The role of microbial partners in heavy metal metabolism in plants: a review.

Heavy metal pollution threatens plant growth and development as well as ecological stability. Here, we synthesize current research on the interplay between plants and their microbial symbionts under heavy metal stress, highlighting the mechanisms employed by microbes to enhance plant tolerance and resilience. Several key strategies such as bioavailability alteration, chelation, detoxification, induced systemic tolerance, horizontal gene transfer, and methylation and demethylation, are examined, alongside the genetic and molecular basis governing these plant-microbe interactions. However, the complexity of plant-microbe interactions, coupled with our limited understanding of the associated mechanisms, presents challenges in their practical application. Thus, this review underscores the necessity of a more detailed understanding of how plants and microbes interact and the importance of using a combined approach from different scientific fields to maximize the benefits of these microbial processes. By advancing our knowledge of plant-microbe synergies in the metabolism of heavy metals, we can develop more effective bioremediation strategies to combat the contamination of soil by heavy metals.

Predictive values of ultrasonic diaphragm thickening fraction combined with integrative weaning index in weaning patients with mechanical ventilation: a retrospective study.

OBJECTIVE: We aimed to explore the predictive values of ultrasonic diaphragm thickening fraction (DTF) combined with integrative weaning index (IWI) in weaning patients with mechanical ventilation. METHODS: Patients with mechanical ventilation who received oral endotracheal intubation from September 2020 to September 2021 were included in this retrospective study. Before the start of the spontaneous breathing test (SBT), IWI was calculated according to the blood gas analysis parameters and parameters read in volume control mode. After the start of SBT, DTF was calculated according to the end-expiratory thickness and end-inspiratory thickness of the right diaphragm. The receiver operating curve (ROC) was used to evaluate the predictive value of DTF and IWI for successful weaning, and the sensitivity and specificity were calculated according to the best critical value. RESULTS: The sensitivity, specificity, and best cutoff value of DTF to predict successful weaning was 0.772, 0.727, and 0.293, respectively, and the area under the curve (AUC) was 0.72 (95%CI 0.59-0.86, p = 0.003). The sensitivity, specificity, and best cutoff value of IWI to predict successful weaning was 0.614, 0.909, 53.00, respectively, and AUC was 0.82 (95%CI 0.72-0.91, p < 0.001). The sensitivity, specificity, and best cutoff value of the combination of DTF and IWI to predict successful weaning was 0.614, 0.909, 17.848, respectively, and AUC was 0.84 (95%CI 0.75-0.93, p < 0.001). CONCLUSION: DTF and IWI can guide the selection of weaning, while DTF combined with IWI can improve the effect of weaning prediction and provide support for patients' weaning safety.

Molecular Mechanism of Berberine in the Treatment of Calcified Aortic Valve Disease Based on AGE-RAGE Signal Pathway.

Objective: We aimed to explore the molecular mechanism of berberine in the treatment of calcified aortic valve disease through the network pharmacology-molecular docking method. Methods: The targets of berberine and calcified aortic valve disease were retrieved, the interactions between the targets were analyzed, Cytoscape software was used to build a "target-path" network, R language was used to conduct enrichment analysis of GO and KEGG pathways, and AutoDock Vina was used to verify the binding force of the target protein and small molecules. Results: 96 targets for berberine and 4293 disease targets were screened through multiple databases, and 56 targets were identified through veen analysis. The enrichment of PPI, GO, and KEGG pathways suggests that berberine may act on PIK3CD, PIK3CB, PIK3R1, MAPK14, MAPK10, and other targets, and regulate the role of calcified aortic valve disease through AGE-RAGE signaling pathway, Chemokine signaling pathway, Lipid and atherosclerosis, and other pathways. The docking results showed that berberine has good binding activity with the target on the key pathway AGE-RAGE signaling pathway. Conclusion: The network pharmacology preliminarily revealed the mechanism of berberine in the treatment of calcified aortic valve disease by regulating vascular calcification, inflammatory reaction, oxidative stress, and other effects, providing the basis for follow-up experimental research, and also providing the basis for clinical medication.

