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The Heishan geothermal area is positioned above the sole Yunnan–Tibet high-temperature geothermal belt, where huge geothermal energy resources are available. Utilizing the characteristics of large exploration depth, extensive coverage, and high precision of the wide-field electromagnetic method, four survey lines were deployed, totaling 29.8 km, to enable a comprehensive analysis of the granite structure and fault distribution. The results indicate that the rocks within the area can be vertically divided into a granite basement and a fractured layer. Moreover, three different zones of resistivity were identified: the granite basement zone has a resistivity range of 2500–20000 Ω m, whereas the compressional shear zone and the secondary fault zone have a resistivity range of 750–2500 Ω m, and the extensional fault zone and the main fault zone have resistivity values below 750 Ω m. The Heishan-Hejian fault and the fault zone formed during its right-lateral strike-slip process, as well as the controlled area of the Qianmaihe fault, are all favorable targets. Of these, the Qianmahe fault possesses a larger-scale heat-conducting and water-controlling structure. In addition, in the secondary fault-controlled area extending to the west, the zone between F2’ and F4 exhibits renewed tectonic activity, suggesting a greater potential for geothermal resources.

Geothermal energy is a renewable energy with large scale and wide distribution. Geothermal resources are abundant in western Yunnan, China, but the work is less. In this study, a wide field electromagnetic method (WFEM) was applied to geothermal exploration in Sanying Basin, and six survey lines were deployed. On the basis of the inversion results, the paper conducts a progressive study on the four genetic factors of geothermal exploration, including “source, storage, channel, and circulation”. The Sanying Basin has three sets of intrusive rock masses, two kinds of lateral and vertical additional heating modes. Two sets of deep and shallow reservoir systems were identified. Two major strike-slip deep faults were identified as heat conduction channels. Two sets of water circulation systems were established, and the formation mechanism of hot springs was clarified. Anomaly 1 is a favorable target area for hydrothermal development, and invasion Ⅱ is a favorable target area for hot dry rock.

Abstract Introduction Surgery is a risk factor for flares in people with gout. However, gout flares after endovascular interventional procedures are not well understood. The aim of this study was to evaluate the clinical features and risk factors for gout flare that develop during the postsurgical period including endovascular procedures. Methods We enrolled 222 patients with gout who developed postsurgical gout and 196 controls who had histories of gout but did not develop gout flares after surgery within 20 days. Clinical characteristics of patients who developed a postsurgical gout flare were compared with the controls. Results The rate of endovascular interventional procedures was higher (38.74% vs. 13.48%, P

Background: Serine hydroxymethyltransferase (SHMT) is a serine-glycine-one-carbon metabolic enzyme in which SHMT1 and SHMT2 encode the cytoplasmic and mitochondrial isoenzymes, respectively. SHMT1 and SHMT2 are key players in cancer metabolic reprogramming, and thus are attractive targets for cancer therapy. However, the role of SHMT in patients with renal cell carcinoma (RCC) has not been fully elucidated. We aimed to systematically analyze the expression, gene regulatory network, prognostic value, and target prediction of SHMT1 and SHMT2 in patients with kidney chromophobe (KICH), kidney renal clear cell carcinoma (KIRC), and kidney renal papillary cell carcinoma (KIRP); elucidate the association between SHMT expression and RCC; and identify potential new targets for clinical RCC treatment. Methods: Several online databases were used for the analysis, including cBioPortal, TRRUST, GeneMANIA, GEPIA, Metascape, UALCAN, LinkedOmics, and TIMER. Results: SHMT1 and SHMT2 transcript levels were significantly down- and upregulated, respectively, in patients with KICH, KIRC, and KIRP, based on sample type, individual cancer stage, sex, and patient age. Compared to men, women with KIRC and KIRP showed significantly up- and downregulated SHMT1 transcript levels, respectively. However, SHMT2 transcript levels were significantly upregulated in the patients mentioned above. KIRC and KIRP patients with high SHMT1 expression had longer survival periods than those with low SHMT1 expression. In patients with KIRC, the findings were similar to those mentioned above. However, in KICH patients, the findings were the opposite regarding SHMT2 expression. SHMT1 versus SHMT2 were altered by 9% versus 3% (n = 66 KICH patients), 4% versus 4% (n = 446 KIRC patients), and 6% versus 7% (n = 280 KIRP patients). SHMT1 versus SHMT2 promoter methylation levels were significantly up- and downregulated in patients with KIRP versus KIRC and KIRP, respectively. SHMT1, SHMT2, and their neighboring genes (NG) formed a complex network of interactions. The molecular functions of SHMT1 and its NG in patients with KICH, KIRC, and KIRP, included clathrin adaptor, metalloendopeptidase, and GTPase regulator activities; lipid binding, active transmembrane transporter activity, and lipid transporter activity; and type I interferon receptor binding, integrin binding, and protein heterodimerization, respectively. Their respective Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were involved in lysosome activity, human immunodeficiency virus 1 infection, and endocytosis; coronavirus disease 2019 and neurodegeneration pathways (multiple diseases); and RIG-I-like receptor signaling pathway, cell cycle, and actin cytoskeleton regulation. The molecular functions of SHMT2 and its NG in patients with KICH, KIRC, and KIRP included cell adhesion molecule binding and phospholipid binding; protein domain-specific binding, enzyme inhibitor activity, and endopeptidase activity; and hormone activity, integrin binding, and protein kinase regulator activity, respectively. For patients with KIRC versus KIRP, the KEGG pathways were involved in cAMP and calcium signaling pathways versus microRNAs (MiRNAs) in cancer cells and neuroactive ligand-receptor interactions, respectively. We identified the key transcription factors of SHMT1 and its NG. Conclusions: SHMT1 and SHMT2 expression levels were different in patients with RCC. SHMT1 and SHMT2 may be potential therapeutic and prognostic biomarkers in these patients. Transcription factor (MYC, STAT1, PPARG, AR, SREBF2, and SP3) and miRNA (miR-17-5P, miR-422, miR-492, miR-137, miR-30A-3P, and miR-493) regulations may be important strategies for RCC treatment.

