A Wearable In-pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood
ABSTRACT The pain-free regular monitoring of blood-based biomarkers is a highly appealing yet difficult-to-realize approach for the early detection of pathological changes, including cancers, infections, or metabolic diseases, such as diabetes. While a major focus of the research community lies on the investigation of pain-free blood sampling and devices for venous blood analysis, menstruation blood remains a largely ignored sampling source. Growing evidence shows excellent correlation between biomarker levels in menstruation blood and venous blood for an entire clinical panel of analytes. Here, we introduce a wearable, microfluidic diagnostic platform integrated into standard hygiene pads for the electronic-free naked eye-readable direct detection of disease biomarkers in menstruation blood (MenstruAI). We demonstrate semi-quantitative biomarker detection from menstruation using infection and inflammation biomarker C-reactive protein (CRP), gynecological cancer biomarkers (CEA and CA-125), and endometriosis biomarker CA-125 as representative examples of relevant proteinaceous biomarkers. The color-changes induced by the presence of these biomarkers can be read-out by the naked eye as well as by a machine-learning algorithm implemented into a smartphone-app, enabling semi-quantitative analysis. The presented MenstruAI platform has the potential to revolutionize women’s health by providing a non-invasive, affordable, and accessible approach to health monitoring, potentially democratizing healthcare by making health services more available and equitable.<jats:fig id="ufig1" position="float" orientation="portrait" fig-type="figure"><jats:graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="24304704v1_ufig1" position="float" orientation="portrait" /></jats:fig>.
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Preprint| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
bioRxiv.org - (2024) vom: 27. März Zur Gesamtaufnahme - year:2024 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Dosnon, Lucas [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| doi: |
10.1101/2024.03.22.24304704 |
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| PPN (Katalog-ID): |
XBI043039588 |
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| 520 | |a ABSTRACT The pain-free regular monitoring of blood-based biomarkers is a highly appealing yet difficult-to-realize approach for the early detection of pathological changes, including cancers, infections, or metabolic diseases, such as diabetes. While a major focus of the research community lies on the investigation of pain-free blood sampling and devices for venous blood analysis, menstruation blood remains a largely ignored sampling source. Growing evidence shows excellent correlation between biomarker levels in menstruation blood and venous blood for an entire clinical panel of analytes. Here, we introduce a wearable, microfluidic diagnostic platform integrated into standard hygiene pads for the electronic-free naked eye-readable direct detection of disease biomarkers in menstruation blood (MenstruAI). We demonstrate semi-quantitative biomarker detection from menstruation using infection and inflammation biomarker C-reactive protein (CRP), gynecological cancer biomarkers (CEA and CA-125), and endometriosis biomarker CA-125 as representative examples of relevant proteinaceous biomarkers. The color-changes induced by the presence of these biomarkers can be read-out by the naked eye as well as by a machine-learning algorithm implemented into a smartphone-app, enabling semi-quantitative analysis. The presented MenstruAI platform has the potential to revolutionize women’s health by providing a non-invasive, affordable, and accessible approach to health monitoring, potentially democratizing healthcare by making health services more available and equitable.<jats:fig id="ufig1" position="float" orientation="portrait" fig-type="figure"><jats:graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="24304704v1_ufig1" position="float" orientation="portrait" /></jats:fig> | ||
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