whom additional information of in vivo tau biomarker was available. METHODS We recruited 110 patients with PPA (41 semantic [svPPA], 27 non-fluent [nfvPPA], 32 logopenic [lvPPA], and 10 unclassified [ucPPA]) who underwent Aβ-PET imaging at multi centers. The extent of language impairment and cortical atrophy were compared between the A+ and A-PPA subgroups using general linear models. RESULTS The prevalence of Aβ positivity was highest in patients with lvPPA (81.3%), followed by ucPPA (60.0%), nfvPPA (18.5%), and svPPA (9.8%). The A+ PPA subgroup manifested cortical atrophy mainly in the left superior temporal/inferior parietal regions and had lower repetition scores compared to the A-PPA subgroup. Further, we observed that more than 90% (13/14) of the patients with A+ PPA had tau deposition. CONCLUSION Our findings will help clinicians understand the patterns of language impairment and cortical atrophy in patients with PPA based on Aβ deposition. Considering that most of the A+ PPA patents are tau positive, understanding the influence of Alzheimer's disease biomarkers on PPA might provide an opportunity for these patients to participate in clinical trials aimed for treating atypical Alzheimer's disease.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jiho Shin
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hang-Rai Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Korea
| | - Young Noh
- Department of Neurology, Gachon University Gil Medical Center, Incheon, Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Mee Kyung Suh
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.,Samsung Alzheimer Research Center and Center for Clinical Epidemiology Medical Center, Seoul, Korea.,Department of Intelligent Precision Healthcare Convergence, SAIHST, Sungkyunkwan University, Seoul, Korea
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35
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Kang SH, Cheon BK, Kim JS, Jang H, Kim HJ, Park KW, Noh Y, Lee JS, Ye BS, Na DL, Lee H, Seo SW. Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment. J Alzheimers Dis 2021; 80:143-157. [PMID: 33523003 DOI: 10.3233/jad-201092] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer's disease. However, Aβ evaluation through Aβ positron emission tomography (PET) is limited due to high cost and safety issues. OBJECTIVE We therefore aimed to develop and validate prediction models of Aβ positivity for aMCI using optimal interpretable machine learning (ML) approaches utilizing multimodal markers. METHODS We recruited 529 aMCI patients from multiple centers who underwent Aβ PET. We trained ML algorithms using a training cohort (324 aMCI from Samsung medical center) with two-phase modelling: model 1 included age, gender, education, diabetes, hypertension, apolipoprotein E genotype, and neuropsychological test scores; model 2 included the same variables as model 1 with additional MRI features. We used four-fold cross-validation during the modelling and evaluated the models on an external validation cohort (187 aMCI from the other centers). RESULTS Model 1 showed good accuracy (area under the receiver operating characteristic curve [AUROC] 0.837) in cross-validation, and fair accuracy (AUROC 0.765) in external validation. Model 2 led to improvement in the prediction performance with good accuracy (AUROC 0.892) in cross validation compared to model 1. Apolipoprotein E genotype, delayed recall task scores, and interaction between cortical thickness in the temporal region and hippocampal volume were the most important predictors of Aβ positivity. CONCLUSION Our results suggest that ML models are effective in predicting Aβ positivity at the individual level and could help the biomarker-guided diagnosis of prodromal AD.
