A Novel miRNA in Rice Associated with the Low Seed Setting Rate Symptom of Rice Stripe Virus

MicroRNAs play key regulatory roles in plant development. The changed pattern of miRNA expression is involved in the production of viral symptoms. Here, we showed that a small RNA, Seq119, a putative novel microRNA, is associated with the low seed setting rate, a viral symptom of rice stripe virus (RSV)-infected rice. The expression of Seq 119 was downregulated in RSV-infected rice. The overexpression of Seq119 in transgenic rice plants did not cause any obvious phenotypic changes in plant development. When the expression of Seq119 was suppressed in rice plants either by expressing a mimic target or by CRISPR/Cas editing, seed setting rates were extremely low, similar to the effects of RSV infection. The putative targets of Seq119 were then predicted. The overexpression of the target of Seq119 in rice caused a low seed setting rate, similar to that in Seq119-suppressed or edited rice plants. Consistently, the expression of the target was upregulated in Seq119-suppressed and edited rice plants. These results suggest that downregulated Seq119 is associated with the low seed setting rate symptom of the RSV in rice.

CAR-Based Immunotherapy of Solid Tumours-A Survey of the Emerging Targets

Immunotherapy with CAR T-cells has revolutionised the treatment of B-cell and plasma cell-derived cancers. However, solid tumours present a much greater challenge for treatment using CAR-engineered immune cells. In a partner review, we have surveyed data generated in clinical trials in which patients with solid tumours that expressed any of 30 discrete targets were treated with CAR-based immunotherapy. That exercise confirms that efficacy of this approach falls well behind that seen in haematological malignancies, while significant toxic events have also been reported. Here, we consider approximately 60 additional candidates for which such clinical data are not available yet, but where pre-clinical data have provided support for their advancement to clinical evaluation as CAR target antigens.

CAR Based Immunotherapy of Solid Tumours-A Clinically Based Review of Target Antigens

Immunotherapy with CAR-engineered immune cells has transformed the management of selected haematological cancers. However, solid tumours have proven much more difficult to control using this emerging therapeutic modality. In this review, we survey the clinical impact of solid tumour CAR-based immunotherapy, focusing on specific targets across a range of disease indications Among the many candidates which have been the subject of non-clinical CAR T-cell research, clinical data are available for studies involving 30 of these targets. Here, we map out this clinical experience, highlighting challenges such as immunogenicity and on-target off-tumour toxicity, an issue that has been both unexpected and devastating in some cases. We also summarise how regional delivery and repeated dosing have been used in an effort to enhance impact and safety. Finally, we consider how emerging armouring systems and multi-targeted CAR approaches might be used to enhance tumour access and better enable discrimination between healthy and transformed cell types.

Exploring Synthesis and Chemotherapeutic Potential of Thiosemicarbazide Analogs

BACKGROUND

Cancer is a leading cause of death worldwide, accounting for nearly 10 million deaths in 2020. Researchers are continually finding new and more effective medications to battle the diseases.

OBJECTIVE

The objective of this study is to identify the emerging role of Thiosemicarbazide analogs for different types of cancer targets with a glance at different novel synthetic routes reported for their synthesis.

METHODS

A systematic literature review was conducted from various sources over the last 15 years with the inclusion of published research and review articles that involves the synthesis and use of thiosemicarbazide analogs for different targets of cancer. Data from the literature review for synthesis and anticancer potential for specific targets for cancer studies of thiosemicarbazide analogs are summarized in the paper.

RESULTS

There are several emerging studies for new synthetic routes of thiosemicarbazide derivatives with their role in various types of cancers. The main limitation is the lack of clinical trial of the key findings for the emergence of new anticancer medication with thiosemicarbazide moiety.

CONCLUSION

Emerging therapies exist for use of a limited number of medications for the treatment of cancer; results of the ongoing studies will provide more robust evidence in the future.

