Identification of Bipolar Disorder and Schizophrenia Based on Brain CT and Deep Learning Methods.

With the increasing prevalence of mental illness, accurate clinical diagnosis of mental illness is crucial. Compared with MRI, CT has the advantages of wide application, low price, short scanning time, and high patient cooperation. This study aims to construct a deep learning (DL) model based on CT images to make identification of bipolar disorder (BD) and schizophrenia (SZ).

Differentiation of tuberculous and brucellar spondylitis using conventional MRI-based deep learning algorithms.

Purpose: To investigate the feasibility of deep learning (DL) based on conventional MRI to differentiate tuberculous spondylitis (TS) from brucellar spondylitis (BS).

Methods: A total of 383 patients with TS (n = 182) or BS (n = 201) were enrolled from April 2013 to May 2023 and randomly divided into training (n = 307) and validation (n = 76) sets. Sagittal T1WI, T2WI, and fat-suppressed (FS) T2WI images were used to construct single-sequence DL models and combined models based on VGG19, VGG16, ResNet18, and DenseNet121 network.

Multi-parameter MRI-Based Machine Learning Model to Evaluate the Efficacy of STA-MCA Bypass Surgery for Moyamoya Disease: A Pilot Study.

Superficial temporal artery-middle cerebral artery (STA-MCA) bypass surgery represents the primary treatment for Moyamoya disease (MMD), with its efficacy contingent upon collateral vessel development. This study aimed to develop and validate a machine learning (ML) model for the non-invasive assessment of STA-MCA bypass surgery efficacy in MMD. This study enrolled 118 MMD patients undergoing STA-MCA bypass surgery.

Melatonin protects against lipopolysaccharide-induced intra-uterine fetal death and growth retardation in mice.

Lipopolysaccharide (LPS) has been associated with adverse developmental outcomes, including intra-uterine fetal death (IUFD) and intra-uterine growth retardation (IUGR). However, the exact mechanism for LPS-induced IUFD and IURD remains unclear. LPS stimulates macrophages to generate reactive oxygen species (ROS).

Perinatal lipopolysaccharide exposure downregulates pregnane X receptor and Cyp3a11 expression in fetal mouse liver.

The pregnane X receptor (PXR) is a member of the nuclear receptor superfamily that regulates cytochrome P450 3A (CYP3A) gene transcription in a ligand-dependent manner. Lipopolysaccharide (LPS)-induced downregulation on PXR and cyp3a11 in adult mouse liver has been well characterized. In this study, we investigated the effects of maternal LPS exposure on PXR and cyp3a11 expression in fetal mouse liver.

Lipopolysaccharide treatment downregulates the expression of the pregnane X receptor, cyp3a11 and mdr1a genes in mouse placenta.

The cytochrome P450 3A (CYP3A) is a member of the cytochrome P450 monooxygenase superfamily. The multidrug resistance 1 (MDR1) gene belongs to the ATP-binding cassette (ABC) family. Pregnane X receptor (PXR) is a nuclear receptor that regulates its target gene transcription in a ligand-dependent manner.

Melatonin attenuates lipopolysaccharide-induced down-regulation of pregnane X receptor and its target gene CYP3A in mouse liver.

Pregnane X receptor (PXR) is a member of the nuclear receptor superfamily that regulates target gene transcription in a ligand-dependent manner. Our earlier study indicated that reactive oxygen species contribute to lipopolysaccharide (LPS)-induced down-regulation of PXR and its target gene CYP3A in mouse liver. Melatonin is a powerful endogenous antioxidants.

Kupffer cells and reactive oxygen species partially mediate lipopolysaccharide-induced downregulation of nuclear receptor pregnane x receptor and its target gene CYP3a in mouse liver.

Pregnane X receptor (PXR) is a member of the nuclear receptor superfamily that regulates target gene transcription in a ligand-dependent manner. The in vivo effects of lipopolysaccharide (LPS) on expression of PXR and its target gene cytochrome P450 3A (CYP3A) in mouse liver were investigated in this study. Mice were injected intraperitoneally with different doses of LPS (0.