Identification of a linear epitope in the capsid protein of goose astrovirus with monoclonal antibody

Goose astrovirus (GoAstV) is a novel avastrovirus that typically causes gosling gout and results in 2 to 20% mortality. GoAstV capsid protein is the sole structural protein, which is responsible for viral attachment, assembly, maturation as well as eliciting host antibodies. However, the epitopes within capsid protein have not been well studied. In this study, a monoclonal antibody, named 1D7, was generated against GoAstV capsid protein by hybridoma technology. Western blot results showed that this MAb could react with recombinant capsid protein expressed in E. coli. Also, it recognized the precursor of capsid protein, VP90 and VP70, in GoAstV-infected cells. Besides, excellent specificity of MAb 1D7 was further demonstrated in indirect immunofluorescence assay and immunohistochemical analysis. Epitope mapping results revealed that MAb 1D7 recognized the epitope 33QKVY 36 within Cap protein. Sequence alignment indicated that 33QKVY 36 is a conserved epitope among the isolates of goose astrovirus type 2 (GoAstV-2), suggesting the potential for its use in GoAstV-2 specific diagnostic assay. These findings may provide some insight into a function of the GoAstV capsid protein and further contribute to the development of diagnostic methods for GoAstV infection.

Correlation between primary family caregiver identity and maternal depression risk in poor rural China

INTRODUCTION

Prenatal and postpartum depression are important public health challenges because of their long-term adverse impacts on maternal and neonatal health. This study investigated the risk of maternal depression among pregnant and postpartum women in poor rural China, along with the correlation between primary family caregiver identity and maternal depression risk.

METHODS

Pregnant women and new mothers were randomly selected from poor rural villages in the Qinba Mountains area in Shaanxi. Basic demographic information was collected regarding the women and their primary family caregivers. The Edinburgh Postnatal Depression Scale was used to identify women at risk of depression, and the Perceived Social Support Scale was used to evaluate perceived family support.

RESULTS

This study included 220 pregnant women and 473 new mothers. The mean proportions of women at risk of prenatal and postpartum depression were 19.5% and 18.6%, respectively. Regression analysis showed that identification of the baby's grandmother as the primary family caregiver was negatively correlated with maternal depression risk (β=-0.979, 95% confidence interval [CI]=-1.946 to -0.012, P=0.047). However, the husband's involvement in that role was not significantly correlated with maternal depression risk (β=-0.499, 95% CI=-1.579 to 0.581, P=0.363). Identification of the baby's grandmother as the primary family caregiver was positively correlated with family support score (β=0.967, 95% CI=-0.062 to 1.996, P=0.065).

CONCLUSION

Prenatal and postpartum depression are prevalent in poor rural China. The involvement of the baby's grandmother as the primary family caregiver may reduce maternal depression risk, but the husband's involvement in that role has no effect.

Impact of prior failed irrigation and debridement on outcomes of subsequent two-stage revision arthroplasty: a systematic review and meta-analysis

OBJECTIVE

This study aimed at examining if prior failed debridement, antibiotics, and implant retention (DAIR) for prosthetic joint infection have an impact on the success of subsequent two-stage revision arthroplasty (2SRA).

MATERIALS AND METHODS

Search was conducted on PubMed, Embase, and Google Scholar up to 14th April 2022 for studies comparing 2SRA with and without a history of DAIR.

RESULTS

Six retrospective studies were included. The success of 2SRA was defined as either absence of additional surgical intervention for infection or absence of antibiotic suppression or both. We noted no statistically significant difference in the odds of success between failed DAIR and no DAIR group, albeit with an inclination of reduced success with prior failed DAIR (OR 0.63 95% CI 0.33, 1.19 I2=66% p=0.16). Five studies reported adjusted outcomes. The meta-analysis demonstrated no statistically significant difference in the odds of success between failed DAIR and no DAIR groups (OR 0.57 95% CI 0.26, 1.26 I2=66% p=0.17). During sensitivity analysis, the removal of a single study changed the effect size indicating significantly lower success rates in failed DAIR group.

CONCLUSIONS

Our results indicate that patients undergoing 2SRA after failed DAIR may have a non-significant tendency of lower success rates as compared to patients directly undergoing 2SRA. However, current evidence is scarce and fraught with several limitations and there is a need for further research to delineate the impact of failed DAIR on the success of 2SRA.

Prediction of banana quality during storage by brown area

To study the feasibility of evaluating the quality characteristics of banana based on the browning area. The texture characteristics, total soluble solids (TSS), ascorbic acid, malondialdehyde (MDA) concentrations, relative conductivity, polyphenol oxidase, peroxidase, and phenylalanine ammonia-lyase (PAL) activities in banana peels were detected during storage. A linear model was made by principal component analysis and multiple linear regression between the banana browning area and characteristic indices. The results showed that the changes in the physiological characteristics of bananas were significantly different during different storage periods. The main factors that affected the banana browning area were relative conductivity, PAL, TSS, and MDA, indicating that lipid peroxidation, respiration, and metabolism of phenylpropanoids had significant influence on the banana browning area during storage. Thus, it is feasible to predict banana quality based on changes in browning area, which could be a rapid and non-destructive detection of banana quality during storage.

[Evolution of clinical outcomes following hepatitis C virus clearance]

As hepatitis C treatment entered the era of direct-acting antiviral drugs, an increasing number of patients received treatment and achieved virus clearance, but virus clearance is merely a relative endpoint. Future emphasis will be placed on post-treatment benefits and the evolution of clinical outcomes. This article aims to describe the improvement in all-cause mortality and hepatic and extrahepatic-related diseases following virus clearance, particularly in patients treated with direct-acting antiviral drugs.

Search for 70 μeV Dark Photon Dark Matter with a Dielectrically Loaded Multiwavelength Microwave Cavity

Microwave cavities have been deployed to search for bosonic dark matter candidates with masses of a few μeV. However, the sensitivity of these cavity detectors is limited by their volume, and the traditionally employed half-wavelength cavities suffer from a significant volume reduction at higher masses. Axion dark matter experiment (ADMX)-Orpheus mitigates this issue by operating a tunable, dielectrically loaded cavity at a higher-order mode, which allows the detection volume to remain large. The ADMX-Orpheus inaugural run excludes dark photon dark matter with kinetic mixing angle χ>10^{-13} between 65.5  μeV (15.8  GHz) and 69.3  μeV (16.8  GHz), marking the highest-frequency tunable microwave cavity dark matter search to date.

[Research progress on early warning model of influenza]

Influenza is an acute respiratory infectious disease caused by influenza virus. It usually exhibits seasonal transmission, but the novel influenza strain can lead to a pandemic with severe human health and socioeconomic consequences. Early warning of influenza epidemic is an important strategy and means for influenza prevention and control. On the basis of reviewing the main influenza surveillance and early warning systems, this study summarizes the principles, applications, advantages and disadvantages, and development prospects of common influenza early warning models, in order to provide reference for research and application of early warning technology for influenza and other acute respiratory infectious diseases.