Armando J. Arroyo‐Mejias
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Armando J. Arroyo‐Mejias has a total of 20 co-authors. Here are the top co-authors by number of shared publications:
- Alla Turshudzhyan
National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , 9000 Rockville Pike, Bethesda, MD20892
1 shared publication - Amy D. Klion
Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
1 shared publication - Andrea J. Radtke
Lymphocyte Biology Section, Laboratory of Immune System Biology, NIAID, NIH
1 shared publication Ari M Levine
Human Eosinophil Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health , 9000 Rockville Pike, Bethesda, MD20892
1 shared publication- Colin J. Chu
Academic Unit of Ophthalmology, Translational Health Sciences, University of Bristol, Bristol, United Kingdom
1 shared publication Disha Sharma
National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health , 9000 Rockville Pike, Bethesda, MD20892
1 shared publication
Latest Publications
- 12 May 2026
- Published by Oxford University Press (OUP) in Journal of Leukocyte Biology
- Vol. 118 (5)
Three-dimensional modeling of sensory nerve architecture and eosinophil and mast cell interactions in eosinophilic gastrointestinal disease
Increased sensory nerve density has been described in type 2 inflammatory conditions and is linked to eosinophil and mast cell infiltration and neuropathic pain. To examine these relationships in eosinophilic gastrointestinal diseases, we developed a protocol using Ce3D (clearing-enhanced 3D) tissue clearing to evaluate mucosal gastrointestinal (GI) nerve remodeling and interactions with eosinophils and mast cells in whole-mount GI biopsies. Human gastric and esophageal biopsies were processed for 3-dimensional imaging. Tissues were fixed, permeabilized, and immunolabeled for mucosal nerves (Protein Gene Product 9.5), sensory neurons (substance P), eosinophils (eosinophil peroxidase), mast cells (tryptase), and epithelial cells (pan-cytokeratin). Vacuum-microwave–assisted staining was employed to enhance antibody penetration and protocol efficiency. Samples were cleared with Ce3D and imaged using confocal microscopy. Machine learning–enhanced quantitative analysis and modeling of nerve morphology and cellular interactions, including nerve length, branching, and spatial relationships between eosinophils, mast cells, and sensory neurons were performed. We established a 3-dimensional imaging method for whole-mount GI biopsies to characterize nerve architecture and eosinophil and mast cell interactions in the human esophagus and stomach. This approach enables high resolution and volumetric analyses and can be modified to assess other spatial neuroimmune interactions in human GI mucosal biopsies.
- 12 May 2026
- Published by Oxford University Press (OUP) in Journal of Leukocyte Biology
- Vol. 118 (5)
Three-dimensional modeling of sensory nerve architecture and eosinophil and mast cell interactions in eosinophilic gastrointestinal disease
Increased sensory nerve density has been described in type 2 inflammatory conditions and is linked to eosinophil and mast cell infiltration and neuropathic pain. To examine these relationships in eosinophilic gastrointestinal diseases, we developed a protocol using Ce3D (clearing-enhanced 3D) tissue clearing to evaluate mucosal gastrointestinal (GI) nerve remodeling and interactions with eosinophils and mast cells in whole-mount GI biopsies. Human gastric and esophageal biopsies were processed for 3-dimensional imaging. Tissues were fixed, permeabilized, and immunolabeled for mucosal nerves (Protein Gene Product 9.5), sensory neurons (substance P), eosinophils (eosinophil peroxidase), mast cells (tryptase), and epithelial cells (pan-cytokeratin). Vacuum-microwave–assisted staining was employed to enhance antibody penetration and protocol efficiency. Samples were cleared with Ce3D and imaged using confocal microscopy. Machine learning–enhanced quantitative analysis and modeling of nerve morphology and cellular interactions, including nerve length, branching, and spatial relationships between eosinophils, mast cells, and sensory neurons were performed. We established a 3-dimensional imaging method for whole-mount GI biopsies to characterize nerve architecture and eosinophil and mast cell interactions in the human esophagus and stomach. This approach enables high resolution and volumetric analyses and can be modified to assess other spatial neuroimmune interactions in human GI mucosal biopsies.
- 16 December 2021
- Published by Wiley in Immunological Reviews
- Vol. 306 (1) , 8-24
Understanding immunity in a tissue‐centric context: Combining novel imaging methods and mathematics to extract new insights into function and dysfunction*
A central question in immunology is what features allow the immune system to respond in a timely manner to a variety of pathogens encountered at unanticipated times and diverse body sites. Two decades of advanced and static dynamic imaging methods have now revealed several major principles facilitating host defense. Suborgan spatial prepositioning of distinct cells promotes time‐efficient interactions upon pathogen sensing. Such pre‐organization also provides an effective barrier to movement of pathogens from parenchymal tissues into the blood circulation. Various molecular mechanisms maintain effective intercellular communication among otherwise rapidly moving cells. These and related discoveries have benefited from recent increases in the number of parameters that can be measured simultaneously in a single tissue section and the extension of such multiplex analyses to 3D tissue volumes. The application of new computational methods to such imaging data has provided a quantitative, in vivo context for cell trafficking and signaling pathways traditionally explored in vitro or with dissociated cell preparations. Here, we summarize our efforts to devise and employ diverse imaging tools to probe immune system organization and function, concluding with a commentary on future developments, which we believe will reveal even more about how the immune system operates in health and disease.
- 16 December 2021
- Published by Wiley in Immunological Reviews
- Vol. 306 (1) , 8-24
Understanding immunity in a tissue‐centric context: Combining novel imaging methods and mathematics to extract new insights into function and dysfunction*
A central question in immunology is what features allow the immune system to respond in a timely manner to a variety of pathogens encountered at unanticipated times and diverse body sites. Two decades of advanced and static dynamic imaging methods have now revealed several major principles facilitating host defense. Suborgan spatial prepositioning of distinct cells promotes time‐efficient interactions upon pathogen sensing. Such pre‐organization also provides an effective barrier to movement of pathogens from parenchymal tissues into the blood circulation. Various molecular mechanisms maintain effective intercellular communication among otherwise rapidly moving cells. These and related discoveries have benefited from recent increases in the number of parameters that can be measured simultaneously in a single tissue section and the extension of such multiplex analyses to 3D tissue volumes. The application of new computational methods to such imaging data has provided a quantitative, in vivo context for cell trafficking and signaling pathways traditionally explored in vitro or with dissociated cell preparations. Here, we summarize our efforts to devise and employ diverse imaging tools to probe immune system organization and function, concluding with a commentary on future developments, which we believe will reveal even more about how the immune system operates in health and disease.