Citations

Objective: The Complete Cochlear Implant Care (CCIC) model is a highly coordinated care delivery model reducing and condensing in-person visits for cochlear implant (CI) patients, leveraging telehealth and remote programming. Clinical, quality-of-life, implementation, patient experience, and financial outcomes of the clinical trial are reported. Study design: Prospective, nonrandomized, 2-arm clinical trial Setting: Tertiary referral CI center Patients: Adult CI candidates Interventions: Cochlear implantation Main outcome measures: Speech perception, quality of life, implementation, patient experience, and financial outcomes for both CCIC and traditional care delivery models. Results: Patients participating in the traditional and CCIC delivery models demonstrated 12-month postoperative speech perception scores comparable to nationally reported outcomes (CNC 61% and 72% and AzBio in quiet 75% and 87% for traditional and CCIC cohorts, respectively). Quality-of-life evaluation using the CIQOL-10 demonstrated similar 12-month postoperative scores between groups (52 and 54 for traditional and CCIC cohorts, respectively). The CI Patient Experience Survey demonstrated high satisfaction outcomes in ease of communication, preparedness for surgery, and overall care in both cohorts. Implementation analysis of the CCIC model revealed perceived benefits from staff and clinicians; however, support for expansion of the program was contingent upon the availability of app-based or web-based remote programming technology. Finally, financial analysis revealed decreased out-of-pocket costs for CCIC patients. Conclusion: The CCIC model has the potential to dramatically streamline hearing health care delivery and reduce out-of-pocket costs for CI recipients. Clinical outcomes between cohorts were comparable in this feasibility study; however, a sufficiently powered trial is required to definitively comment on clinical outcomes with the new care delivery model.

Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, increasingly arising in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Epigenetic dysregulation, particularly DNA methylation, has been implicated in MASLD-HCC development, yet the roles that the principal DNA methylation precursor metabolites, S-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH), play in this association are unclear. Objective: We investigated associations of circulating SAM, SAH, the SAM/SAH ratio, with MASLD-HCC. Methods: In a multi-center pilot case–control study, we evaluated 69 MASLD-HCC cases and 136 cancer-free MASLD controls. Plasma SAM and SAH levels were quantified by liquid chromatography–tandem mass spectrometry. Metabolite levels were categorized as greater than or less than the median based on distribution in controls. Logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for age, sex, body mass index, smoking status, and type 2 diabetes. Results: MASLD-HCC cases had significantly higher plasma SAM levels (mean 121 vs. 96 nmol/L; p = 0.001) and SAM/SAH ratios (2.09 vs. 1.48; p = 6.42 × 10−7) than MASLD controls. In multivariable-adjusted models, elevated SAM levels (OR≥median vs. <median = 2.76; 95% CI: 1.38–5.72) and higher SAM/SAH ratio (OR≥median vs. <median = 2.30; 95% CI: 1.15–4.73) were associated with higher odds of MASLD-HCC. SAH alone was associated with MASLD-HCC. Conclusions: Higher plasma SAM levels and SAM/SAH ratios are independently linked to MASLD-HCC development. These metabolites might serve as noninvasive markers for HCC risk stratification in patients with MASLD and improve early detection efforts for MASLD-HCC.

Cardiovascular morbidity and mortality rise precipitously during the 6th–9th decades of life, identifying aging as a critical risk factor. Simultaneously, older individuals are susceptible to severe viral infection, raising the question whether shared mechanisms exist that predispose to both cardiovascular disease (CVD) and failing anti-viral immunity. The aging process causes steady decline in immune fitness (immune aging), which undermines the ability to generate protective anti-viral immune responses. Paradoxically, the aging immune system supports unopposed inflammatory pathways (inflammaging), which exacerbates tissue inflammation in CVD, specifically atherosclerosis. Here, we review the current evidence of how innate and adaptive immune aging promotes tissue-destructive inflammation in atherosclerosis while failing to fight viral infections. Further, we consider how these two disease processes mutually influence each other. We propose that mounting an effective anti-viral response induces off-target bystander activation and exhausts immune cells, ultimately exacerbating CVD. Additionally, we explore how atherosclerotic CVD impacts innate immunity through epigenetic modification of hematopoietic precursors and metabolically conditioning immune cells, leading to a dysfunctional immune system that accelerates plaque inflammation while simultaneously impairing host defense.

