The novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 2.3 million people, killed over 160,000, and caused worldwide social and economic disruption 1,2 . There are currently no antiviral drugs with proven clinical efficacy, nor are there vaccines for its prevention, and these efforts are hampered by limited knowledge of the molecular details of SARS-CoV-2 infection. To address this, we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins physically associated with each using affinity-purification mass spectrometry (AP-MS), identifying 332 high-confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (29 FDA-approved drugs, 12 drugs in clinical trials, and 28 preclinical compounds). Screening a subset of these in multiple viral assays identified two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the Sigma1 and Sigma2 receptors. Further studies of these host factor targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19.

Doubled up: a rhodium(III)/copper(II) system co-catalyzes the annulation of benzimides with internal alkynes for the synthesis of indenones (see scheme; Cp*=C(5) Me(5)). The reaction involves an uncommon nucleophilic addition of a transition-metal-carbon bond to an imide moiety. This novel reaction provides a facile route to synthesize indenones from readily available benzimides and internal alkynes.

BackgroundMutations in isocitrate dehydrogenase 1 (IDH1) and isocitrate dehydrogenase 2 (IDH2) are frequent in low-grade gliomas and secondary glioblastomas (sGBM). Because they yield the same oncometabolite, D-2-hydroxyglutarate, they are often treated as equivalent and pooled. The objective of this study was to provide insight into the differences between IDH1 and IDH2 mutant gliomas.MethodsTo investigate the different clinical and molecular characterization between IDH1 mutant and IDH2 mutant gliomas, we studied 811 patients with IDH1 mutations, IDH2 mutations and IDH1/2 wild-type. In addition, whole-transcriptome sequencing and DNA methylation data were used to assess the distribution of genetic changes in IDH1 and IDH2 mutant gliomas in a Chinese population-based cohort.ResultsAmong 811 gliomas in our cohort, 448 cases (55.2 %) harbored an IDH1 mutation, 18 cases (2.2 %) harbored an IDH2 mutation and 345 cases (42.6 %) harbored an IDH1/2 wild-type. We found that IDH1 and IDH2 are mutually exclusive in gliomas, and IDH2 mutations are mutually exclusive with PTEN, P53 and ATRX mutations. Patients with IDH2 mutations had a higher frequency of 1p/19q co-deletion (p < 0.05) than IDH1 mutant patients. In addition, a Gene Set Enrichment Analysis (GSEA) showed that IDH2 mutant gliomas were associated with the oxidative phosphorylation gene set, and the four most representative biological processes for genes commonly altered by hypermethylation in IDH2 mutant gliomas were the regulation of cell proliferation, cell motion, cell migration and response to hypoxia. Patients with IDH2 mutant gliomas exhibited longer Overall survival (OS) (p < 0.05) and longer Progression-free survival (PFS) (p < 0.05) than patients with IDH1/2 wild-type gliomas. However, their OS and PFS did not differ from that of IDH1 mutant patients.ConclusionsOur study revealed an intrinsic distinction between IDH1 and IDH2 mutant gliomas, and these mutations should be considered separately because their differences could have implications for the diagnosis and treatment of IDH1/2 mutant gliomas.

A highly stereoselective dynamic kinetic isomerization of Achmatowicz rearrangement products was discovered. This new internal redox isomerization provided ready access to key intermediates for the enantio- and diastereoselective synthesis of a series of naturally occurring sugars. The nature of the de novo synthesis also enables the preparation of both enantiomers.

Increasing evidence suggests that ion channel genes play an important role in the progression of gliomas. However, the mechanisms by which ion channel genes influence the progression of glioma are not fully understood. We identified KCNB1 as a novel ion gene, associated with malignant progression and favorable overall survival (OS) and progression-free survival (PFS) in glioma patients from three datasets (CGGA, GSE16011 and REMBRANDT). Moreover, we characterized a novel function of autophagy induction accompanied by increased apoptosis and reduced proliferation and invasion of glioma cells for KCNB1. KEGG pathway analysis and in vitro studies suggested that the ERK pathway is involved in KCNB1-mediated regulation of autophagy, which was confirmed by inhibition of KCNB1-induced autophagy by using a selective ERK1/2 inhibitor (U0126) or siERK1/2. In vivo studies showed that KCNB1 induced autophagy while inhibiting tumor growth and increasing survival. Overall, our studies define KCNB1 as a novel prognostic factor for gliomas that exerts its tumor suppressive function through autophagy induction.

Carbohydrates play a significant role in numerous biological events, and the chemical synthesis of carbohydrates is vital for further studies to understand their various biological functions. Due to the structural complexity of carbohydrates, the stereoselective formation of glycosidic linkages and the site-selective modification of hydroxyl groups are very challenging and at the same time extremely important. In recent years, the rapid development of chiral reagents including both chiral auxiliaries and chiral catalysts has significantly improved the stereoselectivity for glycosylation reactions and the site-selectivity for the modification of carbohydrates. These new tools will greatly facilitate the efficient synthesis of oligosaccharides, polysaccharides, and glycoconjugates. In this tutorial review, we will summarize these advances and highlight the most recent examples.

Naturally occurring cinchona alkaloids include quinine, quinidine, cinchonine, and cinchonidine. Many of their derivatives are also readily available. This Focus Review summarizes recent applications of cinchona alkaloid derivatives, an important class of organocatalysts, in enantioselective halofunctionalization of alkenes and alkynes. Most successful examples in this area are intramolecular halofunctionalizations, where the nucleophile is tethered with the alkene or alkyne substrate. Only a few catalytic enantioselective intermolecular halofunctionalization of alkenes have been realized. Dimeric cinchona alkaloids are the most frequently used catalysts in asymmetric halofunctionalizations. Most other catalysts have an appended functional group on the C9 position of the cinchona alkaloids. These functional groups include (thio)urea, thiocarbamate, and sulfonamides.

Background Although various prognostic models for primary central nervous system lymphoma (PCNSL) have been developed, there is no consensus regarding the optimal prognostic index. We aimed to evaluate potential prognostic factors and construct a novel predictive model for PCNSL patients. Methods We enrolled newly diagnosed PCNSL patients between 2003 and 2015. The primary endpoint was progression‐free survival (PFS), and the secondary endpoint was overall survival (OS). The prognostic factors identified using multivariate Cox proportional hazards models were used to develop a predictive model. We subsequently validated the prognostic model in an independent cohort. We also evaluated the validity of the existing scores: the International Extranodal Lymphoma Study Group (IELSG), the Nottingham/Barcelona (NB), and the Memorial Sloan‐Kettering Cancer Center models (MSKCC). Results We identified 101 patients with newly diagnosed PCNSL at our center. Multivariate analysis showed that age ≥80, deep brain lesions, and ECOG ≥2 were independent risk factors of PFS. Assigning one point for each factor, we constructed a novel prognostic model, the Taipei Score, with four distinct risk groups (0‐3 points). The performances of the Taipei Score in discriminating both PFS and OS in the training cohort were significant, and the score was validated in the external validation cohort. The IELSG, NB and MSKCC models had insufficient discriminative ability for either PFS or OS in both cohorts. Conclusion The Taipei Score is a simple model that discriminates PFS and OS for PCNSL patients. The score may offer disease risk stratification and facilitate clinical decision‐making.