Target Elimination-Denatured and Unstable Proteins, Environmental Toxins, Metabolic Wastes, Immunosuppressive Factors and Chronic Inflammatory Factors of Medical System for Chronic Diseases Prevention and Health Promotion: A Narrative Review.

BACKGROUND: The incidence of chronic diseases, such as cardiovascular disease, diabetes, overweight, obesity, cancer and other diseases has been increasing. It is a huge challenge to public health industry about how to provide risk intervention and preventive medical services and explore advanced technology platform for effective prevention and control of chronic diseases. METHODS: We collaborated domestic and international experts on preventive medicine, and analyzed pathogenesis and risk factors for the major chronic diseases. RESULTS: We established Target Elimination--denatured and unstable proteins, environmental toxins, metabolic wastes, immunosuppressive factors and chronic inflammatory factor (TE-PEMIC) system that offer us the standard and methods to eliminate and intervene pathogenic factors of the chronic diseases. CONCLUSION: It provides new researches and exploring new ideas to prevent and intervene chronic diseases by applying the TE-PEMIC chronic diseases prevention medical technology system.

Application of biological age assessment of Chinese population in potential anti-ageing technology.

BACKGROUND: This study aimed to construct a biological age assessment formula for the Chinese population and to explore the effectiveness of double filtration plasmapheresis for anti-ageing and longevity. METHODS: 915 subjects were recruited, including 584 (63.8%) males and 331 females (36.2%). Male age was 50.94±10.60 (mean±SD), and female age was 51.20±11.84 (mean±SD). 34 blood markers were detected in the laboratory. The ageing biomarkers were determined by statistical correlation analysis and redundancy analysis, and the biological age assessment formula was established by multiple linear regression analysis. Paired sample T test was used to analyse the elimination effect of double filtration plasmapheresis on aging biomarkers. RESULTS: Based on the comprehensive blood test and analysis, the ageing biomarkers were screened, and the male and female biological age assessment formulas were established. Then, the elimination of ageing biomarkers by double filtration plasmapheresis was examined. Double filtration plasmapheresis can eliminate ageing biomarkers, with an average of 4.47 years decrease in age for males and 8.36 years for females. CONCLUSION: So, biological age provides a scientific tool for assessing ageing, and double filtration plasmapheresis is safe and might be effective for anti-ageing and longevity. However, the effect of plasmapheresis is expected to be transient, so further studies are needed to plan the number and range of the plasmapheresis procedures necessary to consistently lower the parameters under study.

Detection and analysis of 12 heavy metals in blood and hair sample from a general population of Pearl River Delta area.

To detect the content of 12 heavy metals in blood and hair sample from a general population of Pearl River Delta area, and to analyze the influence of duration of residence, gender, age, smoking and drinking on the heavy metal content. Use inductively coupled plasma mass spectrometry to detect the content of 12 heavy metals lead (Pb), mercury (Hg), cadmium (Cd), aluminum (Al), arsenic (As), copper (Cu), chrome (Cr), manganese (Mn), nickel (Ni), zinc (Zn), tin (Sn) and antimony (Sb) in blood and hair samples of a total of 50 subjects from a general population, collected by multistage stratified cluster random sampling method. The geometric mean of heavy metal content in blood samples of general population (µg/L): blood aluminum 214.00; blood chrome 92.82; blood manganese 21.43; blood nickel 20.59; blood copper 0.67; blood zinc 11.50; blood arsenic 0.55; blood cadmium 2.45; blood tin 0.00; blood antimony 1.92; blood lead 158.84; and blood mercury 1.19. The geometric mean of heavy metal content in hair samples of general population (µg/g): hair aluminum is 84.65; hair chrome 0.00; hair manganese 2.44; hair nickel 0.61; hair copper 28.49; hair zinc 136.65; hair arsenic 0.75; hair cadmium 0.46; hair tin 1.04; hair antimony 0.05; hair lead 8.97; and hair mercury 0.69. Some heavy metals were correlated with duration of residence, gender, age, smoking and drinking. This was the first time that simultaneously detecting heavy metal content in blood and hair was used to analyze the internal heavy metal burden in resident population of Pearl River Delta area. These data can serve as reference for further research.