Protective Effect of 20(S)-Protopanaxadiol on D-Gal-Induced Cognitively Impaired Mice Based on Its Target Protein Brain-type Creatine Kinase

Ginseng is an important medicinal herb consumed as dietary supplements. Ginsenosides and their metabolites have been reported to enhance cognitive performance, but their underlying mechanisms remain unclear. Brain-type creatine kinase (CK-BB) was previously screened out as one of the potential targets in brain tissues. In vitro, the strongest direct interaction between 20(S)-protopanaxadiol (PPD), a ginsenoside metabolite, and CK-BB was detected using biolayer interferometry (BLI). Drug affinity responsive target stability, cellular thermal shift assay, BLI, and isothermal titration calorimetry were subsequently used, and the binding of PPD to CK-BB was verified. The binding sites of the CK-BB/PPD complex were clarified by molecular docking and site-directed mutagenesis. Enzyme activity assay showed that the binding of PPD to CK-BB in vitro enhanced its activity. In vivo, PPD increased CK-BB activity in D-gal-induced mice. PPD also improved the D-gal-induced cognitive deficits and ameliorated alterations in oxidative stress and hippocampal synaptic plasticity. Therefore, the integration of PPD with its target protein CK-BB may promote CK-BB activity, thereby ameliorating hippocampal synaptic plasticity and cognitive deficits in D-gal-treated mice.

Care Endpoints in Adults With Type 2 Diabetes: Screening and Therapeutic Targets at a Canadian Tertiary Diabetes Care Centre

OBJECTIVES

Although national diabetes guidelines recommend targets for various health parameters, studies have demonstrated a gap between recommendations and real-life practice. The objectives of the present study were to 1) assess measurements in type 2 diabetes (T2DM) care performed by diabetologists in tertiary care, 2) determine whether these measurements were within recommended targets by Canadian guidelines, and 3) identify how these measurements compare with previously published Canadian studies.

METHODS

A retrospective chart review analyzed electronic medical records of patients seen by diabetes specialists at the McGill University Health Centre (MUHC). Patients 18 to 75 years of age and diagnosed with T2DM were assessed for blood pressure <130/80 mmHg, low-density lipoprotein cholesterol (LDL-C) ≤2 mmol/L and glycated hemoglobin (A1C) ≤7%. Urinary albumin:creatinine ratio (uACR) was also assessed. Comparisons were made with existing literature data.

RESULTS

The percentages of patients with recent screening of A1C, LDL-C, blood pressure and uACR were higher compared with the earlier studies. The calculated means for A1C, LDL-C and blood pressure were comparable with those studies. The percentage of measurements achieving target was comparable with subspecialty care data but differed from primary care data.

CONCLUSIONS

Patients with T2DM at the MUHC receive guideline-based measurements of health parameters more frequently than at other institutions. Achievement of target values was closer to that seen by Canadian specialists than by primary care. Although further analyses are necessary to help implement effective strategies for improvement, quality assurance is nonetheless an essential part of ensuring the standards of tertiary care.

Nur77 Serves as a Potential Prognostic Biomarker That Correlates with Immune Infiltration and May Act as a Good Target for Prostate adenocarcinoma

Prostate adenocarcinoma (PRAD) is the most frequent malignancy, and is the second leading cause of death due to cancer in men. Thus, new prognostic biomarkers and drug targets for PRAD are urgently needed. As we know, nuclear receptor Nur77 is important in cancer development and changes in the tumor microenvironment; whereas, the function of Nur77 in PRAD remains to be elucidated. The TCGA database was used to explore the Nur77 expression and its role in the prognosis of PRAD. It was shown that Nur77 was down regulated in PRAD, and low Nur77 expression was correlated with advanced clinical pathologic characteristics (high grade, histological type, age) and poor prognosis. Furthermore, key genes screening was examined by univariate Cox analysis and Kaplan-Meier survival. Additionally, Nur77 was closely related to immune infiltration and some anti-tumor immune functions. The differentially expressed genes (DEGs) were presented by protein-protein interaction (PPI) network analysis. Therefore, the expression level of Nur77 might help predict the survival of PRAD cases, which presents a new insight and a new target for the treatment of PRAD. In vitro experiments verified that natural product malayoside targeting Nur77 exhibited significant therapeutic effects on PRAD and largely induced cell apoptosis by up-regulating the expression of Nur77 and its mitochondrial localization. Taken together, Nur77 is a prognostic biomarker for patients with PRAD, which may refresh the profound understanding of PRAD individualized treatment.

