Highlights Mental disorders in COVID-19 patients and survivors revealed that the COVID-19 had immune dysfunction. Analysing the symptoms of COVID-19, TCM syndrome of the depression, anxiety and PTSD was interpreted as internal heat and Yin deficiency. Depression, anxiety and PTSD pertains the category of “lily disease”, “hysteria” and “deficient dysphoria” in TCM. Lily Bulb and Rehmannia Decoction, Lily Bulb and Anemarrhenae Decoction and Ganmai Dazao Decoction were used to treat the depression.

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Our findings suggested that high glucose activated macrophages mainly in TAK1/MAPKs and TAK1/NF-κB-dependent manners, which lead to the polarization of macrophages towards a pro-inflammatory phenotype, and finally lead to diabetic nephropathy. In sum, the study raises novel data about the molecular mechanisms involved in the high glucose-mediated inflammatory response in macrophages.

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Background: The blockage of programmed cell death-1 (PD-1) and recombinant human endostatin can be used for the treatment of non-small cell lung cancer (NSCLC) and its metastasis. This study aims to explore the therapeutically potential of PD-1 blockade plus Endostar in brain metastasis of NSCLC. Methods: The mouse brain metastases model was established by using Lewis lung carcinoma luciferase (LLC-Luc) and PC-9-Luc cells. Tumor metastasis in the brain and tumor burden was analyzed by using bioluminescence imaging (BLI). qRT-PCR and ELISA were used to determine the mRNA and protein levels of biomarkers in tumor tissues. Immunohistochemical staining was used to determine the expression and location of CD31 in tumor tissues in the brain. Results: Treatment with anti-PD-1 and Endostar suppressed tumor metastasis in the brain and prolonged overall survival rate in LLC-Luc and PC-9-Luc brain metastases mouse model. In addition, treatment with anti-PD-1 and Endostar inhibited the expressions of CD31 and VEGF in tumor tissues in the brain. Furthermore, treatment with anti-PD-1 and Endostar significantly suppressed the levels of IL1β, IFNγ, and TGFβ in the tumor tissues. Conclusion: The combination of PD-1 and Endostar suppressed brain metastases of NSCLC.

The malignant transformation of hepatic progenitor cells (HPCs) in the inflammatory microenvironment is the root cause of hepatocarcinogenesis. However, the potential molecular mechanisms are still elusive. The HPCs subgroup is identified by single‐cell RNA (scRNA) sequencing and the phenotype of HPCs is investigated in the primary HCC model. Bulk RNA sequencing (RNA‐seq) and proteomic analyses are also performed on HPC‐derived organoids. It is found that tumors are formed from HPCs in peritumor tissue at the 16th week in a HCC model. Furthermore, it is confirmed that the macrophage‐derived TWEAK/Fn14 promoted the expression of inhibitor of differentiation‐1 (ID1) in HPCs via NF‐κB signaling and a high level of ID1 induced aberrant differentiation of HPCs. Mechanistically, ID1 suppressed differentiation and promoted proliferation in HPCs through the inhibition of HNF4α and Rap1GAP transcriptions. Finally, scRNA sequencing of HCC patients and investigation of clinical specimens also verified that the expression of ID1 is correlated with aberrant differentiation of HPCs into cancer stem cells, patients with high levels of ID1 in HPCs showed a poorer prognosis. This study provides important intervention targets and a theoretical basis for the clinical diagnosis and treatment of HCC.

BackgroundCuproptosis plays a crucial role in cancer, and different subtypes of cuproptosis have different immune profiles in prostate adenocarcinoma (PRAD). This study aimed to investigate immune genes associated with cuproptosis and develop a risk model to predict prognostic characteristics and chemotherapy/immunotherapy responses of patients with PRAD.MethodsThe CIBERSORT algorithm was used to evaluate the immune and stromal scores of patients with PRAD in The Cancer Genome Atlas (TCGA) cohort. Validation of differentially expressed genes DLAT and DLD in benign and malignant tissues by immunohistochemistry, and the immune-related genes of DLAT and DLD were further screened. Univariable Cox regression were performed to select key genes. Least absolute shrinkage and selection operator (LASSO)–Cox regression analyse was used to develop a risk model based on the selected genes. The model was validated in the TCGA, Memorial Sloan-Kettering Cancer Center (MSKCC) and Gene Expression Omnibus (GEO) datasets, as well as in this study unit cohort. The genes were examined via functional enrichment analysis, and the tumor immune features, tumor mutation features and copy number variations (CNVs) of patients with different risk scores were analysed. The response of patients to multiple chemotherapeutic/targeted drugs was assessed using the pRRophetic algorithm, and immunotherapy was inferred by the Tumor Immune Dysfunction and Exclusion (TIDE) and immunophenoscore (IPS).ResultsCuproptosis-related immune risk scores (CRIRSs) were developed based on PRLR, DES and LECT2. High CRIRSs indicated poor overall survival (OS), disease-free survival (DFS) in the TCGA-PRAD, MSKCC and GEO datasets and higher T stage and Gleason scores in TCGA-PRAD. Similarly, in the sample collected by the study unit, patients with high CRIRS had higher T-stage and Gleason scores. Additionally, higher CRIRSs were negatively correlated with the abundance of activated B cells, activated CD8+ T cells and other stromal or immune cells. The expression of some immune checkpoints was negatively correlated with CRIRSs. Tumor mutational burden (TMB), mutant-allele tumor heterogeneity (MATH) and copy number variation (CNV) scores were all higher in the high-CRIRS group. Multiple chemotherapeutic/targeted drugs and immunotherapy had better responsiveness in the low-CRIRS group.ConclusionOverall, lower CRIRS indicated better response to treatment strategies and better prognostic outcomes.