Article
Clinical Neurology
Vincenzo Oliva, Giuseppe Fanelli, Siegfried Kasper, Joseph Zohar, Daniel Souery, Stuart Montgomery, Diego Albani, Gianluigi Forloni, Panagiotis Ferentinos, Dan Rujescu, Julien Mendlewicz, Diana De Ronchi, Chiara Fabbri, Alessandro Serretti
Summary: This study found that different clinical subtypes of major depressive disorder (MDD), particularly melancholic features and typical neurovegetative symptoms, may be associated with distinct underlying genetics. These findings contribute to a better understanding of the genetic heterogeneity of MDD.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Psychology, Clinical
Jacqueline Kiewa, Samantha Meltzer-Brody, Jeanette Milgrom, Jerry Guintivano, Ian B. Hickie, David C. Whiteman, Catherine M. Olsen, Lucia Colodro-Conde, Sarah E. Medland, Nicholas G. Martin, Naomi R. Wray, Enda M. Byrne
Summary: The study found a high genetic overlap between perinatal depression (PND) and major depressive disorder (MDD), with main distinctions in genes differentially expressed in ovarian tissue and higher MDD polygenic score (PGS), particularly for women experiencing both antenatal and postpartum PND.
DEPRESSION AND ANXIETY
(2022)
Article
Biochemistry & Molecular Biology
Aneta Bednarova, Viera Habalova, Ivan Tkac
Summary: This study investigated the association between BDNF polymorphisms and depression and schizophrenia. The results showed that BDNF rs962369 was significantly associated with an increased risk of single-episode major depression disorder (MDD) and recurrent MDD, but not with schizophrenia. The frequency of the minor allele C of BDNF rs962369 varied across different subgroups, with the highest frequency in patients with recurrent MDD and the lowest in schizophrenia patients.
Article
Neurosciences
Yu Fang, Lars G. Fritsche, Bhramar Mukherjee, Srijan Sen, Leah S. Richmond-Rakerd
Summary: This study conducted a phenome-wide association study, using a polygenic risk score for Major Depressive Disorder (MDD), and found associations with a broad range of medical and psychiatric traits. The results can provide insights into the biological links between depression and both mental and systemic diseases.
BIOLOGICAL PSYCHIATRY
(2022)
Article
Neurosciences
Daniel J. Panyard, Yuetiva K. Deming, Burcu F. Darst, Carol A. Van Hulle, Henrik Zetterberg, Kaj Blennow, Gwendlyn Kollmorgen, Ivonne Suridjan, Cynthia M. Carlsson, Sterling C. Johnson, Sanjay Asthana, Corinne D. Engelman, Qiongshi Lu
Summary: Functional annotation of genomic data can be used to build tissue-specific polygenic risk score (PRS) models for Alzheimer's disease (AD), which are associated with AD diagnosis and cerebrospinal fluid biomarkers. The liver AD PRS model was particularly predictive of AD diagnosis and showed significant associations with amyloid-beta and phosphorylated tau levels.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Article
Endocrinology & Metabolism
Mei-Hsin Su, Ying-Hsiu Shih, Yen-Feng Lin, Pei-Chun Chen, Chia-Yen Chen, Po-Chang Hsiao, Yi-Jiun Pan, Yu-Li Liu, Shih-Jen Tsai, Po-Hsiu Kuo, Chi-Shin Wu, Yen-Tsung Huang, Shi-Heng Wang
Summary: This study investigates the familial aggregation and shared genetic loading between common psychiatric disorders (such as schizophrenia, major depressive disorder, and bipolar disorder) and type 2 diabetes. The results suggest a familial association between type 2 diabetes and the psychiatric disorders studied, as well as a shared genetic etiology between major depressive disorder and type 2 diabetes.
Article
Psychiatry
Kanako Ishizuka, Tomomi Ishiguro, Norio Nomura, Toshiya Inada
Summary: The study found a significant correlation between depressive states and subjective ADHD symptoms. The higher the rate of improvement in depressive symptoms, the lower the frequency of positive ADHD screening by ASRS. Caution should be exercised when using self-report scales for diagnostic evaluation of comorbid ADHD in a primary care setting.
