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We collected solonchaks samples of 5 subtypes and 13 genera from Gansu Province in China and analyzed the diversity of fungal communities with the methods of ITS sequencing. We found that ACE, Chao 1, Simpson and Shannon indices of the fungal community varied significantly in soil samples and were generally inversely correlated with pH. The dominant fungal groups were Ascomycota and Basidiomycota among the different solonchaks. Redundancy analysis revealed that soil organic matters was the most important driving force for fungal composition (29.9%), and the second most influencing factor was sulfate ion (9.1%). Our results suggest that Ascomycota was the main indicator phylum reflecting changes of the microbial groups and soil organic matter as a key factor drove the composition of fungal community in 5 subtypes and 13 genera of solonchaks in Gansu Province. [ABSTRACT FROM AUTHOR]

Background: The saline-alkali soil area accounts for over 1/4-1/5 of the land area in Gansu Province of China, which are mainly distributed in the north of Hexi corridor and Jingtai basin. The unique ecological environment contains unique and diverse microbial resources. The investigation of microbial diversity in saline environment is vital to comprehend the biological mechanisms of saline adaption, develop and utilize microbial resources. Results: The Illumina MiSeq sequencing method was practiced to investigate the bacterial diversity and composition in the 5 subtypes and 13 genera of saline-alkali soil in Gansu Province, China. The results from this study show that Proteobacteria, Bacteroidetes, Actinobacteria, Firmicutes, and Gemmatimonadetes were the dominant bacterial groups in 13 saline soil. Proteobacteria had the greatest abundance in sulfate-type meadow solonchaks and orthic solonchaks, chloride-type orthic solonchaks and bog solonchaks, sulfate-chloride-type, chloride-sulfate-type, and sulfate-type dry solonchaks. Halobacteria was the dominant bacterial class in soil samples except for sulfate-type meadow solonchaks and orthic solonchaks, chloride-type orthic solonchaks and bog solonchaks. The richness estimators of Ace and Chao 1 and the diversity indices of Shannon and Simpson revealed the least diversity in bacterial community in sulfate-chloride-type orthic solonchaks. Conclusions: The sulfate anion was the most important driving force for bacterial composition (17.7%), and the second most influencing factor was pH value (11.7%). [ABSTRACT FROM AUTHOR]

The seasonal and spatial variations (desert, desert-oasis, and oasis) in some enzyme activities (urease, alkaline phosphatase, nitrate reductase, dehydrogenase, and catalase) in the 0–20 cm and 20–40 cm soil layers were evaluated along a typical desert-oasis transition zone in the Shule River basin in China. The results showed that there was a significant positive correlation of soil urease, alkaline phosphatase, dehydrogenase, and catalase activities with vegetation coverage and available phosphorus while they had a negative correlation with soil pH and EC. Nitrate reductase activity was positively correlated with soil pH and EC but was negatively correlated with elevation and vegetation coverage. According to the redundancy analysis, environmental factors (elevation, vegetation coverage, soil moisture contents, pH, EC, OM, AP and AK) in this study explained 89.8% of the soil enzymatic activity variations when combined (p < 0.01). The Monte Carlo simulation showed that the order of importance of environmental factors on soil enzyme activities was as follows: vegetation coverage (42.5%) > elevation (38.0%) > EC (30.7%) > AP (18.1%) > pH (15.4%). Accordingly, catalase activity exhibited sensitivity to changes in land use intensity and no seasonal variation, suggesting that it is the soil biological activity indicator best suited for measuring existing conditions and potential changes in the desert-oasis transition zone soils. [ABSTRACT FROM AUTHOR]

