Hepatic space-occupying lesions refer to the lesions which are located in the abnormal echo area or density area of the liver parenchyma, have the appearance of nodule or mass, occupy a certain space, and may cause pressure, displacement, or invasion of adjacent liver tissue and vessels, as determined by imaging examination. Hepatic space-occupying lesions have various causes, as well as similarities and differences in clinical manifestations. An understanding of the etiology and clinical manifestations of hepatic space-occupying lesions helps with their diagnosis and differential diagnosis and the development of targeted therapeutic regimens to improve prognosis. This article introduces related issues, in order to help clinical physicians to expand their thoughts in diagnosis and treatment.

The global efforts aimed at preventing and controlling HIV infections have made remarkable progress. With the continuous accumulation of clinical evidence and the development of antiviral drugs, the treatment of HIV/AIDS has entered an era of chronic disease management. However, it has also brought about many challenges. Currently, some areas in prevention, control and management of HIV infection need to be further improved, and the long-term management model currently in use need to be further refined in China. The comprehensive whole-course management mode for HIV/AIDS, which is proved as effective and efficient means, should be widely recognized and vigorously promoted in order to provide reference and assistance for the clinical management of HIV infection in China.

Since the emergence of novel coronavirus pneumonia in late 2019, it has quickly spread to many countries and regions around the world, causing a significant impact on human beings and society, posing a great threat to the global public health system. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was highly infectious, and some complications emerged rapidly in some patients, including acute respiratory distress syndrome, and multiple organ failure. The virus could trigger a series of immune responses, which might lead to excessive immune activation, thereby bringing about the immune system imbalance of the body. Up to now, there was no specific antiviral drug, and we conjectured that immunomodulatory therapy might play an essential part in the treatment of coronavirus disease 2019 (COVID-19) as adjuvant therapy. Therefore, we analyzed the possible mechanism of immune imbalance caused by the new coronavirus, and summarized the immunotherapeutic means of COVID-19 based on the mechanisms, to provide some reference for follow-up research and clinical prevention and treatment of COVID-19.
Betacoronavirus ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral

Coagulation disorder is one of the characteristics of liver failure, leading to an unstable and vulnerable "rebalance" state of coagulation function, which may be easily broken by internal or external factors. Anticoagulants are often required during artificial liver support therapy for patients with liver failure, which may break the "rebalance" state and result in bleeding events. This article reviews the methods for evaluating coagulation status in liver failure, the features of available anticoagulants, and the advances in the application of such anticoagulants in artificial liver support therapy and discusses the anticoagulation management and selection strategy for artificial liver support therapy with reference to the selection experience of West China Hospital of Sichuan University.

Drugs may induce hepatitis B virus (HBV) reactivation (HBV-R). Here we have reviewed the definition and harm of HBV-R, the risk drugs and their underlying mechanism, the influence factors, as well as the early intervention measures. It is shown that multiple drugs, including chemotherapy drugs, immunotherapy drugs, directly acting antivirals, cell therapy, etc., can induce HBV-R by affecting host immunity or directly activating HBV transcription factors. HBV-R could cause severe liver damage, even interruption of treatment of original diseases, affecting the prognosis of patients. Through precisely identifying risk drugs, monitoring the influence factors, and prescribing preventive anti-HBV regimen if necessary, the incidence of HBV-R can be significantly reduced. It is also suggested that clinical physicians should not only pay attention to the early identification and intervention of HBV-R, but also further study the mechanism of HBV-R in depth, especially the underlying mechanism between host, HBV and risk factors. This will help to promote the discovery of more valuable markers for risk prediction and targets for early intervention, and to further reduce the risk of HBV-R and improve the prognosis of patients.
Hepatitis B virus ; Humans ; Immunotherapy ; Risk Factors

This study aims to clarify host factors of IFN treatment in the treatment of chronic hepatitis B (CHB) patients by screening the differentially expressed genes of IFN pathway CHB patients with different response to interferon (IFN) therapy. Three cases were randomly selected in IFN-responding CHB patients (Rs), non-responding CHB patients (NRs) and healthy participants, respectively. The human type I IFN response RT ² profiler PCR array was used to detect the expression levels of IFN-related genes in peripheral blood monocytes (PBMCs) from healthy participants and CHB patients before and after Peg-IFN-α 2a treatment. The results showed that more differentially expressed genes appeared in Rs group than NRs group after IFN treatment. Comparing with healthy participants, IFNG, IL7R, IRF1, and IRF8 were downregulated in both Rs and NRs group before IFN treatment; CXCL10, IFIT1, and IFITM1 were upregulated in the Rs; IL13RA1 and IFI35 were upregulated in the NRs, while IFRD2, IL11RA, IL4R, IRF3, IRF4, PYHIN1, and ADAR were downregulated. The expression of IL15, IFI35 and IFI44 was downregulated by 4.09 ( t = 10.58, P < 0.001), 5.59 ( t = 3.37, P = 0.028) and 10.83 ( t = 2.8, P = 0.049) fold in the Rs group compared with the NRs group, respectively. In conclusion, IFN-response-related gene array is able to evaluate IFN treatment response by detecting IFN-related genes levels in PBMC. High expression of CXCL10, IFIT1 and IFITM1 before treatment may suggest satisfied IFN efficacy, while high expression of IL13RA1, IL15, IFI35 and IFI44 molecules and low expression of IFRD2, IL11RA, IL4R, IRF3, IRF4, PYHIN1 and ADAR molecules may be associated with poor IFN efficacy.
Humans ; Healthy Volunteers ; Hepatitis B, Chronic/genetics* ; Immunotherapy ; Interleukin-15 ; Leukocytes, Mononuclear ; Nuclear Proteins ; Oligonucleotide Array Sequence Analysis/methods* ; Interferons/therapeutic use* ; Treatment Outcome

Autophagy is a programmed cell degradation process that is involved in a variety of physiological and pathological processes including malignant tumors. Abnormal induction of autophagy plays a key role in the development of hepatocellular carcinoma (HCC). We established a prognosis prediction model for hepatocellular carcinoma based on autophagy related genes. Two hundred and four differentially expressed autophagy related genes and basic information and clinical characteristics of 377 registered hepatocellular carcinoma patients were retrieved from the cancer genome atlas database. Cox risk regression analysis was used to identify autophagy-related genes associated with survival, and a prognostic model was constructed based on this. A total of 64 differentially expressed autophagy related genes were identified in hepatocellular carcinoma patients. Five risk factors related to the prognosis of hepatocellular carcinoma patients were determined by univariate and multivariate Cox regression analysis, including TMEM74, BIRC5, SQSTM1, CAPN10 and HSPB8. Age, gender, tumor grade and stage, and risk score were included as variables in multivariate Cox regression analysis. The results showed that risk score was an independent prognostic risk factor for patients with hepatocellular carcinoma ( HR = 1.475, 95% CI = 1.280-1.699, P < 0.001). In addition, the area under the curve of the prognostic risk model was 0.739, indicating that the model had a high accuracy in predicting the prognosis of hepatocellular carcinoma. The results suggest that the new prognostic risk model for hepatocellular carcinoma, established by combining the molecular characteristics and clinical parameters of patients, can effectively predict the prognosis of patients.
Autophagy/genetics* ; Biomarkers, Tumor/genetics* ; Carcinoma, Hepatocellular/pathology* ; Humans ; Liver Neoplasms/pathology* ; Membrane Proteins/genetics* ; Prognosis