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Coal spontaneous combustion causes both human casualties and environmental pollution. Owing to special flow behaviors, foam materials used in fire-fighting technology can effectively bring water and solid non-combustible substances into the fire-fighting area, greatly preventing spontaneous combustion. This paper systematically elucidates three foam materials, three-phase foam, gel foam and curing foam, and analyzes their physical and chemical inhibition mechanisms on coal spontaneous combustion. In particular, the preparation, performance and latest chemical modification methods of the foam materials are summarized in detail. It is found that foam materials with environmental friendliness, economy and excellent anti-fire performance need to be consistently explored. The primary application areas for cement-based foamed materials remain the building materials and civil engineering industries, and their modification should be studied accordingly based on the specific application context. Furthermore, a new component of foam materials, coal gasification slag (a solid waste), is proposed. In addition, the seepage properties of fire-fighting foam in porous media should be fully studied to accurately grasp the dispersion of foam materials in mine goafs. This review provides new insights and guidance for the development of fire-fighting foam materials.

Background Although hormesis induced by heavy metals is a well-known phenomenon, the involved biological mechanisms are not fully understood. Cadmium (Cd) is a prevalent heavy metal in the environment. Exposure of Cd, via intake or consumption of Cd-contaminated air or food, poses a huge threat to human health. Chinese cabbage pakchoi ( Brassica chinensis L.) is widely planted and consumed as a popular vegetable in China. Therefore, studying the response of Chinese cabbage pakchoi to Cd- stressed conditions is critical to assess whether cabbage can accumulate Cd and serve as an important Cd exposure pathway to human beings. In this study, we investigated the influence of Cd stress on growth, photosynthetic physiology, antioxidant enzyme activities, nutritional quality, anatomical structure, and canopy temperature in Chinese cabbage pakchoi. A partial least squares (PLS) model was used to quantify the relationship between physical and chemical indicators with Cd accumulation in cabbage, and identify the main controlling factors. Results Results showed that Cd stress significantly inhibited cabbage’s growth and development. When Cd stress was increased, the phenotypic indicators were significantly reduced. Meanwhile, Cd stress significantly enhanced the oxidative stress response of cabbage, such as the activities of catalase (CAT), superoxide dismutase (SOD), peroxidase (POD), ascorbate peroxidase (APX), and the content of malondialdehyde (MDA) in leaves. Such a change tended to increase fenestrated tissues’ thickness but decrease the thickness of leaf and spongy tissues. Moreover, Cd stress significantly increased soluble sugar, protein, and vitamin C contents in leaves as well as the temperature in the plant canopy. The PLS model analysis showed that the studied phenotypic and physicochemical indicators had good relationships with Cd accumulation in roots, shoots, and the whole plant of cabbage, with high coefficient of determination (R 2 ) values of 0.891, 0.811, and 0.845, and low relative percent deviation (RPD) values of 3.052, 2.317, and 2.557, respectively. Furthermore, through analyzing each parameter’s variable importance for projection (VIP) value, the SOD activity was identified as a key factor for indicating Cd accumulation in cabbage. Meanwhile, the effects of CAT on Cd accumulation in cabbage and the canopy mean temperature were also high. Conclusion Cd stress has significant inhibitory effects and can cause damage cabbage’s growth and development, and the SOD activity may serve as a key factor to indicate Cd uptake and accumulation in cabbage.

Background Kinases play critical role in clear-cell renal cell carcinoma (ccRCC). We aim to exploit novel kinase that is both protumorigenic and drugable in ccRCC. Methods Reproduction of public datasets with validation using microarray was performed to identify candidate gene. Functionality was studied using multi-omics with validation in vitro and in vivo. Results 6-Phosphofructo-2-Kinase/Fructose-2,6-Biphosphatase 4 (PFKFB4) was differentially expressed showing significantly higher expression in tumor than in normal kidney. PFKFB4 overexpression was associated with advanced tumor grade, stage and worsened prognosis. PFKFB4-knockdown significantly impaired fitness in cell proliferation, migration and wound healing. Despite being recurrently deleted on 3p, PFKFN4 mRNA remained actively transcribed by HIF1α. Metabolomics showed overexpressed PFKFB4 showed enriched metabolites in pentose phosphate pathway (PPP). Phosphoproteomics and immunoprecipitation showed PFKFB4 also phosphorylated NCOA3 which interacted with FBP1 to counteract overactive PPP flux, forming a regulatory loop. PFKFB4-knockdown overcame resistance to Sunitinib in vitro and in vivo both in xenograft and tail-vein injection murine models. Conclusion We concluded PFKFB4 was associated with PPP activity and the fine-tuning of which was mediated by its phosphorylation of NCOA3. Targeting PFKFB4 held promise to combat resistance to Sunitinib.

