1
|
Chen S, Zhou D, Yu J, Huang Z, Wang L. Porous carbon nanosheets derived from two-dimensional Fe-MOF for simultaneous voltammetric sensing of dopamine and uric acid. NANOTECHNOLOGY 2023; 34:495102. [PMID: 37604147 DOI: 10.1088/1361-6528/acf225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 08/21/2023] [Indexed: 08/23/2023]
Abstract
It is of great significance for electrochemical sensors to simultaneously detect dopamine (DA) and uric acid (UA) related to biological metabolism. In this work, two-dimensional (2D) porous carbon nanosheets (CNS) was prepared as electrocatalysts to improve the sensitivity, the selectivity, and the detection limit of the simultaneous detection. First, 2D amorphous iron-metal organic frameworks (Fe-MOF) was synthesized with Fe3+and terephthalic acid via a facile wet chemistry method at room temperature. And then, CNS was prepared by pyrolysis and pickling of Fe-MOF. CNS had large specific surface area, good electrical conductivity and lots of carbon defects. The response currents of the CNS modified electrode was larger than those of the control electrodes in the simultaneous determination. The simultaneous determination was measured via differential pulse voltammetry to reduce the effect of capacitive currents on quantitative analysis. The CNS modified electrodes showed high sensitivity and low detection limit for the simultaneous detection of DA and UA. The modified electrodes have been successfully used to detect DA and UA in normal human serum.
Collapse
Affiliation(s)
- Shouhui Chen
- College of Chemistry and Chemical Engineering, Jiangxi Normal University, 99 Ziyang Road, Nanchang 330022, People's Republic of China
| | - Dan Zhou
- College of Chemistry and Chemical Engineering, Jiangxi Normal University, 99 Ziyang Road, Nanchang 330022, People's Republic of China
| | - Jingguo Yu
- College of Chemistry and Chemical Engineering, Jiangxi Normal University, 99 Ziyang Road, Nanchang 330022, People's Republic of China
| | - Zhenzhong Huang
- College of Chemistry and Chemical Engineering, Jiangxi Normal University, 99 Ziyang Road, Nanchang 330022, People's Republic of China
| | - Li Wang
- College of Chemistry and Chemical Engineering, Jiangxi Normal University, 99 Ziyang Road, Nanchang 330022, People's Republic of China
| |
Collapse
|
2
|
Shi D, Ren Z, Zhang H, Wang G, Guo Q, Wang S, Ding J, Yao X, Li Y, Ren K. Amplitude of low-frequency fluctuation-based regional radiomics similarity network: Biomarker for Parkinson's disease. Heliyon 2023; 9:e14325. [PMID: 36950566 PMCID: PMC10025115 DOI: 10.1016/j.heliyon.2023.e14325] [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: 05/19/2022] [Revised: 01/18/2023] [Accepted: 02/28/2023] [Indexed: 03/08/2023] Open
Abstract
Parkinson's disease (PD) is a highly heterogeneous disorder that is difficult to diagnose. Therefore, reliable biomarkers are needed. We implemented a method constructing a regional radiomics similarity network (R2SN) based on the amplitude of low-frequency fluctuation (ALFF). We classified patients with PD and healthy individuals by using a machine learning approach in accordance with the R2SN connectome. The ALFF-based R2SN exhibited great reproducibility with different brain atlases and datasets. Great classification performances were achieved both in primary (AUC = 0.85 ± 0.02 and accuracy = 0.81 ± 0.03) and independent external validation (AUC = 0.77 and accuracy = 0.70) datasets. The discriminative R2SN edges correlated with the clinical evaluations of patients with PD. The nodes of discriminative R2SN edges were primarily located in the default mode, sensorimotor, executive control, visual and frontoparietal network, cerebellum and striatum. These findings demonstrate that ALFF-based R2SN is a robust potential neuroimaging biomarker for PD and could provide new insights into connectome reorganization in PD.
Collapse
Affiliation(s)
- Dafa Shi
- Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Zhendong Ren
- Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Haoran Zhang
- Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Guangsong Wang
- Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Qiu Guo
- Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Siyuan Wang
- Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Jie Ding
- Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Xiang Yao
- Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Yanfei Li
- Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Ke Ren
- Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Key Laboratory for Endocrine-Related Cancer Precision Medicine, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Corresponding author. Department of Radiology, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
| |
Collapse
|
3
|
Murtomäki K, Mertsalmi T, Jaakkola E, Mäkinen E, Levo R, Nojonen T, Eklund M, Nuuttila S, Lindholm K, Pekkonen E, Joutsa J, Noponen T, Ihalainen T, Kaasinen V, Scheperjans F. Gastrointestinal Symptoms and Dopamine Transporter Asymmetry in Early Parkinson's Disease. Mov Disord 2022; 37:1284-1289. [PMID: 35274368 PMCID: PMC9314058 DOI: 10.1002/mds.28986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 02/01/2022] [Accepted: 02/13/2022] [Indexed: 11/09/2022] Open
Abstract
Background The neurophysiological correlates of gastrointestinal symptoms (GISs) in Parkinson's disease (PD) are not well understood. It has been proposed that in patients with a gastrointestinal origin of PD dopaminergic neurodegeneration would be more symmetric. Objectives The aim is to assess the associations between GISs and asymmetry of nigrostriatal dopaminergic neurodegeneration in PD. Methods Ninety PD patients were assessed using motor and GIS scales and 123I‐FP‐CIT SPECT. We calculated the asymmetry index and the predominant side of motor symptoms and dopamine transporter (DAT) imaging defect and assessed their association with GISs. Results There were no significant differences in GISs between symmetric and asymmetric dopaminergic defect. Left predominant defect was related to more GIS and higher constipation scores. Conclusions GISs were associated with left predominant reduction in putaminal DAT binding but not asymmetry per se. It remains open whether left‐sided DAT deficit is related to more pronounced GI involvement or symptom perception in PD. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson Movement Disorder Society.
Collapse
Affiliation(s)
- Kirsi Murtomäki
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| | - Tuomas Mertsalmi
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| | - Elina Jaakkola
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland
| | - Elina Mäkinen
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland.,Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland
| | - Reeta Levo
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| | - Tanja Nojonen
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| | - Mikael Eklund
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland.,Turku PET Centre, Turku University Hospital, Turku, Finland.,Turku Brain and Mind Center, University of Turku, Turku, Finland
| | - Simo Nuuttila
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland
| | - Kari Lindholm
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland
| | - Eero Pekkonen
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| | - Juho Joutsa
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland.,Turku PET Centre, Turku University Hospital, Turku, Finland.,Turku Brain and Mind Center, University of Turku, Turku, Finland
| | - Tommi Noponen
- Department of Clinical Physiology and Nuclear Medicine, Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Toni Ihalainen
- HUS Medical Imaging Center, Clinical Physiology and Nuclear Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Valtteri Kaasinen
- Clinical Neurosciences, University of Turku, and Neurocenter, Turku University Hospital, Turku, Finland
| | - Filip Scheperjans
- Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Helsinki, Finland
| |
Collapse
|