Citations

Objectives Directly compare the brain glucose patterns seen with [F‐18] fluorodeoxyglucose (FDG) positron emission tomography (PET) between 2 genetically determined forms of Alzheimer's disease: Down syndrome (DS) and autosomal dominant Alzheimer's disease (ADAD). Methods Cross‐sectional analyses of FDG were performed in individuals with DS (n = 76) from the Alzheimer Biomarker Consortium‐Down Syndrome (ABC‐DS), ADAD (n = 297), and neurotypical familial controls (n = 188) from the Dominantly Inherited Alzheimer Network (DIAN). Within‐group linear regression models and generalized additive models were performed for select regional FDG uptake measures (isthmus cingulate and inferior parietal, precuneus, middle temporal gyrus, and precentral gyrus). Age, sex, apolipoprotein (APOE) ε4 carrier status, and cortical amyloid burden were included within these analyses. Results Even 20 years before expected onset of clinical symptoms, FDG uptake was lower for DS compared to neurotypical familial controls ( p < 0.01). ADAD baseline FDG was similar to neurotypical familial controls until 7 years before expected symptom onset. Both symptomatic individuals with DS and ADAD had lower FDG compared to neurotypical familial controls ( p < 0.01). A higher amyloid burden was associated with lower FDG for both genetic forms, with similar rates of decline in FDG uptake for DS and ADAD who were amyloid positive. Interpretation Brain glucose metabolism is substantially lower for people with DS, even in individuals who are cognitively stable. The patterns of FDG decline are distinct in these 2 genetically determined forms of AD. The diagnostic utility of FDG‐PET is specific to the genetic form of AD. ANN NEUROL 2025;98:1237–1248

Objective To establish a framework for validating candidate biomarkers of cerebral small vessel diseases (SVD) associated with cognitive impairment and characterize individuals enrolled by the MarkVCID2 consortium under this framework. Methods Participants age 60 to 90 years were enrolled across 17 MarkVCID2 sites. Recruitment was targeted to enrich in cognitive symptoms (mild dementia, mild cognitive impairment, subjective cognitive decline), defined risk factors (diabetes mellitus, advanced hypertension), and Black/African American, White, and Hispanic/Latino subgroups. Enrolled participants underwent baseline visits that included cognitive testing, multimodal magnetic resonance imaging (MRI), and biofluid collection. Provisional risk for SVD‐related cognitive decline was estimated primarily by baseline cognitive symptoms plus SVD risk factors. Adjudicated risk status was estimated by cognitive symptoms plus presence of moderate‐to‐severe white matter hyperintensities, microbleeds, or lacunes on baseline MRI. Results MarkVCID2 enrolled 1883 individuals age 73.4 ± 7.5 years, 65.0% female, 24.2% Hispanic, and 27.1% non‐Hispanic Black. Among enrollees, 44.8% were provisionally designated high‐risk. After baseline MRI, 48.5% were categorized as adjudicated high‐risk status, with substantial recategorization both from low‐ to high‐risk (primarily because of MRI lesions without SVD risk factors) and high‐ to low‐risk (primarily suspected cognitive impairment at screening not confirmed by baseline testing). Interpretation MarkVCID2 baseline data indicate successful enrollment of diverse individuals enriched in factors associated with SVD‐related cognitive decline. Changes over 3 years of longitudinal follow‐up will be analyzed to validate the candidate biomarkers for 2 projected contexts of use: subject selection (identifying likelihood of future SVD progression) and study outcome (efficiently measuring SVD progression). ANN NEUROL 2026;99:449–458

Abstract Objectives Hepatic steatosis impacts the quality of grafts, affecting transplant outcomes. Rising obesity rates and subsequent donor graft steatosis further influence the organ shortage crisis in pediatric liver transplantation (LT). Our study aimed to evaluate how donor steatosis modulates the outcomes of pediatric LT. Methods We analyzed the United Network of Organ Sharing database for transplanted donor grafts from January 01, 2004, to April 30, 2024. We stratified pediatric (≤18 years) LT recipients into steatotic grafts, subdivided into <30% and ≥30%. Graft failure was assessed using Kaplan–Meier curves, and Cox proportional hazards models, with Lasso regression identifying key predictive variables. Gradient‐boosting decision tree was used to assess the level of likelihood importance for post‐LT survival. Results Five hundred and ninety‐five pediatric LT recipients were included; 62 (10.4%) received donors with steatosis levels ≥30%. Survival rates for steatotic grafts ≥30% were 93.5% at 1 year, 89.9% at 5 years, and 84.4% at 10 years, compared to 94.7%, 89.5%, and 85.2% respectively, among steatotic grafts <30% ( p = 0.72, p = 0.92, and p = 0.92). Donor age (adjusted hazard ratio [aHR]: 1.01, 95% confidence interval [CI]: 1.01–1.03), donation after cardiac death (DCD) (aHR: 10.68, 95% CI: 3.27–34.86), and recipient life support (aHR: 1.95, 95% CI: 1.19–3.20) were associated with an increased risk of mortality. Conclusion Steatotic grafts in pediatric patients had acceptable outcomes. Predictors of mortality in steatotic grafts, including donor age, DCD, and recipient life support, underscore the complex interplay of multiple factors in post‐LT outcomes.

