Complex psychiatry最新文献

{"title":"Internet-Based Trauma Recovery Intervention for Nurses: A Randomized Controlled Trial","authors":"Sunah Kim, Jinyoung Park, Wongyeong Lee, Goun Kim","doi":"10.1159/000540350","DOIUrl":"https://doi.org/10.1159/000540350","url":null,"abstract":"Introduction: Nurses, who care for patients with various traumas, may also experience post-traumatic stress disorder due to indirect or direct exposure to traumatic situations. This study examined the effectiveness of an Internet-based trauma recovery intervention for Korean nurses.\u0000Methods: This randomized controlled trial was conducted with 112 nurses aged 23–40 years who were randomly assigned to the intervention (n = 56) or control group (n = 56) from May 7 to December 20, 2020. Nurses in the intervention group attended eight sessions, and the same intervention was administered to the control group. Repeated measures were collected at pre-test, post-test 1 (immediately after the intervention), and post-test 2 (four weeks after the intervention). A total of 102 nurses (intervention group: n = 49; control group: n = 53) were completed because 10 nurses dropped out before the first session. Data were analyzed using the chi-square test, Fisher’s exact test, t-test, Mann-Whitney U-test, and repeated measures ANOVA (intention-to-treat and per protocol).\u0000Results: There were significant changes in functional health, resilience, post-traumatic stress, depressive symptoms, state anxiety, and trait anxiety over time and in the group-by-time interactions (intention-to-treat and per protocol). There was a significant difference in social support in the group-by-time interactions, but there were no significant changes between the two groups or over time (intention-to-treat and per protocol).\u0000Conclusion: The Internet-based trauma recovery nursing intervention is effective in clinical and community settings for nurses who cannot participate in fixed-schedule programs due to shift work. This study’s findings are relevant for implementing Internet-based trauma recovery programs for nurses and the general population, including survivors and relatives of patients who suffered from COVID-19. This program will also be very useful for people in other high-stress situations. Nurse leaders should consider different populations and situations when offering effective coping strategies suitable for changing environments.\u0000Clinical trial registration number: NCT04989582","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"13 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum.","authors":"","doi":"10.1159/000539807","DOIUrl":"https://doi.org/10.1159/000539807","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1159/000538058.].</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"10 1-4","pages":"35"},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11387849/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142302414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive sex-stratified genetic analysis of 28 blood biomarkers and depression reveals a significant association between depression and low levels of total protein in females","authors":"Jacqueline Kiewa, Samantha Meltzer-Brody, Jeannette Milgrom, J. Guintivano, I. Hickie, D. Whiteman, Catherine M Olsen, S. Medland, N. G. Martin, N. Wray, Enda M. Byrne","doi":"10.1159/000538058","DOIUrl":"https://doi.org/10.1159/000538058","url":null,"abstract":"Introduction\u0000Major depression (MD) is more common amongst women than men, and MD episodes have been associated with fluctuations in reproductive hormones amongst women. To investigate biological underpinnings of heterogeneity in MD, the associations between depression, stratified by sex and including perinatal depression (PND), and blood biomarkers, using UK Biobank (UKB) data, were evaluated, and extended to include the association of depression with biomarker polygenic scores (PGS), generated as proxy for each biomarker. \u0000Method\u0000Using female (N=39,761) and male (N=38,821) UKB participants, lifetime major depression (MD) and PND, were tested for association with 28 blood biomarkers. A GWAS was conducted for each biomarker and genetic correlations with depression subgroups were estimated. Using independent data from the Australian Genetics of Depression Study, PGS were constructed for each biomarker, and tested for association with depression status (n [female cases/controls]=9,006/6,442; n [male cases/controls]=3,106/6,222). Regions of significant local genetic correlation between depression subgroups and biomarkers highlighted by the PGS analysis were identified.