Hepatitis C virus (HCV) infection continues to be a major public health concern in China. There is little information available in the literature about age- and sex-specific HCV incidence trends. The goal of this study was to examine recent trends in HCV incidence rates in Hunan, China, according to age and gender. A descriptive study was implemented with a joinpoint analysis. Based on the annual reported incidence data of hepatitis C in Hunan, China, from 2004 to 2017, we performed a joinpoint regression analysis to examine trends in the annual percentage change (APC) and the average annual percentage change (AAPC) in the incidence of HCV infection throughout the study period; we stratified the analysis by gender and age. The software calculates the APC, AAPC and the 95% confidence intervals for each trend segment and tests whether the slope for each segment has a significant difference from the prior segment using a Z test. From 2004 to 2017, the overall incidence rate of HCV infection rose from 0.93 per 100,000 to 20.88 per 100,000 (AAPC, 25.2%). In particular, women aged ≥65 years had the fastest increasing rate (AAPC, 29.9%). The incidence of different demographic groups showed no significant difference in increasing trends before 2013. However, new patterns emerged after 2013: the incidence of people aged 0–14 years was no longer significantly elevated; a significant yearly decline occurred in the incidence of HCV in people aged 15–29 years; the incidence of HCV in people aged ≥30 years continued to increase, with significantly slower increasing rates than before; and women aged ≥65 years showed a significantly higher yearly increase in incidence than that in men in the same age group (APC, 11.1% in women versus 5.3% in men). The overall increasing rate of HCV infection significantly slowed after 2007 and 2013. The differences in incidence trends among demographic groups have obviously increased in the last 5 years, and the reasons underlying these different trends urgently require further study. People in older age groups, especially women aged ≥65 years, still experienced increases in incidence rates in the last 5 years. This finding indicates that programmes for the prevention and control of HCV infection in older people require continued strengthening. • This study describes the age- and sex-specific incidence trends of hepatitis C virus (HCV) infection in Hunan, China. • Joinpoint model illustrated the annual percentage change of HCV infection incidence trend. • Time trends of HCV infection incidence rates show significant changes over time. • The differences in incidence trends among demographic groups have obviously increased in the last 5 years. • People in high-age groups have still experienced increases in incidence rates in the last 5 years. [ABSTRACT FROM AUTHOR]

High-throughput sequencing was used to investigate the archaeal community structure and diversity, and associated influencing factors in the 5 subtypes and 13 genera of saline-alkali soil in Gansu Province, China. The results indicated the analysis of chemical parameters demonstrated statistically significant differences in these soils. Operational taxonomic units (OTUs), Chao 1, ACE, Simpson, and Shannon indexes of the archaeal community varied significantly in the 5 subtypes and 12 genera of soil except for chloride-type orthic solonchaks. The abundance was highest for sulfate-chloride-type meadow solonchaks and lowest for chloride-sulfate-type dry solonchaks. The diversity was highest for chloride-sulfate-type orthic solonchaks and lowest for sulfate-type orthic solonchaks. The archaeal community was dominated by the Euryarchaeota and Crenarchaeota. Except chloride-type orthic solonchaks; Halomicrobium in chloride-type meadow solonchaks (12.7%); Halobacterium in sulfate-chloride-type and chloride-sulfate-type dry solonchaks (11.1% and 9.2%, respectively); Candidatus Nitrososphaera in sulfate-chloride-type, chloride-sulfate-type, and sulphate-type meadow solonchaks; sulfate-type orthic solonchaks; and chloride bog solonchaks (9.0%, 21.6%, 27.0%, 45.3%, and 30.0%, respectively); Halorhabdus in sulfate-chloride-type orthic solonchaks, magnesium alkalized solonchaks, chloride-type dry solonchaks (15.7%, 11.5%, and 5.9%, respectively); and Haloarcula in chloride-sulfate-type orthic solonchaks (8.1%) were the most dominant archaea. Redundancy analysis showed that archaeal diversity was influenced by soil organic matter, total salt, sulfate anion, and zinc contents and pH. These results will lead to more comprehensive understanding of how 5 subtypes and 13 soil genera of saline-alkali soil affects microbial distribution. Image 1 [ABSTRACT FROM AUTHOR]

Lead (Pb), cadmium (Cd) and total mercury (THg) are toxic heavy metals (THMs) that are widely present in the environment and can cause substantial health problems. However, previous risk assessment studies have rarely focused on the elderly population and have usually targeted a single heavy metal, which might underestimate the long-term accumulative and synergistic effects of THMs in humans. Based on the food frequency questionnaire and inductively coupled plasma mass spectrometry, this study assessed external and internal exposures to Pb, Cd and THg in 1747 elderly people in Shanghai. Probabilistic risk assessment with the relative potential factor (RPF) model was used to assess the neurotoxicity and nephrotoxicity risks of combined THMs exposures. The mean external exposures of Pb, Cd and THg in Shanghai elderly were 46.8, 27.2 and 4.9 μg/day, respectively. Plant-based foods are the main source of Pb and THg exposure, while Cd is mainly from animal-based foods. The mean concentrations of Pb, Cd and THg were 23.3, 1.1 and 2.3 μg/L in the whole blood, and 6.2, 1.0 and 2.0 μg/L in the morning urine, respectively. Combined exposure to THMs leading to 10.0 % and 7.1 % of Shanghai elderly at risk of neurotoxicity and nephrotoxicity. The results of this study have important implications for understanding the profiles of Pb, Cd and THg exposure in the elderly living in Shanghai and provide data support for risk assessment and control of nephrotoxicity and neurotoxicity from combined THMs exposure in the elderly., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

