Faculty Bibliography

Long-chain fatty acids in the blood are prevented from unfettered movement into nonfenestrated tissues or the arterial wall. During fasting, nonesterified FAs are released from adipose tissue into the circulation and bind to albumin, forming a complex >65 kDa, with limited ability to efficiently cross endothelial cell (EC) barriers without a specific receptor. For this reason, nonhepatic tissue distribution of circulating FA parallels EC expression of the FA-binding protein CD36 (cluster of differentiation 36). The deletion of CD36 in ECs reduces nonesterified FA uptake by the heart, muscle, and brown adipose tissue. The other major transport system for FAs is via lipoproteins. Circulating FAs are contained within TRLs (triglyceride-rich lipoproteins), chylomicrons during the postprandial period, and VLDL (very low-density lipoprotein) both postprandially and during fasting. LPL (lipoprotein lipase) on capillary ECs releases FAs from TRLs and likely allows their passage into tissues, in part, via a CD36-independent process. ECs can also internalize lipoprotein particles, followed by the transendothelial movement of lipids. In this review, we will discuss the pathways of EC uptake of FAs from circulation, how this process affects both EC and tissue biology, and the importance of these processes for systemic metabolism and vascular health. We will conclude with speculations on methods to modulate EC FA uptake and their implications for human health.

AIMS/OBJECTIVE:To describe management of life with a left ventricular assist device (LVAD) by patients and caregivers and to determine the fit of self- and family management as a guiding concept in LVAD research. METHODS AND RESULTS/RESULTS:We applied dimensional analysis techniques to this concept analysis, beginning with a literature search (2010-25) of PubMed, CINAHL, Embase, PsycINFO, and Web of Science. Two reviewers screened and analysed 28 articles capturing perspectives on daily LVAD management among patients, caregivers, and healthcare professionals. Fourteen studies were qualitative, 12 were quantitative, and 2 were mixed methods. We identified five dimensions of patient and family management of LVAD therapy: patient facilitators and barriers; caregiver facilitators and barriers; processes of self- and family management; clinician facilitators and barriers/processes; and outcomes. These dimensions align with the concept of self- and family management and with core components of the Middle Range Theory of Self- and Family Management of Chronic Illness. CONCLUSION/CONCLUSIONS:This dimensional concept analysis advances understanding of managing life with an LVAD by clarifying the collaborative roles of patients, caregivers, LVAD coordinators, and other healthcare professionals. Our analysis supports the use of self- and family management as a guiding concept and the application of the Middle Range Theory of Self- and Family Management of Chronic Illness in LVAD research. A new conceptual definition of LVAD self- and family management reflects this theoretical grounding. Our work offers direction for future research, clinical practice, and education aimed at improving outcomes for patients and caregivers managing life with an LVAD.

Neoadjuvant therapy (NAT) is increasingly used for pancreatic ductal adenocarcinoma (PDAC); yet most patients only achieve partial response. Pathological treatment response grading focuses on assessing residual tumor burden, often overlooking changes in tumor microenvironment (TME). To address this gap, we compared tumor cells and TME of 13 NAT-naïve and 23 post-NAT PDACs using integrated spatial pathomics and transcriptomics, with validation in an independent single-cell spatial dataset. NAT significantly reduced tumor burden (14.7%-6.2%, p = 0.004), but systemic comparison of 13 cytomorphometric features of tumor cells alone did not reliably distinguish between naïve and NAT cases. In contrast, NAT profoundly remodeled TME by increasing cancer-associated fibroblast (CAF) and CD8⁺ T cell densities, promoting CD8⁺ T cell-tumor cell proximity and fibrosis, reducing tumor-associated neutrophils, and redistributing tertiary lymphoid structures (TLSs). Spatial transcriptomics shows NAT induced apoptosis, DNA-damage response, and AGC-kinase (S_TK_X) signaling in tumor cells, and upregulated complement pathway, p53 signaling, and cellular senescence program in TME. Cross-platform single-cell spatial analysis revealed decreased regulatory T cells (Treg) and a shift from myofibroblastic (mCAF) to inflammatory CAF (iCAF). Importantly, post-NAT patients with more fibrosis had longer overall survival (p = 0.02), and higher B-cell density showed a favorable trend (p = 0.06). Together, these results suggest that beyond tumor debulking, NAT induces a coordinated TME remodeling characterized by fibroblast reprogramming, matrix fibrosis, and immune spatial reorganization. Incorporating assessment of NAT-induced stromal and immune changes into TRG may improve prognostication and guide more precise therapy in post-NAT PDAC.

BACKGROUND:Recently, the gene therapy eladocagene exuparvovec received accelerated approval from the US Food and Drug Administration (as eladocagene exuparvovec-tneq) for treatment of aromatic L-amino acid decarboxylase deficiency (AADCd), a rare, infantile-onset disorder characterized by developmental delays. OBJECTIVES/OBJECTIVE:To conduct a US, modified societal perspective cost-utility analysis comparing eladocagene exuparvovec versus best supportive care (BSC). METHODS:Multistate survival modeling was implemented tracking disease progression from a "no motor function" health state to achievement of motor-function improvements, measured by: (1) multiples of the meaningful score difference (MSD) of the Peabody Developmental Motor Scales-Second Edition (PDMS-2) total score and (2) motor milestones. Eladocagene exuparvovec trials informed clinical inputs. Health-state utilities were from a US time-trade-off study that valued AADCd quality-of-life impacts. Outcomes were discounted (3%); costs were reported in 2024 US dollars. Scenario analyses, characterizing alternative approaches of the multistate survival model analyses and probabilistic sensitivity analysis to assess the impact of parameter uncertainty, were conducted. RESULTS:Discounted incremental quality-adjusted life-years (QALYs) for eladocagene exuparvovec were 20.83 (multiples of the MSD of total PDMS-2) and 18.44 (motor milestones). Incremental cost per QALY ranged from $199,007-$224,104. The scenario and sensitivity analyses results supported the validity of the base case analysis. CONCLUSIONS:Eladocagene exuparvovec is associated with considerable QALY gains compared with BSC. Within the context of other ultra-rare and/or one-time treatments, eladocagene exuparvovec provides substantial clinical improvements at lower cost than many other rare-disease treatments. Findings from this study highlight that eladocagene exuparvovec is an important treatment option for patients with AADCd.

