BMC Psychiatry最新文献

{"title":"The correlations on psychopathology in children self-rating, psychopathology in children as related by their parents and psychopathology in parents self-rating in a Kenyan school setting: towards an inclusive family-centered approach.","authors":"David M Ndetei, Victoria Mutiso, Pascalyne Nyamai, Christine Musyimi","doi":"10.1186/s12888-024-05971-1","DOIUrl":"10.1186/s12888-024-05971-1","url":null,"abstract":"<p><p>Several studies have reported on the association between parental and childhood psychopathologies. Despite this, little is known about the psychopathologies between parents and children in a non-clinical population. We present such a study, the first in a Kenyan setting in an attempt to fill this gap. The objective of this study was to determine the association between self-rating psychopathology in children, parent-rating psychopathology in their children and self-rating psychopathology in parents in a non-clinical population of children attending schools in Kenya. We identified 113 participants, comprising children and their parents in 10 randomly sampled primary schools in South East Kenya. The children completed the Youth Self-Report (YSR) scale and parents completed the Child Behavior Check List (CBCL) on their children and the Adult Self-Reports (ASR) on themselves. These instruments are part of the Achenbach System of Empirically Based Assessment (ASEBA), developed in the USA for a comprehensive approach to assessing adaptation and maladaptive behavior in children and adolescents. There was back and forth translation of the instruments from English to Swahili and the local dialect, Kamba. Every revision of the English translation was sent to the instrument author who sent back comments until the revised version was in sync with the version developed by the author. We used the ASEBA in-built algorithm for scoring to determine cut-off points for problematic and non-problematic behavior. Correlations, linear regression and independent sample t-test were used to explore these associations. The mean age of the children was 12.7. While there was no significant association between child problems as measured by YSR (self-reported) and parent problems as measured by ASR and CBCL in the overall correlations, there was a significant association when examining specific groups (clinical range vs. non-clinical). Moreover, significant association existed between total problems on YSR and ASR internalizing problems (t=-2.3,p = 0.023), with clinical range having a higher mean than the normal range. In addition, a significant relationship (p < 0.05) was found between psychopathology in children as reported by both parents (CBCL) and psychopathology in parents as self-reported (ASR).Mothers were more likely to report lower syndrome scores of their children as compared to fathers. Our findings indicate discrepancies between children self-rating and parent ratings, suggesting that one cannot manage psychopathology in children without reference to psychopathology in their parents. We suggest broad-based psycho-education to include children and parents to enhance shared awareness of psychopathology and uptake of treatment.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11270966/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141757000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An online evidence-based dictionary of common adverse events of antidepressants: a new tool to empower patients and clinicians in their shared decision-making process.","authors":"James S W Hong, Edoardo G Ostinelli, Roya Kamvar, Katharine A Smith, Annabel E L Walsh, Thomas Kabir, Anneka Tomlinson, Andrea Cipriani","doi":"10.1186/s12888-024-05950-6","DOIUrl":"10.1186/s12888-024-05950-6","url":null,"abstract":"<p><strong>Background: </strong>Adverse events (AEs) are commonly reported in clinical studies using the Medical Dictionary for Regulatory Activities (MedDRA), an international standard for drug safety monitoring. However, the technical language of MedDRA makes it challenging for patients and clinicians to share understanding and therefore to make shared decisions about medical interventions. In this project, people with lived experience of depression and antidepressant treatment worked with clinicians and researchers to co-design an online dictionary of AEs associated with antidepressants, taking into account its ease of use and applicability to real-world settings.</p><p><strong>Methods: </strong>Through a pre-defined literature search, we identified MedDRA-coded AEs from randomised controlled trials of antidepressants used in the treatment of depression. In collaboration with the McPin Foundation, four co-design workshops with a lived experience advisory panel (LEAP) and one independent focus group (FG) were conducted to produce user-friendly translations of AE terms. Guiding principles for translation were co-designed with McPin/LEAP members and defined before the finalisation of Clinical Codes (CCs, or non-technical terms to represent specific AE concepts). FG results were thematically analysed using the Framework Method.