Citations

Abstract Background Late preterm (LP) children (34 0/7 – 36 6/7 weeks of gestation) are at risk for neurocognitive challenges, yet the neuroanatomic and functional disruptions underlying these developmental differences remain poorly understood. Purpose or Hypothesis Investigate (1) regional differences in cortical surface area and thalamic nuclei volume and (2) structural variations that may explain heterogeneity in neurocognitive functioning in LP versus full term (FT) school-aged children, using two complementary approaches: a vertex-wise analysis of cortical surface area and a region-of-interest volumetric analysis of thalamic nuclei. Study Type Secondary analysis of a prospective observational cohort study. Population or Subjects 48 LP and 72 FT children aged 6–13 years. Field Strength/Sequence 3T; Sagittal T1-weighted MP-RAGE and axial T2-weighted 3D SPACE. Assessment FreeSurfer 7.4.1 was used to parcellate cortical regions (Destrieux atlas) and segment thalamic nuclei (25 nuclei). Neurocognitive functioning was assessed across four domains: hyperactivity/inattention (Pediatric Behavior Scale), processing speed (WISC-IV), working memory (WISC-III), and visual-spatial perception (Benton JLO). Statistical Tests Independent samples t-tests for group comparisons; vertex-wise GLMs for cortical surface analyses with false discovery rate (FDR) correction; and multiple linear regression for thalamic nuclei analyses with FDR-corrected q < 0.05. Results Vertex-wise analyses revealed regional differences in cortical surface area between LP and FT children in both hemispheres, along with associations between surface area in several cortical regions and hyperactivity/inattention, working memory, and visual-spatial perception. In contrast, using an ROI approach, thalamic nuclei volumes did not differ between groups and were not associated with any neurocognitive domains. Conclusion LP birth may be associated with subtle, region-specific bidirectional left and right hemispheric cortical surface area differences rather than widespread structural alterations in middle childhood, with regional macrostructural measures associated with individual differences in neurocognitive functioning.

Abstract BCMA-directed CAR T-cell and T-cell engager (TCE) therapies produce high response rates in relapsed multiple myeloma, yet most patients progress. Prior work identified TNFRSF17 alterations mediating antigen escape in up to 43% of TCE progressions. To evaluate the generalizability of these findings and examine antigen-loss-independent resistance, we performed whole-exome sequencing on 32 paired pre- and post-treatment progression bone marrow samples from 15 patients (5 CAR T, 10 TCE); two patients received both agents. TNFRSF17 alterations were infrequent and restricted to TCE recipients (one concurrent frameshift and missense mutation; two heterozygous copy-number losses); no biallelic loss or CAR T-associated events were observed. In contrast, deleterious/loss-of-function variants in NF-κB, PI3K-AKT-mTOR, and MAPK/ERK pathways were universal in pre-treatment samples and acquired or clonally enriched in 80% of patients at progression. Acquired events included loss-of-function alterations in CYLD , activating mutations in KRAS , NRAS and BRAF , and acquired TP53 mutations. In this series, antigen escape via TNFRSF17 /BCMA alteration was uncommon. Instead, pre-existing, acquired and clonally enriched pathogenic variants in NF-κB, PI3K-AKT-mTOR and MAPK cascades, together with TP53 mutation, emerged as a frequent finding. These alterations suggest that deregulation of BCMA-downstream survival signaling, enhanced proliferative fitness, and elevation of apoptotic threshold constitute antigen-loss-independent mechanisms of resistance.

Odontogenic myxoma (OM) is an uncommon, locally aggressive odontogenic neoplasm with characteristic histologic and clinico-radiographic features but with potential for histologic overlap with other odontogenic and non-odontogenic entities and a non-specific immunoprofile. Widespread loss of heterozygosity (LOH) has been recently described in rare cases of OM. The aim of this study was to determine whether widespread LOH represents a recurrent molecular signature that can be leveraged for clinical decision-making. Allele-specific copy number variation data from chromosomal microarray were generated from 7 OM, comprising a combined prospective and retrospective cohort. Four tumors arose in the mandible and 3 in the maxilla in patients ranging in age from 18 to 94 years (median: 44), with tumor size ranging from 2.2 to 13.0 cm. Variable amounts of fibrous stroma (odontogenic “fibromyxoma”) were present in 4/7 OM, and hypercellularity not typically appreciated in conventional OM was present in 3/7 cases. All OM (7/7) demonstrated widespread LOH, with 5 cases showing a near-haploid/low hypodiploid genomes (multiple monosomies) and 2 cases showing evidence of pseudo-hyperdiploidy due to probable endoreduplication. Both pseudo-hyperdiploid cases were ≥10 cm in size; 1 represented local recurrence. Chromosomes 1 to 3, 6, 9, 11, 13, 15, and 22 demonstrated LOH in ≥75% of cases (chromosomes 1 to 3, 6, and 9 in 100% of cases), while chromosomes 5, 12, 19, and 20 universally retained heterozygosity. Altogether, widespread LOH is a recurrent event in OM and a novel finding in odontogenic pathology, and allele-specific copy number variation analysis can serve as a diagnostic adjunct in challenging cases.

