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Wei J, Li L, Zhang J, Shi E, Yang J, Liu X. Computational Modeling of the Prefrontal-Cingulate Cortex to Investigate the Role of Coupling Relationships for Balancing Emotion and Cognition. Neurosci Bull 2024:10.1007/s12264-024-01246-7. [PMID: 38869704 DOI: 10.1007/s12264-024-01246-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/11/2024] [Indexed: 06/14/2024] Open
Abstract
Within the prefrontal-cingulate cortex, abnormalities in coupling between neuronal networks can disturb the emotion-cognition interactions, contributing to the development of mental disorders such as depression. Despite this understanding, the neural circuit mechanisms underlying this phenomenon remain elusive. In this study, we present a biophysical computational model encompassing three crucial regions, including the dorsolateral prefrontal cortex, subgenual anterior cingulate cortex, and ventromedial prefrontal cortex. The objective is to investigate the role of coupling relationships within the prefrontal-cingulate cortex networks in balancing emotions and cognitive processes. The numerical results confirm that coupled weights play a crucial role in the balance of emotional cognitive networks. Furthermore, our model predicts the pathogenic mechanism of depression resulting from abnormalities in the subgenual cortex, and network functionality was restored through intervention in the dorsolateral prefrontal cortex. This study utilizes computational modeling techniques to provide an insight explanation for the diagnosis and treatment of depression.
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Affiliation(s)
- Jinzhao Wei
- Key Laboratory of Digital Medical Engineering of Hebei Province, Hebei University, Baoding, 071000, China
- College of Electronic Information Engineering, Hebei University, Baoding, 071000, China
| | - Licong Li
- Key Laboratory of Digital Medical Engineering of Hebei Province, Hebei University, Baoding, 071000, China.
- College of Electronic Information Engineering, Hebei University, Baoding, 071000, China.
| | - Jiayi Zhang
- Key Laboratory of Digital Medical Engineering of Hebei Province, Hebei University, Baoding, 071000, China
- College of Electronic Information Engineering, Hebei University, Baoding, 071000, China
| | - Erdong Shi
- Key Laboratory of Digital Medical Engineering of Hebei Province, Hebei University, Baoding, 071000, China
- College of Electronic Information Engineering, Hebei University, Baoding, 071000, China
| | - Jianli Yang
- Key Laboratory of Digital Medical Engineering of Hebei Province, Hebei University, Baoding, 071000, China
- College of Electronic Information Engineering, Hebei University, Baoding, 071000, China
| | - Xiuling Liu
- Key Laboratory of Digital Medical Engineering of Hebei Province, Hebei University, Baoding, 071000, China.
- College of Electronic Information Engineering, Hebei University, Baoding, 071000, China.
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2
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Cai J, Zhang S, Wu R, Huang J. Association between depression and diabetes mellitus and the impact of their comorbidity on mortality: Evidence from a nationally representative study. J Affect Disord 2024; 354:11-18. [PMID: 38447915 DOI: 10.1016/j.jad.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 01/16/2024] [Accepted: 03/03/2024] [Indexed: 03/08/2024]
Abstract
BACKGROUND Depression and diabetes mellitus (DM) are major chronic noncommunicable diseases that impair one's mental and physical well-being and impose substantial burdens on the health system. Depressed individuals have an increased risk of impaired blood glucose, weight gain and dyslipidemia which could induce poorer long-term survival. METHODS 37,040 individuals from the National Health and Nutrition Examination Survey (NHANES) were included. Depressive symptoms were assessed by the Patient Health Questionnaire (PHQ-9) and classified by the total scores as no (0-4), mild (5-9), moderate (10-14), and severe (15-27). DM was determined based on self-reported medical history, clinical test results, and medication use. Logistic and Cox regression were the main statistical models. All analyses were based on weighted data from complex sampling. RESULTS The prevalence of DM was higher in depressed than non-depressed individuals (21.26 % vs. 13.75 %). The adjusted odds ratio (OR) (95 % CI) of comorbid DM increased with depression severity, from 1.00 (reference) for no depression, to 1.22 (1.09,1.36) for mild, 1.62 (1.37,1.92) for moderate, and 1.52(1.28,1.82) for severe depression. Comorbidity of DM and depression significantly associated with a higher risk of all-cause mortality, with a hazard ratio (HR) (95 % CI) = 2.09 (1.64,2.66). LIMITATIONS Dynamic demographic and metabolic data were not available. CONCLUSION Depression is associated with a higher risk of DM, which may be related to biological, socioeconomic, and medication-related factors. Comorbidity of the two worsens long-term survival. Therefore, blood glucose management and prevention of DM should be emphasized in depressed patients.
