Faculty Bibliography

The rapid evolution of large-language models such as ChatGPT, Claude, and Gemini is reshaping the methodological landscape of obstetrics and gynecology (OBGYN) research. This narrative review provides a comprehensive account of generative AI capabilities, key use-cases, and recommended safeguards for investigators. First, generative AI expedites hypothesis generation, enabling researchers to interrogate vast corpora and surface plausible, overlooked questions. Second, it streamlines systematic reviews by composing optimized search strings, screening titles and abstracts, and identifying full-text discrepancies. Third, AI assistants can draft reproducible analytic code, perform preliminary descriptive or inferential analyses, and create publication-ready tables and figures. Fourth, the models support scholarly writing by suggesting journal-specific headings, refining prose, harmonizing references, and translating technical content for multidisciplinary audiences. Fifth, they augment peer-review and editorial workflows by delivering evidence-focused critiques. In educational settings, these models can create adaptive curricula and interactive simulations for trainees, fostering digital literacy and evidence-based practice early in professional development among clinicians. Integration into clinical decision-support pipelines is also foreseeable, warranting proactive governance. Notwithstanding these opportunities, responsible use demands vigilant oversight. Large-language models occasionally fabricate citations or misinterpret domain-specific data ("hallucinations"), potentially propagating misinformation. Outputs are highly prompt-dependent, creating a reliance on informed prompt engineering that may disadvantage less technical clinicians. Moreover, uploading protected health information or copyrighted text raises privacy, security, and intellectual-property concerns. We outline best-practice recommendations: maintain human verification of all AI-generated content; cross-validate references with primary databases; employ privacy-preserving, on-premises deployments for sensitive data; document prompts for reproducibility; and disclose AI involvement transparently. In summary, generative AI offers a powerful adjunct for OBGYN scientists by accelerating topic formulation, evidence synthesis, data analysis, manuscript preparation, and peer review. When coupled with rigorous oversight and ethical safeguards, these tools can enhance productivity without compromising scientific integrity. Future studies should quantify accuracy, bias, and downstream patient impact.

Advocacy has long been at the core of the infectious diseases (ID) field, with clinicians and researchers advocating to ensure patients can access the care they need on an individual and global scale. The Infectious Diseases Society of America Training Program Directors' (PD) Committee met in 2024 and discussed ways that advocacy is and should be incorporated into fellowship training, as well as highlighted the role PDs play in advocating for their trainees. Policies with a negative impact on ID clinical care, public health, and research underscore the importance of mobilizing the field of ID to advocate for the patients and communities we serve, as well as for ourselves. This paper presents ideas generated at this meeting and is meant to serve as a reference for ID PDs, as well as the wider ID community, as a call to action for teaching and participating in advocacy work.

A cluster of Aspergillus fumigatus donor-derived infections (DDI) was rapidly diagnosed using plasma metagenomic next-generation sequencing (mNGS) among solid organ transplant recipients. The heart recipient, experiencing marginal hemodynamics, underwent an endomyocardial biopsy, which was concerning for a fungal infection on histopathology. Plasma mNGS was performed, identifying A. fumigatus two days prior to conventional diagnostics. This timely diagnosis enabled prompt nephrectomies in the kidney recipients, who survived. This report represents the first published use of mNGS in the diagnosis of Aspergillus fumigatus DDI, highlighting the utility of this novel, underutilized assay for early diagnosis of donor-derived infections.

RECQL4 plays an important role in maintaining the integrity of the genome and regulating DNA replication. However, the role of RECQL4 in CNS tumors remains unknown. Sequencing data were reviewed and immunohistochemistry was performed on a variety of glial and nerve sheath tumors. Functional studies were performed in glioma (U251) and malignant peripheral nerve sheath tumors (MPNSTs) (NF90-8, ST88-14) cell lines following RECQL4 knockdown and treatment with ATR-inhibitors. Across 1580 CNS tumors, RECQL4 gene variants were identified in 71 cases (4.5%), with 21 (29.6%) of probable pathogenic significance. RECQL4 expression differed significantly across glioma subgroups (P = 0.012). Low-grade gliomas (diffuse: median H-score 57.5; circumscribed: median 130) showed lower expression than high-grade gliomas (median 145, P < 0.05). Neurofibromas displayed higher RECQL4 expression (median 160) compared with MPNSTs (median 97.5, P < 0.001). Among MPNSTs, NF1-associated cases (n = 24, median 95) expressed significantly less RECQL4 than sporadic cases (n = 8, median 162.5, P < 0.001). RECQL4 knockdown in glioma and MPNST cell lines resulted in increased apoptosis and susceptibility to ATR-inhibitors. Our findings show that RECQL4 expression has divergent patterns across tumor types and that targeting RECQL4 may dampen tumor survival and enhance susceptibility to ATR inhibitor therapy in CNS tumors.

