Publications by authors named "Yonggui Yuan"

190 Publications

A Predictive Model of Risk Factors for Conversion From Major Depressive Disorder to Bipolar Disorder Based on Clinical Characteristics and Circadian Rhythm Gene Polymorphisms.

Authors:
Zhi Xu Lei Chen Yunyun Hu Tian Shen Zimu Chen Tingting Tan Chenjie Gao Suzhen Chen Wenji Chen Bingwei Chen Yonggui Yuan Zhijun Zhang

Front Psychiatry 2022 11;13:843400. Epub 2022 Jul 11.

Department of Neurology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China.

Background: Bipolar disorder (BD) is easy to be misdiagnosed as major depressive disorder (MDD), which may contribute to a delay in treatment and affect prognosis. Circadian rhythm dysfunction is significantly associated with conversion from MDD to BD. So far, there has been no study that has revealed a relationship between circadian rhythm gene polymorphism and MDD-to-BD conversion. Furthermore, the prediction of MDD-to-BD conversion has not been made by integrating multidimensional data. The study combined clinical and genetic factors to establish a predictive model through machine learning (ML) for MDD-to-BD conversion.

Method: By following up for 5 years, 70 patients with MDD and 68 patients with BD were included in this study at last. Single nucleotide polymorphisms (SNPs) of the circadian rhythm genes were selected for detection. The R software was used to operate feature screening and establish a predictive model. The predictive model was established by logistic regression, which was performed by four evaluation methods.

Results: It was found that age of onset was a risk factor for MDD-to-BD conversion. The younger the age of onset, the higher the risk of BD. Furthermore, suicide attempts and the number of hospitalizations were associated with MDD-to-BD conversion. Eleven circadian rhythm gene polymorphisms were associated with MDD-to-BD conversion by feature screening. These factors were used to establish two models, and 4 evaluation methods proved that the model with clinical characteristics and SNPs had the better predictive ability.

Conclusion: The risk factors for MDD-to-BD conversion have been found, and a predictive model has been established, with a specific guiding significance for clinical diagnosis.
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http://dx.doi.org/10.3389/fpsyt.2022.843400DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309512PMC
July 2022

Combining S100B and Cytokines as Neuro-Inflammatory Biomarkers for Diagnosing Generalized Anxiety Disorder: A Proof-of-Concept Study Based on Machine Learning.

Authors:
Zhongxia Shen Lijun Cui Shaoqi Mou Lie Ren Yonggui Yuan Xinhua Shen Gang Li

Front Psychiatry 2022 22;13:881241. Epub 2022 Jun 22.

College of Engineering, Zhejiang Normal University, Zhejiang, China.

Introduction: S100 calcium-binding protein B (S100B) is a neurotrophic factor that regulates neuronal growth and plasticity by activating astrocytes and microglia through the production of cytokines involved in Generalized Anxiety Disorder (GAD). However, few studies have combined S100B and cytokines to explore their role as neuro-inflammatory biomarkers in GAD.

Methods: Serum S100B and cytokines (IL-1β, IL-2, IL-4, and IL-10) of 108 untreated GAD cases and 123 healthy controls (HC) were determined by enzyme-linked immunosorbent assay (ELISA), while Hamilton Anxiety Rating Scale (HAMA) scores and Hamilton Depression Rating Scale (HAMD) scores were measured to evaluate anxiety and depression severity. This was used to help physicians identify persons having GAD. Machine learning techniques were applied for feature ordering of cytokines and S100B and the classification of persons with GAD and HC.

Results: The serum S100B, IL-1β, and IL-2 levels of GAD cases were significantly lower than HC ( < 0.001), and the IL-4 level in persons with GAD was significantly higher than HC ( < 0.001). At the same time, IL-10 had no significant difference between the two groups ( = 0.215). The feature ranking distinguishing GAD from HC using machine learning ranked the features in the following order: IL-2, IL-1β, IL-4, S100B, and IL-10. The accuracy of S100B combined with IL-1β, IL-2, IL-4, and IL-10 in distinguishing persons with GAD from HC was 94.47 ± 2.06% using an integrated back propagation neural network based on a bagging algorithm (BPNN-Bagging).

Conclusion: The serum S-100B, IL-1β, and IL-2 levels in persons with GAD were down-regulated while IL-4 was up-regulated. The combination of S100B and cytokines had a good diagnosis value in determining GAD with an accuracy of 94.47%. Machine learning was a very effective method to study neuro-inflammatory biomarkers interacting with each other and mediated by plenty of factors.
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http://dx.doi.org/10.3389/fpsyt.2022.881241DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256955PMC
June 2022

The interaction of P11 methylation and early-life stress impacts the antidepressant response in patients with major depressive disorder.

Authors:
Tianyu Wang Lei Li Yingying Yue Xiaoyun Liu Suzhen Chen Tian Shen Zhi Xu Yonggui Yuan

J Affect Disord 2022 09 23;312:128-135. Epub 2022 Jun 23.

Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, PR China; Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast university, Nanjing 210009, PR China. Electronic address:

Purpose: The present research investigates the influence of P11 gene DNA methylation combined with life stress on the response to antidepressants in the first two weeks.

Methods: A total of 291 Han Chinese patients with major depressive disorder and 100 healthy controls were included. The Life Events Scale and the Childhood Trauma Questionnaire were used to assess stress. The primary endpoint was the Hamilton Depression Rating Scale-17 reduction rate after two weeks of treatment. The Illumina HiSeq Platform was used to detect the methylation of 74 CpG sites of the P11 gene in peripheral blood samples.

Results: The mean methylation of all P11 CpG sites, as well as the methylation at 4 CpG sites (P11-2-169, P11-2-192, P11-2-202, P11-2-204), were significantly higher in patients with MDD than in healthy controls (FDR-corrected P < 0.05). The response to antidepressants was associated with the following interactions: the CTQ score and P11-3-185 site methylation (OR = 0.297, FDR-corrected P = 0.023), the CTQ physical neglect score and P11-2-117 site methylation (OR = 0.005, FDR-corrected P = 0.033), and the CTQ emotional abuse score and P11-3-185 site methylation (OR = 0.001, FDR-corrected P = 0.023).

Conclusions: The methylation of the P11 gene was significantly higher in patients with major depressive disorder. The interaction of P11 DNA methylation and early-life stress may influence the short-term antidepressant treatment response.
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http://dx.doi.org/10.1016/j.jad.2022.06.042DOI Listing
September 2022

Taxonomic and Metabolic Signatures of Gut Microbiota for Assessing the Severity of Depression and Anxiety in Major Depressive Disorder Patients.

Authors:
Xueli Zhang Yuanlong Hou Yinghui Li Wei Wei Xiaoying Cai Hua Shao Yonggui Yuan Xiao Zheng

Neuroscience 2022 08 21;496:179-189. Epub 2022 Jun 21.

