Coronavirus disease 2019 (COVID-19) is an acute infectious respiratory disease that has been prevalent since December 2019. Chinese medicine (CM) has demonstrated its unique advantages in the fight against COVID-19 in the areas of disease prevention, improvement of clinical symptoms, and control of disease progression. This review summarized the relevant material components of CM in the treatment of COVID-19 by searching the relevant literature and reports on CM in the treatment of COVID-19 and combining with the physiological and pathological characteristics of the novel coronavirus. On the basis of sorting out experimental methods in vivo and in vitro, the mechanism of herb action was further clarified in terms of inhibiting virus invasion and replication and improving related complications. The aim of the article is to explore the strengths and characteristics of CM in the treatment of COVID-19, and to provide a basis for the research and scientific, standardized treatment of COVID-19 with CM.
Humans ; Drugs, Chinese Herbal/pharmacology* ; COVID-19 Drug Treatment ; SARS-CoV-2/drug effects* ; COVID-19/therapy* ; Medicine, Chinese Traditional/methods* ; Antiviral Agents/pharmacology* ; Animals

OBJECTIVES: To explore the underlying pharmacological mechanisms and its potential effects of Chinese medicine herbal formula Sini Powder (SNP) on hepatocellular carcinoma (HCC). METHODS: The active components of SNP and their in vivo distribution were identified using ultraperformance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Construction of component-target-disease networks, protein-protein interaction network, Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and molecular docking were employed to analyze the active components and anti-HCC mechanisms of SNP. Cell viability assay and wound healing assay were utilized to confirm the effect of SNP-containing serum (2.5%, 5.0%, 10%, 20%, and 40%), isoprenaline or propranolol (both 10, 100, and 1,000 µ mol/L) on proliferation and migration of HepG 2 or Huh7 cells. Meanwhile, the effect of isoprenaline or propranolol on the β 2 adrenergic receptor (ADRB2) mRNA expression on HepG2 cells were measured by real-time quantitative reverse transcription (RT-qPCR). Mice with subcutaneous tumors were either subjected to chronic restraint stress (CRS) followed by SNP administration (364 mg/mL) or directly treated with SNP (364 mg/mL). These two parallel experiments were performed to validate the effects of SNP on stress responses. Stress-related proteins and hormones were quantified using RT-qPCR, enzyme-linked immunosorbent assay, and immunohistochemistry. Metagenomic sequencing was performed to confirm the influence of SNP on the gut microbiota in the tumor-bearing CRS mice. RESULTS: The distribution of the 12 active components of SNP was confirmed in various tissues and feces. Network pharmacology analysis confirmed the anti-HCC effects of the 5 active components. The potential anti-HCC mechanisms of SNP may involve the epidermal growth factor receptor (EGFR), proto-oncogene tyrosine-protein kinase Src (SRC) and signal transducer and activator of transcription 3 (STAT3) pathways. SNP-containing serum inhibited the proliferation of HepG2 and Huh7 cells at concentrations of 2.5% and 5.0%, respectively, after 24 h of treatment. Furthermore, SNP suppressed tumor progression in tumor-bearing mice exposed to CRS. SNP treatment also downregulated the expressions of stress-related proteins and pro-inflammatory cytokines, primarily by modulating the gut microbiota. Specifically, the abundance of Alistipes and Prevotella, which belong to the phylum Bacteroidetes, increased in the SNP-treated group, whereas Lachnospira, in the phylum Firmicutes, decreased. CONCLUSION SNP can combat HCC by alleviating stress responses through the regulation of gut microbiota.
Animals ; Gastrointestinal Microbiome/drug effects* ; Liver Neoplasms/microbiology* ; Carcinoma, Hepatocellular/microbiology* ; Humans ; Drugs, Chinese Herbal/therapeutic use* ; Powders ; Cell Proliferation/drug effects* ; Mice ; Molecular Docking Simulation ; Cell Line, Tumor ; Hep G2 Cells ; Receptors, Adrenergic, beta-2/genetics* ; Stress, Physiological/drug effects* ; Cell Movement/drug effects* ; Male ; Protein Interaction Maps/drug effects* ; Cell Survival/drug effects* ; Proto-Oncogene Mas

Acute kidney injury (AKI) has high morbidity and mortality, but effective clinical drugs and management are lacking. Previous studies have suggested that macrophages play a crucial role in the inflammatory response to AKI and may serve as potential therapeutic targets. Emerging evidence has highlighted the importance of forkhead box protein O1 (FoxO1) in mediating macrophage activation and polarization in various diseases, but the specific mechanisms by which FoxO1 regulates macrophages during AKI remain unclear. The present study aimed to investigate the role of FoxO1 in macrophages in the pathogenesis of AKI. We observed a significant upregulation of FoxO1 in kidney macrophages following ischemia-reperfusion (I/R) injury. Additionally, our findings demonstrated that the administration of FoxO1 inhibitor AS1842856-encapsulated liposome (AS-Lipo), mainly acting on macrophages, effectively mitigated renal injury induced by I/R injury in mice. By generating myeloid-specific FoxO1-knockout mice, we further observed that the deficiency of FoxO1 in myeloid cells protected against I/R injury-induced AKI. Furthermore, our study provided evidence of FoxO1's pivotal role in macrophage chemotaxis, inflammation, and migration. Moreover, the impact of FoxO1 on the regulation of macrophage migration was mediated through RhoA guanine nucleotide exchange factor 1 (ARHGEF1), indicating that ARHGEF1 may serve as a potential intermediary between FoxO1 and the activity of the RhoA pathway. Consequently, our findings propose that FoxO1 plays a crucial role as a mediator and biomarker in the context of AKI. Targeting macrophage FoxO1 pharmacologically could potentially offer a promising therapeutic approach for AKI.

