Samreen, Ayesha

Abstract Background Invasive listeriosis remains a leading cause of foodborne infection–related mortality in the United States and is associated with substantial case fatality despite appropriate antimicrobial therapy. Owing to the relative rarity of invasive disease, contemporary data evaluating clinical characteristics, optimal antimicrobial strategies, and predictors of mortality remain limited. Methods We conducted a retrospective cohort study of adults with laboratory-confirmed invasive Listeria monocytogenes infection at Mayo Clinic Health System sites from 1980 to 2024. Clinical syndromes were categorized into four mutually exclusive categories, namely bloodstream infection, central nervous system infection, pregnancy-associated infection, and other focal infections. The primary outcome was 1-year all-cause mortality. Secondary outcomes included 90-day mortality and residual neurological deficits among patients with neurolisteriosis. Results Fifty patients were included (median age, 72 years; 56% immunocompromised). The most common clinical presentations were bacteremia (44%) and neurolisteriosis (36%), followed by endovascular infection (12%) and peritonitis (6%). Most patients received a beta-lactam–based regimen, 46% aminopenicillin monotherapy, and 30% received combination therapy with gentamicin. Thirty-day, 90-day, and 1-year mortality were 10%, 12%, and 20%, respectively. Immunocompromised status and intensive care unit admission were associated with an increased risk of 1-year mortality, whereas adjunctive gentamicin therapy was not associated with improved survival. Conclusion Invasive listeriosis is associated with substantial morbidity and mortality, particularly among immunocompromised hosts. Host factors and severity of illness at presentation appear to be key drivers of unfavorable outcomes. Larger multicenter studies are needed to define optimal management strategies.

Abstract Healthcare personnel (HCP) are at risk for occupational exposure to tuberculosis. Current guidelines for managing exposed HCP are broad and resource intensive. Based on review of our internal data, we propose a risk-based stratification approach to streamline exposure follow-up testing and optimize resource utilization.

Background: Concern exists that the clinical trial populations differ from respective cancer populations in terms of their age distribution affecting the generalizability of the results, especially in underrepresented minorities. We hypothesized that the clinical trials that do not report race are likely to suffer from a higher degree of age disparity. Methods: Food and Drug Administration (FDA) drug approvals from July 2007 to June 2019 were reviewed to identify oncology approvals, and trials with age details were selected. The outcomes studied were the weighted mean difference in age between the clinical trial population and real-world population for various cancers, the prevalence of race reporting and association of age and race reporting with each other. Results: Of the 261 trials, race was reported in 223 (85.4%) of the trials, while 38 trials (14.6%) had no mention of race. Race reporting improved minimally over time: 29 (85.3%) in 2007–2010 vs. 49 (80.3%) in 2011–2014 vs. 145 (85.4%) during the period 2015–2019 (p-value = 0.41). Age discrepancy between the clinical trial population and the real-world population was higher for studies that did not report race (mean difference −8.8 years (95% CI −12.6 to −5.0 years)) vs. studies that did report it (mean difference −5.1 years, (95% CI −6.4 to −3.7 years), p-value = 0.04). Conclusion: The study demonstrates that a significant number of clinical trials leading to cancer drug approvals suffer from racial and age disparity when compared to real-world populations, and that the two factors may be interrelated. We recommend continued efforts to recruit diverse populations.

We describe the phenotype of a patient with extensive aortic, carotid, and abdominal dissections. The proband was found to have a heterozygous deletion of exons 21–34 inMYLK, which is a rare finding, as deletions in this gene have been infrequently reported. We describe this finding following detection in a proband with an extensive history of aortic, carotid, and abdominal dissections. Neoteric molecular modeling techniques to help determine the impact of this deletion on protein function indicated loss of function due to lack of any kinase domain. We also provide the electrostatics calculations from the wild type and mutant variant. Through a combined multiomic approach of clinical, functional, and protein informatics, we arrive at a data fusion for determination of pathogenicity embedded within the genetic code for this particular genetic variant, which, as a platform, continues to broaden its scope across the field of variants of uncertain significance classification.

Background. The ATP-binding cassette, subfamily D, member 1 (ABCD1) protein is a peroxisomal half-transporter that allows for very long chain fatty acid (VLCFA) degradation. Pathogenic variants of ABCD1 cause VLCFAs to build up in various tissues and bodily fluids, resulting in a disorder called X-linked adrenoleukodystrophy (X-ALD). This disorder is most commonly marked by adrenocortical insufficiency and high VLCFA concentration, and has varying levels of neurological involvement depending on phenotype. For example, the Addison-only form of X-ALD has no neurological impact, while the cerebral form of X-ALD often causes severe sensory loss, motor function impairment, cognitive decline, and death. Methods. A newly characterized and suspected pathogenic variant in ABCD1 was analyzed using our protein informatics platform (PIP). Personalized protein-level molecular studies were completed on genetic testing data, complementing the analysis and clinical study. Results. A case of adult onset adrenomyeloneuropathy (AMN) and a novel ABCD1 variant are presented. The unique ABCD1 protein is discussed, and the proband’s case is compared to existing reports of AMN. Conclusions. Data fusion from multiple sources was combined in a comprehensive approach yielding an enriched assessment of the patient’s disease and prognosis. Molecular modeling was performed on the variant to better characterize its clinical significance and confirm pathogenicity.

Background and objectives: Loeys–Dietz syndrome 3, also known as aneurysms-–osteoarthritis syndrome, is an autosomal dominant genetic connective tissue disease caused by pathogenic variants in SMAD3, a transcription factor involved in TGF-β signaling. This disorder is characterized by early-onset osteoarthritis and arterial aneurysms. Common features include scoliosis, uvula abnormalities, striae, and velvety skin. Materials and Methods: The pathogenicity of a variant of uncertain significance in the SMAD3 gene was evaluated (variant c.220C > T) through personalized protein informatics and molecular studies. Results: The case of a 44-year-old male, who was originally presumed to have Marfan syndrome, is presented. An expanded gene panel determined the probable cause to be a variant in SMAD3, c.220C > T (p.R74W). His case was complicated by a history of stroke, but his phenotype was otherwise characteristic for Loeys–Dietz syndrome 3. Conclusion: This case emphasizes the importance of comprehensive genetic testing to evaluate patients for connective tissue disorders, as well as the potential benefit of utilizing a protein informatics platform for the assessment of variant pathogenicity.