Saddouk et al. report that, in established pulmonary hypertension, endothelial production of platelet-derived growth factor B is required for survival of pathological distal arteriole smooth muscle cells via the autophagy initiator Beclin1, thereby sustaining hemodynamic abnormalities. The cover image of the murine lung shows enhanced staining for proapoptotic marker activated BAX (red) in pulmonary arteriole smooth muscle cells (green) with deletion of Beclin1. Image credit: Fatima Z. Saddouk and Junichi Saito.
Patients with autoimmune diseases are at higher risk for severe infection due to their underlying disease and immunosuppressive treatments. In this real-world observational study of 463 autoimmune subjects, we examined risk factors for poor B and T cell responses to SARS-CoV-2 vaccination. We show a high frequency of inadequate anti-spike IgG responses to vaccination and boosting in the autoimmune population but minimal suppression of T cell responses. Low IgG responses in B cell–depleted multiple sclerosis (MS) subjects were associated with higher CD8 T cell responses. By contrast, subjects taking mycophenolate mofetil exhibited concordant suppression of B and T cell responses. Treatments with highest risk for low IgG anti-spike response included B cell depletion within the last year, fingolimod, and combination treatment with mycophenolate mofetil (MMF) and belimumab. Our data show that the mRNA-1273 (Moderna) vaccine, is the most effective vaccine in the autoimmune population. There was minimal induction of either disease flares or autoantibodies by vaccination and no significant effect of pre-existing anti-type I interferon antibodies on either vaccine response or breakthrough infections. The low frequency of breakthrough infections and lack of SARS-CoV-2–related deaths suggest that T cell immunity contributes to protection in autoimmune disease.
Erik Anderson, Michael Powell, Emily Yang, Ananya Kar, Tung Ming Leung, Cristina Sison, Rebecca Steinberg, Raven Mims, Ananya Choudhury, Carlo Espinosa, Joshua Zelmanovich, Nkemakonam C. Okoye, Eun Jung Choi, Galina Marder, Sonali Narain, Peter K. Gregersen, Meggan Mackay, Betty Diamond, Todd Levy, Theodoros P. Zanos, Arezou Khosroshahi, Ignacio Sanz, Eline T. Luning Prak, Amit Bar-Or, Joan Merrill, Cristina Arriens, Gabriel Pardo, Joel Guthridge, Judith James, Aimee Payne, Paul J. Utz, Jeremy M. Boss, Cynthia Aranow, Anne Davidson
The non-physiological nutrient levels found in traditional culture media have been shown to affect numerous aspects of cancer cell physiology, including how cells respond to certain therapeutic agents. Here, we comprehensively evaluated how physiological nutrient levels impact therapeutic response by performing drug screening in human plasma-like medium (HPLM). We observed dramatic nutrient-dependent changes in sensitivity to a variety of FDA-approved and clinically trialed compounds including rigosertib, an experimental cancer therapeutic that has recently failed in phase 3 clinical trials. Mechanistically, we found that the ability of rigosertib to destabilize microtubules is strongly inhibited by the purine metabolism end product uric acid, which is uniquely abundant in humans relative to traditional in vitro and in vivo cancer models. These results demonstrate the broad and dramatic effects nutrient levels can have on drug response, and how incorporation of human-specific physiological nutrient media might help to identify compounds whose efficacy could be impacted in humans.
Vipin Rawat, Patrick DeLear, Prarthana Prashanth, Mete Emir Ozgurses, Anteneh Tebeje, Philippa A. Burns, Kelly O. Conger, Christopher Solís, Yasir Hasnain, Anna Novikova, Jennifer E. Endress, Paloma González-Sánchez, Wentao Dong, Greg Stephanopoulos, Gina M. DeNicola, Isaac Harris, David Sept, Frank M. Mason, Jonathan L. Coloff
Influenza poses a persistent health burden worldwide. To design equitable vaccines effective across all demographics, it is essential to better understand how host factors such as genetic background and aging affect the single-cell immune landscape of influenza infection. Cytometry by time-of-flight (CyTOF) represents a promising technique in this pursuit, but interpreting its large, high-dimensional data remains difficult. We’ve developed a new analytical approach iGATE (in-silico gating annotating training elucidating) based on probabilistic support vector machine classification. By rapidly and accurately “gating” tens of millions of cells in silico into user-defined types, iGATE enabled us to track 25 canonical immune cell types in mouse lung over the course of influenza infection. Applying iGATE to study effects of host genetic background, we show that the lower survival of C57BL/6 mice compared to BALB/c is associated with a more rapid accumulation of inflammatory cell types and decreased IL-10 expression. Further, we demonstrate that the most prominent effect of aging is a defective T-cell response, reducing survival of aged mice. Finally, iGATE reveals that the 25 canonical immune cell types exhibit differential influenza infection susceptibility and replication permissiveness in vivo, but neither property varies with host genotype or aging. Software is available at https://github.com/UmichWenLab/iGATE.
