Citations

Abstract Branched-chain amino acid transaminase 1 (BCAT1) is upregulated selectively in human isocitrate dehydrogenase (IDH) wildtype (WT) but not mutant glioblastoma multiforme (GBM) and promotes IDHWT GBM growth. Through a metabolic synthetic lethal screen, we report here that α-ketoglutarate (AKG) kills IDHWT GBM cells when BCAT1 protein is lost, which is reversed by reexpression of BCAT1 or supplementation with branched-chain α-ketoacids (BCKA), downstream metabolic products of BCAT1. In patient-derived IDHWT GBM tumors in vitro and in vivo, cotreatment of BCAT1 inhibitor gabapentin and AKG resulted in synthetic lethality. However, AKG failed to evoke a synthetic lethal effect with loss of BCAT2, BCKDHA, or GPT2 in IDHWT GBM cells. Mechanistically, loss of BCAT1 increased the NAD+/NADH ratio but impaired oxidative phosphorylation, mTORC1 activity, and nucleotide biosynthesis. These metabolic alterations were synergistically augmented by AKG treatment, thereby causing mitochondrial dysfunction and depletion of cellular building blocks, including ATP, nucleotides, and proteins. Partial restoration of ATP, nucleotides, proteins, and mTORC1 activity by BCKA supplementation prevented IDHWT GBM cell death conferred by the combination of BCAT1 loss and AKG. These findings define a targetable metabolic vulnerability in the most common subset of GBM that is currently incurable. Significance: Metabolic synthetic lethal screening in IDHWT glioblastoma defines a vulnerability to ΑΚG following BCAT1 loss, uncovering a therapeutic strategy to improve glioblastoma treatment. See related commentary by Meurs and Nagrath, p. 2354

Abstract Although costimulatory molecules have been shown to boost antitumor immune responses, their significance in stomach adenocarcinoma (STAD) is unknown. The purpose of this study was to examine the gene expression patterns of costimulatory molecule genes in STAD and to develop a predictive signature to aid in therapy selection and outcome prediction. We used 60 costimulatory family genes from prior research to conduct the first complete costimulatory molecule analysis in STAD patients. For the two groups discovered, consensus clustering analysis based on these 60 genes indicated unique distribution patterns and prognostic differences. Then, using Lasso and Cox regression analysis, 9 costimulatory molecular gene pairs (CMGPs) of prognostic value were discovered. With these 9 CMGPs, we were able to develop a costimulatory molecule-related prognostic signature, which performed well in an external dataset. For STAD patients, the signature was proved to be a risk factor independent of clinical characteristics, indicating that this may be employed in conjunction with clinical considerations. An further connection between the signature and immunotherapy response was discovered. People who had high mutation rates, an abundance of infiltrating immune cells, and an immunosuppressive milieu were classed as high-risk. It is possible that patients classed as high-risk have a better prognosis for immunotherapy since these patients have greater cytolytic activity scores and immunophenoscores of CTLA4 and PD-L1/PD-L2 blocker As a consequence, clinicians might use our signature to better assess patient prognosis and develop treatment plans.

Abstract Background: Chronic non-specific low back pain (CNLBP) is a common complaint about medical care and carries a heavy social burden. The efficacy of Tuina (TN) or physiotherapy (PT) for CNLBP has been evaluated in previous systematic reviews. However, there is no high-quality evidence to support the efficacy of Tuina. Therefore, this study aims to conduct a large-scale, multicenter, high-quality clinical trial to provide evidence for Tuina to treat CNLBP. Methods: This is a multicenter, assessor-, and analyst-blinded, randomized controlled trial with 3 parallel arms: TN, PT, and TN combined with PT (Tuina combined with physiotherapy) group. Six hundred twelve eligible CNLBP patients will be randomly assigned to the groups in a 1:1:1 ratio in 3 centers. The TN intervention includes 9-step routine techniques, while the PT intervention includes a physiotherapy treatment plan based on a patient's symptoms. The interventions for both groups will last for 30 minutes and will be carried out for 6 sessions in 8 weeks. The primary outcome will be the visual analog scale pain score. And the secondary outcomes will include the Oswestry Disability Index, spinal range of motion, 36-item short-form health survey. Safety evaluation will be recorded during the whole study. All data in this randomized controlled trial will be analyzed by SAS 9.4. Discussion: The results of this trial will provide evidence to evaluate the efficacy of Tuina's value as a treatment for CNLBP. Trial registration: Chinese Clinical Trial Registry (ChiCTR2000040288, November 27, 2020).

