Discrimination of Jamaican fruit bat lymphocytes by flow cytometry.

Bats are natural reservoir hosts of many important zoonotic viruses but because there are few immunological reagents and breeding colonies available for infectious disease research, little is known about their immune responses to infection. We established a breeding colony Jamaican fruit bats ( Artibeus jamaicensis ) to study bat virology and immunology. The species is used as a natural reservoir model for H18N11 influenza A virus, and as a surrogate model for SARS-CoV-2, MERS-CoV and Tacaribe virus. As part of our ongoing efforts to develop this model organism, we sought to identify commercially available monoclonal antibodies (mAb) for profiling Jamaican fruit bat lymphocytes. We identified several cross-reactive mAb that can be used to identify T and B cells; however, we were unable to identify mAb for three informative T cell markers, CD3γ, CD4 and CD8α. We targeted these markers for the generation of hybridomas, and identified several clones to each that can be used with flow cytometry and fluorescence microscopy. Specificity of the monoclonal antibodies was validated by sorting lymphocytes, followed by PCR identification of confirmatory transcripts. Spleens of Jamaican fruit bats possess about half the number of T cells than do human or mouse spleens, and we identified an unusual population of cells that expressed the B cell marker CD19 and the T cell marker CD3. The availability of these monoclonal antibodies will permit a more thorough examination of adaptive immune responses in Jamaican fruit bats that should help clarify how the bats control viral infections and without disease. Importance: Bats naturally host a number of viruses without disease, but which can cause significant disease in humans. Virtually nothing is known about adaptive immune responses in bats because of a lack of immunological tools to examine such responses. We have begun to address this deficiency by identifying several commercially available monoclonal antibodies to human and mouse antigens that are cross-reactive to Jamaican fruit bat lymphocyte orthologs. We also generated monoclonal antibodies to Jamaican fruit bat CD3γ, CD4 and CD8α that are suitable for identifying T cell subsets by flow cytometry and immunofluorescent staining of fixed tissues. Together, these reagents will allow a more detailed examination of lymphocyte populations in Jamaican fruit bats.

Deciphering bat influenza H18N11 infection dynamics in male Jamaican fruit bats on a single-cell level.

Jamaican fruit bats (Artibeus jamaicensis) naturally harbor a wide range of viruses of human relevance. These infections are typically mild in bats, suggesting unique features of their immune system. To better understand the immune response to viral infections in bats, we infected male Jamaican fruit bats with the bat-derived influenza A virus (IAV) H18N11. Using comparative single-cell RNA sequencing, we generated single-cell atlases of the Jamaican fruit bat intestine and mesentery. Gene expression profiling showed that H18N11 infection resulted in a moderate induction of interferon-stimulated genes and transcriptional activation of immune cells. H18N11 infection was predominant in various leukocytes, including macrophages, B cells, and NK/T cells. Confirming these findings, human leukocytes, particularly macrophages, were also susceptible to H18N11, highlighting the zoonotic potential of this bat-derived IAV. Our study provides insight into a natural virus-host relationship and thus serves as a fundamental resource for future in-depth characterization of bat immunology.

Diet-induced changes in metabolism influence immune response and viral shedding dynamics in Jamaican fruit bats.

Land-use change may drive viral spillover from bats into humans, partly through dietary shifts caused by decreased availability of native foods and increased availability of cultivated foods. We manipulated diets of Jamaican fruit bats to investigate whether diet influences shedding of a virus they naturally host. To reflect dietary changes experienced by wild bats during periods of nutritional stress, bats were fed either standard or putative suboptimal diets which were deprived of protein (suboptimal-sugar) and/or supplemented with fat (suboptimal-fat). Upon H18N11 influenza A-virus infection, bats fed the suboptimal-sugar diet shed the most viral RNA for the longest period, but bats fed the suboptimal-fat diet shed the least viral RNA for the shortest period. Unlike mice and humans, bats fed the suboptimal-fat diet displayed higher pre-infection levels of metabolic markers associated with gut health. Diet-driven heterogeneity in viral shedding may influence population-level viral dynamics in wild bats and alter risk of shedding and spillover to humans.

Clinical Analysis of Polyethylene Glycol Interferon-α Treatment in 155 Hepatitis B e Antigen (HBeAg)-Positive Chronic Hepatitis B (CHB) Patients.

PURPOSE: This study aims to investigate the antiviral effect of polyethylene glycol (PEG)-interferon α-2a and PEG-interferon α-2b treatment on hepatitis B e antigen (HBeAg)-positive chronic hepatitis B (CHB) at the 48th week of treatment and the 24th and 48th week after withdrawal, in order to provide guidance on the antiviral treatment of HBeAg-positive CHB patients. MATERIAL AND METHODS: Antiviral treatment was performed on 155 HBeAg-positive CHB patients. Among these patients, 66 patients received PEG-interferon α-2a treatment and 89 patients received PEG-interferon α-2b treatment; and these treatments were administered by subcutaneous injection, once per week, which lasted for 48 weeks. Other antiviral and hepatoprotective drugs were not used during the treatment. RESULTS: At the 48th week of treatment, ALT recovery rate, HBsAg seroconversion rate, HBeAg seroconversion rate and HBV DNA titers dropped below 200 IU/mL rate were 69.7%, 6.1%, 27.3% and 50.0%, respectively, in the PEG-interferon α-2a group; and were 70.8%, 6.7%, 33.7% and 62.9%, respectively, in the PEG-interferon α-2b group. At the 24th and 48th week of follow-up after withdrawal, HBsAg seroconversion rate in these two groups did not change; and HBeAg seroconversion rate further increased. Furthermore, HBV DNA revealed a low recurrence rate. The difference between these two groups was not significantly significant. CONCLUSIONS: PEG-interferon α-2a and PEG-interferon α-2b are effective antiviral drugs for the treatment of HbeAgpositive CHB, which has a HBsAg seroconversion rate of more than 5%. Furthermore, this sustained response effect was maintained at the 24th and 48th week of follow-up after withdrawal.

