Up-regulation of interferon-a/APOBEC3G signal pathway potently inactivates HIV-1 infectivity in resting CD4-T cells

Poster Presentation

Molecular Mechanism and Agricultural Application of the NifA–NifL System for Nitrogen Fixation

Nitrogen–fixing bacteria execute biological nitrogen fixation through nitrogenase, converting inert dinitrogen (N2) in the atmosphere into bioavailable nitrogen. Elaborating the molecular mechanisms of orderly and efficient biological nitrogen fixation and applying them to agricultural production can alleviate the “nitrogen problem”. Azotobacter vinelandii is a well–established model bacterium for studying nitrogen fixation, utilizing nitrogenase encoded by the nif gene cluster to fix nitrogen. In Azotobacter vinelandii, the NifA–NifL system fine–tunes the nif gene cluster transcription by sensing the redox signals and energy status, then modulating nitrogen fixation. In this manuscript, we investigate the transcriptional regulation mechanism of the nif gene in autogenous nitrogen–fixing bacteria. We discuss how autogenous nitrogen fixation can better be integrated into agriculture, providing preliminary comprehensive data for the study of autogenous nitrogen–fixing regulation

Chloride Permeability Coefficient Prediction of Rubber Concrete Based on the Improved Machine Learning Technical: Modelling and Performance Evaluation

The addition of rubber to concrete improves resistance to chloride ion attacks. Therefore, rapidly determining the chloride permeability coefficient (DCI) of rubber concrete (RC) can contribute to promotion in coastal areas. Most current methods for determining DCI of RC are traditional, which cannot account for multi-factorial effects and suffer from low prediction accuracy. Machine learning (ML) techniques have good non-linear learning capabilities and can consider the effects of multiple factors compared with traditional methods. However, ML models easily fall into the local optimum due to their parameters’ influence. Therefore, a mixed whale optimization algorithm (MWOA) was developed in this paper to optimize ML models. The main strategies are to introduce Tent mapping to expand the search range of the algorithm, to use an adaptive t-distribution dimension-by-dimensional variation strategy to perturb the optimal fitness individual to thereby improve the algorithm’s ability to jump out of the local optimum, and to introduce adaptive weights and adaptive probability threshold values to enhance the adaptive capacity of the algorithm. For this purpose, data were collected from the published literature. Three machine learning models, Extreme Learning Machine (ELM), Random Forest (RF), and Elman Neural Network (ELMAN), were built to predict the DCI of RC, and the three models were optimized using MWOA. The calculations show that the MWOA is effective with the optimized ELM, RF, and ELMAN models improving the prediction accuracy by 54.4%, 62.9%, and 36.4% compared with the initial model. The MWOA-ELM model was found to be the optimal model after a comparative analysis. The accuracy of the multiple linear regression model (MRL) and the traditional mathematical model is calculated to be 87.15% and 85.03%, which is lower than that of the MWOA-ELM model. This indicates that the ML model that is optimized using the improved whale optimization algorithm has better predictive ability than traditional models, providing a new option for predicting the DCI of RC

Clinical Analysis of Sphenoid Sinus Mucocele With Initial Neurological Symptoms

Background and Objectives: Neurological manifestations associated with sphenoid sinus mucocele (SSM) are easily misdiagnosed due to nonspecific symptoms. The objective is to analyze and report the clinical features of SSM presenting with neurological manifestations, to allow an earlier diagnosis and more timely intervention for this disease. Methods: This was a retrospective cross-sectional study including 19 patients. The detailed clinical information of 19 patients with the initial symptom of neurological manifestations caused by SSM presenting at the Second Affiliated Hospital of Wenzhou Medical University between January 2000 and May 2018 were retrospectively analyzed. Collected data including symptoms, signs, neuroimaging, and pathologic diagnoses. Results: There were eleven males and 8 females, and their ages ranged from 23 to 71 years. Headache was the most frequent symptom, in 12 of the 19 patients presenting as the initial symptom. The visual disturbance included visual loss (4/19), diplopia (3/19), and another patient had both visual loss and diplopia. Neurophysical examination found that 4 patients presented with oculomotor nerve palsy, 4 patients had optic nerve or abducens nerve palsy, and 1 patient had optic neuropathy, oculomotor nerve palsy and abducens nerve palsy simultaneously. All patients underwent endoscopic surgery and had postoperative clinical symptom improvement. Conclusions: Headache is the most common symptom of SSM and should be on the differential diagnosis of patients presenting with headache, even if in isolation. The results suggest that CT and MRI are the best tools in diagnosis of SSM and endoscopic sphenoidotomy is a safe and effective method in the treatment of SSM.</p

