Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causing coronavirus disease (COVID-19), has been devastated by COVID-19 in an increasing number of countries and health care systems around the world since its announcement of a global pandemic on 11 March 2020. During the pandemic, emerging novel viral mutant variants have caused multiple outbreaks of COVID-19 around the world and are prone to genetic evolution, causing serious damage to human health. As confirmed cases of COVID-19 spread rapidly, there is evidence that SARS-CoV-2 infection involves the central nervous system (CNS) and peripheral nervous system (PNS), directly or indirectly damaging neurons and further leading to neurodegenerative diseases (ND), but the molecular mechanisms of ND and CVOID-19 are unknown. We employed transcriptomic profiling to detect several major diseases of ND: Alzheimer 's disease (AD), Parkinson' s disease (PD), and multiple sclerosis (MS) common pathways and molecular biomarkers in association with COVID-19, helping to understand the link between ND and COVID-19. There were 14, 30 and 19 differentially expressed genes (DEGs) between COVID-19 and Alzheimer 's disease (AD), Parkinson' s disease (PD) and multiple sclerosis (MS), respectively; enrichment analysis showed that MAPK, IL-17, PI3K-Akt and other signaling pathways were significantly expressed; the hub genes (HGs) of DEGs between ND and COVID-19 were CRH, SST, TAC1, SLC32A1, GAD2, GAD1, VIP and SYP. Analysis of transcriptome data suggests multiple co-morbid mechanisms between COVID-19 and AD, PD, and MS, providing new ideas and therapeutic strategies for clinical prevention and treatment of COVID-19 and ND.

Introduction: Since conflicting evidence from systematic reviews and meta-analyses (SRs/MAs) on the effectiveness of acupuncture in the treatment of postpartum depression is observed. To systematically collate, appraise and synthesize the evidence from these SRs/MAs, an overview will be performed, and this study is an overview protocol. Methods and analysis: Eight databases will be searched: Medicine, Web of science, Cochrane Library, Embase, China National Knowledge Infrastructure, SinoMed, VIP, and Wanfang Data. SRs/MAs of acupuncture on postpartum depression will be included. Literature screening, data extraction, and evaluation of the review quality will be performed by 2 independent reviewers. The methodological quality, reporting quality, and evidence quality will be assessed using the assessment of multiple systematic reviews-2 tool, the preferred reporting items for systematic reviews and meta-analyses checklists, and the grading of recommendations, assessment, development, and evaluation system, respectively. The results will be presented in the context of the topic and the objects of the overview. This study will help bridge the implementation gap between clinical evidence and its translation in clinical application, identify flaws in research and guide future high-quality study.

Introduction: Hepatocellular carcinoma (HCC) is a liver cancer. In contrast, ferroptosis is a novel iron-dependent and ROS reliant type of cell death that is observed under various disease conditions. Methods and analysis: RNA sequencing data from HCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Ferroptosis-related long non-coding RNAs (lncRNAs) were screened by Pearson correlation analysis. Patients were randomized into training or testing sets in a 1:1 ratio. They were constructed in the training set using univariate-Lasso and multivariate Cox regression analysis and further tested for prognostic values in the testing set. Four lncRNAs were identified. Kaplan–Meier analysis showed that patients in the high-risk group had a worse prognosis than those in the low-risk group. Following differentially expressed genes analysis of these two groups. Functional analysis showed association with oxidative stress response. Cox regression analyses showed that risk score was an independent prognostic indicator. Receiver operating characteristic curve (ROC) and decision curve analysis demonstrated the accuracy of prediction. Four ferroptosis-related lncRNAs based on differential expression of HCC were screened by bioinformatic methods to construct a prognostic risk model and accurately predict the prognosis of HCC patients. Four lncRNAs may have a potential role in the anti-tumor immune process and serve as therapeutic targets for HCC. To lay the foundation for subsequent studies.

RNA sequencing data from HCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Ferroptosis-related long non-coding RNAs (lncRNAs) were screened by Pearson correlation analysis. Patients were randomized into training or testing sets in a 1:1 ratio. They were constructed in the training set using univariate-Lasso and multivariate Cox regression analysis and further tested for prognostic values in the testing set. Four lncRNAs were identified. Kaplan-Meier analysis showed that patients in the high-risk group had a worse prognosis than those in the low-risk group. Following differentially expressed genes analysis of these two groups. Functional analysis showed association with oxidative stress response. Cox regression analyses showed that risk score was an independent prognostic indicator. Receiver operating characteristic curve (ROC) and decision curve analysis demonstrated the accuracy of prediction. Four ferroptosis-related lncRNAs based on differential expression of HCC were screened by bioinformatic methods to construct a prognostic risk model and accurately predict the prognosis of HCC patients. Four lncRNAs may have a potential role in the anti-tumor immune process and serve as therapeutic targets for HCC. To lay the foundation for subsequent studies.

