Associations of Serum and Bronchoalveolar Immunoglobulins with Lung Microbiota Diversity, B-Cell Memory Phenotypes, and COPD Morbidity and Exacerbations
B101. VARIED OMICS TECHNIQUES APPLIED TO ALLERGIC AND RESPIRATORY TRAITS | May 2, 2022 | Volume: No volume available | Issue: No issue available | Pages: A3489-A3489
BACKGROUND: Increasingly there is an impetus on the part of surgeons to find more minimally invasive approaches to treat spinal pathologies. Retroperitoneal prepsoas and transpsoas approaches to the lumbar spine are one such example gaining increased attention. Endoscope-assisted approaches may help further reduce soft tissue dissection. OBJECTIVE: To describe an endoscope-assisted lateral retroperitoneal prepsoas approach for lumbar diskectomy. METHODS: Two fresh-frozen thoracolumbar cadaveric specimens were obtained and placed in the right lateral decubitus position. Using a left-sided, retroperitoneal prepsoas approach to the lumbar spine and under endoscopic visualization, diskectomies were performed at the L2/3, L3/4, L4/5, and L5/S1 intervertebral spaces. Qualitative assessment of the extent of central and contralateral foraminal decompression was performed. RESULTS: The endoscope was found to provide effective visualization at all disk spaces and combined with the anterior retroperitoneal prepsoas approach allowed for effective decompression of all explored disk spaces. Both operators noted difficulty obtaining visualization of the ipsilateral foramen, but adequate central and contralateral foraminal decompression was achievable for central, paracentral, and contralateral far lateral disk protrusions. CONCLUSION: Endoscope assistance may improve visualization of the lumbar intervertebral disk spaces during retroperitoneal prepsoas approaches and thereby help to expand the surgical indication for anterior and oblique lumbar interbody fusion.
Abstract 12087: Device-Related Infection Associated With Increased Mortality Risk in
de novo
Transvenous Implantable Cardioverter-Defibrillator Medicare Patients
Introduction: Device-related infection is estimated to occur in 1.9% of the Medicare patients with de novo transvenous (TV) implantable cardioverter-defibrillators (ICD) within 2 years post-implant. TV-ICD infection is a serious complication that frequently requires complete device removal for attempted cure, which can be associated with patient morbidity and mortality. The objective of this study is to expand on limited published data and assess mortality risk associated with TV-ICD infection in a large Medicare population with de novo TV-ICD implants. Methods: A survival analysis was conducted using 100% fee-for-service Medicare facility-level claims data to identify patients who underwent de novo TV-ICD implantation between 7/2016 and 1/2018. TV-ICD infection within 2 years of implantation was identified using ICD-10 and CPT codes. Baseline patient risk factors associated with mortality were identified using the Charlson Comorbidity Index categories. Infection was treated as a time-dependent variable in a multivariate Cox proportional hazards model to account for immortal time bias. Results: Among 26,742 Medicare patients with de novo TV-ICD, 518 (1.9%) had a device-related infection. The overall number of decedents was 4,721 (17.7%) over 2 years, with 4,555 (17%) in the non-infection group and 166 (32%) in the infection group. After adjusting for baseline patient demographic characteristics and various comorbidities, the presence of TV-ICD infection was associated with an increase of 2.4 [95% CI: 2.08-2.85] times in the mortality hazard ratio (see attached Figure). Most of the baseline patient risk factors were also associated with higher risk of mortality in the Cox model. Conclusion: The rate of de novo TV-ICD infection and associated mortality in a large, real-world Medicare population is noteworthy. The positive association between device-related infection and risk of mortality further highlights the need to reduce infections.
