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Article ; Online: H2V

Nan Zhou / Jinku Bao / Yuping Ning

BMC Bioinformatics, Vol 22, Iss 1, Pp 1-

a database of human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection

2021 Volume 10

Abstract: Abstract Background The ongoing global COVID-19 pandemic is caused by SARS-CoV-2, a novel coronavirus first discovered at the end of 2019. It has led to more than 50 million confirmed cases and more than 1 million deaths across 219 countries as of 11 ... ...

Abstract	Abstract Background The ongoing global COVID-19 pandemic is caused by SARS-CoV-2, a novel coronavirus first discovered at the end of 2019. It has led to more than 50 million confirmed cases and more than 1 million deaths across 219 countries as of 11 November 2020, according to WHO statistics. SARS-CoV-2, SARS-CoV, and MERS-CoV are similar. They are highly pathogenic and threaten public health, impair the economy, and inflict long-term impacts on society. No drug or vaccine has been approved as a treatment for these viruses. Efforts to develop antiviral measures have been hampered by the insufficient understanding of how the human body responds to viral infections at the cellular and molecular levels. Results In this study, journal articles and transcriptomic and proteomic data surveying coronavirus infections were collected. Response genes and proteins were then identified by differential analyses comparing gene/protein levels between infected and control samples. Finally, the H2V database was created to contain the human genes and proteins that respond to SARS-CoV-2, SARS-CoV, and MERS-CoV infection. Conclusions H2V provides molecular information about the human response to infection. It can be a powerful tool to discover cellular pathways and processes relevant for viral pathogenesis to identify potential drug targets. It is expected to accelerate the process of antiviral agent development and to inform preparations for potential future coronavirus-related emergencies. The database is available at: http://www.zhounan.org/h2v .
Keywords	Database ; Coronavirus ; Protein ; Gene ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Biology (General) ; QH301-705.5
Subject code	572
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Influenza A virus selectively elevates prostaglandin E2 formation in pro-resolving macrophages

Paul M. Jordan / Kerstin Günther / Vivien Nischang / Yuping Ning / Stefanie Deinhardt-Emmer / Christina Ehrhardt / Oliver Werz

iScience, Vol 27, Iss 1, Pp 108775- (2024)

2024

Abstract: Summary: Respiratory influenza A virus (IAV) infections are major health concerns worldwide, where bacterial superinfections substantially increase morbidity and mortality. The underlying mechanisms of how IAV impairs host defense remain elusive. ... ...

Abstract	Summary: Respiratory influenza A virus (IAV) infections are major health concerns worldwide, where bacterial superinfections substantially increase morbidity and mortality. The underlying mechanisms of how IAV impairs host defense remain elusive. Macrophages are pivotal for the innate immune response and crucially regulate the entire inflammatory process, occurring as inflammatory M1- or pro-resolving M2-like phenotypes. Lipid mediators (LM), produced from polyunsaturated fatty acids by macrophages, are potent immune regulators and impact all stages of inflammation. Using LM metabololipidomics, we show that human pro-resolving M2-macrophages respond to IAV infections with specific and robust production of prostaglandin (PG)E2 along with upregulation of cyclooxygenase-2 (COX-2), which persists after co-infection with Staphylococcus aureus. In contrast, cytokine/interferon production in macrophages was essentially unaffected by IAV infection, and the functionality of M1-macrophages was not influenced. Conclusively, IAV infection of M2-macrophages selectively elevates PGE2 formation, suggesting inhibition of the COX-2/PGE2 axis as strategy to limit IAV exacerbation.
Keywords	Immunology ; Virology ; Science ; Q
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The challenge and response of mental health institutions in COVID-19 pandemic

Gang Wang / Lina Wang / Xuebing Liu / Yuping Ning / Wei Hao

Translational Psychiatry, Vol 10, Iss 1, Pp 1-

from chaos to new normal

2020 Volume 3

Keywords	Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571 ; covid19
Language	English
Publishing date	2020-11-01T00:00:00Z
Publisher	Nature Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Selective Review of the Excitatory-Inhibitory Imbalance in Schizophrenia

Yi Liu / Pan Ouyang / Yingjun Zheng / Lin Mi / Jingping Zhao / Yuping Ning / Wenbin Guo

Frontiers in Cell and Developmental Biology, Vol

Underlying Biology, Genetics, Microcircuits, and Symptoms

2021 Volume 9

Abstract: Schizophrenia is a chronic disorder characterized by specific positive and negative primary symptoms, social behavior disturbances and cognitive deficits (e.g., impairment in working memory and cognitive flexibility). Mounting evidence suggests that ... ...

