Identification of Biomarkers of Mastitis

NCT ID: NCT05021042

Last Updated: 2021-09-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-05-01

Study Completion Date

2023-04-30

Brief Summary

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Breastfeeding is the optimal feeding for infants. WHO currently promotes breastfeeding and recommends it to be exclusive until the baby is 6 months old. Breastfeeding has a positive impact on both the mother's and the infant's health and is directly associated with the decrease in diseases such as cancer, diabetes, cardiovascular disease, and inflammatory and infectious diseases. Currently, in Spain, only 39% of infants at 6 months are breastfed. The factors that influence the abandonment of breastfeeding are returning to work, the sensation of hypogalactia, problems to breastfeed, and breast complications, like mastitis, being the pain its main cause. Recent studies have associated pain while breastfeeding with mammary gland inflammation (mastitis) caused by dysbiosis.

In order to increase breastfeeding rates, it is necessary to find factors related to the progression of mastitis in breastfeeding women. In this context, the discovery of predictive biomarkers based on metabolic markers is key to act before or at the beginning of the progression of mastitis and thus reduce the rates of abandonment of breastfeeding due to pain.

The present project aims to identify and validate metabolic biomarkers capable of predicting mastitis. For this purpose, a prospective observational case-control hypothesis-free study will be carried out in order to identify and validate biomarkers of mastitis in breastfeeding women. The study will be performed in two phases: the discovery of the possible biomarkers and the validation of the biomarkers.

Breast milk will be collected at the beginning of the study and when women present symptoms compatible with mastitis. The presence or not of mastitis will be confirmed with a milk culture. Milk samples will be analyzed using non-targeted metabolomics approach. Using multivariate statistical models, the potential metabolites capable of discriminating the presence of mastitis in maternal milk will be identified. Later, these potential markers will be validated in independent samples.

Detailed Description

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Conditions

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Breast Feeding Mastitis Mastitis Acute Female

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Acute mastitis (MA)

Lactating women with confirmed acute mastitis

No interventions assigned to this group

Subacute mastitis (SAM)

Lactating women with confirmed subacute mastitis

No interventions assigned to this group

Control (CT)

Lactating women with the absence of acute or subacute mastitis symptomatology.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Breastfeeding women with healthy full-term, singleton infants older than 1 months weeks and younger than 6 months.
* Provide written informed consent

Exclusion Criteria

* Immunocompromised suppressed women (i.e. HIV, following treatment with immunosuppressants or chemotherapy).
* Currently being treated for cancer
* Current infection being treated with antibiotics.
* Women who carry out a complete deferred breastfeeding.
* Women with babies presenting any syndrome, cleft lip or facial malformations.
* Currently tandem breastfeeding.
* Women who have had a premature delivery
Minimum Eligible Age

18 Years

Maximum Eligible Age

40 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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LactApp Women's Health

INDUSTRY

Sponsor Role lead

Responsible Party

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Paola Quifer Rada

Clinical Data Researcher

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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LactApp Clinic

Barcelona, , Spain

Site Status RECRUITING

Countries

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Spain

Facility Contacts

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Paola Quifer-Rada, PhD

Role: primary

Laia Aguilar-Camprubí

Role: backup

Related Links

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Other Identifiers

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LactApp001

Identifier Type: -

Identifier Source: org_study_id

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