6 results on '"Roberta G. Marangoni"'
Search Results
2. Thy-1 plays a pathogenic role and is a potential biomarker for skin fibrosis in scleroderma
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Roberta G. Marangoni, Poulami Datta, Ananta Paine, Stacey Duemmel, Marc Nuzzo, Laura Sherwood, John Varga, Christopher Ritchlin, and Benjamin D. Korman
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Dermatology ,Immunology ,Medicine - Abstract
Thy-1 (CD90) is a well-known marker of fibroblasts implicated in organ fibrosis, but its contribution to skin fibrosis remains unknown. We examined Thy-1 expression in scleroderma skin and its potential role as a biomarker and pathogenic factor in animal models of skin fibrosis. Skin from patients with systemic sclerosis demonstrated markedly elevated Thy-1 expression compared with controls, colocalized with fibroblast activator protein in the deep dermis, and correlated with the severity of skin involvement (modified Rodnan skin score). Serial imaging of skin from Thy-1 yellow fluorescent protein reporter mice by IVIS showed an increase in Thy-1 expression that correlated with onset and progression of fibrosis. In contrast to lung fibrosis, Thy-1–KO mice had attenuated skin fibrosis in both bleomycin and tight skin-1 murine models. Moreover, Thy-1 regulated key pathogenic pathways involved in fibrosis, including inflammation, myofibroblast differentiation, apoptosis, and multiple additional canonical fibrotic pathways. Therefore, although Thy-1 deficiency leads to exacerbated lung fibrosis, in skin it is protective. Moreover, Thy-1 may serve as a longitudinal marker to assess skin fibrosis.
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- 2022
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3. High-throughput quantitative histology in systemic sclerosis skin disease using computer vision
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Chase Correia, Seamus Mawe, Shane Lofgren, Roberta G. Marangoni, Jungwha Lee, Rana Saber, Kathleen Aren, Michelle Cheng, Shannon Teaw, Aileen Hoffmann, Isaac Goldberg, Shawn E. Cowper, Purvesh Khatri, Monique Hinchcliff, and J. Matthew Mahoney
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Computer vision ,Systemic sclerosis ,Scleroderma ,Histology ,Modified Rodnan skin score ,Outcomes ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background Skin fibrosis is the clinical hallmark of systemic sclerosis (SSc), where collagen deposition and remodeling of the dermis occur over time. The most widely used outcome measure in SSc clinical trials is the modified Rodnan skin score (mRSS), which is a semi-quantitative assessment of skin stiffness at seventeen body sites. However, the mRSS is confounded by obesity, edema, and high inter-rater variability. In order to develop a new histopathological outcome measure for SSc, we applied a computer vision technology called a deep neural network (DNN) to stained sections of SSc skin. We tested the hypotheses that DNN analysis could reliably assess mRSS and discriminate SSc from normal skin. Methods We analyzed biopsies from two independent (primary and secondary) cohorts. One investigator performed mRSS assessments and forearm biopsies, and trichrome-stained biopsy sections were photomicrographed. We used the AlexNet DNN to generate a numerical signature of 4096 quantitative image features (QIFs) for 100 randomly selected dermal image patches/biopsy. In the primary cohort, we used principal components analysis (PCA) to summarize the QIFs into a Biopsy Score for comparison with mRSS. In the secondary cohort, using QIF signatures as the input, we fit a logistic regression model to discriminate between SSc vs. control biopsy, and a linear regression model to estimate mRSS, yielding Diagnostic Scores and Fibrosis Scores, respectively. We determined the correlation between Fibrosis Scores and the published Scleroderma Skin Severity Score (4S) and between Fibrosis Scores and longitudinal changes in mRSS on a per patient basis. Results In the primary cohort (n = 6, 26 SSc biopsies), Biopsy Scores significantly correlated with mRSS (R = 0.55, p = 0.01). In the secondary cohort (n = 60 SSc and 16 controls, 164 biopsies; divided into 70% training and 30% test sets), the Diagnostic Score was significantly associated with SSc-status (misclassification rate = 1.9% [training], 6.6% [test]), and the Fibrosis Score significantly correlated with mRSS (R = 0.70 [training], 0.55 [test]). The DNN-derived Fibrosis Score significantly correlated with 4S (R = 0.69, p = 3 × 10− 17). Conclusions DNN analysis of SSc biopsies is an unbiased, quantitative, and reproducible outcome that is associated with validated SSc outcomes.
