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Browsing by Author "Lipp, Sarah N."
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Item 3D Mapping Reveals a Complex and Transient Interstitial Matrix During Murine Kidney Development(Wolters Kluwer, 2021) Lipp, Sarah N.; Jacobson, Kathryn R.; Hains, David S.; Schwarderer, Andrew L.; Calve, Sarah; Pediatrics, School of MedicineESKD is increasing in incidence and a limited number of organs are available for transplantation. Therefore, researchers have focused on understanding how cellular signaling influences kidney development to expand strategies to rebuild a kidney. However, the extracellular matrix (ECM), another critical component that biomechanically regulates nephrogenesis, has been largely neglected. Proteomics and 3D imaging of the murine kidney resolved previously undescribed dynamics of the interstitial matrix in the cortex and corticomedullary junction during development. Combined with cells and growth factors, scaffolds modeled after the composition and organization of the developmental ECM have the potential to improve engineered models of the kidney.Item Extracellular matrix protein composition dynamically changes during murine forelimb development(Elsevier, 2024-01-09) Jacobson, Kathryn R.; Saleh, Aya M.; Lipp, Sarah N.; Tian, Chengzhe; Watson, Audrey R.; Luetkemeyer, Callan M.; Ocken, Alexander R.; Spencer, Sabrina L.; Kinzer-Ursem, Tamara L.; Calve, Sarah; Medicine, School of MedicineThe extracellular matrix (ECM) is an integral part of multicellular organisms, connecting different cell layers and tissue types. During morphogenesis and growth, tissues undergo substantial reorganization. While it is intuitive that the ECM remodels in concert, little is known regarding how matrix composition and organization change during development. Here, we quantified ECM protein dynamics in the murine forelimb during appendicular musculoskeletal morphogenesis (embryonic days 11.5-14.5) using tissue fractionation, bioorthogonal non-canonical amino acid tagging, and mass spectrometry. Our analyses indicated that ECM protein (matrisome) composition in the embryonic forelimb changed as a function of development and growth, was distinct from other developing organs (brain), and was altered in a model of disease (osteogenesis imperfecta murine). Additionally, the tissue distribution for select matrisome was assessed via immunohistochemistry in the wild-type embryonic and postnatal musculoskeletal system. This resource will guide future research investigating the role of the matrisome during complex tissue development.Item Feeding the Kidney Researcher Pipeline through R25-NIDDK Funded Summer Undergraduate Research Fellowships: A Student Perspective(Wolters Kluwer, 2022-03-31) Wilson, Elena M.; Lipp, Sarah N.; Brady, Clayton T.; Ishibe, Shuta; Romero, Michael F.; Biomedical Engineering, Purdue School of Engineering and TechnologyItem Kidney Histopathology and Prediction of Kidney Failure: A Retrospective Cohort Study(Elsevier, 2020-09) Eadon, Michael T.; Schwantes-An, Tae-Hwi; Phillips, Carrie L.; Roberts, Anna R.; Greene, Colin V.; Hallab, Ayman; Hart, Kyle J.; Lipp, Sarah N.; Perez-Ledezma, Claudio; Omar, Khawaja O.; Kelly, Katherine J.; Moe, Sharon M.; Dagher, Pierre C.; El-Achkar, Tarek M.; Moorthi, Ranjani N.; Medical and Molecular Genetics, School of MedicineRationale & objective: The use of kidney histopathology for predicting kidney failure is not established. We hypothesized that the use of histopathologic features of kidney biopsy specimens would improve prediction of clinical outcomes made using demographic and clinical variables alone. Study design: Retrospective cohort study and development of a clinical prediction model. Setting & participants: All 2,720 individuals from the Biopsy Biobank Cohort of Indiana who underwent kidney biopsy between 2002 and 2015 and had at least 2 years of follow-up. New predictors & established predictors: Demographic variables, comorbid conditions, baseline clinical characteristics, and histopathologic features. Outcomes: Time to kidney failure, defined as sustained estimated glomerular filtration rate ≤ 10mL/min/1.73m2. Analytical approach: Multivariable Cox regression model with internal validation by bootstrapping. Models including clinical and demographic variables were fit with the addition of histopathologic features. To assess the impact of adding a histopathology variable, the amount of variance