Citations

Abstract Background Prospective investigations on blood biomarkers for Alzheimer's disease and related‐dementias (ADRDs) and cognitive impairment provide important insights into their clinical utility in early disease diagnosis and risk stratification, but have been primarily limited to AD pathologies (e.g. amyloid‐beta and hyperphosphorylated‐tau aggregation). Studies of biomarkers reflecting other pathogenic processes that contribute to ADRDs, especially in community‐based cohorts, are lacking. We examined associations of blood biomarkers reflecting glial and neuronal dysfunction and neuroinflammation, including soluble cluster of differentiation‐14 (sCD14), chitinase‐3‐like protein‐1 (YKL‐40), glial‐fibrillary acidic protein (GFAP), neurofilament‐light chain (NfL), total‐Tau, and Ubiquitin C‐terminal hydrolase L1 (UCH‐L1) with cognitive decline and incident dementia in ARIC study participants. Methods Blood biomarkers were measured in 1,864 ARIC Visit 3 (1993‐1995) participants using the Meso Scale Discovery assay (YKL‐40), the Quanterix Simoa Neurology 4‐Plex assay (total‐Tau, NfL, GFAP, UCH‐L1), and a commercial ELISA assay (sCD14, R&D Systems); global cognition z‐scores were derived from three cognitive tests (measuring memory, language, and executive function) administered up to six times over 25 years, and incident dementia cases were ascertained via in‐person cognitive assessments (expert‐adjudicated), informant‐based interviews, and hospitalization and death records through 2018. We used shared parameter models to simultaneously fit linear mixed‐effect models and proportional hazard models to estimate 25‐year cognitive decline and dementia rates separately for each biomarker (log‐base2‐transformed), adjusting for covariates (Table). Results Among 1,864 participants (mean±SD age:63±4.5 years, 60% female, 49% self‐reported Black), 27% developed dementia. Higher levels of each biomarker were associated with faster cognitive decline. All but UCH‐L1 were associated with elevated dementia risk (Table). For example, one standard deviation (SD) higher log‐base2 YKL‐40 was associated with ‐0.10 SD steeper 25‐year cognitive decline (95%CI:‐0.15,‐0.04) and 59% higher dementia hazard (hazard ratio (HR):1.59 (95%CI:1.20,2.10); likewise, sCD14 was associated with an additional cognitive decline of ‐0.06 (95%CI:‐0.11,‐0.01) and 38% higher dementia hazard (HR:1.38 (95%CI:1.08,1.76)). Conclusions Blood biomarkers reflecting neuropathological processes, including microglial activation, astrocytic reactivity, and neuronal degeneration, were associated with faster cognitive decline and increased dementia risk, suggesting that they may aid in risk stratification and intervention strategies for ADRDs. Future analyses will examine whether these associations differ by race and APOE‐ε4 s tatus.

Abstract Background Plasma biomarkers offer improved accessibility compared to established diagnostic modalities for Alzheimer's disease (AD). However, current plasma biomarker candidates have not been tested comprehensively in diverse populations, and represent only a fraction of pathways dysregulated in AD. This study seeks to address these knowledge gaps through untargeted plasma biomarker discovery in African Americans (AA), an underrepresented group in AD research despite having a higher risk of developing dementia compared to non‐Hispanic Whites (NHW). Method Untargeted proteomics were generated using the SomaScan 7k platform on plasma samples from AA study participants clinically diagnosed as AD dementia ( n = 181) or cognitively unimpaired (CU; n = 142). Machine learning was implemented to identify a set of plasma proteins to distinguish between AD dementia and CU. Predictive models were constructed by elastic net regression optimized with nested cross‐validation on 6,853 proteins and evaluated by receiver operating characteristic analysis. The generalizability of plasma protein predictors was evaluated in an external Alzheimer's Disease Research Center cohort of 369 NHW and AA study participants diagnosed as AD dementia or CU. Result Thirty‐six proteins were selected as predictors. Proteins selected by machine learning were enriched for processes previously associated with AD including synaptic dysfunction, inflammation, vascular dysfunction, and amyloid processing. The 36 plasma proteins alone achieved an area under the curve (AUC) of 0.94 to classify AD dementia in the discovery cohort, representing a 22% improvement over a model including age and sex. The 36 proteins were validated in an external cohort also achieving AUC=0.94, a 35% improvement over age and sex. Conclusion Biomarker discovery combining untargeted proteomics and machine learning identified a set of plasma proteins that could serve as a novel and highly accurate diagnostic plasma biomarker panel for AD. Work is underway to assess the association of the predictive panel with p ‐tau217, medical comorbidities, and social/structural determinants of health.

