Citations

Abstract Hypoxia constrains cerebral oxygen availability and challenges brain function and stability. Although hypoxia-responsive functional connectivity (HR-FC) reorganizes rapidly with declining arterial oxygen partial pressure, its relationship to local neurovascular activity remains unclear. We examined time-resolved amplitude of low-frequency fluctuations (ALFF) in blood-oxygenation-level dependent (BOLD) fMRI during graded acute hypoxia in healthy adults, performing a continuous cognitive test (Go/No-go task) with concurrent physiological monitoring. Dynamic ALFF and functional connectivity were estimated using a sliding-window approach and analyzed across large-scale brain networks defined by Schaefer’s 17-network parcellation. Severe hypoxia elicited temporally dissociated responses across modalities. Functional connectivity increased monotonically, whereas ALFF exhibited pronounced nonlinear modulation, including phase-dependent divergence across networks. During hypoxic decompensation, the default mode network (DefaultA) showed marked ALFF suppression, whereas a ventral secondary somatosensory-dominant network (SomMotB) exhibited preferential preservation despite similar engagement in HR-FC. Together, these findings indicate that network-level ALFF captures a distinct yet complementary layer of functional dynamics, with a temporal profile distinct from functional connectivity. Spontaneous BOLD dynamics during acute hypoxia reflect structured network-level modulation rather than a uniform suppression attributable solely to reduced oxygen availability. These findings support a conceptual framework of cerebral oxygen budgeting , in which metabolic constraints reshape functional dynamics across brain networks.

Background: Patients with primary sclerosing cholangitis (PSC) are at risk for developing gallbladder neoplasia (GBN) and biliary neoplasia, including cholangiocarcinoma (CCA), because of chronic inflammation and an underlying field effect. However, the risk of CCA after GBN detection in those with PSC remains poorly understood. We aimed to determine if the incidence of CCA is higher in those with GBN. Methods: We conducted a retrospective review of adult patients with large-duct PSC seen at Mayo Clinic between January 1, 1995, and December 31, 2019. Incidence rates for CCA development were calculated. Cox regression analyses were performed to determine features associated with CCA development beginning at the time of PSC diagnosis. Results: Our study included 1,829 patients with PSC. CCA and GBN developed in 334 (18.26%) and 71 individuals (3.88%), respectively. Among those with GBN, 14 (19.72%) developed CCA. The annual incidence of CCA was nearly twofold higher in patients with GBN (4.34% versus 2.21%). GBN was associated with CCA in an unadjusted analysis (hazard ratio 2.14 [95% CI 1.16–3.94]). When adjusting for other predictors of CCA, an association between GBN and CCA may remain. Conclusions: While few patients with PSC develop GBN, this subgroup is more likely to develop CCA. Consequently, once GBN is detected, clinicians should consider more intensive screening for CCA.

Background: There are limited oral treatment options available for resistant Gram-negative bacterial (GNB) infections. Minocycline, a second-generation tetracycline antibiotic, offers good bioavailability and broad-spectrum coverage that may be an option for GNB infections. Methods: We conducted a retrospective review of minocycline susceptibility testing performed on GNB isolates at the Mayo Clinic reference lab between 2013 and 2022. Minocycline susceptibility was evaluated with a focus on difficult-to-treat organisms and relevant anatomic source. Organisms included resistant isolates of Escherichia coli and Klebsiella pneumoniae ; high-risk ampC-derepressors, including Citrobacter freundii, Enterobacter cloacae, and K. aerogenes; and clinically challenging non-Enterobacterales, Acinetobacter species, Achromobacter species, and Stenotrophomonas maltophilia . Results: Of 217,206 GNB isolates, 18,148 Enterobacterales (EB) and 8,190 non- Enterobacter isolates were tested for minocycline susceptibility. Of these, 80% of all EB and 92% of non-EB isolates were susceptible. Among E. coli isolates with ceftriaxone, ciprofloxacin, meropenem, or multidrug resistance, minocycline susceptibility was 78%, 76%, 70%, and 70.9%, respectively. Among the K. pneumoniae isolates with ceftriaxone, ciprofloxacin, meropenem, or multidrug resistance, minocycline susceptibility was 46%, 38%, 37%, and 39.3%, respectively. 85% of C. freundii , 81% of E. cloacae, and 85% of K. aerogenes isolates were susceptible to Minocycline. 83.5% of Achromobacter species isolates, 66% of Acinetobacter species isolates, and 99.1% of S. maltophilia isolates were susceptible. Conclusions: Our study reports the largest collection of minocycline susceptibility findings in GNB. Minocycline showed in vitro activity against many difficult-to-treat GNB isolates, including ceftriaxone- and multidrug-resistant E. coli and some K. pneumoniae isolates, common Amp-C-producing species, and non-fermenting GNB, including Stenotrophomonas , Acinetobacter , and Achromobacter .

Human diseases are complex and arise from the coordinated action of multiple genes and their protein products. Genes’ behaviors extend beyond genetic variants, mutations, and differential expressions. Their coordinated activity across biological scales (molecules, cells, tissues, organs) produces emergent behaviors that shape health and disease. These emergent behaviors span time and space and are often hard to measure directly from observation when using standard experimental measurements. Yet these “hidden” or latent gene characteristics can be powerful drivers of disease. We propose a Mini-Galaxy Model (MGM), a systems-level AI-driven network framework that models cells as “mini-galaxies” composed of multilayered biological information, with each layer encoding a different dimension of genes’ behavior. Here, we delineate a strategy on how to construct and compare MGMs across health and disease and map their etiological relatedness. We also operationalize the MGM as a discovery platform for translational medicine, offering modules to allow target prioritization and editing. By reframing human diseases as the result of emergent behavior of multilayered multimode biological networks and their perturbations, the MGM yields actionable rules to streamline biomarker discovery, guide target selection and enable rational design of combinatorial interventions, and accelerate drug repurposing.

