Clinical Research and Public Health
Abstract
BACKGROUND. Immune checkpoint inhibitors have modest activity in ovarian cancer (OC). To augment their activity, we used priming with a hypomethylating agent guadecitabine in a phase II study. METHODS. Eligible patients had platinum-resistant OC, normal organ function, measurable disease, and up to 5 prior regimens. Treatment was guadecitabine 30mg/m2 days 1-4, and pembrolizumab 200mg iv day 5, every 21 days. The primary endpoint was response rate. Tumor biopsies, plasma, and PBMCs were obtained at baseline and after treatment. RESULTS. Among 35 evaluable patients, there were 3 partial responses (8.6%) and 8 (22.9%) patients with stable disease, resulting in clinical benefit rate (CBR) of 31.4% (95% CI: 16.9 – 49.3%). Median duration of clinical benefit was 6.8 months. Long-interspersed element-1 (LINE1) was hypomethylated in post-treatment PBMCs; methylomic and transcriptomic analyses showed activation of anti-tumor immunity in post-treatment biopsies. High dimensional immune profiling of PBMCs showed higher frequency of naive and/or central memory CD4+ T cells, and of classical monocytes in patients with durable CBR. Higher baseline density of CD8+ T and CD20+ B cells and presence of tertiary lymphoid structures in tumors were associated with durable CBR. CONCLUSION. Epigenetic priming using a hypomethylating agent with an immune check point inhibitor was feasible and induced durable clinical benefit associated to immune responses in selected patients with recurrent ovarian cancer. TRIAL REGISTRATION. ClinicalTrials.gov registration number: NCT02901899. FUNDING. USAMRMC/CDMRP W81XWH170141 (to DM and BZ), the Diana Princess of Wales endowed Professorship and LCCTRAC funds from the Robert H. Lurie Comprehensive Cancer Center (to DM), the Walter S. and Lucienne Driskill Immunotherapy Research funds (to BZ), Astex Pharmaceutical, Inc., Merck & Co., Inc., NCI CCSG P30 CA060553 (to the Robert H. Lurie Comprehensive Cancer Center), NCI CCSG P30 CA060553 (to NUSeq Core facility), NCI CA060553 (to NU Flow Cytometry Core Facility).
Authors
Siqi Chen, Ping Xie, Matthew Cowan, Hao Huang, Horacio Cardenas, Russell Keathley, Edward J. Tanner, Gini F. Fleming, John W. Moroney, Alok Pant, Azza M. Akasha, Ramana V. Davuluri, Masha Kocherginsky, Bin Zhang, Daniela Matei
Abstract
BACKGROUND Multiple islet autoantibodies (AAbs) predict the development of type 1 diabetes (T1D) and hyperglycemia within 10 years. By contrast, T1D develops in only approximately 15% of individuals who are positive for single AAbs (generally against glutamic acid decarboxylase [GADA]); hence, the single GADA+ state may represent an early stage of T1D.METHODS Here, we functionally, histologically, and molecularly phenotyped human islets from nondiabetic GADA+ and T1D donors.RESULTS Similar to the few remaining β cells in the T1D islets, GADA+ donor islets demonstrated a preserved insulin secretory response. By contrast, α cell glucagon secretion was dysregulated in both GADA+ and T1D islets, with impaired glucose suppression of glucagon secretion. Single-cell RNA-Seq of GADA+ α cells revealed distinct abnormalities in glycolysis and oxidative phosphorylation pathways and a marked downregulation of cAMP-dependent protein kinase inhibitor β (PKIB), providing a molecular basis for the loss of glucose suppression and the increased effect of 3-isobutyl-1-methylxanthine (IBMX) observed in GADA+ donor islets.CONCLUSION We found that α cell dysfunction was present during the early stages of islet autoimmunity at a time when β cell mass was still normal, raising important questions about the role of early α cell dysfunction in the progression of T1D.FUNDING This work was supported by grants from the NIH (3UC4DK112217-01S1, U01DK123594-02, UC4DK112217, UC4DK112232, U01DK123716, and P30 DK019525) and the Vanderbilt Diabetes Research and Training Center (DK20593).