Abstract Objective . Ultrasound attenuation coefficient estimation (ACE) has diagnostic potential for clinical applications such as quantifying fat content in the liver. Previously, we have proposed a system-independent ACE technique based on spectral normalization of different frequencies, called the reference frequency method (RFM). This technique does not require a well-calibrated reference phantom for normalization. However, this method may be vulnerable to severe reverberation clutter introduced by the body wall. The clutter superimposed on liver echoes may bias the estimation. Approach . We proposed to use robust principal component analysis, combined with wavelet-based sparsity promotion, to suppress the severe reverberation clutters. The capability to mitigate the reverberation clutters was validated through phantom and in vivo studies. Main Results . In the phantom studies with added reverberation clutters, higher normalized cross-correlation and smaller mean absolute errors were attained as compared to RFM results without the proposed method, demonstrating the capability to reconstruct tissue signals from reverberations. In a pilot patient study, the correlation between ACE and proton density fat fraction (PDFF), a measurement of liver fat by MRI as a reference standard, was investigated. The proposed method showed an improvement of the correlation (coefficient of determination, R = 0.82) as compared with the counterpart without the proposed method ( R = 0.69). Significance : The proposed method showed the feasibility of suppressing the reverberation clutters, providing an important basis for the development of a robust ACE with large reverberation clutters.

Background: Multifocal ectopic Purkinje-related premature contractions (MEPPC), the most recent addition to the spectrum of SCN5A -mediated cardiac channelopathies, is characterized by frequent premature ventricular complexes (PVCs) originating from the Purkinje system, atrial arrhythmias, and a predilection for PVC-mediated dilated cardiomyopathy. MEPPC-causative variants tend to cluster within the voltage sensing domain (VSD) of Na v 1.5. Objective: To describe the clinical and cellular electrophysiological phenotype associated with a novel, putative MEPPC-causative SCN5A variant (p.Gln419Pro-SCN5A) that resides outside the VSD of Na v 1.5. Methods: p.Gln419Pro-SCN5A was identified in a 21-year-old male with a history of frequent, multifocal PVCs and atrial tachycardia. Subsequently, three p.Gln419Pro-SCN5A-positive relatives, each with early onset atrial arrhythmias and/or frequent, multifocal PVCs, were identified. All individuals had structurally normal hearts by echocardiography and/or cardiac magnetic resonance imaging. p.Gln419Pro-SCN5A was engineered by site directed mutagenesis and heterologously expressed in TSA201 cells. The standard whole-cell patch clamp technique was used to measure SCN5A wild-type (WT) and p.Gln419Pro-SCN5A sodium currents. Results: Analysis of the current-voltage relationship revealed that neither peak sodium current densities nor late inward sodium current were impacted by p.Gln419Pro-SCN5A. However, p.Gln419Pro-SCN5A significantly shifted V 1/2 in inactivation by -4.6 mV from -84.5±0.7 mV (WT, n=10) to -89.1±0.4 mV (Gln419Pro, n=12, p<0.05 vs. WT) and V 1/2 in activation by -11.6 mV from -30.9±1.3 mV (WT, n=10) to -42.5±1.0 mV (Gln419Pro, n=12, p<0.05 vs. WT) leading to a larger hyperpolarized window current. Flecainide dramatically reduced PVC burden in p.Gln419Pro-SCN5A-positive patients. Conclusions: p.Gln419Pro-SCN5A represents only the fifth MEPPC-causative variant described to date and the first associated with a classic MEPPC phenotype localizing outside Na v 1.5’s VSD. As class I antiarrhythmic drugs are highly efficacious in MEPPC, this clinical entity merits consideration in all young patients found to have a high burden of Purkinje-related PVCs.

