Citations

Abstract Objective The Financial Capacity Instrument-Short Form (FCI-SF) is a performance-based measure of everyday financial skills that takes 15 min to administer. Although the FCI-SF has demonstrated excellent psychometric properties, advanced psychometric methods such as item response theory (IRT) can provide important information on the performance of individual test items in measuring financial capacity and in distinguishing between healthy and cognitively impaired individuals. Method Participants were 272 older adults diagnosed with mild cognitive impairment (MCI) and 1,344 cognitively healthy controls recruited from the Mayo Clinic Study of Aging at the Mayo Clinic in Rochester, Minnesota and also from the Cognitive Observations in Seniors study at the University of Alabama at Birmingham. Participants in each study were administered the FCI-SF, which evaluates coin/currency calculation, financial conceptual knowledge, use of a checkbook/register, and use of a bank statement. Results A unidimensional two-parameter logistic model best fit the 37 FCI-SF Test items, and most FCI-SF items fit the unidimensional two-parameter model well. The results indicated that all FCI-SF items robustly distinguished cognitively healthy controls from persons with MCI. Conclusions The study results showed that the FCI-SF performed well under IRT analysis, further highlighted the psychometric properties of the FCI-SF as a valid and reliable measure of financial capacity, and demonstrated the clinical utility of the FCI-SF in distinguishing between cognitively normal and cognitively impaired individuals.

Abstract The objective of this study is to describe application of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) to support medical device real-world evaluation in a National Evaluation System for health Technology Coordinating Center (NESTcc) Test-Case involving 2 healthcare systems, Mercy Health and Mayo Clinic. CDM implementation was coordinated across 2 healthcare systems with multiple hospitals to aggregate both medical device data from supply chain databases and patient outcomes and covariates from electronic health record data. Several data quality assurance (QA) analyses were implemented on the OMOP CDM to validate the data extraction, transformation, and load (ETL) process. OMOP CDM-based data of relevant patient encounters were successfully established to support studies for FDA regulatory submissions. QA analyses verified that the data transformation was robust between data sources and OMOP CDM. Our efforts provided useful insights in real-world data integration using OMOP CDM for medical device evaluation coordinated across multiple healthcare systems.

Abstract Aging has been shown to be one of the major risk factors for host morbidity and mortality following infections with respiratory viruses including influenza virus and SARS-CoV-2. The unique immune properties of the aged hosts not only influence pathogen clearance and tissue damage responses, but also modulate the pathogenesis of the long-term sequalae post acute viral clearance. Currently, the dynamics and features of mucosal immune responses following acute respiratory viral infections in the aged hosts remain to be fully elucidated. Here, we characterized the lung cellular and molecular profiles following influenza virus infection in young (~3-month-old) or aged (~24-month-old) mice with a chronological manner from acute to chronic phase. Using DNA-oligo-conjugated CD45 antibody and i.v. labeling, we were able to distinguish the unique responses of circulating vs lung-resident immune cells to influenza virus infection during aging. These responses were further validated by spectral flow cytometry analysis of the lung innate and adaptive immune cells. Further data analysis and integration are warranted for this unique large data set detailing the single cell molecular profiles of mucosal responses to influenza virus infection comparing young and aged hosts.

Abstract Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can result in a cytokine storm that is associated with poor outcomes in patients. The activation of a NOD-like receptor pyrin domain containing 3 (NLRP3) inflammasome following SARS-CoV-2 infection has been shown to play a major role in inflammatory immune responses. In this study, we show that open reading frame 8 (ORF8) protein is abundantly secreted as a glycoprotein in vitro. The glycosylated ORF8 stimulates human CD14+/CD16+ monocytes to cause upregulation of proinflammatory cytokine production and cell surface marker expression within 24 hours. The data suggests that stimulation of human monocytes by ORF8 is not receptor mediated. Rather, ORF8 is likely phagocytosed by human monocytes. ORF8 then stimulates the monocytes by independently binding to the NACHT and LRR domains of the NLRP3 protein. Pharmacologic inhibition of NLRP3 significantly diminished the production of pro-inflammatory cytokines from ORF8-stimulated human monocytes. Finally, this study shows that the ORF8 protein is also secreted in patients with newly diagnosed coronavirus disease 2019 (COVID-19). Levels of ORF8 in the blood of patients diagnosed with COVID-19 correlated with disease mortality and trajectory of disease. ORF8 stimulation of monocytes causes pro-inflammatory cytokine production that leads to the development of severe COVID-19.

