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Song X, Zheng Q, Zhang R, Wang M, Deng W, Wang Q, Guo W, Li T, Ma X. Potential Biomarkers for Predicting Depression in Diabetes Mellitus. Front Psychiatry 2021; 12:731220. [PMID: 34912246 PMCID: PMC8667273 DOI: 10.3389/fpsyt.2021.731220] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 11/08/2021] [Indexed: 02/05/2023] Open
Abstract
Objective: To identify the potential biomarkers for predicting depression in diabetes mellitus using support vector machine to analyze routine biochemical tests and vital signs between two groups: subjects with both diabetes mellitus and depression, and subjects with diabetes mellitus alone. Methods: Electronic medical records upon admission and biochemical tests and vital signs of 135 patients with both diabetes mellitus and depression and 187 patients with diabetes mellitus alone were identified for this retrospective study. After matching on factors of age and sex, the two groups (n = 72 for each group) were classified by the recursive feature elimination-based support vector machine, of which, the training data, validation data, and testing data were split for ranking the parameters, determine the optimal parameters, and assess classification performance. The biomarkers were identified by 10-fold cross validation. Results: The experimental results identified 8 predictive biomarkers with classification accuracy of 78%. The 8 biomarkers are magnesium, cholesterol, AST/ALT, percentage of monocytes, bilirubin indirect, triglyceride, lactic dehydrogenase, and diastolic blood pressure. Receiver operating characteristic curve analysis was also adopted with area under the curve being 0.72. Conclusions: Some biochemical parameters may be potential biomarkers to predict depression among the subjects with diabetes mellitus.
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Affiliation(s)
- Xiuli Song
- Clinical Psychology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
- Psychiatric Laboratory and Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Qiang Zheng
- School of Computer and Control Engineering, Yantai University, Yantai, China
| | - Rui Zhang
- Information Center, West China Hospital, Sichuan University, Chengdu, China
| | - Miye Wang
- Information Center, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Deng
- Psychiatric Laboratory and Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Qiang Wang
- Psychiatric Laboratory and Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Wanjun Guo
- Psychiatric Laboratory and Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Tao Li
- Psychiatric Laboratory and Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaohong Ma
- Psychiatric Laboratory and Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
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Martín-Yerga D, White J, Henriksson G, Cornell A. Structure-Reactivity Effects of Biomass-based Hydroxyacids for Sustainable Electrochemical Hydrogen Production. CHEMSUSCHEM 2021; 14:1902-1912. [PMID: 33595186 DOI: 10.1002/cssc.202100073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/15/2021] [Indexed: 06/12/2023]
Abstract
Biomass electro-oxidation is a promising approach for the sustainable generation of H2 by electrolysis with simultaneous synthesis of value-added chemicals. In this work, the electro-oxidation of two structurally different organic hydroxyacids, lactic acid and gluconic acid, was studied comparatively to understand how the chemical structure of the hydroxyacid affects the electrochemical reactivity under various conditions. It was concluded that hydroxyacids such as gluconic acid, with a considerable density of C-OH groups, are highly reactive and promising for the sustainable generation of H2 by electrolysis at low potentials and high conversion rates (less than -0.15 V vs. Hg/HgO at 400 mA cm-2 ) but with low selectivity to specific final products. In contrast, the lower reactivity of lactic acid did not enable H2 generation at very high conversion rates (<100 mA cm-2 ), but the reaction was significantly more selective (64 % to pyruvic acid). This work shows the potential of biomass-based organic hydroxyacids for sustainable generation of H2 and highlights the importance of the chemical structure on the reactivity and selectivity of the electro-oxidation reactions.
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Affiliation(s)
- Daniel Martín-Yerga
- Department of Chemical Engineering, KTH Royal Institute of Technology, 100 44, Stockholm, Sweden
- Department of Chemistry, University of Warwick, Coventry, CV47AL, United Kingdom
| | - Jai White
- Department of Chemical Engineering, KTH Royal Institute of Technology, 100 44, Stockholm, Sweden
| | - Gunnar Henriksson
- Department of Fibre and Polymer Technology, KTH Royal Institute of Technology, 100 44, Stockholm, Sweden
| | - Ann Cornell
- Department of Chemical Engineering, KTH Royal Institute of Technology, 100 44, Stockholm, Sweden
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Martín-Yerga D, Yu X, Terekhina I, Henriksson G, Cornell A. In situ catalyst reactivation for enhancing alcohol electro-oxidation and coupled hydrogen generation. Chem Commun (Camb) 2020; 56:4011-4014. [PMID: 32159554 DOI: 10.1039/d0cc01321h] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
A novel method exploiting the in situ reactivation of a PdNi catalyst to enhance the electro-oxidation of alcohols is reported. The periodic regeneration of the catalyst surface leads to significant gains in terms of conversion rate, energy requirements and stability compared to the conventional potentiostatic method.
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Affiliation(s)
- Daniel Martín-Yerga
- Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044 Stockholm, Sweden.
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