Citations

Daptomycin-resistant Enterococcus faecium (DRE) poses an increasing therapeutic challenge, particularly in immunocompromised patients and solid organ transplant recipients. Surveillance data from the Centers for Disease Control and Prevention indicate that approximately 6.5% of E. faecium isolates are daptomycin-resistant, underscoring the need for heightened clinical vigilance, particularly for prompt identification and treatment. In this case series, three patients with advanced liver disease, including two status post orthotopic liver transplantation, are described who developed DRE during treatment for bloodstream infection. These cases illustrate the dynamic nature of antimicrobial susceptibility under daptomycin exposure and highlight the contributions of persistent source control issues, intravascular infection, and altered host factors to treatment failure. All patients were successfully managed by escalating to combination therapy with high-dose daptomycin and ceftaroline, alongside appropriate source control. This series emphasizes the importance of periodic susceptibility reassessment during daptomycin therapy and cautions clinicians against assuming sustained susceptibility in patients with prolonged bacteremia or complex infections. Early recognition of evolving resistance and timely therapeutic adjustment may improve outcomes in this high-risk population.

Cervicofacial actinomycosis is a well-recognized infectious disease caused by Actinomyces, a Gram-positive filamentous bacterium. In contrast, Nocardia, a morphologically similar, hyphae-forming organism, is an exceedingly rare cause of cervicofacial abscesses, and even more uncommon associated osteomyelitis of mandible. We present such a case involving a kidney transplant recipient who presented with opioid-induced constipation, along with left jaw pain and swelling. CT scan of the soft tissue in the neck revealed a complex cervicofacial abscess with enhancement of underlying mandible. Culture growth and RNA sequencing of USG-guided aspirate identified a Nocardia species closely related to N. beijingensis/exalbida. The patient initially received broad-spectrum antibiotics, including ceftriaxone, imipenem, and trimethoprim-sulfamethoxazole (TMP-SMX). Imipenem was later discontinued in view of new-onset unexplained encephalopathy and replaced with linezolid, which was subsequently switched to minocycline following thrombocytopenia development. Minocycline therapy was intended for a total of 12 months. TMP-SMX was avoided long-term due to avoid nephrotoxicity risk in kidney transplant patients. On six-month follow-up, the patient showed clinical and radiological improvement; minocycline was discontinued after additional six months. This case highlights the importance of considering Nocardia as a differential diagnosis in immunosuppressed patients presenting with cervicofacial symptoms, especially following orofacial surgery or trauma. Early recognition, prompt diagnosis, and appropriate antibiotic therapy with adequate bone penetration seem crucial for optimal management and may help avoid the need for surgical intervention.

Abstract The publication rate of abstracts presented at a conference can provide some insight into its academic quality, although it is hardly the sole metric. We evaluated 351 SHEA Spring Conference abstracts; 49.9% were published. Findings demonstrate the strong academic output of SHEA conferences.

ABSTRACT. Cervical cancer is a malignancy with a well-established viral origin linked to high-risk human papillomavirus (HPV) types. Globally, there are 348,709 estimated deaths among 662,301 cervical cancer cases. India faces a disproportionately high burden, contributing to 79,906 of these deaths and accounting for over 22% of global deaths. The nation’s high mortality rate is attributable to the low rate of cervical cancer screening and HPV vaccination uptake. There is a greater impact of cervical cancer on those of lower socioeconomic status and a cultural stigma surrounding sexually transmitted infections. We recommend a comprehensive cervical cancer prevention strategy, including screening programs, culturally sensitive education for patients and providers, government-endorsed HPV vaccination, and continuing studies on diagnostics and vaccination in the Indian context.