Abstract Mesenchymal stem cell (MSC)-derived exosomes are recognized as critical mediators within the tumor microenvironment (TME), exerting both pro- and anti-tumorigenic effects depending on contextual factors. These vesicles are also gaining attention for their potential as therapeutic vehicles in regenerative medicine and targeted drug delivery. However, the influence of the TME on the physical characteristics of MSC-derived exosomes remains poorly understood. In this study, we utilized Atomic Force Microscopy (AFM) to investigate the morphological and nanomechanical properties of MSC-derived exosomes under standard and TME-like conditions. AFM imaging in fluid mode preserved the native structure of exosomes and enabled high-resolution analysis of their topography, surface roughness, stiffness, adhesion, and deformation. AFM offers unique advantages in exosome research by enabling label-free, nanoscale analysis of vesicle properties in near-physiological conditions. The ability to detect such subtle but functionally significant changes highlights the relevance of AFM in exosome characterization and quality assessment. Our results revealed that exposure to the TME induces marked changes in exosomal membrane morphology and mechanical behavior, including increased surface heterogeneity, higher stiffness, and altered adhesive interactions. These biophysical alterations may reflect changes in membrane composition and protein or lipid cargo, potentially affecting exosome function, uptake, and therapeutic efficacy. Overall, our findings provide new insights into how the TME modulates MSC exosome biophysics and underscore the utility of AFM-based techniques for advancing the development of exosome-based diagnostics and therapies. This can provide a conceptual framework for future mechanistic and translational studies in this area.

Abstract Background Mitotane monotherapy is the standard adjuvant treatment for adrenocortical carcinoma (ACC), yet reliable predictors of treatment response remain lacking. Given the well-recognized interplay between inflammation and cancer progression, serum inflammation-based scores have shown prognostic significance in various malignancies, including ACC in palliative settings. However, their relevance during adjuvant mitotane therapy remains uncertain. This study aimed to assess the prognostic value of inflammation-scores in patients with ACC receiving adjuvant mitotane. Methods Multicenter ENSAT retrospective study including patients with ACC treated with adjuvant mitotane as first-line therapy. Clinical data including age, sex, ENSAT tumor stage, Ki67 index, resection status, and hormone secretion were collected at diagnosis. Inflammation-scores - neutrophil-to-lymphocyte ratio (NLR), derived NLR (dNLR), systemic immune inflammation index (SII), and pan-immune-inflammation value (PIV) - were calculated at diagnosis (pre-surgery) and at mitotane start. Median values of inflammation-scores at diagnosis defined low and high levels. Overall survival (OS) and time to progression (TTP) from mitotane start were the primary endpoints. Results The study included 395 patients (66% female; median age: 51 years). Median time to mitotane start was 54 days (IQR: 32–90). At diagnosis, patients with glucocorticoid excess (n=84) had significantly higher inflammation-scores than those without (n=104): NLR (3.61 vs 2.53), dNLR (2.31 vs 1.72), SII (864.1 vs 679.3), and PIV (531.6 vs 343.1); all p≤0.005. All scores significantly declined after surgery (p&lt;0.05). Higher inflammatory scores at diagnosis were associated with worse OS (NLR: HR=3.85, 95%CI=1.95–7.59, p&lt;0.001; dNLR: HR=3.19, 95%CI=1.67- 6.08, p&lt;0.001; SII: HR=1.97, 95%CI = 1.07–3.61, p=0.03; PIV: HR=2.11, 95%CI=1.13-3.95, p=0.02). However, only the NLR and dNLR remained independently associated with OS at multivariate analysis adjusted for ENSAT stage, Ki67 index, and resection status (p&lt;0.05). At mitotane start (n=372), high SII and PIV were associated with shorter TTP (SII: HR=1.36, 95%CI=1.02-1.82, p=0.03; PIV: HR=1.40, 95%CI=1.04-1-87, p=0.02), with only SII remaining significant at multivariate regression (p=0.04). Conclusions Inflammation-based scores are higher in patients with glucocorticoid excess and decrease postoperatively. NLR and dNLR at diagnosis, and SII at mitotane start, are associated with clinical outcomes in patients with ACC receiving mitotane adjuvant monotherapy. These readily available markers may help improve prognostic stratification in clinical practice.

Mood disorders are among the most disabling and complex psychiatric conditions, affecting millions worldwide and contributing substantially to morbidity, mortality, and healthcare utilization [...]