Immunoglobulin G4-related disease (IgG4-RD) is an immune-mediated fibroinflammatory disease that typically manifests as mass lesions affecting almost any organ including the pancreas, lacrimal and salivary glands, liver, lung and kidney. However, IgG4-RD with urethra involvement is scarce. We describe a rare case of IgG4-RD involving the urethra mimicking urethral carcinoma and review the published literature. A 64-years-old female presented with progressive dysuria for more than 2 months. Pelvic gadolinium-enhanced magnetic resonance imaging revealed a huge mass encasing the urethra which showed obvious enhancement in the arterial phase. And contrast-enhanced ultrasound showed that the entire mass was heterogeneously enhanced and displayed a fast-forward and fast-out pattern, which was highly suggestive of malignant tumor. The diagnosis of IgG4-RD was finally established by ultrasound-guided transvaginal mass needle biopsy. The patient was treated with methylprednisolone and cyclophosphamide and dysuria disappeared in the first week of therapy. She has been followed up in our clinic for 1 year without recurrence. The diagnosis of IgG4-RD should be considered in the differential diagnosis of a periurethral mass. Ultrasound-guided transvaginal mass needle biopsy is a safe and well-established tissue sampling method and should be performed in order to avoid unnecessary surgery.

BackgroundBromodomain and extracellular terminal (BET) family (including BRD2, BRD3, and BRD4) is considered to be a major driver of cancer cell growth and a new target for cancer therapy. Currently, more than 30 targeted inhibitors have shown significant inhibitory effects against various tumors in preclinical and clinical trials. However, the expression levels, gene regulatory networks, prognostic value, and target prediction of BRD2, BRD3, and BRD4 in adrenocortical carcinoma (ACC) have not been fully elucidated. Therefore, this study aimed to systematically analyze the expression, gene regulatory network, prognostic value, and target prediction of BRD2, BRD3, and BRD4 in patients with ACC, and elucidated the association between BET family expression and ACC. We also provided useful information on BRD2, BRD3, and BRD4 and potential new targets for the clinical treatment of ACC.MethodsWe systematically analyzed the expression, prognosis, gene regulatory network, and regulatory targets of BRD2, BRD3, and BRD4 in ACC using multiple online databases, including cBioPortal, TRRUST, GeneMANIA, GEPIA, Metascape, UALCAN, LinkedOmics, and TIMER.ResultsThe expression levels of BRD3 and BRD4 were significantly upregulated in ACC patients at different cancer stages. Moreover, the expression of BRD4 was significantly correlated with the pathological stage of ACC. ACC patients with low BRD2, BRD3, and BRD4 expressions had longer survival than patients with high BRD2, BRD3, and BRD4 expressions. The expression of BRD2, BRD3, and BRD4 was altered by 5%, 5%, and 12% in 75 ACC patients, respectively. The frequency of gene alterations in the 50 most frequently altered BRD2, BRD3, and BRD4 neighboring genes in these ACC patients were ≥25.00%, ≥25.00%, and ≥44.44%, respectively. BRD2, BRD3, and BRD4 and their neighboring genes form a complex network of interactions mainly through co-expression, physical interactions, and shared protein domains. Molecular functions related to BRD2, BRD3, and BRD4 and their neighboring genes mainly include protein-macromolecule adaptor activity, cell adhesion molecule binding, and aromatase activity. Chemokine signaling pathway, thiamine metabolism, and olfactory transduction were found to be enriched as per the KEGG pathway analysis. SP1, NPM1, STAT3, and TP53 are key transcription factors for BRD2, BRD4, and their neighboring genes. MiR-142-3P, miR-484, and miR-519C were the main miRNA targets of BRD2, BRD3, BRD4, and their neighboring genes. We analyzed the mRNA sequencing data from 79 patients with ACC and found that