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Affiliation(s)
- Jingda Cai
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Songyan Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Renrong Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jing Huang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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Ye Z, Yang S, Lu L, Zong M, Fan L, Kang C. Unlocking the potential of the 3-hydroxykynurenine/kynurenic acid ratio: a promising biomarker in adolescent major depressive disorder. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01815-x. [PMID: 38819463 DOI: 10.1007/s00406-024-01815-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 04/19/2024] [Indexed: 06/01/2024]
Abstract
Metabolites disruptions in tryptophan (TRP) and kynurenine pathway (KP) are believed to disturb neurotransmitter homeostasis and contribute to depressive symptoms. This study aims to investigate serum levels of KP metabolites in adolescent major depressive disorder (AMDD), and examine their relationship with depression severities. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to analyze serum levels of TRP, kynurenic acid (KYNA), kynurenine (KYN), and 3-hydroxy-kynurenine (3-HK) in 143 AMDD participants and 98 healthy controls (HC). Clinical data, including Children's Depression Inventory (CDI) scores, were collected and analyzed using statistical methods, such as ANOVA, logistic regression, Receiver operating characteristic curve analysis and a significance level of p < 0.05 was used for all analyses. AMDD showed significantly decreased serum levels of KYNA (-25.5%), KYN (-14.2%), TRP (-11.0%) and the KYNA/KYN ratio (-11.9%) compared to HC (p < 0.01). Conversely, significant increases were observed in 3-HK levels (+50.4%), the 3-HK/KYNA ratio (+104.3%) and the 3-HK/KYN ratio (+93.0%) (p < 0.01). Logistic regression analysis identified increased level of 3-HK as a contributing factor to AMDD, while increased level of KYNA acted as a protective factor against AMDD. The 3-HK/KYNA ratio demonstrated an area under the curve (AUC) of 0.952. This study didn't explore AMDD's inflammatory status and its metabolites relationship explicitly. These findings indicate that metabolites of TRP and KP may play a crucial role in the pathogenesis of AMDD, emphasizing the potential of the 3-HK/KYNA ratio as a laboratory biomarker for early detection and diagnosis of AMDD.
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Affiliation(s)
- Zhihan Ye
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai, 200120, China
| | - Shuran Yang
- Department of Psychosomatic Medicine, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai, 200120, China
| | - Liu Lu
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai, 200120, China
| | - Ming Zong
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai, 200120, China
| | - Lieying Fan
- Department of Clinical Laboratory, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai, 200120, China
| | - Chuanyuan Kang
- Department of Psychosomatic Medicine, Shanghai East Hospital, Tongji University School of Medicine, 150 Ji Mo Road, Shanghai, 200120, China.
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Li YT, Zhang C, Han JC, Shang YX, Chen ZH, Cui GB, Wang W. Neuroimaging features of cognitive impairments in schizophrenia and major depressive disorder. Ther Adv Psychopharmacol 2024; 14:20451253241243290. [PMID: 38708374 PMCID: PMC11070126 DOI: 10.1177/20451253241243290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 03/14/2024] [Indexed: 05/07/2024] Open
Abstract
Cognitive dysfunctions are one of the key symptoms of schizophrenia (SZ) and major depressive disorder (MDD), which exist not only during the onset of diseases but also before the onset, even after the remission of psychiatric symptoms. With the development of neuroimaging techniques, these non-invasive approaches provide valuable insights into the underlying pathogenesis of psychiatric disorders and information of cognitive remediation interventions. This review synthesizes existing neuroimaging studies to examine domains of cognitive impairment, particularly processing speed, memory, attention, and executive function in SZ and MDD patients. First, white matter (WM) abnormalities are observed in processing speed deficits in both SZ and MDD, with distinct neuroimaging findings highlighting WM connectivity abnormalities in SZ and WM hyperintensity caused by small vessel disease in MDD. Additionally, the abnormal functions of prefrontal cortex and medial temporal lobe are found in both SZ and MDD patients during various memory tasks, while aberrant amygdala activity potentially contributes to a preference to negative memories in MDD. Furthermore, impaired large-scale networks including frontoparietal network, dorsal attention network, and ventral attention network are related to attention deficits, both in SZ and MDD patients. Finally, abnormal activity and volume of the dorsolateral prefrontal cortex (DLPFC) and abnormal functional connections between the DLPFC and the cerebellum are associated with executive dysfunction in both SZ and MDD. Despite these insights, longitudinal neuroimaging studies are lacking, impeding a comprehensive understanding of cognitive changes and the development of early intervention strategies for SZ and MDD. Addressing this gap is critical for advancing our knowledge and improving patient prognosis.