Abstract	Schizophrenia is a chronic disorder characterized by specific positive and negative primary symptoms, social behavior disturbances and cognitive deficits (e.g., impairment in working memory and cognitive flexibility). Mounting evidence suggests that altered excitability and inhibition at the molecular, cellular, circuit and network level might be the basis for the pathophysiology of neurodevelopmental and neuropsychiatric disorders such as schizophrenia. In the past decades, human and animal studies have identified that glutamate and gamma-aminobutyric acid (GABA) neurotransmissions are critically involved in several cognitive progresses, including learning and memory. The purpose of this review is, by analyzing emerging findings relating to the balance of excitatory and inhibitory, ranging from animal models of schizophrenia to clinical studies in patients with early onset, first-episode or chronic schizophrenia, to discuss how the excitatory-inhibitory imbalance may relate to the pathophysiology of disease phenotypes such as cognitive deficits and negative symptoms, and highlight directions for appropriate therapeutic strategies.
Keywords	schizophrenia ; excitatory-inhibitory imbalance (E-I imbalance) ; glutamate and gamma-aminobutyric acid (GABA) neurotransmissions ; genetic models ; microcircuits ; Biology (General) ; QH301-705.5
Subject code	150
Language	English
Publishing date	2021-10-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The gut microbiome is associated with brain structure and function in schizophrenia

Shijia Li / Jie Song / Pengfei Ke / Lingyin Kong / Bingye Lei / Jing Zhou / Yuanyuan Huang / Hehua Li / Guixiang Li / Jun Chen / Xiaobo Li / Zhiming Xiang / Yuping Ning / Fengchun Wu / Kai Wu

Scientific Reports, Vol 11, Iss 1, Pp 1-

2021 Volume 11

Abstract: Abstract The effect of the gut microbiome on the central nervous system and its possible role in mental disorders have received increasing attention. However, knowledge about the relationship between the gut microbiome and brain structure and function is ...

Abstract	Abstract The effect of the gut microbiome on the central nervous system and its possible role in mental disorders have received increasing attention. However, knowledge about the relationship between the gut microbiome and brain structure and function is still very limited. Here, we used 16S rRNA sequencing with structural magnetic resonance imaging (sMRI) and resting-state functional (rs-fMRI) to investigate differences in fecal microbiota between 38 patients with schizophrenia (SZ) and 38 demographically matched normal controls (NCs) and explored whether such differences were associated with brain structure and function. At the genus level, we found that the relative abundance of Ruminococcus and Roseburia was significantly lower, whereas the abundance of Veillonella was significantly higher in SZ patients than in NCs. Additionally, the analysis of MRI data revealed that several brain regions showed significantly lower gray matter volume (GMV) and regional homogeneity (ReHo) but significantly higher amplitude of low-frequency fluctuation in SZ patients than in NCs. Moreover, the alpha diversity of the gut microbiota showed a strong linear relationship with the values of both GMV and ReHo. In SZ patients, the ReHo indexes in the right STC (r = − 0.35, p = 0.031, FDR corrected p = 0.039), the left cuneus (r = − 0.33, p = 0.044, FDR corrected p = 0.053) and the right MTC (r = − 0.34, p = 0.03, FDR corrected p = 0.052) were negatively correlated with the abundance of the genus Roseburia. Our results suggest that the potential role of the gut microbiome in SZ is related to alterations in brain structure and function. This study provides insights into the underlying neuropathology of SZ.
Keywords	Medicine ; R ; Science ; Q
Subject code	610
Language	English
Publishing date	2021-05-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Author Correction

Shijia Li / Jie Song / Pengfei Ke / Lingyin Kong / Bingye Lei / Jing Zhou / Yuanyuan Huang / Hehua Li / Guixiang Li / Jun Chen / Xiaobo Li / Zhiming Xiang / Yuping Ning / Fengchun Wu / Kai Wu

Scientific Reports, Vol 11, Iss 1, Pp 1-

The gut microbiome is associated with brain structure and function in schizophrenia

2021 Volume 3

Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2021-08-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Reduced gray matter volume of left superior temporal gyrus in schizophrenia with auditory verbal hallucinations: a voxel-based morphometry study

Huawang, Wu / Fengchun, Wu / Xiaoyin, Ke / Ripeng, Li / Xiaobing, Lu / Yuping, Ning

BIO web of conferences. 2017, v. 8 p.01031-

2017

Abstract: Auditory verbal hallucinations (AVHs) which are the core psychopathology symptoms in schizophrenia patients cause amounts of distress, functional disability and behavioral dys-control. However, the neural mechanism with the onset of AVHs in schizophrenia ...