Asthma is a chronic inflammatory lung disease with intermittent flares predominately mediated through memory T cells. Yet, the identity of long-term memory cells that mediate allergic recall responses is not well defined. In this report, using a mouse model of chronic allergen exposure followed by an allergen-free rest period, we characterized a subpopulation of CD4 + T cells that secreted IL-9 as an obligate effector cytokine. IL-9–secreting cells had a resident memory T cell phenotype, and blocking IL-9 during a recall challenge or deleting IL-9 from T cells significantly diminished airway inflammation and airway hyperreactivity. T cells secreted IL-9 in an allergen recall–specific manner, and secretion was amplified by IL-33. Using scRNA-seq and scATAC-seq, we defined the cellular identity of a distinct population of T cells with a proallergic cytokine pattern. Thus, in a recall model of allergic airway inflammation, IL-9 secretion from a multicytokine-producing CD4 + T cell population was required for an allergen recall response.

Abstract Glycolysis is essential for the classical activation of macrophages (M1), but how glycolytic pathway metabolites engage in this process remains to be elucidated. Glycolysis culminates in the production of pyruvate, which can be transported into the mitochondria by the mitochondrial pyruvate carrier (MPC) followed by conversion to citrate and utilization in the TCA cycle. Alternatively, pyruvate can be metabolized to lactate under aerobic conditions, which had been considered to be the dominant route in the setting of classical macrophage activation. However, based on studies that used UK5099 as a MPC inhibitor and showed reduction in key inflammatory cytokines, the mitochondrial route has been considered to be of significance for M1 activation as well. Herein, using a genetic depletion model, we found that MPC is dispensable for metabolic reprogramming and the activation of M1. In addition, MPC depletion in myeloid cells has no impact on inflammatory responses and macrophage polarization toward M1 phenotype in the endotoxemia mice model. While UK5099 reaches maximal MPC inhibitory capacity at approximately 2–5µM, higher concentrations are required to inhibit inflammatory cytokine production in M1 and this is independent of MPC expression. Taken together, this study found MPC-mediated metabolism is dispensable for the classical activation of macrophages, and UK5099 inhibits inflammatory responses in M1 macrophages due to effects other than MPC inhibition.

Abstract Objective Accurate extraction of breast cancer patients’ phenotypes is important for clinical decision support and clinical research. This study developed and evaluated cancer domain pretrained CancerBERT models for extracting breast cancer phenotypes from clinical texts. We also investigated the effect of customized cancer-related vocabulary on the performance of CancerBERT models. Materials and Methods A cancer-related corpus of breast cancer patients was extracted from the electronic health records of a local hospital. We annotated named entities in 200 pathology reports and 50 clinical notes for 8 cancer phenotypes for fine-tuning and evaluation. We kept pretraining the BlueBERT model on the cancer corpus with expanded vocabularies (using both term frequency-based and manually reviewed methods) to obtain CancerBERT models. The CancerBERT models were evaluated and compared with other baseline models on the cancer phenotype extraction task. Results All CancerBERT models outperformed all other models on the cancer phenotyping NER task. Both CancerBERT models with customized vocabularies outperformed the CancerBERT with the original BERT vocabulary. The CancerBERT model with manually reviewed customized vocabulary achieved the best performance with macro F1 scores equal to 0.876 (95% CI, 0.873–0.879) and 0.904 (95% CI, 0.902–0.906) for exact match and lenient match, respectively. Conclusions The CancerBERT models were developed to extract the cancer phenotypes in clinical notes and pathology reports. The results validated that using customized vocabulary may further improve the performances of domain specific BERT models in clinical NLP tasks. The CancerBERT models developed in the study would further help clinical decision support.