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Krivosova M, Hutka P, Ondrejka I, Visnovcova Z, Funakova D, Hrtanek I, Ferencova N, Mlyncekova Z, Kovacova V, Macejova A, Kukucka T, Mokry J, Tonhajzerova I. Vortioxetine's impact on the autonomic nervous system in depressed children and adolescents: analysis of the heart rate variability. Sci Rep 2024; 14:14442. [PMID: 38910177 PMCID: PMC11194280 DOI: 10.1038/s41598-024-65278-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 06/18/2024] [Indexed: 06/25/2024] Open
Abstract
Relationship between depressive disorder and autonomic nervous system has been already discussed. Reduced emotional regulation is supposed to be associated with prefrontal hypofunction and subcortical hyperactivity. The aim of this study was to determine the effect of vortioxetine on heart rate variability (HRV), a parameter of cardiac autonomic regulation, in depressed hospitalized paediatric patients and assess the clinical effectiveness of the drug in this population. We performed repeated polysomnography analyses at admission and after a short treatment in hospital (15.2 days on average) and measured various HRV parameters (RRi, pNN50, RMSSD, LF-HRV, HF-HRV) during wakefulness, N3 and REM sleep stages. Out of 27 study subjects, 67% have improved depression symptoms as well as anxiety and subjective sleep quality after short vortioxetine treatment. We have found a significant decrease in parasympathetic parameters pNN50, RMSSD and HF-HRV during N3 sleep phase, though not exclusively among vortioxetine responders. The anticipated increase in cardiovagal regulation after vortioxetine treatment was not demonstrated in this pilot study, possibly due to the drug's multimodal mechanism and impact on the nucleus tractus solitarii, particularly its antagonism on 5HT-3 receptors. Application of selective drugs could further explain the effect of vortioxetine on HRV in depressed patients.
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Affiliation(s)
- Michaela Krivosova
- Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Comenius University Bratislava, Martin, Slovakia
| | - Peter Hutka
- Jessenius Faculty of Medicine in Martin, Psychiatric Clinic, Comenius University Bratislava, University Hospital Martin, Martin, Slovakia
| | - Igor Ondrejka
- Jessenius Faculty of Medicine in Martin, Psychiatric Clinic, Comenius University Bratislava, University Hospital Martin, Martin, Slovakia.
| | - Zuzana Visnovcova
- Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Comenius University Bratislava, Martin, Slovakia
| | - Dana Funakova
- Jessenius Faculty of Medicine in Martin, Psychiatric Clinic, Comenius University Bratislava, University Hospital Martin, Martin, Slovakia
| | - Igor Hrtanek
- Jessenius Faculty of Medicine in Martin, Psychiatric Clinic, Comenius University Bratislava, University Hospital Martin, Martin, Slovakia
| | - Nikola Ferencova
- Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Comenius University Bratislava, Martin, Slovakia
| | - Zuzana Mlyncekova
- Jessenius Faculty of Medicine in Martin, Psychiatric Clinic, Comenius University Bratislava, University Hospital Martin, Martin, Slovakia
| | - Veronika Kovacova
- Jessenius Faculty of Medicine in Martin, Psychiatric Clinic, Comenius University Bratislava, University Hospital Martin, Martin, Slovakia
| | - Andrea Macejova
- Jessenius Faculty of Medicine in Martin, Psychiatric Clinic, Comenius University Bratislava, University Hospital Martin, Martin, Slovakia
| | - Tomas Kukucka
- Jessenius Faculty of Medicine in Martin, Psychiatric Clinic, Comenius University Bratislava, University Hospital Martin, Martin, Slovakia
| | - Juraj Mokry
- Department of Pharmacology, Jessenius Faculty of Medicine in Martin, Comenius University Bratislava, Martin, Slovakia
| | - Ingrid Tonhajzerova
- Jessenius Faculty of Medicine in Martin, Psychiatric Clinic, Comenius University Bratislava, University Hospital Martin, Martin, Slovakia
- Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University Bratislava, Martin, Slovakia
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Kreppke JN, Cody R, Beck J, Brand S, Donath L, Eckert A, Imboden C, Hatzinger M, Holsboer-Trachsler E, Lang UE, Mans S, Mikoteit T, Oswald A, Rogausch A, Schweinfurth-Keck N, Zahner L, Gerber M, Faude O. Cardiorespiratory fitness, perceived fitness and autonomic function in in-patients with different depression severity compared with healthy controls. J Psychiatr Res 2024; 175:437-445. [PMID: 38797040 DOI: 10.1016/j.jpsychires.2024.05.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 03/26/2024] [Accepted: 05/20/2024] [Indexed: 05/29/2024]
Abstract
