Assessment of Global Antibiotic Exposure Risk for Crops: Incorporating Soil Adsorption via Machine Learning.

The overuse and misuse of antibiotics could significantly increase their accumulation in soils. Consequently, antibiotics possibly enter food chain through crop uptake, posing a threat to global food security. Assessing the exposure risks of antibiotics for crops is crucial for addressing this global issue. In this study, we assessed global antibiotic exposure risk for crops, incorporating a machine learning adsorption model based on 4893 data sets from nine antibiotics. The optimized machine learning adsorption model, using the eXtreme Gradient Boosting algorithm and the class-specific modeling strategy, demonstrated relatively good performance. Notably, we introduced unsaturated soil conditions and considered spatiotemporal variations in soil moisture and temperature for the first time in such a risk assessment. Global distributions of antibiotic exposure risk for crops were predicted for March, June, September, and December. The results indicate that soil moisture significantly influences the exposure risk assessment. Relatively high exposure risk for crops was observed during months with colder local temperatures: generally June for the Southern Hemisphere and December for the Northern Hemisphere. The resulting map highlights high-risk agricultural regions, including southern Canada, western Russia, and southern Australia.

Alternative Splicing Plays a Crucial Role in the Salt Tolerance of Foxtail Millet.

Foxtail millet is an important cereal crop that is relatively sensitive to salt stress, with its yield significantly affected by such stress. Alternative splicing (AS) widely affects plant growth, development, and adaptability to stressful environments. Through RNA-seq analysis of foxtail millet under different salt treatment periods, 2078 AS events were identified, and analyses were conducted on differential gene (DEG), differential alternative splicing gene (DASG), and overlapping gene. To investigate the regulatory mechanism of AS in response to salt stress in foxtail millet, the foxtail millet AS genes SiCYP19, with two AS variants (SiCYP19-a and SiCYP19-b), were identified and cloned. Yeast overexpression experiments indicated that SiCYP19 may be linked to the response to salt stress. Subsequently, we conducted overexpression experiments of both alternative splicing variants in foxtail millet roots to validate them experimentally. The results showed that, under salt stress, both SiCYP19-a and SiCYP19-b jointly regulated the salt tolerance of foxtail millet. Specifically, overexpression of SiCYP19-b significantly increased the proline content and reduced the accumulation of reactive oxygen species (ROS) in foxtail millet, compared to that in SiCYP19-a. This shows that SiCYP19-b plays an important role in increasing the content of proline and promoting the clearance of ROS, thus improving the salt tolerance of foxtail millet.

Efficacy and safety of Pien Tze Huang capsules in patients with herpes zoster: A multicenter, randomized, double-blinded, and placebo-controlled trial.

BACKGROUND: Herpes zoster (HZ) is a common medical condition accompanied by several distressing symptoms, including acute pain. Pien Tze Huang (PZH) is a well-known traditional Chinese medicine (TCM) with numerous pharmacological effects, including antiviral properties, neuroprotection, and immunity regulation. PURPOSE: To investigate the efficacy and safety of PZH capsules in patients with HZ. STUDY DESIGN: A multicenter, double-blinded, randomized, and placebo-controlled trial from 8 hospitals in 5 cities of China. METHODS: Eligible participants were randomly assigned to the PZH capsule and placebo group at a 1:1 ratio. Treatment was conducted for 14 days with a window period of no more than 2 days. For the first 7 days, participants received antiviral drugs combined with PZH capsules (0.6 g/time, 3 times a day) or placebos. For the remaining 7 days, they were only treated with PZH capsules (0.6 g/time, 3 times a day) or placebos. RESULTS: We included 222 patients in the full analysis set (FAS), and 187 patients in the per protocol set (PPS). The change of numeric rating scale pain scores from baseline to the seventh day (±1 day) after treatment in the PZH capsule group was statistically superior to the placebo group (FAS: 2.33 vs. 1.71, 97.5%CI: 0.03 ∼ 1.19; PPS: 2.29 vs. 1.51, 97.5%CI: 0.18 ∼ 1.38). In the PPS, there was a significant difference in the time (days) of pain relief between the placebo group and the PZH capsule group (Mean (SD): 5.71 (3.76) vs. 4.69 (3.57), p = 0.046). On the seventh day (±1 day) after treatment, the level of CD8+ cells in the PZH capsule group were higher than those of the placebo group (FAS: Mean (SD): 24.08 (6.81) vs. 21.93 (8.19), p = 0.007; PPS: Mean (SD): 24.26 (6.93) vs. 22.15 (8.51), p = 0.012). The level of cytotoxic lymphocyte cells found similar results on the seventh day (±1 day) (FAS: Mean (SD): 12.17 (4.65) vs. 10.55 (4.15), p = 0.018; PPS: Mean (SD): 12.25 (4.65) vs. 10.11 (3.93), p = 0.002). No serious adverse events were noted and PZH capsules were well tolerated. CONCLUSION: PZH capsules confer therapeutic effects on HZ with the TCM symptom of stagnated heat of liver channel by substantially reducing the pain intensity, shortening the time of pain relief as well as regulating the immune function. On the basis of the efficacy and safety profiles, PZH capsules may be a promising complementary therapy for the treatment of HZ.