Background Oral anti-cancer treatment is commonly used, and non-adherence can negatively affect outcomes. The Oral Oncolytic Non-Adherence Estimator (ORACLE) was designed to prospectively categorize patients into risk levels by considering constructs such as self-efficacy, health literacy, perception of treatment, quality of life, social support, and regimen complexity. Validating this estimator is essential. Methods A content validation survey evaluated representativeness, clarity, and factor structure of each construct in ORACLE. A multidisciplinary panel of 8 content experts and 4 lay experts completed the survey. Results were analyzed to evaluate inter-rater agreement, content validity index (CVI), and factorial validity index (FVI). Post-survey workgroup discussions reviewed results and considered tool adjustments. Results All 12 invited experts completed the survey. The average CVI for content experts was 0.88 for representativeness and 0.98 for clarity. The average CVI for lay experts was 0.95 for clarity. The average FVI was 0.88, with self-efficacy and negative perception constructs yielding the lowest scores (0.63 and 0.75, respectively). ORACLE revisions addressed survey results and expert feedback on health literacy, social support, and regimen complexity. Conclusions Strong CVI for content and lay experts (94% and 95%) and strong FVI for content experts (98%) verify that the tool is understandable and addresses non-adherence issues, establishing validity of construct clarity and representativeness. Content validity of the first pre-treatment oral oncolytic non-adherence risk estimator was established, providing a reliable tool to identify patients at higher risk of non-adherence.

Opioids are often the first-line approach to treat moderate to severe cancer-related pain. However, opioids can cause conflict and distress to cancer survivors when prescribed for pain. The objective of this multi-methods study was to explore the psychosocial factors that affect the use or refusal of opioids among breast cancer survivors. We recruited 20 breast cancer survivors treated with opioids to participate in a free-listing exercise and semi-structured interview. Results revealed that survivors felt unprepared for the intensity of pain following cancer treatments, which contributed to the use of opioids. The adverse side effects often influenced their decision to discontinue them from their pain management strategy. Finally, the addictive properties of the medication affected survivors’ use of the medication. Findings identify and recognize clinicians and researchers can promote safer, more personalized approaches to pain management to inform interventions that integrate behavioral health support and improve patient-provider communication.

Abstract Introduction The effectiveness of temporary uterine artery ligation (TUAL) in reducing blood loss during laparoscopic myomectomy (LM) is uncertain, despite increased use as an adjunct to improve surgical safety. This study aims to evaluate the safety and efficacy of TUAL in LM for the management of uterine myomas. Material and Methods We conducted a systematic review and meta‐analysis of comparative studies evaluating LM with and without TUAL. Electronic databases were searched up to October 7, 2024. Eligible studies were randomized controlled trials or observational comparative studies published in English that reported at least one primary outcome. The primary outcomes were intraoperative estimated blood loss and perioperative change in hemoglobin. Secondary outcomes included operative time, number and size of myomas removed, length of hospital stay, recurrence, and complication rates. Data extraction and analysis were performed using a random‐effects model. This review was registered prospectively with PROSPERO (CRD42024595684). Results Seven studies met the inclusion criteria, comprising five randomized controlled trials and two retrospective case–control studies, with a total of 857 women (352 undergoing LM with TUAL and 505 undergoing LM alone). TUAL was associated with a reduction in intraoperative estimated blood loss (mean difference [MD]: −84.7 mL; 95% Cl: −89.0; −80.0) and postoperative reduction in hemoglobin level (MD: −0.4 g/dL; 95% Cl: −0.7; −0.2) compared with LM without TUAL. However, TUAL was associated with increased operative time (MD: 16.5 min; 95% Cl: 3.4; 29.6). Conclusions TUAL appears to be a possible adjunct to LM for selected patients in the management of uterine myomas. Our study demonstrated that TUAL with LM could be associated with a reduction in estimated blood loss, despite an increase in operative time. Nonetheless, further studies with a larger sample size and long‐term follow‐up, as well as stratification of outcomes based on ligation technique, are warranted to elucidate the benefits of TUAL.

Background: Chronic venous insufficiency (CVI) can be evaluated using Duplex ultrasonography (US) and air plethysmography (PG), yet comparative performance remains unclear. Methods: We retrospectively identified patients who underwent venous insufficiency US and PG within a 90-day interval from March 1, 2015 through July 31, 2024. CVI severity was classified by the clinical (C) component of the Clinical, Etiologic, Anatomic, and Pathophysiologic (CEAP) classification system and categorized as mild (C0–2), moderate (C3), or severe (C4–6). PG and insufficiency US findings were compared across categories and machine learning models were trained to predict severe CVI. Results: We analyzed 1478 limbs from 839 patients who were predominantly women (62%) with a mean age of 61 years (± 14 years). Severe CVI was present in 32.3% of limbs. US detected venous incompetence in 67.4% of limbs overall and in 75.3% of severe CVI limbs. Abnormal PG findings occurred in 72.9% of limbs overall and in 88.5% of severe CVI limbs. PG parameters in machine learning models outperformed US parameters in predicting severe CVI (area under the receiver operating characteristic curve [AUROC] 0.82 vs 0.65). The top PG model (multilayer perceptron [MLP]) achieved an AUROC of 0.82, versus the best US model (gradient boosting) with an AUROC of 0.65. Limiting PG data to incompetence and obstruction parameters modestly reduced performance but remained higher than US (logistic regression AUROC 0.72). Conclusion: Our findings indicate that PG assessment in CVI offers superior performance compared to US. Overall, these results validate the quantitative whole-limb hemodynamic approach using PG, which provides a more complete understanding of the pathology behind CVI.