Over 300 million individuals worldwide suffer from major depressive disorder (MDD). Individuals with MDD are less physically active than healthy people which results in lower cardiorespiratory fitness (CRF) and less favorable perceived fitness compared with healthy controls. Additionally, individuals with MDD may show autonomic system dysfunction. The purpose of the present study was to evaluate the CRF, perceived fitness and autonomic function in in-patients with MDD of different severity compared with healthy controls. We used data from 212 in-patients (age: 40.7 ± 12.6 y, 53% female) with MDD and from 141 healthy controls (age: 36.7 ± 12.7 y, 58% female). We assessed CRF with the Åstrand-Rhyming test, self-reported perceived fitness and autonomic function by heart rate variability (HRV). In specific, we used resting heart rate, time- and frequency-based parameters for HRV. In-patients completed the Beck Depression Inventory-II (BDI-II) to self-assess the subjectively rated severity of depression. Based on these scores, participants were grouped into mild, moderate and severe MDD. The main finding was an inverse association between depression severity and CRF as well as perceived fitness compared with healthy controls. Resting heart rate was elevated with increasing depression severity. The time-based but not the frequency-based autonomic function parameters showed an inverse association with depression severity. The pattern of results suggests that among in-patients with major depressive disorder, those with particularly high self-assessed severity scores show a lower CRF, less favorable perceived fitness and partial autonomic dysfunction compared to healthy controls. To counteract these conditions, physical activity interventions may be effective.
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Affiliation(s)
- Jan-Niklas Kreppke
- Department for Sport, Exercise and Health, University of Basel, Basel, Switzerland.
| | - Robyn Cody
- Department for Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | | | - Serge Brand
- Department for Sport, Exercise and Health, University of Basel, Basel, Switzerland; Adult Psychiatric Clinics (UPKE), University of Basel, Basel, Switzerland; Substance Use Prevention Research Center and Sleep Disorder Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah 6715847141, Iran; School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran; Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah 6719851115, Iran
| | - Lars Donath
- German Sport University Cologne, Department of Intervention Research in Exercise Training, Cologne, Germany
| | - Anne Eckert
- Adult Psychiatric Clinics (UPKE), University of Basel, Basel, Switzerland
| | - Christian Imboden
- Private Clinic Wyss, Münchenbuchsee, Switzerland; University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Martin Hatzinger
- Psychiatric Services, Solothurn, and Medical Faculty, University of Basel, Switzerland
| | | | - Undine E Lang
- Adult Psychiatric Clinics (UPKE), University of Basel, Basel, Switzerland
| | - Sarah Mans
- Private Clinic Wyss, Münchenbuchsee, Switzerland
| | - Thorsten Mikoteit
- Psychiatric Services, Solothurn, and Medical Faculty, University of Basel, Switzerland
| | - Anja Oswald
- Psychiatric Clinic Sonnenhalde, Riehen, Switzerland
| | | | | | - Lukas Zahner
- Department for Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Markus Gerber
- Department for Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Oliver Faude
- Department for Sport, Exercise and Health, University of Basel, Basel, Switzerland
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Xie F, Zhou L, Hu Q, Zeng L, Wei Y, Tang X, Gao Y, Hu Y, Xu L, Chen T, Liu H, Wang J, Lu Z, Chen Y, Zhang T. Cardiovascular variations in patients with major depressive disorder versus bipolar disorder. J Affect Disord 2023; 341:219-227. [PMID: 37657620 DOI: 10.1016/j.jad.2023.08.128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 08/14/2023] [Accepted: 08/29/2023] [Indexed: 09/03/2023]
Abstract
BACKGROUND Differentiating depression in major depressive disorder and bipolar disorder is challenging in clinical practice. Therefore, reliable biomarkers are urgently needed to differentiate between these diseases. This study's main objective was to assess whether cardiac autonomic function can distinguish patients with unipolar depression (UD), bipolar depression (BD), and bipolar mania (BM). METHODS We recruited 791 patients with mood disorders, including 191 with UD, 286 with BD, and 314 with BM, who had been drug free for at least 2 weeks. Cardiovascular status was measured using heart rate variability (HRV) and pulse wave velocity (PWV) indicators via finger photoplethysmography during a 5-min rest period. RESULTS Patients with BD showed lower HRV but higher heart rates than those with UD and BM. The PWV indicators were lower in the UD group than in the bipolar disorder group. The covariates of age, sex, and body mass index affected the cardiovascular characteristics. After adjusting for covariates, the HRV and PWV variations among the three groups remained significant. Comparisons between the UD and BD groups showed that the variable with the largest effect size was the frequency-domain indices of HRV, very low and high frequency, followed by heart rate. The area under the receiver operating characteristic curve (AUC) for each cardiovascular variable ranged from 0.661 to 0.714. The High-frequency index reached the highest AUC. LIMITATIONS Cross-sectional design and the magnitude of heterogeneity across participants with mood disorders limited our findings. CONCLUSION Patients with BD, but not BM, had a greater extent of cardiac imbalance than those with UD. Thus, HRV may serve as a psychophysiological biomarker for the differential diagnosis of UD and BD.