PSYCHIATRY RESEARCH
(2021)
Article
Clinical Neurology
Shu-Fen Liao, Chun-Yun Su, Mei-Hsin Su, Cheng-Yun Chen, Chia-Yen Chen, Yen-Feng Lin, Yi-Jiun Pan, Po-Chang Hsiao, Pei-Chun Chen, Yen-Tsung Huang, Chi-Shin Wu, Shi-Heng Wang
Summary: This study aimed to investigate the genetic associations between obesity and major depressive disorder (MDD) and found that individuals with active depressive symptoms had a stronger effect of BMI polygenic effect on obesity. The findings may contribute to the design of public health interventions to reduce the disease burden caused by obesity and depression.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Neurosciences
Yuqing Sun, Meng Wang, Yuxin Zhao, Ke Hu, Yong Liu, Bing Liu
Summary: This study explored the potential of using specific polygenic risk scores (PRSs) as predictors of tau pathology and cognitive decline in non-demented individuals. The results showed that higher PRS was associated with elevated tau levels, greater rates of tau level changes, and memory impairment mediated by increased tau levels.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Article
Clinical Neurology
Christoph Kraus, Alexander Kautzky, Victoria Watzal, Anna Gramser, Bashkim Kadriu, Zhi-De Deng, Lucie Bartova, Rupert Lanzenberger, Daniel Souery, Stuart Montgomery, Julien Mendlewicz, Joseph Zohar, Giuseppe Fanelli, Alessandro Serretti, Siegfried Kasper
Summary: Individuals with major depressive disorder (MDD) are at higher risk for obesity, and weight gain is a predisposing factor for depression. Clinical data suggest that suicide risk is also elevated in obese patients. Monitoring weight gain in individuals with MDD should be a priority in clinical practice.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Psychiatry
Mengxin He, Yuqi Cheng, Zhaosong Chu, Xin Wang, Jinlei Xu, Yi Lu, Zonglin Shen, Xiufeng Xu
Summary: This study revealed significant differences in white matter network changes between MDD patients with and without melancholic features, with specific brain regions showing abnormal node attributes related to the disease characteristics. Support vector machine (SVM) analysis results demonstrated the potential for distinguishing MDD patients with or without melancholic features.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Clinical Neurology
Zezhi Li, Mei Xue, Lei Zhao, Yongjie Zhou, Xi Wu, Xiaoxian Xie, Xiaoe Lang, Xiangyang Zhang
Summary: The study found that the prevalence of major depressive episode (MDE) in first episode and drug naive (FEDN) schizophrenia patients was high at 49.30%, with factors such as male gender, smoking, psychopathology, and early age of onset being associated with MDE. Demographic and clinical variables were also found to be correlated with the severity of depression in these schizophrenia patients.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Psychiatry
Rumeysa Yeni Elbay, Aynur Gormez, Alperen Kilic, Selma Hilal Avci
Summary: The study found a high prevalence of separation anxiety disorder (SEPAD) in patients with major depressive disorder (MDD), with most cases starting in adulthood. Patients with SEPAD were more likely to use new-generation antidepressants, adjunctive medications, and have comorbidity of other anxiety disorders.
COMPREHENSIVE PSYCHIATRY
(2021)
Article
Medicine, General & Internal
Shirin Modarresi, Hoda Seens, Uzair Hussain, James Fraser, Jacob Boudreau, Joy MacDermid
Summary: The COVID-19 pandemic has negatively affected the mental health of individuals with medical conditions, particularly those with both psychiatric and physical conditions. People with a higher number of medical conditions tend to experience higher levels of anxiety and depression symptoms. Receiving treatment and functional limitations imposed by the medical condition(s) do not significantly impact the level of change in mental health.