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Affiliation(s)
- Sung Hoon Kang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Bo Kyoung Cheon
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Ji-Sun Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hyemin Jang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hee Jin Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Kyung Won Park
- Department of Neurology, Dong-A University Medical Center, Dong-A University College of Medicine, Busan, Korea
| | - Young Noh
- Department of Neurology, Gachon University Gil Medical Center, Incheon, Korea
| | - Jin San Lee
- Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Byoung Seok Ye
- Department of Neurology, Severance hospital, Yonsei University School of Medicine, Seoul, Korea
| | - Duk L Na
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hyejoo Lee
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Sang Won Seo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.,Samsung Alzheimer Research Center and Center for Clinical Epidemiology Medical Center, Seoul, Korea.,Department of Intelligent Precision Healthcare Convergence, SAIHST, Sungkyunkwan University, Seoul, Korea
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36
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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] [What about the content of this article? (0)] [Affiliation(s)] [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 KJ, Kim IS, Oh SH, Lee SM, Lee HJ, Kang SH, Lee JB, Ryu YL, Chang CL. Evaluation of an automated specimen processing system for staining and culture for acid-fast bacilli. Int J Tuberc Lung Dis 2021; 25:677-679. [PMID: 34330357 DOI: 10.5588/ijtld.21.0206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- K J Kim
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - I-S Kim
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - S-H Oh
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - S M Lee
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - H-J Lee
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - S H Kang
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - J B Lee
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Y L Ryu
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - C L Chang
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
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Kim HR, Jang JH, Ham H, Choo SH, Park J, Kang SH, Hwangbo S, Jang H, Na DL, Seo SW, Baek JH, Kim HJ. A Case of Early-Onset Alzheimer's Disease Mimicking Schizophrenia in a Patient with Presenilin 1 Mutation (S170P). J Alzheimers Dis 2021; 83:1025-1031. [PMID: 34366354 DOI: 10.3233/jad-210650] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Atypical psychological symptoms frequently occur in early-onset Alzheimer's disease (EOAD), which makes it difficult to differentiate it from other psychiatric disorders. We report the case of a 28-year-old woman with EOAD, carrying a presenilin-1 mutation (S170P), who was initially misdiagnosed with schizophrenia because of prominent psychiatric symptoms in the first 1-2 years of the disease. Amyloid-β positron emission tomography (PET) showed remarkably high tracer uptake in the striatum and thalamus. Tau PET showed widespread cortical uptake and relatively low uptake in the subcortical and medial temporal regions. Our case advocates for considering EOAD diagnosis for young patients with psychiatric and atypical cognitive symptoms.
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Affiliation(s)
- Hang-Rai Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Republic of Korea.,Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Ja Hyun Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Honggi Ham
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Digital Health, SAIHST, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.,Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
| | - Seung Ho Choo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jeongho Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Song Hwangbo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.,Stem Cell & Regenerative Medicine Institute, Samsung Medical Center, Seoul, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Ji Hyun Baek
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Digital Health, SAIHST, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
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39
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Kim J, Woo SY, Kim S, Jang H, Kim J, Kim J, Kang SH, Na DL, Chin J, Apostolova LG, Seo SW, Kim HJ. Differential effects of risk factors on the cognitive trajectory of early- and late-onset Alzheimer's disease. Alzheimers Res Ther 2021; 13:113. [PMID: 34127075 PMCID: PMC8204422 DOI: 10.1186/s13195-021-00857-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 06/03/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Although few studies have shown that risk factors for Alzheimer's disease (AD) are associated with cognitive decline in AD, not much is known whether the impact of risk factors differs between early-onset AD (EOAD, symptom onset < 65 years of age) versus late-onset AD (LOAD). Therefore, we evaluated whether the impact of Alzheimer's disease (AD) risk factors on cognitive trajectories differ in EOAD and LOAD. METHODS We followed-up 193 EOAD and 476 LOAD patients without known autosomal dominant AD mutation for 32.3 ± 23.2 months. Mixed-effects model analyses were performed to evaluate the effects of APOE ε4, low education, hypertension, diabetes, dyslipidemia, and obesity on cognitive trajectories. RESULTS APOE ε4 carriers showed slower cognitive decline in general cognitive function, language, and memory domains than APOE ε4 carriers in EOAD but not in LOAD. Although patients with low education showed slower cognitive decline than patients with high education in both EOAD and LOAD, the effect was stronger in EOAD, specifically in frontal-executive function. Patients with hypertension showed faster cognitive decline than did patients without hypertension in frontal-executive and general cognitive function in LOAD but not in EOAD. Patients with obesity showed slower decline in general cognitive function than non-obese patients in EOAD but not in LOAD. CONCLUSIONS Known risk factors for AD were associated with slower cognitive decline in EOAD but rapid cognitive decline in LOAD.