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Affiliation(s)
- Yu-Ting Li
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi’an, Shaanxi, China
| | - Chi Zhang
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi’an, Shaanxi, China
- Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
| | - Jia-Cheng Han
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi’an, Shaanxi, China
| | - Yu-Xuan Shang
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi’an, Shaanxi, China
| | - Zhu-Hong Chen
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi’an, Shaanxi, China
| | - Guang-Bin Cui
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi’an 710038, Shaanxi, China
| | - Wen Wang
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi’an 710038, Shaanxi, China
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Du R, Yang K, Li W, Wang Z, Cai H. Research status and global trends of late-life depression from 2004 to 2023: bibliometric analysis. Front Aging Neurosci 2024; 16:1393110. [PMID: 38752209 PMCID: PMC11095109 DOI: 10.3389/fnagi.2024.1393110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 04/10/2024] [Indexed: 05/18/2024] Open
Abstract
Background Global research hotspots and future research trends in the neurobiological mechanisms of late-life depression (LLD) as well as its diagnosis and treatment are not yet clear. Objectives This study profiled the current state of global research on LLD and predicted future research trends in the field. Methods Literature with the subject term LLD was retrieved from the Web of Science Core Collection, and CiteSpace software was used to perform econometric and co-occurrence analyses. The results were visualized using CiteSpace, VOSviewer, and other software packages. Results In total, 10,570 publications were included in the analysis. Publications on LLD have shown an increasing trend since 2004. The United States and the University of California had the highest number of publications, followed consecutively by China and England, making these countries and institutions the most influential in the field. Reynolds, Charles F. was the author with the most publications. The International Journal of Geriatric Psychiatry was the journal with the most articles and citations. According to the co-occurrence analysis and keyword/citation burst analysis, cognitive impairment, brain network dysfunction, vascular disease, and treatment of LLD were research hotspots. Conclusion Late-life depression has attracted increasing attention from researchers, with the number of publications increasing annually. However, many questions remain unaddressed in this field, such as the relationship between LLD and cognitive impairment and dementia, or the impact of vascular factors and brain network dysfunction on LLD. Additionally, the treatment of patients with LLD is currently a clinical challenge. The results of this study will help researchers find suitable research partners and journals, as well as predict future hotspots.
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Affiliation(s)
| | | | | | - Zhiren Wang
- Huilongguan Clinical Medical School of Peking University, Beijing Huilongguan Hospital, Beijing, China
| | - Haipeng Cai
- Huilongguan Clinical Medical School of Peking University, Beijing Huilongguan Hospital, Beijing, China
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Csukly G, Tombor L, Hidasi Z, Csibri E, Fullajtár M, Huszár Z, Koszovácz V, Lányi O, Vass E, Koleszár B, Kóbor I, Farkas K, Rosenfeld V, Berente DB, Bolla G, Kiss M, Kamondi A, Horvath AA. Low Functional network integrity in cognitively unimpaired and MCI subjects with depressive symptoms: results from a multi-center fMRI study. Transl Psychiatry 2024; 14:179. [PMID: 38580625 PMCID: PMC10997664 DOI: 10.1038/s41398-024-02891-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 04/07/2024] Open
Abstract
Evidence suggests that depressive symptomatology is a consequence of network dysfunction rather than lesion pathology. We studied whole-brain functional connectivity using a Minimum Spanning Tree as a graph-theoretical approach. Furthermore, we examined functional connectivity in the Default Mode Network, the Frontolimbic Network (FLN), the Salience Network, and the Cognitive Control Network. All 183 elderly subjects underwent a comprehensive neuropsychological evaluation and a 3 Tesla brain MRI scan. To assess the potential presence of depressive symptoms, the 13-item version of the Beck Depression Inventory (BDI) or the Geriatric Depression Scale (GDS) was utilized. Participants were assigned into three groups based on their cognitive status: amnestic mild cognitive impairment (MCI), non-amnestic MCI, and healthy controls. Regarding affective symptoms, subjects were categorized into depressed and non-depressed groups. An increased mean eccentricity and network diameter were found in patients with depressive symptoms relative to non-depressed ones, and both measures showed correlations with depressive symptom severity. In patients with depressive symptoms, a functional hypoconnectivity was detected between the Anterior Cingulate Cortex (ACC) and the right amygdala in the FLN, which impairment correlated with depressive symptom severity. While no structural difference was found in subjects with depressive symptoms, the volume of the hippocampus and the thickness of the precuneus and the entorhinal cortex were decreased in subjects with MCI, especially in amnestic MCI. The increase in eccentricity and diameter indicates a more path-like functional network configuration that may lead to an impaired functional integration in depression, a possible cause of depressive symptomatology in the elderly.