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- 2020
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4. Author Correction: Fibroblast A20 governs fibrosis susceptibility and its repression by DREAM promotes fibrosis in multiple organs
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Wenxia Wang, Swarna Bale, Jun Wei, Bharath Yalavarthi, Dibyendu Bhattacharyya, Jing Jing Yan, Hiam Abdala-Valencia, Dan Xu, Hanshi Sun, Roberta G. Marangoni, Erica Herzog, Sergejs Berdnikovs, Stephen D. Miller, Amr H. Sawalha, Pei-Suen Tsou, Kentaro Awaji, Takashi Yamashita, Shinichi Sato, Yoshihide Asano, Chinnaswamy Tiruppathi, Anjana Yeldandi, Bettina C. Schock, Swati Bhattacharyya, and John Varga
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Science - Published
- 2023
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5. Adiponectin is an endogenous anti-fibrotic mediator and therapeutic target
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Roberta G. Marangoni, Yuri Masui, Feng Fang, Benjamin Korman, Gabriel Lord, Junghwa Lee, Katja Lakota, Jun Wei, Philipp E. Scherer, Laszlo Otvos, Toshimasa Yamauchi, Naoto Kubota, Takashi Kadowaki, Yoshihide Asano, Shinichi Sato, Warren G. Tourtellotte, and John Varga
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Medicine ,Science - Abstract
Abstract Skin fibrosis in systemic sclerosis (SSc) is accompanied by attrition of dermal white adipose tissue (dWAT) and reduced levels of circulating adiponectin. Since adiponectin has potent regulatory effects on fibroblasts, we sought to assess adiponectin signaling in SSc skin biopsies, and evaluate fibrosis in mice with adiponectin gain- and loss-of-function mutations. Furthermore, we investigated the effects and mechanism of action of agonist peptides targeting adiponectin receptors in vitro and in vivo. We found that adiponectin pathway activity was significantly reduced in a subset of SSc skin biopsies. Mice lacking adiponectin mounted an exaggerated dermal fibrotic response, while transgenic mice with constitutively elevated adiponectin showed selective dWAT expansion and protection from skin and peritoneal fibrosis. Adiponectin receptor agonists abrogated ex vivo fibrotic responses in explanted normal and SSc fibroblasts and in 3D human skin equivalents, in part by attenuating focal adhesion complex assembly, and prevented and reversed experimentally-induced organ fibrosis in mice. These results implicate aberrant adiponectin pathway activity in skin fibrosis, identifying a novel function for this pleiotropic adipokine in regulation of tissue remodeling. Restoring adiponectin signaling in SSc patients therefore might represent an innovative pharmacological strategy for intractable organ fibrosis.
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- 2017
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6. Amplification of the flgE gene provides evidence for the existence of a Brazilian borreliosis
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Elenice Mantovani, Roberta G. Marangoni, Giancarla Gauditano, Virgínia L.N. Bonoldi, and Natalino H. Yoshinari
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Lyme disease ,Lyme disease-like ,Spirochaetales ,Arctic medicine. Tropical medicine ,RC955-962 ,Infectious and parasitic diseases ,RC109-216 - Abstract
INTRODUCTION: The symptoms of Brazilian borreliosis resemble the clinical manifestations of Lyme disease (LD). However, there are differences between the two in terms of epidemiological and laboratory findings. Primers usually employed to diagnose LD have failed to detect Borrelia strains in Brazil. OBJECTIVE: We aimed to identify the Brazilian Borrelia using a conserved gene that synthesizes the flagellar hook (flgE) of Borrelia burgdorferi sensu lato. METHOD: Three patients presenting with erythema migrans and positive epidemiological histories were recruited for the study. Blood samples were collected, and the DNA was extracted by commercial kits. RESULTS: The gene flgE was amplified from DNA of all selected patients. Upon sequencing, these positive samples revealed 99% homology to B. burgdorferi flgE. CONCLUSION: These results support the existence of borreliosis in Brazil. However, it is unclear whether this borreliosis is caused by a genetically modified B. burgdorferi sensu stricto or by a new species of Borrelia spp.
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- 2012
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