Since limited energy density and intrinsic safety issues of commercial lithium-ion batteries (LIBs), solid-state batteries (SSBs) are promising candidates for next-generation energy storage systems. However, their practical applications are restricted by interfacial issues and kinetic problems, which result in energy density decay and safety failure. This review discusses the formation mechanisms of these issues from the perspective of typical solid-state electrolytes (SSEs) and provides an overview of recent advanced anode engineering for SSBs based on representative anodes including Li metal, graphite-based, and Si-based anodes, summarizing the advantages and problems of each strategy. The development of the anode-free batteries concept is demonstrated as well. Finally, recommendations are proposed for the potential directions in future research in anode engineering for SSBs.

Introduction: Migraine is a neurovascular disorder that affects the quality of life of more than 1 billion people worldwide. Repetitive transcranial magnetic stimulation (rTMS) is a neuromodulation tool that uses pulsed magnetic fields to modulate the cerebral cortex. This meta-analysis ascertained the therapeutic or preventive effect of rTMS on chronic migraine.Methods: We performed a database search of PubMed, Web of Science, Embase, and the Cochrane Library from January 2004 to December 2021. Eligible studies included randomized controlled studies of the analgesic effects of rTMS in patients with chronic migraine.Results: Eight studies were included. Random effects analysis showed an effect size of −1.13 [95% confidence interval (CI): −1.69 to −0.58] on the frequency of migraine attacks, indicating that rTMS was more effective for decreasing migraine attacks than the sham rTMS.Conclusions: The meta-analysis revealed that rTMS is an effective approach for reducing migraine attack when the dorsolateral prefrontal cortex was stimulated. However, rTMS may not be suggested as a method to reduce the pain level.Systematic review registration: http://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42021228344.

To investigate the potential effects of pure total flavonoid compounds (PTFCs) from Citrus paradisi Macfadyen separately or combined with arsenic trioxide

Aplastic anemia (AA) is a disease of bone marrow hematopoietic failure, and the main clinical manifestation is pancytopenia. Its pathogenesis is still unclear. In recent years, more research has been done on its immune abnormalities to explain its pathogenesis and less on the hematopoietic microenvironment, but there are still some advances. This article summarizes the research on the hematopoietic microenvironment of AA in recent years to provide new ideas for the clinical treatment of AA.

Background: Limited data were available to understand the significance of ferroptosis in leukemia prognosis, regardless of the genomic background. Methods: RNA-seq data from 151 AML patients were analyzed from The Cancer Genome Atlas (TCGA) database, along with 70 healthy samples from the Genotype-Tissue Expression (GTEx) database. Ferroptosis-related genes (FRGs) features were constructed by multivariate COX regression analysis and risk scores were calculated for each sample and a novel prediction model was identified. The validation was carried out using data from 35 AML patients and 13 healthy controls in our cohort. Drug sensitivity analysis was conducted on various chemotherapeutic drugs. Results: A signature of 10 FRGs was identified, as prognostic predictors for AML, and the risk scores were calculated to constructed the prognostic features of FRGs. Significantly lower overall survival was observed in the high-risk group. The predictive ability of these features for AML prognosis was confirmed using Cox regression analysis, ROC curves, and DCA. The prediction model performed well in our clinical practices, and had its potential superiority when comparing to classical NCCN risk stratification. Multiple chemotherapy drugs, including paclitaxel, dactinomycin, cisplatin, etc. had a lower IC50 in FRGs high-risk group than low-risk group. Conclusion: The AML prognosis model based on FRGs accurately predicts AML prognosis and drug sensitivity, and the drugs identified worthy further investigation.