An in vitro model for Extracellular DNA Traps (ETs)-rich Human Thrombus Analogs
Background Extracellular DNA traps (ETs) have important implications in both thrombosis and thrombolysis. Thus, developing benchtop thrombus analogs that recapitulate clinical ETs is potentially of great value for preclinical development and testing of thrombolytic agents and thrombectomy devices. In this study, we aimed to develop ETs-rich thrombus analogs for preclinical testing. Methods Red blood cell (RBC)-rich, fibrin-rich, and platelet-rich thrombus analogs were created using human whole blood, platelet-poor plasma, and platelet-rich plasma obtained from the blood bank following institutional approval. Peripheral blood mononuclear cells (9.9×106 cells/mL) isolated from human whole blood and lipopolysaccharide (1 µg/mL) were added to induce ETs. Histochemical, immunohistochemistry and immunofluorescence were used to identify thrombus components and ETs. Scanning electronic microscopy was used to investigate the ultrastructure of the thrombus analogs. The thrombus compositions, morphologic features of ETs and citrullinated histone H3 (H3Cit) expression were compared with those of thrombi retrieved from patients by thrombectomy. Results ETs-rich thrombus analogs were more compacted th-an the ETs-poor thrombus analogs. ETs were identified in both ETs-rich thrombus analogs and patient thrombi showing morphologic features including nuclear lobulation, nuclear swelling, diffused chromatin within cytoplasm, DNA/chromatin extending intracellularly and extracellularly, and extracellular chromatin patches and bundles. In the ETs-poor thrombus analogs, ETs were not observed and H3Cit expression was absent to minimal. The compositions and H3Cit expression in the ETs-rich thrombus analogs fell in the range of patient thrombi. Conclusions ETs-rich thrombus analogs can be consistently created in vitro and may benefit the preclinical development and testing of new thrombolytic agents and thrombectomy devices.
Predictive metabolic networks reveal sex‐ and
APOE
genotype‐specific metabolic signatures and drivers for precision medicine in Alzheimer's disease
Abstract Introduction Late‐onset Alzheimer's disease (LOAD) is a complex neurodegenerative disease characterized by multiple progressive stages, glucose metabolic dysregulation, Alzheimer's disease (AD) pathology, and inexorable cognitive decline. Discovery of metabolic profiles unique to sex, apolipoprotein E ( APOE ) genotype, and stage of disease progression could provide critical insights for personalized LOAD medicine. Methods Sex‐ and APOE ‐specific metabolic networks were constructed based on changes in 127 metabolites of 656 serum samples from the Alzheimer's Disease Neuroimaging Initiative cohort. Results Application of an advanced analytical platform identified metabolic drivers and signatures clustered with sex and/or APOE ɛ4, establishing patient‐specific biomarkers predictive of disease state that significantly associated with cognitive function. Presence of the APOE ɛ4 shifts metabolic signatures to a phosphatidylcholine‐focused profile overriding sex‐specific differences in serum metabolites of AD patients. Discussion These findings provide an initial but critical step in developing a diagnostic platform for personalized medicine by integrating metabolomic profiling and cognitive assessments to identify targeted precision therapeutics for AD patient subgroups through computational network modeling.
Impact of obesity on the molecular response to a single bout of exercise in a preliminary human cohort
AbstractObjectiveThe health benefits of exercise are well documented, but several exercise‐response parameters are attenuated in individuals with obesity. The goal of this pilot study was to identify molecular mechanisms that may influence exercise response with obesity.MethodsA multi‐omics comparison of the transcriptome, proteome, and phosphoproteome in muscle from a preliminary cohort of lean individuals (n = 4) and individuals with obesity (n = 4) was performed, before and after a single bout of 30 minutes of unilateral cycling at 70% maximal oxygen uptake (VO2 peak). Mass spectrometry and RNA sequencing were used to interrogate the proteome, phosphoproteome, and transcriptome from muscle biopsy tissue.ResultsThe main findings are that individuals with obesity exhibited transcriptional and proteomic signatures consistent with reduced mitochondrial function, protein synthesis, and glycogen synthesis. Furthermore, individuals with obesity demonstrated markedly different transcriptional, proteomic, and phosphoproteomic responses to exercise, particularly biosynthetic pathways of glycogen synthesis and protein synthesis. Casein kinase II subunit alpha and glycogen synthase kinase‐3β signaling was identified as exercise‐response pathways that were notably altered by obesity.ConclusionsOpportunities to enhance exercise responsiveness by targeting specific molecular pathways that are disrupted in skeletal muscle from individuals with obesity await a better understanding of the precise molecular mechanisms that may limit exercise‐response pathways in obesity.