Abstract	Auditory verbal hallucinations (AVHs) which are the core psychopathology symptoms in schizophrenia patients cause amounts of distress, functional disability and behavioral dys-control. However, the neural mechanism with the onset of AVHs in schizophrenia remains unclear. In the present study, we recruited 30 schizophrenia patients with AVHs, 20 schizophrenia patients with non-AVHs (nAVHs), and 50 healthy controls. Structure magnetic resonance imaging was obtained, and voxel-based morphometry (VBM) was used to analyse the gray matter volume (GMV) in the three groups. We found that the GMV of anterior cingulate cortex (ACC), left superior temporal gyrus (STG), and left middle temporal gyrus (MTG) significantly decreased in schizophrenia patients compared to healthy controls. In addition, the left STG with significantly decreased volume was found in nAVHs compared to AVHs, but no significant changes of GMV in ACC and left MTG were found between AVHs and nAVHs. Our current study identified the abnormal GMV of the left STG in schizophrenia patients with AVHs. Our findings further supported the view that, whilst mild reduced GMV of the left STG might still enable the emergence of AVHs, more severe alterations may prevent the occurrence of AVHs experience.
Keywords	cerebral cortex ; magnetic resonance imaging ; mental health ; morphometry ; patients ; schizophrenia
Language	English
Publishing place	EDP Sciences
Document type	Article ; Online
Note	Resource is Open Access
ZDB-ID	2673408-4
ISSN	2117-4458
ISSN	2117-4458
DOI	10.1051/bioconf/20170801031
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Insight and attitudes towards medication among inpatients with chronic schizophrenia in the US and China.

Mohamed, Somaia / Rosenheck, Robert / He, Hongbo / Yuping, Ning

Social psychiatry and psychiatric epidemiology

2014 Volume 49, Issue 7, Page(s) 1063–1070

Abstract: Background: The impact of culture on insight on illness and attitudes towards medication among patients with schizophrenia has not been well studied. We compared inpatients in the US and in China (a culture that numerous studies have shown heavily ... ...

Abstract	Background: The impact of culture on insight on illness and attitudes towards medication among patients with schizophrenia has not been well studied. We compared inpatients in the US and in China (a culture that numerous studies have shown heavily stigmatizes mental illness and psychosis), on measures of insight and acceptance of medication, controlling for overall severity of schizophrenia symptoms. Methods: Clinical antipsychotic treatment for intervention effectiveness (CATIE) was a large study of pharmacotherapy of people with schizophrenia across the US. Insight was measured using the insight and treatment attitudes questionnaire (ITAQ) and attitudes towards medication by the drug attitude inventory (DAI) and symptoms of schizophrenia by the Positive and Negative Syndrome Scale (PANSS). These measures were applied to a sample of hospitalized patients diagnosed with schizophrenia at the Guangzhou Psychiatric hospital, the largest psychiatric hospital in Southern China. Mean ITAQ and DAI scores, net of total schizophrenia symptoms and other differences were compared at the time of admission using analysis of covariance. Results: Both insight and favourable attitudes towards medication were significantly and substantially lower in the sample from Guangzhou on bivariate analysis even after adjusting for severity of overall schizophrenia symptoms on the PANSS. Conclusion: Inpatients in China had far lower scores on measures of insight and acceptance of their need for and benefits of medication, controlling for overall severity of schizophrenia symptoms, suggesting a significant impact of Chinese culture which is presumed to more heavily stigmatize mental illness and especially psychosis, although other explanations can not be ruled out.
MeSH term(s)	Antipsychotic Agents/therapeutic use ; China/ethnology ; Chronic Disease/ethnology ; Chronic Disease/psychology ; Female ; Health Knowledge, Attitudes, Practice/ethnology ; Hospitalization ; Hospitals, Psychiatric ; Humans ; Inpatients/psychology ; Male ; Schizophrenia/drug therapy ; Schizophrenia/ethnology ; Schizophrenic Psychology ; Social Stigma ; Surveys and Questionnaires ; Treatment Outcome ; United States/ethnology
Chemical Substances	Antipsychotic Agents
Language	English
Publishing date	2014-02-19
Publishing country	Germany
Document type	Journal Article
ZDB-ID	623071-4
ISSN	1433-9285 ; 0037-7813 ; 0933-7954
ISSN (online)	1433-9285
ISSN	0037-7813 ; 0933-7954
DOI	10.1007/s00127-014-0824-1
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Prevalence and Correlation of Anxiety, Insomnia and Somatic Symptoms in a Chinese Population During the COVID-19 Epidemic

Yuanyuan Huang / Yanxia Wang / Lingyun Zeng / Jiezhi Yang / Xiuli Song / Wenwang Rao / Hehua Li / Yuping Ning / Hongbo He / Ting Li / Kai Wu / Fengjuan Chen / Fengchun Wu / Xiangyang Zhang

Frontiers in Psychiatry, Vol

2020 Volume 11

Abstract: BackgroundAnxiety has been a common mental state during the epidemic of Coronavirus Disease 2019 (COVID-19) and is usually closely related to somatization. However, no study on somatization in anxiety and its relationship with insomnia has been conducted. ...