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Affiliation(s)
- Gabor Csukly
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary.
| | - László Tombor
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Zoltan Hidasi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Eva Csibri
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Máté Fullajtár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Zsolt Huszár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Vanda Koszovácz
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Orsolya Lányi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Edit Vass
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Boróka Koleszár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - István Kóbor
- Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Katalin Farkas
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
| | - Viktoria Rosenfeld
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
| | - Dalida Borbála Berente
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
| | - Gergo Bolla
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
- Department of Measurement and Information Systems, University of Technology and Economics, Budapest, Hungary
| | - Mate Kiss
- Siemens Healthcare, Budapest, Hungary
| | - Anita Kamondi
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
- Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Andras Attila Horvath
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
- Department of Anatomy Histology and Embryology, Semmelweis University, Budapest, Hungary
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7
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Eliza Georgiou EZ, Politis A, Kosmidis MH, Yannakoulia M, Dardiotis E, Hadjigeorgiou G, Sakka P, Scarmeas N, Economou P, Alexopoulos P. Depressive symptoms in the entire spectrum of cognitive ageing in Greece: evidence from the Hellenic Longitudinal Investigation of Aging and Diet (HELIAD). Int J Psychiatry Clin Pract 2024; 28:27-34. [PMID: 38145312 DOI: 10.1080/13651501.2023.2296889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 12/14/2023] [Indexed: 12/26/2023]
Abstract
OBJECTIVES To study (i) the prevalence of mild and moderate-to-severe depressive symptoms in the entire spectrum of cognitive ageing in Greece and (ii) the relationship between these symptoms and demographic and clinical data. METHODS The study was based on the randomly selected cohort of the Hellenic Longitudinal Investigation of Aging and Diet (HELIAD). Depressive symptoms were assessed with the 15-item version of the Geriatric Depression Scale. Participants also received a comprehensive neuropsychological assessment, while the clinical diagnoses of dementia and mild cognitive impairment were established according to international diagnostic criteria. Statistical analyses relied on comparison tests and a logistic (proportional odds) ordinal regression model. RESULTS Depressive symptoms were detected in 19.5% of the 1936 study participants, while 11.3% of both people with MCI and dementia had moderate-to-severe depressive symptoms. The regression model revealed that older adults with more severe depressive symptoms were more likely female, cognitively impaired, less educated, were treated with psychotropic medication and lived in Attica versus Thessaly. CONCLUSIONS Since depressive symptoms were detected in almost one in five older adults, healthcare professionals in Greece should safeguard the timely detection and effective treatment of such symptoms and the post-diagnostic care of older adults with depression.