ZSCAN12, DHX16, PRPF4B, EHMT1, CDK5RAP2, POMT1, WIZ, ZNF543, and AKAP8 were the top nine genes whose expression were positively associated with BRD2, BRD3, and BRD4 expression. The expression level of BRD2, BRD3, and BRD4 positively correlated with B cell and dendritic cell infiltration levels. BRD4-targeted drug PFI-1 and (BRD2, BRD3, and BRD4)-targeted drug I-BET-151 may have good inhibitory effects on the SW13 cell line.ConclusionsThe findings of this study provide a partial basis for the role of BRD2, BRD3, and BRD4 in the occurrence and development of ACC. In addition, this study also provides new potential therapeutic targets for ACC, which can serve as a reference for future basic and clinical research.

Background: Depressive disorder is a common affective disorder, also known as depression, which is characterized by sadness, loss of interest, feelings of guilt or low self-worth and poor concentration. As speech is easy to obtain non-offensively with low-cost, many researchers explore the possibility of depression prediction through speech. Adopting speech signals to recognize depression has important practical significance. Aiming at the problem of the complex structure of the deep neural network method used in the recognition of speech depression and the traditional machine learning methods need to manually extract the features and the low recognition rate. Methods: This paper proposes a model that combines residual thinking and attention mechanism. First, depression corpus is designed based on the classic psychological experimental paradigm self-reference effect (SRE), and the speech dataset is labeled; then the attention module is introduced into the residual, and the channel attention is used to learn the features of the channel dimension, the spatial attention feedback the features of the spatial dimension, and the combination of the two to obtain the attention residual unit; finally the stacking unit constructs a speech depression recognition model based on the attention residual network. Results: Experimental results show that compared with traditional machine learning methods, this model obtains better results in the recognition of depression, which can meet the need for actual recognition application of depression. Conclusions: In this study, we not only predict whether person is depressed, but also estimate the severity of depression. In the designed corpus, the depression binary classification of an individual is given based on the severity of depression which is measured using BDI-II scores. Experimental results show that spontaneous speech can obtain better results than automatic speech, and the classification of speech features corresponding to negative questions is better than other tasks under negative emotions. Besides, the recognition accuracy rate of both male and female subjects is higher than that under other emotions.

Numerous studies have demonstrated that gut microbiota is essential for the host’s health because it regulates the host’s metabolism, endocrine, and immune systems. In recent years, increasing evidence has shown that gut microbiota plays a role in the onset and progression of gout. Changes in the composition and metabolism of the gut microbiota, result in abnormalities of uric acid degradation, increasing uric acid generation, releasing pro-inflammatory mediators, and intestinal barrier damage in developing gout. As a result, gout therapy that targets gut microbiota has drawn significant interest. This review summarized how the gut microbiota contributes to the pathophysiology of gout and how gout affects the gut microbiota. Additionally, this study explained how gut microbiota might serve as a unique index for the diagnosis of gout and how conventional gout treatment medicines interact with it. Finally, prospective therapeutic approaches focusing on gut microbiota for the prevention and treatment of gout were highlighted, which may represent a future avenue in gout treatment.