Abstract Background Hispanic individuals are at a 1.5‐times higher risk for Alzheimer's disease and related dementias yet remain underrepresented in research. Longitudinal Hispanic cohorts provide antemortem biospecimen, cognitive, and epidemiological data, and GWAS/admixture mapping analyses identify Hispanic ancestry as a modifier of Alzheimer's disease‐associated gene expression. Additionally, antemortem‐based studies suggest an altered pathological burden in Hispanic individuals, with neuropathological reports revealing a disproportional anatomy‐dependent burden of Alzheimer's pathologies in Hispanic decedents. Despite these advances, few analyses investigate differential gene expression in dementia from postmortem brain of Hispanic decedents. To address the current knowledge gap, we investigated neuroinflammatory gene expression in Hispanic decedents with single or mixed etiology dementia. Method To quantify gene expression, RNA was extracted from postmortem frontal cortex brain tissue of Hispanic and non‐Hispanic decedents with Alzheimer's disease (AD, n = 6), cerebrovascular disease (CVD, n = 6), or a mixture of the two etiologies (ADCVD, n = 6). Following quality control, extracted RNA was hybridized to the NanoString Human Neuroinflammation panel, and gene expression quantified via SPRINT nCounter. Analysis was completed with NanoString Advanced Analysis criteria via ROSALIND®. Low counts and low background genes were omitted from analysis. Result Comparison of Hispanic decedents with either AD or ADCVD to non‐Hispanic decedents reveals shared pathway enrichment of the Astrocyte Function gene set. Respective to non‐Hispanic decedents, we find two genes in Hispanic AD and seven genes in Hispanic ADCVD that are differentially expressed. Across all samples, gene expression analysis indicates P2RY12, NRP2, PRKACB , and seven other genes are increased at the transcript level in the frontal cortex of Hispanic decedents with CVD when compared to either Hispanic or non‐Hispanic decedents with other etiologies. Conclusion These preliminary findings suggest an ancestry‐ and etiology‐specific transcriptional profile in CVD, and point to few genes modified by ancestry in AD and ADCVD. Ongoing experiments aim to determine differential gene expression relative to pathology, and to develop functional genetic models for screening. Overall, we seek to identify Hispanic ancestry‐ and disease‐specific genes among dementia etiologies as an avenue for precision medicine dementia care among an at‐risk, underrepresented population.

Abstract Background The Aging and Cognitive Health Evaluation in Elders (ACHIEVE) randomized trial ( n = 977;ClinicalTrials.gov:NCT03243422) demonstrated that hearing intervention slowed 3‐year cognitive decline by 48% among a subgroup of participants. To further investigate differences by treatment with respect to cognitive benefit, we tested the hypothesis that hearing intervention is associated with improved neurodegeneration blood biomarkers 3‐years post‐randomization and assessed whether combining biomarkers and cognitive results improved power in the trial design. Method The ACHIEVE study is a multicenter, parallel‐arm, randomized trial (hearing intervention vs health education control) on 3‐year cognitive decline among adults 70–84years with untreated hearing loss and without substantial cognitive impairment. Participants were recruited from two populations: (1) a long‐standing cardiovascular health observational study (Atherosclerosis Risk in Communities [ARIC]), and (2) de novo community volunteers. Plasma was collected in year 3 in a subsample ( n = 540) while ARIC participants ( n = 164) also had baseline plasma. Glial fibrillary acidic protein (GFAP) and neurofilament light (NfL) neurodegenerative biomarkers were derived using the Alamar CNS protein panel. Regression models estimated the association of treatment with 3‐year biomarkers and global cognitive differences in the combined sample and by recruitment source and annualized change from baseline in the ARIC sample. We included a simple composite score of the standardized outcomes (Table 2). Result Among the subsample, baseline characteristics were balanced by treatment. There were no significant differences on 3‐year neurodegeneration biomarker levels by treatment in the combined (Table 1) or de novo groups (Table 2). Among ARIC participants, intervention resulted in lower 3‐year GFAP (mean:‐0.415;95%CI:‐0.712,‐0.118) and NfL (mean:‐0.349;95%CI:‐0.652,‐0.046) (Table 2). Annualized change from baseline analyses among ARIC participants (Table 3) revealed intervention was associated with a slower rate of cognitive decline (difference‐in‐means:0.059;95%CI:0.018,0.100) and a slower rate of increase in GFAP (difference‐in‐means: ‐0.060;95%CI:‐0.112,‐0.009). Differences in estimates suggest combined score, relative to cognition alone, may increase power in clinical trials that show a positive effect (ARIC subgroup: p = 0.02vs. 0.08[Table 2] and p = 0.0009vs.0.048[Table 3]). Conclusion Hearing intervention was associated with positive 3‐year effects on neurodegeneration blood biomarkers in ARIC participants which parallels cognitive decline results. Results provides objective evidence of brain changes following hearing intervention and potential signal of a more powerful combined outcome approach for future brain health clinical trials.