Abstract INTRODUCTION Visual hallucinations (VHs) represent one of the core clinical features of dementia with Lewy bodies (DLB); however, their underlying pathology remains unclear. METHODS We employed proximity ligation assay (PLA) and phosphorylated α‐synuclein (αSYN) immunohistochemistry to compare αSYN oligomers and Lewy‐related pathology across brain regions along the ventral visual pathway in patients with and without VHs (five patients each). RESULTS Greater αSYN oligomer burden in the parahippocampal cortex was observed in patients with VHs compared to those without ( p = 0.041), whereas the burden of Lewy‐related pathology was similar between groups. DISCUSSION Our findings suggest that αSYN oligomers, rather than conventional Lewy‐related pathology, may be more closely associated with VHs in DLB. This provides novel evidence linking αSYN oligomers to a core clinical feature in DLB and suggests potential therapeutic targets for managing VH in these patients. Highlights Visualization of αSYN oligomers by PLA and quantitative neuropathologic analysis. Abundant αSYN oligomers in parahippocampal cortex of DLB with VHs. First human brain study linking αSYN oligomers to VHs. Potential oligomer‐targeted therapy for managing VH in DLB.

Persistent pain remains a major challenge in inflammatory arthritis, even when joint inflammation is well controlled. Pain and associated symptoms such as fatigue cannot be explained by peripheral inflammation alone but reflect altered central pain processing. These changes may arise through “top‐down” mechanisms, reflecting pre‐existing dysfunction in pain perception, or “bottom‐up” pathways, driven by peripheral inflammation acting on the brain. Neuroimaging has transformed understanding of these processes by providing in vivo markers of how brain function and structure are related to pain. Functional magnetic resonance imaging (MRI) demonstrates that both task‐evoked and resting‐state activity are altered in inflammatory arthritis. Connectivity changes involving the thalamus, insula, medial prefrontal cortex, and default mode and salience networks correlate with pain, fatigue, and affective symptoms. Notably, tumor necrosis factor α (TNF‐α) inhibitors rapidly normalize pain‐related activation, preceding improvements in joint swelling, strongly supporting a bottom‐up role for peripheral inflammation. Recent randomized controlled trial data show that baseline central nervous system pain activation predicts analgesic response to TNF‐α blockade, positioning neuroimaging as a potential tool for treatment stratification. Complementary modalities provide further insights. Proton electron tomography studies suggest altered pain responses, and novel tracers may clarify contributions of neuroinflammation. Magnetic resonance spectroscopy reveals neurochemical correlates such as increased choline and myo‐inositol linked to fatigue, although group‐level evidence for overt neuroinflammation remains limited. Structural MRI highlights gray matter changes in regions mediating sensory, cognitive, and affective processing. Together, this supports a dual top‐down and bottom‐up model of persistent pain in inflammatory arthritis, with important implications for mechanism‐based therapies targeting both immune and brain pathways. image

Introduction: Ureteroscopy (URS) is the most commonly performed surgery for the management of renal stones. Post-URS sepsis has been reported to be around 5%, but most studies rely on purchased datasets or electronic medical record (EMR) data that pull data based on billing codes of sepsis without clinical verifications. This study aims to evaluate the true incidence of sepsis using the Sepsis-3 criteria at a single tertiary care institution. Methods: A retrospective review was conducted on all URS procedures at a single tertiary care institution from 2021 to 2022, including both Medicare and private insurance patients ≥18 years old. The EMR was queried for URS procedure codes and readmission within 30 days post-procedure with a sepsis diagnosis code. All other procedures, including URS during percutaneous nephrolithotomy, were excluded. Each identified case was evaluated for sepsis using the Sepsis-3 criteria, including sequential organ failure assessment (SOFA) and quick SOFA (qSOFA). Results: A total of 1316 patients underwent URS. Nineteen patients were identified with a sepsis diagnosis, giving an initial post-URS sepsis rate of 1.44%. After EMR verification, 5 patients were excluded, leaving 14 (1.06%) patients with a diagnosis code of sepsis. Using Sepsis-3 criteria, only 6 (0.44%) met the diagnosis. Conclusions: This retrospective review identified only 0.44% of patients with a true post-URS sepsis within 30 days using Sepsis-3 criteria. The difference in our rate from the initial query and current literature highlights the need for accurate clinical diagnosis and documentation of sepsis.

