Philadelphia, PA, United States of America

Joanita Monteiro

USPTO Granted Patents = 2 


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2007-2015

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2 patents (USPTO):Explore Patents

Title: Joanita Monteiro: Innovator in Inflammatory Disease Research

Introduction

Joanita Monteiro is a prominent inventor based in Philadelphia, PA (US). She has made significant contributions to the field of inflammatory disease research, holding 2 patents that focus on the Macrophage migration inhibitory factor (MIF) promoter polymorphism. Her work has implications for understanding disease severity in conditions such as rheumatoid arthritis.

Latest Patents

Monteiro's latest patents describe a novel CATT-tetranucleotide repeat polymorphism at position -817 of the human Mif gene. This polymorphism functionally affects the activity of the MIF promoter in gene reporter assays. Four genotypes are identified, comprising 5, 6, 7, or 8-CATT repeat units. Notably, the 5-CATT allele exhibits the lowest level of basal and stimulated MIF promoter activity in vitro. The presence of this low-expressing allele correlates with reduced disease severity in a cohort of rheumatoid arthritis patients. Additionally, her patents disclose methods, compositions, and apparatus for detecting this polymorphism and assessing predisposition to severe inflammatory disease.

Career Highlights

Throughout her career, Joanita Monteiro has worked with notable companies such as Baxalta GmbH and Cytokine Pharmasciences, Inc. Her expertise in the field has allowed her to contribute to significant advancements in understanding inflammatory diseases.

Collaborations

Monteiro has collaborated with esteemed colleagues, including John A. Baugh and Richard J. Bucala. These partnerships have further enriched her research and innovation in the field.

Conclusion

Joanita Monteiro's work in inflammatory disease research exemplifies her dedication to advancing medical science. Her patents and collaborations highlight her significant contributions to understanding the genetic factors influencing disease severity.

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