Photoplethysmography (PPG) is a non-invasive optical technique commonly used to measure heart rate and oxygen saturation, but its waveform contains additional physiological information that can be analyzed using artificial intelligence (AI). This narrative review summarizes the emerging applications of AI-based PPG in cardiovascular, respiratory, sleep, hemodynamic, pregnancy-related, and portal-hypertension assessment, with the aim of evaluating its potential beyond conventional monitoring and identifying barriers to clinical translation. The literature search was conducted using PubMed, Google Scholar, IEEE Xplore, ScienceDirect, and SpringerLink. Additional relevant studies were identified through screening the reference lists of included articles. Studies published between 2002 and 2026 were identified to capture the development of PPG from conventional monitoring to newer AI-based applications. Human studies were prioritized, while relevant computational, simulated, synthetic, ex vivo, and technical studies were also included. Studies unrelated to PPG, duplicates, and studies with limited relevance were excluded. A total of 96 references were included, covering AI approaches such as convolutional and deep neural networks, ensemble methods, transfer learning, U-Net, generative adversarial networks, and Transformer-based models. Overall, the reviewed evidence suggests that AI-based PPG may support blood pressure estimation, atrial fibrillation detection, sleep and respiratory monitoring, vascular aging assessment, pulmonary hypertension screening, preeclampsia assessment, volume-status and compensatory-reserve assessment, and exploratory assessment related to portal hypertension. However, clinical translation remains limited by motion artifacts, sensor and measurement-site variability, skin-pigmentation-related bias, physiological and environmental influences, heterogeneous methods, limited external validation, and inconsistent clinical and regulatory standards.

ABSTRACT Commercial antimicrobial susceptibility testing (AST) systems for gram-negative bacteria provide operational advantages over reference broth microdilution (BMD) testing, but the results produced by commercial AST systems might not be as accurate as the reference method. Assessing and comparing the performance of AST systems can be informative for clinical microbiology practice. In total, 280 clinical isolates and 100 isolates from the U.S. Centers for Disease Control and Prevention Antimicrobial Resistance Isolate Bank, including Enterobacterales and Pseudomonas aeruginosa, were intended to be tested using disk diffusion (DD) and automated commercial AST systems, such as Selux AST System (Selux Diagnostics), MicroScan (Beckman Coulter), Phoenix (Becton, Dickinson and Company), and Vitek 2 (bioMérieux). These results were compared to BMD as the reference standard. In total, 372 isolates were assessed. For Enterobacterales, the greatest frequency of very major errors was identified with cefepime by Vitek 2 (29.0%) and ertapenem by DD (9.1%); essential agreement less than 90% was identified with the following combinations: aztreonam by MicroScan (86.4%), aztreonam by Vitek 2 (88.9%), cefepime by Selux (86.3%), cefepime by Vitek 2 (76.8%), ceftazidime by Vitek 2 (89.9%), and levofloxacin by MicroScan (83.4%). For P. aeruginosa , essential agreement less than 90% was identified with the following combinations: gentamicin by Selux (87.2%), tobramycin by Selux (86.6%), and ciprofloxacin by Phoenix (88.4%). Overall, antimicrobials that had low demonstrable bias across all automated commercial AST systems included ampicillin, amoxicillin-clavulanate, ceftazidime-avibactam, ertapenem, and trimethoprim-sulfamethoxazole. Comparing commercial testing systems head-to-head against a reference standard provides insight into the strengths and weaknesses of the performance of these test systems, and these insights can subsequently inform local decisions regarding further investigations and potential operational mitigation strategies. IMPORTANCE This study assessed and compared the performance of multiple commercial antimicrobial susceptibility testing (AST) systems and disk diffusion methods. The accuracy of determining minimum inhibitory concentrations or zone diameters of antimicrobials and the associated interpretive categories were studied for 372 isolates of Enterobacterales and Pseudomonas aeruginosa . Performance of the evaluated systems revealed that multiple antimicrobial-organism combinations were below the standards typically required by regulatory agencies and clinical laboratories. These deficiencies varied across the commercial platforms and disk diffusion methods, highlighting the importance of benchmarking studies that compare the performance using identical isolates. These identified performance weaknesses may warrant further study and/or the implementation of mitigation strategies in clinical laboratory operations to prevent the reporting of errant results.