Peptide-assembled nanoparticles targeting tumor cells and tumor microenvironment for cancer therapy

Tumor cells and corrupt stromal cells in the tumor microenvironment usually overexpress cancer-specific markers that are absent or barely detectable in normal cells, providing available targets for inhibiting the occurrence and development of cancers. It is noticeable that therapeutic peptides are emerging in cancer therapies and playing more and more important roles. Moreover, the peptides can be self-assembled and/or incorporated with polymeric molecules to form nanoparticles via non-covalent bond, which have presented appealing as well as enhanced capacities of recognizing targeted cells, responding to microenvironments, mediating internalization, and achieving therapeutic effects. In this review, we will introduce the peptide-based nanoparticles and their application advances in targeting tumor cells and stromal cells, including suppressive immune cells, fibrosis-related cells, and angiogenic vascular cells, for cancer therapy.

The molecular mechanisms of acetaminophen-induced hepatotoxicity and its potential therapeutic targets

Acetaminophen (APAP), a widely used antipyretic and analgesic drug in clinics, is relatively safe at therapeutic doses; however, APAP overdose may lead to fatal acute liver injury. Currently, N-acetylcysteine (NAC) is clinically used as the main antidote for APAP poisoning, but its therapeutic effect remains limited owing to rapid disease progression and the general diagnosis of advanced poisoning. As is well known, APAP-induced hepatotoxicity (AIH) is mainly caused by the toxic metabolite N-acetyl-p-benzoquinone imine (NAPQI), and the toxic mechanisms of AIH are complicated. Several cellular processes are involved in the pathogenesis of AIH, including liver metabolism, mitochondrial oxidative stress and dysfunction, sterile inflammation, endoplasmic reticulum stress, autophagy, and microcirculation dysfunction. Mitochondrial oxidative stress and dysfunction are the major cellular events associated with APAP-induced liver injury. Many biomolecules involved in these biological processes are potential therapeutic targets for AIH. Therefore, there is an urgent need to comprehensively clarify the molecular mechanisms underlying AIH and to explore novel therapeutic strategies. This review summarizes the various cellular events involved in AIH and discusses their potential therapeutic targets, with the aim of providing new ideas for the treatment of AIH.

Elucidating the progress and impact of ferroptosis in hemorrhagic stroke

Hemorrhagic stroke is a devastating cerebrovascular disease with high morbidity and mortality, for which effective therapies are currently unavailable. Based on different bleeding sites, hemorrhagic stroke can be generally divided into intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH), whose pathogenesis share some similarity. Ferroptosis is a recently defined programmed cell deaths (PCDs), which is a critical supplement to the hypothesis on the mechanism of nervous system injury after hemorrhagic stroke. Ferroptosis is characterized by distinctive morphological changes of mitochondria and iron-dependent accumulation of lipid peroxides. Moreover, scientists have successfully demonstrated the involvement of ferroptosis in animal models of ICH and SAH, indicating that ferroptosis is a promising target for hemorrhagic stroke therapy. However, the studies on ferroptosis still faces a serious of technical and theoretical challenges. This review systematically elaborates the role of ferroptosis in the pathogenesis of hemorrhagic stroke and puts forward some opinions on the dilemma of ferroptosis research.

A novel prognostic related lncRNA signature associated with amino acid metabolism in glioma

Background

Glioma is one of the deadliest malignant brain tumors in adults, which is highly invasive and has a poor prognosis, and long non-coding RNAs (lncRNAs) have key roles in the progression of glioma. Amino acid metabolism reprogramming is an emerging hallmark in cancer. However, the diverse amino acid metabolism programs and prognostic value remain unclear during glioma progression. Thus, we aim to find potential amino-related prognostic glioma hub genes, elaborate and verify their functions, and explore further their impact on glioma.

Methods

Glioblastoma (GBM) and low-grade glioma (LGG) patients' data were downloaded from TCGA and CCGA datasets. LncRNAs associated with amino acid metabolism were discriminated against via correlation analysis. LASSO analysis and Cox regression analysis were conducted to identify lncRNAs related to prognosis. GSVA and GSEA were performed to predict the potential biological functions of lncRNA. Somatic mutation data and CNV data were further built to demonstrate genomic alterations and the correlation between risk scores. Human glioma cell lines U251 and U87-MG were used for further validation in vitro experiments.

