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In order to explore the effective method of ecological environment quality evaluation the of environmental pollution treatment of energy consumption emits in industrial parks in China, based on a literature review, 21 evaluation indicators of four types were selected in this paper. With a hierarchical analysis method used to determine the relative weights of each evaluation indicator, and a two-level comprehensive fuzzy evaluation model reconstructed, a comprehensive evaluation study of ecological environment quality was carried out, taking the Nanjing MV Industrial Park as the research object. The evaluation results show that it can be seen that the ecological environment quality of the Nanjing MV Industrial Park has improved in certain degree. The evaluation results are in line with the actual situation, which verifies the validity of the comprehensive fuzzy evaluation model for the comprehensive evaluation of ecological environment quality. The research results have a guiding role for the management practice of environmental pollution in industrial parks and have a significant theoretical support for the government to formulate the ecological environment quality standards and related policies of industrial parks. Graphical Abstract

Background Vascular dementia (VaD) is the second most common type of dementia after Alzheimer’s disease. Previous studies have confirmed a significant correlation between white matter changes and cognitive dysfunction, especially in patients with metabolic syndrome, suggesting that silent vascular risk factors may promote cerebrovascular pathology with advancing age. The Triglyceride-Glucose (TyG) Index, a novel metabolic indicator calculated based on fasting triglyceride and glucose levels, reflects insulin resistance (IR). Methods Our research aimed to analyze data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, using logistic regression analysis and constructing restricted cubic spline (RCS) curves to evaluate the association between the TyG index and VaD in patients with cerebrovascular disease (CVD). Subgroup analyses were performed, but no statistically significant associations were observed within individual strata. Additionally, univariate and multivariate logistic regression analyses were conducted to identify factors associated with VaD. Exploratory analyses were also performed. Results After the implementation of the inclusion criteria, a total of 1,754 patients with CVD were enrolled. Among them, 13.91% were diagnosed with VaD. Logistic regression showed that patients in the highest TyG quartile had significantly higher odds of VaD compared with the lowest quartile (Model 3: OR = 2.315, 95% CI: 1.437–3.776, p  < 0.001). RCS showed a significant linear association ( P  = 0.046). No statistically significant subgroup effects were observed. Exploratory association analyses were performed, but formal validation was not conducted. Conclusion Higher TyG levels were independently associated with increased odds of VaD in patients with CVD after adjusting for potential confounders. Future prospective studies are needed to confirm these associations and explore their clinical implications.

Human gut microbiota is believed to be directly or indirectly involved in cardiovascular diseases and hypertension. However, the identification and functional status of the hypertension-related gut microbe(s) have not yet been surveyed in a comprehensive manner. Here we characterized the gut microbiome in hypertension status by comparing fecal samples of 60 patients with primary hypertension and 60 gender-, age-, and body weight-matched healthy controls based on whole-metagenome shotgun sequencing. Hypertension implicated a remarkable gut dysbiosis with significant reduction in within-sample diversity and shift in microbial composition. Metagenome-wide association study (MGWAS) revealed 53,953 microbial genes that differ in distribution between the patients and healthy controls (false discovery rate, 0.05) and can be grouped into 68 clusters representing bacterial species. Opportunistic pathogenic taxa, such as, spp., spp., and were frequently distributed in hypertensive gut microbiome, whereas the short-chain fatty acid producer, such as, spp. and , were higher in controls. The number of hypertension-associated species also showed stronger correlation to the severity of disease. Functionally, the hypertensive gut microbiome exhibited higher membrane transport, lipopolysaccharide biosynthesis and steroid degradation, while in controls the metabolism of amino acid, cofactors and vitamins was found to be higher. We further provided the microbial markers for disease discrimination and achieved an area under the receiver operator characteristic curve (AUC) of 0.78, demonstrating the potential of gut microbiota in prediction of hypertension. These findings represent specific alterations in microbial diversity, genes, species and functions of the hypertensive gut microbiome. Further studies on the causality relationship between hypertension and gut microbiota will offer new prospects for treating and preventing the hypertension and its associated diseases.

In order to realize the effective measurement of environmental pollution loss (EPL) caused by waste gas emits from energy consumption in industrial parks, it is built a shadow price model of waste gas emits in this study on the basis of literature review and status analysis. The measurement model is applied to Nanjing MV Industrial Park by using relevant statistical data. It is found that the total environmental pollution loss of waste gas emits from energy consumption in Nanjing MV Industrial Park presents a “U” change trend, which first decreases and then increases. In terms of the composition of environmental pollution loss of waste gas emits, environmental pollution loss caused by SO 2 and NO 2 stays high, which are the main components of environmental pollution loss and would be the focus of energy conservation and emission reduction in Nanjing MV Industrial Park in the future. The research results provide an effective quantitative analysis method for local government to measure the environmental pollution loss of waste gas emits from energy consumption in industrial parks and to formulate policies for environmental pollution treatment. Graphical abstract