</p><p><strong>Results: </strong>Starting from 522 trials identified by the search, 736 MedDRA-coded AE terms were translated into 187 CCs, which balanced key factors identified as important to the LEAP and FG (namely, breadth, specificity, generalisability, patient-understandability and acceptability). Work with the LEAP showed that a user-friendly language of AEs should aim to mitigate stigma, acknowledge the multiple levels of comprehension in 'lay' language and balance the need for semantic accuracy with user-friendliness. Guided by these principles, an online dictionary of AEs was co-designed and made freely available ( https://thesymptomglossary.com ). The digital tool was perceived by the LEAP and FG as a resource which could feasibly improve antidepressant treatment by facilitating the accurate, meaningful expression of preferences about potential harms through a shared decision-making process.</p><p><strong>Conclusions: </strong>This dictionary was developed in English around AEs from antidepressants in depression but it can be adapted to different languages and cultural contexts, and can also become a model for other interventions and disorders (i.e., antipsychotics in schizophrenia). Co-designed digital resources may improve the patient experience by helping to deliver personalised information on potential benefits and harms in an evidence-based, preference-sensitive way.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11270875/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141757056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain structural and functional abnormalities in affective network are associated with anxious depression.","authors":"Qiao Juan, Tao Shiwan, Sun Yurong, Shi Jiabo, Chen Yu, Tian Shui, Yao Zhijian, Lu Qing","doi":"10.1186/s12888-024-05970-2","DOIUrl":"10.1186/s12888-024-05970-2","url":null,"abstract":"<p><strong>Background: </strong>Anxious depression (AD) is a common subtype of major depressive disorder (MDD). Neuroimaging studies of AD have revealed inconsistent and heterogeneous brain alterations with the use of single-model methods. Therefore, it is necessary to explore the pathogenesis of AD using multi-model imaging analyses to obtain more homogeneous and robust results.</p><p><strong>Methods: </strong>One hundred and eighty-two patients with MDD and 64 matched healthy controls (HCs) were recruited. Voxel-based morphometry (VBM) was used to estimate the gray matter volume (GMV) of all subjects. The GMV differences between the AD and non-anxious depression (NAD) participants were used as regions of interest (ROIs) for subsequent resting state functional connectivity (rs-FC) analyses. Correlation analysis was used to evaluate the associations between clinical symptoms and abnormal function in specific brain areas.</p><p><strong>Results: </strong>Decreased GMV in the medial frontal gyrus (MFG) and the superior frontal gyrus (SFG) was observed in the AD group compared to the NAD group. Taking the MFG and SFG as ROIs, the rs-FC analysis revealed decreased FC between the left SFG and left temporal pole and between the left SFG and right MFG in the AD group compared to the NAD group. Finally, the FC between the left SFG and left temporal pole was negatively correlated with HAMD-17 scores in the AD group.</p><p><strong>Conclusion: </strong>By combining the GMV and rs-FC models, this study revealed that structural and functional disruption of the affective network may be an important pathophysiology underlying AD. The structural impairment may serve as the foundation of the functional impairment.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11270941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141757057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Causes of death in individuals with lifetime major depression: a comprehensive machine learning analysis from a community-based autopsy center.","authors":"Paula Villela Nunes, Livia Mancine, Beatriz Astolfi Neves, Renata Elaine Paraizo Leite, Camila Nascimento, Carlos Augusto Pasqualucci, Beny Lafer, Rogerio Salvini, Claudia Kimie Suemoto","doi":"10.1186/s12888-024-05946-2","DOIUrl":"10.1186/s12888-024-05946-2","url":null,"abstract":"<p><strong>Background: </strong>Depression can be associated with increased mortality and morbidity, but no studies have investigated the specific causes of death based on autopsy reports. Autopsy studies can yield valuable and detailed information on pathological ailments or underreported conditions. This study aimed to compare autopsy-confirmed causes of death (CoD) between individuals diagnosed with major depressive disorder (MDD) and matched controls. We also analyzed subgroups within our MDD sample, including late-life depression and recurrent depression. We further investigated whether machine learning (ML) algorithms could distinguish MDD and each subgroup from controls based on their CoD.</p><p><strong>Methods: </strong>We conducted a comprehensive analysis of CoD in individuals who died from nontraumatic causes. The diagnosis of lifetime MDD was ascertained based on the DSM-5 criteria using information from a structured interview with a knowledgeable informant. Eleven established ML algorithms were used to differentiate MDD individuals from controls by simultaneously analyzing different disease category groups to account for multiple tests. The McNemar test was further used to compare paired nominal data.