Abstract	BackgroundAnxiety has been a common mental state during the epidemic of Coronavirus Disease 2019 (COVID-19) and is usually closely related to somatization. However, no study on somatization in anxiety and its relationship with insomnia has been conducted. Therefore, this study aimed to identify the prevalence of anxiety, somatization and insomnia and explore the relationships between different psychological states in the general population during the COVID-19 outbreak.MethodsA total of 1,172 respondents were recruited from 125 cities in mainland China by an online questionnaire survey. All subjects were evaluated with the 7-item Generalized Anxiety Disorder (GAD-7) scale, the somatization subscale of the Symptom Checklist 90-Revised (SCL-90-R), and the 7-item Insomnia Severity Index (ISI).ResultsThe percentages of anxiety, somatization, and insomnia were 33.02%, 7.59%, and 24.66%, respectively. The prevalence of somatization was 19.38% in participants with anxiety. Compared to the anxiety without somatization group, the anxiety with somatization group had a significantly higher percentage of patients with a history of physical disease and insomnia, as well as higher GAD-7 scores and SCL-90 somatization subscores (all p < 0.001). The SCL-90 somatization subscores were positively correlated with age, history of physical disease, GAD-7 scores, and ISI scores (all p < 0.001). Furthermore, multivariate logistic regression showed that GAD-7 score, ISI score, and age were risk factors for somatization in the anxious population.ConclusionsSomatic and psychological symptoms were common in the general population during the COVID-19 outbreak. Somatic symptoms, anxiety, and insomnia are closely related, and improving anxiety and sleep quality may help relieve somatic symptoms.
Keywords	prevalence ; somatic symptoms ; anxiety ; insomnia ; Coronavirus Disease 2019 ; Psychiatry ; RC435-571 ; covid19
Subject code	310
Language	English
Publishing date	2020-08-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score

Ke Hu / Meng Wang / Yong Liu / Hao Yan / Ming Song / Jun Chen / Yunchun Chen / Huaning Wang / Hua Guo / Ping Wan / Luxian Lv / Yongfeng Yang / Peng Li / Lin Lu / Jun Yan / Huiling Wang / Hongxing Zhang / Dai Zhang / Huawang Wu /

Yuping Ning / Tianzi Jiang / Bing Liu

NeuroImage: Clinical, Vol 32, Iss , Pp 102860- (2021)

2021

Abstract: Previous brain structural magnetic resonance imaging studies reported that patients with schizophrenia have brain structural abnormalities, which have been used to discriminate schizophrenia patients from normal controls. However, most existing studies ... ...

Abstract	Previous brain structural magnetic resonance imaging studies reported that patients with schizophrenia have brain structural abnormalities, which have been used to discriminate schizophrenia patients from normal controls. However, most existing studies identified schizophrenia patients at a single site, and the genetic features closely associated with highly heritable schizophrenia were not considered. In this study, we performed standardized feature extraction on brain structural magnetic resonance images and on genetic data to separate schizophrenia patients from normal controls. A total of 1010 participants, 508 schizophrenia patients and 502 normal controls, were recruited from 8 independent sites across China. Classification experiments were carried out using different machine learning methods and input features. We tested a support vector machine, logistic regression, and an ensemble learning strategy using 3 feature sets of interest: (1) imaging features: gray matter volume, (2) genetic features: polygenic risk scores, and (3) a fusion of imaging features and genetic features. The performance was assessed by leave-one-site-out cross-validation. Finally, some important brain and genetic features were identified. We found that the models with both imaging and genetic features as input performed better than models with either alone. The average accuracy of the classification models with the best performance in the cross-validation was 71.6%. The genetic feature that measured the cumulative risk of the genetic variants most associated with schizophrenia contributed the most to the classification. Our work took the first step toward considering both structural brain alterations and genome-wide genetic factors in a large-scale multisite schizophrenia classification. Our findings may provide insight into the underlying pathophysiology and risk mechanisms of schizophrenia.
Keywords	Schizophrenia ; Classification ; Structural magnetic resonance imaging ; Gray matter volume ; Polygenic risk score ; Machine learning ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurology. Diseases of the nervous system ; RC346-429
Subject code	616
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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