In order to explore the effective method for the comprehensive evaluation of ecological environment quality of environmental pollution governance in China’s coal mining areas, based on the review of domestic and foreign research literature and the requirements and actual situation of environmental pollution control in China’s coal mining areas, this paper selects four categories of 20 evaluation indicators, including land resource, water resource, air, and sustainable development status. According to the land, surface water, air quality standards, and China’s sustainable development strategy issued by the Chinese government, and drawing on the latest research results at China and the world, taking the Yanzhou Mining in China as an example, the traditional niche model is introduced to reconstruct the spatial niche model for the case evaluation. It is found that the evaluation results of the spatial niche model lie between the evaluation results of the absolute niche model and the relative niche model. According to the evaluation results, during 2010–2018, the quality of land resources, water resources, and sustainable development in Yanzhou Mining has been upgraded from level IV to II, and the air quality has been upgraded from level IV to level III, which is still the focus of improving the ecological environment quality in Yanzhou Mining. The research findings are significant for guiding the Yanzhou Mining to improve the quality of the ecological environment and promote sustainable development. The conclusion of this paper has guiding significance for the improvement of ecological environment quality of other similar coal mining areas and provides empirical support for the government to formulate environmental pollution governance and ecological environment quality policy.

The gut microbiota is believed to be closely related to many important physical functions in the host. Comprehensive data on mammalian gut metagenomes has facilitated research on host-microbiome interaction mechanisms, but less is known about pig gut microbiome, especially the gut microbiome in industrialized feedlot pigs, compared with human microbiome. On the other hand, pig production, as an important source of food, is believed to exacerbate the antibiotic resistance in humans due to the abuse of antibiotics in pig production in various parts of the world. This study delineates an intricate picture of swine gut microbiome and antibiotic resistome in industrialized feedlots and may provide insight for the pig producing industry. To characterize the diversity and richness and explore the function and structure of swine gut microbiome and resistome in common pig-farming feedlots, we sampled and metagenomic sequenced the feces of pigs from four different industrialized feedlots located in four distant provinces across China. Surprisingly, more than half of the nonredundant genes (1,937,648, 54.3%) in the current catalogue were newly found compared with the previously published reference gene catalogue (RGC) of the pig gut microbiome. Additionally, 16 high-completeness draft genomes were obtained by analyzing the dominant species on each feedlot. Notably, seven of these species often appeared in the human body sites. Despite a smaller number of nonredundant genes, our study identified more antibiotic resistance genes than those available in the RGC. Tetracycline, aminoglycoside, and multidrug resistance genes accounted for nearly 70% of the relative abundance in the current catalogue. Slightly higher sharing ratios were shown between the industrialized feedlot pig gut microbiomes and human gut microbiomes than that between the RGC and human counterpart (14.7% versus 12.6% in genes and 94.1% versus 87.7% in functional groups, respectively). Furthermore, a remarkably high number of the antibiotic resistance proteins ( n =141) were identified to be shared by the pig, human, and mouse resistome, indicating the potential for horizontal transfer of resistance genes. Of the antibiotic resistance proteins shared by pigs and humans, 50 proteins were related to tetracycline resistance, and 49 were related to aminoglycoside resistance. IMPORTANCE The gut microbiota is believed to be closely related to many important physical functions in the host. Comprehensive data on mammalian gut metagenomes has facilitated research on host-microbiome interaction mechanisms, but less is known about pig gut microbiome, especially the gut microbiome in industrialized feedlot pigs, compared with human microbiome. On the other hand, pig production, as an important source of food, is believed to exacerbate the antibiotic resistance in humans due to the abuse of antibiotics in pig production in various parts of the world. This study delineates an intricate picture of swine gut microbiome and antibiotic resistome in industrialized feedlots and may provide insight for the pig producing industry.

bifunctional enzyme GlmU is a novel target for anti-TB drugs and is involved in glycosyl donor UDP-N-acetylglucosamine biosynthesis. Here, we found that TPSA (2-[5-(2-{[4-(2-thienyl)-2-pyrimidinyl]sulfanyl}acetyl)-2-thienyl]acetic acid) was a novel inhibitor for GlmU acetyltransferase activity (IC : 5.3 μM). The interaction sites of GlmU and TPSA by molecular docking were confirmed by site-directed mutagenesis. TPSA showed an inhibitory effect on Mtb H37Ra growth and intracellular H37Ra in macrophage cells (MIC: 66.5 μM). To investigate why TPSA at a higher concentration (66.5 μM) was able to inhibit H37Ra growth, proteome and transcriptome of H37Ra treated with TPSA were analyzed. The expression of two methyltransferases MRA_0565 (Rv0558) and MRA_0567 (Rv0560c) were markedly increased. TPSA was pre-incubated with purified Rv0558 and Rv0560c in the presence of S-adenosylmethionine (methyl donor) respectively, resulting in its decreased inhibitory effect of GlmU on acetyltransferase activity. The inhibition of TPSA on growth of H37Ra with overexpressed Rv0558 and Rv0560c was reduced. These implied that methyltransferases could modify TPSA. The methylation of TPSA catalyzed by Rv0560c was subsequently confirmed by LC-MS. Therefore, TPSA as a GlmU acetyltransferase activity inhibitor may offer a structural basis for new anti-tuberculosis drugs. TPSA needs to be modified further by some groups to prevent its methylation by methyltransferases.