Abstract Fetal-derived tissue-resident macrophages exhibit stem cell-like features of self-renewal in adulthood to maintain macrophage population during homeostasis and/or various insults. However, little is known about the cellular and molecular mechanisms modulating proliferative and inflammatory fate decisions of tissue-resident macrophages in vivo. Here, we show that WNT-β-catenin signaling inhibited lung-resident alveolar macrophage (AM) self-renewal, while simultaneously promoted AM inflammatory activities in vitro and in vivo during influenza virus infection. Mechanistically, WNT engagement facilitated the binding of β-catenin with HIF-1α over its conventional binding partner TCF-4. Such a binding choice led to the elevated macrophage inflammation in a glycolysis-dependent manner, while inhibited AM self-renewal by causing mitochondrial damage and impairing oxidative phosphorylation. Thus, AM self-renewal and inflammatory activity are uncoupled by WNT-β-catenin signaling through HIF-1α-mediated cellular metabolic choice. Importantly, we showed that AM with high HIF-1α activity had limited proliferative capacity and produced inflammatory cytokines, while AM with low HIF-1α activity were highly proliferative and expressed genes associated with tissue repair function in vivo during influenza virus infection. In accordance, we demonstrated that AM proliferation and repopulation were needed for optimal lung repair following the clearance of influenza virus in the respiratory tract. Our results have revealed key mechanisms modulating macrophage fate choice between progeny production versus inflammatory effector activity, and subsequent effects on tissue inflammation and repair.

Abstract Alveolar Macrophages (AMs) are unique innate immune cells that reside in the alveolar space and accommodate the ever-changing need of the lungs against internal and external challenges. During homeostasis, AMs maintained themselves through self-renewal without the need for input from adult hematopoietic stem cells. Currently, little is known about how aging influences AM dynamics, heterogeneity and self-renewal. To this end, we have performed single-cell RNA sequencing (scRNA-seq) on murine lung AMs (CD11+ Siglec F+) isolated from young (~8w) and aged (~2y) mice. We discovered that despite similar transcriptome in the proliferating cells, AMs from aged mice had reduced proliferation and self-renew ability than those from the young mice. AMs from aged mice also displayed elevated senescence markers such as p16, p21 and p53. Consistently, AMs from aged mice had reduced DNA repair ability, which could contribute to their impaired capacity to pass through the cell cycle checkpoints. Interestingly, AMs from aged mice also possessed reduced pro-apoptotic gene profile. Thus, we hypothesize that the reduced proliferation- and apoptosis-associated gene profiles in aged AMs may lead to the enhanced senescence-like phenotype in those cells. Further validation of the senescence-like phenotype of aged AMs and investigation of how they contribute to lung “inflammaging” are warranted.

Abstract Alveolar Macrophages (AMs) are a unique population of innate immune cells that reside in the alveolar space and contribute to accommodate the ever-changing need of the lungs against the external environmental challenges. AMs derive from the fetal origins and are capable of maintaining themselves through self-renewal without the input of hematopoiesis during the adulthood. However, little is known about how aging is influencing the molecular characteristics and heterogeneity of the AMs during homeostasis. Using single-cell RNA sequencing (scRNA-seq) and Seurat clustering, we discovered AMs can be subdivided into different “subsets” with unique molecular characteristics during homeostasis. Interestingly, when we further investigate the AM population with the combined data from the young(~8w) and old(~2y) mice, the data suggested that the proliferating cell fall in the same cluster with reduced number in the old-mice group, while the poised inflammatory cells showed distinct molecular patterns between the group with different age. We hypothesize that the inflammatory and the self-renewal AM subpopulations may be maintained by distinct extracellular signals. With the progress of aging, the self-renewal ability of AMs would reduce because of the number of proliferating cells but not the change of molecular patterns. At the same time, the inflammatory population would change its characteristics with age, and potentially lead to functional change upon activation. Further validation of the AM subset identity as well as the developmental and functional interrelationship of these subsets are required. In addition, the extrinsic and intrinsic signals responsible for the maintenance of these AM subsets are to be explored.

Microglia play a critical role in the clearance of myelin debris, thereby ensuring functional recovery from neural injury. Here, using mouse model of demyelination following two-point LPC injection, we show that the microglial autophagic–lysosomal pathway becomes overactivated in response to severe demyelination, leading to lipid droplet accumulation and a dysfunctional and pro-inflammatory microglial state, and finally failed myelin debris clearance and spatial learning deficits. Data from genetic approaches and pharmacological modulations, via microglial Atg5 deficient mice and intraventricular BAF A1 administration, respectively, demonstrate that staged suppression of excessive autophagic–lysosomal activation in microglia, but not sustained inhibition, results in better myelin debris degradation and exerts protective effects against demyelination. Combined multi-omics results in vitro further showed that enhanced lipid metabolism, especially the activation of the linoleic acid pathway, underlies this protective effect. Supplementation with conjugated linoleic acid (CLA), both in vivo and in vitro, could mimic these effects, including attenuating inflammation and restoring microglial pro-regenerative properties, finally resulting in better recovery from demyelination injuries and improved spatial learning function, by activating the peroxisome proliferator-activated receptor (PPAR-γ) pathway. Therefore, we propose that pharmacological inhibition targeting microglial autophagic–lysosomal overactivation or supplementation with CLA could represent a potential therapeutic strategy in demyelinated disorders.