Exposure to air pollution and tobacco smoking and their combined effects on depression in six low- and middle-income countries.

BackgroundLittle is known about the joint mental health effects of air pollution and tobacco smoking in low- and middle-income countries.AimsTo investigate the effects of exposure to ambient fine particulate matter pollution (PM2.5) and smoking and their combined (interactive) effects on depression.MethodMultilevel logistic regression analysis of baseline data of a prospective cohort study (n = 41 785). The 3-year average concentrations of PM2.5 were estimated using US National Aeronautics and Space Administration satellite data, and depression was diagnosed using a standardised questionnaire. Three-level logistic regression models were applied to examine the associations with depression.ResultsThe odds ratio (OR) for depression was 1.09 (95% C11.01-1.17) per 10 µg/m3 increase in ambient PM2.5, and the association remained after adjusting for potential confounding factors (adjusted OR = 1.10, 95% CI 1.02-1.19). Tobacco smoking (smoking status, frequency, duration and amount) was also significantly associated with depression. There appeared to be a synergistic interaction between ambient PM2.5 and smoking on depression in the additive model, but the interaction was not statistically significant in the multiplicative model.ConclusionsOur study suggests that exposure to ambient PM2.5 may increase the risk of depression, and smoking may enhance this effect.

Ambient PM2.5 and Stroke: Effect Modifiers and Population Attributable Risk in Six Low- and Middle-Income Countries.

BACKGROUND AND PURPOSE: Short-term exposure to ambient fine particulate pollution (PM2.5) has been linked to increased stroke. Few studies, however, have examined the effects of long-term exposure. METHODS: A total of 45 625 participants were interviewed and included in this study, the participants came from the Study on Global Ageing and Adult Health, a prospective cohort in 6 low- and middle-income countries. Ambient PM2.5 levels were estimated for participants' communities using satellite data. A multilevel logistic regression model was used to examine the association between long-term PM2.5 exposure and stroke. Potential effect modification by physical activity and consumption of fruit and vegetables was assessed. RESULTS: The odds of stroke were 1.13 (95% confidence interval, 1.04-1.22) for each 10 µg/m3 increase in PM2.5. This effect remained after adjustment for confounding factors including age, sex, smoking, and indoor air pollution (adjusted odds ratio=1.12; 95% confidence interval, 1.04-1.21). Further stratified analyses suggested that participants with higher levels of physical activity had greater odds of stroke, whereas those with higher consumption of fruit and vegetables had lower odds of stroke. These effects remained robust in sensitivity analyses. We further estimated that 6.55% (95% confidence interval, 1.97%-12.01%) of the stroke cases could be attributable to ambient PM2.5 in the study population. CONCLUSIONS: This study suggests that ambient PM2.5 may increase the risk of stroke and may be responsible for the astounding stroke burden in low- and middle-income countries. In addition, greater physical activity may enhance, whereas greater consumption of fruit and vegetables may mitigate the effect.

Application of the analytic hierarchy approach to the risk assessment of Zika virus disease transmission in Guangdong Province, China.

BACKGROUND: An international spread of Zika virus (ZIKV) infection has attracted global attention in 2015. The infection also affected Guangdong province, which is located in southern China. Multiple factors, including frequent communication with South America and Southeast Asia, suitable climate (sub-tropical) for the habitat of Aedes species, may increase the risk of ZIKV disease transmission in this region. METHODS: An analytic hierarchy process (AHP) method was used to develop a semi-quantitative ZIKV risk assessment model. After selecting indicators, we invited experts in related professions to identify the index weight and based on that a hierarchical structure was generated. Then a series of pairwise comparisons were used to determine the relative importance of the criteria. Finally, the optimal model was established to estimate the spatial and seasonal transmission risk of ZIKV. RESULTS: A total of 15 factors that potentially influenced the risk of ZIKV transmission were identified. The factor that received the largest weight was epidemic of ZIKV in Guangdong province (combined weight [CW] =0.37), followed by the mosquito density (CW = 0.18) and the epidemic of DENV in Guangdong province (CW = 0.14). The distribution of 123 districts/counties' RIs of ZIKV in Guangdong through different seasons were presented, respectively. CONCLUSIONS: Higher risk was observed within Pearl River Delta including Guangzhou, Shenzhen and Jiangmen, and the risk is greater in summer and autumn compared to spring and winter.