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Affiliation(s)
- Jaeho Kim
- Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong-si, Gyeonggi-do, Republic of Korea
| | - Sook-Young Woo
- Statistics and Data Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Seonwoo Kim
- Statistics and Data Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Junpyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Jisun Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Juhee Chin
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Liana G Apostolova
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
- Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea.
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.
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40
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Fang L, Yan Y, Agarwal O, Seppala JE, Migler KD, Nguyen TD, Kang SH. Estimations of the effective Young's modulus of specimens prepared by fused filament fabrication. Scr Mater 2021; 42:10.1016/j.addma.2021.101983. [PMID: 38487257 PMCID: PMC10938458 DOI: 10.1016/j.addma.2021.101983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
The elastic response of homogeneous isotropic materials is most commonly represented by their Young's modulus (E), but geometric variability associated with additive manufacturing results in materials that are neither homogeneous nor isotropic. Here we investigated methods to estimate the effective elastic modulus ( E eff ) of samples fabricated by fused filament fabrication. We conducted finite element analysis (FEA) on printed samples based on material properties and CT-scanned geometries. The analysis revealed how the layer structure of a specimen altered the internal stress distribution and the resulting E eff . We also investigated different empirical methods to estimate E eff as guides. We envision the findings from our study can provide guidelines for modulus estimation of as-printed specimens, with the potential of applying to other extrusion-based additive manufacturing technologies.
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Affiliation(s)
- Lichen Fang
- Department of Mechanical Engineering and Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Yishu Yan
- Department of Mechanical Engineering and Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Ojaswi Agarwal
- Department of Mechanical Engineering and Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Jonathan E. Seppala
- Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
| | - Kalman D. Migler
- Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
| | - Thao D. Nguyen
- Department of Mechanical Engineering and Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Sung Hoon Kang
- Department of Mechanical Engineering and Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD 21218, USA
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41
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Xun H, Clarke S, Baker N, Shallal C, Lee E, Fadavi D, Wong A, Brandacher G, Kang SH, Sacks JM. Method, Material, and Machine: A Review for the Surgeon Using Three-Dimensional Printing for Accelerated Device Production. J Am Coll Surg 2021; 232:726-737.e19. [PMID: 33896478 DOI: 10.1016/j.jamcollsurg.2021.01.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 12/23/2020] [Accepted: 01/13/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND Physicians are at the forefront of identifying innovative targets to address current medical needs. 3D printing technology has emerged as a state-of-the-art method of prototyping medical devices or producing patient-specific models that is more cost-efficient, with faster turnaround time, in comparison to traditional prototype manufacturing. However, initiating 3D printing projects can be daunting due to the engineering learning curve, including the number of methodologies, variables, and techniques for printing from which to choose. To help address these challenges, we sought to create a guide for physicians interested in venturing into 3D printing. STUDY DESIGN All commercially available, plug-and-play, material and stereolithography printers costing less than $15,000 were identified via web search. Companies were contacted to obtain quotes and information sheets for all printer models. The qualifying printers' manufacturer specification sheets were reviewed, and pertinent variables were extracted. RESULTS We reviewed 309 commercially available printers and materials and identified 118 printers appropriate for clinicians desiring plug-and-play models for accelerated device production. We synthesized this information into a decision-making tool to choose the appropriate parameters based on project goals. CONCLUSIONS There is a growing clinical need for medical devices to reduce costs of care and increase access to personalized treatments; however, the learning curve may be daunting for surgeons. In this review paper, we introduce the "3Ms of 3D printing" for medical professionals and provide tools and data sheets for selection of commercially available, affordable, plug-and-play 3D printers appropriate for surgeons interested in innovation.