ABSTRACT The prognostic relevance of multiple myeloma (MM)‐defined high‐risk (HR) cytogenetic abnormalities in AL amyloidosis is incompletely defined. We retrospectively evaluated 517 newly diagnosed AL amyloidosis patients seen at Mayo Clinic between 2012 and 2021 who had baseline plasma cell FISH. HR cytogenetics were defined as t (4;14), t (14;16), t (14;20), del(17p), or 1q gain/amplification (+1q). HR abnormalities were identified in 151 patients (29%); +1q accounted for most HR cases (122/151, 81%). Compared with standard‐risk (SR), patients harboring +1q demonstrated a greater clonal disease burden, including higher dFLC and bone marrow plasma cells, greater intact immunoglobulin secretion, higher plasma cell proliferative index, and enrichment for modified SLiM‐CRAB features. Hematologic and organ response patterns of +1q patients were generally comparable to SR patients, whereas non‐1q HR patients had a higher proportion of early hematologic responses. Patients harboring +1q demonstrated significantly inferior overall survival (OS) compared with both non‐1q HR patients and SR patients (median OS 57 months vs. not reached vs. 120 months, p = 0.02). In multivariable piecewise Cox analysis, the adverse prognostic impact of +1q was most evident beyond 24 months from diagnosis (HR 2.89, 95% CI 1.64–5.09, p < 0.001), whereas non‐1q HR lesions were not independently prognostic. These findings suggest that +1q identifies a biologically distinct AL amyloidosis subset characterized by plasma cell–dominant features and inferior long‐term disease control. In contrast, other MM‐defined HR cytogenetic abnormalities appear to have limited prognostic relevance in AL amyloidosis.

ABSTRACT Diagnosis The diagnosis of multiple myeloma requires ≥ 10% clonal bone marrow plasma cells or a biopsy proven plasmacytoma plus evidence of one or more multiple myeloma defining events (MDE): CRAB (hypercalcemia, renal failure, anemia, or lytic bone lesions) attributable to the plasma cell disorder, bone marrow clonal plasmacytosis ≥ 60%, serum involved/uninvolved free light chain (FLC) ratio ≥ 100 (provided involved FLC is ≥ 100 mg/L and urine monoclonal protein is ≥ 200 mg/24 h), or > 1 focal lesion on magnetic resonance imaging. Risk Stratification High‐risk multiple myeloma is defined by the presence of del(17p), p53 mutation, or bi‐allelic del(1p); t(4;14), t(14;16), t(14;20) in combination with gain(1q) or del(1p); or gain(1q) plus del(1p). Initial Therapy Initial therapy consists of a quadruplet regimen consisting of anti‐CD38 monoclonal antibody (daratumumab or isatuximab) plus bortezomib, lenalidomide, dexamethasone (VRd) followed by autologous stem cell transplantation in eligible patients. Selected standard risk patients can delay transplant until first relapse. Frail patients who are not candidates for transplant are treated with a triplet regimen, either anti‐CD 38 antibody plus lenalidomide and dexamethasone, or VRd. Maintenance Therapy Standard maintenance is lenalidomide in combination with daratumumab or isatuximab. Lenalidomide is discontinued after 2 years in standard‐risk patients. Bortezomib plus lenalidomide is an alternative option for high‐risk myeloma. Management of Relapsed Disease Major options are chimeric antigen receptor T (CAR‐T) cell therapy, bispecific antibodies, various triplet regimens, and belantamab mafadotin. Management of Smoldering Multiple Myeloma Daratumumab for 3 years should be considered in high‐risk smoldering multiple myeloma.