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Affiliation(s)
- Eleni-Zacharoula Eliza Georgiou
- Department of Medicine, School of Health Sciences, Mental Health Services, Patras University General Hospital, University of Patras, Patras, Greece
| | - Antonios Politis
- First Department of Psychiatry, School of Medicine, Eginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Department of Psychiatry, Division of Geriatric Psychiatry and Neuropsychiatry, Johns Hopkins Medical School, Baltimore, MD, USA
| | - Mary H Kosmidis
- School of Psychology, Lab of Cognitive Neuroscience, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | | | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, Maroussi, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
- Department of Neurology, Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
| | - Polychronis Economou
- Department of Civil Engineering (Statistics), School of Engineering, University of Patras, Patras, Greece
| | - Panagiotis Alexopoulos
- Department of Medicine, School of Health Sciences, Mental Health Services, Patras University General Hospital, University of Patras, Patras, Greece
- Medical School, Global Brain Health Institute, Trinity College Dublin, The University of Dublin, Dublin, Republic of Ireland
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Patras Dementia Day Care Centre, Patras, Greece
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Du J, Liu N, Ma L, Liu R, Zuo D, Lan X, Yang J, Wei W, Peng X, Yu J. Antidepressant effect of the novel histone deacetylase-5 inhibitor T2943 in a chronic restraint stress mouse model. Biomed Pharmacother 2024; 171:116176. [PMID: 38242038 DOI: 10.1016/j.biopha.2024.116176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/12/2024] [Accepted: 01/13/2024] [Indexed: 01/21/2024] Open
Abstract
Depression is a prevalent and debilitating psychiatric illness. However, the antidepressant drugs currently prescribed are only effective in a limited group of patients. Histone modifications mediated by histone acetylation are considered to play an important role in the pathogenesis and treatment of depression. Recent studies have revealed that histone deacetylase inhibitors may be involved in the pathogenesis of depression and the underlying mechanism of the antidepressant therapeutic action. Here, we first conducted virtual screening of histone deacetylase-5 (HDAC5) inhibitors against HDAC5, a target closely related to depression, and identified compound T2943, further verifying its inhibitory effect on enzyme activities in vitro. After stereotaxic injection of T2943 into the hippocampus of mice, the antidepressant effect of T2943 was evaluated using behavioral experiments. We also used different proteomic and molecular biology analyses to determine and confirm that T2943 promoted histone 3 lysine 14 acetylation (H3K14ac) by inhibiting HDAC5 activity. Following the overexpression of adenoviral HDAC5 in the hippocampus of mice and subsequent behavioral analyses, we confirmed that T2943 exerts antidepressant effects by inhibiting HDAC5 activity. Our findings highlight the efficacy of targeting HDAC5 to treat depression and demonstrate the potential of using T2943 as an antidepressant.
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Affiliation(s)
- Juan Du
- College of Basic Medicine, Ningxia Medical University, Yin Chuan, China; Department of Pharmacology, College of Pharmacy, Ningxia Medical University, Yin Chuan, China; Ningxia Key Laboratory of Craniocerebral Diseases, Ningxia Medical University, Yin Chuan, China
| | - Ning Liu
- Department of Pharmacology, College of Pharmacy, Ningxia Medical University, Yin Chuan, China
| | - Lin Ma
- Department of Pharmacology, College of Pharmacy, Ningxia Medical University, Yin Chuan, China
| | - Ruyun Liu
- Department of Pharmacology, College of Pharmacy, Ningxia Medical University, Yin Chuan, China
| | - Di Zuo
- Ningxia Key Laboratory of Craniocerebral Diseases, Ningxia Medical University, Yin Chuan, China
| | - Xiaobing Lan
- Department of Pharmacology, College of Pharmacy, Ningxia Medical University, Yin Chuan, China
| | - Jiamei Yang
- Department of Pharmacology, College of Pharmacy, Ningxia Medical University, Yin Chuan, China
| | - Wei Wei
- Department of Pharmacology, College of Pharmacy, Ningxia Medical University, Yin Chuan, China
| | - Xiaodong Peng
- Department of Pharmacology, College of Pharmacy, Ningxia Medical University, Yin Chuan, China.
| | - Jianqiang Yu
- Department of Pharmacology, College of Pharmacy, Ningxia Medical University, Yin Chuan, China.
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9
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Hannon K, Bijsterbosch J. Challenges in Identifying Individualized Brain Biomarkers of Late Life Depression. ADVANCES IN GERIATRIC MEDICINE AND RESEARCH 2024; 5:e230010. [PMID: 38348374 PMCID: PMC10861244 DOI: 10.20900/agmr20230010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Abstract
Research into neuroimaging biomarkers for Late Life Depression (LLD) has identified neural correlates of LLD including increased white matter hyperintensities and reduced hippocampal volume. However, studies into neuroimaging biomarkers for LLD largely fail to converge. This lack of replicability is potentially due to challenges linked to construct variability, etiological heterogeneity, and experimental rigor. We discuss suggestions to help address these challenges, including improved construct standardization, increased sample sizes, multimodal approaches to parse heterogeneity, and the use of individualized analytical models.