</p><p><strong>Results: </strong>The initial dataset included records of 1,102 individuals, among whom 232 (21.1%) had a lifetime diagnosis of MDD. Each MDD individual was strictly paired with a control non-psychiatric counterpart. In the MDD group, the most common CoD were circulatory (67.2%), respiratory (13.4%), digestive (6.0%), and cancer (5.6%). Despite employing a range of ML models, we could not find distinctive CoD patterns that could reliably distinguish individuals with MDD from individuals in the control group (average accuracy: 50.6%; accuracy range: 39-59%). These findings were consistent even when considering factors within the MDD group, such as late-life or recurrent MDD. When comparing groups with paired nominal tests, no differences were found for circulatory (p=0.450), respiratory (p=0.790), digestive (p=1.000), or cancer (p=0.855) CoD.</p><p><strong>Conclusions: </strong>Our analysis revealed that autopsy-confirmed CoD exhibited remarkable similarity between individuals with depression and their matched controls, underscoring the existing heterogeneity in the literature. Future research should prioritize more severe manifestations of depression and larger sample sizes, particularly in the context of CoD related to cancer.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11271064/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141757058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gut microbiome and metabolism alterations in schizophrenia with metabolic syndrome severity.","authors":"Hongxia Zhao, Guang Zhu, Tong Zhu, Binbin Ding, Ahong Xu, Songyan Gao, Yufan Chao, Na Li, Yongchun Chen, Zuowei Wang, Yong Jie, Xin Dong","doi":"10.1186/s12888-024-05969-9","DOIUrl":"10.1186/s12888-024-05969-9","url":null,"abstract":"<p><strong>Background: </strong>Schizophrenia (SCZ) patients undergoing antipsychotic treatment demonstrated a high prevalence and harmful effects of metabolic syndrome (MetS), which acted as the major cause of cardiovascular disease. The major clinical challenge is the lack of biomarkers to identify MetS episodes and prevent further damage, while the mechanisms underlying these drug-induced MetS remain unknown.</p><p><strong>Methods: </strong>This study divided 173 participants with SCZ into 3 groups (None, High risk, and MetS, consisting of 22, 88, and 63 participants, respectively). The potential biomarkers were searched based on 16S rRNA gene sequence together with metabolism analysis. Logistic regression was used to test the effects of the genus-metabolites panel on early MetS diagnoses.</p><p><strong>Results: </strong>A genus-metabolites panel, consisting of Senegalimassilia, sphinganine, dihomo-gamma-linolenoylcholine, isodeoxycholic acid, and MG (0:0/22:5/0:0), which involved in sphigolipid metabolism, fatty acid metabolism, secondary bile acid biosynthesis and glycerolipid metabolism, has a great discrimination efficiency to MetS with an area under the curve (AUC) value of 0.911 compared to the None MetS group (P = 1.08E-8). Besides, Senegalimassilia, 3-Hydroxytetradecanoyl carnitine, isodeoxycholic acid, and DG(TXB2/0:0/2:0) distinguished between subgroups robustly and exhibited a potential correlation with the severity of MetS in patients with SCZ, and may act as the biomarkers for early MetS diagnosis.</p><p><strong>Conclusions: </strong>Our multi-omics study showed that one bacterial genus-five lipid metabolites panel is the potential risk factor for MetS in SCZ. Furthermore, Senegalimassilia, 3-Hydroxytetradecanoyl carnitine, isodeoxycholic acid, and DG(TXB2/0:0/2:0) could serve as novel diagnostic markers in the early stage. So, it is obvious that the combination of bacterial genus and metabolites yields excellent discriminatory power, and the lipid metabolism provide new understanding to the pathogenesis, prevention, and therapy for MetS in SCZ.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11267952/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141756996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data.","authors":"Eoin McElroy, Thomas Wood, Raymond Bond, Maurice Mulvenna, Mark Shevlin, George B Ploubidis, Mauricio Scopel Hoffmann, Bettina Moltrecht","doi":"10.1186/s12888-024-05954-2","DOIUrl":"10.1186/s12888-024-05954-2","url":null,"abstract":"<p><strong>Background: </strong>Pooling data from different sources will advance mental health research by providing larger sample sizes and allowing cross-study comparisons; however, the heterogeneity in how variables are measured across studies poses a challenge to this process.</p><p><strong>Methods: </strong>This study explored the potential of using natural language processing (NLP) to harmonise different mental health questionnaires by matching individual questions based on their semantic content. Using the Sentence-BERT model, we calculated the semantic similarity (cosine index) between 741 pairs of questions from five questionnaires. Drawing on data from a representative UK sample of adults (N = 2,058), we calculated a Spearman rank correlation for each of the same pairs of items, and then estimated the correlation between the cosine values and Spearman coefficients. We also used network analysis to explore the model's ability to uncover structures within the data and metadata.