\u0000Results\u0000Depression in females was significantly associated with levels of twelve biomarkers, including total protein (OR=0.90, CI=[0.86,0.94], P=3.9x10-6) and vitamin D (OR=0.94, CI=[0.90, 0.97], P=2.6x10-4), and PND with five biomarker levels, also including total protein (OR=0.88, CI=[0.81, 0.96], P=4.7x10-3). Depression in males was significantly associated with levels of eleven biomarkers. In the independent Australian Genetics of Depression Study, PGS analysis found significant associations for female depression and PND with total protein (female depression: OR=0.93, CI=[0.88, 0.98], P=3.6x10-3; PND: OR=0.91, CI=[0.86, 0.96], P=1.1x10-3), as well as with vitamin D (female depression: OR=0.93, CI=[0.89, 0.97], P=2.0x10-3; PND: OR=0.92, CI=[0.87, 0.97], P=1.4x10-3). The male depression sample did not report any significant results, and the point estimate of total protein (OR=0.98, CI=[0.92-1.04], P=4.7x10-1) did not indicate any association. Local genetic correlation analysis highlighted significant genetic correlation between PND and total protein, located in 5q13.3 (rG=0.68, CI=[0.33, 1.0], P=3.6x10-4). \u0000Discussion and Conclusion\u0000Multiple lines of evidence from genetic analysis highlight an association between total serum protein levels and depression in females. Further research involving prospective measurement of total protein and depressive symptoms is warranted. \u0000","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"53 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychobehavioural B-criteria of somatic symptom disorder are associated with somatic symptom reporting in a large sample of psychosomatic outpatients","authors":"Matthias Hoheisel, Stoyan Popkirov, Rosa Michaelis, Matthias Rose","doi":"10.1159/000536668","DOIUrl":"https://doi.org/10.1159/000536668","url":null,"abstract":"Introduction: Somatic Symptom Disorder (SSD) as introduced by the DSM-5 is characterized by chronic somatic symptoms not fully explained by underlying pathology and accompanied by psychological factors, the diagnostic B-criteria. These cognitive, affective, and behavioral disturbances are related to increased attention to somatic symptoms. However, there is a lack of empirical evidence regarding the association between the B-criteria and high symptom reporting in clinical settings.\u0000Methods: This 12-year retrospective, cross-sectional, observational study examined 6,491 patients from a german psychosomatic outpatient center. The somatoform subscale of HEALTH-49 was used to evaluate somatic symptom reporting. Excessive health concerns and other potential criteria associated with symptom reporting were determined using the ICD-10-Symptom Rating and other HEALTH-49 subscales. \u0000Results: Regression analysis revealed that the established B-criteria for SSD were the strongest factors associated with somatic symptom reporting, with a standardized beta coefficient of β = 0.31 (R² = .428, df = 24, F = 187.886). Depressive symptoms and impaired activity and participation were clearly less associated with somatic symptom reporting. Sociodemographic factors, such as age (β = 0.16) and gender (β = 0.12), were also independently associated with somatic symptom reporting.\u0000Conclusion: This study provides evidence for the concept of SSD related to specific B-criteria associated with somatic symptom reporting, based on a large patient sample. These results point to an important role of psychological symptomatology in patients with somatic symptoms. The findings also suggest that additional factors contribute to the reporting of somatic symptoms. Our results may inform future diagnostic criteria for SSD.\u0000","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"12 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychobehavioural B-criteria of somatic symptom disorder are associated with somatic symptom reporting in a large sample of psychosomatic outpatients","authors":"Matthias Hoheisel, Stoyan Popkirov, Rosa Michaelis, Matthias Rose","doi":"10.1159/000536668","DOIUrl":"https://doi.org/10.1159/000536668","url":null,"abstract":"Introduction: Somatic Symptom Disorder (SSD) as introduced by the DSM-5 is characterized by chronic somatic symptoms not fully explained by underlying pathology and accompanied by psychological factors, the diagnostic B-criteria. These cognitive, affective, and behavioral disturbances are related to increased attention to somatic symptoms. However, there is a lack of empirical evidence regarding the association between the B-criteria and high symptom reporting in clinical settings.\u0000Methods: This 12-year retrospective, cross-sectional, observational study examined 6,491 patients from a german psychosomatic outpatient center. The somatoform subscale of HEALTH-49 was used to evaluate somatic symptom reporting. Excessive health concerns and other potential criteria associated with symptom reporting were determined using the ICD-10-Symptom Rating and other HEALTH-49 subscales. \u0000Results: Regression analysis revealed that the established B-criteria for SSD were the strongest factors associated with somatic symptom reporting, with a standardized beta coefficient of β = 0.31 (R² = .428, df = 24, F = 187.886). Depressive symptoms and impaired activity and participation were clearly less associated with somatic symptom reporting. Sociodemographic factors, such as age (β = 0.16) and gender (β = 0.12), were also independently associated with somatic symptom reporting.\u0000Conclusion: This study provides evidence for the concept of SSD related to specific B-criteria associated with somatic symptom reporting, based on a large patient sample. These results point to an important role of psychological symptomatology in patients with somatic symptoms. The findings also suggest that additional factors contribute to the reporting of somatic symptoms. Our results may inform future diagnostic criteria for SSD.