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Published on: July 21, 2016
Harmonizing Maternal and Infant Biospecimen Collection and Processing for Research
Chris E Philip1, Hani Faysal2, Sara K Quinney1
1Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Biopreservation and Biobanking
|May 25, 2026
Summary
Maternal and infant biobanks show significant harmonization in biospecimen collection and processing. This consistency facilitates cross-biobank collaboration and secondary research use, reducing barriers to data integration.
Area of Science:
- Biomedical research
- Reproductive health
- Biobanking
Background:
- Pre-analytical variability in biospecimen handling is a key challenge in maternal and infant research.
- This variability hinders cross-cohort collaboration and the secondary use of valuable biospecimens.
- Standardization is crucial for ensuring data reproducibility and comparability.
Purpose of the Study:
- To assess the degree of harmonization in pre-analytical procedures across major maternal and infant biobanks.
- To identify commonalities and variations in biospecimen collection and processing protocols.
- To evaluate the impact of harmonization on cross-biobank collaboration.
Main Methods:
- Descriptive review of publicly available protocols and standard operating procedures (SOPs).
- Analysis of harmonization across various maternal and infant specimen types (blood, urine, placenta, breast milk, etc.).
- Comparison of key pre-analytical parameters including collection, processing, storage, and shipping.
Main Results:
- Substantial convergence observed in core pre-analytical parameters across biobanks.
- High consistency in collection timing, temperature control, centrifugation, aliquoting, storage (-80°C or liquid nitrogen), and cold-chain shipping.
- Minor variability noted in placental sampling and tissue handling, often specific to analytic aims.
Conclusions:
- Meaningful harmonization in biospecimen workflows is largely in place across maternal and infant biobanks.
- Barriers to collaboration may stem more from metadata capture and data integration than laboratory procedures.
- Existing biospecimen resources can be leveraged for collaborative research without extensive workflow re-standardization.