Authors
Nicolai M. Doliba, Andrea V. Rozo, Jeffrey Roman, Wei Qin, Daniel Traum, Long Gao, Jinping Liu, Elisabetta Manduchi, Chengyang Liu, Maria L. Golson, Golnaz Vahedi, Ali Naji, Franz M. Matschinsky, Mark A. Atkinson, Alvin C. Powers, Marcela Brissova, Klaus H. Kaestner, Doris A. Stoffers, for the HPAP Consortium
Abstract
Background Deep learning has been widely used for glaucoma diagnosis. However, there is no clinically validated algorithm for glaucoma incidence and progression prediction. This study aims to develop a clinically feasible deep-learning system for predicting and stratifying the risk of glaucoma onset and progression based on color fundus photographs (CFPs), with clinical validation of performance in external population cohorts.Methods We established data sets of CFPs and visual fields collected from longitudinal cohorts. The mean follow-up duration was 3 to 5 years across the data sets. Artificial intelligence (AI) models were developed to predict future glaucoma incidence and progression based on the CFPs of 17,497 eyes in 9346 patients. The area under the receiver operating characteristic (AUROC) curve, sensitivity, and specificity of the AI models were calculated with reference to the labels provided by experienced ophthalmologists. Incidence and progression of glaucoma were determined based on longitudinal CFP images or visual fields, respectively.Results The AI model to predict glaucoma incidence achieved an AUROC of 0.90 (0.81–0.99) in the validation set and demonstrated good generalizability, with AUROCs of 0.89 (0.83–0.95) and 0.88 (0.79–0.97) in external test sets 1 and 2, respectively. The AI model to predict glaucoma progression achieved an AUROC of 0.91 (0.88–0.94) in the validation set, and also demonstrated outstanding predictive performance with AUROCs of 0.87 (0.81–0.92) and 0.88 (0.83–0.94) in external test sets 1 and 2, respectively.Conclusion Our study demonstrates the feasibility of deep-learning algorithms in the early detection and prediction of glaucoma progression.FUNDING National Natural Science Foundation of China (NSFC); the High-level Hospital Construction Project, Zhongshan Ophthalmic Center, Sun Yat-sen University; the Science and Technology Program of Guangzhou, China (2021), the Science and Technology Development Fund (FDCT) of Macau, and FDCT-NSFC.
Authors
Fei Li, Yuandong Su, Fengbin Lin, Zhihuan Li, Yunhe Song, Sheng Nie, Jie Xu, Linjiang Chen, Shiyan Chen, Hao Li, Kanmin Xue, Huixin Che, Zhengui Chen, Bin Yang, Huiying Zhang, Ming Ge, Weihui Zhong, Chunman Yang, Lina Chen, Fanyin Wang, Yunqin Jia, Wanlin Li, Yuqing Wu, Yingjie Li, Yuanxu Gao, Yong Zhou, Kang Zhang, Xiulan Zhang
Abstract
BACKGROUND. In human lupus nephritis (LN), tubulointerstitial inflammation (TII) on biopsy predicts progression to end-stage renal disease (ESRD). However, only about half of patients with moderate/severe TII develop ESRD. We hypothesized that this heterogeneity in outcome reflects different underlying inflammatory states. Therefore, we interrogated renal biopsies from LN longitudinal and cross-sectional cohorts. METHODS. Data was acquired using conventional and highly multiplexed confocal microscopy. To accurately segment cells across whole biopsies, and to understand their spatial relationships, we developed computational pipelines by training and implementing several deep learning models and other computer vision techniques. RESULTS. High B cell densities were associated with protection from ESRD. In contrast, CD8, γδ and other CD4-CD8- T cells, were associated with both acute renal failure and progression to ESRD. B cells were often organized into large periglomerular neighborhoods with T follicular helper cells while CD4- T cells formed small neighborhoods in the tubulointerstitium whose frequency predicted progression to ESRD. CONCLUSIONS. These data reveal that specific in situ inflammatory states are associated with refractory and progressive renal disease. FUNDING. These studies were funded by the NIH Autoimmunity Centers of Excellence (AI082724), Department of Defense (LRI180083) and Alliance for Lupus Research, NIH S10-OD025081, S10-RR021039, and P30-CA14599 awards.