State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China. Electronic address:

Major depressive disorder (MDD) is a heterogeneous mental disorder for which the precise assessment of symptom severity remains challenging. Studies have consistently found that the microbiota-gut-brain (MGB) axis is profoundly altered in MDD, but whether MGB-relevant clinical parameters are applicable to depression subphenotyping remains largely unexplored. In this prospective study, we assessed the taxonomic and metabolic signatures of fecal microbiota from 45 unmedicated MDD patients and explored their associations with the severity of depression and anxiety symptoms as measured by Hamilton depression scale-17 (HAMD-17) and Hamilton anxiety scale-14 (HAMA-14), respectively. The global microbial compositions of MDD patients with mild, moderate and severe symptoms were largely similar. Nevertheless, multiple discriminative bacterial taxa could be identified among the subgroups across the genus to species level. The abundance of fecal Streptococcus was highly correlated with both HAMD and HAMA scores. Patients with severe depression symptoms showed significantly higher abundance of Phascolarctobacterium and Akkermansia, while enrichment of Akkermansia, Coprococcus and Streptococcus were observed with severe anxiety symptoms. In addition, fecal microbial metabolite indole-3-carboxyaldehyde proved useful to discriminate the severity of depression or anxiety symptoms. Together, our results support the utility of microbial taxa and metabolites as potential MGB-based biomarker panel for stratifying the symptom severity of MDD patients.
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http://dx.doi.org/10.1016/j.neuroscience.2022.06.024DOI Listing
August 2022

Cross-cultural validity of the WHO-5 Well-Being Index and Euthymia Scale: A clinimetric analysis.

Authors:
Danilo Carrozzino Kaj Sparle Christensen Chiara Patierno Agnieszka Woźniewicz Stine Bjerrum Møller Ida-Marie T P Arendt Yuqun Zhang Yonggui Yuan Natsu Sasaki Daisuke Nishi Carmen Berrocal Montiel Sara Ceccatelli Giovanni Mansueto Fiammetta Cosci

J Affect Disord 2022 08 21;311:276-283. Epub 2022 May 21.

Department of Health Sciences, University of Florence, via di San Salvi 12, 50135 Florence, Italy; Department of Psychiatry & Neuropsychology, Maastricht University, PO Box 616, Maastricht, the Netherlands. Electronic address:

Background: The assessment of psychological well-being and euthymia represents an emerging issue in clinical psychology and psychiatry. Rating scales and indices such as the 5-item version of the World Health Organization Well-Being Index (WHO-5) and the Euthymia Scale (ES) were developed but insufficient attention has been devoted to the evaluation of their cross-cultural validity. This is the first study using Clinimetric Patient-Reported Outcome Measures (CLIPROM) criteria to assess cross-cultural validity and sensitivity of five different versions of the WHO-5 and ES.

Methods: A multicenter cross-sectional study involving a total of 3762 adult participants from different European (i.e., Italy, Poland, Denmark) and non-European (i.e., China, Japan) countries was conducted. Item Response Theory models (Mokken and Rasch analyses) were applied.

Results: Mokken coefficients of scalability were found to range from 0.42 to 0.84. The majority of the versions of the WHO-5 fitted the Rasch model expectations. Paired t-tests revealed that the Italian and Danish WHO-5 versions were unidimensional. Person Separation Reliability indices showed that the Polish, Danish, and Japanese ES versions could reliably discriminate between subjects with different levels of euthymia.

Limitations: A convenience sampling was used, thus limiting the generalizability of study findings. In addition, no measures of negative mental health were administered.

Conclusions: WHO-5 can be used in international studies for cross-cultural comparisons since it covers transcultural components of subjective well-being. Findings also suggest that the ES can be used as a cross-cultural screening tool since it entailed the clinimetric property of sensitivity.
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http://dx.doi.org/10.1016/j.jad.2022.05.111DOI Listing
August 2022

Reliability and Validity of the Urdu Version of Psychosomatic Symptoms Scale in Pakistani Patients.

Authors:
S Mudasser Shah Muhammad Jahangir Wei Xu Yonggui Yuan

Front Psychol 2022 11;13:861859. Epub 2022 Apr 11.

Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.

The current study was aimed to assess the reliability and validity of the Urdu version of the Psychosomatic Symptoms Scale (PSSS) in Pakistani patients. The PSSS is time-saving and easy to administer. The field experts drafted the translated version of PSSS. The Urdu version of PSSS, Patient Health Questionnaire- 9 (PHQ-9), and Symptom Checklist-90 (SCL-90) Urdu version were used for assessment. The translation procedure was comprised of three steps, namely forward translation, back translation, and expert panel discussion. A sample of 982 (men = 50.5% and women = 49.5%) was collected with a convenient sample technique from a general hospital and private clinic. The Cronbach's alpha for PSSS was 0.974. The confirmatory factor analysis (CFA) revealed that all the items factor loading of PSSS were more than 0.35, the root mean square error of approximation (RMSEA) was = 0.062, the standardized root mean residual (SRMR) was = 0.043, and the comparative fit index (CFI) was = 0.97 with 90% CI. The results also showed that women ( = 72.08, = 6.79) are more likely to have psychosomatic symptoms than men ( = 51.21, = 13.36) on < 0.001. The PSSS Urdu version is proven to be a useful and reliable instrument for screening, monitoring, and assessing Pakistani patients' psychosomatics symptoms.
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http://dx.doi.org/10.3389/fpsyg.2022.861859DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037750PMC
April 2022

Clinical Efficacy of the Chinese Herbal Medicine Shumian Capsule for Insomnia: A Randomized, Double-Blind, Placebo-Controlled Trial.

Authors:
Suzhen Chen Zhi Xu Yinghui Li Tianyu Wang Yingying Yue Zhenghua Hou Linlin You Na Lu Yingying Yin Xiaoyun Liu Liangliang Tan Houcheng Ji Yaoran Shi Xiaoyun Xin Wenhao Jiang Yonggui Yuan

Neuropsychiatr Dis Treat 2022 29;18:669-679. Epub 2022 Mar 29.

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.

Purpose: Shumian capsule (SMC) is a patent Chinese herbal medicine that can soothe the liver and relieves depression, quiet the spirit. Here, we aimed to investigate the efficacy of SMC for treating insomnia using both scales and polysomnography (PSG).

Patients And Methods: A randomized, double-blind, placebo-controlled trial was performed. Twenty-six insomnia patients randomly received SMC (n = 11) or placebo (n = 15) for four weeks. Pittsburgh Sleep Quality Inventory (PSQI), Insomnia Severity Index (ISI), 9-items Patient Health Questionnaire (PHQ-9), 7-items Generalized Anxiety Disorder (GAD-7), 17-item Hamilton Depression Rating Scale (HAMD-17), and Hamilton Anxiety Rating Scale (HAMA) were applied at the baseline and the 2nd, 4th week after treatment. Treatment Emergent Symptom Scale was used to assess adverse reactions. We used PSG to record and analyze sleep features at baseline and after four weeks.