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Affiliation(s)
- Helen Xun
- Department of Plastic and Reconstructive Surgery, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Scott Clarke
- Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Nusaiba Baker
- Medical Scientist Training Program, Emory University School of Medicine, Atlanta, GA
| | - Christopher Shallal
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD
| | - Erica Lee
- Department of Plastic and Reconstructive Surgery, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Darya Fadavi
- Department of Plastic and Reconstructive Surgery, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Alison Wong
- Department of Plastic and Reconstructive Surgery, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Gerald Brandacher
- Department of Plastic and Reconstructive Surgery, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Sung Hoon Kang
- Department of Mechanical Engineering and Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD
| | - Justin M Sacks
- Department of Plastic and Reconstructive Surgery, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, MD; Division of Plastic and Reconstructive Surgery, Washington University in St Louis School of Medicine, St Louis, MO.
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42
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Kang SH, Park SJ, Park JW, Kim WS, Seo SJ. Paradoxical darkening following picosecond laser and successful treatment. Clin Exp Dermatol 2021; 46:1128-1129. [PMID: 33774841 DOI: 10.1111/ced.14661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2021] [Indexed: 11/28/2022]
Affiliation(s)
- S H Kang
- Departments of Plastic Surgery, Chung-Ang University College of Medicine, Seoul, Korea
| | - S J Park
- Dermatology, Chung-Ang University College of Medicine, Seoul, Korea
| | - J W Park
- Dermatology, Chung-Ang University College of Medicine, Seoul, Korea
| | - W S Kim
- Departments of Plastic Surgery, Chung-Ang University College of Medicine, Seoul, Korea
| | - S J Seo
- Dermatology, Chung-Ang University College of Medicine, Seoul, Korea
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43
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Kang SH, Park YH, Kim JP, Kim JS, Kim CH, Jang H, Kim HJ, Koh SB, Na DL, Chin J, Seo SW. Cortical neuroanatomical changes related to specific neuropsychological deficits in subcortical vascular cognitive impairment. Neuroimage Clin 2021; 30:102685. [PMID: 34215155 PMCID: PMC8102616 DOI: 10.1016/j.nicl.2021.102685] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 04/06/2021] [Accepted: 04/18/2021] [Indexed: 11/30/2022]
Abstract
Poor performances in neuropsychological tests were associated with cortical atrophy. Neural substrates in Aβ (−) SVCI differed from those in ADCI. Neural substrate of episodic memory was frontal regions in Aβ (−) SVCI. Neural substrates of three neuropsychological tests showed laterality.
Objective Neuropsychological test-specific neural substrates in subcortical vascular cognitive impairment (SVCI) are expected to differ from those in Alzheimer’s disease-related cognitive impairment (ADCI) but the details are unclear. To determine neural substrates related to cerebral small vessel disease, we investigated the correlations between cognitive dysfunctions measured by standardized neuropsychological tests and cortical thickness in a large sample of participants with amyloid negative (Aβ (−)) SVCI. Methods One hundred ninety-eight participants with Aβ (−) SVCI were recruited from the memory clinic between November 2007 to August 2018. To acquire neural substrates, we performed linear regression using the scores of each neuropsychological test as a predictor, cortical thickness as an outcome, and age, sex, education years, intracranial volume and white matter hyperintensity (WMH) as confounders. Results Poor performances in each neuropsychological test were associated with cortical atrophy in certain brain regions regardless of WMH. Especially, not the medial temporal but the frontal and posterior cingulate regions with cortical atrophy were mainly associated with memory impairment. Poor performance in animal fluency was more likely to be associated with cortical atrophy in the left hemisphere, while poor performance in the visuospatial memory test was more likely to be associated with cortical atrophy in the right hemisphere. Conclusions Our findings suggested that cortical atrophy was an important factor of cognitive impairment in Aβ (−) SVCI regardless of WMH. Furthermore, our findings might give clinicians a better understanding of specific neural substrates of neuropsychological deficits in patients with SVCI.
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Affiliation(s)
- Sung Hoon Kang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea; Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Yu Hyun Park
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea
| | - Jun Pyo Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea
| | - Ji-Sun Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea
| | - Chi Hun Kim
- Department of Neurology, Kyungpook National University Chilgok Hospital, Kyungpook National University School of Medicine, Daegu, South Korea; Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Hyemin Jang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea
| | - Hee Jin Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Duk L Na
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea
| | - Juhee Chin
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea.
| | - Sang Won Seo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea; Samsung Alzheimer Research Center and Center for Clinical Epidemiology Medical Center, Seoul, South Korea.