In 2022, breast cancer will become an important factor affecting women's public health and HER2 positivity for approximately 15-20$ \% $ invasive breast cancer cases. Follow-up data for HER2-positive patients are rare, and research on prognosis and auxiliary diagnosis is still limited. In light of the findings obtained from the analysis of clinical features, we have developed a novel multiple instance learning (MIL) fusion model that integrates hematoxylin-eosin (HE) pathological images and clinical features to accurately predict the prognostic risk of patients. Specifically, we segmented the HE pathology images of patients into patches, clustered them by K-means, aggregated them into a bag feature-level representation through graph attention networks (GATs) and multihead attention networks, and fused them with clinical features to predict the prognosis of patients. We divided West China Hospital (WCH) patients (n = 1069) into a training cohort and internal validation cohort and used The Cancer Genome Atlas (TCGA) patients (n = 160) as an external test cohort. The 3-fold average C-index of the proposed OS-based model was 0.668, the C-index of the WCH test set was 0.765, and the C-index of the TCGA independent test set was 0.726. By plotting the Kaplan-Meier curve, the fusion feature (P = 0.034) model distinguished high- and low-risk groups more accurately than clinical features (P = 0.19). The MIL model can directly analyze a large number of unlabeled pathological images, and the multimodal model is more accurate than the unimodal models in predicting Her2-positive breast cancer prognosis based on large amounts of data.

Background: The United Nations Sustainable Development Goals for 2030 include reducing premature mortality from noncommunicable diseases by one-third. Although previous modeling studies have predicted premature mortality from noncommunicable diseases, the predictions for cancer and its subcategories are less well understood in China., Objective: The aim of this study was to project premature cancer mortality of 10 leading cancers in Hunan Province, China, based on various scenarios of risk factor control so as to establish the priority for future interventions., Methods: We used data collected between 2009 and 2017 from the Hunan cancer registry annual report as empirical data for projections. The population-attributable fraction was used to disaggregate cancer deaths into parts attributable and unattributable to 10 risk factors: smoking, alcohol use, high BMI, diabetes, physical inactivity, low vegetable and fruit intake, high red meat intake, high salt intake, and high ambient fine particulate matter (PM2.5) levels. The unattributable deaths and the risk factors in the baseline scenario were projected using the proportional change model, assuming constant annual change rates through 2030. The comparative risk assessment theory was used in simulated scenarios to reflect how premature mortality would be affected if the targets for risk factor control were achieved by 2030., Results: The cancer burden in Hunan significantly increased during 2009-2017. If current trends for each risk factor continued to 2030, the total premature deaths from cancers in 2030 would increase to 97,787 in Hunan Province, and the premature mortality (9.74%) would be 44.47% higher than that in 2013 (6.74%). In the combined scenario where all risk factor control targets were achieved, 14.41% of premature cancer mortality among those aged 30-70 years would be avoided compared with the business-as-usual scenario in 2030. Reductions in the prevalence of diabetes, high BMI, ambient PM2.5 levels, and insufficient fruit intake played relatively important roles in decreasing cancer premature mortality. However, the one-third reduction goal would not be achieved for most cancers except gastric cancer., Conclusions: Existing targets on cancer-related risk factors may have important roles in cancer prevention and control. However, they are not sufficient to achieve the one-third reduction goal in premature cancer mortality in Hunan Province. More aggressive risk control targets should be adopted based on local conditions., (©Wenqiong Wu, Jing Wang, Xian-zhen Liao, Kekui Xu, Yanhua Zou, Zhaohui Shi, Yingyun Hu, Haifan Xiao, Can Li, Shiyu Cao, Shiyu Wang, Jia Guo, Zhicheng Luo, Mengjiao Liu, Mengyao Xu, Donghui Jin, Mengshi Chen, Zhongxi Fu, Shipeng Yan. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 06.03.2023.)