Results: PSQI, ISI, PHQ-9, HAMD-17, and HAMA scores decreased significantly after SMC treatment. Also, the total sleep time, rapid-eye-movement (REM) sleep latency, stage 2 sleep, deep sleep, REM sleep, and sleep efficiency improved significantly after SMC treatment. In the placebo group, the only significant change was the decrease of PHQ-9 at week-2. Furthermore, both SMC and placebo reported no adverse events.

Conclusion: SMC could safely improve sleep quality with depression and anxiety remission in insomnia patients.
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http://dx.doi.org/10.2147/NDT.S349427DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976492PMC
March 2022

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

Authors:
Tingting Tan Zhi Xu Chenjie Gao Tian Shen Lei Li Zimu Chen Lei Chen Min Xu Bingwei Chen Jiacheng Liu Zhijun Zhang Yonggui Yuan

BMC Psychiatry 2022 03 25;22(1):218. Epub 2022 Mar 25.

Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, People's Republic of China.

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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http://dx.doi.org/10.1186/s12888-022-03860-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957120PMC
March 2022

Characteristics of post-traumatic embitterment disorder of inpatients in a general hospital in China.

Authors:
Yuting Gao Xiaoyan Wang Liangliang Tan Ting Yang Linhua Shi Huanxin Chen Wenhao Jiang Yonggui Yuan

Clin Psychol Psychother 2022 Feb 20. Epub 2022 Feb 20.

Department of Psychosomatics and Psychiatry, Zhongda Hospital, Medical School, Southeast University, Nanjing, China.

Objective: Embitterment and post-traumatic embitterment disorder (PTED) is critical, merging through different cultures. We explored the prevalence and related clinical characteristics of PTED of inpatients in a general hospital in China.

Method: Two hundred inpatients (aged 18-65 years) from different departments were recruited by convenient sampling and standardized diagnostic interviews of PTED. Demographic data, Post-traumatic Embitterment Disorder Self-Rating Scale (PTED-21), the Patient Health Questionnaire depression scale (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire depression scale (PHQ-15) were collected on all participants.

Results: The prevalence of PTED was 21% (42/200) in inpatients in China; besides, the rate of increased syndromal embitterment is 28% (56/200), including 42 patients diagnosed with PTED. PTED was mainly associated with stressful events, such as illness, work and complicated interpersonal relationships. Rheumatology department and respiratory department have the highest and second highest prevalence of PTED among all departments. PTED-21 scores were significantly correlated with PHQ-9, GAD-7 and PHQ-15 (all P < 0.01).

Conclusions: The present study shows that embitterment is a critical negative emotion in inpatients with somatic illnesses with comorbid depression, anxiety and somatic symptoms. PTED and feelings of embitterment should be given proper attention in diagnosing somatic patients, and it is crucial to enhance PTED screening and intervention in the future. Future intervention studies on post-traumatic embitterment disorder could be done in general and especially in psychosomatic and somatic medicine.
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http://dx.doi.org/10.1002/cpp.2727DOI Listing
February 2022

Bacteroides species differentially modulate depression-like behavior via gut-brain metabolic signaling.

Authors:
Youying Zhang Qilin Fan Yuanlong Hou Xuanshuang Zhang Zhe Yin Xiaoying Cai Wei Wei Jiaying Wang Dandan He Guangji Wang Yonggui Yuan Haiping Hao Xiao Zheng

Brain Behav Immun 2022 05 7;102:11-22. Epub 2022 Feb 7.

State Key Laboratory of Natural Medicines, China Pharmaceutical University, 210009 Nanjing, Jiangsu, China; Laboratory of Metabolic Regulation and Drug Target Discovery, School of Pharmacy, Jiangsu Province Key Laboratory of Drug Metabolism, China Pharmaceutical University, 210009 Nanjing, Jiangsu, China. Electronic address:

Gut microbiome disturbances have been widely implicated in major depressive disorder (MDD), although the identity of causal microbial species and the underlying mechanisms are yet to be fully elucidated. Here we show that Bacteroides species enriched in the gut microbiome from MDD patients differentially impact the susceptibility to depressive behaviors. Transplantation of fecal microbiome from MDD patients into antibiotic-treated mice induced anxiety and despair-like behavior and impaired hippocampal neurogenesis. Colonization of Bacteroides fragilis, Bacteroides uniformis, and, to a lesser extent, Bacteroides caccae, but not Bacteroides ovatus, recapitulated the negative effects of MDD microbiome on behavior and neurogenesis. The varying impacts of Bacteroides species were partially explained by differential alternations of tryptophan pathway metabolites and neurotransmitters along the gut-brain axis. Notably, an intensified depletion of cerebral serotonin concurred with the enhanced susceptibility to depression. Together, these findings identify select Bacteroidetes species that contribute to depression susceptibility in mice by metabolic regulation along the gut-brain axis.
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http://dx.doi.org/10.1016/j.bbi.2022.02.007DOI Listing
May 2022

Distinct Features of Cerebral Blood Flow and Spontaneous Neural Activity as Integrated Predictors of Early Response to Antidepressants.

Authors:
Zhenghua Hou Tong Li Xiaofu He Yuqun Zhang Huanxin Chen Wenhao Jiang Yingying Yin Yonggui Yuan

Front Psychiatry 2021 18;12:788398. Epub 2022 Jan 18.

Department of Psychosomatics and Psychiatry, Institute of Psychosomatics, School of Medicine, Affiliated Zhongda Hospital, Southeast University, Nanjing, China.

Aims: The purpose of this study is to explore whether pre-treatment features of brain function can discriminate non-responders to antidepressant medication in the early phase.

Methods: Forty-four treatment-responsive depressed (RD) patients, 36 non-responsive depressed (NRD) patients, and 42 healthy controls (HCs) were recruited. Regional cerebral blood flow (CBF) and amplitude of low-frequency fluctuation (ALFF) values were calculated for all subjects. Correlation analyses were used to explore the relationship between symptom improvement and CBF/ALFF. Receiver operating characteristics (ROC) and the 10-fold cross-validation support vector machine (SVM) classifier were applied for the discrimination of treatment response.

Results: Compared with the HCs, the RD and NRD groups exhibited lower CBF and ALFF in the right posterior lobe of the cerebellum. Compared with the NRD group, the RD group showed distinct CBF patterns in the left frontal striatal regions and right frontal cerebellar regions, as well as distinct ALFF features in the left frontoparietal striatum and right frontotemporal striatal cerebellar regions. The ROC and SVM classifier revealed the optimal power to distinguish the RD and NRD groups based on the combined measures (i.e., CBF and ALFF).

Conclusion: Distinct features of CBF and ALFF in the frontal striatal network may serve as promising neuroimaging predictors for identifying patients with blunted responsiveness, which may facilitate personalized antidepressant treatment.
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http://dx.doi.org/10.3389/fpsyt.2021.788398DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804095PMC
January 2022

Combination of spontaneous regional brain activity and HTR1A/1B DNA methylation to predict early responses to antidepressant treatments in MDD.

Authors:
Chenjie Gao Zhi Xu Tingting Tan Zimu Chen Tian Shen Lei Chen Haiping Tan Bingwei Chen Zhijun Zhang Yonggui Yuan

J Affect Disord 2022 04 26;302:249-257. Epub 2022 Jan 26.

Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China; Key Laboratory of Developmental Genes and Human Diseases, Ministry of Education, School of Medicine, Southeast University, Nanjing 210009, China.

Background: Antidepressant medications are suggested as the first-line treatment in patients with major depressive disorder (MDD). However, the drug therapy outcomes vary from person to person. The functional activity of the brain and DNA methylation levels correlate with the antidepressant efficacy. To predict the early antidepressant responses in MDD and establish the prediction framework, we aimed to apply multidimensional data based on the resting-state activity of the brain and HTR1A/1B methylation.

Methods: The values of Amplitude of Low-Frequency Fluctuations (ALFF) and regional homogeneity (ReHo) were measured as variables in 116 brain regions along with 181 CpG sites in the promoter region of HTR1A/1B and 11 clinical characteristics. After performing the feature reduction step using the least absolute shrinkage and selection operator (LASSO) method, the selected variables were put into Support Vector Machines (SVM), Random Forest (RF), Naïve Bayes (NB), and logistic regression (LR), consecutively, to construct the prediction models. The models' performance was evaluated by the Leave-One-Out Cross-Validation.

Results: The LR model composed of the selected multidimensional features reached a maximum performance of 78.57% accuracy and 0.8340 area under the ROC curve (AUC). The prediction accuracies based on multidimensional datasets were found to be higher than those obtained from the data based only on fMRI or methylation.

Limitations: A relatively small sample size potentially restricted the usage of our prediction framework in clinical applications.

Conclusion: Our study revealed that combining the data of brain imaging and DNA methylation could provide a complementary effect in predicting early-stage antidepressant outcomes.
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http://dx.doi.org/10.1016/j.jad.2022.01.098DOI Listing
April 2022

The Reliability and Validity of Post Stroke Depression Scale in Different Type of Post Stroke Depression Patients.

Authors:
Yingying Yue Rui Liu Jiu Chen Yin Cao Yanfeng Wu Shining Zhang Huajie Li Jijun Zhu Aiqin Wu Yonggui Yuan

J Stroke Cerebrovasc Dis 2022 Feb 25;31(2):106222. Epub 2021 Nov 25.

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, No.87 Dingjiaqiao Road, Nanjing, Jiangsu 210009, China; Institute of Psychosomatics, Medical School of Southeast University, Nanjing, Jiangsu 210009, China. Electronic address:

Objective: A self-rating post stroke depression scale (PSDS) showed a good reliability and validity to assess severity of depressive symptoms among stroke patients. This study aimed to retest the psychometric properties of PSDS in different types of post-stroke depression (PSD).

Materials And Methods: A total of 170 stroke patients were recruited in the study. 82 and 25 patients were respectively diagnosed as PSD symptoms disorder (PSDSD) and PSD disorder (PSDD) patients according to their respective diagnostic criteria. The PSDS and the 9-item Patient Health Questionnaire (PHQ-9) were used to assess the severity of depression. Cronbach α, Spearman rank coefficient and independent sample t-test were conducted to examine reliability, internal consistency and discriminate validity. Then the receiver operating characteristic curve and Youden index were used to performance evaluation and cut-off value respectively in different subtypes of PSD patients.

Results: The Cronbach α of PSDS was 0.857, indicting a good reliability. The Spearman correlation coefficient between PSDS and PHQ-9 was 0.942 (P<0.001). The discriminate validity displayed significant difference between PSDSD as well as PSDD and no depression patients (all P<0.001). 5/24 and 10/24 were the cut-off value for PSDSD and PSDD patients.

Conclusions: PSDS is a useful screen tool with an acceptable psychometric properties for estimation of different subtypes of PSD patients.
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http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2021.106222DOI Listing
February 2022

Strain distribution characteristics of sensing fiber and influence on sensitivity of a fiber-optic disk accelerometer.

Authors:
Shuaifei Tian Haibo Zhu Ran An Yiping Tang Yonggui Yuan Fanyang Dang Yunlong Zhu Xiaozhang Wang Jun Yang Yuncai Wang Yuwen Qin

Appl Opt 2021 Nov;60(33):10292-10298

In a fiber-optic disk accelerometer, the strain distribution of sensing fiber is crucial for the improvement of sensitivity. The distribution characteristics of axial and radial strain in the sensing fiber are analyzed by the finite-element method, and the influence of strain distribution on the sensitivity of accelerometer is studied. Sensors with different outer radii of sensing fiber coils are designed and manufactured, and their performance is tested. The resonant frequencies are greater than 200 Hz, and the sensitivity increases as the outer radius of the sensing fiber coil increases. The dynamic range of the sensor with maximum sensitivity is 145.8 [email protected] Hz, and the transverse cross talk is 32.5 dB. Among the sensing fiber strain calculation methods we tested to predict the value of sensitivity, using the strain of sensing fiber directly obtained by the finite-element analysis method shows the smallest error with experimental results (within 7%). It is concluded that in the optical fiber strain disk, the absolute values of axial strain and radial strain of sensing fiber decrease with the increase of disk radius, while the signs of axial strain and radial strain of the ipsilateral sensing fiber are opposite and remain unchanged. The sensitivity can be further improved by optimizing the inner and outer radius of the sensing fiber coils, which is very important for the research and design of high-sensitivity fiber-optic accelerometers.
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http://dx.doi.org/10.1364/AO.439162DOI Listing
November 2021

Early Enhancement of Neuroplasticity Index, the Ratio of Serum Brain-Derived Neurotrophic Factor Level to HAMD-24 Score, in Predicting the Long-Term Antidepressant Efficacy.

Authors:
Yuxuan Zhang Bo Cui Tianyu Wang Yan Lu Zhenlin Chen Zhilu Zou Jinlin Miao Xiuli Zhao Yonggui Yuan Haosen Wang Gang Chen

Front Behav Neurosci 2021 27;15:712445. Epub 2021 Oct 27.

Interdisciplinary Institute for Personalized Medicine in Brain Disorders, Jinan University, Guangzhou, China.

Current mainstream treatment of major depressive disorder (MDD) has a disadvantage in delayed onset of efficacy, making detection of early signatures predicative of the long-term treatment efficacy urgent. MDD patients were scored with HAMD-24 and serum brain-derived neurotrophic factor (BDNF) levels were measured at different times in two independent trials: a single-arm observation of Yueju pill, a clinically approved traditional multiherbal medicine, and a two-arm random placebo-controlled trial for Yueju vs escitalopram. The ratio of the BDNF level to HAMD-24 score, or neuroplasticity index (NI), and its derived parameters were used for correlation analysis and receiver operating characteristic (ROC) analysis. On both the early (4th) and final (28th) days, Yueju and escitalopram significantly reduced HAMD-24 scores, compared to baselines, but only Yueju increased BDNF at both times. For either Yueju or escitalopram treatment, NI, but not BDNF, at baseline was correlated to NIs at the early or final treatment day. NI at early time was significantly correlated to early NI enhancement from the baseline for both Yueju and escitalopram, and to final NI enhancement from the baseline for Yueju in both trials. ROC analysis supported the predictability of Yueju's final treatment efficacy from early NI enhancement. The small sample size and 28 days of treatment time may lead to the impossibility of ROC analysis of escitalopram. Early NI enhancement is useful for prediction of long-term efficacy of Yueju and presumably some other antidepressants. [www.ClinicalTrials.gov], identifier [ChiCTR1900021114].
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http://dx.doi.org/10.3389/fnbeh.2021.712445DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578865PMC
October 2021

The impact of HTR1A and HTR1B methylation combined with stress/genotype on early antidepressant efficacy.

