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Ribosomes frequently stall during mRNA translation, resulting in the context-dependent activation of quality control pathways to maintain proteostasis. However, surveillance mechanisms that specifically respond to stalled ribosomes with an occluded A site have not been identified. We discovered that the elongation factor-1α (eEF1A) inhibitor, ternatin-4, triggers the ubiquitination and degradation of eEF1A on stalled ribosomes. Using a chemical genetic approach, we unveiled a signaling network comprising two E3 ligases, RNF14 and RNF25, which are required for eEF1A degradation. Quantitative proteomics revealed the RNF14 and RNF25-dependent ubiquitination of eEF1A and a discrete set of ribosomal proteins. The ribosome collision sensor GCN1 plays an essential role by engaging RNF14, which directly ubiquitinates eEF1A. The site-specific, RNF25-dependent ubiquitination of the ribosomal protein RPS27A/eS31 provides a second essential signaling input. Our findings illuminate a ubiquitin signaling network that monitors the ribosomal A site and promotes the degradation of stalled translation factors, including eEF1A and the termination factor eRF1.

Ternatin-family cyclic peptides inhibit protein synthesis by targeting the eukaryotic elongation factor-1α. A potentially related cytotoxic natural product ('A3') was isolated from Aspergillus, but only 4 of its 11 stereocentres could be assigned. Here, we synthesized SR-A3 and SS-A3-two out of 128 possible A3 epimers-and discovered that synthetic SR-A3 is indistinguishable from naturally derived A3. Relative to SS-A3, SR-A3 exhibits an enhanced residence time and rebinding kinetics, as revealed by single-molecule fluorescence imaging of elongation reactions catalysed by eukaryotic elongation factor-1α in vitro. An increased residence time-stereospecifically conferred by the unique β-hydroxyl in SR-A3-was also observed in cells. Consistent with its prolonged duration of action, thrice-weekly dosing with SR-A3 led to a reduced tumour burden and increased survival in an aggressive Myc-driven mouse lymphoma model. Our results demonstrate the potential of SR-A3 as a cancer therapeutic and exemplify an evolutionary mechanism for enhancing cyclic peptide binding kinetics via stereospecific side-chain hydroxylation.

A newly described coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efficacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and efforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins that physically associated with each of the SARS-CoV-2 proteins using affinity-purification mass spectrometry, identifying 332 high-confidence protein-protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 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.

Background: Multiple myeloma (MM) is known for its immune disturbance and patients suffering from MM are thus vulnerable to opportunistic infections, including herpes zoster (HZ). As HZ infection remarkably affects patients' quality of life and poses huge economic burdens on the health system, we aim to identify the risk factors of HZ infection and evaluate the effects of different dosages, types, and durations of anti‐HZ prophylaxis drugs to prevent HZ infection. Methods: 551 MM patients at Taipei Veterans General Hospital in Taiwan between January 1, 2009 and August 31, 2021 were restrospectively analyzed. The patients' baseline characteristics were recorded. The primary endpoint of the study was the incidence of HZ infection among the studied patient population. Due to the lack of cost coverage from Taiwanese public health insurance on HZ prophylaxis drugs, the use of anti‐HZ drugs mainly depends on physicians' preferences and patients' choices. Results: In our study, prophylaxis was given to 283 of the patients. In the multivariate analysis, we included non‐prophylaxis, age ≥ 60, corrected serum calcium ≥12 mg/dl, serum creatinine ≥2 mg/dl, serum β2‐microglobulin ≥5500 mg/L, autologous stem cell transplant (SCT), and allogeneic SCT for analysis. Our results demonstrated that the non‐prophylaxis group (HR: 2.37, 95% CI 1.57–3.57) and patients receiving autologous SCT (HR: 2.22, 95% CI 1.28–3.86) and allogeneic SCT (HR: 5.12, 95% CI 1.13–23.22) had higher risk of HZ infection. The difference in dosage and types of anti‐HZ drugs showed similar protective effects. In patients who stopped anti‐HZ prophylaxis before active cancer‐related treatment, a higher risk of getting HZ infection compared to the corresponding group was also observed (adjusted HR 3.09, 95% CI 1.35–7.07, p = 0.008). Conclusions: We concluded that MM patients should receive HZ prophylaxis drugs while receiving active cancer‐related treatment. Patients receiving SCT are also at high risk of getting HZ infection, even under prophylaxis. [ABSTRACT FROM AUTHOR]