Immunogenic cell death-related classification reveals prognosis and effectiveness of immunotherapy in breast cancer.

Lack of specific biomarkers and effective drug targets constrains therapeutic research in breast cancer (BC). In this regard, therapeutic modulation of damage-associated molecular patterns (DAMPs)-induced immunogenic cell death (ICD) may help improve the effect of immunotherapy in individuals with BC. The aim of this investigation was to develop biomarkers for ICD and to construct ICD-related risk estimation models to predict prognosis and immunotherapy outcomes of BC. RNA-seq transcriptome information and medical data from individuals with BC (n = 943) were obtained from TCGA. Expression data from a separate BC cohort (GEO: GSE20685) were used for validation. We identified subtypes of high and low ICD gene expression by consensus clustering and assessed the connection between ICD subtypes and tumor microenvironment (TME). In addition, different algorithms were used to construct ICD-based prognostic models of BC. BC samples were categorized into subtypes of high and low ICD expression depending on the expression of genes correlated with ICD. The subtype of ICD high-expression subtypes are correlated with poor prognosis in breast cancer, while ICD low-expression subtypes may predict better clinical outcomes. We also created and verified a predictive signature model depending on four ICD-related genes (ATG5, CD8A, CD8B, and HSP90AA1), which correlates with TME status and predicts clinical outcomes of BC patients. We highlight the connection of ICD subtypes with the dynamic evolution of TME in BC and present a novel ICD-based prognostic model of BC. In clinical practice, distinction of ICD subtype and assessment of ICD-related biomarkers should help guide treatment planning and improve the effectiveness of tumor immunotherapy.

Relationship between health literacy of primary school teachers and health behavior of students in Baoji city / 中国学校卫生

Objective@#To understand the current situation and the relationship between the health literacy of primary school teachers and health behavior literacy of students, and to provide some inspiration for the reform of health promotion and education in school.@*Methods@#Twelve primary schools were selected from Jintai district, Chencang district and Long county，and we used stratified cluster random sampling method to choose 334 primary school teachers and 622 students of grade 4 and 6 to fill out the questionnaire.@*Results@#Nearly 46.71% of all the teachers had adequate health literacy. Multivariate Logistic regression analysis showed that the urban and rural (OR=2.30, 95%CI=1.30-4.07) and gender (OR=2.62, 95%CI=1.36-5.05) were statistically significant for the health literacy among teachers; Adequate health behavior literacy was found in 46.78% of all the students，multivariate Logistic regression analysis also showed the urban and rural (OR=2.07, 95%CI=1.33-3.24）and mother’s education (OR=2.01-2.41, 95%CI=1.25-4.76) were statistically significant. Spearman correlation coefficient between health literacy of the teachers and students was(r=0.69, P<0.05).@*Conclusion@#The relation between health literacy of the teachers and students is positive. To improve the health literacy of primary school students, health literacy of primary school teachers should be improved first in China.