Authors:
Zhi Xu Zimu Chen Tian Shen Lei Chen Tingting Tan Chenjie Gao Bingwei Chen Yonggui Yuan Zhijun Zhang

Psychiatry Clin Neurosci 2022 Feb 7;76(2):51-57. Epub 2021 Dec 7.

Department of Neurology, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Aims: Antidepressants are effective in the treatment of major depressive disorder (MDD), while many patients fail to respond to antidepressants. Both 5-HT1A (HTR1A) and 5-HT1B (HTR1B) receptors play an important role in antidepressant activity. Meanwhile, DNA methylation is associated with MDD and antidepressant efficacy. In this study we investigate the influence of HTR1A and HTR1B methylation combined with stress/genotype on antidepressant efficacy.

Methods: A total of 291 MDD patients and 100 healthy controls received the Life Events Scale (LES) and the Childhood Trauma Questionnaire (CTQ) as stress assessment. Eight single nucleotide polymorphisms (SNPs) of HTR1A and HTR1B involved in antidepressant mechanisms were tested. Methylation status in 181 cytosine-phosphate-guanine (CpG) sites of HTR1A and HTR1B were assessed. All MDD patients were divided into response (RES) and non-response (NRES) after 2 weeks of antidepressant treatment. Logistic regression was conducted for interactions between methylation, NLES/CTQ score and genotype.

Results: Low HTR1A-2-143 methylation is connected with better antidepressant efficacy in subgroup. Low HTR1A-2-143 methylation combined with low CTQ score is related to better antidepressant efficacy. The interaction between high HTR1B methylation with the rs6298 AA/AG genotype affects better antidepressant efficacy.

Conclusions: HTR1A and HTR1B methylation combined with stress/genotype is associated with antidepressant efficacy.
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http://dx.doi.org/10.1111/pcn.13314DOI Listing
February 2022

Clinical characteristics of comorbid post-traumatic embitterment disorder and major depressive disorder patients in China.

Authors:
Na Lu Linlin You Xiaoyan Wang Qingsong Chen Zhong Yang Hui Pan Ming Wang Changchun Hu Zhongxia Shen Yonggui Yuan

Gen Hosp Psychiatry 2022 Jan-Feb;74:147-148. Epub 2021 Oct 4.

Department of Psychiatry and Psychosomatics, Affiliated Zhongda Hospital of Southeast University, Nanjing 210009, China. Electronic address:

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http://dx.doi.org/10.1016/j.genhosppsych.2021.09.012DOI Listing
March 2022

Influence of sleep difficulty on post-traumatic stress symptoms among frontline medical staff during COVID-19 pandemic in China.

Authors:
Lei Li Xiang Wang Junhua Tan Jijun Li Yonggui Yuan

Psychol Health Med 2021 Sep 19:1-13. Epub 2021 Sep 19.

School of Medicine, Southeast University, Nanjing, China.

Being a nurse was demonstrated to be a risk factor for post-traumatic stress symptoms (PTS) and insomnia among frontline staff during COVID-19 pandemic. The unidirectional relationship between insomnia and PTS highly suggested that insomnia could mediate the increasing risk of PTS among frontline nurses. However, no study had tried to clarify this mediation effect of insomnia during COVID-19 pandemic. This study aimed to investigate prevalence of insomnia and PTS among frontline doctors and nurses and to clarify the relationship between career (doctor/nurses), insomnia and PTS. A total of 211 frontline doctors and nurses completed the investigation. Insomnia was measured using a self-drafted questionnaire and PTS was assessed using primary care post-traumatic stress disorder screen (PC-PTSD). Three logistics regression models and one mediation model were performed to explore relationships between career, insomnia and PTS. The prevalence of PTS (PC-PTSD≥2) and insomnia (with 1 item in self-drafted insomnia questionnaire≥2) was 24.17% and 36.97%, respectively. Being a nurse was a shared risk factor of insomnia (= 4.16, : 1.30 ~ 5.77, = 0.023) and PTS (= 7.51, : 1.89 ~ 40.50, = 0.008). Compared to doctors, nurses had significantly higher prevalence of insomnia (46.32% vs. 20%, = 13.27, < 0.001) and PTS (30.14% vs. 13.33%, = 6.57, = 0.011). Insomnia was a significant partial mediator ( = 0.101, = 0.026), which explained 32.53% proportions of relationship between being a nurse and PTS. PTS and insomnia were common symptoms, which should be considered in psychological aids among frontline medical staff. Insomnia might be a possible target of PTS intervention.
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http://dx.doi.org/10.1080/13548506.2021.1981411DOI Listing
September 2021

The Combination of Serum BDNF, Cortisol and IFN-Gamma Can Assist the Diagnosis of Major Depressive Disorder.

Authors:
Suzhen Chen Yuqun Zhang Yonggui Yuan

Neuropsychiatr Dis Treat 2021 26;17:2819-2829. Epub 2021 Aug 26.

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, 210009, People's Republic of China.

Purpose: Misdiagnosis and ineffective treatment are common in major depressive disorder (MDD) in current clinical practice, while the combination of various serum proteins may assist the correct diagnosis. The study aimed to explore whether the combination of serum inflammatory, stress, and neurotrophic factors could be helpful for the diagnosis of MDD and to investigate the predictors associated with early symptom improvements.

Patients And Methods: Baseline serum levels of C-reactive protein (CRP), interleukin (IL)-6, IL-10, IL-1beta, tumor necrosis factor (TNF)-alpha, interferon (INF)-gamma, cortisol, and brain-derived neurotrophic factor (BDNF) were detected in 30 MDD patients and 30 age- and gender-matched healthy controls. 17-item Hamilton Depression Rating Scale (HAMD-17) and Hamilton Anxiety Rating Scale (HAMA) were applied to assess symptoms both at baseline and two weeks after antidepressant treatment. Stepwise multiple linear regression was employed to identify the early efficacy predictors, and a logistic regression model was built with the above serum proteins. The area under the receiver operating characteristic (AUC) curve was calculated to evaluate the model's diagnostic power.

Results: Multiple linear regression revealed that baseline scores of retardation (β = -0.432, = 0.012) and psychological anxiety (β = -0.423, = 0.014) factors were negatively associated with the reduction rate of HAMD-17. A simple and efficient diagnostic model using serum BDNF, cortisol, and IFN-gamma levels was established by the forward stepwise logistic regression, and the model achieved an AUC of 0.884, with 86.7% sensitivity and 83.3% specificity.