Results

There were eight amino-related lncRNAs in total with a high prognostic value that were identified via Cox regression and LASSO regression analyses. The high risk-score group presented a significantly poorer prognosis compared with the low risk-score group, with more clinicopathological features and characteristic genomic aberrations. Our results provided new insights into biological functions in the above signature lncRNAs, which participate in the amino acid metabolism of glioma. LINC01561 is one of the eight identified lncRNAs, which was adopted for further verification. In in vitro experiments, siRNA-mediated LINC01561 silencing suppresses glioma cells' viability, migration, and proliferation.

Conclusion

Novel amino-related lncRNAs associated with the survival of glioma patients were identified, and a lncRNA signature can predict glioma prognosis and therapy response, which possibly has vital roles in glioma. Meanwhile, it emphasized the importance of amino acid metabolism in glioma, particularly in providing deeper research at the molecular level.

Odorant receptors as potential drug targets

Odorant receptors (ORs) belong to a large family of G protein-coupled receptors (GPCRs) that are highly expressed by olfactory sensory neurons of the nose. Accumulating evidence indicates that they are also expressed in a variety of nonolfactory tissues, which makes them new potential drug targets. Here we discuss the challenges and strategies to target these receptors.

ZFPM2-AS1: An Oncogenic Long Non-coding RNA in Multiple Cancer Types

Long non-coding RNA (lncRNA) is a novel kind of RNA transcript with lengths greater than 200 nucleotides. Functionally, lncRNAs lack the potential to encode peptides or proteins. Previous studies unveiled that lncRNA participated in numerous physiological and pathological processes, including cancer, aging, and immune responses. Newly discovered long noncoding RNA zinc finger protein, Friend of GATA (FOG) family member 2-antisense 1 (ZFPM2-AS1), located on the 8q23 chromosome, acts as a tumor stimulator in various cancer types, including Breast Cancer (BC), Colorectal Cancer (CRC), Esophageal Squamous Cell Carcinoma (ESCC), Gastric Cancer (GC), glioma, hepatocellular carcinoma (HCC), Lung Adenocarcinoma (LUAD), melanoma, non-small cell lung cancer (NSCLC), Retinoblastoma (RB), Small Cell Lung Cancer (SCLC) and thyroid cancer. Accumulative evidence also elucidated that ZFPM2-AS1 dysregulation was related to tumor proliferative, migratory, invasive, anti-apoptotic, and pro-epithelial-tomesenchymal Transition (EMT) effects, larger tumor volume, higher tumor weight, advanced tumor stage, high rates of lymphatic metastasis, distant metastasis, poor prognosis, histological differentiation, higher TNM (tumor, node, metastases) stage, depth of tumor invasion, reduced overall and disease- free survival, vein invasion, and shorter 5-year overall survival. Mechanistically, ZFPM2-AS1 acted as a ceRNA to play its oncogenic role. Thus, this study summarized the specific mechanisms of the lncRNA ZFPM2-AS1 in the aforementioned cancer types to reveal its novel application in cancer diagnosis, treatment, and prognosis.

Exploring the active ingredients and potential mechanisms of action of sinomenium acutum in the treatment of rheumatoid arthritis based on systems biology and network pharmacology