</p><p><strong>Results: </strong>We found a moderate overall correlation (r = .48, p < .001) between the two indices. In a holdout sample, the cosine scores predicted the real-world correlations with a small degree of error (MAE = 0.05, MedAE = 0.04, RMSE = 0.064) suggesting the utility of NLP in identifying similar items for cross-study data pooling. Our NLP model could detect more complex patterns in our data, however it required manual rules to decide which edges to include in the network.</p><p><strong>Conclusions: </strong>This research shows that it is possible to quantify the semantic similarity between pairs of questionnaire items from their meta-data, and these similarity indices correlate with how participants would answer the same two items. This highlights the potential of NLP to facilitate cross-study data pooling in mental health research. Nevertheless, researchers are cautioned to verify the psychometric equivalence of matched items.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11267737/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141757001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Serum neurofilament light chain levels are associated with depression among US adults: a cross-sectional analysis among US adults, 2013-2014.","authors":"Ying Song, Huili Jiao, Qi Weng, Hang Liu, Li Yi","doi":"10.1186/s12888-024-05964-0","DOIUrl":"10.1186/s12888-024-05964-0","url":null,"abstract":"<p><strong>Background: </strong>Serum neurofilament light chain (sNfL) has been identified as a biomarker for neurologic diseases. However, sNfL remains unknown to be responsible for depression.</p><p><strong>Aims: </strong>The aim of this research was to explore the relationship between sNfL levels and depression in US adults.</p><p><strong>Methods: </strong>In this cross-sectional survey of the general population, we investigated representative data involving 10,175 participants from the 2013-2014 cycle of the National Health and Nutrition Examination Survey (NHANES). Depression was diagnosed using the Patient Health Questionnaire-9 (PHQ-9). The effect of related factors on depression was analyzed by conducting a univariate analysis. Stratified analysis was utilized to detect the stability and sensitivity of the relationship. After adjusting for race, education, marital status, smoking status, body mass index (BMI), sleep duration, income, and a history of hypertension, sedentary behavior and stroke, multivariable linear regression was performed to demonstrate the correlation between sNfL and depression.</p><p><strong>Results: </strong>A total of 1301 individuals between the ages of 20 and 75 were involved in this investigation, of which 108 (8.3%) were diagnosed with depression. A significant positive correlation between sNfL and depression among adults in the US was observed by conducting univariable analyses. After adjusting for confounding factors, the multivariate analyses indicated that elevated sNfL levels might play a pivotal role in the development of depression (odds ratio (OR) = 3.0; 95% confidence interval (CI): (1.5, 6.1), P = 0.002).</p><p><strong>Conclusion: </strong>These results indicated that sNfL is closely linked to depression in a nationally representative individual. However, further studies are needed to confirm the biological mechanism as well as the clinical implications of sNfL and depression.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11267666/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141756999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nurses' knowledge, attitude and practice regarding non-pharmacologic interventions for behavioral and psychological symptoms of dementia.","authors":"Hongdi Du, Xiaojing Wang, Xiaoxing Lai, Wei Wang, Xiaopeng Huo","doi":"10.1186/s12888-024-05962-2","DOIUrl":"10.1186/s12888-024-05962-2","url":null,"abstract":"<p><strong>Background: </strong>To evaluate the knowledge, attitude and practice of nurses regarding non-pharmacologic therapies for behavioral and psychological symptoms of dementia (BPSD).</p><p><strong>Methods: </strong>This cross-sectional, questionnaire-based study enrolled nurses at Peking Union Medical College Hospital (Beijing, China) between September 2022 and October 2022. Correlations between knowledge, attitude and practice scores were evaluated by Pearson correlation analysis. Factors associated with knowledge, attitude and practice scores were identified by multivariable linear regression. Based on a cross-sectional questionnaire survey, this study designed a questionnaire according to the Guidelines for Diagnosis and Treatment of Dementia in China, and randomly selected nurses from Peking Union Medical College Hospital to fill in the questions through the Wen-Juan-Xing online platform from September 2022 to October 2022.