Citations

Key Points Activin A is implicated in profibrotic and prosenescent kidney injury and correlates with kidney injury markers in animals and humans. Follistatin, through activin A antagonism, reduces senescence burden, macrophage infiltration, and proinflammatory pathway activation in murine diabetic kidney disease. Follistatin and other antagonists of activin A signaling pathways may be promising, novel therapeutics for diabetic kidney disease. Background Circulating activin A, an inflammatory mediator implicated in profibrotic kidney injury and cellular senescence-induced adipose tissue dysfunction, is increased in human diabetic kidney disease (DKD) and directly correlates with kidney dysfunction. We tested the hypothesis that activin A increases kidney injury, senescent cell abundance, and macrophage infiltration in DKD and antagonism through follistatin (FS) therapy diminishes these effects. Methods An accelerated nephropathy type 2 diabetes (db/db) mouse model was generated by implantation of angiotensin II-loaded osmotic minipumps resulting in increased albuminuria and glomerular and tubular injury. Kidney repair effects of FS (5 µ g intraperitoneal; two doses) were assessed through markers of kidney injury, fibrosis, inflammation, cellular senescence, and macrophage infiltration. In vitro studies examined antiactivin effects of FS on high glucose-exposed human monocytes, renal fibroblasts, and renal tubule epithelial cells. Results Activin A antagonism with FS reduced senescence (p19), proinflammatory (including senescence-associated secretory phenotype), and profibrotic markers including activin A. FS improved kidney morphology, restored podocyte markers (nephrin and Wilms tumor-1), and reduced kidney injury biomarkers, albuminuria and kidney fibrosis. FS decreased kidney macrophage and leukocyte infiltration and absent in melanoma 2 inflammasome activation. FS seemed to suppress inflammation through the toll-like receptor-4/NF kappa-light-chain-enhancer of activated B cells pathway in vivo further supported in human macrophages in vitro . In addition, FS reduced hyperglycemia-induced renal fibroblast activation and renal tubule epithelial cell senescence in vitro . Conclusions Activin A is a mediator of kidney injury through macrophage-associated inflammation in murine DKD. FS acts through senomorphic activities which inhibit profibrotic, proinflammatory, and prosenescence signaling by activin A. Hence, antiactivin targeting may aid in the development of a promising, novel therapeutic for DKD.

Abstract Background and Aims Classification and risk stratification in aortic (AR), mitral (MR), and tricuspid regurgitation (TR) remains a significant clinical challenge. This study aimed to develop an artificial intelligence (AI) system to assess valvular regurgitation and stratify MR-progression risk. Methods Using transthoracic echocardiograms (TTEs) at two sites (internal development/test, external test), the DELINEATE-Regurgitation system was developed to classify AR, MR, and TR severity using colour Doppler videos. Methods of summating video-level classifications into study-level predictions were tested, comparing single-view with multiview approaches integrating predictions across multiple videos. Model agreement with cardiologists was assessed by weighted kappa. A separate AI system (DELINEATE-MR-Progression) analysing colour Doppler videos was developed to predict which patients with mild, mild–moderate, and moderate MR were most likely to progress to moderate–severe or severe MR with analysis by Kaplan–Meier and Cox proportional hazards models. Results A total of 71 660 TTEs with 1 203 980 colour Doppler videos were included. The weighted kappa in internal/external test sets for regurgitation classification was 0.81/0.76 for AR, 0.76/0.72 for MR, and 0.73/0.64 for TR using a multiview approach taking all colour Doppler videos in a study, demonstrating substantial agreement with cardiologist interpretation with superiority of multiview over single view approaches. In the progression analysis, the AI score stratified MR-progression risk even when controlled for clinical factors known to be associated with MR progression [internal test set hazard ratio 4.1 (95% confidence interval 2.5–6.6)]. Conclusions An AI system can accurately classify AR, MR, and TR and predict MR progression beyond currently known risk factors.

Background The digital transformation in medical education is reshaping how clinical skills, such as point-of-care ultrasound (POCUS), are taught. In nephrology fellowship programs, POCUS is essential for enhancing diagnostic accuracy, guiding procedures, and optimizing patient management. To address these evolving demands, we developed an artificial intelligence (AI)-driven POCUS curriculum using a multiagent approach that integrates human expertise with advanced AI models, thereby elevating educational standards and better preparing fellows for contemporary clinical practice. Methods In April 2024, the Mayo Clinic Minnesota Nephrology Fellowship Program initiated a novel AI-assisted process to design a comprehensive POCUS curriculum. This process integrated multiple advanced AI models—including GPT-4.0, Claude 3.0 Opus, Gemini Advanced, and Meta AI with Llama 3—to generate initial drafts and iteratively refine content. A panel of blinded nephrology POCUS experts subsequently reviewed and modified the AI-generated material to ensure both clinical relevance and educational rigor. Results The curriculum underwent 12 iterative revisions, incorporating feedback from 29 communications across AI models. Key features of the final curriculum included expanded core topics, diversified teaching methods, enhanced assessment tools, and integration into inpatient and outpatient nephrology rotations. The curriculum emphasized quality assurance, POCUS limitations, and essential clinical applications, such as fistula/graft evaluation and software integration. Alignment with certification standards further strengthened its utility. AI models contributed significantly to the curriculum's foundational structure, while human experts provided critical clinical insights. Conclusion This curriculum, enhanced through a multiagent approach that combines AI and human collaboration, exemplifies the transformative potential of digital tools in nephrology education. The innovative framework seamlessly integrates advanced AI models with expert clinical insights, providing a scalable model for medical curriculum development that is responsive to evolving educational demands. The synergy between technological innovation and human expertise holds promising implications for advancing fellowship training. Future studies should evaluate its impact on clinical competencies and patient outcomes across diverse practice environments.

