Relationship of Interferon-γ to Cognitive Function in Midlife Women with Schizophrenia

Wilson, Kathleen; Demyanovich, Haley; Rubin, Leah H.; Wehring, Heidi J.; Kilday, Catherine; Kelly, Deanna L.

doi:10.1007/s11126-018-9591-6

Cited by 14 publications

(6 citation statements)

References 36 publications

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“…Moreover, these cytokine changes are comparably present in these disorders, again suggesting a common underlying pathway for immune dysfunction [15]. Interestingly, proinflammatory activity has been associated with structural brain changes [16] as well as with the cognitive and motor dysfunctions [17,18] seen in each of these disorders. It should be noted that although peripheral and central immune alterations are present, these may be unrelated [19] and may even be inversely related [20,21], which could point towards compensatory reverse mechanisms in the brain following systemic proinflammatory immune activity [20,21].…”

mentioning

confidence: 97%

Do Immune Dysregulations and Oxidative Damage Drive Mood and Psychotic Disorders?

Morrens¹,

Coppens²,

Walther³

2019

Neuropsychobiology

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mentioning

confidence: 97%

Do Immune Dysregulations and Oxidative Damage Drive Mood and Psychotic Disorders?

Morrens¹,

Coppens²,

Walther³

2019

Neuropsychobiology

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“…Their function is to secrete IFN- γ , promote the expression of adhesion molecules in endothelial cells and macrophages, and produce cytokines and chemokines [ 18 ]. As a decisive regulator of immune function, the IFN- γ has also become an essential factor in atherosclerosis [ 19 , 20 ]. In recent years, many large-scale studies have proved that MIG is involved in atherosclerosis [ 21 , 22 ].…”

Section: Discussionmentioning

confidence: 99%

Risk Prediction of Coronary Artery Stenosis in Patients with Coronary Heart Disease Based on Logistic Regression and Artificial Neural Network

Cheng

Han

Liang

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. Coronary heart disease (CHD) is considered an inflammatory relative disease. This study is aimed at analyzing the health information of serum interferon in CHD based on logistic regression and artificial neural network (ANN) model. Method. A total of 155 CHD patients diagnosed by coronary angiography in our department from January 2017 to March 2020 were included. All patients were randomly divided into a training set ( n = 108 ) and a test set ( n = 47 ). Logistic regression and ANN models were constructed using the training set data. The predictive factors of coronary artery stenosis were screened, and the predictive effect of the model was evaluated by using the test set data. All the health information of participants was collected. Expressions of serum IFN-γ, MIG, and IP-10 were detected by double antibody sandwich ELISA. Spearman linear correlation analysis determined the relationship between the interferon and degree of stenosis. The logistic regression model was used to evaluate independent risk factors of CHD. Result. The Spearman correlation analysis showed that the degree of stenosis was positively correlated with serum IFN-γ, MIG, and IP-10 levels. The logistic regression analysis and ANN model showed that the MIG and IP-10 were independent predictors of Gensini score: MIG (95% CI: 0.876~0.934, P < 0.001 ) and IP-10 (95% CI: 1.009~1.039, P < 0.001 ). There was no statistically significant difference between the logistic regression and the ANN model ( P > 0.05 ). Conclusion. The logistic regression model and ANN model have similar predictive performance for coronary artery stenosis risk factors in patients with CHD. In patients with CHD, the expression levels of IFN-γ, IP-10, and MIG are positively correlated with the degree of stenosis. The IP-10 and MIG are independent risk factors for coronary artery stenosis.

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“…Interferon-γ is a soluble cytokine that functions in the immune response. It is a predominant inducer of indoleamine dioxygenase (IDO) that converts tryptophan to kynurenine in kynurenine pathway [ 87 ]. IFNG-AS1 plays an important role in regulation of IFNG expression in human CD4 + T cells [ 88 ].…”

Section: Inflammatory Factorsmentioning

confidence: 99%

Genetic and molecular biology of autism spectrum disorder among Middle East population: a review

et al. 2021

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Background Autism spectrum disorder (ASD) is a neurodevelopmental disease, characterized by impaired social communication, executive dysfunction, and abnormal perceptual processing. It is more frequent among males. All of these clinical manifestations are associated with atypical neural development. Various genetic and environmental risk factors are involved in the etiology of autism. Genetic assessment is essential for the early detection and intervention which can improve social communications and reduce abnormal behaviors. Although, there is a noticeable ASD incidence in Middle East countries, there is still a lack of knowledge about the genetic and molecular biology of ASD among this population to introduce efficient diagnostic and prognostic methods. Main body In the present review, we have summarized all of the genes which have been associated with ASD progression among Middle East population. We have also categorized the reported genes based on their cell and molecular functions. Conclusions This review clarifies the genetic and molecular biology of ASD among Middle East population and paves the way of introducing an efficient population based panel of genetic markers for the early detection and management of ASD in Middle East countries.

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Relationship of Interferon-γ to Cognitive Function in Midlife Women with Schizophrenia

Cited by 14 publications

References 36 publications

Do Immune Dysregulations and Oxidative Damage Drive Mood and Psychotic Disorders?

Do Immune Dysregulations and Oxidative Damage Drive Mood and Psychotic Disorders?

Risk Prediction of Coronary Artery Stenosis in Patients with Coronary Heart Disease Based on Logistic Regression and Artificial Neural Network

Genetic and molecular biology of autism spectrum disorder among Middle East population: a review

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