Objective: To investigate and predict the targets and signaling pathways of sinomenium acutum (SA) in the treatment of rheumatoid arthritis (RA) through systems biology and network pharmacology, and to elucidate its possible mechanisms of action. Methods: We screened the active ingredients and corresponding target proteins of SA in Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Traditional Chinese Medicines Integrated Database (TCMID) and Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine (BATMAN); and obtained the targets of rheumatoid arthritis diseases in a database of gene-disease associations (DisGeNET), Online Mendelian Inheritance in Man (OMIM) database. The two targets were mapped by Venn diagram and the intersection was taken. The intersecting targets were used to construct protein-protein interaction (PPI) network maps in the String database, and Metascape was used for Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. Finally, the molecular docking technique was applied to validate and further clarify the core target of SA for the treatment of rheumatoid arthritis. Results: A total of six active ingredients and 217 potential targets were obtained after screening; 2,752 rheumatoid arthritis-related targets and 66 targets common to RA and SA. GO function and KEGG pathway enrichment analysis yielded 751 GO function entries (652 GO biological processes, 59 GO molecular functions and 40 GO cellular components) and 77 KEGG signaling pathways. It mainly involves pathways related to neural activity ligand-receptor interaction pathways, cancer pathways, calcium signaling channels, Th17 cell differentiation and others, which are mainly classified into four categories, including regulation of immunity, anti-inflammation, regulation of cell growth and apoptosis, and signaling. The molecular docking results showed that the binding energy of PTGS2, CASP3, JUN and PPARG to the key components beta-sitosterol, 16-epi-Isositsirikine, Sinomenine and Stepholidine were ≤ -6.5 kcal/mol, suggesting the existence of molecular binding sites. Conclusion: SA acts on key targets such as PTGS2, CASP3, JUN, and PPARG to modulate signaling pathways such as neural activity ligand-receptor interaction, cancer, calcium ion, NF-κB, and Th17 cell differentiation to regulate immunity, anti-inflammation, modulation of cell cycle, bone metabolism, and signaling for the treatment of RA. It was also confirmed that the treatment of RA with SA has multi-component, multi-target, multi-pathway and multi-mechanism characteristics.

Genomic and Transcriptional Profiling of Chinese Melanoma Patients Enhanced Potentially Druggable Targets: A Multicenter Study

BACKGROUND

In contrast to Caucasian melanoma, which has been extensively studied, there are few studies on melanoma in Asian populations. Sporadic studies reported that only 40% of Asian melanoma patients could be druggable, which was much lower than that in Caucasians. More studies are required to refine this conclusion.

METHODS

Chinese melanoma patients (n = 469) were sequentially sequenced by DNA-NGS and RNA-NGS. The genomic alterations were determined, and potentially actionable targets were investigated.

RESULTS

Patients with potential druggable targets were identified in 75% of Chinese melanoma patients by DNA-NGS based on OncoKB, which was much higher than in a previous Asian study. NRG1 fusions were first identified in melanoma. In addition, up to 11.7% (7/60) of patients in the undruggable group could be recognized as actionable by including RNA-NGS analysis. By comparing the fusion detection rate between DNA-NGS and RNA-NGS, all available samples after DNA-NGS detection were further verified by RNA-NGS. The use of RNA-NGS enhanced the proportion of druggable fusions from 2.56% to 17.27%. In total, the use of RNA-NGS increased the druggable proportion from 75% to 78%.

CONCLUSIONS

In this study, we systemically analyzed the actionable landscape of melanoma in the largest Asian cohort. In addition, we first demonstrated how DNA and RNA sequential sequencing is essential in bringing clinical benefits to more patients with melanoma.

Computer-aided drug design combined network pharmacology to explore anti-SARS-CoV-2 or anti-inflammatory targets and mechanisms of Qingfei Paidu Decoction for COVID-19

Introduction

Coronavirus Disease-2019 (COVID-19) is an infectious disease caused by SARS-CoV-2. Severe cases of COVID-19 are characterized by an intense inflammatory process that may ultimately lead to organ failure and patient death. Qingfei Paidu Decoction (QFPD), a traditional Chines e medicine (TCM) formula, is widely used in China as anti-SARS-CoV-2 and anti-inflammatory. However, the potential targets and mechanisms for QFPD to exert anti-SARS-CoV-2 or anti-inflammatory effects remain unclear.

Methods

In this study, Computer-Aided Drug Design was performed to identify the antiviral or anti-inflammatory components in QFPD and their targets using Discovery Studio 2020 software. We then investigated the mechanisms associated with QFPD for treating COVID-19 with the help of multiple network pharmacology approaches.

Results and discussion

By overlapping the targets of QFPD and COVID-19, we discovered 8 common targets (RBP4, IL1RN, TTR, FYN, SFTPD, TP53, SRPK1, and AKT1) of 62 active components in QFPD. These may represent potential targets for QFPD to exert anti-SARS-CoV-2 or anti-inflammatory effects. The result showed that QFPD might have therapeutic effects on COVID-19 by regulating viral infection, immune and inflammation-related pathways. Our work will promote the development of new drugs for COVID-19.