59 Collagenase Clostridium Histolyticum Treatment for Peyronie's Disease: Analysis of Outcomes and Cumulative Benefits After Each Injection Cycle
ABSTRACT Introduction The efficacy and safety of collagenase clostridium histolyticum (CCH) for the treatment of Peyronie's disease (PD) were demonstrated in two phase 3, randomized, double-blind, placebo-controlled studies. CCH injections were administered in up to 4 treatment cycles at 6-week intervals; each cycle included two injections 1-3 days apart. Objective To evaluate incremental changes in penile curvature over the course of CCH treatment in men with PD. Methods A post hoc analysis was conducted using pooled data from the 2 placebo-controlled trials. Change from baseline and from the previous penile curvature measurement were calculated after each of the 4 treatment cycles (Weeks 6, 12, 18, and 24). For all patients, treatment included penile plaque modeling. For CCH vs placebo, mean percentage change in penile curvature was compared using a two-sample t-test; percentage of patients classified as treatment responders (defined as curvature reduction ≥20%) was compared using Fisher's exact test. Results The population included 832 adult men (CCH [n=551]; placebo [n=281]) who received ≥1 injection of study medication. At baseline, mean ± standard deviation (SD) penile curvature was 50.6±14.7 degrees in the CCH group and 50.4±14.1 degrees in the placebo group. Compared with baseline, the mean ± SD percentage change in penile curvature was -12.8±20.3% for CCH vs -6.2±18.8% for placebo after the first treatment cycle, -22.6±23.5% vs -10.6±23.1% after the second, -29.9±25.0% vs -14.6±24.0% after the third, and -33.1±28.0% vs -16.6±25.5% after the fourth (all P<0.001 vs placebo; Figure 1A). Comparing change from the previous measurement (ie, incremental change from previous treatment cycle [eg, between first and second; second and third, etc]), mean ± SD percentage reduction in penile curvature was 11.1±21.8% vs 5.0±16.4% after the second treatment cycle (P<0.001 vs placebo), 9.6±21.8% vs 3.9±17.0% after the third (P<0.001) and 6.3±23.0% vs 2.0±17.2% after the fourth (P=0.009; Figure 1B). The percentage of patients with ≥20% reduction in penile curvature since the previous measurement (cycle) was 29.9% for CCH group vs 18.3% for the placebo group after the first treatment cycle (P=0.0003), 29.1% vs 16.9% after the second (P=0.0002), 25.2% vs 12.8% after the third (P<0.0001), and 20.2% vs 10.9% after the fourth (P=0.001). For patients with a response after 2 treatment cycles (CCH [n=219]; placebo [n=77]), 40.2% of the CCH-treated patients vs 19.5% of the placebo-treated patients had an additional reduction of ≥20% after completing 4 treatment cycles (P=0.001). In patients with <20% reduction after the initial 2 treatment cycles (CCH [n=205]; placebo [n=168]), 29.8% of patients in the CCH group were classified as treatment responders after completing the fourth injection cycle (versus 20.8% of placebo-treated patients; P=0.057). Conclusions Data support that incremental benefits were obtained from each of the 4 CCH treatment cycles administered to men with Peyronie's disease. Results would suggest benefits with performing a full series of 4 CCH injections, even among men who are initial non-responders. Disclosure Yes, this is sponsored by industry/sponsor: Endo Pharmaceuticals Inc. Clarification Industry initiated, executed and funded study Any of the authors act as a consultant, employee or shareholder of an industry for: Endo Pharmaceuticals Inc.