Summary of Background Data: Intraductal papillary mucinous neoplasm (IPMN)-derived pancreatic cancer is typically managed like pancreatic intraepithelial neoplasia (PanIN)-derived pancreatic cancer. However, in IPMN-derived pancreatic cancer, the role of chemotherapy remains controversial, particularly in the neoadjuvant setting (NAT). Objective: To evaluate the role of neoadjuvant chemotherapy in IPMN-derived pancreatic cancer. Methods: Patients with IPMN-derived pancreatic cancer treated with either upfront surgery (US) or NAT were identified from eight international centers (2000-2023). Clinicopathologic data were compared. Date of first treatment was used for Kaplan-Meier and log-rank tests to compare overall (OS) and recurrence free survival (RFS). Multivariable Cox-regression was performed in patients that underwent NAT. Results: In 1,019 patients, 76 (7%) underwent NAT. Patients who received NAT had higher baseline CA19-9 levels (P<0.001). Of these 76 patients, 27 (36%), 20 (26%), and 29 (38%) had resectable, borderline resectable, or locally advanced pancreatic cancer at diagnosis, respectively. Advanced resectability stage was significantly more common in the NAT patients as compared to those who underwent US (P<0.001). OS for US patients was 38.0 months (95%CI: 33.7.1-44.3), which was not statistically different than those that received NAT [27.5 mo (95%CI: 23.1-46.7), P=0.121]. This was also valid for patients with resectable disease [US: 38.1 mo vs. NAT: 35.6 mo, P=0.920)]. Complete or marked pathological treatment response (P=0.046) and serological CA19-9 normalization after NAT (P=0.017) were associated with improved survival. On Cox-regression for OS, N2 disease [HR: 4.15 (95%CI: 1.71-10.10)], elevated CA19-9 [HR: 2.02 (95%CI:1.06-3.85)] and R1 margin [HR: 2.36 (95%CI:1.20-4.61)] was independently associated with OS after NAT, while resectability status was not. Conclusion: After NAT and resection, advanced resectability stage was not associated with worse OS indicating the value of this approach for borderline resectable and locally advanced IPMN-derived pancreatic cancer. The benefit of NAT in resectable disease is unclear and may require an individualized approach. Biological treatment effect can be assessed with CA19-9 and confirmed by pathologic response.

Objectives Black/African American (B/AA) pancreatic ductal adenocarcinoma (PDAC) patients have worse clinical outcomes than White patients and are underrepresented in genomic databases. We aimed to expand our understanding of the PDAC somatic landscape from a diverse cohort. Materials and Methods Formalin-fixed paraffin-embedded specimens from 24 surgically resected PDAC cases were collected, with self-reported race/ethnicity. Whole exome sequencing was performed on malignant and benign tissue. Bioinformatics analysis included deduction of genetic ancestry and somatic mutational analysis, with comparisons to public datasets. Results Out of 24 cases, 17 identified as B/AA race; genetic ancestry analysis confirmed proportions of Sub-Saharan African ancestry greater than 47%. The most commonly mutated genes included KRAS , TP53 , SMAD4 , and CDKN2A . Comparison of mutations in our cohort versus publicly available, predominantly White datasets showed higher mutation frequencies of ATM, RREB1, BRCA1/2, KDM6A, ARID1A, BRAF, and MYC ( P < 0.04). When cohorts were combined and analyzed by race, no mutation frequencies differences were observed, including KRAS . Conclusions Genomic analysis of PDAC tumors from B/AA and White patients demonstrate similarities in mutation frequencies. Larger studies are needed to further understand molecular characterizations across continental subpopulations. This study provides further rationale for equitable representation of diverse patients in genomic databases and clinical trials.

