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      Influence and interaction of resting state functional magnetic resonance and tryptophan hydroxylase-2 methylation on short-term antidepressant drug response

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          Abstract

          Background

          Most antidepressants have been developed on the basis of the monoamine deficiency hypothesis of depression, in which neuronal serotonin (5-HT) plays a key role. 5-HT biosynthesis is regulated by the rate-limiting enzyme tryptophan hydroxylase-2 (TPH2). TPH2 methylation is correlated with antidepressant effects. Resting-state functional MRI (rs-fMRI) is applied for detecting abnormal brain functional activity in patients with different antidepressant effects. We will investigate the effect of the interaction between rs-fMRI and TPH2 DNA methylation on the early antidepressant effects.

          Methods

          A total of 300 patients with major depressive disorder (MDD) and 100 healthy controls (HCs) were enrolled, of which 60 patients with MDD were subjected to rs-fMRI. Antidepressant responses was assessed by a 50% reduction in 17-item Hamilton Rating Scale for Depression (HAMD-17) scores at baseline and after two weeks of medication. The RESTPlus software in MATLAB was used to analyze the rs-fMRI data. The amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), fractional ALFF (fALFF), and functional connectivity (FC) were used, and the above results were used as regions of interest (ROIs) to extract the average value of brain ROIs regions in the RESTPlus software. Generalized linear model analysis was performed to analyze the association between abnormal activity found in rs-fMRI and the effect of TPH2 DNA methylation on antidepressant responses.

          Results

          Two hundred ninety-one patients with MDD and 100 HCs were included in the methylation statistical analysis, of which 57 patients were included in the further rs-fMRI analysis (3 patients were excluded due to excessive head movement). 57 patients were divided into the responder group ( n = 36) and the non-responder group ( n = 21). Rs-fMRI results showed that the ALFF of the left inferior frontal gyrus (IFG) was significantly different between the two groups. The results showed that TPH2–1–43 methylation interacted with ALFF of left IFG to affect the antidepressant responses ( p = 0.041, false discovery rate (FDR) corrected p = 0.149).

          Conclusions

          Our study demonstrated that the differences in the ALFF of left IFG between the two groups and its association with TPH2 methylation affect short-term antidepressant drug responses.

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          Most cited references64

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          A rating scale for depression.

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            Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate.

            Memory decline in aging results from multiple factors that influence both executive function and the medial temporal lobe memory system. In advanced aging, frontal-striatal systems are preferentially vulnerable to white matter change, atrophy, and certain forms of neurotransmitter depletion. Frontal-striatal change may underlie mild memory difficulties in aging that are most apparent on tasks demanding high levels of attention and controlled processing. Through separate mechanisms, Alzheimer's disease preferentially affects the medial temporal lobe and cortical networks, including posterior cingulate and retrosplenial cortex early in its progression, often before clinical symptoms are recognized. Disruption of the medial temporal lobe memory system leads directly to memory impairment. Recent findings further suggest that age-associated change is not received passively. Reliance on reserve is emerging as an important factor that determines who ages gracefully and who declines rapidly. Functional imaging studies, in particular, suggest increased recruitment of brain areas in older adults that may reflect a form of compensation.
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              A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder.

              Resting-state functional magnetic resonance imaging (fMRI) is a promising predictor of treatment response in major depressive disorder (MDD).
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                Author and article information

                Contributors
                slowtherapy@126.com
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                25 March 2022
                25 March 2022
                2022
                : 22
                : 218
                Affiliations
                [1 ]GRID grid.452290.8, ISNI 0000 0004 1760 6316, Department of Psychosomatics and Psychiatry, School of Medicine, , Zhongda Hospital, Southeast University, ; Nanjing, 210009 People’s Republic of China
                [2 ]GRID grid.263826.b, ISNI 0000 0004 1761 0489, Key Laboratory of Developmental Genes and Human Diseases, Ministry of Education, School of Medicine, , Southeast University, ; Nanjing, 210009 People’s Republic of China
                [3 ]GRID grid.89957.3a, ISNI 0000 0000 9255 8984, Department of Psychiatric Rehabilitation, , Wuxi Mental Health Center, Nanjing Medical University, ; WuXi, 214123 People’s Republic of China
                [4 ]GRID grid.263826.b, ISNI 0000 0004 1761 0489, School of Medicine, , Southeast University, ; Nanjing, 210009 People’s Republic of China
                [5 ]Department of Psychology and Psychiatry, School of Medicine, Jinling Hospital, Nanjing University, Nanjing, 210018 People’s Republic of China
                [6 ]GRID grid.263826.b, ISNI 0000 0004 1761 0489, Department of Anatomy, Medical School, , Southeast University, ; Nanjing, 210009 People’s Republic of China
                [7 ]GRID grid.263826.b, ISNI 0000 0004 1761 0489, Department of Epidemiology and Biostatistics, School of Public Health, , Southeast University, ; Nanjing, 210009 People’s Republic of China
                [8 ]GRID grid.452290.8, ISNI 0000 0004 1760 6316, Department of Nuclear Medicine, School of Medicine, , Zhongda Hospital, Southeast University, ; Nanjing, 210009 People’s Republic of China
                [9 ]GRID grid.452290.8, ISNI 0000 0004 1760 6316, Department of Neurology, School of Medicine, , Zhongda Hospital, Southeast University, ; Nanjing, 210009 People’s Republic of China
                Article
                3860
                10.1186/s12888-022-03860-z
                8957120
                a052337e-4287-41bc-bbdc-432f4db239b1
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 7 November 2021
                : 11 March 2022
                Funding
                Funded by: Natural Science Foundation of Jiangsu Province
                Award ID: No. BK20181272
                Award ID: No. BK20181272
                Award ID: No. BK20181272
                Award ID: No. BK20181272
                Award ID: No. BK20181272
                Award ID: No. BK20181272
                Award ID: No. BK20181272
                Award ID: No. BK20181272
                Award ID: No. BK20181272
                Funded by: FundRef http://dx.doi.org/10.13039/501100013059, Jiangsu Provincial Medical Youth Talent;
                Award ID: No. QNRC2016825
                Award ID: No. QNRC2016825
                Award ID: No. QNRC2016825
                Award ID: No. QNRC2016825
                Award ID: No. QNRC2016825
                Award ID: No. QNRC2016825
                Award ID: No. QNRC2016825
                Award ID: No. QNRC2016825
                Award ID: No. QNRC2016825
                Funded by: National Natural Science Foundation of China
                Award ID: No. 81301167,81971277
                Award ID: No. 81301167,81971277
                Award ID: No. 81301167,81971277
                Award ID: No. 81301167,81971277
                Award ID: No. 81301167,81971277
                Award ID: No. 81301167,81971277
                Award ID: No. 81301167,81971277
                Award ID: No. 81301167,81971277
                Award ID: No. 81301167,81971277
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Clinical Psychology & Psychiatry
                major depressive disorder,antidepressants,dna methylation,tph2,resting-state functional mri

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