Conclusion: The results showed that combining serum BDNF, cortisol and IFN-gamma could aid the diagnosis of MDD, while baseline retardation and psychological anxiety may predict the poor early symptom improvement.
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http://dx.doi.org/10.2147/NDT.S322078DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405229PMC
August 2021

Sleep disturbance-related neuroimaging features as potential biomarkers for the diagnosis of major depressive disorder: A multicenter study based on machine learning.

Authors:
Yachen Shi Linhai Zhang Cancan He Yingying Yin Ruize Song Suzhen Chen Dandan Fan Deyu Zhou Yonggui Yuan Chunming Xie Zhijun Zhang

J Affect Disord 2021 12 23;295:148-155. Epub 2021 Aug 23.

Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Institution of Neuropsychiatry, Southeast University, Nanjing, Jiangsu 210009, China; The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu 210009, China; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China; Research Center for Brain Health, Pazhou Lab, Guangzhou, Guangdong 510330, China. Electronic address:

Background: Objective biomarkers are crucial for overcoming the clinical dilemma in major depressive disorder (MDD), and the individualized diagnosis is essential to facilitate the precise medicine for MDD.

Methods: Sleep disturbance-related magnetic resonance imaging (MRI) features was identified in the internal dataset (92 MDD patients) using the relevance vector regression algorithm, which was further verified in 460 MDD patients of an independent, multicenter dataset. Subsequently, using these MRI features, the eXtreme Gradient Boosting classification model was constructed in the current multicenter dataset (460 MDD patients and 470 normal controls). Meanwhile, the association between classification outputs and the severity of depressive symptoms was also investigated.

Results: In MDD patients, the combination of gray matter density and fractional amplitude of low-frequency fluctuation can accurately predict individual sleep disturbance score that was calculated by the sum of item 4 score, item 5 score, and item 6 score of the 17-Item Hamilton Rating Scale for Depression (HAMD-17) (R = 0.158 in the internal dataset; R = 0.110 in multicenter dataset). Furthermore, the classification model based on these MRI features distinguished MDD patients from normal controls with 86.3% accuracy (area under the curve = 0.937). Importantly, the classification outputs significantly correlated with HAMD-17 scores in MDD patients.

Limitation: Lacking some specialized tools to assess the personal sleep quality, e.g. Pittsburgh Sleep Quality Index.

Conclusion: Neuroimaging features can reflect accurately individual sleep disturbance manifestation and serve as potential diagnostic biomarkers of MDD.
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http://dx.doi.org/10.1016/j.jad.2021.08.027DOI Listing
December 2021

DNA methylations of brain-derived neurotrophic factor exon VI are associated with major depressive disorder and antidepressant-induced remission in females.

Authors:
Lei Li Tianyu Wang Suzhen Chen Yingying Yue Zhi Xu Yonggui Yuan

J Affect Disord 2021 12 12;295:101-107. Epub 2021 Aug 12.

Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, 210023, China; Department of Psychosomatics and Psychiatry, Affiliated Zhongda Hospital of Southeast University, Nanjing, 210009, China; Jiangsu Provincial Key Laboratory of Critical Care Medicine, Southeast university, Nanjing, 210009, China. Electronic address:

Background: Brain-derived neurotrophic factor (BDNF) has been suggested to play important roles in major depressive disorder (MDD) and antidepressant treatment. The main purpose of this study was to evaluate the association of DNA methylation changes in the BDNF gene with MDD and antidepressant treatment.

Methods: A total of 291 MDD patients and 100 healthy controls were included and followed up for 6 weeks. The Hamilton Depression Rating Scale-17 (HDRS-17) was used to measure treatment improvement. The life events scales (LES) and childhood trauma questionnaire (CTQ) were used to rate recent and early life stress. DNA methylation levels of CpG sites in the BDNF gene were measured.

Results: Two CpG sites in BDNF exon VI (BDNF133 and BDNF134) were demonstrated to have significantly higher methylation in MDD patients than in controls (both FDR-adjusted P = 0.001). A logistics regression model indicated that the interaction between the hypermethylation of BDNF133 and negative subscore of LES was associated to MDD (OR=0.0075, P<0.001). Methylation of BDNF140 at baseline was significantly elevated in remitters (FDR-adjusted P = 0.046) at week 6. In subgroup analyses, these findings could be replicated in females, but not in males.

Limitations: The methylation status of BDNF after 6 weeks of antidepressant treatment was not measured and the DNA methylation were detected in peripheral blood cells.

Conclusions: These findings highlight gender-specific alteration of methylation at several CpG sites in BDNF exon VI as a promising candidate indicator of MDD and antidepressant-induced remission.
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http://dx.doi.org/10.1016/j.jad.2021.08.016DOI Listing
December 2021

Higher baseline serum adiponectin predicts better treatment remission in patients with generalized anxiety disorder treated with escitalopram.

Authors:
Zhongxia Shen Feng Wang Lijun Cui Lie Ren Xiujuan Hong Yonggui Yuan Xinhua Shen

Ann Palliat Med 2021 07;10(7):7634-7643

Department of Neurosis and Psychosomatic Diseases, Affiliated Huzhou Third Municipal Hospital, Wenzhou Medical University, Huzhou Third Municipal Hospital, Huzhou, China.

Background: Generalized anxiety disorder (GAD) is partly attibuted to the dysregulation of nuero-inflammation which can be mediated by adiponectin. We conducted this study was to explore the characteristics of peripheral adiponectin and its role in predicting treatment outcome in patients with generalized anxiety disorder (GAD) treated by escitalopram or venlafaxine.

Methods: A total of 70 untreated GAD inpatients who met the diagnosis criteria of the Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) were enrolled and randomly selected for treatment with escitalopram (n=36) or venlafaxine (n=34) for 8 weeks. The serum adiponectin level of GAD and healthy controls (HCs) was measured by enzyme-linked immunosorbent assay (ELISA) before treatment. Hamilton Anxiety Rating Scale (HAM-A) assessment was conducted at baseline and at 1, 2, 4, and 8 weeks after treatment respectively. Serum adiponectin levels were compared between GAD patients and HCs, as well as between remission and nonremission cases; the correlation between baseline adiponectin level and HAM-A reduction rate were also analyzed.

Results: The serum adiponectin levels were higher in GAD patients compared to HCs (t=2.304; P=0.023), the serum adiponectin levels were higher in remission cases compared to nonremission cases (t=2.255, P=0.027), and the receiver operating characteristic (ROC) area in predicting treatment remission was 0.652±0.066 (P=0.029). The correlation between baseline adiponectin level and HAM-A reduction rate of GAD cases treated with escitalopram and venlafaxine in the endpoint was 0.362 (P=0.030) and -0.026 (P=0.883), respectively, and the ROC area of baseline adiponectin level in predicting treatment remission was 0.72±0.086 (P=0.024) and 0.473±0.102 (P=0.469), respectively.

