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Xue X, Mei S, Huang A, Wu Z, Zeng J, Song H, An J, Zhang L, Liu G, Zhou L, Cai Y, Xu B, Xu E, Chan P. Alzheimer's Disease Related Biomarkers Were Associated with Amnestic Cognitive Impairment in Parkinson's Disease: A Cross-Sectional Cohort Study. Brain Sci 2024; 14:787. [PMID: 39199480 PMCID: PMC11352303 DOI: 10.3390/brainsci14080787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Revised: 07/05/2024] [Accepted: 07/16/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND Cognitive impairment is common in patients with Parkinson's disease (PD) and occurs through multiple mechanisms, including Alzheimer's disease (AD) pathology and the involvement of α-synucleinopathies. We aimed to investigate the pathological biomarkers of both PD and AD in plasma and neuronal extracellular vesicles (EVs) and their association with different types of cognitive impairment in PD patients. METHODS A total of 122 patients with PD and 30 healthy controls were included in this cross-sectional cohort study between March 2021 and July 2023. Non-dementia PD patients were divided into amnestic and non-amnestic groups according to the memory domain of a neuropsychological assessment. Plasma and neuronal EV biomarkers, including α-synuclein (α-syn), beta-amyloid (Aβ), total tau (T-tau), phosphorylated tau181 (p-tau181), and glial fibrillary acidic protein (GFAP), were measured using a single-molecule array and a chemiluminescence immunoassay, respectively. RESULTS Neuronal EV but not plasma α-syn levels, were significantly increased in PD as compared to healthy controls, and they were positively associated with UPDRS part III scores and the severity of cognitive impairment. A lower plasma Aβ42 level and higher neuronal EV T-tau level were found in the amnestic PD group compared to the non-amnestic PD group. CONCLUSIONS The results of the current study demonstrate that neuronal EV α-syn levels can be a sensitive biomarker for assisting in the diagnosis and disease severity prediction of PD. Both AD and PD pathologies are important factors in cognitive impairment associated with PD, and AD pathologies are more involved in amnestic memory deficit in PD.
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Affiliation(s)
- Xiaofan Xue
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China; (X.X.); (S.M.); (A.H.); (Z.W.); (J.Z.); (B.X.); (E.X.)
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100043, China;
| | - Shanshan Mei
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China; (X.X.); (S.M.); (A.H.); (Z.W.); (J.Z.); (B.X.); (E.X.)
| | - Anqi Huang
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China; (X.X.); (S.M.); (A.H.); (Z.W.); (J.Z.); (B.X.); (E.X.)
| | - Zhiyue Wu
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China; (X.X.); (S.M.); (A.H.); (Z.W.); (J.Z.); (B.X.); (E.X.)
| | - Jingrong Zeng
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China; (X.X.); (S.M.); (A.H.); (Z.W.); (J.Z.); (B.X.); (E.X.)
| | - Haixia Song
- Department of Neurology, The People’s Hospital of Shijiazhuang, Shijiazhuang 050000, China;
| | - Jing An
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China;
| | - Lijuan Zhang
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital of Capital Medical University, Beijing 100053, China;
| | - Guozhen Liu
- Parkinson’s Disease Cloud Medical Technology Company, Beijing 100055, China;
| | - Lichun Zhou
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100043, China;
| | - Yanning Cai
- Department of Clinical Biobank and Central Laboratory, Xuanwu Hospital of Capital Medical University, Beijing 100053, China;
| | - Baolei Xu
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China; (X.X.); (S.M.); (A.H.); (Z.W.); (J.Z.); (B.X.); (E.X.)
| | - Erhe Xu
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China; (X.X.); (S.M.); (A.H.); (Z.W.); (J.Z.); (B.X.); (E.X.)
| | - Piu Chan
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China; (X.X.); (S.M.); (A.H.); (Z.W.); (J.Z.); (B.X.); (E.X.)
