Molecular imaging and diagnosis of endometriosis using mass spectrometry technologies

Ended Project Grant Awarded Last action

Award ID
R01HD101560
Recipient
Awarding agency
Obligated
$1,741,894

Award facts

Completion date
Funding
  • $1,507,672.69 Federal
  • $234,221.00 Non-federal
Place of performance
Texas, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
Endometriosis is a chronic pathologic condition that affects approximately 176 million worldwide, and can cause severe abdominal pain and subfertility. Despite its prevalence, there is currently no widely accepted theory of pathogenesis for endometriosis. Further, there are currently no clinical biomarkers for non- invasive diagnosis as most patients are only diagnosed at the time of exploratory laparoscopy. Thus, application of new molecular technologies to advance the understanding, diagnosis, and intraoperative detection of endometriosis is critically needed to improve patient care and management. Ambient mass spectrometry (MS) techniques offer the chemical specificity and sensitivity to perform rapid and in-depth molecular analysis of unprocessed tissue samples. We propose to conduct a rigorous study applying MS techniques in conjunction with statistical methods to identify, characterize, and validate metabolic and protein markers of endometrial and endometriosis tissues correlated to patient symptoms and disease presentation. Further, we propose to evaluate the performance of ambient MS techniques as tools for rapid diagnosis of endometrial tissues, and in vivo intraoperative disease detection. Combining our team's expertise in MS, statistics, gynecological surgery, pathology and endometriosis, we are unique poised to successfully carry out the following proposed aims: aim 1. Characterize metabolic and proteomic markers of endometriosis tissues from endometriosis patients using MS imaging. Characterization of molecular markers that are specific to endometriosis lesions within tissue microenvironment can lead to new understanding of the biological mechanisms governing endometriosis development and pinpoint potential targets for treatment. Using a large cohort of tissues prospectively collected from surgeries, we will use MS imaging and statistical analysis to identify molecular signatures of endometriosis tissues and uncover significant molecular alterations correlated to patient phenotypes and disease presentation within controlled patient subgroups. Aim 2. Define diagnostic markers of endometriosis using endometrial tissues from endometriosis and unaffected patients. New methods for accurate and rapid diagnosis endometriosis are critically needed to advance patient care. We propose to use MS imaging and statistical analyses to identify diagnostic markers of endometriosis using endometrial tissue samples obtained from eutopic endometrium of endometriosis patients, and endometrium tissues from unaffected patients undergoing other benign gynecological procedures, with the goal of identifying molecular markers that could use for diagnosis of endometriosis from tissue biopsies. Aim 3. Test the masspec pen as an intraoperative tool for in vivo endometriosis detection. Complete excision of endometriosis lesions and preservation of healthy adjacent tissues is of utmost importance in the surgical treatment of patients. We propose to conduct a clinical study to evaluate the performance of masspec pen technology for in vivo detection of endometriosis lesions and surgical guidance in laparoscopic procedures.

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Subawards

Subrecipient Amount Awarded
Ascension Seton Agreement: $17,745 Amd 1: $17,745 Amd 2: $17,745 Amd 3: $17,745 (P700000438) The clinical effort will be led by associate professor and gynecologist Dr. Michael… $70,980
University Of Texas At Austin Agreement: $19,892 Amend 1: $21,990 Amend 2: $21,990 Amend 3: $21,990 The MasSpec Pen and DESI-MS imaging are innovative and powerful analytical tools for… $85,862

Quick answers

Who received award R01HD101560?

R01HD101560 was awarded to Baylor College Of Medicine by National Institute of Child Health and Human Development (National Institutes of Health) on September 1, 2021.

How much is award R01HD101560 worth?

$1,741,894 has been obligated on R01HD101560: $1,507,673 in federal funding and $234,221 in non-federal funding.

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