Traumatic brain injury (TBI) is one of the leading causes of death and neurological disability worldwide. The search for biomarkers that indicate TBI severity and prognosis with greater accuracy is ongoing. This study aimed to evaluate the significance of several neuroinflammatory cytokines and chemokines, assessing their potential as biomarkers in pediatric TBI (pTBI). This was an exploratory analysis of inflammatory cytokines and chemokines measured in a subset of 26 children aged 0–18 years with TBI and 21 controls. TBI severity was determined by GCS. The functional outcome was measured via the GOS-E score at 6 weeks and 3, 6, 9, and 12 months post-injury. Serum samples were analyzed for ICAM-1, VCAM-1, SAA, CRP, IFN-g, IL-10, IL-12p70, IL-13, IL-1b, IL-2, IL-4, IL-6, IL-8, TNF-a, TNF-b, eotaxin, eotaxin-3, IP-10, MCP-1, MCP-4, MDC, MIP-1a, MIP-1b and TARC. Levels of IL-6, IL-10, IL-13, IL-16, MDC, and GM-CSF were increased, and IFN-γ, IL-5, IL-8, and eotaxin-3 were decreased at enrollment when compared with controls. Elevated IL-6 and IL-10 at enrollment were associated with severe TBI (AUC of 1, p = 0.0002 and p = <0.0001, respectively). IL-6, IL-10, IL-16, and TNF-β at enrollment and IL-5 at 24 h were elevated in children with unfavorable outcomes, with an AUC > 0.8, suggesting biomarker potential. Our data indicate that several cytokines and chemokines measured after TBI may aid in the assessment of pTBI severity and prognosis. IL-6, IL-10, and IL-16 may show potential as biomarkers for pTBI severity and outcomes.

ABSTRACT Background Immunomodulatory agents (IMiDs) are a cornerstone in the successful management of multiple myeloma (MM). However, acquired IMiD resistance leading to disease relapses remains a major barrier. Hydrogen peroxide generation and oxidative stress are key mediators that determine IMiD's effectiveness in MM. Iron plays a key role in the generation of oxidative stress; therefore, cellular iron levels are tightly governed. FTH1 is the major iron storage protein that tightly regulates cellular iron availability. Hence, the present study is targeted to investigate the role of FTH1 in MM and IMiD resistance. Methods IMiD‐sensitive and IMiD‐resistant MM cells were analyzed for expression of iron‐metabolism genes. CRISPR‐cas9‐mediated knockout of FTH1 was performed and the after‐effects were assessed through multiple experiments. Results Initial analysis showed a positive correlation between FTH1 expression and IMiD resistance in MM cells. FTH1 ‐KO reduced IMiD sensitivity in the KMS11 cell line but had no effect on the RPMI8226 cell line. RNA‐seq data showed downregulation of ER‐stress and calcium signaling genes after FTH1 ‐KO. Further, KMS11‐ FTH1 KO cells exhibited lower intracellular ROS, labile‐iron, and mitochondrial superoxide levels along with increased CD63, suggesting activation of L‐ferritin secretory pathways. Conclusion Data reveals a link between FTH1 , labile iron, ROS, and IMiD resistance in MM cells.

Proper organization of the enteric nervous system (ENS) is critical for normal gastrointestinal (GI) physiology. Inflammatory bowel disease (IBD) disrupts key GI functions, including bowel motility. However, in many IBD patients, motility disorders persist even during remission, suggesting an irreversible ENS defect secondary to IBD. Here, we show that postinflammatory GI motility dysfunction arises from structural remodeling of the ENS, driven by a combination of neuronal loss and neurogenesis. During mucosal inflammation, enteric neurons upregulate CCL2 expression, facilitating the recruitment of monocytes into the myenteric plexus within the intestinal muscle. Monocyte-derived macrophages infiltrate the myenteric ganglia, contributing to excessive ENS remodeling and postinflammatory motility dysfunction. This neuroimmune axis is counterbalanced by a hypoxia-induced stress response in enteric neurons mediated by HIF1α. Enhancing the neuron-intrinsic hypoxia pathway limits ENS remodeling and preserves motility. In summary, this study presents a mechanistic model of postinflammatory GI motility dysfunction and proposes a therapeutic strategy to maintain ENS integrity and function during inflammation.