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Affiliation(s)
- Kayla Hannon
- Department of Radiology, Washington University in St Louis, St Louis MO, 63110, USA
| | - Janine Bijsterbosch
- Department of Radiology, Washington University in St Louis, St Louis MO, 63110, USA
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10
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Magaki S, Zhang T, Han K, Hilda M, Yong WH, Achim C, Fishbein G, Fishbein MC, Garner O, Salamon N, Williams CK, Valdes-Sueiras MA, Hsu JJ, Kelesidis T, Mathisen GE, Lavretsky H, Singer EJ, Vinters HV. HIV and COVID-19: two pandemics with significant (but different) central nervous system complications. FREE NEUROPATHOLOGY 2024; 5:5-5. [PMID: 38469363 PMCID: PMC10925920 DOI: 10.17879/freeneuropathology-2024-5343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 03/02/2024] [Indexed: 03/13/2024]
Abstract
Human immunodeficiency virus (HIV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cause significant neurologic disease. Central nervous system (CNS) involvement of HIV has been extensively studied, with well-documented invasion of HIV into the brain in the initial stage of infection, while the acute effects of SARS-CoV-2 in the brain are unclear. Neuropathologic features of active HIV infection in the brain are well characterized whereas neuropathologic findings in acute COVID-19 are largely non-specific. On the other hand, neuropathologic substrates of chronic dysfunction in both infections, as HIV-associated neurocognitive disorders (HAND) and post-COVID conditions (PCC)/long COVID are unknown. Thus far, neuropathologic studies on patients with HAND in the era of combined antiretroviral therapy have been inconclusive, and autopsy studies on patients diagnosed with PCC have yet to be published. Further longitudinal, multidisciplinary studies on patients with HAND and PCC and neuropathologic studies in comparison to controls are warranted to help elucidate the mechanisms of CNS dysfunction in both conditions.
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Affiliation(s)
- Shino Magaki
- Section of Neuropathology, Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles CA, USA
| | - Ting Zhang
- Section of Neuropathology, Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles CA, USA
| | - Karam Han
- Section of Neuropathology, Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles CA, USA
| | - Mirbaha Hilda
- Section of Neuropathology, Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles CA, USA
| | - William H. Yong
- Department of Pathology and Laboratory Medicine, University of California-Irvine School of Medicine, Irvine, CA, USA
| | - Cristian Achim
- Department of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Gregory Fishbein
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Michael C. Fishbein
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Omai Garner
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Noriko Salamon
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Christopher K. Williams
- Section of Neuropathology, Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles CA, USA
| | - Miguel A. Valdes-Sueiras
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Jeffrey J. Hsu
- Division of Cardiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Theodoros Kelesidis
- Department of Medicine, Division of Infectious Diseases, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Glenn E. Mathisen
- Department of Infectious Diseases, Olive View-University of California Los Angeles Medical Center, Sylmar, CA, USA
| | - Helen Lavretsky
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Elyse J. Singer
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Harry V. Vinters
- Section of Neuropathology, Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles CA, USA
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Brain Research Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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11
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Mouta S, Fonseca Vaz I, Pires M, Ramos S, Figueiredo D. What do we know about pseudodementia? Gen Psychiatr 2023; 36:e100939. [PMID: 37622032 PMCID: PMC10445398 DOI: 10.1136/gpsych-2022-100939] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 07/26/2023] [Indexed: 08/26/2023] Open
Abstract
Depression and dementia can lead to generalised cognitive and memory dysfunction. Thus, differentiating these disorders is important and challenging. Pseudodementia is a term used clinically to describe symptoms that resemble dementia but are caused by other conditions (most frequently depression), rather than being recognised as an official diagnosis. Pseudodementia is characterised by a cognitive impairment that mimics dementia but which does not have its origin in neurological degeneration, deriving instead from functional psychiatric conditions. This condition is more commonly observed in older adults (particularly those over the age of 50 or 60 years), and its risk factors overlap with those for depression. Pseudodementia is essentially characterised by deficits in memory, executive function and speech and, therefore, can easily be confused with dementia, although there are aspects that allow its differentiation. Diagnosing pseudodementia can be difficult, especially as there is significant overlap between its symptoms and those of other conditions. However, it is important to recognise characteristic aspects of this disorder, as its correct identification is essential for proper treatment.
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Affiliation(s)
- Salomé Mouta
- Departamento de Psiquiatria e Saúde Mental, Unidade Local de Saude da Guarda EPE, Guarda, Portugal
| | - Isabel Fonseca Vaz
- Departamento de Psiquiatria e Saúde Mental, Unidade Local de Saude da Guarda EPE, Guarda, Portugal
| | - Miguel Pires
- Departamento de Psiquiatria e Saúde Mental, Unidade Local de Saude da Guarda EPE, Guarda, Portugal
| | - Sara Ramos
- Departamento de Saúde Mental, Unidade Local de Saúde de Matosinhos EPE, Matosinhos, Portugal
| | - Diana Figueiredo
- Departamento de Psiquiatria e Saúde Mental, Unidade Local de Saude da Guarda EPE, Guarda, Portugal
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