Authors
Rebecca Abraham, Madeleine S. Durkee, Junting Ai, Margaret Veselits, Gabriel Casella, Yuta Asano, Anthony Chang, Kichul Ko, Charles Oshinsky, Emily Peninger, Maryellen L. Giger, Marcus R. Clark
Abstract
BACKGROUND. Patients undergoing immune-modifying therapies demonstrate a reduced humoral response after COVID-19 vaccination, but we lack a proper evaluation of the impact of such therapies on vaccine-induced T cell responses. METHODS. We longitudinally characterized humoral and Spike-specific T cell responses in inflammatory bowel disease (IBD) patients who are on antimetabolite therapy (azathioprine or methotrexate), TNF inhibitors and/or other biologic treatment (anti-integrin or anti-p40) for up to 6 months after completing two-dose COVID-19 mRNA vaccination. RESULTS. We demonstrated that a Spike-specific T cell response is not only induced in treated IBD patients at levels similar to healthy individuals, but also sustained at higher magnitude for up to 6 months after vaccination, particularly in those treated with TNF inhibitor therapy. Furthermore, the Spike-specific T cell response in these patients is mainly preserved against mutations present in SARS-CoV-2 B.1.1.529 (Omicron) and characterized by a Th1/IL-10 cytokine profile. CONCLUSION. Despite the humoral response defects, patients under immune-modifying therapies demonstrated a favorable profile of vaccine-induced T cell responses that might still provide a layer of COVID-19 protection. FUNDING. This study was funded by the National Centre for Infectious Diseases NCID Catalyst Grant (FY2021ES) and the National Research Fund Competitive Research Programme (NRF-CRP25-2020-0003). The funders played no role in the design, conduct, or reporting of this study.
Authors
Martin Qui, Nina Le Bert, Webber Pak Wo Chan, Malcolm Tan, Shou Kit Hang, Smrithi Hariharaputran, Jean Xiang Ying Sim, Jenny Guek Hong Low, Weiling Ng, Wei Yee Wan, Tiing Leong Ang, Antonio Bertoletti, Ennaliza Salazar
Abstract
BACKGROUND Hyaluronan (HA), an extracellular matrix glycosaminoglycan, has been implicated in the pathophysiology of COVID-19 infection, pulmonary hypertension, pulmonary fibrosis, and other diseases, but is not targeted by any approved drugs. We asked whether hymecromone (4-methylumbelliferone [4-MU]), an oral drug approved in Europe for biliary spasm treatment that also inhibits HA in vitro and in animal models, could be repurposed as an inhibitor of HA synthesis in humans.METHODS We conducted an open-label, single-center, dose-response study of hymecromone in healthy adults. Subjects received hymecromone at 1200 (n = 8), 2400 (n = 9), or 3600 (n = 9) mg/d divided into 3 doses daily, administered orally for 4 days. We assessed safety and tolerability of hymecromone and analyzed HA, 4-MU, and 4-methylumbelliferyl glucuronide (4-MUG; the main metabolite of 4-MU) concentrations in sputum and serum.RESULTS Hymecromone was well tolerated up to doses of 3600 mg/d. Both sputum and serum drug concentrations increased in a dose-dependent manner, indicating that higher doses lead to greater exposures. Across all dose arms combined, we observed a significant decrease in sputum HA from baseline after 4 days of treatment. We also observed a decrease in serum HA. Additionally, higher baseline sputum HA levels were associated with a greater decrease in sputum HA.CONCLUSION After 4 days of exposure to oral hymecromone, healthy human subjects experienced a significant reduction in sputum HA levels, indicating this oral therapy may have potential in pulmonary diseases where HA is implicated in pathogenesis.TRIAL REGISTRATION ClinicalTrials.gov NCT02780752.FUNDING Stanford Medicine Catalyst, Stanford SPARK, Stanford Innovative Medicines Accelerator program, NIH training grants 5T32AI052073-14 and T32HL129970.