Candida krusei empyema is a rare but serious manifestation of invasive candidiasis, characterized by intrinsic resistance to fluconazole, biofilm formation, and high mortality, with limited case-level data to inform management. This review aims to systematically identify and synthesize all reported English-language cases of Candida krusei empyema from January 2005 to June 2025 using PubMed, ScienceDirect, OVID MEDLINE, and Gale OneFile and perform descriptive analysis on them. Screening, data extraction, and eligibility assessment were performed, and those articles not clearly meeting eligibility criteria were reviewed by additional reviewers with consensus resolution. Seven publications (six individual cases and two cohorts) were included. We additionally describe the clinical course, management, and outcome of a 70-year-old bilateral lung transplant patient who developed persistent C. krusei empyema despite optimized antifungal therapy. Patients ranged from 11 to 74 years of age (median 62.5 years). Predisposing factors included esophageal perforation (n = 4), post-transplant hemorrhage (n = 1), community-acquired empyema (n = 1), and thoracic surgery (n = 1). Empiric fluconazole was switched to caspofungin (3/4), with others receiving amphotericin B, voriconazole, or combination therapy. Source control varied: chest tube drainage (n = 3), percutaneous catheter (n = 3), and surgical decortication (n = 2). Mortality was 14.3% (1/7). In the absence of clear guidelines and robust literature, the management approach remains heterogeneous. Optimal care requires early recognition, aggressive multimodal antifungal therapy, and effective source control tailored to patient risk. Standardized antifungal protocols and larger case series are needed to guide clinicians in managing this challenging infection.

ABSTRACT Beyond the arboviruses they transmit to humans and animals, mosquitoes harbour diverse viral communities that shape infection and immunity dynamics. Understanding how these communities shift within mosquito populations across time and space has important implications for how we anticipate and manage arboviral disease epidemics. Here, we examined the viromes of rural and sylvatic mosquito species sampled longitudinally across two years from countries representing South America, Africa, and Southeast Asian geographies to quantify the relative contributions of host and ecological factors in shaping their virome dynamics. We found that virus diversity and virome composition are strongly influenced by host phylogeny and spatial factors and show limited temporal variation. By examining virus similarity networks across mosquito species and biogeographies, we observed frequent instances of within- and cross-genus Culex - Anopheles virus sharing in Madagascar. Taken together, these findings inform the development and implementation strategies of any virome-based vector control technology and raise new evolutionary questions on how host generalism shapes the spatial prevalence of viruses and their potential for disease emergence.

We present Liquid Adaptive AI as a theoretical framework and mathematical basis for artificial intelligence systems capable of continuous structural adaptation and autonomous capability development. This work explores the conceptual boundaries of adaptive AI by formalizing three interconnected mechanisms: (1) entropy-guided hyperdimensional knowledge graphs that could autonomously restructure based on information-theoretic criteria; (2) a self-development engine using hierarchical Bayesian optimization for runtime architecture modification; and (3) a federated multi-agent framework with emergent specialization through distributed reinforcement learning. We address fundamental limitations in current AI systems through mathematically formalized processes of dynamic parameter adjustment, structural self-modification, and cross-domain knowledge synthesis, while immediate implementation faces substantial computational challenges requiring infrastructure on the scale of current large language model training facilities, we provide architectural specifications, theoretical convergence bounds, and evaluation criteria as a foundation for future research. This theoretical exploration establishes mathematical foundations for a potential new paradigm in artificial intelligence that would transition from episodic training to persistent autonomous development, offering a long-term research direction for the field. A comprehensive Supplementary Materials document provides detailed technical analysis, computational requirements, and an incremental development roadmap spanning approximately a decade.

Abstract Advances in genomic medicine have accelerated the identification of mutations in disease- associated genes, but the pathogenicity of many mutations remains unknown, hindering their use in diagnostics and clinical decision-making. Predictive AI models have been generated to combat this issue, but current tools display low accuracy when tested against functionally validated datasets. We show that integrating detailed conformational data extracted from molecular dynamics simulations (MDS) into advanced AI-based models can increase their predictive power. We carried out an exhaustive mutational analysis of the disease gene PMM2 and subjected structural models of each variant to MDS. AI models trained on this dataset outperformed existing tools when predicting the known pathogenicity of mutations. Our best performing model, a neuronal networks model, was also able to predict the pathogenicity of several PMM2 mutations currently considered of unknown significance. We believe this new model will help alleviate the burden of unknown variants in genomic medicine.