ABSTRACT Background and Aim Significant health disparities persist in alcohol‐associated liver disease (ALD), largely driven by social determinants of health (SDOH). However, the influence of neighbourhood‐level SDOH on ALD outcomes remains underexplored. In this study, we aimed to evaluate how neighbourhood‐level SDOH are associated with disease burden, comorbid conditions, and mortality in individuals with ALD. Methods We conducted a retrospective cohort study of patients with ALD in the Banner Health System, representing hospitals across Arizona, California, Nevada, Wyoming and Colorado, from January 2012 to October 2024 using ICD codes. Neighbourhood‐level SDOH were quantified using the Social Deprivation Index (SDI). Patients were stratified into quartiles based on SDI score, with Quartile 4 representing the most socioeconomically disadvantaged neighbourhoods. Primary outcomes included incidence of mortality, cirrhosis, major adverse liver outcome (MALO), Type 2 diabetes mellitus, any cancer, and major adverse cardiovascular events (MACE). A multivariable competing risk analysis was performed adjusting for age, sex, race/ethnicity, insurance type, primary language, smoking status, Type 2 diabetes mellitus, hypertension, hyperlipidemia, aspirin use, statin use, alcohol use disorder and a composite mental‐health/substance‐use disorder variable encompassing depression, anxiety disorders, post‐traumatic stress disorder, bipolar disorder, schizophrenia, and non‐alcohol substance use disorders. Results Among 11,394 patients with ALD and available SDI data, 6747 had ≥ 365 days of follow‐up. The average age was 51 years and 65.6% were female; 68.8% were non‐Hispanic White, 19.7% Hispanic, 5.9% Native American/Alaskan Native (NA), 3.2% Black, and 0.4% Asian/Pacific Islanders. Patients residing in the most disadvantaged neighbourhoods (Quartile 4) were significantly younger, more likely to be female, had a higher median BMI, and more frequently reported a non‐English primary language compared with those in the least disadvantaged areas (Quartile 1). Patients in the most deprived neighbourhoods were more likely to be Hispanic, Black, or Native American/Alaska Native and to be uninsured or on Medicaid, whereas those in the least disadvantaged neighbourhoods predominantly had private insurance. Individuals in Quartile 4 had increased mortality (adjusted hazard ratio [aHR]: 1.48, 95% Confidence Interval [CI]: 1.09–2.01) compared with individuals in Quartile 1. Conclusions In this large and demographically diverse ALD cohort, residing in socioeconomically disadvantaged neighbourhoods was associated with increased risk of mortality. These findings support the need for contextually tailored clinical interventions and broader treatment strategies that target upstream sociocultural and environmental factors that are associated with health outcomes. Addressing neighbourhood‐level SDOH through community engagement, policy reform, and cross‐sector partnerships to improve collaborative care efforts is needed to reduce health disparities in ALD.

siRNA delivery to target cellular processes is an appealing area in lung diseases such as asthma. To realize this potential requires efficient, targeted cytosolic delivery without cellular toxicity or siRNA degradation. We demonstrate the efficacy of PONI-Guan nanoparticles in accessing airway epithelial and smooth muscle cells with specific siRNA targeting of mRNAs of interest while maintaining barrier integrity and avoiding cellular toxicity.

ABSTRACT Monoclonal gammopathy of undetermined significance (MGUS) is an asymptomatic premalignant precursor to multiple myeloma (MM). While development of end‐organ damage in MM largely reflects increasing clonal burden, emerging evidence indicates that qualitative properties of the monoclonal immunoglobulins in MGUS can be directly pathogenic, leading to serious organ injury independent of disease burden. This has led to the recognition of a broader spectrum of disorders collectively termed monoclonal gammopathy of clinical significance (MGCS). MGCS can be further subclassified based on the organ system involved; for example, monoclonal gammopathy of renal significance specifically refers to monoclonal immunoglobulin‐driven renal injury. Along these lines, we propose monoclonal gammopathy of thrombotic significance (MGTS) as encompassing thrombotic disorders in which there is definitive, mechanistically supported evidence that a monoclonal (M)‐protein associated with a clonal plasma or B‐cell disorder directly contributes to thrombosis. Based on current evidence, monoclonal protein–induced immune thrombocytopenia and thrombosis is the only disorder that meets our criteria for MGTS. Other thrombotic disorders, such as thrombotic microangiopathy and antiphospholipid syndrome, may occur in the setting of a monoclonal protein and have biologically plausible M‐protein‐mediated mechanisms; however, direct evidence implicating the M‐protein in thrombosis is currently lacking. Accordingly, we provisionally classify these disorders as thrombotic syndromes associated with M‐proteins, pending causal validation. We also highlight thrombotic disease associations with multifactorial pathogenesis that should not be classified as MGTS. Broader recognition of MGTS is essential to advance consensus definitions, establish diagnostic criteria, and develop evidence‐based management strategies for this clinically important group of disorders.