Article
Psychiatry
Qianwen Ye, Yuanyuan Zhang, Yan Zhang, Zan Chen, Chang Yu, Chao Zheng, Haihang Yu, Dongsheng Zhou, Xingxing Li
Summary: This study suggests that VGF may play an important role in executive dysfunction in MDD patients and that VGF levels may serve as a new marker for predicting executive dysfunction in depression.
JOURNAL OF PSYCHIATRIC RESEARCH
(2022)
Article
Surgery
Kamber L. Hart, Laura T. Boitano, Adam Tanious, Mark F. Conrad, Matthew J. Eagleton, Keith D. Lillemoe, Roy H. Perlis, Sunita D. Srivastava
Summary: This study evaluates the distribution of authorship by sex over the last 10 years among the top 25 surgical journals. The study finds that there has been a slow but steady increase in the number of female authors in high-impact surgical journals during the contemporary era, although the improvement is more apparent in the first author positions.
Article
Psychiatry
Victor M. Castro, Kamber L. Hart, Chana A. Sacks, Shawn N. Murphy, Roy H. Perlis, Thomas H. McCoy
Summary: The study validated a machine learning model for predicting delirium risk in COVID-19 patients, showing consistent accuracy and discrimination in subsequent waves, but with decreased calibration due to changes in cohort composition and delirium occurrence rates.
GENERAL HOSPITAL PSYCHIATRY
(2022)
Article
Clinical Neurology
Kamber L. Hart, Michael E. Henry, Thomas H. Mccoy, Stephen J. Seiner, James Luccarelli
Summary: This study investigates the correlation between response to electroconvulsive therapy (ECT) in different treatment courses. The findings suggest that while the overall final depression symptom scores were similar, there was no correlation between the change in symptoms for individual patients between treatment series. Further research is needed to predict longitudinal ECT response.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Computer Science, Information Systems
Victor M. Castro, Vivian Gainer, Nich Wattanasin, Barbara Benoit, Andrew Cagan, Bhaswati Ghosh, Sergey Goryachev, Reeta Metta, Heekyong Park, David Wang, Michael Mendis, Martin Rees, Christopher Herrick, Shawn N. Murphy
Summary: Integrating and harmonizing disparate patient data sources into one consolidated data portal enables efficient and effective analysis for researchers. The MGB Biobank currently has over 125,000 consented patients enrolled, providing various types of data including biospecimens, health information survey, genomic data, and EHR data. The Biobank Portal allows noninformatics researchers to conduct study feasibility and extract useful data for clinical studies.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Computer Science, Information Systems
Emily R. Pfaff, Andrew T. Girvin, Davera L. Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Melissa A. Haendel, Christopher G. Chute
Summary: The informatics community collaborated to aggregate clinical data, resulting in the N3C dataset, which revealed and improved data quality issues across 56 data partners, supporting enhanced research analytics locally and in aggregate.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Medicine, General & Internal
Matthew K. Nock, Alexander J. Millner, Eric L. Ross, Chris J. Kennedy, Maha Al-Suwaidi, Yuval Barak-Corren, Victor M. Castro, Franchesca Castro-Ramirez, Tess Lauricella, Nicole Murman, Maria Petukhova, Suzanne A. Bird, Ben Reis, Jordan W. Smoller, Ronald C. Kessler
Summary: This study suggests that the ability to identify patients at high risk of suicide attempt after an emergency department visit for psychiatric problems improved using a combination of patient self-reports and electronic health records.
Article
Health Care Sciences & Services
Ilkin Bayramli, Victor Castro, Yuval Barak-Corren, Emily M. Madsen, Matthew K. Nock, Jordan W. Smoller, Ben Y. Reis
Summary: Clinical risk prediction models powered by electronic health records (EHRs) are increasingly used in clinical practice. This study found that structured EHR data performed better than unstructured data in predicting suicide risk. Combining structured and unstructured data improved the predictive performance, especially using the Random Forest model. A general framework for identifying interactions between structured and unstructured features was proposed, which can enhance current and future EHR-based clinical modeling efforts.