Abstract Purpose: Routine testing for mismatch repair deficiency (dMMR)/microsatellite instability (MSI) in colorectal cancers is recommended for Lynch syndrome screening, prognosis, and treatment guidance. In the metastatic setting, RAS/BRAF mutations guide treatment decisions. The impact of these mutations on the tumor immune microenvironment (TiME) in MSI/dMMR colorectal cancer is not known. Experimental Design: The study involved retrospective analysis of 448 patients with stage I to IV MSI/dMMR colorectal cancer profiled using next-generation sequencing (Tempus xT DNA sequencing of 595–648 genes at 500x coverage and Tempus xR whole-exome capture RNA sequencing). MSI status was determined by assessing 44 or 239 loci using next-generation sequencing. dMMR was determined using IHC. Tumor mutational burden, tumor neoantigen burden (NTB), PD-L1, immune infiltration, and canonical immune pathways (76 gene set signatures) were analyzed. Results: The median age at diagnosis was 67 years (range, 21–86); 59% of patients were female, and 70% were stage III to IV. Among the 448 patients, 100 (22%) harbored RAS mutations (RASmut), 119 (27%) a BRAFV600E mutation, and 229 (51%) were double wild type. RASmut exhibited lower NTB (median, 12 vs. 15 vs. 16; P = 0.003) and PD-L1 (3.6% vs. 13% vs. 24%; P &lt; 0.001) than BRAFV600E and wild-type tumors, respectively. The RASmut TiME had lower overall inflammation and fewer infiltrating CD8+ T cells than wild-type or BRAFV600E tumors. In contrast, BRAFV600E tumors exhibited hyperproliferative characteristics associated with broad metabolic reprogramming but a similarly inflamed TiME compared with wild-type tumors. Conclusions: Our data suggest that MSI/dMMR colorectal cancers harboring RASmut are less immunogenic, and the TiME contains a lower inflammatory profile than wild-type or BRAFV600E tumors. Further analysis and validation are required to confirm these findings.

Abstract Aims Activating transcription factor 4 (ATF4) functions as a transcriptional regulator in various cell types and tissues under both physiological and pathological conditions. While previous studies have linked ATF4 activation with promoting cardiomyocyte (CM) death in dilated cardiomyopathy (DCM), atrial fibrillation, and heart failure, its role in developing CMs remains unexplored. Methods and results We generated multiple distinct CM-specific (Atf4cKO(e2/3/pA) and Atf4cKO(e2)) and global Atf4 knockout (KO; Atf47del/7del and Atf41ins/1ins) mouse models targeting different Atf4 regions, as well as CM-specific deletion of Rps19bp1 to study cardiac phenotypes. Detailed morphological and molecular analyses were performed. Atf4cKO(e2/3/pA) [targeting exon 2–3 including the polyadenylation signal (polyA)] mice exhibited severe cardiac defects and died before E17.5, likely due to ectopic activation of the p53 signaling pathway resulting from Rps19bp1 downregulation, a potent suppressor of p53. Further investigation revealed that deleting the polyA signal of Atf4 in Atf4cKO(e2/3/pA) mice led to transcriptional readthrough, resulting in the formation of an Atf4-Cacna1i fusion transcript and Rps19bp1 downregulation. To avoid readthrough while abolishing ATF4 function, we introduced small indels into exon 3 of Atf4 in mice (Atf47del/7del and Atf41ins/1ins), which showed normal Rps19bp1 expression and cardiac morphology. Importantly, CM-specific deletion of Rps19bp1 recapitulated the cardiac defects and transcriptional change seen in Atf4cKO(e2/3/pA) mice. Conclusion We found that the downregulation of Rps19bp1, not the loss of ATF4 function, underlies the cardiac phenotypes in Atf4cKO(e2/3/pA) mice. The reduced expression of Rps19bp1 in Atf4cKO(e2/3/pA) mice is likely due to the unintentional deletion of Atf4 polyA signal and subsequent transcriptional readthrough, underscoring the essential role of RPS19BP1, not ATF4, in cardiac development. Consistent Rps19bp1 downregulation has been observed in other tissue-specific Atf4 KO models utilizing the Atf4fl(e2/3/pA) allele, suggesting that previously reported Atf4 KO phenotypes may result from Atf4 transcriptional readthrough effects. These findings reveal a locus-dependent transcriptional interference mechanism and emphasize the importance of avoiding confounding cis effects in genetically engineered models.