Integration of network pharmacology and molecular docking to explore the molecular mechanism of Cordycepin in the treatment of Alzheimer's disease

Background

Cordycepin is a nucleoside adenosine analog and an active ingredient isolated from the liquid fermentation of Cordyceps. This study sought to explore the mechanism underlying the therapeutic effect of Cordycepin against Alzheimer's disease using network pharmacology and molecular docking technology.

Methods

TCMSP, SYMMAP, CTD, Super-pred, SEA, GeneCards, DisGeNET database, and STRING platform were used to screen and construct the target and protein interaction network of Cordycepin for Alzheimer's disease. The results of Gene Ontology annotation and KEGG pathway enrichment analysis were obtained based on the DAVID database. The Omicshare database was also applied in GO and KEGG pathway enrichment analysis of the key targets. The protein-protein interaction network was constructed using the STRING database, and the potential effective targets for AD were screened based on the degree values. The correlation between the potential targets of Cordycepin in the treatment of AD and APP, MAPT, and PSEN2 was analyzed using (GEPIA) databases. We obtained potential targets related to aging using the Aging Altas database. Molecular docking analysis was performed by AutoDock Vina and Pymol software. Finally, we validated the significant therapeutic targets in the Gene Expression Omnibus (GEO) database.

Results

A total of 74 potential targets of Cordycepin for treating Alzheimer's disease were identified. The potential targets of Cordycepin for the treatment of AD mainly focused on Lipid and atherosclerosis (hsa05417), Platinum drug resistance (hsa01524), Apoptosis (hsa04210), and Pathways in cancer (hsa05200). Our findings suggest that the therapeutic effect of Cordycepin on AD is primarily associated with these biological processes. We obtained 12 potential therapeutic targets for AD using the degree value in Cytoscape. Interestingly, AKT1, MAPK8, BCL2L1, FOXO3, and CTNNB1 were not only significantly associated with pathogenic genes (APP, MAPT, and PSEN2) but also with longevity in Alzheimer's Disease. Thus we speculated that the five target genes were potential core targets mediating the therapeutic effect of Cordycepin against AD. Moreover, molecular docking results analysis showed good binding affinity between Cordycepin and the five core targets. Overall, MAPK8, FOXO3 and CTNNB1 may have significant clinical and treatment implications.

Conclusion

Network pharmacology demonstrated that Cordycepin exerts a therapeutic effect against Alzheimer's disease via multiple targets and signaling pathways and has huge prospects for application in treating neurodegenerative diseases.

Higher TYROBP and lower SOX6 as predictive biomarkers for poor prognosis of clear cell renal cell carcinoma: A pilot study

BACKGROUND

Clear cell renal carcinoma (ccRCC) is the most common subtype of renal cancer, accounting for approximately 75% of all histological types of renal cancer, and is the leading cause of death from renal cancer. However, the molecular mechanism of tyrosine kinase binding protein (TYROBP) and sex-determining region Y Box-6 (SOX6) in the ccRCC was not precise.

METHODS

Bioinformatics analysis was performed to explore the hub role of TYROBP and SOX6 on the ccRCC. A total of 6 patients with clear cell renal cell carcinoma (ccRCC) were recruited. HE staining was performed to observe the pathology result of ccRCC. Immunohistochemistry and Immunofluorescence assay was made to detect the protein expression of TYROBP. Total RNA was extracted using TRIzol to examine the mRNA expression of TYROBP via the Real time quantitative polymerase chain reaction. The strong correlation between the expression of TYROBP and the survival time of ccRCC patients was performed by the BP neural network and support vector machine.

RESULTS

Compared with the control group, the expression of SOX6 was downregulated in the samples with ccRCC. However, the expression of TYROBP was higher in the samples with ccRCC than in the control group. Compared with the patients with high SOX6 expression, the patients with low SOX6 expression have a poor survival prognosis (HR=0.39, P < .05). However, the patients with high TYROBP expression have a shorter survival time than the patients with low TYROBP expression (HR=1.66, P < .05). The genes related with TYROBP and SOX6 are mainly enriched in the regulation of cell activation, leukocyte activation, negative regulation of cell activation, myeloid leukocyte activation, positive regulation of response to external stimulus, immune response-regulating signaling pathway. The interaction between TYROBP, SOX6, and kidney neoplasms was drawn, and the inference score of TYROBP and SOX6 on the kidney neoplasms was high.