GPU‐accelerated Monte Carlo‐based online adaptive proton therapy: A feasibility study
AbstractPurposeTo develop an online graphic processing unit (GPU)‐accelerated Monte Carlo‐based adaptive radiation therapy (ART) workflow for pencil beam scanning (PBS) proton therapy to address interfraction anatomical changes in patients treated with PBS.Methods and MaterialsA four‐step workflow was developed using our in‐house developed GPU‐accelerated Monte Carlo‐based treatment planning system to implement online Monte Carlo‐based ART for PBS. The first step conducts diffeomorphic demon‐based deformable image registration (DIR) to propagate contours on the initial planning CT (pCT) to the verification CT (vCT) to form a new structure set. The second step performs forward dose calculation of the initial plan on the vCT with the propagated contours after manual approval (possible modifications involved). The third step triggers a reoptimization of the plan depending on whether the verification dose meets the clinical requirements or not. A robust evaluation will be done for both the verification plan in the second step and the reopotimized plan in the third step. The fourth step involves a two‐stage (before and after delivery) patient‐specific quality assurance (PSQA) of the reoptimized plan. The before‐delivery PSQA is to compare the plan dose to the dose calculated using an independent fast open‐source Monte Carlo code, MCsquare. The after‐delivery PSQA is to compare the plan dose to the dose recalculated using the log file (spot MU, spot position, and spot energy) collected during the delivery. Jaccard index (JI), dice similarity coefficients (DSCs), and Hausdorff distance (HD) were used to assess the quality of the propagated contours in the first step. A commercial plan evaluation software, ClearCheck™, was integrated into the workflow to carry out efficient plan evaluation. 3D Gamma analysis was used during the fourth step to ensure the accuracy of the plan dose from reoptimization. Three patients with three different disease sites were chosen to evaluate the feasibility of the online ART workflow for PBS.ResultsFor all three patients, the propagated contours were found to have good volume conformance [JI (lowest‐highest: 0.833–0.983) and DSC (0.909–0.992)] but suboptimal boundary coincidence [HD (2.37–20.76 mm)] for organs‐at‐risk. The verification dose evaluated by ClearCheck™ showed significant degradation of the target coverage due to the interfractional anatomical changes. Reoptimization on the vCT resulted in great improvement of the plan quality to a clinically acceptable level. 3D Gamma analyses of PSQA confirmed the accuracy of the plan dose before delivery (mean Gamma index = 98.74% with a threshold of 2%/2 mm/10%), and after delivery based on the log files (mean Gamma index = 99.05% with a threshold of 2%/2 mm/10%). The average time cost for the complete execution of the workflow was around 858 s, excluding the time for manual intervention.ConclusionThe proposed online ART workflow for PBS was demonstrated to be efficient and effective by generating a reoptimized plan that significantly improved the plan quality.
Abstract Background: Stem cell senescence and depletion are major causes of organismal aging and aging-related diseases. The NAD–SIRT1–PARP1 axis has garnered remarkable interest owing to its significant role in regulating stem cell senescence and organismal aging. Event though our recent study showes that PBX1 overexpression attenuates hair follicle-derived mesenchymal stem cell (HF-MSC) senescence and apoptosis by regulating ROS-mediated DNA damage via downregulation of PARP1 expression, suggesting PARP1 downregulation is a common manifestation of the roles of both PBX1 and SIRT1 in the attenuation of HF-MSC senescence, and implying a potential link between PBX1 and SIRT1 via PARP1. Methods: HF-MSCs overexpressing PBX1, overexpressing both PBX1 and PARP1, downregulating SIRT1, and overexpressing PBX1 and downregulating SIRT1 were generated, and biomarkers related to cell senescence, apoptosis, DNA damage, and repair were detected at the cellular and protein levels. Results: (1) PBX1 overexpression alleviated HF-MSC senescence and apoptosis accompanied by upregulation of SIRT1 expression, downregulation of PARP1 expression, and increased intracellular NAD and ATP levels. (2) SIRT1 knockdown or PARP1 overexpression enhanced cellular senescence and apoptosis, accompanied by increased ROS accumulation and DNA damage aggravation and decreased intracellular NAD and ATP levels. (3) PBX1 overexpression rescued HF-MSC senescence and apoptosis induced by SIRT1 knockdown or PARP1 overexpression. (4) Dual luciferase reporter showed PBX1 enhanced SIRT1 expression by activating SIRT1 promoter. Conclusions: Our results reveal that a positive interaction feedback loop exists between PBX1 and SIRT1, that PBX1 is the upstream of SIRT1. To the best of our knowledge we are the first to report that there is a PBX1-SIRT1-PARP1 axis and this axis plays a critical role in alleviation of HF-MSC senescence and apoptosis. The results provide a new perspective on the mechanism of stem cell senescence and age-related disease prevention and treatment.
Understanding Drug Sensitivity and Tackling Resistance in Cancer
Abstract Decades of research into the molecular mechanisms of cancer and the development of novel therapeutics have yielded a number of remarkable successes. However, our ability to broadly assign effective, rationally targeted therapies in a personalized manner remains elusive for many patients, and drug resistance persists as a major problem. This is in part due to the well-documented heterogeneity of cancer, including the diversity of tumor cell lineages and cell states, the spectrum of somatic mutations, the complexity of microenvironments, and immune-suppressive features and immune repertoires, which collectively require numerous different therapeutic approaches. Here, we describe a framework to understand the types and biological causes of resistance, providing translational opportunities to tackle drug resistance by rational therapeutic strategies.