Background: Splanchnic venous thrombosis (SVT) is a potentially severe and frequently underdiagnosed complication following splenectomy in patients with hematologic diseases. Despite its clinical importance, no standardized, evidence-based guidelines currently exist to inform perioperative prevention, diagnosis, or treatment in this population. Materials and Methods: A systematic review and meta-analysis were conducted following PRISMA guidelines to estimate the incidence and risk factors for SVT after splenectomy in patients with hematologic diseases. Twenty-eight observational studies comprising 5025 patients were included. Risk factor data were analyzed using random-effects models. In parallel, an international Delphi consensus process was performed involving 35 experts (hematologists and surgeons) from 14 countries. Experts were assigned to five domain-specific groups and developed clinical statements on prophylaxis, diagnosis, and management of SVT. Consensus was defined as ≥80% agreement, and recommendations were graded using the GRADE framework. Results: The pooled incidence of SVT after splenectomy was 11.4%, with higher rates in studies using routine imaging (20.7%) and those conducted at single centers (15.1%). Splenic size and weight were significant risk factors, while age, BMI, and platelet count were not. Disease-specific risk was highest in patients with myeloproliferative neoplasms, lymphoma, and thalassemia. The Delphi process generated 25 consensus statements, 14 of which were classified as strong recommendations. Key guidance included perioperative vaccination, individualized thromboprophylaxis with BMI-adjusted low molecular weight heparin, selective Doppler-based screening in high-risk patients, and stepwise anticoagulation regimens based on thrombus burden and clinical evolution. Conclusion: This study presents the first international consensus-based guidelines for managing SVT after splenectomy in patients with hematologic disease. Developed through systematic evidence synthesis and expert consensus, these recommendations provide a practical framework rather than definitive standards of care and support individualized prevention, detection, and treatment strategies in this high-risk population.

Abstract Context Adult growth hormone (GH) deficiency (GHD) is characterized by metabolic abnormalities caused by insufficient GH production. Lonapegsomatropin, a prodrug administered once weekly, was designed to provide sustained release of unmodified somatropin to reduce the burden of daily somatropin injections. Objective This work aimed to evaluate the efficacy and safety of lonapegsomatropin vs placebo as treatment for adults with GHD. Methods The foresiGHt trial was a multicenter, randomized, parallel-arm, placebo-controlled (double-blind) and active-controlled (open-label) trial (NCT04615273) conducted at 116 centers in North America, Europe, and Asia-Pacific. The trial randomly assigned and dosed 259 adults with GHD. Participants were randomly assigned 1:1:1 to receive once-weekly lonapegsomatropin, once-weekly placebo, or daily somatropin for 38 weeks. The primary efficacy end point was change from baseline in trunk percent fat at week 38. Secondary efficacy end points included change from baseline in trunk fat mass and total body lean mass. Results At week 38, lonapegsomatropin significantly reduced trunk percent fat (−1.68% vs +0.37%; least squares [LS] mean difference −2.04%; P &lt; .001), increased total body lean mass (+1.60 kg vs −0.11 kg; LS mean difference 1.70 kg; P &lt; .0001), and reduced trunk fat mass (−0.48 kg vs +0.22 kg; LS mean difference −0.70 kg; P = .0053) vs placebo. The safety and tolerability profile of lonapegsomatropin was comparable to somatropin. Conclusion The foresiGHt trial met its primary efficacy end point by demonstrating superiority of lonapegsomatropin vs placebo with similar safety and tolerability, supporting its potential as a once-weekly treatment option for adults with GHD.

Abstract Combination therapy incorporating programmed cell death protein 1 (PD-1) blockade results in unprecedented response rates in both frontline and relapsed/refractory (R/R) classical Hodgkin lymphoma (cHL). Previous retrospective studies have suggested benefit for PD-1 blockade before autologous stem cell transplant (ASCT) but included few patients receiving PD-1 blockade with cytotoxic chemotherapy. To explore the impact of anti–PD-1 based salvage on outcomes for patients with R/R cHL, we retrospectively reviewed 1280 patients with R/R cHL who underwent ASCT from 2010 to 2022 at 6 transplant centers, none of whom received PD-1 blockade as part of frontline therapy. Overall, 25% received a PD-1 inhibitor at any point before ASCT (10% in conjunction with chemotherapy), 28% received salvage brentuximab vedotin (BV) without PD-1 blockade, and the rest received salvage chemotherapy alone. Patients who received PD-1 inhibitors at any point before ASCT had a significantly higher 2-year progression-free survival than those who received BV without PD-1 inhibitors or patients receiving chemotherapy alone (88.2%, 70.2%, and 67.4%, respectively; P&lt; .0001). When restricted to patients in complete response before ASCT, the benefit of PD-1 blockade remained significant. PD-1 blockade before ASCT is independently associated with superior post-ASCT outcomes and patients proceeding to ASCT should be treated with PD-1–based salvage.