CONCLUSION

In conclusion, TYROBP is highly expressed in renal clear cell carcinoma, and when this molecule is highly expressed, the survival prognosis of renal carcinoma is poor. TYROBP and SOX6 may be potential targets for diagnosing and treating renal clear cell carcinoma.

Myricetin Derivative Targets Cucumber Mosaic Virus 2b Protein to Achieve In Vivo Antiviral Activity in Plants

Cucumber mosaic virus (CMV) 2b protein plays a key role in the process of CMV infecting plants and symptom formation and is a potential molecular target for the control of this important plant virus. The exploitation of antiviral compounds is one of the strategies with the highest input: output ratio in plant protection. In this study, the CMV 2b recombinant protein was cloned, purified, and identified as the target protein by mass spectrometry. Subsequently, we carried out preliminary functional screening of the LP series of myricetin derivatives designed and synthesized in our laboratory and commercial antiviral compounds by microscale thermophoresis (MST), which showed that LP compounds LP4, LP11, LP13, and LP20 interacted well with CMV 2b, with dissociation constant (K_d) values of 1.39, 0.88, 1.52, and 1.77 μM, respectively. Among the commercially available antiviral compounds, ningnanmycin (NNM) was the most active, with a K_d value of 4.09 μM. Then, the strongest binding force to CMV 2b was identified to be from LP11 by isothermal titration calorimetry (ITC) experiments, with a K_d of 1.19 μM. Among the commercial compounds, NNM had the strongest binding force with CMV 2b, with a K_d of 4.62 μM. Through the screening of commercial compounds and LP series compounds by MST and ITC, LP11, NNM (positive control), LP16 (negative control), and the blank control group were selected to test the in vivo impact of LP11 on CMV. Specifically, the screened compounds were sprayed onto CMV-inoculated Nicotiana benthamiana plants to determine their impact on the regulation of CMV pathogenic gene expression, symptoms, and virus titer. The results showed that LP11 had a strong ability to inhibit CMV infection of tobacco at the transcriptional and translational levels. By mutating the CMV 2b protein, the 15th amino acid leucine and the 18th amino acid methionine at the N-terminal region were shown to be potential sites for binding to compound LP11. This finding provided a theoretical basis for screening and developing anti-CMV agents.

The vital role of animal, marine, and microbial natural products against COVID-19

CONTEXT

Since the outbreak of SARS-CoV-2, researchers have been working on finding ways to prevent viral entry and pathogenesis. Drug development from naturally-sourced pharmacological constituents may be a fruitful approach to COVID-19 therapy.

OBJECTIVE

Most of the published literature has focussed on medicinal plants, while less attention has been given to biodiverse sources such as animal, marine, and microbial products. This review focuses on highlighting natural products and their derivatives that have been evaluated for antiviral, anti-inflammatory, and immunomodulatory properties.

METHODS

We searched electronic databases such as PubMed, Scopus, Science Direct and Springer Link to gather raw data from publications up to March 2021, using terms such as 'natural products', marine, micro-organism, and animal, COVID-19. We extracted a number of documented clinical trials of products that were tested in silico, in vitro, and in vivo which paid specific attention to chemical profiles and mechanisms of action.

RESULTS

Various classes of flavonoids, 2 polyphenols, peptides and tannins were found, which exhibit inhibitory properties against viral and host proteins, including 3CLpro, PLpro, S, hACE2, and NF-κB, many of which are in different phases of clinical trials.

DISCUSSION AND CONCLUSIONS

The synergistic effects of logical combinations with different mechanisms of action emphasizes their value in COVID19 management, such as iota carrageenan nasal spray, ermectin oral drops, omega-3 supplementation, and a quadruple treatment of zinc, quercetin, bromelain, and vitamin C. Though in vivo efficacy of these compounds has yet to be established, these bioproducts are potentially useful in counteracting the effects of SARS-CoV-2.

