Frailty in elderly patients undergoing arthroplasty increases the risk of postoperative complications, prolongs hospital stays, delays the rehabilitation process, and aggravates the economic burden. Frailty is a dynamic condition, and early detection and effective intervention can delay its progression. Therefore, early assessment of frailty status in patients is necessary. Currently, there are numerous frailty assessment tools, but the selection of these tools lacks a solid basis. This paper reviews the impact of frailty on the physical condition of elderly arthroplasty patients, as well as the content, application, advantages, and limitations of existing frailty assessment tools at home and abroad. Furthermore, it summarizes the problems in the process of frailty assessment and puts forward prospects, aiming to provide reference for the identification and assessment of frailty in elderly arthroplasty patients in the future.

The coronavirus disease 2019 (COVID-19) epidemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still ongoing. With the continuation of the epidemic, the SARS-CoV-2 genome is constantly mutating and evolving, producing more and more SARS-CoV-2 variants, which has brought severe pressure to the prevention and control of COVID-19. In view of the spread of COVID-19, it is extremely important to confirm the infection with SARS-CoV-2 and identify SARS-CoV-2 variants through nucleic acid detection. Therefore, it is urgent to develop highly sensitive and highly specific detection method for different application scenes, such as on-site, high-throughput and automated detection, to realize the diagnosis of SARS-CoV-2 and its variants. At present, researchers have used clustered regularly interspaced short palindromic repeats (CRISPR)-based nucleic acid detection technology combined with lateral flow strips and other technologies to establish a variety of diagnostic method for SARS-CoV-2 and SARS-CoV-2 variants, which can be applied to different scenes and regions. In this article, we summarize the research progress of CRISPR-based SARS-CoV-2 diagnostic method.

The vagus nerve plays an important role in regulating the homeostasis of inflammation. Inflammation signals in the body are passed to the vagus nerve efferent fibers via nerve reflexes, and the signals generated by efferent fibers will play an anti-inflammatory role in various inflammatory diseases through immune cells such as T cells that express choline acetyltransferase and macrophages. However, the resolution of inflammation is not only the interaction between pro-inflammatory and anti-inflammatory cytokines, but also an active process of biosynthesis, including the synthesis of various pro-resolving mediators and their physiological utility process. Moreover, the cholinergic inflammation reflex also plays a crucial role in inflammation resolution. This review reviews and summarizes the cholinergic inflammatory reflex and its key role in the process of inflammation resolution.

2019 Novel coronavirus (2019-nCoV) infection has caused a global pandemic. Although researchers have carried out a lot of research on 2019-nCoV, analyzed the molecular structure and conducted evolutionary tree analysis, there is still insufficient understanding of its specific pathogenic mechanism, resulting in the lack of specific and effective therapeutic drugs and method. 2019-nCoV infection can cause inflammation and may deteriorate to acute respiratory distress syndrome (ARDS) and sepsis, which have become the main complication of its death. Therefore, using antiviral and symptomatic treatment with inflammation reduction can have a better therapeutic effect. Mesenchymal stem cells (MSCs) not only have a significant immune-regulation function, but also play a role in regeneration and repair, repairing damaged lungs, so they can be considered as a new effective method for the treatment of coronavirus disease 2019 (COVID-19). This article analyzes the main pathogenic mechanism of 2019-nCoV, and the process of developing into ARDS, combined with the research status of MSCs, to explore its significance and feasibility for the treatment of COVID-19. Finally, it will provide a substantial theoretical basis for clinical treatment now and in the future.

On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.

Macroautophagy (referred to as autophagy hereafter) is a major intracellular lysosomal degradation pathway that is responsible for the degradation of misfolded/damaged proteins and organelles. Previous studies showed that autophagy protects against acetaminophen (APAP)-induced injury (AILI) via selective removal of damaged mitochondria and APAP protein adducts. The lysosome is a critical organelle sitting at the end stage of autophagy for autophagic degradation via fusion with autophagosomes. In the present study, we showed that transcription factor EB (TFEB), a master transcription factor for lysosomal biogenesis, was impaired by APAP resulting in decreased lysosomal biogenesis in mouse livers. Genetic loss-of and gain-of function of hepatic TFEB exacerbated or protected against AILI, respectively. Mechanistically, overexpression of TFEB increased clearance of APAP protein adducts and mitochondria biogenesis as well as SQSTM1/p62-dependent non-canonical nuclear factor erythroid 2-related factor 2 (NRF2) activation to protect against AILI. We also performed an unbiased cell-based imaging high-throughput chemical screening on TFEB and identified a group of TFEB agonists. Among these agonists, salinomycin, an anticoccidial and antibacterial agent, activated TFEB and protected against AILI in mice. In conclusion, genetic and pharmacological activating TFEB may be a promising approach for protecting against AILI.