Renal cell carcinoma (RCC) is a common cancer of the urinary system. The potential therapeutic effects of certain natural products against renal cell carcinoma have been reported both in vivo and in vitro, but no reviews have been published classifying and summarizing the mechanisms of action of various natural products. In this study, we used PubMed and Google Scholar to collect and screen the recent literature on natural products with anti-renal-cancer effects. The main mechanisms of action of these products include the induction of apoptosis, inhibition of angiogenesis, inhibition of metastasis and reduction of drug resistance. In total, we examined more than 30 natural products, which include kahweol acetate, honokiol, englerin A and epigallocatechin-3-gallate, among others, have demonstrated a variety of anti-renal-cancer effects. In conclusion, natural products may have a wider application in kidney cancer than previously believed and are potential candidates for treatment in RCC.

In order to characterize the mechanical behaviors of deep rock mass in complex geological environments, a statistical damage constitutive model was established according to the element combination method. In this model, the effects of pre-static loads and frequent dynamic disturbance on the mechanical and statistical parameters of rock were considered and a new function was introduced to deduce the damage evolution equation. This model was then verified against relevant test and literature data. The results show that the damage evolution rate curve gradually moves to the right along the strain axis and the peak value of the curve decreases first and then increases with the increase of parameter k related to the disturbance number. When k is large, the damage evolution rate curve appears a 'platform'. This platform may correspond to the stable development stage of damage. Besides, pre-static loads can improve the impact resistance of rock. The energy release in the rebound stage under pre-static loads is higher than that without pre-static loads when the disturbance number is constant. The energy release and impact resistance of rock decrease with the increase of disturbance number if the pre-static loads remain unchanged. The proposed model can better describe the mechanical properties and stress–strain behaviors of rock under the combination of pre-static loads and frequent dynamic disturbance. For the rebound type curve, its predictions are very consistent with test data in the pre-peak stage; For the strain-softening type curve, it does not only well with test data in the pre-peak stage but also has high fitting accuracy in the post-peak stage. This study can provide beneficial reference for the evaluation of the safety and stability of deep rock engineering.

Arborinine is a natural product isolated from Globigerina parva (G. parva) leaf extract that shows strong anticancer activity with its role in clear-cell renal cell carcinoma (ccRCC) unreported.BackgroundArborinine is a natural product isolated from Globigerina parva (G. parva) leaf extract that shows strong anticancer activity with its role in clear-cell renal cell carcinoma (ccRCC) unreported.We aim to evaluate the role of Arborinine in ccRCC.ObjectiveWe aim to evaluate the role of Arborinine in ccRCC.Arborinine was tested for its effects in ccRCC cell lines in vitro and in silico.DesignArborinine was tested for its effects in ccRCC cell lines in vitro and in silico.Arborinine conferred inhibitory effect to ccRCC cells at reasonable doses. Arborinine showed inhibitory effects on Lysine Demethylase 1A (KDM1A) in ccRCC cells and decreased levels of KDM1A outputs and on epithelial mesenchymal transition (EMT) markers. Arborinine significantly inhibited proliferation, apoptosis, and cell cycle progression and migration of ccRCC cells. Using in silico ChIP analysis and luciferase activity validation, we identified Ubiquitin-conjugating enzyme E2O (UBE2O) as an active transcription target downstream of KDM1A. UBE2O expression was not only correlated with KDM1A expression but also associated with worsened prognosis in ccRCC. Overexpression of UBE2O abrogated cancer-inhibitory effect of Arborinine.ResultsArborinine conferred inhibitory effect to ccRCC cells at reasonable doses. Arborinine showed inhibitory effects on Lysine Demethylase 1A (KDM1A) in ccRCC cells and decreased levels of KDM1A outputs and on epithelial mesenchymal transition (EMT) markers. Arborinine significantly inhibited proliferation, apoptosis, and cell cycle progression and migration of ccRCC cells. Using in silico ChIP analysis and luciferase activity validation, we identified Ubiquitin-conjugating enzyme E2O (UBE2O) as an active transcription target downstream of KDM1A. UBE2O expression was not only correlated with KDM1A expression but also associated with worsened prognosis in ccRCC. Overexpression of UBE2O abrogated cancer-inhibitory effect of Arborinine.Arborinine holds promise as an additive in the treatment of ccRCC.DiscussionArborinine holds promise as an additive in the treatment of ccRCC.We have shown for the first time that Arborinine showed inhibitory effect on ccRCC via KDM1A/UBE2O signaling.ConclusionsWe have shown for the first time that Arborinine showed inhibitory effect on ccRCC via KDM1A/UBE2O signaling.

