Inverse Problem Algorithm-Based Time-Resolved Imaging of Head and Neck Computed Tomography Angiography Contrast Kinetics with Clinical Testification.

This study mitigated the challenge of head and neck CT angiography by IPA-based time-resolved imaging of contrast kinetics. To this end, 627 cerebral hemorrhage patients with dizziness, brain aneurysm, stroke, or hemorrhagic stroke diagnosis were randomly categorized into three groups, namely, the original dataset (450), verification group (112), and in vivo testified group (65), in the Affiliated BenQ Hospital of Nanjing Medical University. In the first stage, seven risk factors were assigned: age, CTA tube voltage, body surface area, heart rate per minute, cardiac output blood per minute, the actual injected amount of contrast media, and CTA delayed trigger timing. The expectation value of the semi-empirical formula was the CTA number of the patient's left artery (LA). Accordingly, 29 items of the first-order nonlinear equation were calculated via the inverse problem analysis (IPA) technique run in the STATISTICA 7.0 program, yielding a loss function and variance of 3.1837 and 0.8892, respectively. A dimensionless AT was proposed to imply the coincidence, with a lower AT indicating a smaller deviation between theoretical and practical values. The derived formula was confirmed for the verification group of 112 patients, reaching high coincidence, with average ATavg and standard deviation values of 3.57% and 3.06%, respectively. In the second stage, the formula was refined to find the optimal amount of contrast media for the CTA number of LA approaching 400. Finally, the above procedure was applied to head and neck CTA images of the third group of 65 patients, reaching an average CTA number of LA of 407.8 ± 16.2 and finding no significant fluctuations.

Cell-specific genome-scale metabolic modeling of SARS-CoV-2-infected lung to identify antiviral enzymes.

Computational systems biology plays a key role in the discovery of suitable antiviral targets. We designed a cell-specific, constraint-based modeling technique for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected lungs. We used the gene sequence of the alpha variant of SARS-CoV-2 to build a viral biomass reaction (VBR). We also used the mass proportion of lipids between the viral biomass and its host cell to estimate the stoichiometric coefficients of viral lipids in the reaction. We then integrated the VBR, the gene expression of the alpha variant of SARS-CoV-2, and the generic human metabolic network Recon3D to reconstruct a cell-specific genome-scale metabolic model. An antiviral target discovery (AVTD) platform was introduced using this model to identify therapeutic drug targets for combating COVID-19. The AVTD platform not only identified antiviral genes for eliminating viral replication but also predicted side effects of treatments. Our computational results revealed that knocking out dihydroorotate dehydrogenase (DHODH) might reduce the synthesis rate of cytidine-5'-triphosphate and uridine-5'-triphosphate, which terminate the viral building blocks of DNA and RNA for SARS-CoV-2 replication. Our results also indicated that DHODH is a promising antiviral target that causes minor side effects, which is consistent with the results of recent reports. Moreover, we discovered that the genes that participate in the de novo biosynthesis of glycerophospholipids and ceramides become unidentifiable if the VBR does not involve the stoichiometry of lipids.

Human/SARS-CoV-2 genome-scale metabolic modeling to discover potential antiviral targets for COVID-19.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused a substantial increase in mortality and economic and social disruption. The absence of US Food and Drug Administration-approved drugs for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) highlights the need for new therapeutic drugs to combat COVID-19. METHODS: The present study proposed a fuzzy hierarchical optimization framework for identifying potential antiviral targets for COVID-19. The objectives in the decision-making problem were not only to evaluate the elimination of the virus growth, but also to minimize side effects causing treatment. The identified candidate targets could promote processes of drug discovery and development. SIGNIFICANT FINDINGS: Our gene-centric method revealed that dihydroorotate dehydrogenase (DHODH) inhibition could reduce viral biomass growth and metabolic deviation by 99.4% and 65.6%, respectively, and increase cell viability by 70.4%. We also identified two-target combinations that could completely block viral biomass growth and more effectively prevent metabolic deviation. We also discovered that the inhibition of two antiviral metabolites, cytidine triphosphate (CTP) and uridine-5'-triphosphate (UTP), exhibits effects similar to those of molnupiravir, which is undergoing phase III clinical trials. Our predictions also indicate that CTP and UTP inhibition blocks viral RNA replication through a similar mechanism to that of molnupiravir.