Authors
Joelle I. Rosser, Nadine Nagy, Riya Goel, Gernot Kaber, Sally Demirdjian, Jamie Saxena, Jennifer B. Bollyky, Adam R. Frymoyer, Ana E. Pacheco-Navarro, Elizabeth B. Burgener, Jayakumar Rajadas, Zhe Wang, Olga Arbach, Colleen E. Dunn, Anissa Kalinowski, Carlos E. Milla, Paul L. Bollyky
Abstract
BACKGROUND. Neutralizing antibodies are considered a key correlate of protection by current SARS-CoV-2 vaccines. The manner in which human infections respond to therapeutic SARS-CoV-2 antibodies, including convalescent plasma therapy (CPT), remains to be fully elucidated. METHODS. Here, we conducted a proof-of-principle study of CPT based on a phase I trial in thirty hospitalized COVID-19 patients with a median interval between the onset of symptoms and the first transfusion of 9 days (IQR, 7-11.8 days). A comprehensive longitudinal monitoring of the virologic, serologic, and disease status of recipients allowed deciphering of parameters on which plasma therapy efficacy depends. RESULTS. In the context of this trial CPT was safe as evidenced by the absence of transfusion related adverse events and a low mortality (3.3%). Treatment with highly neutralizing plasma was significantly associated with faster virus clearance, as demonstrated by Kaplan-Meier analysis (p= 0.034) and confirmed in a parametric survival model including viral load and comorbidity (adjusted hazard ratio (HR)= 3.0 [95% confidence interval (CI) 1.1;8.1], p= 0.026). The onset of endogenous neutralization had a noticeable effect on viral clearance but, importantly, even after adjusting for their pre-transfusion endogenous neutralization status recipients benefitted from plasma therapy with high neutralizing antibodies (HR= 3.5 [95% CI 1.1;11], p= 0.034). CONCLUSION. In summary, our data demonstrate a clear impact of exogenous antibody therapy on the rapid clearance of viremia before and after onset of the endogenous neutralizing response and more broadly point beyond antibody-based interventions to critical laboratory parameters for improved evaluation of current and future SARS-CoV-2 therapies. TRIAL REGISTRATION. ClinicalTrials.gov NCT04869072 FUNDING. This study was funded via an “Innovation-Pool” project by the University Hospital Zurich, the “Swiss Red Cross “Glückskette” Corona Funding”, Pandemiefonds of the UZH Foundation and the Clinical Research Priority Program ‘Comprehensive Genomic Pathogen Detection’ of the University of Zurich.
Authors
Maddalena Marconato, Irene A. Abela, Anthony Hauser, Magdalena Schwarzmüller, Rheliana Katzensteiner, Dominique L. Braun, Selina Epp, Annette Audigé, Jacqueline Weber, Peter Rusert, Emèry Schindler, Chloé Pasin, Emily West, Jürg Böni, Verena Kufner, Michael Huber, Maryam Zaheri, Stefan Schmutz, Beat M. Frey, Roger D. Kouyos, Huldrych F. Günthard, Markus G. Manz, Alexandra Trkola
Abstract
BACKGROUND. Cytomegalovirus (CMV) is the most common intrauterine infection, leading to infant brain damage. Prognostic assessment of CMV-infected fetuses has remained an ongoing challenge in prenatal care, in the absence of established prenatal biomarkers of congenital CMV (cCMV) infection severity. We aimed to identify prognostic biomarkers of cCMV-related fetal brain injury. METHODS. Global proteome analysis was performed in mid-gestation amniotic fluid samples, comparing fetuses with severe cCMV to asymptomatic CMV-infected fetuses. The levels of selected differentially-excreted proteins were further determined by specific immunoassays. RESULTS. Employing unbiased proteome analysis in a discovery cohort, we identified amniotic fluid proteins related to inflammation and neurological disease pathways, which demonstrated distinct abundance in fetuses with severe cCMV. Amniotic fluid levels of two of these proteins - the immunomodulatory proteins chemerin and galectin-3-binding-protein - were highly predictive of the severity of cCMV in an independent validation cohort, differentiating between fetuses with severe (N=17) and asymptomatic (N=26) cCMV, with 100-93.8% positive predictive value, and 92.9-92.6% negative predictive value (for chemerin - galectin-3-binding-protein, respectively). CONCLUSION. Analysis of chemerin and galectin-3-binding-protein in mid-gestation amniotic fluids could be employed in the clinical setting to profoundly improve the prognostic assessment of CMV-infected fetuses. TRIAL REGISTRATION. NA FUNDING. Israel Science Foundation; Research Fund - Hadassah Medical Organization.