Hemophagocytic lymphohistiocytosis (HLH) is a heterogeneous group of hyperinflammatory statuses that are difficult to diagnose and can be life‐threatening. Bone marrow (BM) hemophagocytosis is one of the diagnostic criteria according to HLH 2004 diagnostic criteria and HS score. Limited studies have focused on the prognostic factors of BM hemophagocytosis and its association with hematologic malignancies. We aimed to analyze the clinical significance of BM hemophagocytosis. Patients with BM hemophagocytosis, either by cytology or pathology, were enrolled at Taipei Veterans General Hospital from January 2002 to July 2021. Relevant clinical and laboratory data were extracted from medical records. Of 119 patients with BM hemophagocytosis, 57 were diagnosed with hematologic malignancies. The median age of the patients was 58, ranging from 21 to 90. Splenomegaly (adjusted odds ratio [aOR] 2.96; 95% confidence interval [CI] 1.13–7.79) was a risk factor for hematologic malignancies, while autoimmune disease (aOR 0.07; 95% CI 0.01–0.39) and increased D‐dimer (aOR 0.25; 95% CI 0.07–0.92) were protective factors. Risk factors for mortality in patients with BM hemophagocytosis were hematologic malignancies (adjusted hazard ratio [aHR] 2.34; 95% CI 1.24–4.44), Eastern Cooperative Oncology Group score ≥3 (aHR 2.42; 95% CI 1.20–4.89) and thrombocytopenia (aHR 3.09; 95% CI 1.04–9.16). In conclusion, among patients with BM hemophagocytosis, splenomegaly was a predictor of hematologic malignancies. Patients with hematologic malignancies, poor performance status, or thrombocytopenia had a higher mortality risk. Further validation studies are warranted. [ABSTRACT FROM AUTHOR]

Introduction: Autologous hematopoietic stem cell transplantation (ASCT) is a well-established treatment for patients with multiple myeloma (MM), and adequate stem cell collection must be assured before ASCT. However, prediction of poor mobilizers (PMs) is still difficult despite several risk factors for mobilization failure having been identified. Methods: We retrospectively analyzed MM patients at Taipei Veterans General Hospital in Taiwan who underwent stem cell collection between October 2006 and August 2020. A CD34+ cell collection of <1 × 106 cells/kg was defined as a mobilization failure. The primary endpoint was mobilization failure. The secondary endpoint was overall survival (OS). Odds ratios (ORs) and 95% confidence intervals (CIs) for mobilization failure were calculated using a logistic regression model. The cumulative incidence of mortality was estimated using the Kaplan-Meier method. Results: In the multivariate analysis, absolute monocyte count <500/µL (adjusted OR 10.75, 95% CI: 1.82–63.57, p = 0.009), platelet count <150,000/µL (adjusted OR 12.49, 95% CI: 2.65–58.89, p = 0.001) before mobilization, and time interval from diagnosis to stem cell harvest ≥180 days (adjusted OR 7.69, 95% CI: 1.61–36.87, p = 0.011) were risk factors for PMs. PM patients had poorer OS compared to patients with successful stem cell collection in the univariate analysis (log-rank test p = 0.027). The predicted probability of PMs was estimated by the multiple logistic regression model with a sensitivity of 84.6% and a specificity of 84.0%. Conclusion: Absolute monocyte count <500/µL, platelet count <150,000/µL, and treatment duration more than 180 days before stem cell mobilization are risk factors for unsuccessful stem cell collection. Our prediction models have high sensitivity and specificity for mobilization failure prediction and allow for early interventions for possible PMs. [ABSTRACT FROM AUTHOR]