IMPORTANCE/UNASSIGNED:Mental disorders have been associated with traditional cardiovascular risk factors that may mediate the risk of acute coronary syndrome (ACS). OBJECTIVE/UNASSIGNED:To estimate the association of ACS among patients with mental disorders, as compared with patients without mental disorders. DATA SOURCES/UNASSIGNED:MEDLINE, Embase, and PubMed were searched for studies between July 1, 2025, and date of database inception. STUDY SELECTION/UNASSIGNED:Study screening was performed in duplicates with conflicts resolved upon consensus. Inclusion criteria were as follows: (1) observational or randomized study, (2) measured association with ACS (incident events, risk ratio, odds ratio, hazard ratio [HR]), and (3) investigated any clinical mental disorder (based on DSM and International Classification of Diseases) before ACS events. DATA EXTRACTION AND SYNTHESIS/UNASSIGNED:This systematic review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Data extraction was performed in duplicate and resolved on consensus. Data were quantitatively synthesized through random-effects meta-analysis. The National Institutes of Health Study Quality Assessment Tools were used to assess the quality of included studies. Studies were analyzed from January 1966 to October 2021. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Association and/or risk of ACS. RESULTS/UNASSIGNED:Among 3616 initially identified studies, 25 full-text articles met inclusion criteria with 22 048 504 participants of median (IQR) age 48.0 (34.5-56.1) years, with 13 019 897 males (59.1%). Depressive disorder (HR, 1.40; 95% CI, 1.11-1.78; P = .01; Grading of Recommendations Assessment, Development, and Evaluation [GRADE] certainty = very low), anxiety disorder (HR, 1.63; 95% CI, 1.40-1.89; P < .001; GRADE certainty = low), sleep disorder (HR, 1.60; 95% CI, 1.22-2.10; P < .001; GRADE certainty = low), and posttraumatic stress disorder (PTSD; HR, 2.73; 95% CI, 1.94-3.84; P < .001; GRADE certainty = moderate) were associated with increased risk of ACS. Bipolar (HR, 1.48; 95% CI, 0.47-4.61; P = .28; GRADE certainty = very low) and psychotic (HR, 0.97; 95% CI, 0.01-178.30; P = .06; GRADE certainty = very low) disorders were not significantly associated with increased risk of acute myocardial infarction, although they had similar point estimates to some other mental disorders. CONCLUSIONS AND RELEVANCE/UNASSIGNED:Results of this systematic review and meta-analysis suggest that depressive disorders, anxiety disorders, PTSD, and sleep disorders were associated with an increased risk of ACS. Particularly, PTSD and sleep disorders emerged as significant risk factors for ACS, indicating the potential impact of sleep quality on cardiovascular outcomes. Future research addressing these limitations could provide more nuanced insights into the association between mental health and ACS.

BACKGROUND:Although most adrenal incidentalomas are benign, many are identified by single-phase contrast-enhanced computed tomography, which is unreliable for excluding malignancy. Virtual noncontrast computed tomography is a newer modality with the potential to better characterize adrenal nodules. METHODS:Virtual noncontrast computed tomography of adrenal nodules with available reference standard of true noncontrast computed tomography were identified (2016-2024). Images were evaluated for nodule characteristics including Hounsfield unit attenuation and variability. Nodules were classified as benign (≤10 Hounsfield units) or indeterminate/suspicious (>10 Hounsfield units) by true noncontrast computed tomography. Hounsfield units were compared between virtual noncontrast computed tomography and true noncontrast computed tomography. Variability in attenuation measurements was compared by evaluating Hounsfield unit differences 1 slice up and down from the chosen mid-depth image. Receiver operating characteristic analysis was used to define optimal virtual noncontrast computed tomography accuracy thresholds. RESULTS:After excluding 5 adrenal nodules due to suboptimal imaging, 67 nodules were identified. Based on true noncontrast computed tomography Hounsfield units, 23 nodules (34.3%) were benign, and 44 (65.7%) were indeterminate/suspicious. Hounsfield unit measurements for each nodule exhibited wide variability by both virtual noncontrast computed tomography and true noncontrast computed tomography. Virtual noncontrast computed tomography and true noncontrast computed tomography were significantly correlated with moderate effect size (Pearson coefficient 0.69, P < .001). Conflicting impressions occurred for 6 nodules (9.0%). Overall, virtual noncontrast computed tomography exhibited outstanding discrimination between benign and indeterminate/suspicious nodules (area under the curve 0.94). Maintaining a threshold of ≤10 Hounsfield units achieved 93% sensitivity, 76% specificity, and 84% negative predictive value, whereas ≤7 Hounsfield units achieved 100% negative predictive value. The functional utility of virtual noncontrast computed tomography as a rule-out test applied to 16% of nodules. CONCLUSION/CONCLUSIONS:Despite wide variability in Hounsfield unit measurements, adrenal nodules are well defined by both virtual noncontrast computed tomography and true noncontrast computed tomography. Well-reconstructed virtual noncontrast computed tomography images can accurately rule out malignancy in selected patients, potentially obviating the need for additional imaging.