\u0000","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"15 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139796063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of the COVID-19 pandemic on depressive symptoms, including clinical and subthreshold levels, and eating behaviors in first-year university students","authors":"Yoshie Miyake, Koki Takagaki, Atsuo Yoshino, Yuri Okamoto","doi":"10.1159/000535624","DOIUrl":"https://doi.org/10.1159/000535624","url":null,"abstract":"Introduction: During the COVID-19 pandemic, university students experienced unusual environmental stresses, and the number of university students with depressive symptoms increased. The pandemic had a profoundly negative impact on the mental health of first-year students because they were not prepared to face academic and social stresses. The purpose of this study was to investigate the effect of the COVID-19 pandemic on depressive symptoms, eating behaviors and stress coping ability among first-year university students. Methods: A total of 8,424 first-year students, 2,043 males and 1,636 females who entered university in Japan in 2021-2022 (during the pandemic) and 2,912 males and 1,833 females who entered university in Japan in 2018-2019 (before the pandemic), participated. We investigated the differences in depressive symptoms (using BDI-II), eating behaviors (using EAT-26 and BITE) and stress coping (using CISS, which has three subscales) between first-year students before and during the pandemic. We divided the students into three categories (clinical, subthreshold, and nonsymptomatic) according to depressive symptoms and eating behaviors based on BDI-ll and EAT-26 scores and compared the frequencies of the three categories at two time points. Results: First-year students during the pandemic showed a higher percentage of depressive symptoms, including clinical and subthreshold levels, than first-year students before the pandemic but did not show disordered eating behaviors. Additionally, the CISS-T score was significantly lower for students with depressive symptoms, including clinical and subthreshold levels, during the pandemic than before the pandemic in females. Conclusions: This study suggests that it may be important to provide first-year university students with more information about depressive symptom awareness, including clinical and subthreshold levels, and to provide appropriate stress coping from many angles and early support in pandemic conditions.","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138979337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anti-Inflammatory Action of Antidepressants: Investigating the Longitudinal Effect of Antidepressants on White Blood Cell Count.","authors":"Julia M Sealock, Guanhua Chen, Lea K Davis","doi":"10.1159/000528605","DOIUrl":"10.1159/000528605","url":null,"abstract":"<p><strong>Introduction: </strong>Antidepressants have documented anti-inflammatory effects on pro-inflammatory biomarkers. However, the long-term effects of antidepressants on inflammatory markers and the effects of different antidepressant classes on pro-inflammatory biomarkers are largely unexplored. Here, we evaluate the short- and long-term effects of all antidepressant classes on a clinical immune marker, white blood cell count (WBC).</p><p><strong>Methods: </strong>Using a retrospective study design, we extracted WBC count and prescription medications from electronic health records at Vanderbilt University Medical Center. We created a longitudinal model to evaluate the short- and long-term effects of these medications on WBC count. We validated our longitudinal model using two known anti-inflammatory medications, biologic immunosuppressants, and chemotherapy, and one medication class without known immunomodulatory properties, contraceptives. We used the longitudinal model to determine the effects of antidepressant use on WBC count stratified by drug class.</p><p><strong>Results: </strong>Biologic immunosuppressant and chemotherapy use was associated with decreased WBC count, but contraceptive use did not associate with changes in WBC count, validating our longitudinal modeling approach. All antidepressant classes were associated with decreased WBC count in the long-term cohorts. SSRI and atypical use also associated with decreased WBC count in the short-term cohort.</p><p><strong>Conclusions: </strong>Using electronic health record data, we show all antidepressant classes exhibit anti-inflammatory effects on a clinical immune marker, WBC count. Additionally, our results indicate that in some cases the anti-inflammatory effects of antidepressants persist over at least a 1-year time frame. Our work contributes to the immunomodulatory knowledge of antidepressants and motivates future studies investigating alternative therapeutic routes for antidepressants.</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"9 1-4","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/fa/88/cxp-2023-0009-01-4-528605.PMC9892923.