Brett D. Hill, Andrew J. Zak, Sanjeev Raja, Luke F. Bugada, Syed M. Rizvi, Saiful B. Roslan, Hong Nhi Nguyen, Judy Chen, Hui Jiang, Akira Ono, Daniel R. Goldstein, Fei Wen
BACKGROUND. Identifying patients with acute kidney injury (AKI) who are at higher risk of chronic kidney disease (CKD) progression at time of AKI diagnosis remains a major challenge in clinical practice. METHODS. Kidney transcriptome sequencing was applied to identify the top up-regulated genes in mice with AKI. The product of the top-ranked gene was identified in the tubular cells and urine both in mouse and human AKI. Data from two cohorts of patients with a prehospitalization estimated glomerular filtration rate (eGFR) ≥ 45 ml/min/1.73m2 who survived for at least 90 days after AKI were used to derive and validate multivariable prediction models. AKI to CKD progression was defined as a persistent eGFR < 60 ml/min/1.73m2 and with a minimum 25% reduction from baseline eGFR 90 days after AKI in patients with prehospitalization eGFR ≥ 60 ml/min/1.73m2. AKI to advanced CKD was defined by a sustained reduction of eGFR < 30 ml/min/1.73m2 90 days after AKI in those with prehospitalization eGFR 45–60 ml/min/1.73m2. RESULTS. Kidney cytokeratin 20 (CK20) was up-regulated in injured proximal tubular cells and detectable in urine within 7 days after AKI. High concentrations of urinary CK20 (uCK20) were independently associated with the severity of histological AKI and the risk of AKI to CKD or advanced CKD progression. In Test set, the AUC of uCK20 for predicting AKI to CKD or advanced CKD was 0.80, outperformed currently used biomarkers for detecting kidney tubular injury. Addition of uCK20 to an established clinical model improved the ability for predicting AKI-CKD progression with an AUC of 0.90, and largely improved the risk reclassification. CONCLUSION. This finding highlighted uCK20 as a useful predictor for AKI to CKD progression, and may provide a tool to early identify patients at high risk of CKD following AKI. FUNDING. The National Natural Science Foundation of China (Key Program).
Rui Ma, Han Ouyang, Shihong Meng, Jun Liu, Jianwei Tian, Nan Jia, Youhua Liu, Xin Xu, Xiaobing Yang, Fan Fan Hou
Tumor evolution is driven by genetic variation; however, it is the tumor microenvironment (TME) that provides the selective pressure contributing to evolution in cancer. Despite high histopathological heterogeneity within glioblastoma (GBM), the most aggressive brain tumor, the interactions between the genetically distinct GBM cells and the surrounding TME are not fully understood. To address this, we analyzed matched primary and recurrent GBM archival tumor tissues with imaging-based techniques aimed to simultaneously evaluate tumor tissues for presence of hypoxic, angiogenic, and inflammatory niches, extracellular matrix organization, TERT promoter mutational status, and several oncogenic amplifications on the same slide and location. We found that the relationships between genetic and TME diversity are different in primary and matched recurrent tumors. Interestingly, the texture of the extracellular matrix (ECM), identified by label-free reflectance imaging, was predictive of single-cell genetic traits present in the tissue. Moreover, reflectance of ECM revealed structured organization of the perivascular niche in recurrent GBM, enriched in immunosuppressive macrophages. Single-cell spatial transcriptomics further confirmed the presence of the niche-specific macrophage populations and identified interactions between endothelial cells, perivascular fibroblasts, and immunosuppressive macrophages. Our results underscore the importance of GBM tissue organization in tumor evolution and highlight novel genetic and spatial dependencies.
Ugoma Onubogu, Chandler D. Gatenbee, Sandhya Prabhakaran, Kelsey Wolfe, Benjamin Oakes, Roberto Salatino, Rachael Vaubel, Oszkar Szentirmai, Alexander R. A. Anderson, Michalina Janiszewska