Browsing by Author "White, Launia J."

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Comprehensive cross-sectional and longitudinal analyses of plasma neurofilament light across FTD spectrum disorders
    (Elsevier, 2022) Gendron, Tania F.; Heckman, Michael G.; White, Launia J.; Veire, Austin M.; Pedraza, Otto; Burch, Alexander R.; Bozoki, Andrea C.; Dickerson, Bradford C.; Domoto-Reilly, Kimiko; Foroud, Tatiana; Forsberg, Leah K.; Galasko, Douglas R.; Ghoshal, Nupur; Graff-Radford, Neill R.; Grossman, Murray; Heuer, Hilary W.; Huey, Edward D.; Hsiung, Ging-Yuek R.; Irwin, David J.; Kaufer, Daniel I.; Leger, Gabriel C.; Litvan, Irene; Masdeu, Joseph C.; Mendez, Mario F.; Onyike, Chiadi U.; Pascual, Belen; Ritter, Aaron; Roberson, Erik D.; Rojas, Julio C.; Tartaglia, Maria Carmela; Wszolek, Zbigniew K.; Rosen, Howard; Boeve, Bradley F.; Boxer, Adam L.; ALLFTD consortium; Petrucelli, Leonard; Medical and Molecular Genetics, School of Medicine
    Frontotemporal dementia (FTD) therapy development is hamstrung by a lack of susceptibility, diagnostic, and prognostic biomarkers. Blood neurofilament light (NfL) shows promise as a biomarker, but studies have largely focused only on core FTD syndromes, often grouping patients with different diagnoses. To expedite the clinical translation of NfL, we avail ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) study resources and conduct a comprehensive investigation of plasma NfL across FTD syndromes and in presymptomatic FTD mutation carriers. We find plasma NfL is elevated in all studied syndromes, including mild cases; increases in presymptomatic mutation carriers prior to phenoconversion; and associates with indicators of disease severity. By facilitating the identification of individuals at risk of phenoconversion, and the early diagnosis of FTD, plasma NfL can aid in participant selection for prevention or early treatment trials. Moreover, its prognostic utility would improve patient care, clinical trial efficiency, and treatment outcome estimations.
  • Thumbnail Image
    Item
    Serum Hormone Levels and Normal Breast Histology Among Premenopausal Women
    (Springer Nature, 2022) Sherman, Mark E.; de Bel, Thomas; Heckman, Michael G.; White, Launia J.; Ogony, Joshua; Stallings-Mann, Melody; Hilton, Tracy; Degnim, Amy C.; Vierkant, Robert A.; Hoskin, Tanya; Jensen, Matthew R.; Pacheco-Spann, Laura; Henry, Jill E.; Storniolo, Anna Maria; Carter, Jodi M.; Winham, Stacey J.; Radisky, Derek C.; van der Laak, Jeroenpeop; Medicine, School of Medicine
    Purpose: Breast terminal duct lobular units (TDLUs) are the main source of breast cancer (BC) precursors. Higher serum concentrations of hormones and growth factors have been linked to increased TDLU numbers and to elevated BC risk, with variable effects by menopausal status. We assessed associations of circulating factors with breast histology among premenopausal women using artificial intelligence (AI) and preliminarily tested whether parity modifies associations. Methods: Pathology AI analysis was performed on 316 digital images of H&E-stained sections of normal breast tissues from Komen Tissue Bank donors ages ≤ 45 years to assess 11 quantitative metrics. Associations of circulating factors with AI metrics were assessed using regression analyses, with inclusion of interaction terms to assess effect modification. Results: Higher prolactin levels were related to larger TDLU area (p < 0.001) and increased presence of adipose tissue proximate to TDLUs (p < 0.001), with less significant positive associations for acini counts (p = 0.012), dilated acini (p = 0.043), capillary area (p = 0.014), epithelial area (p = 0.007), and mononuclear cell counts (p = 0.017). Testosterone levels were associated with increased TDLU counts (p < 0.001), irrespective of parity, but associations differed by adipose tissue content. AI data for TDLU counts generally agreed with prior visual assessments. Conclusion: Among premenopausal women, serum hormone levels linked to BC risk were also associated with quantitative features of normal breast tissue. These relationships were suggestively modified by parity status and tissue composition. We conclude that the microanatomic features of normal breast tissue may represent a marker of BC risk.
  • Thumbnail Image
    Item
    Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence
    (BMC, 2022-07-11) Ogony, Joshua; de Bel, Thomas; Radisky, Derek C.; Kachergus, Jennifer; Thompson, E. Aubrey; Degnim, Amy C.; Ruddy, Kathryn J.; Hilton, Tracy; Stallings‑Mann, Melody; Vachon, Celine; Hoskin, Tanya L.; Heckman, Michael G.; Vierkant, Robert A.; White, Launia J.; Moore, Raymond M.; Carter, Jodi; Jensen, Matthew; Pacheco‑Spann, Laura; Henry, Jill E.; Storniolo, Anna Maria; Winham, Stacey J.; van der Laak, Jeroen; Sherman, Mark E.; Medicine, School of Medicine
    Background: Breast terminal duct lobular units (TDLUs), the source of most breast cancer (BC) precursors, are shaped by age-related involution, a gradual process, and postpartum involution (PPI), a dramatic inflammatory process that restores baseline microanatomy after weaning. Dysregulated PPI is implicated in the pathogenesis of postpartum BCs. We propose that assessment of TDLUs in the postpartum period may have value in risk estimation, but characteristics of these tissues in relation to epidemiological factors are incompletely described. Methods: Using validated Artificial Intelligence and morphometric methods, we analyzed digitized images of tissue sections of normal breast tissues stained with hematoxylin and eosin from donors ≤ 45 years from the Komen Tissue Bank (180 parous and 545 nulliparous). Metrics assessed by AI, included: TDLU count; adipose tissue fraction; mean acini count/TDLU; mean dilated acini; mean average acini area; mean "capillary" area; mean epithelial area; mean ratio of epithelial area versus intralobular stroma; mean mononuclear cell count (surrogate of immune cells); mean fat area proximate to TDLUs and TDLU area. We compared epidemiologic characteristics collected via questionnaire by parity status and race, using a Wilcoxon rank sum test or Fisher's exact test. Histologic features were compared between nulliparous and parous women (overall and by time between last birth and donation [recent birth: ≤ 5 years versus remote birth: > 5 years]) using multivariable regression models. Results: Normal breast tissues of parous women contained significantly higher TDLU counts and acini counts, more frequent dilated acini, higher mononuclear cell counts in TDLUs and smaller acini area per TDLU than nulliparas (all multivariable analyses p < 0.001). Differences in TDLU counts and average acini size persisted for > 5 years postpartum, whereas increases in immune cells were most marked ≤ 5 years of a birth. Relationships were suggestively modified by several other factors, including demographic and reproductive characteristics, ethanol consumption and breastfeeding duration. Conclusions: Our study identified sustained expansion of TDLU numbers and reduced average acini area among parous versus nulliparous women and notable increases in immune responses within five years following childbirth. Further, we show that quantitative characteristics of normal breast samples vary with demographic features and BC risk factors.