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44
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Kim JP, Kim J, Jang H, Kim J, Kang SH, Kim JS, Lee J, Na DL, Kim HJ, Seo SW, Park H. Predicting amyloid positivity in patients with mild cognitive impairment using a radiomics approach. Sci Rep 2021; 11:6954. [PMID: 33772041 PMCID: PMC7997887 DOI: 10.1038/s41598-021-86114-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 02/23/2021] [Indexed: 02/01/2023] Open
Abstract
Predicting amyloid positivity in patients with mild cognitive impairment (MCI) is crucial. In the present study, we predicted amyloid positivity with structural MRI using a radiomics approach. From MR images (including T1, T2 FLAIR, and DTI sequences) of 440 MCI patients, we extracted radiomics features composed of histogram and texture features. These features were used alone or in combination with baseline non-imaging predictors such as age, sex, and ApoE genotype to predict amyloid positivity. We used a regularized regression method for feature selection and prediction. The performance of the baseline non-imaging model was at a fair level (AUC = 0.71). Among single MR-sequence models, T1 and T2 FLAIR radiomics models also showed fair performances (AUC for test = 0.71-0.74, AUC for validation = 0.68-0.70) in predicting amyloid positivity. When T1 and T2 FLAIR radiomics features were combined, the AUC for test was 0.75 and AUC for validation was 0.72 (p vs. baseline model < 0.001). The model performed best when baseline features were combined with a T1 and T2 FLAIR radiomics model (AUC for test = 0.79, AUC for validation = 0.76), which was significantly better than those of the baseline model (p < 0.001) and the T1 + T2 FLAIR radiomics model (p < 0.001). In conclusion, radiomics features showed predictive value for amyloid positivity. It can be used in combination with other predictive features and possibly improve the prediction performance.
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Affiliation(s)
- Jun Pyo Kim
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea ,grid.414964.a0000 0001 0640 5613Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jonghoon Kim
- grid.264381.a0000 0001 2181 989XDepartment of Electronic and Computer Engineering, Sungkyunkwan University, Suwon, Korea
| | - Hyemin Jang
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea ,grid.414964.a0000 0001 0640 5613Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jaeho Kim
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea ,grid.414964.a0000 0001 0640 5613Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, Korea ,grid.256753.00000 0004 0470 5964Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Sung Hoon Kang
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea ,grid.414964.a0000 0001 0640 5613Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Ji Sun Kim
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea ,grid.414964.a0000 0001 0640 5613Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jongmin Lee
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea ,grid.414964.a0000 0001 0640 5613Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Duk L. Na
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea ,grid.414964.a0000 0001 0640 5613Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, Korea ,grid.264381.a0000 0001 2181 989XDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hee Jin Kim
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea ,grid.414964.a0000 0001 0640 5613Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Sang Won Seo
- grid.264381.a0000 0001 2181 989XDepartment of Neurology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, South Korea ,grid.414964.a0000 0001 0640 5613Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea ,grid.414964.a0000 0001 0640 5613Neuroscience Center, Samsung Medical Center, Seoul, Korea ,grid.264381.a0000 0001 2181 989XDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea ,grid.414964.a0000 0001 0640 5613Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea ,grid.264381.a0000 0001 2181 989XDepartment of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon-si, Korea
| | - Hyunjin Park
- grid.410720.00000 0004 1784 4496Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea ,grid.264381.a0000 0001 2181 989XSchool of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon-si, Republic of Korea
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45
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Abstract
Microscale programmable shape-memory actuators based on reversible electrochemical reactions can provide exciting opportunities for microrobotics.
