Waste Lithium Ion Battery Evolves into Heteroatom Doped Carbon as Oxygen Reduction Electrocatalyst for Aqueous Al-Air Batteries.

Carbon based electrocatalysts prepared by recycling waste power batteries can not only realize the new utilization of waste energy materials, but also obtain cheap and efficient oxygen reduction electrocatalyst for metal-air battery. Based on the cathode carbon of waste LiFePO4 batteries, nitrogen doped carbon based catalyst NC-1000 is prepared by simple pyrolysis, acid dissolution of LiFePO4 and high temperature heteroatom doping. The catalyst is characterized by scanning electron microscope, transmission electron microscope and Raman spectrum, and the electrochemical performances of the catalyst and Al-air battery were tested. The results show that carbon based electrocatalyst NC-1000 is rich in structural defects and embedded with trace metal oxides. Compared with commercial 20 wt% Pt/C, it has higher electrocatalytic activity and faster kinetic with a half-wave potential of 0.828 V vs. RHE and the Tafel slope of 70.7 mV dec-1 . In addition, assembled into Al-air battery, the open circuit potential can reach 1.57 V along with the high power density of 141 mW cm-2 at 200 mA cm-2 . The discharge specific capacity at higher current of up to 100 mA cm-2 is even better than the commercial Pt/C. This study can not only improve the economic value of waste power batteries, but also obtain high-performance ORR electrocatalyst, which will greatly promote the commercial development of Al-air batteries.

Risk factors for kidney stone disease recurrence: a comprehensive meta-analysis.

BACKGROUND: Kidney stone disease (KSD) is a common illness that causes an economic burden globally. It is easy for patients to relapse once they have suffered from this disease. The reported recurrence rate of KSD ranged from 6.1% to 66.9%. We performed this meta-analysis to identify various potential risk factors for the recurrence of KSD. METHODS: The PubMed, Embase and Web of Science databases were searched using suitable keywords from inception to Mar 2022. A total of 2,663 records were collected initially. After screening the literature according to the inclusion and exclusion criteria, 53 articles (40 retrospective studies; 13 prospective studies) including 488,130 patients were enrolled. The study protocol was registered with PROSPERO (No. CRD42020171771). RESULTS: The pooled results indicated that 12 risk factors including younger age (n = 18), higher BMI (n = 16), family history of kidney stones (n = 12), personal history of kidney stones (n = 11), hypertension (n = 5), uric acid stone (n = 4), race of Caucasian (n = 3), suspected kidney stone episode before the first confirmed stone episode (n = 3), surgery (n = 3), any concurrent asymptomatic (nonobstructing) stone (n = 2), pelvic or lower pole kidney stone (n = 2), and 24 h urine test completion (n = 2) were identified to be associated with KSD recurrence. In the subgroup analysis, patients with higher BMI (OR = 1.062), personal history of nephrolithiasis (OR = 1.402), or surgery (OR = 3.178) had a higher risk of radiographic KSD recurrence. CONCLUSIONS: We identified 12 risk factors related to the recurrence of KSD. The results of this analysis could serve to construct recurrence prediction models. It could also supply a basis for preventing the recurrence of KSD.

A novel prognostic model based on immunogenomics for clear cell renal cell carcinoma.