Objective The purpose of this study was to investigate the impact of cell necrosis-related genes on prognosis of patients with hepatocellular carcinoma（HCC）. Methods The mRNA data of patients with HCC and the clinical data of corresponding patients were downloaded from the Cancer Genome Atlas TCGA database. The polynecrosis-related gene prognostic models were constructed in TCGA files by using LASSO Cox regression. Results by univariate Cox regression analysis, 23 cell necrosis-related differentially expressed genes were associated with prognostic survival（P ＜ 0.05）; in this protocol, a significantly correlated prognostic model of 6 cell necrosis-related genes was constructed; the patients were divided into two groups according to the threshold of risk, and the overall survival in patients with high risk was significantly reduced as compared to in those with low risk（P＜0.01）; meanwhile, by multivariate Cox regression analysis, the risk score met the criteria for independent prognostic factors（P＜0.01）; the enrichment analysis（GO/KEGG） and one-sample gene set enrichment analysis（ssGSEA） were performed based on differentially gene levels, and the differential genes were found to be correlated to immune pathways（P＜0.05）. Conclusion The prognostic model we constructed by 6 cell necrosis-related genes could be applied to predict independently the prognosis of patients with HCC and provide a reference for the clinical management appropriately.

目的:采用Meta分析对电针联合抗精神病药物(AP)在临床治疗精神分裂症(SZ),降低阳性与阴性症状量表(PANSS)评分的效果进行回顾性研究.方法:从2000年1月1日至2021年11月1日检索多个数据库,以PANSS为评价标准,用Review Manager对电针联合AP在中西医结合治疗精神分裂症PANSS评分进行Meta分析.结果:共纳入12项研究,899例患者.Meta结果显示:PANSS总分[P<0.001,SMD=-1.06,95％CI(-1.53,-0.59)]、阳性症状评分[P=0.01,SMD=-0.76,95％CI(-1.35,-0.18)]、阴性症状评分[P<0.001,SMD=-1.03,95％CI(-1.55,-0.51)]、一般精神病理评分[P<0.001,SMD=-0.79,95％CI(-1.38,-0.20)]、临床疗效[P<0.001,SMD=2.45,95％CI(1.67,3.58)].结论:电针联合AP较单用AP可有效降低PANSS各项评分.

目的 探讨构建基于铁死亡相关长链非编码RNA(lncRNA)的预后风险模型预测肝细胞癌(HCC)患者预后的价值.方法 自癌症基因组图谱TCGA数据库下载HCC患者RNA测序数据.基于HCC差异水平的铁死亡相关ln-cRNAs构建预后风险模型.结果 鉴定了 5个基于HCC差异水平的铁死亡相关lncRNAs;Kaplan-Meier分析显示,高风险lncRNAs与HCC预后不良相关,预测3 a生存率的ROC曲线下面积(AUC)为0.873;单样本基因集富集分析(ssGSEA)发现低风险组与高风险组细胞溶解活性、MHCI类分子、Ⅰ型INF反应、Ⅱ型INF反应存在显著性差异(P＜0.05);免疫检查点显示,两组CD44、TNFRSF4和CD276等水平也存在显著性差异(P＜0.05).结论 通过生物信息学方法筛选出5个基于HCC差异水平的铁死亡相关lncRNAs构建的预后风险模型为HCC防治研究奠定了一定的基础.

Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by neurodegeneration, nerve loss, neurofibrillary tangles, and Aβ plaques. In modern medical science, there has been a serious obstacle to the effective treatment of AD. At present, there is no clinically proven and effective western medicine treatment for AD. The reason is that the etiology of AD is not yet fully understood. In 2018, the international community put forward a purely biological definition of AD, but soon this view of biomarkers was widely questioned, because the so-called AD biomarkers are shared with other neurological diseases, the diagnostic accuracy is low, and they face various challenges in the process of clinical diagnosis and treatment. Nowadays, scholars increasingly regard AD as the result of multimechanism and multicenter interaction. Because there is no exact Western medicine treatment for AD, the times call for the comprehensive treatment of AD in traditional Chinese medicine (TCM). AD belongs to the category of “dull disease” in TCM. For thousands of years, TCM has accumulated a lot of relevant treatment experience in the process of diagnosis and treatment. TCM, acupuncture, and the combination of acupuncture and medicine all play an important role in the treatment of AD. Based on the research progress of modern medicine on the pathophysiology of AD, this paper discusses the treatment of this disease with the combination of acupuncture and medicine.