Notes

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Hemophilia A (HA) is a hereditary hemorrhagic disease caused by a deficiency of coagulation factor VIII (FVIII) in blood plasma. Patients with HA usually suffer from spontaneous and recurrent bleeding in joints and muscles, or even intracerebral hemorrhage, which might lead to disability or death. Although the disease is currently manageable via delivery of plasma-derived or recombinant FVIII, this approach is costly, and neutralizing antibodies may be generated in a large portion of patients, which render the regimens ineffective and inaccessible. Given the monogenic nature of HA and that a slight increase in FVIII can remarkably alleviate the phenotypes, HA has been considered to be a suitable target disease for gene therapy. MHY1485 Consequently, the introduction of a functional F8 gene copy into the appropriate target cells via viral or nonviral delivery vectors, including gene correction through genome editing approaches, could ultimately provide an effective therapeutic method for HA patients. In this review, we discuss the recent progress of gene therapy for HA with viral and nonviral delivery vectors, including piggyBac, lentiviral and adeno-associated viral vectors, as well as new raising issues involving liver toxicity, pre-existing neutralizing antibodies of viral approach, and the selection of the target cell type for nonviral delivery.
Maxingyigan (MXYG) decoction is a traditional Chinese medicine (TCM) prescription. However, how MXYG acts against coronavirus disease 2019 (COVID-19) is not known. We investigated the active ingredients and the therapeutic targets of MXYG decoction against COVID-19.

A network pharmacology strategy involving drug-likeness evaluation, prediction of oral bioavailability, network analyses, and virtual molecular docking was used to predict the mechanism of action of MXYG against COVID-19.

Thirty-three core COVID-19-related targets were identified from 1023 gene targets through analyses of protein-protein interactions. Eighty-six active ingredients of MXYG decoction hit by 19 therapeutic targets were screened out by analyses of a compound-compound target network. Via network topology, three "hub" gene targets (interleukin (IL-6), caspase-3, IL-4) and three key components (quercetin, formononetin, luteolin) were recognized and verified by molecular docking. Compared with control compounds (ribavirin, arbidol), the docking score of quercetin to the IL-6 receptor was highest, with a score of 5. Furthermore, the scores of three key components to SARS-CoV-2 are large as 4, 5, and 5, respectively, which are even better than those of ribavirin at 3. Bioinformatics analyses revealed that MXYG could prevent and treat COVID-19 through anti-inflammatory and immunity-based actions involving activation of T cells, lymphocytes, and leukocytes, as well as cytokine-cytokine-receptor interaction, and chemokine signaling pathways.

The hub genes of COVID-19 helped to reveal the underlying pathogenesis and therapeutic targets of COVID-19. This study represents the first report on the molecular mechanism of MXYG decoction against COVID-19.
The hub genes of COVID-19 helped to reveal the underlying pathogenesis and therapeutic targets of COVID-19. This study represents the first report on the molecular mechanism of MXYG decoction against COVID-19.
Tumor heterogeneity imposes great challenges on cancer treatment. Cancer stem cells (CSCs) are a leading factor contributing to tumor occurrence. However, the mechanisms underlying the growth of thyroid cancer (TCHA) are still unclear.

Key genes regulating the characteristics of THCA, such as stemness were identified by combining gene expressions of samples downloaded from the Cancer Genome Atlas (TCGA) and were used to establish an mRNA expression stemness index (mRNAsi) through machine learningbased methods. The relationships of mRNAsi, THCA clinical features and molecular subtypes were analyzed. Weighted Gene Co-Expression Network Analysis (WGCNA) was performed to obtain mRNAsi-related gene modules and determine mRNAsi-related differentially co-expressed genes. Key genes related to mRNAsi were screened by protein interaction network. Functional analysis was conducted and expressions of key genes were verified in multiple external data sets.

The mRNAsi score, which was found to be lower in the TCHA tif the prognosis of THCA patients. Thus, screening therapy could be used to inhibit the stemness of TCHA.
In view of the roles of long non-coding RNA CDKN2B antisense RNA 1 (CDKN2BAS1) in various human diseases, we investigated the function of CDKN2B-AS1 and explored its therapeutic and prognostic target value in multiple biological processes. The aim of this review was to explore the molecular mechanism and clinical significance of CDKN2B-AS1 in various types of diseases.

In this review, the biological functions and mechanisms of lncRNA CDKN2B-AS1 in a variety of pathophysiological processes were summarized and analyzed. The correlated studies were collected via a systematic search of PubMed, Wiley Online Library, and ScienceDirect.

CDKN2B-AS1 is a potential long non-coding RNA that has been shown to be aberrantly expressed in various malignancies, containing hepatocellular carcinoma, intrahepatic cholangiocarcinoma, esophageal squamous cell carcinoma, gastric cancer, colonic adenocarcinoma, cervical cancer, ovarian cancer, breast cancer, glioma, lung cancer, laryngeal squamous cell carcinoma and osteosarcoma, involving in the processes of tumor cells proliferation, migration, invasion and inhibition of tumor cells apoptosis. Besides, CDKN2B-AS1 has been proved implicated in numerous non-malignant diseases, such as idiopathic pulmonary fibrosis, endometriosis, inflammatory bowel disease, intracranial aneurysm, diabetes mellitus and its complications, primary open angle glaucoma, ischemic stroke, atherosclerosis, coronary artery diseases, hypertension and heart failure, participating in the procession of lipid, carbohydrate metabolism and inflammation regulation.

Long non-coding RNA CDKN2B-AS1 likely serves as a promising therapeutic target or prognosis biomarker in multiple human diseases.
Long non-coding RNA CDKN2B-AS1 likely serves as a promising therapeutic target or prognosis biomarker in multiple human diseases.
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