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Affiliation(s)
- Fei Xie
- School of Public Health, Fudan University, Shanghai, China; Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - LinLin Zhou
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - Qiang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China; Department of Psychiatry, ZhenJiang Mental Health Center, Zhenjiang, China
| | - LingYun Zeng
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, ShenZhen, China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - YuQing Gao
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Ontario, Canada; Labor and Worklife Program, Harvard University, MA, United States
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - Zheng Lu
- Department of Psychiatry, Tongji Hospital, Tongji University School of Medicine, 389 Xin Cun Road, Shanghai 200065, China.
| | - YingYao Chen
- School of Public Health, Fudan University, Shanghai, China.
| | - TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China.
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Hong S, Park DH, Ryu SH, Ha JH, Jeon HJ. Association between Heart Rate Variability Indices and Depressed Mood in Patients with Panic Disorder. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2022; 20:737-746. [PMID: 36263648 PMCID: PMC9606434 DOI: 10.9758/cpn.2022.20.4.737] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 07/22/2023]
Abstract
Objective Heart rate variability (HRV) reflects the regulation of the autonomic nervous system. Panic disorder is highly associated with autonomic dysfunction, and is often accompanied by depression. The aim of this study is to determine the association between depression and HRV indices in patients with panic disorder. Methods A total of 110 outpatients diagnosed with panic disorder participated in this study. The medical records of patients with panic disorder who visited the outpatient clinic of Konkuk University Hospital between December 2018 and March 2020 were retrospectively reviewed. Measurements used in this study include the Panic Disorder Severity Scale-Self Report, Beck Depression Inventory (BDI-II), Insomnia Severity Index, and HRV. Patients were divided into depressive and non-depressive groups based on their BDI-II scores. The association between HRV indices and depressive symptoms was statistically analyzed. Results The low frequency/high frequency (LF/HF) ratio was reduced in patients with depression (mean = -0.095, p = 0.004 in the above moderate depressive group, mean = -0.120, p = 0.020 in the severe depressive group). Significant correlations were found between depressive symptoms and standard deviation of NN interval (SDNN) (ms) (-0.19, p = 0.044), very low frequency (VLF) (ms2/Hz) (-0.22, p = 0.021), LF (-0.25, p = 0.008), HF (-0.19, p = 0.043), and LF/HF (-0.25, p = 0.009). Multiple linear regression analysis showed that BDI predicted SDNN (ms), VLF (ms2/Hz), LF, HF, and LF/HF. Conclusion We confirmed that the LF/HF ratio decreases when depression is accompanied by panic disorder. HRV indices may be useful markers for detecting depressive symptoms in patients with panic disorder.
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Affiliation(s)
- Sumin Hong
- Department of Psychiatry, Konkuk University Medical Center, Seoul, Korea
| | - Doo-Heum Park
- Department of Psychiatry, Konkuk University Medical Center, Seoul, Korea
- Department of Psychiatry, Konkuk University School of Medicine, Seoul, Korea
| | - Seung-Ho Ryu
- Department of Psychiatry, Konkuk University Medical Center, Seoul, Korea
- Department of Psychiatry, Konkuk University School of Medicine, Seoul, Korea
| | - Jee Hyun Ha
- Department of Psychiatry, Konkuk University Medical Center, Seoul, Korea
- Department of Psychiatry, Konkuk University School of Medicine, Seoul, Korea
| | - Hong Jun Jeon
- Department of Psychiatry, Konkuk University Medical Center, Seoul, Korea
- Department of Psychiatry, Konkuk University School of Medicine, Seoul, Korea
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