INTRODUCTION/BACKGROUND:Process evaluation provides insight into how interventions are delivered across varying contexts and why interventions work in some contexts and not in others. This manuscript outlines the protocol for a process evaluation embedded in a hybrid type 1 effectiveness-implementation randomised clinical trial of incremental-start haemodialysis (HD) versus conventional HD delivered to patients starting chronic dialysis (the TwoPlus Study). The trial will simultaneously assess the effectiveness of incremental-start HD in real-world settings and the implementation strategies needed to successfully integrate this intervention into routine practice. This manuscript describes the rationale and methods used to capture how incremental-start HD is implemented across settings and the factors influencing its implementation success or failure within this trial. METHODS AND ANALYSIS/METHODS:We will use the Consolidated Framework for Implementation Research (CFIR) and the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) frameworks to inform process evaluation. Mixed methods include surveys conducted with treating providers (physicians) and dialysis personnel (nurses and dialysis administrators); semi-structured interviews with patient participants, caregivers of patient participants, treating providers (physicians and advanced practice practitioners), dialysis personnel (nurses, dieticians and social workers); and focus group meetings with study investigators and stakeholder partners. Data will be collected on the following implementation determinants: (a) organisational readiness to change, intervention acceptability and appropriateness; (b) inner setting characteristics underlying barriers and facilitators to the adoption of HD intervention at the enrollment centres; (c) external factors that mediate implementation; (d) adoption; (e) reach; (f) fidelity, to assess adherence to serial timed urine collection and HD treatment schedule; and (g) sustainability, to assess barriers and facilitators to maintaining intervention. Qualitative and quantitative data will be analysed iteratively and triangulated following a convergent parallel and pragmatic approach. Mixed methods analysis will use qualitative data to lend insight to quantitative findings. Process evaluation is important to understand factors influencing trial outcomes and identify potential contextual barriers and facilitators for the potential implementation of incremental-start HD into usual workflows in varied outpatient dialysis clinics and clinical practices. The process evaluation will help interpret and contextualise the trial clinical outcomes' findings. ETHICS AND DISSEMINATION/BACKGROUND:The study protocol was approved by the Wake Forest University School of Medicine Institutional Review Board (IRB). Findings from this study will be disseminated through peer-reviewed journals and scientific conferences. TRIAL REGISTRATION NUMBER/BACKGROUND:NCT05828823.

Families of infants hospitalized in the neonatal intensive care unit (NICU) are at an increased risk for depression, anxiety, and trauma symptoms that often persist well beyond transition from the NICU. While NICU professionals provide vital medical care for high-risk infants, they also offer interdisciplinary support for families, including collaboration with psychosocial and psychiatric services in select settings. Despite psychosocial support systems often being present during NICU hospitalization, significant gaps remain in post-NICU mental health support for parents. Comprehensive discharge preparation and outpatient follow-up planning for infants, as well as their families, are essential to optimize both long-term outcomes and the well-being of the entire family unit. In this paper, we review current evidence regarding mental health risks for families during transitions of care and highlight practice recommendations and advocacy opportunities for enhanced family-centered, interdisciplinary follow-up care after transition from the NICU.

BACKGROUND:ASH1L-related intellectual developmental disorder represents an emerging neurodevelopmental syndrome with significant phenotypic heterogeneity (Cordova et al. in Genes (Basel). 15(4):423, 2024). Comprehensive genomic analysis demonstrates superior diagnostic yield compared with targeted approaches in complex neurodevelopmental presentations (Srivastava et al. in Genet Med. 21(11):2413-2421, 2019). CASE PRESENTATION/METHODS:This report describes a 6-year-old Central Asian (Uzbek) male patient with a history of global developmental delay who was diagnosed with mild autism spectrum disorder, attention-deficit/hyperactivity disorder, and a developmental expressive language disorder. Neuropsychological assessment revealed an uneven cognitive profile with average verbal abilities but below-average nonverbal reasoning. After uninformative targeted genetic panels, trio whole-genome sequencing identified a novel de novo heterozygous missense variant in ASH1L c.4043A > G (p.Lys1348Arg). This variant, absent in population databases, was classified as a variant of uncertain significance. However, in silico analysis predicted this variant to be probably damaging, and therefore, it emerged as the strongest candidate to explain the patient's phenotype. CONCLUSION/CONCLUSIONS:This case expands the known phenotypic spectrum of ASH1L-related disorders, demonstrating that a de novo missense variant can be associated with a milder neurodevelopmental phenotype, including borderline-to-average intellectual ability. These findings challenge suggestions that missense variants uniformly lead to more severe outcomes and underscores the importance of comprehensive genomic and deep clinical characterization to refine our understanding of gene-disease relationships.

The kidneys contribute to glucose homeostasis by gluconeogenesis and glucose reabsorption. Herein, we identified previously unknown fasting-induced, glucagon-mediated inhibitory effect of the circadian clock gene basic helix-loop-helix ARNT like 1 (Bmal1) on the expression of the main proximal tubule glucose transporter solute carrier family 5 member 2 (Sglt2) in mice. During fasting, glucagon induces Bmal1, which increases expression of nuclear receptor subfamily 1, group D, member 1 (Rev-erbα). Rev-erbα represses nuclear respiratory factor 1, a transcriptional activator of Sglt2, and diminishes Sglt2 expression and thereby kidney glucose reabsorption capacity. During refeeding (lower glucagon) this process is attenuated, thereby inducing glucose reabsorption. The physiological role of this mechanism appears to ensure optimal temporal retrieval of filtered glucose during fasting/refeeding. Thus, this study demonstrates that during fasting and refeeding, glucagon regulates renal glucose reabsorption by utilizing the local cellular circadian machinery.