[Prediction of Pathogenesis and Potential Therapeutic Targets for Asthma Based on Proteomics of Mouse Lung Tissue]

Objective To predict the mechanism and potential therapeutic targets of asthma based on proteomic analysis and network pharmacology.Methods The mouse model of asthma was established via intraperitoneal injection of 200 μl suspension containing 100 μg ovalbumin(OVA)and 2 mg aluminum hydroxide and intranasal administration with 5% OVA.Maxquant system was used to retrieve the protein and gene data.The analysis of variance and t test were performed to obtain differential proteins,and then clustering map and target set of differential proteins were established.The protein-protein interaction network of differential proteins was constructed.The pathogenesis of asthma was investigated via gene ontology annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis.Results A total of 5063 genes were identified,from which 904 differentially expressed genes were selected with the thresholds of fold change(model/control)≥2 and P≤0.05 as well as thresholds of fold change(model/control)≤1/2 and P≤0.05.The 904 genes were classified into 3 clusters.The 904 differentially expressed genes included 595 up-regulated genes and 309 down-regulated genes in the model group compared with the control group.The pathogenesis of asthma was associated with regulatory metabolism,Fc gamma-R mediated phagocytosis,leukocyte transendothelial migration,tumor necrosis factor signaling pathway,Toll-like receptor signaling pathway,B cell receptor signaling pathway,phosphoinositol 3-kinase/protein kinase B signaling pathway,vascular smooth muscle contraction and cell adhesion signaling pathway.ITGB3,CYBB,SYK,VWF,ITGB2,MYD88,COMP,VEGFA,and FCGR2B were identified as the therapeutic targets for asthma.Meanwhile,the biological processes such as signal transduction,redox process,immune response,inflammatory response,cell adhesion,positive regulation of GTPase activity,apoptosis,and extracellular matrix formation were the main participants in asthma.Conclusion This study systematically revealed the pathogenesis,biological processes,and 9 potential therapeutic targets of asthma.

Long Intergenic Non-Protein Coding RNA 173 in Human Cancers

Long non-coding RNAs belong to non-coding RNAs (ncRNAs) with a length of more than 200 nucleotides and limited protein-coding ability. Growing research has clarified that dysregulated lncRNAs are correlated with the development of various complex diseases, including cancer. LINC00173 has drawn researchers' attention as one of the recently discovered lncRNAs. Aberrant expression of LINC00173 affects the initiation and progression of human cancers. In the present review, we summarize the recent considerable research on LINC00173 in 11 human cancers. Through the summary of the abnormal expression of LINC00173 and its potential molecular regulation mechanism in cancers, this article indicates that LINC00173 may serve as a potential diagnostic biomarker and a target for drug therapy, thus providing novel clues for future related research.

Identification of the prognostic and immunological roles of aquaporin 4: A potential target for survival and immunotherapy in glioma patients

Recent studies have revealed the critical role of AQP4 in the occurrence and development of gliomas. However, the role of AQP4 in immune regulation has not yet been reported. Many recent reports have identified the lymphatic system's occurrence within the central nervous system (CNS) and the vital role of immune regulation in treating brain tumors. Therefore, the present study aimed to explore the role of AQP4 in the immune regulation of glioma. We used bioinformatics analysis to investigate the immunoregulatory function of AQP4, including its correlation with immunity, anti-tumor immune processes, immunotherapy, immune infiltration, tumor mutational burden (TMB), stemness, mutation, and pan-cancer. The results revealed that AQP4 was significantly associated with the expression of multiple immune checkpoints, immune cells, as well as multiple immune cell effector genes, and antigen presentation and processing abilities. Although no significant correlation was found between the AQP4 gene and IDH mutation and MGMT, AQP4 demonstrated substantial expression differences in different immunophenotypes and molecular types. Using the TTD database, we discovered that EGFR, ABAT, and PDGFRA are strongly associated with AQP4 expression in the glioblastoma (GBM) classification, and these factors could be the potential AQP4-related immunotherapy targets. Afterward, we screened the differential genes in the high and low AQP4 gene expression group, the high and low immune score group, and the high and low matrix score group and took the intersection as the candidate factor. Finally, univariate Cox analysis was used to find eight prognostic variables with significant differences across the candidate genes. After lasso dimensionality reduction, three genes built the model (RARRES1, SOCS3, and TTYH1). The scoring model generated by the three genes was eventually obtained after the multi-factor screening of the three genes. Finally, combined with clinical information and cox regression analysis, it was further confirmed that the model score could be used as an independent prognostic factor.