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Huang Q, Xun Z, Lin J, Xie R, Zhu C, Wang L, Shang H, Wu S, Ou Q, Liu C. A novel microfluidic chip-based digital PCR method for enhanced sensitivity in the early diagnosis of colorectal cancer via mSEPT9. Clin Chim Acta 2024; 554:117781. [PMID: 38224929 DOI: 10.1016/j.cca.2024.117781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 01/08/2024] [Accepted: 01/10/2024] [Indexed: 01/17/2024]
Abstract
BACKGROUND To enhance the sensitivity of plasma methylated Septin9 gene (mSEPT9) detection in colorectal cancer (CRC) screening, we developed a microfluidic chip-based digital PCR (dPCR) method suitable for low-concentration samples, aiming to apply it for mSEPT9 detection in CRC diagnosis. METHODS Our microfluidic chip-based dPCR method utilized specific primers and probes with locked nucleic acids (LNAs) modifications for mSEPT9 detection. We evaluated its performance, including detection limit, specificity, and linear range, comparing it with a commercial qPCR reagent kit using the same samples (95 CRC, 23 non-CRC). RESULTS The LNAs-modified dPCR method showed a linear range of 100-104 copies/μL and a detection limit of 100 copies/μL. Clinical testing revealed that our dPCR method exhibited a sensitivity of 82.11 % and specificity of 95.65 % for CRC diagnosis, outperforming the commercial qPCR kit (sensitivity: 58.95 %, specificity: 91.30 %), particularly in Stage I with a diagnostic sensitivity of 90.91 %. Combining mSEPT9 and carcinoembryonic antigen (CEA) improved diagnostic sensitivity to 91.49 %. CONCLUSIONS Our accurate microfluidic chip-based dPCR method, especially in combination with CEA, holds promise for effective CRC screening and timely interventions, offering enhanced mSEPT9 quantification over conventional qPCR.
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Affiliation(s)
- Qunfang Huang
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China; Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, Fujian, China
| | - Zhen Xun
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China; Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, Fujian, China; The First Clinical College, Fujian Medical University, Fuzhou 350005, Fujian, China
| | - Junyu Lin
- The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, Fujian, China
| | - Rubing Xie
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China; The First Clinical College, Fujian Medical University, Fuzhou 350005, Fujian, China
| | - Chenggong Zhu
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China; The First Clinical College, Fujian Medical University, Fuzhou 350005, Fujian, China
| | - Long Wang
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China; The First Clinical College, Fujian Medical University, Fuzhou 350005, Fujian, China
| | - Hongyan Shang
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China; Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, Fujian, China
| | - Songhang Wu
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China; Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, Fujian, China
| | - Qishui Ou
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China; Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, Fujian, China; The First Clinical College, Fujian Medical University, Fuzhou 350005, Fujian, China.
| | - Can Liu
- Department of Laboratory Medicine, Fujian Key Laboratory of Laboratory Medicine, Gene Diagnosis Research Center, Fujian Clinical Research Center for Laboratory Medicine of Immunology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, Fujian, China; Department of Laboratory Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, Fujian, China; The First Clinical College, Fujian Medical University, Fuzhou 350005, Fujian, China.
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Park CJ, Eom J, Park KS, Park YW, Chung SJ, Kim YJ, Ahn SS, Kim J, Lee PH, Sohn YH, Lee SK. An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson's disease. NPJ Parkinsons Dis 2023; 9:127. [PMID: 37648733 PMCID: PMC10468504 DOI: 10.1038/s41531-023-00566-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 08/02/2023] [Indexed: 09/01/2023] Open
Abstract
Cognitive impairment in Parkinson's disease (PD) severely affects patients' prognosis, and early detection of patients at high risk of dementia conversion is important for establishing treatment strategies. We aimed to investigate whether multiparametric MRI radiomics from basal ganglia can improve the prediction of dementia development in PD when integrated with clinical profiles. In this retrospective study, 262 patients with newly diagnosed PD (June 2008-July 2017, follow-up >5 years) were included. MRI radiomic features (n = 1284) were extracted from bilateral caudate and putamen. Two models were developed to predict dementia development: (1) a clinical model-age, disease duration, and cognitive composite scores, and (2) a combined clinical and radiomics model. The area under the receiver operating characteristic curve (AUC) were calculated for each model. The models' interpretabilities were studied. Among total 262 PD patients (mean age, 68 years ± 8 [standard deviation]; 134 men), 51 (30.4%), and 24 (25.5%) patients developed dementia within 5 years of PD diagnosis in the training (n = 168) and test sets (n = 94), respectively. The combined model achieved superior predictive performance compared to the clinical model in training (AUCs 0.928 vs. 0.894, P = 0.284) and test set (AUCs 0.889 vs. 0.722, P = 0.016). The cognitive composite scores of the frontal/executive function domain contributed most to predicting dementia. Radiomics derived from the caudate were also highly associated with cognitive decline. Multiparametric MRI radiomics may have an incremental prognostic value when integrated with clinical profiles to predict future cognitive decline in PD.