In order to explore the effective evaluation method of environmental pollution treatment effect in China’s coal mine subsidence areas, based on the literature review and analysis of current situation, combined with the reality of environmental pollution treatment (EPT) in China’s coal mine subsidence areas, this paper selected four categories, including a total of 21 evaluation indicators, and drew lessons from the latest research results in relevant fields to construct the spatial niche suitability model of comprehensive evaluation of environmental pollution treatment effect in coal mine subsidence area. Taking the collapse area of Xinglongzhuang coal mine of Yanzhou energy as an example, the comprehensive evaluation and application of environmental pollution treatment effect in coal mine subsidence area were studied. It is found that the environmental pollution treatment effect of the mining area has increased from moderate pollution (level III) in 2012 to mild pollution (level I) in 2020 within 9 years. The environmental pollution treatment effect has a rapid improvement relatively, but its growth rate has decreased year by year since 2016, and the environmental pollution indicator is still at a high level. Therefore, environmental pollution treatment in the subsidence area is still a long-term task of Dongtan coal mine. The research results of this paper provide an effective quantitative analysis method for the evaluation of environmental pollution treatment effect in coal mine subsidence area, which is conducive to the continuous improvement of environmental pollution treatment effect in mining area.

In order to explore practical ways to test the eco-efficiency of low-carbon tourism and its drivers in Jiangsu Province, this paper empirically tests the effects of selected driving variables on the eco-efficiency of low-carbon tourism using a spatial lag model. It measures the eco-efficiency of low-carbon tourism in 13 prefecture-level cities in Jiangsu Province based on a modified two-stage network SBM model. According to the direct effect test results, per capita tourism income ( PTI ) had the most significant effect on the eco-efficiency of low-carbon tourism, with an impact coefficient of 0.5437, environmental pollution governance ( EPG ) had the second most significant effect, energy consumption intensity ( ECI ) and carbon emission intensity ( CEI ) had adverse effects with effect coefficients of − 0.3815 and − 0.4415, respectively, and R&D input intensity ( RDII ) had the slightest effect on the eco-efficiency of low-carbon tourism, with an impact coefficient of – 0.0836. According to indirect effect test results, RDII has the most significant positive effect with a coefficient of 0.3848, PTI has the second most significant adverse effect on the eco-efficiency of low-carbon tourism with a coefficient of − 0.3245, ECI has the third most significant adverse effect with a coefficient of − 0.2567, EPG has the fourth largest positive effect with a coefficient of 0.2162, and CEI has the slightest adverse effect with an impact coefficient of − 0.2147.

ABSTRACT To characterize the diversity and richness and explore the function and structure of swine gut microbiome and resistome in common pig-farming feedlots, we sampled and metagenomic sequenced the feces of pigs from four different industrialized feedlots located in four distant provinces across China. Surprisingly, more than half of the nonredundant genes (1,937,648, 54.3%) in the current catalogue were newly found compared with the previously published reference gene catalogue (RGC) of the pig gut microbiome. Additionally, 16 high-completeness draft genomes were obtained by analyzing the dominant species on each feedlot. Notably, seven of these species often appeared in the human body sites. Despite a smaller number of nonredundant genes, our study identified more antibiotic resistance genes than those available in the RGC. Tetracycline, aminoglycoside, and multidrug resistance genes accounted for nearly 70% of the relative abundance in the current catalogue. Slightly higher sharing ratios were shown between the industrialized feedlot pig gut microbiomes and human gut microbiomes than that between the RGC and human counterpart (14.7% versus 12.6% in genes and 94.1% versus 87.7% in functional groups, respectively). Furthermore, a remarkably high number of the antibiotic resistance proteins (n =141) were identified to be shared by the pig, human, and mouse resistome, indicating the potential for horizontal transfer of resistance genes. Of the antibiotic resistance proteins shared by pigs and humans, 50 proteins were related to tetracycline resistance, and 49 were related to aminoglycoside resistance. IMPORTANCE The gut microbiota is believed to be closely related to many important physical functions in the host. Comprehensive data on mammalian gut metagenomes has facilitated research on host-microbiome interaction mechanisms, but less is known about pig gut microbiome, especially the gut microbiome in industrialized feedlot pigs, compared with human microbiome. On the other hand, pig production, as an important source of food, is believed to exacerbate the antibiotic resistance in humans due to the abuse of antibiotics in pig production in various parts of the world. This study delineates an intricate picture of swine gut microbiome and antibiotic resistome in industrialized feedlots and may provide insight for the pig producing industry.