NPJ DIGITAL MEDICINE
(2022)
Article
Neurosciences
Jian Zhang, Anil Can, Pui Man Rosalind Lai, Srinivasan Mukundan, Victor M. Castro, Dmitriy Dligach, Sean Finan, Vivian S. Gainer, Nancy A. Shadick, Guergana Savova, Shawn N. Murphy, Tianxi Cai, Scott T. Weiss, Rose Du
Summary: This study aimed to identify image-based morphological parameters associated with middle cerebral artery (MCA) bifurcation aneurysms. The results showed that a smaller diameter size ratio, larger daughter-daughter angles, and larger parent-daughter angle ratios were significantly associated with the presence of MCA aneurysms.
JOURNAL OF STROKE & CEREBROVASCULAR DISEASES
(2022)
Article
Psychiatry
Sabine Wilhelm, Hilary Weingarden, Jennifer L. Greenberg, Susanne S. Hoeppner, Ivar Snorrason, Emily E. Bernstein, Thomas H. McCoy, Oliver T. Harrison
Summary: This study tested the usability and efficacy of coach-supported app-based cognitive behavioral therapy (CBT) for body dysmorphic disorder (BDD). The results showed that the Perspectives app-based CBT significantly reduced the severity of BDD and improved secondary outcomes.
PSYCHOTHERAPY AND PSYCHOSOMATICS
(2022)
Article
Biochemistry & Molecular Biology
Victor M. Castro, Jonathan Rosand, Joseph T. Giacino, Thomas H. McCoy, Roy H. Perlis
Summary: Neuropsychiatric symptoms may persist following acute COVID-19 illness, but they are not specific to COVID-19 and occur at similar rates among individuals hospitalized for other indications.
MOLECULAR PSYCHIATRY
(2022)
Article
Psychiatry
Ronald C. Kessler, Mark S. Bauer, Todd M. Bishop, Robert M. Bossarte, Victor M. Castro, Olga V. Demler, Sarah M. Gildea, Joseph L. Goulet, Andrew J. King, Chris J. Kennedy, Sara J. Landes, Howard Liu, Alex Luedtke, Patrick Mair, Brian P. Marx, Matthew K. Nock, Maria V. Petukhova, Wilfred R. Pigeon, Nancy A. Sampson, Jordan W. Smoller, Aletha Miller, Gretchen Haas, Jeffrey Benware, John Bradley, Richard R. Owen, Samuel House, Snezana Urosevic, Lauren M. Weinstock
Summary: Adding information from clinical notes and public records can improve the accuracy of suicide prediction models after psychiatric hospitalization.
Article
Health Care Sciences & Services
Kate H. Bentley, Kelly L. Zuromski, Rebecca G. Fortgang, Emily M. Madsen, Daniel Kessler, Hyunjoon Lee, Matthew K. Nock, Ben Y. Reis, Victor M. Castro, Jordan W. Smoller
Summary: This focus group study aims to provide insights into deploying suicide risk-prediction models in clinical practice. The study finds that healthcare providers have a positive attitude towards the practical use of automated suicide risk-prediction models and clinical decision support tools. However, they also raise concerns about potential barriers and suggest several facilitators. They express dissatisfaction with current suicide risk assessment methods and are open to using machine learning-based risk-prediction systems to inform clinical decision-making.
JMIR FORMATIVE RESEARCH
(2022)
Article
Obstetrics & Gynecology
Mark A. Clapp, Kaitlyn E. James, Thomas H. McCoy, Roy H. Perlis, Anjali J. Kaimal
Summary: The study aimed to determine if the incorporation of intrapartum factors known at the start of the second stage of labor improves the predictive performance of a comorbidity-based risk tool for severe maternal morbidity. Through a retrospective cohort study of women at eight hospitals in a single health system, it was found that combining intrapartum factors with a validated risk tool (Expanded Obstetric Comorbidity Score) can enhance the ability to predict severe maternal morbidity at the start of the second stage.
AMERICAN JOURNAL OF OBSTETRICS & GYNECOLOGY MFM
(2022)