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Affiliation(s)
- Mostafa Omar
- Department of Mechanical Engineering, Hopkins Extreme Materials Institute, Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA
| | - Bohan Sun
- Department of Mechanical Engineering, Hopkins Extreme Materials Institute, Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA
| | - Sung Hoon Kang
- Department of Mechanical Engineering, Hopkins Extreme Materials Institute, Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA.
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Kang SH, Kim ME, Jang H, Kwon H, Lee H, Kim HJ, Seo SW, Na DL. Amyloid Positivity in the Alzheimer/Subcortical-Vascular Spectrum. Neurology 2021; 96:e2201-e2211. [PMID: 33722997 DOI: 10.1212/wnl.0000000000011833] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 01/28/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We investigated the frequency of β-amyloid (Aβ) positivity in 9 groups classified according to a combination of 3 different cognition states and 3 distinct levels of white matter hyperintensities (WMH) (minimal, moderate, and severe) and aimed to determine which factors were associated with Aβ after controlling for WMH and vice versa. METHODS A total of 1,047 individuals with subjective cognitive decline (SCD, n = 294), mild cognitive impairment (MCI, n = 237), or dementia (n = 516) who underwent Aβ PET scans were recruited from the memory clinic at Samsung Medical Center in Seoul, Korea. We investigated the following: (1) Aβ positivity in the 9 groups, (2) the relationship between Aβ positivity and WMH severity, and (3) clinical and genetic factors independently associated with Aβ or WMH. RESULTS Aβ positivity increased as the severity of cognitive impairment increased (SCD [15.7%], MCI [43.5%], and dementia [76.2%]), whereas it decreased as the severity of WMH increased (minimal [54.5%], moderate [53.9%], and severe [41.0%]) or the number of lacunes (0 [59.0%], 1-3 [42.0%], and >3 [23.4%]) increased. Aβ positivity was associated with higher education, absence of diabetes, and presence of APOE ε4 after controlling for cognitive and WMH status. CONCLUSION Our analysis of Aβ positivity involving a large sample classified according to the stratified cognitive states and WMH severity indicates that Alzheimer and cerebral small vessel diseases lie on a continuum. Our results offer clinicians insightful information about the association among Aβ, WMH, and cognition.
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Affiliation(s)
- Sung Hoon Kang
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Monica Eunseo Kim
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Hyemin Jang
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Hojeong Kwon
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Hyejoo Lee
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Hee Jin Kim
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea
| | - Duk L Na
- From the Department of Neurology, Sungkyunkwan University School of Medicine (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), Neuroscience Center (S.H.K., H.J., H.L., H.J.K., S.W.S., D.L.N.), and Stem Cell & Regenerative Medicine Institute (D.L.N.), Samsung Medical Center; Department of Neurology (S.H.K.), Korea University Guro Hospital, Korea University College of Medicine, Seoul; Chicago College of Osteopathic Medicine (M.E.K.), Midwestern University, IL; New York University (H.K.), NY; and Department of Health Sciences and Technology, SAIHST (D.L.N.), Sungkyunkwan University, Seoul, Korea.