Background: Pyrroline-5-carboxylate reductase (PYCR) includes three human genes encoding three isozymes, PYCR1, PYCR2, and PYCR3 (or PYCRL), which facilitate the final step in the conversion of glutamine to proline. These genes play important roles in regulating the cell cycle and redox homeostasis as well as promoting growth signaling pathways. Proline is abnormally upregulated in a variety of cancers, and as the last key enzyme in proline production, PYCR plays an integral role in promoting tumorigenesis and cancer progression. However, its role in patients with kidney renal papillary cell carcinoma (KIRP) has not been fully elucidated. In this study, we aimed to systematically analyze the expression, gene regulatory network, prognostic value, and target prediction of PYCR in patients with KIRP, elucidate the association between PYCR expression and KIRP, and identify potential new targets for the clinical treatment of KIRP. Methods: We systematically analyzed the expression, prognosis, gene regulatory network, and regulatory targets of PYCR1, PYCR2, and PYCRL in KIRP using multiple online databases including cBioPortal, STRING, MethSurv, GeneMANIA, Gene Expression Profiling Interactive Analysis (GEPIA), Metascape, UALCAN, LinkedOmics, and TIMER. Results: The expression levels of PYCR1, PYCR2, and PYCRL were considerably upregulated in patients with KIRP based on sample type, sex, age, and individual cancer stage. PYCR1 and PYCR2 transcript levels were markedly upregulated in females than in males, and patients aged 21–40 years had higher PYCR1 and PYCR2 transcript levels than those in other age groups. Interestingly, PYCR2 transcript levels gradually decreased with age. In addition, the expressions of PYCR1 and PYCR2 were notably correlated with the pathological stage of KIRP. Patients with KIRP with low PYCR1 and PYCR2 expression had longer survival than those with high PYCR1 and PYCR2 expression. PYCR1, PYCR2, and PYCRL were altered by 4%, 7%, and 6%, respectively, in 280 patients with KIRP. The methylation levels of cytosine-phosphate-guanine (CpG) sites in PYCR were markedly correlated with the prognosis of patients with KIRP. PYCR1, PYCR2, PYCRL, and their neighboring genes form a complex network of interactions. The molecular functions of the genes, as demonstrated by their corresponding Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, included calcium channel activity, phospholipid binding, RNA polymerase II-specificity, and kinase and GTPase-regulatory activities. PYCR1, PYCR2, and PYCRL targeted miR-21, miR-221, and miR-222, resulting in a better prognosis of KIRP. We analyzed mRNA sequencing data from 290 patients with KIRP and found that ADA, NPM3, and TKT were positively associated with PYCR1 expression; PFDN2, JTB, and HAX1 were positively correlated with PYCR2 expression; SHARPIN, YDJC, and NUBP2 were positively correlated with PYCRL expression; PYCR1 was positively correlated with B cell and CD8+ T-cell infiltration levels; macrophage infiltration was negatively correlated with PYCR2 expression; and PYCRL expression was negatively correlated with B-cell, CD8+ T cell, and dendritic cell infiltration levels. Conclusions: PYCR1, PYCR2, and PYCRL may be potential therapeutic and prognostic biomarkers for patients with KIRP. The regulation of microRNAs (miRNAs), including miR-21, miR-221, and miR-222, may prove an important strategy for KIRP treatment.

The effects of the electrochemical oxygen reduction reaction (ORR) on the surface of single-phase perovskite cathodes are well understood, but its potential for use in a complex system consisting of different material types is unexplored. Herein, we report how BaCO3 nanoparticles-modified La0.6Sr0.4Co0.2Fe0.8O3-δ-Gd0.2Ce0.8O2-δ (LSCF–GDC)-composite cathodes improved the electrochemical oxygen reduction kinetics for high-performing ceramic fuel cells. Both X-ray diffraction (XRD) and thermogravimetric analysis (TGA) studies reveal that BaCO3 is stable, and that it does not show any solid-state reaction with LSCF–GDC at SOFCs’ required operating temperature. The electrochemical conductivity relaxation (ECR) study reveals that during the infiltration of BaCO3 nanoparticles into LSCF–GDC, the surface exchange kinetics (Kchem) are enhanced up to a factor of 26.73. The maximum power density of the NiO-YSZ anode-support cell is increased from 1.08 to 1.48 W/cm2 via surface modification at 750 °C. The modified cathode also shows an ultralow polarization resistance (Rp) of 0.027 Ω.cm2, which is ~4.4 times lower than that of the bare cathode (~0.12 Ω.cm2) at 750 °C. Such enhancement can be attributed to the accelerated oxygen surface exchange process, possibly through promoting the dissociation of oxygen molecules via the infiltration of BaCO3 nanoparticles. The density functional theory (DFT) illustrates the interaction mechanism between oxygen molecules and the BaCO3 surface.