Conclusions: Peripheral adiponectin is upregulated in GAD, and it seems higher baseline adiponectin level predicts a better treatment remission treated by escitalopram but not with venlafaxine, which suggests adiponectin maybe a potential key biomarker in Chinese GAD.
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http://dx.doi.org/10.21037/apm-21-1542DOI Listing
July 2021

Global topology alteration of the brain functional network affects the 8-week antidepressant response in major depressive disorder.

Authors:
Yanran Zhang Xiaoyun Liu Zhenghua Hou Yingying Yin Chunming Xie Haisan Zhang Hongxing Zhang Youyong Kong Shuwen Gao Zhijun Zhang Yonggui Yuan

J Affect Disord 2021 11 22;294:491-496. Epub 2021 Jul 22.

Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China. Electronic address:

Purpose: Previous studies have indicated that the global topology of the brain functional network in patients with major depressive disorder (MDD) differs from that of those with normal controls (NCs). However, the relationship between an altered global topology and the response to antidepressants remains unclear. Here, we investigated whether differences in global topology affect the efficacy of antidepressants in MDD patients.

Methods: 108 MDD patients and 61 NCs were recruited. A magnetic resonance imaging (MRI) scan was performed at the baseline, and the Hamilton Depression Scale-24 (HAMD-24) was assessed at baseline and after 2 and 8 weeks of antidepressant treatment. Seven global topological parameters of the brain functional network were measured and compared between groups. A correlation analysis was performed to identify the relationships between global topological parameters and antidepressant efficacy.

Results: The brain networks of MDD patients and NCs were both small-world networks. The clustering coefficient (C) and local efficiency (E) were significantly smaller in MDD patients compared with those in NCs. The characteristic path length (L) were negatively correlated with the 8-week reductive rate of HAMD-24 in the MDD group.

Conclusion: The present research found that the brain functional network of MDD patients still had a small-world organization but with a lower C and E than the NCs. In addition, the brain network global topology might have an impact on the antidepressant response and thus had the potential to become a treatment predictor of MDD.
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http://dx.doi.org/10.1016/j.jad.2021.07.078DOI Listing
November 2021

Coupling of spatial and directional functional network connectivity reveals a physiological basis for salience network hubs in asthma.

Authors:
Yuqun Zhang Yuan Yang Xiaomin Xu Yonggui Yuan

Brain Imaging Behav 2022 Feb 21;16(1):176-185. Epub 2021 Jul 21.

Department of Psychosomatic and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, No. 87, Dingjiaqiao, Gulou District, Nanjing, China.

Research findings have consistently indicated that asthma might be correlated with neural activity in brain circuits, especially the insular and anterior cingulate cortex (ACC), which are primary nodes of the salience network (SN). However, little is known about the relationships between the SN and other brain regions that are affected by asthma. Therefore, we explored the role of the SN to determine whether its neural activity was disrupted by asthma. Forty asthmatic patients and 40 well-matched healthy controls (HCs) underwent functional magnetic resonance imaging scanning and clinical assessments, including the asthma control test and 17-item Hamilton depression scale (HAMD). Altered spatial, network and temporal connections of the SN were investigated. Compared to HCs, patients showed increased functional connectivity (FC) between the dorsal ACC (dACC) and left middle frontal gyrus. In addition, network FC analysis suggested that the SN has increased connections with both the default mode network (DMN) and executive control network (ECN), which are both related to asthma. Asthma decreased the network connections between the DMN and ECN. Furthermore, Granger causality (GC) strengths from both the DMN and ECN to the bilateral anterior insula were increased in asthmatic patients. A positive correlation was found between GC strengths from the left parietal cortex to the right anterior insula and HAMD scores in asthmatic patients (r = 0.434, P = 0.005). The findings from this study suggested that the SN plays an important role in asthma. The aberrant spatial FC of the SN and its directional network connections with the DMN and ECN may contribute to the potential neural underpinnings of asthma.
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http://dx.doi.org/10.1007/s11682-021-00490-zDOI Listing
February 2022

Spatio-temporal graph convolutional network for diagnosis and treatment response prediction of major depressive disorder from functional connectivity.

Authors:
Youyong Kong Shuwen Gao Yingying Yue Zhenhua Hou Huazhong Shu Chunming Xie Zhijun Zhang Yonggui Yuan

Hum Brain Mapp 2021 08 10;42(12):3922-3933. Epub 2021 May 10.

Department of Psychosomatic and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.

The pathophysiology of major depressive disorder (MDD) has been explored to be highly associated with the dysfunctional integration of brain networks. It is therefore imperative to explore neuroimaging biomarkers to aid diagnosis and treatment. In this study, we developed a spatiotemporal graph convolutional network (STGCN) framework to learn discriminative features from functional connectivity for automatic diagnosis and treatment response prediction of MDD. Briefly, dynamic functional networks were first obtained from the resting-state fMRI with the sliding temporal window method. Secondly, a novel STGCN approach was proposed by introducing the modules of spatial graph attention convolution (SGAC) and temporal fusion. A novel SGAC was proposed to improve the feature learning ability and special anatomy prior guided pooling was developed to enable the feature dimension reduction. A temporal fusion module was proposed to capture the dynamic features of functional connectivity between adjacent sliding windows. Finally, the STGCN proposed approach was utilized to the tasks of diagnosis and antidepressant treatment response prediction for MDD. Performances of the framework were comprehensively examined with large cohorts of clinical data, which demonstrated its effectiveness in classifying MDD patients and predicting the treatment response. The sound performance suggests the potential of the STGCN for the clinical use in diagnosis and treatment prediction.
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http://dx.doi.org/10.1002/hbm.25529DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288094PMC
August 2021

A Bibliometric Analysis of the One Hundred Most Cited Studies in Psychosomatic Research.

Authors:
S Mudasser Shah Tauseef Ahmad Suzhen Chen Gao Yuting Xiaoyun Liu Yonggui Yuan

Psychother Psychosom 2021;90(6):425-430. Epub 2021 May 6.

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

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http://dx.doi.org/10.1159/000516185DOI Listing
January 2022

Effect of NEUROG3 polymorphism rs144643855 on regional spontaneous brain activity in major depressive disorder.

Authors:
Zhuoliang Hou Xiaoyun Liu Wenhao Jiang Zhenghua Hou Yingying Yin Chunming Xie Haisan Zhang Hongxing Zhang Zhijun Zhang Yonggui Yuan

Behav Brain Res 2021 07 18;409:113310. Epub 2021 Apr 18.

Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medical, Southeast University, Nanjing, China; The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, China. Electronic address:

Purpose: Our previous study identified a significant association between a single nucleotide polymorphism (SNP) located in the neurogenin3 (NEUROG3) gene and post-stroke depression (PSD) in Chinese populations. The present work explores whether polymorphism rs144643855 affects regional brain activity and clinical phenotypes in major depressive disorder (MDD).