explained (r2) and the C index were calculated. The impact on prediction was assessed by calculating the net reclassification index for each histopathologic variable and for all combined. Results: Median follow-up was 3.1 years. Within 5 years of biopsy, 411 (15.1%) patients developed kidney failure. Multivariable analyses including demographic and clinical variables revealed that severe glomerular obsolescence (adjusted HR, 2.03; 95% CI, 1.51-2.03), severe interstitial fibrosis and tubular atrophy (adjusted HR, 1.99; 95% CI, 1.52-2.59), and severe arteriolar hyalinosis (adjusted HR, 1.53; 95% CI, 1.14-2.05) were independently associated with the primary outcome. The addition of all histopathologic variables to the clinical model yielded a net reclassification index for kidney failure of 5.1% (P < 0.001) with a full model C statistic of 0.915. Analyses addressing the competing risk for death, optimism, or shrinkage did not significantly change the results. Limitations: Selection bias from the use of clinically indicated biopsies and exclusion of patients with less than 2 years of follow-up, as well as reliance on surrogate indicators of kidney failure onset. Conclusions: A model incorporating histopathologic features from kidney biopsy specimens improved prediction of kidney failure and may be valuable clinically. Future studies will be needed to understand whether even more detailed characterization of kidney tissue may further improve prognostication about the future trajectory of estimated glomerular filtration rate.Item Mapping the Nephron Exercise Incorporates Multiple Learning Strategies(Association of American Medical Colleges, 2017-09-28) Hopper, Mari K.; Anderson, Maria A.; Lipp, Sarah N.; Cellular and Integrative Physiology, School of MedicineIntroduction: Understanding the location and action of nephron transporters and channels is important to the understanding of renal function. As each region of the nephron is unique in its inclusion of specific transporters and channels, mapping of the nephron is an effective first step in understanding overall nephron processing. We describe a small-group, active-learning exercise that facilitates students' ability to understand renal processing within each region of the nephron. Methods: Following an overview lecture on renal transporters and channels, small groups of students worked cooperatively to map the nephron. This 2-hour, collaborative exercise was developed to reinforce key concepts in renal processing of ions and nutrients and, at the same time, utilize effective learning strategies. Learning strategies incorporated in this exercise include small-group collaboration, peer teaching, retrieval practice using an audience response system, and elaboration through discussion. Results: Written examination was used to assess student understanding. Students demonstrated higher performance on a subset of questions related to this learning activity compared to the overall exam. Highly positive feedback was provided by a convenience sample of students completing an anonymous survey. Discussion: This nephron-mapping exercise was an effective means to promote synthesis and analysis of lecture content and engage students in methods that enhance learning.Item Mechanical loading is required for initiation of extracellular matrix deposition at the developing murine myotendinous junction(Elsevier, 2023) Lipp, Sarah N.; Jacobson, Kathryn R.; Colling, Haley A.; Tuttle, Tyler G.; Miles, Dalton T.; McCreery, Kaitlin P.; Calve, Sarah; Medicine, School of MedicineThe myotendinous junction (MTJ) contributes to the generation of motion by connecting muscle to tendon. At the adult MTJ, a specialized extracellular matrix (ECM) is thought to contribute to the mechanical integrity of the muscle-tendon interface, but the factors that influence MTJ formation during mammalian development are unclear. Here, we combined 3D imaging and proteomics with murine models in which muscle contractility and patterning are disrupted to resolve morphological and compositional changes in the ECM during MTJ development. We found that MTJ-specific ECM deposition can be initiated via static loading due to growth; however, it required cyclic loading to develop a mature morphology. Furthermore, the MTJ can mature without the tendon terminating into cartilage. Based on these results, we describe a model wherein MTJ development depends on mechanical loading but not insertion into an enthesis.