Authors
Olesya Vorontsov, Lorinne Levitt, Daniele Lilleri, Gilad W. Vainer, Orit Caplan, Licita Schreiber, Alessia Arossa, Arsenio Spinillo, Milena Furione, Or Alfi, Esther Oiknine-Djian, Meital Kupervaser, Yuval Nevo, Sharona Elgavish, Moran Yassour, Maurizio Zavattoni, Tali Bdolah-Abram, Fausto Baldanti, Miriam Geal-Dor, Zichria Zakay-Rones, Nili Yanai, Simcha Yagel, Amos Panet, Dana G. Wolf
Abstract
BACKGROUND. It is unclear whether the level of serum hepatitis B virus (HBV) DNA at baseline impacts the on-treatment risk of hepatocellular carcinoma (HCC) in HBeAg positive, non-cirrhotic patients with chronic hepatitis B (CHB). METHODS. We conducted a multicenter cohort study including 2,073 entecavir- or tenofovir-treated, HBeAg-positive, non-cirrhotic, adult CHB patients with baseline HBV DNA levels ≥5.00 log10 IU/mL at three centers in Korea between January 2007 and December 2016. We evaluated the on-treatment incidence rate of HCC by baseline HBV DNA levels. RESULTS. During a median 5.7 years of continuous antiviral treatment, 47 patients developed HCC (0.39 per 100 person-years). By Kaplan–Meier analysis, HCC risk was the lowest in those with baseline HBV DNA levels ≥8.00 log10 IU/mL, increased incrementally with decreasing viral load, and the highest with HBV DNA levels 5.00–5.99 log10 IU/mL (P<0.001). By multivariable analysis, baseline HBV DNA level was an independent factor that was inversely associated with HCC risk. Compared with HBV DNA ≥8.00 log10 IU/mL, the adjusted hazard ratios for HCC risk with HBV DNA 7.00–7.99 log10 IU/mL, 6.00–6.99 log10 IU/mL, and 5.00–5.99 log10 IU/mL were 2.48 (P=0.03), 3.69 (P=0.002), and 6.10 (P<0.001), respectively. CONCLUSION. On-treatment HCC risk increased incrementally with decreasing baseline HBV DNA levels in the range of ≥5.00 log10 IU/mL in HBeAg-positive, non-cirrhotic, adult patients with CHB. Early initiation of antiviral treatment with a high viral load (≥8.00 log10 IU/mL) may maintain the lowest risk of HCC in those patients. FUNDING. Korean Government.
Authors
Won-Mook Choi, Gi-Ae Kim, Jonggi Choi, Seungbong Han, Young-Suk Lim
Abstract
BACKGROUND. Tuberous Sclerosis Complex (TSC) is a neurogenetic syndrome due to loss-of-function mutations in TSC2 or TSC1, characterized by tumors at multiple body sites, including facial angiofibroma (FAF). Here, an ultrasensitive assessment of the extent and range of UV-induced mutations in TSC facial skin was performed. METHODS. A Multiplex High-sensitivity PCR Assay (MHPA) was developed, enabling mutation detection at extremely low (<0.1%) variant allele frequencies (VAF). RESULTS. MHPA assays were developed for both TSC2 and TP53, and applied to 81 samples, including 66 skin biopsies. UV-induced second hit mutation causing inactivation of TSC2 was pervasive in TSC facial skin with an average of 4.8 mutations per 2 mm biopsy at median VAF 0.08%, generating >150,000 incipient facial tumors (subclinical ‘micro-FAFs’) in the average TSC subject. The MHPA analysis also led to the identification of a refined UV-related indel signature and a recurrent complex mutation pattern, consisting of both a single or dinucleotide variant, and a 1-9 nt deletion, in cis. CONCLUSION. TSC facial skin can be viewed as harboring a patchwork of clonal fibroblast proliferations (micro-FAF) with indolent growth, a small proportion of which develop into clinically observable FAF. Our observations also expand the spectrum of UV-related mutation signatures. FUNDING. This work was supported by the TSC Alliance, Engles Family Fund for Research in TSC and LAM, and National Institutes of Health, National Heart, Lung, and Blood Institute [U01HL131022-04; Intramural Research Program].
Authors
Katarzyna Klonowska, Joannes M. Grevelink, Krinio Giannikou, Barbara A. Ogorek, Zachary T. Herbert, Aaron R. Thorner, Thomas N. Darling, Joel Moss, David J. Kwiatkowski
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