Method: A total of 182 participants were included: 116 MDD patients and 66 normal controls. All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) scanning at baseline. Spontaneous brain activity was assessed using amplitude of low-frequency fluctuation (ALFF). The Hamilton Depression Scale-24 (HAMD-24) and Snaith-Hamilton Pleasure Scale (SHAPS) were used to assess participants at baseline. Two-way analysis of covariance (ANCOVA) was used to explore the interaction between diagnostic groups and NEUROG3 rs144643855 on regional brain activity. We performed correlation analysis to further test the association between these interactive brain regions and clinical manifestations of MDD.

Results: Genotype and disease significantly interacted in the left inferior frontal gyrus (IFG-L), right superior frontal gyrus (SFG-R), and left paracentral lobule (PCL-L) (P < 0.05). ALFF values of the IFG-L were found to be significantly associated with anhedonia in MDD patients.

Conclusion: These findings suggest a potential relationship between rs144643855 variations and altered frontal brain activity in MDD. NEUROG3 may play an important role in the neuropathophysiology of MDD.
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http://dx.doi.org/10.1016/j.bbr.2021.113310DOI Listing
July 2021

Clinimetric properties of the Chinese version of the Euthymia Scale.

Authors:
Yuqun Zhang Xiaoyan Wang Danilo Carrozzino Yonggui Yuan

Clin Psychol Psychother 2022 Jan 14;29(1):360-366. Epub 2021 Apr 14.

Department of Psychosomatics and Psychiatry, Zhongda Hospital, Southeast University, Nanjing, China.

The present study was conducted to primarily evaluate the clinimetric sensitivity of the Chinese version of the Euthymia Scale (ES), testing whether this measure discriminated between different groups of patients. Concurrent validity, a clinimetric property that refers to the assessment of the extent to which the rating scale under examination correlates with another related, previously validated, assessment instrument, was also tested investigating whether the ES significantly and negatively correlated with measures of depression and anxiety. A cross-sectional study was conducted. A total of 295 inpatients were recruited from different medical settings and included in this study. In addition to the ES, participants completed the PHQ-9 for the assessment of depression and the GAD-7 for the evaluation of symptoms of generalized anxiety. The clinimetric sensitivity of the ES was evaluated using the Mann-Whitney test and the Kruskal-Wallis analysis of variance, whereas the concurrent validity was tested via Spearman's correlation coefficients. The ES total score and its subscales of psychological flexibility and well-being discriminated between different groups of inpatients and sensitively differentiated depressed from non-depressed patients. Negative and statistically significant correlations between the ES and measures of depression and anxiety were found. Findings of the present study indicate that the Chinese version of the ES is a valid and sensitive clinimetric index that can be used not only to differentiate depressed from non-depressed patients but also as a screening measure to detect vulnerability to depression in a wide range of medical patients.
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http://dx.doi.org/10.1002/cpp.2592DOI Listing
January 2022

Asthma-Specific Temporal Variability Reveals the Effect of Group Cognitive Behavior Therapy in Asthmatic Patients.

Authors:
Yuqun Zhang Youyong Kong Yuan Yang Yingyin Yin Zhenghua Hou Zhi Xu Yonggui Yuan

Front Neurol 2021 12;12:615820. Epub 2021 Mar 12.

Department of Psychosomatic and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.

Group cognitive behavior therapy (GCBT) is a successful therapy for asthma. However, the neural biomarker of GCBT which could be used in clinic remains unclear. The temporal variability is a novel concept to characterize the dynamic functional connectivity (FC), which has many advantages as biomarker. Therefore, the aim of this study is to explore the potential difference of temporal variability between asthmatic patients and healthy controls, then determine the different patterns of temporal variability between pre- and post-treatment group and reveal the relationship between the variability and the symptoms improvement reduced by GCBT. At baseline, 40 asthmatic patients and 40 matched controls received resting-state functional magnetic resonance imaging (fMRI) scans and clinical assessments. After 8 weeks of GCBT treatment, 17 patients received fMRI scans, and assessments again. Temporal variability at baseline and post-treatment were calculated for further analysis. Compared with controls, asthmatic patients showed widespread decreases in temporal variability. Moreover, the variability in both right caudate and left putamen were positively correlated with asthma control level. After GCBT, asthma control level and depression of patients were improved. Meanwhile, compared with pre-GCBT, patients after treatment showed lower variability in left opercular of Rolandic, right parahippocampal gyrus and right lingual gyrus, as well as higher variability in left temporal pole. Variability in regions which were found abnormal at baseline did not exhibit significant differences between post-GCBT and controls. Asthma-specific changes of dynamic functional connectivity may serve as promising underpinnings of GCBT for asthma. http://www.chictr.org.cn/index.aspx, identifier: Chi-CTR-15007442.
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http://dx.doi.org/10.3389/fneur.2021.615820DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994749PMC
March 2021

Dopamine Multilocus Genetic Profile, Spontaneous Activity of Left Superior Temporal Gyrus, and Early Therapeutic Effect in Major Depressive Disorder.

Authors:
Xiaoyun Liu Zhenghua Hou Yingying Yin Chunming Xie Haisan Zhang Hongxing Zhang Zhijun Zhang Yonggui Yuan

Front Psychiatry 2020 22;11:591407. Epub 2020 Dec 22.

Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China.

This study aimed to examine the interactive effects of dopamine (DA) pathway gene and disease on spontaneous brain activity and further to explore the relationship between spontaneous brain activity and the early antidepressant therapeutic effect in patients with major depressive disorder (MDD). A total of 104 patients with MDD and 64 healthy controls (HCs) were recruited. The Hamilton Depression Scale-24 (HAMD-24) was used to measure the depression severity. Both groups were given resting-state functional magnetic resonance imaging (rs-fMRI) scan. The amplitude of low-frequency fluctuation (ALFF) was calculated to reflect the spontaneous brain activity based on the rs-fMRI data. After treatment for 2 weeks, depression severity was evaluated again, and HAMD-24 reductive rate was used to measure the therapeutic effect of antidepressants. Multilocus genetic profile scores (MGPS) were used to assess the multi-site cumulative effect of DA pathway gene. The interactive effects of MDD and DA pathway gene on the ALFF of regional brain areas were measured by the multivariate linear regression analysis. Finally, partial correlation analysis (age, sex, education, and illness durations as covariates) was performed to identify the relationship between regional ALFF and therapeutic effect. MDD and DA-MGPS had interactive effects on the left fusiform gyrus (FG_L), right calcarine sulcus (CS_R), left superior temporal gyrus (STG_L), bilateral cerebellum posterior lobe (CPL), bilateral inferior frontal gyrus (IFG), and bilateral superior frontal gyrus (SFG). Partial correlation analysis revealed that the ALFF of STG_L had a significant negative correlation with 2-week HAMD-24 reductive rate ( = -0.211, = 0.035). The spontaneous activity of STG_L may be a potential biomarker of antidepressant-related early therapeutic effect underlying the influence of DA pathway genes in MDD.
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http://dx.doi.org/10.3389/fpsyt.2020.591407DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7782966PMC
December 2020
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