BACKGROUND: Catheter ablation of ventricular arrhythmias, one of the most rapidly growing procedures in cardiac electrophysiology, is associated with magnetic resonance imaging–detected brain lesions in more than half of cases. Although a retrograde aortic approach is conventional, modern tools enable entry through a transseptal approach that may avoid embolization of debris from the arterial system. We sought to test the hypothesis that a transseptal puncture would mitigate brain injury compared with a retrograde aortic approach. METHODS: The TRAVERSE trial (Transseptal Versus Retrograde Aortic Ventricular Entry to Reduce Systemic Emboli) was a multicenter randomized controlled comparative effectiveness trial. Patients with left ventricular arrhythmias undergoing catheter ablation procedures were randomly assigned to a transseptal puncture approach compared (1:1) with a retrograde aortic approach. The primary outcome was the presence of an acute brain lesion detected by magnetic resonance imaging. Secondary outcomes included clinically manifest complications, procedural efficacy, and 6-month neurocognitive assessments. RESULTS: Among the 62 patients randomly assigned to a retrograde aortic approach with postoperative brain magnetic resonance imaging, 28 (45%) exhibited an acute brain lesion compared with 19 of the 69 (28%) of those randomized to a transseptal puncture ( P =0.036). No differences in clinically manifest complications or procedural efficacy were observed. More patients in the retrograde aortic arm were categorized as having a high likelihood of cognitive impairment at 6 months (33% compared with 19% of those in the transseptal arm), but substantial loss to follow-up was present. CONCLUSIONS: Among patients undergoing left ventricular catheter ablation procedures, a transseptal approach reduced the risk of acute brain lesions by nearly half compared with a retrograde aortic approach without sacrificing safety or efficacy. Given a likely embolic pathogenesis, the brain magnetic resonance imaging findings may reflect a propensity to other organ damage; these findings may extend to other procedures requiring left ventricular entry. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03946072.

INTRODUCTION: Abdominal bloating is a difficult symptom to treat. Hypnotherapy and diaphragmatic intervention have separately shown benefit on bloating in prior work but have not been united into a single intervention. We aimed to obtain data on the potential therapeutic impact of a novel audio-recorded bloating treatment for bloating integrating hypnosis and diaphragmatic breathing, with proposed synergistic effect. METHODS: Patients with nonorganic bowel disorders with predominant bloating symptoms completed a digitally delivered 7-session audio-recorded hypnotherapy program without clinician involvement. The intervention combined bloating-targeted hypnotic suggestions and guided diaphragmatic breathing delivered under hypnosis, and was supplemented with interval self-guided breathing exercises. Participants completed online REDCap assessments at baseline, midtreatment, at end of treatment, and 3-month follow-up, evaluating symptom severity, gastrointestinal symptom-specific anxiety, overall anxiety/depression, and quality of life. Outcomes were assessed in an intention-to-treat manner with repeated measures analysis of variances (ANOVAs) with Bonferroni-adjusted pairwise post hoc tests. RESULTS: Of 23 patients who started treatment, 22 (95.6%) completed follow-up. Bloating severity on Irritable Bowel Syndrome-Symptom Severity Scale and Patient Assessment of Upper Gastrointestinal Symptom Severity Index showed reduction in bloating with large effect sizes (Cohen d of ∼0.8) at the end of treatment, as did Visceral Sensitivity Index bloating-related anxiety. At the end of treatment, 16 patients (69.6%) were Irritable Bowel Syndrome-Symptom Severity Scale treatment responders (≥30% symptom reduction) on bloating and 17 (73.9%) on overall bowel symptom severity. Anxiety, depression, and quality-of-life scores were unchanged. Outcome measures were fully maintained at the 3-month follow-up. DISCUSSION: Results suggest the therapeutic utility of a new cost-effective self-administered bloating intervention. A randomized controlled trial is planned to confirm these therapeutic effects.

Abstract The prevalence of steatotic liver disease (SLD) is rising globally, presenting a significant public health challenge. While non-contrast computed tomography (CT) scans hold promise for the opportunistic detection of SLD, their full potential has not been systematically explored. Clinical indicators, such as serum data, are crucial for monitoring the progression of SLD. We introduce a novel Multimodal AI for Opportunistic Steatotic Liver Disease Screening (MAOSS), which integrates demographic data, serum tests, conventional CT biomarkers, and deep learning-derived CT image features to enhance model performance and explainability. MAOSS employs an innovative learning strategy, trained on a large-scale dataset (n = 1,783) encompassing both histopathologically-confirmed SLD and radiologically-reported steatosis cases. The model underwent extensive retrospective validation using steatosis grades derived from both histology and MRI-PDFF across internal and external datasets (n = 913), as well as real-world patient data (n = 18,504). It accurately detected mild to severe steatosis (≥ S1) with AUCs ranging from 0.903 to 0.929. Notably, MAOSS significantly improved the overall AUC for radiologists (n = 11) from 0.709 to 0.798 (p < 0.001). Furthermore, MAOSS was applied to optimize the standard clinical pathway for a simulated primary risk screening of SLD patients (n = 1,192), resulting in the identification of 31% more patients at risk of steatohepatitis and liver fibrosis progression, highlighting its potential to enhance SLD detection and management.