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9650892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain Lipids and Lipid Droplet Dysregulation in Alzheimer’s Disease and Neuropsychiatric Disorders","authors":"Xiaojie Zhao, Siwei Zhang, Alan R. Sanders, Jubao Duan","doi":"10.1159/000535131","DOIUrl":"https://doi.org/10.1159/000535131","url":null,"abstract":"Lipids are essential components of the structure and for the function of brain cells. The intricate balance of lipids, including phospholipids, glycolipids, cholesterol, cholesterol ester, and triglycerides, is crucial for maintaining normal brain function. Brain lipids dysregulation plays a pivotal role in the pathogenesis and progression of neurodegenerative and neuropsychiatric disorders including schizophrenia and Alzheimer’s disease. Understanding the mechanisms of lipids dysregulation in these diseases is crucial for identifying better diagnostic biomarkers and for developing therapeutic strategies aiming at restoring lipid homeostasis. Here, we review the basic role of lipid components as well as a specific lipid organelle, lipid droplets, in brain function, highlighting the potential impact of altered lipid metabolism in the pathogenesis of neuropsychiatric disorders and Alzheimer’s disease.","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":" 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135192182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systematic Review of LINE-1 Methylation Profile in Psychiatric Disorders.","authors":"Vitória Rodrigues Guimarães Alves, Danilo Micali, Vanessa Kiyomi Ota, Amanda Victória Gomes Bugiga, Carolina Muniz Carvalho, Sintia Iole Belangero","doi":"10.1159/000530641","DOIUrl":"10.1159/000530641","url":null,"abstract":"<p><strong>Introduction: </strong>Long interspersed nuclear elements (LINEs) are endogenous retrotransposable elements. A few studies have linked the methylation pattern of LINE-1 to different mental disorders (e.g., post-traumatic stress disorder [PTSD], autism spectrum disorder [ASD], panic disorder [PD]). We sought to unify the existing knowledge in the field and provide a better understanding of the association between mental disorders and LINE-1 methylation.</p><p><strong>Methods: </strong>A systematic review was executed with 12 eligible articles according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.</p><p><strong>Results: </strong>For psychotic disorders, PTSD, ASD, and PD, lower LINE-1 methylation levels were detected, whereas for mood disorders, the findings are controversial. The studies were conducted with subjects aged 18-80 years. Peripheral blood samples were utilized in 7/12 articles.</p><p><strong>Conclusion: </strong>Although most studies have shown that LINE-1 hypomethylation was associated with mental disorders, there were still some divergences (i.e., hypermethylation associated with mental disorders). These studies suggest that LINE-1 methylation may be an important factor related to the development of mental disorders and highlight the need to better comprehend the biological mechanisms underlying the role of LINE-1 in mental disorders pathophysiology.</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"9 1-4","pages":"119-129"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315007/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9857803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrative Post-Genome-Wide Association Study Analyses Relevant to Psychiatric Disorders: Imputing Transcriptome and Proteome Signals.","authors":"Huseyin Gedik, Roseann E Peterson, Brien P Riley, Vladimir I Vladimirov, Silviu-Alin Bacanu","doi":"10.1159/000530223","DOIUrl":"10.1159/000530223","url":null,"abstract":"<p><strong>Background: </strong>The genome-wide association study (GWAS) is a common tool to identify genetic variants associated with complex traits, including psychiatric disorders (PDs). However, post-GWAS analyses are needed to extend the statistical inference to biologically relevant entities, e.g., genes, proteins, and pathways. To achieve this goal, researchers developed methods that incorporate biologically relevant intermediate molecular phenotypes, such as gene expression and protein abundance, which are posited to mediate the variant-trait association. Transcriptome-wide association study (TWAS) and proteome-wide association study (PWAS) are commonly used methods to test the association between these molecular mediators and the trait.</p><p><strong>Summary: </strong>In this review, we discuss the most recent developments in TWAS and PWAS. These methods integrate existing \"omic\" information with the GWAS summary statistics for trait(s) of interest. Specifically, they impute transcript/protein data and test the association between imputed gene expression/protein level with phenotype of interest by using (i) GWAS summary statistics and (ii) reference transcriptomic/proteomic/genomic datasets. TWAS and PWAS are suitable as analysis tools for (i) primary association scan and (ii) fine-mapping to identify potentially causal genes for PDs.</p><p><strong>Key messages: </strong>As post-GWAS analyses, TWAS and PWAS have the potential to highlight causal genes for PDs. These prioritized genes could indicate targets for the development of novel drug therapies. For researchers attempting such analyses, we recommend Mendelian randomization tools that use GWAS statistics for both trait and reference datasets, e.g., summary Mendelian randomization (SMR). We base our recommendation on (i) being able to use the same tool for both TWAS and PWAS, (ii) not requiring the pre-computed weights (and thus easier to update for larger reference datasets), and (iii) most larger transcriptome reference datasets are publicly available and easy to transform into a compatible format for SMR analysis.</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"9 1-4","pages":"130-144"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425719/pdf/cxp-2023-0009-01-4-530223.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10193463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}