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Affiliation(s)
- Chae Jung Park
- Department of Radiology, Yongin Severance Hospital, Yonsei University Health System, Yongin-si, Gyeonggi-do, South Korea
| | - Jihwan Eom
- Department of Computer Science, Yonsei University, Seoul, South Korea
| | - Ki Sung Park
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea
| | - Yae Won Park
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea.
| | - Seok Jong Chung
- Department of Neurology, Yongin Severance Hospital, Yonsei University Health System, Yongin-si, Gyeonggi-do, South Korea.
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea.
- YONSEI BEYOND LAB, Yongin-si, Gyeonggi-do, South Korea.
| | - Yun Joong Kim
- Department of Neurology, Yongin Severance Hospital, Yonsei University Health System, Yongin-si, Gyeonggi-do, South Korea
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- YONSEI BEYOND LAB, Yongin-si, Gyeonggi-do, South Korea
| | - Sung Soo Ahn
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Jinna Kim
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Phil Hyu Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Young Ho Sohn
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung-Koo Lee
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
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Dai J, Chan DKY, Chan RO, Hirani V, Xu YH, Braidy N. The association between dietary patterns, plasma lipid profiles, and inflammatory potential in a vascular dementia cohort. Aging Med (Milton) 2023; 6:155-162. [PMID: 37287668 PMCID: PMC10242272 DOI: 10.1002/agm2.12249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 02/28/2023] [Accepted: 03/03/2023] [Indexed: 04/03/2023] Open
Abstract
Background Inflammation and altered lipid dyshomeostasis have been implicated in the pathogenesis of Alzheimer's disease and vascular dementia. Objective To determine if there are any associations between dietary patterns, plasma lipid profiles, and inflammatory potential in a vascular dementia cohort. Methods One hundred fifty participants (36 subjects with Vascular Dementia and 114 healthy controls) from two Australian teaching hospitals completed a cross-sectional survey examining their dietary and lifestyle patterns. Each participant's diet was further evaluated using the Empirical Dietary Inflammatory Index. Some participants also donated blood samples for lipidomic analysis. Results After adjusting for age, education, and socioeconomic status, participants with vascular dementia tend to have higher lipid profiles, do less exercise, and engage less frequently in social interaction, educational, or reading activities. They also tend to consume more deep-fried food and full-fat dairy compared to control subjects. However, there was no difference in Empirical Dietary Inflammatory Index between the two groups after adjusting for age, education, and socioeconomic status. Conclusion Our findings suggest a graded inverse association between healthy lifestyle factors and vascular dementia.
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Affiliation(s)
- Jun Dai
- Department of Aged Care and RehabilitationBankstown‐Lidcombe Hospital2200New South WalesBankstownAustralia
- Present address:
Department of Aged CareCentral Gippsland Health Service3850VictoriaSaleAustralia
| | - Daniel Kam Yin Chan
- Department of Aged Care and RehabilitationBankstown‐Lidcombe Hospital2200New South WalesBankstownAustralia
- Faculty of MedicineUniversity of New South Wales2052New South WalesSydneyAustralia
| | - Richard O. Chan
- Department of Aged Care and RehabilitationBankstown‐Lidcombe Hospital2200New South WalesBankstownAustralia
- Present address:
Shop 18A, Oxford Village, 63 Oxford StreetSydneyNew South Wales2010Australia
| | - Vasant Hirani
- School of Life and Environmental SciencesUniversity of Sydney2006New South WalesSydneyAustralia
| | - Ying Hua Xu
- Department of Aged Care and RehabilitationBankstown‐Lidcombe Hospital2200New South WalesBankstownAustralia
| | - Nady Braidy
- Faculty of MedicineUniversity of New South Wales2052New South WalesSydneyAustralia
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