</p><p><strong>Results: </strong>The analysis included 210 nurses (202 females). The average knowledge, attitude and practice scores were 11.06±2.61 (total score: 18), 53.51±5.81 (total score: 60) and 64.66 ± 10.35 (total score: 80) points, respectively. Knowledge score was positively correlated with attitude score (r = 0.416, P < 0.001) and practice score (r = 0.389, P < 0.001); attitude and practice scores were also positively correlated (r = 0.627, P < 0.001). Multivariable analysis demonstrated that age ≥ 40 years-old (vs. ≤30 years-old) was associated with higher knowledge score (β = 1.48, 95% confidence interval [95%CI] = 0.42-2.54, P = 0.006). Age ≥ 40 years-old (β = 1.43, 95%CI = 0.35-2.51, P = 0.010 vs. ≤30 years-old) and bachelor's degree or higher (β = 1.11, 95%CI = 0.12-2.10, P = 0.028 vs. college degree or lower) were associated with higher practice score.</p><p><strong>Conclusions: </strong>Older age and higher education level were associated with higher knowledge, attitude and/or practice scores. The findings of this study may help guide the development and implementation of education and training programs to improve the management of BPSD by nurses in China.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11267692/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141756997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The expression analysis of long noncoding RNAs PCAT-1, PCAT-29, and MER11C in bipolar disorder.","authors":"Niloofar Dini, Mohammad Taheri, Zeinab Shirvani-Farsani","doi":"10.1186/s12888-024-05974-y","DOIUrl":"10.1186/s12888-024-05974-y","url":null,"abstract":"<p><p>Long non-coding RNAs (lncRNAs) are transcripts with a length of usually more than 200 nucleotides (nt) that have promised functions in varied biological processes. lncRNAs participate in the regulation of differentiation, development, and function of the brain. Thus, their dysregulation might play important roles in the etiology of neurological disorders such as BD. In this study, the expression level of PCAT-1, PCAT-29, and MER11C lncRNAs was evaluated in the blood of BD patients compared to the control group. Peripheral blood mononuclear cells of 50 BD type I patients and 50 healthy individuals were isolated. The RNAs were extracted and cDNA was synthesized. Then, the expression level of the desired lncRNAs was measured through Real-Time PCR. The expression levels of PCAT-29 and MER11C lncRNAs were significantly lower in BD patients compared to controls. However, the expression level of PCAT-1 was not significantly different between these two sets of samples. According to the ROC curve, PCAT-29 and MER11C had significant diagnostic power for the differentiation of BD patients from controls. Taken together, our results indicate dysregulation of two lncRNAs in patients with BD and the possible roles of these lncRNAs in the neuropathology of bipolar disorder.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11264442/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141751026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between pregnancy loss and depressive symptoms in women: a population-based study.","authors":"Shan Wang, Yuan Wang, Ling Tong, Jiaru Zhuang, Dewu Xu, Yibo Wu","doi":"10.1186/s12888-024-05948-0","DOIUrl":"10.1186/s12888-024-05948-0","url":null,"abstract":"<p><strong>Background: </strong>Depression is a common mental disorder with a much higher prevalence in women than in men. Although there has been a gradual increase in research on the association between reproductive health and depression, there is still some inconsistency in the evidence of the relationship between pregnancy loss and depression. This study aimed to investigate the relationship between pregnancy loss and depressive symptoms.</p><p><strong>Methods: </strong>We analyzed data from the 2007-2020 National Health and Nutrition Examination Survey (NHANES), which included female participants aged 20 to 80 years. Pregnancy loss was determined based on participants' self-reported number of pregnancies and pregnancy outcomes. Depressive symptoms were measured using the Patient Health Questionnaire (PHQ-9, score ≥ 10). Multivariate logistic regression, smoothed curve fitting, and generalized additive modeling were used to examine the association between pregnancy loss and depression. We also performed sensitivity analyses and subgroup analyses to verify the robustness and specificity of the findings.</p><p><strong>Results: </strong>A total of 12,873 female participants were included in our study, of which 1,595 (12.39%) were categorized as depressed. Multivariate logistic regression results indicated that experiencing a pregnancy loss increased the risk of prevalence of depression in women (for 1 loss: OR = 1.31, 95% CI 1.15,1.50; for 2 or more losses: OR = 1.58, 95% CI 1.38, 1.81). When sensitivity analyses were performed, an association between pregnancy loss and depression was found in both multivariate linear regressions with PHQ-9 scores as a continuous variable and multivariate logistic regressions with a threshold of 5 PHQ-9 scores. The association between pregnancy loss and depression remained stable across subgroups.</p><p><strong>Conclusion: </strong>Pregnancy loss correlated with elevated PHQ-9 scores and a heightened risk of depression in adult women across the United States. Focusing on the incidence of adverse pregnancy events in the female population may help prevent or early recognize the onset of depression.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11267727/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141750985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}