Abstract Aims The pathophysiology of tricuspid regurgitation (TR) during exercise in heart failure with preserved ejection fraction (HFpEF) is not well understood. Methods and results We investigated dynamic changes in TR severity during exercise in patients with HFpEF and associated relationships with haemodynamics, cardiopulmonary reserve, and prognosis using invasive haemodynamic exercise testing with simultaneous echocardiography and expired gas analysis. Among 169 patients with HFpEF (91 no TR, 44 mild TR, 34 ≥ moderate TR), older age and atrial fibrillation were more common in patients with greater TR severity. Right heart remodelling and dysfunction were more frequently observed with greater TR severity, particularly in the right atrium, along with stepwise increases in right atrial (RA) pressure and interventricular septal flattening, and decreases in cardiac output (CO). During exercise, TR severity frequently worsened, and over half of the patients with moderate TR at rest displayed severe TR during exercise, accompanied by profound RA dilatation, reduced RA reservoir strain, increased septal flattening, and more severely impaired CO reserve. Abnormalities in tricuspid annular motion and ventricular interaction were amplified by exercise with greater TR, but exercise pulmonary vascular pressures did not differ across groups. Patients with ≥ moderate TR during exercise displayed higher event rates (hazard ratio 2.85, 95% confidence interval 1.18–6.85), but patients with mild TR had similar prognosis as those without TR in adjusted models. Conclusions Tricuspid regurgitation in HFpEF is related to advanced RA myopathy and often worsens during exercise leading to dynamic right-sided heart failure, exaggerated ventricular interaction, impaired CO reserve, and increased risk for adverse outcomes. These data emphasize the clinical importance of exercise evaluation and call for further study of novel treatments in those with significant resting and provocable TR.

Abstract Intravital microscopy enables dynamic and real‐time visualisation of microscopic structures in living tissues without the need for fixation, with real‐life applicability being illustrated by several first‐in‐human studies in different cancers. Its use in preclinical models has yielded important observations of the microvasculature of both healthy and diseased tissues. It has further enabled the observation of the interactions between important components of the tissue microenvironment such as immune cells and neighbouring microvessels. Important recent technological advances, however, have enabled the translation of this technology to human use. Here, we review the main advances in intravital microscopy and some of the most recent uses in different human disease settings.

Abstract Background Opioid stewardship policies could adversely affect pain management for patients with cancer. Yet patients with cancer are also at risk for opioid‐related harms. This study sought to determine trends in opioid prescribing by clinical stratum and pain for patients with cancer from 2016 to 2020. Methods A retrospective study was conducted of opioid‐naive adults with newly diagnosed cancer from 2016 to 2020 ( N = 10,232) in a large Connecticut health system. Logistic regression was used to calculate changes in the predicted probability of opioid prescribing from 2016 to 2020. Two subpopulations were examined: patients treated surgically ( n = 4405) and patients with metastatic cancer ( n = 2158). Flowsheet pain scores for patients with metastatic cancer were used to stratify by no pain (all scores, 0) versus any pain. The main outcomes were new (≥1 prescription in the 0–6 months after diagnosis) and additional (0–6 and 7–9 months) opioid prescriptions. Results A decline was observed in the predicted probability of new (71.1% to 64.6%; p < .001) and additional prescribing (27.2% to 24.2%; p = .07 [not significant]) declined. Among surgical patients, the predicted probability of new opioid prescribing fell (96.0% to 88.6%; p < .001), whereas additional prescribing was stable (13%). For patients with metastatic cancer with pain, new opioid prescribing was stable (56%). For those reporting no pain, the predicted probability of new opioid prescribing declined from 61.6% to 36.1% ( p < .001). Conclusions In the context of widespread policy changes, this study showed a modest decline in new and additional opioid prescribing for patients with cancer. In metastatic cancer, prescribing remained stable for patients reporting pain and declined steeply for those reporting no pain.

Objectives The ‘tumour, node, metastasis’ (TNM) classification of colorectal cancer (CRC) predicts prognosis and so is vital to consider in analyses of patterns and outcomes of care when using electronic health records. Unfortunately, it is often only available in free-text reports. This study aimed to develop regex-based text-processing algorithms that identify the reports describing CRC and extract the TNM staging at a low computational cost. Methods The CRC and TNM extraction algorithms were iteratively developed using 58 634 imaging and pathology reports of patients with CRC from the Oxford University Hospitals (OUH) and Royal Marsden (RMH) NHS Foundation Trusts (FT), with additional input from Imperial College Healthcare and Christie NHS FTs. The algorithms were evaluated on a stratified random sample of 400 OUH development data reports and 400 newer ‘unseen’ OUH reports. The reports were annotated with the help of two clinicians. Results The CRC algorithm achieved at least 93.0% positive predictive value (PPV), 72.1% sensitivity, 64.0% negative predictive value (NPV) and 90.1% specificity for primary CRC on pathology reports. On imaging reports, it demonstrated at least 78.0% PPV, 91.8% sensitivity, 93.0% NPV and 80.9% specificity. For the main T/N/M categories, the TNM algorithm achieved PPVs of at least 93.9% (T), 97.7% (N) and 97.2% (M), and sensitivities of 63.6% (T), 89.6% (N) and 64.8% (M). NPVs were at least 45.0% (T), 91.1% (N), 88.4% (M), and specificities 95.7% (T), 98.1% (N), 99.3% (M). Reductions in performance were mostly due to implicit staging. For extracting explicit TNM stages, current or historical, the algorithm made no errors on 400 pathology reports and six errors on 400 imaging reports. Conclusion The TNM algorithm accurately extracts explicit TNM staging, but other methods are needed for retrieving implicit stages. The CRC algorithm is accurate on non-supplementary reports, but outputs need additional review if higher precision is required.