Bergenin is a C-glucoside of 4-O-methyl gallic acid isolated from several medicinal plants and has multiple biological activities. The aim of this study was to assess the potential usefulness of bergenin in hyperuricemia. We found that bergenin reduced serum urate levels in hyperuricemia mice by promoting renal and gut uric acid excretion. Bergenin treatment increased Abcg2 expression both in the kidneys and intestine, while the expression of Slc2a9 was suppressed in the kidney and increased in the intestine. Moreover, bergenin induced ABCG2 expression in HK-2 and Caco-2 cells, as well as SLC2A9 in Caco-2 cells, via the activation of PPARγ. Nevertheless, bergenin suppressed SLC2A9 expression in HK-2 cells by inhibiting the nuclear translocation of p53. Furthermore, bergenin decreased the serum levels of IL-6, IL-1β, and TNF-α in hyperuricemia mice, and promoted a polarization shift from the M1 to M2 phenotype in RAW264.7 cells. In conclusion, these findings provide evidence supporting the further development of bergenin as a novel therapeutic strategy for hyperuricemia.

Abstract Background In addition to the kidney, the intestine is one of the most important organs involved in uric acid excretion. However, the mechanism of urate excretion in the intestine remains unclear. Therefore, the relationship between soluble uric acid and the gut excretion in human intestinal cells was explored. The relevant signaling molecules were then also examined. Methods HT-29 and Caco-2 cell lines were stimulated with soluble uric acid. Western blotting and qRT-PCR were used to measure protein and mRNA levels. Subcellular fractionation methods and immunofluorescence were used to quantify the proteins in different subcellular compartments. Flow cytometry experiments examined the function of ATP-binding cassette transporter, subfamily G, member 2 (ABCG2). Small interfering RNA transfection was used to assess the interaction between ABCG2 and PDZ domain-containing 1 (PDZK1). Results Soluble uric acid increased the expression of PDZK1 and ABCG2. The stimulation of soluble uric acid also facilitated the translocation of ABCG2 from the intracellular compartment to the plasma membrane and increased its transport activity. Moreover, the upregulation of PDZK1 and ABCG2 by soluble uric acid was partially decreased by either TLR4-NLRP3 inflammasome inhibitors or PI3K/Akt signaling inhibitors. Furthermore, PDZK1 knockdown significantly inhibited the expression and transport activity of ABCG2 regardless of the activation by soluble uric acid, demonstrating a pivotal role for PDZK1 in the regulation of ABCG2. Conclusions These findings suggest that urate upregulates the expression of PDZK1 and ABCG2 for excretion in intestinal cells via activating the TLR4-NLRP3 inflammasome and PI3K/Akt signaling pathway.

An environmentally friendly method was proposed to prepare mesoporous Mobil Composition of Matter No.48 (MCM-48) using fly ash as the silica source. Silver nanoparticles were infiltrated on MCM-48 facilely by an in situ post-reduction method and evaluated as an effective catalyst for CO oxidation. The as-prepared MCM-48 and Ag/MCM-48 nanoparticles were characterized by XRD, N2 adsorption/desorption, and TEM. Investigations by means of XPS for Ag/MCM-48 were performed in order to illuminate the surface composition of the samples. Studies revealed the strong influence of the loading of Ag nanoparticles on catalysts in the oxidation of CO. CO conversion values for Ag/MCM-48 of 10% and 100% were achieved at temperatures of 220 °C and 270 °C, respectively, indicating that the Ag-decorated MCM-48 catalyst is extremely active for CO oxidation.

Gated molecular encapsulations, with baskets of type 1, are postulated to occur by the mechanism in which solvent molecule penetrates the inner space of 1, through one of its apertures, while the residing guest simultaneously departs the cavity. In the transition state of the exchange, three pyridine-based gates are proposed to assume an open position with both incoming solvent and departing guest molecules interacting with the concave surface of the host. The More O’Ferrall-Jencks diagram and linear free energy relationships (LFERs) suggest a more advanced departure of the guest when bigger solvents partake in the displacement.