A novel method to calculate pressure on the twin-tunnel in layered strata.

Tunnel pressure from the surrounding rocks plays a critical role for the safety of tunnel. The existing methods for calculate twin-tunnel pressure supposed that the tunnel is buried in a uniform soil layer. This work presents detailed equations of an analytical method to calculate the twin-tunnel pressure in layered strata, which can consider the effects from soil layers. The proposed method is applied to analyse the pressure of the metro twin-tunnels in Chongqing. To demonstrate the efficiency of the proposed analytical method, both the tunnel pressure in layered strata and single strata were calculated. The method article is a companion paper with the original article [1]. • Analyses of the soil parameters; • Determine the failure pattern A/B; • Calculate the vertical and horizontal pressure.

4- Substituted sampangine derivatives: Novel acetylcholinesterase and ß-myloid aggregation inhibitors.

A series of 4- substituted sampangine derivatives (4-aminoalkylaminosampangine Ar-NH(CH2)nNR1R2) has been designed, synthesized, and tested for their ability to inhibit acetylcholinesterase (AChE), butyrylcholinesterase (BChE) and ß-myloid (Aß) aggregation. The synthetic compounds exhibited high AChE inhibitory activity and a significant in vitro inhibitory potency toward the self-induced Aß aggregation. While, treatment of SH-SY5Y cells overexpressing the Swedish mutant form of human ß-amyloid precursor protein (APPsw) with derivatives was associated with significant reduction of Aß42 secretion levels. Moreover, most of the synthetic compounds were predicted to be able to cross the blood-brain barrier (BBB) to reach their targets in the central nervous system (CNS) according to a parallel artificial membrane permeation assay for BBB. The result encourages us to study this class of compounds thoroughly and systematically.

Evaluation of the protective effect of Zhi-Zi-da-Huang decoction on acute liver injury with cholestasis induced by α-naphthylisothiocyanate in rats.

ETHNOPHARMACOLOGICAL RELEVANCE: Zhi-Zi-Da-Huang decoction (ZZDHD), a classic traditional Chinese medicine (TCM) formula composed of four herbal medicines, has been widely used to treat various hepatobiliary disorders for a long time in China. However, the pharmacological effect of ZZDHD on liver injury with cholestasis is unrevealed. AIM OF THE STUDY: To investigate the hepatoprotective effect of ZZDHD against α-naphthylisothiocyanate (ANIT)-induced liver injury with cholestasis in rats. MATERIALS AND METHODS: The rats were intragastrically (i.g.) given ZZDHD at doses of 1, 2 and 4 g/kg (crude drug/body weight) once a day for seven days and treated with ANIT (75 mg/kg via i.g.) to cause liver injury at 12h after the fifth administration. The serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), γ-glutamyltranspeptidase (γ-GTP), total bilirubin (TBIL), direct bilirubin (DBIL) and total bile acid (TBA), as well as bile flow were measured at 48 h after ANIT treatment to evaluate the protective effect of ZZDHD. Moreover, the possible protective mechanisms were elucidated by assays of liver enzyme activities and component contents including malondialdehyde (MDA), myeloperoxidase (MPO), lipid peroxide (LPO), superoxide dismutase (SOD), glutathione peroxidase (GPx), and catalase (CAT). The biochemical observations were supplemented by histopathological examination. Ultra fast liquid chromatography-mass spectrometry (UFLC-MS) was used for the phytochemical analysis of ZZDHD. RESULTS: The high dose (4 g/kg) and middle dose (2g/kg) of ZZDHD exhibited significant and dose-dependent protective effect on ANIT-induced liver injury with cholestasis by reversing the changes in bile flow, the serum and hepatic enzymes, and histopathology of the liver tissue. Meanwhile, it was found that the low dose (1g/kg) of ZZDHD did not improve the biochemical indexes except serum TBIL, DBIL and TBA, which showed little protective effect. Phytochemical analysis revealed the presence of sixteen compounds in ZZDHD. CONCLUSIONS: This study indicates that ZZDHD exerted a hepatoprotective effect on ANIT-induced liver injury with cholestasis in rats, and the mechanism of this activity is possibly related to its antioxidant properties.