: Sunitinib remains the frontline treatment for metastatic clear-cell renal cell carcinoma (ccRCC). Drug resistance is inevitable and related mechanism warrant insightful elaboration. : data mining of GEO and TCGA datasets was performed to identify potential target micro-RNA. and studies were performed to validate findings. : Reproduction of GEO datasets revealed miR-15b significantly upregulated in sunitinib- resistant ccRCC. Five out of seven ccRCC cell lines demonstrated significantly overexpressed miR-15b after sunitinib treatment. Vector-mediated overexpression of miR-15b significantly induced resistance to sunitinib in ccRCC cells. Overexpression of miR-15b significantly induced less population in G1 phase of cell cycle and less apoptosis in cells treated sunitinib. Expression of genes negatively correlated with miR-15b in TCGA ccRCC (KIRC) dataset were cross-referenced with predicted targets of miR-15b and CCNC was selected as potential target for resistance mediation. Overexpression of miR-15b suppressed CCNC expression and protein (Cyclin C) levels. Cyclin C-associated proteins CDK19 and CDK8 were also suppressed following miR-15b overexpression. Silencing of CCNC mimicked overexpression of miR-25 inducing cell cycle progression passing G1 phase and less apoptosis in ccRCC cells treated by sunitinib. Overexpression of miR-15b also counteracted suppression of migration and colony formation by sunitinib in ccRCC cell lines. mouse xenograft models showed recovered tumor growth with miR-15b expression in mice treated with sunitinib. : We here show miR-15b as a possible culprit for sunitinib resistance in ccRCC. Targeting miR-15b could potentially overcome drug resistance and related mechanism warrants further investigation.

Microalgal biomass is an emerging source of renewable energy and health-related compounds. However, harvesting of microalgae is a techno-economic hinder. In this research, chitosan and polyacrylamide were optimized harvesting condition for Chlorella vulgaris . Stirring at 300 rpm for 2 min is optimum for chitosan and polyacrylamide. Low-dose (10 mg/L) chitosan (flocculation efficiency (FE), 98.10 ± 1.06%) is more efficient than high-dose (25 mg/L) polyacrylamide (FE 94.57 ± 0.55%) for harvesting C. vulgaris . Chitosan resulted flocs settled more quickly than polyacrylamide, while polyacrylamide keep > 90% FE in a wider pH range (7–10) than chitosan (7–8). Chitosan and polyacrylamide both have no negative effect on biomass composition, including protein, carbohydrate, and carotenoid. C. vulgaris in flocs could successfully regrow in fresh culture media. The residual culture media was recycled with little impact on cell growth. All the results suggested that chitosan and polyacrylamide could harvest high-quality microalgal biomass.

Background Lactic acid bacteria (LAB) produce various bioactive secondary metabolites (SMs), which endow LAB with a protective role for the host. However, the biosynthetic potentials of LAB-derived SMs remain elusive, particularly in their diversity, abundance, and distribution in the human microbiome. Thus, it is still unknown to what extent LAB-derived SMs are involved in microbiome homeostasis. Results Here, we systematically investigate the biosynthetic potential of LAB from 31,977 LAB genomes, identifying 130,051 secondary metabolite biosynthetic gene clusters (BGCs) of 2,849 gene cluster families (GCFs). Most of these GCFs are species-specific or even strain-specific and uncharacterized yet. Analyzing 748 human-associated metagenomes, we gain an insight into the profile of LAB BGCs, which are highly diverse and niche-specific in the human microbiome. We discover that most LAB BGCs may encode bacteriocins with pervasive antagonistic activities predicted by machine learning models, potentially playing protective roles in the human microbiome. Class II bacteriocins, one of the most abundant and diverse LAB SMs, are particularly enriched and predominant in the vaginal microbiome. We utilized metagenomic and metatranscriptomic analyses to guide our discovery of functional class II bacteriocins. Our findings suggest that these antibacterial bacteriocins have the potential to regulate microbial communities in the vagina, thereby contributing to the maintenance of microbiome homeostasis. Conclusions Our study systematically investigates LAB biosynthetic potential and their profiles in the human microbiome, linking them to the antagonistic contributions to microbiome homeostasis via omics analysis. These discoveries of the diverse and prevalent antagonistic SMs are expected to stimulate the mechanism study of LAB’s protective roles for the microbiome and host, highlighting the potential of LAB and their bacteriocins as therapeutic alternatives. 8_7CeAPhTV4ATvmw_spSpE Video Abstract