Traditionally, platelets, which are anucleate cell fragments derived from blood cells, have been primarily associated with their pivotal functions in hemostasis and thrombosis. However, recent research has elucidated their significant role in immune regulation, highlighting their expression of various immune receptors, involvement in numerous immune-related signaling pathways, and activation of diverse effector functions. This paper elaborates on the fundamental biological characteristics and immune functions of platelets, the involvement of activated platelets in immune regulation, and their prospective applications in clinical therapy. Furthermore, the paper discusses future directions in platelet immune research, as well as the prospects and developmental trends in immunotherapy, aiming to furnish a thorough reference for the investigation and clinical utilization of platelets within the domain of immune regulation.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

Objective To investigate the association between birth weight and dementia risk and the mediating roles of chronic diseases,and to assess potential biological pathways underlying the birth weight-associated dementia risk based on large-scale proteomics.Methods We used data from 279 743 participants aged 40 to 69 years enrolled in the UK Biobank.Birth weight was categorized into low birth weight(≤2 500 g),normal birth weight(2 500-3 999 g),and macrosomia(≥4 000 g).Multivariable Cox proportional hazards regression models were used to assess the associations between birth weight categories and all-cause dementia and its subtypes(Alzheimer's disease and vascular dementia).Proteomics analyses were conducted to identify proteins and the potential pathways involved.Results Low birth weight was associated with higher risks for all-cause dementia and its subtypes.The hazard ratios were 1.18(95%CI,1.08-1.30)for all-cause dementia,1.14(95%CI,1.00-1.31)for Alzheimer's disease,and 1.22(95%CI,1.01-1.48)for vascular dementia.A non-linear relationship was observed between birth weight and dementia risk(P for nonlinearity<0.001).Certain cardiometabolic diseases in middle-aged adults,such as diabetes,stroke,hypertension,and dyslipidemia,played a significant mediating role in the relationship between low birth weight and dementia risk,with the mediation proportion being 6.3%to 15.8%.Proteomic analyses identified 21 proteins linked to both low birth weight and all-cause dementia risk,which were significantly enriched in the pathways for viral protein interaction with cytokines and cytokine receptors,adipocytokine signaling,and cytokine-cytokine receptor interaction.Conclusion Low birth weight is positively associated with dementia risk.Cardiometabolic diseases in middle-aged adults may mediate the relationship between low birth weight and dementia risk.A number of proteins and the associated pathways underscore the relationship between low birth weight and dementia risk.

Objective To study and verify the function of de novo interferon regulatory factor(IRF8)frameshift mutation detected in an etiology screening of the cohort of children with recurrent pneumonia at the molecular level.Methods The recombinant overexpression plasmids with wildtype or mutated IRF8 genes were constructed to transiently transfect HEK293T cells,or packed into lentivirus to infect two kinds of immune cell lines.Q-PCR,Western blot,immunofluorescence and other experimental assays were performed to explore the differences of expression and the regulatory effect on downstream genes associated with inflammation.Results The recombinant vectors with wildtype or mutated IRF8 genes were constructed successfully,and the efficiency of transfection by plasmids and infection by packed lentivirus was remarkable as well.Compared with wildtype,the molecular weight of IRF8 variant was slightly increased,while the expression level presents in opposition,even if on transcription level.Moreover,the localization of IRF8 variant was detected in abundance in nucleus rather than cytoplasm,and its inhibition effect was enhanced on the downstream ISRE element in comparison with the wildtype IRF8 protein.Conclusion The de novo frameshift mutation was presumed as gain-of-function(GOF)mutation.

Objective To screen the influencing factors of hepatitis C cirrhosis patients progressing to hepatocellular carcinoma(HCC)using commonly used laboratory testing indicators,establish a prediction model using these indicators and validate them.Methods A total of 231 patients with hepatitis C cirrhosis and 179 patients with hepatitis C HCC hospitalized at the First Affiliated Hospital of Xi'an Jiaotong University between June 2020 and May 2023 were enrolled as the training set,and 105 patients with hepatitis C cirrhosis and 86 patients with hepatitis C HCC hospitalized between June 2023 and February 2024 were enrolled as the validation set.The routine laboratory test indexes of the study subjects in the two groups within the training set were compared,and logistic regression analysis was applied to screen the independent predictors of hepatocellular carcinoma occurrence.Receiver operating characteristic(ROC)curve was used to construct the curve model and validate the model.Results The age,male ratio,ALT,AST,AFP,WBC,NEU,MO,PLT,MPV,PDW,Fbg,NLR and PLR levels of the HCC group were higher than those of the cirrhosis group in the training set(H=-9.07～-2.19),while the levels of INR and LMR were lower than those of the cirrhosis group(H=-4.49,-2.65),and the differences were significant(all P＜0.05).The differences in TP,eGFR,LY and AST/ALT values between the two groups of patients were not significant(H=-1.46～-0.15,all P＞0.05).Multifactorial Logistic regression analysis showed that age(OR=1.048,95％CI:1.023～1.074),Male(OR=1.467,95％CI:1.413～1.765),AST(OR=1.010,95％CI:1.002～1.019),NEU(OR=1.186,95％CI:1.018～1.382)and Fbg(OR=2.245,95％CI:1.639～3.076)were independent risk factors for hepatocellular carcinoma patients(all P＜0.05),and these five independent risk factors were used to construct the HCC column-line graph prediction model,with the AUC for the training set and the validation set AUC(95％Cl)were 0.813(0.771～0.854)and 0.712(0.639～0.784),respectively,and the Hosmer-Lemeshow test showed a good fit of the model with P=0.650 for the training set and P=0.310 for the validation set.Conclusion The prediction model of HCC based on age,gender,AST,NEU and Fbg can have good predictive efficacy and clinical application value.