Clinical Analysis of Sphenoid Sinus Mucocele With Initial Neurological Symptoms

Background and Objectives: Neurological manifestations associated with sphenoid sinus mucocele (SSM) are easily misdiagnosed due to nonspecific symptoms. The objective is to analyze and report the clinical features of SSM presenting with neurological manifestations, to allow an earlier diagnosis and more timely intervention for this disease. Methods: This was a retrospective cross-sectional study including 19 patients. The detailed clinical information of 19 patients with the initial symptom of neurological manifestations caused by SSM presenting at the Second Affiliated Hospital of Wenzhou Medical University between January 2000 and May 2018 were retrospectively analyzed. Collected data including symptoms, signs, neuroimaging, and pathologic diagnoses. Results: There were eleven males and 8 females, and their ages ranged from 23 to 71 years. Headache was the most frequent symptom, in 12 of the 19 patients presenting as the initial symptom. The visual disturbance included visual loss (4/19), diplopia (3/19), and another patient had both visual loss and diplopia. Neurophysical examination found that 4 patients presented with oculomotor nerve palsy, 4 patients had optic nerve or abducens nerve palsy, and 1 patient had optic neuropathy, oculomotor nerve palsy and abducens nerve palsy simultaneously. All patients underwent endoscopic surgery and had postoperative clinical symptom improvement. Conclusions: Headache is the most common symptom of SSM and should be on the differential diagnosis of patients presenting with headache, even if in isolation. The results suggest that CT and MRI are the best tools in diagnosis of SSM and endoscopic sphenoidotomy is a safe and effective method in the treatment of SSM.</p

Alpha Interferon Potently Enhances the Anti-Human Immunodeficiency Virus Type 1 Activity of APOBEC3G in Resting Primary CD4 T Cells

The interferon (IFN) system, including various IFNs and IFN-inducible gene products, is well known for its potent innate immunity against wide-range viruses. Recently, a family of cytidine deaminases, functioning as another innate immunity against retroviral infection, has been identified. However, its regulation remains largely unknown. In this report, we demonstrate that through a regular IFN-α/β signal transduction pathway, IFN-α can significantly enhance the expression of apolipoprotein B mRNA-editing enzyme-catalytic polypeptide-like 3G (APOBEC3G) in human primary resting but not activated CD4 T cells and the amounts of APOBEC3G associated with a low molecular mass. Interestingly, short-time treatments of newly infected resting CD4 T cells with IFN-α will significantly inactivate human immunodeficiency virus type 1 (HIV-1) at its early stage. This inhibition can be counteracted by APOBEC3G-specific short interfering RNA, indicating that IFN-α-induced APOBEC3G plays a key role in mediating this anti-HIV-1 process. Our data suggest that APOBEC3G is also a member of the IFN system, at least in resting CD4 T cells. Given that the IFN-α/APOBEC3G pathway has potent anti-HIV-1 capability in resting CD4 T cells, augmentation of this innate immunity barrier could prevent residual HIV-1 replication in its native reservoir in the post-highly active antiretroviral therapy era

Numerical Simulation of Fatigue Life of Rubber Concrete on the Mesoscale

Rubber concrete (RC) exhibits high durability due to the rubber admixture. It is widely used in a large number of fatigue-resistant structures. Mesoscale studies are used to study the composition of polymers, but there is no method for fatigue simulation of RC. Therefore, this paper presents a finite element modeling approach to study the fatigue problem of RC on the mesoscale, which includes the random generation of the main components of the RC mesoscale structure. We also model the interfacial transition zone (ITZ) of aggregate mortar and the ITZ of rubber mortar. This paper combines the theory of concrete damage to plastic with the method of zero-thickness cohesive elements in the ITZ, and it is a new numerical approach. The results show that the model can simulate reasonably well the random damage pattern after RC beam load damage. The damage occurred in the middle of the beam span and tended to follow the ITZ. The model can predict the fatigue life of RC under various loads