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Kim J, Kang SH, Kim JS, Kim JP, Woo S, Kim S, Na DL, Seo SW, Kim HJ. Impact of
APOE
e4 on cognitive trajectory in early‐onset vs late‐onset Alzheimer’s disease. Alzheimers Dement 2020. [DOI: 10.1002/alz.042218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Jaeho Kim
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Sung Hoon Kang
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Ji Sun Kim
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Jun Pyo Kim
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Sook‐Young Woo
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Seonwoo Kim
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Duk L Na
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Sang Won Seo
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Hee Jin Kim
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
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Lee J, Kim JP, Jang H, Kim J, Kim JS, Jung YH, Seo SW, Na DL, Oh SY, Lee JM, Kang SH, Kim HJ. Optical coherence tomography angiography in cognitively impaired patients: Vascular and neurodegenerative perspectives. Alzheimers Dement 2020. [DOI: 10.1002/alz.041738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
| | - Jun Pyo Kim
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Hyemin Jang
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Jaeho Kim
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Ji Sun Kim
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Young Hee Jung
- School of Medicine Sungkyunkwan University Seoul South Korea
| | - Sang Won Seo
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Duk L Na
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | | | - Jong Min Lee
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Sung Hoon Kang
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
| | - Hee Jin Kim
- Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea
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Kim JS, Han G, Park Y, Kang SH, Kim J, Lee JM, Seo SW, Lim DH, Kim HJ. Effect of decreased visual acuity on cortical thickness: A possible risk factor for neurodegeneration. Alzheimers Dement 2020. [DOI: 10.1002/alz.045776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Ji Sun Kim
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Gyule Han
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Yuhyun Park
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Sung Hoon Kang
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Jaeho Kim
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Jong Min Lee
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Sang Won Seo
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Dong Hui Lim
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
| | - Hee Jin Kim
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Korea
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Jung YH, Jang H, Park SB, Choe YS, Park Y, Kang SH, Lee JM, Kim JS, Kim J, Kim JP, Kim HJ, Na DL, Seo SW. Strictly Lobar Microbleeds Reflect Amyloid Angiopathy Regardless of Cerebral and Cerebellar Compartments. Stroke 2020; 51:3600-3607. [PMID: 33198580 DOI: 10.1161/strokeaha.119.028487] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND AND PURPOSE We aimed to determine whether lobar cerebellar microbleeds or concomitant lobar cerebellar and deep microbleeds, in the presence of lobar cerebral microbleeds, attribute to underlying advanced cerebral amyloid angiopathy pathology or hypertensive arteriopathy. METHODS We categorized 71 patients with suspected cerebral amyloid angiopathy markers (regardless of the presence of deep and cerebellar microbleeds) into 4 groups according to microbleed distribution: L (strictly lobar cerebral, n=33), L/LCbll (strictly lobar cerebral and strictly lobar cerebellar microbleeds, n=13), L/Cbll/D (lobar, cerebellar, and deep microbleeds, n=17), and L/D (lobar and deep, n=8). We additionally categorized patients with cerebellar microbleeds into 2 groups according to dentate nucleus involvement: strictly lobar cerebellar (n=16) and dentate (n=14). We then compared clinical characteristics, Aβ (amyloid-β) positivity on PET (positron emission tomography), magnetic resonance imaging cerebral amyloid angiopathy markers, and cerebral small vessel disease burden among groups. RESULTS The frequency of Aβ positivity was higher in the L and L/LCbll groups (81.8% and 84.6%) than in the L/Cbll/D and L/D groups (37.5% and 29.4%; P<0.001), while lacune numbers were lower in the L and L/LCbll groups (1.7±3.3 and 1.7±2.6) than in the L/Cbll/D and L/D groups (8.0±10.3 and 13.4±17.7, P=0.001). The L/LCbll group had more lobar cerebral microbleeds than the L group (93.2±121.8 versus 38.0±40.8, P=0.047). The lobar cerebellar group had a higher Aβ positivity (75% versus 28.6%, P=0.011) and lower lacune number (2.3±3.7 versus 8.6±1.2, P=0.041) than the dentate group. CONCLUSIONS Strictly lobar cerebral and cerebellar microbleeds are related to cerebral amyloid angiopathy, whereas any combination of concurrent lobar and deep microbleeds suggest hypertensive angiopathy regardless of cerebral or cerebellar compartments.
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Affiliation(s)
- Young Hee Jung
- Department of Neurology, Myongji Hospital, Hanyang University, Goyang, Korea (Y.H.J)
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Seong Beom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | | | | | - Sung Hoon Kang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Jong Min Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Ji Sun Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Jaeho Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.)
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Stem Cell & Regenerative Medicine Institute, Samsung Medical Center, Seoul, Korea (D.L.N.)
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Neuroscience Center, Samsung Medical Center, Samsung Alzheimer Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea (H.J., S.B.P., S.H.K., J.M.L., J.S.K., J.K., J.P.K., H.J.K., D.L.N., S.W.S.).,Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea (S.W.S.).,Department of Health Science and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea (S.W.S.)
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