BACKGROUND: Immune cell infiltration into tumor tissue is closely related to the clinical outcomes of patients with clear cell renal cell carcinoma (ccRCC). This study aimed to screen out potential immune genes associated with ccRCC, analyze their relationships with clinical outcomes, and construct a signature to predict ccRCC. METHODS: The transcriptome RNA-sequencing data in 539 ccRCC and 72 adjacent normal tissues were obtained from TCGA database. Biomedical computational algorithms were conducted to identify immune-related differential expressed genes (IRDGs) and enriched pathways. Then, LASSO Cox and multivariate Cox analyses were performed to screen out genes that were then used to construct the prognostic model. RESULTS: A total of 116 down-regulated and 565 up-regulated IRDGs were identified. Pathway enrichment analysis suggested that IRDGs was mainly enriched in the pathway of "cytokines and cytokine receptors". The entire data of ccRCC were randomly divided into the training set and the test set with a ratio of 1:1. A 4-gene signature was then constructed using LASSO Cox analysis and multivariate Cox analysis in the training set. This prognostic signature could stratify patients into high- and low-risk groups successfully, and serve as an independent predictor when adjusted with clinical factors by univariate and multivariate Cox regression analysis. These results were verified in the test set and the entire set. Besides, the abundance of CD4 + T cells and dendritic cells increased in the high-risk group. Finally, we built a nomogram incorporating risk score and clinical factors to predict the overall survival of ccRCC patients. CONCLUSIONS: These findings may contribute to the research of ccRCC in immunization part.

Upregulated immune checkpoint HHLA2 in clear cell renal cell carcinoma: a novel prognostic biomarker and potential therapeutic target.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is a malignant urogenital cancer with high mortality; however, current progress in understanding its molecular mechanism and predicting clinical treatment outcome is limited. Therefore, this study is to evaluate the clinical significance of immune inhibitory molecular human endogenous retrovirus-H long terminal repeat-associating protein 2 (HHLA2) in ccRCC prognosis and transcriptional regulatory network. METHODS: Expression of HHLA2 in ccRCC was examined by an online database platform ONCOMINE. The ONCOMINE result was independently validated by qRT-PCR and immunohistochemistry. Kaplan-Meier survival was generated using IBM SPSS Statistics V.22. ccRCC tissues cells with high HHLA2 were sorted and subjected to microarray transcriptional profiling and analysis. RESULTS: It was shown that expression of HHLA2 was statistically significantly increased in ccRCC tissues compared with normal renal tissues at both transcriptional and protein level. Moreover, the expression of HHLA2 was closely correlated with multiple clinicopathological features including tumour size, clinical stage and histological grade. High HHLA2 expression was associated with poor overall survival and clinical outcome. Comprehensive microarray analysis further identified thousands of HHLA2 targets including mRNA, long non-coding RNA and circular RNA that might function in various biological processes, especially, immune response. CONCLUSION: Increased HHLA2 expression was observed in ccRCC tumour tissue, which leads to a remarkable shorter overall survival and poorer prognosis. Together with other molecular evidence, we have demonstrated that HHLA2 could be a potential prognostic biomarker for ccRCC.

Fine Mapping and Candidate Gene Analysis of the Tiller Suppression Gene ts1 in Rice.

Tiller number is one of the key factors that influences rice plant type and yield components. In this study, an EMS-induced rice tiller suppression mutant ts1 was characterized. Morphological and histological observations revealed that, in the ts1 plants, the tiller buds were abnormally formed and therefore cannot outgrow into tillers. With an F2 population derived from a cross between ts1 and an indica cultivar Wushansimiao, a major gene, tiller suppression 1 (ts1) was fine-mapped to a 108.5 kb genomic region between markers ID8378 and SSR6884 on the short arm of rice chromosome 2. Candidate gene analysis identified nineteen putative genes. Among them, ORF4 (LOC_Os02g01610) is a PPR gene which harbored a point mutation c.+733/C→T in ts1 mutant plants. A co-dominant SNP marker cd-733C/T was subsequently developed and the SNP assay demonstrated that the point mutation co-segregated with tiller suppression phenotype. Quantitative RT-PCR analysis showed that the expression level of ORF4 in ts1 plants was significantly lower than that in their wild plants, and the expression of rice tillering regulators MOC1 and HTD1 was also significantly decreased in ts1 plants. Our data indicated that ORF4 was a strong candidate gene for ts1 and ts1 might play a role in regulating rice tillering through MOC1 and HTD1 associated pathway. The results above provide a basis for further functional characterization of ts1 and will shed light on molecular mechanism of rice tillering. The informative SNP marker cd-733C/T will facilitate marker-assisted selection of ts1 in rice plant type breeding.