Skip to content

Prospective cohort study 'Risk birth cohort Oldenburg (RisikO)' - perinatal course

Prospective cohort study 'Risk birth cohort Oldenburg (RisikO)' - perinatal course - RisikO

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00036823
Enrollment
700
Registered
2025-10-27
Start date
2025-11-18
Completion date
Unknown
Last updated
2026-01-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Risk births

Interventions

Group 1: Premature infants with a gestational age of 23+0 to 36+6 weeks of pregnancy and full-term infants with a gestational age of 37+0 to 40+0 weeks of pregnancy with pregnancy- or birth-related ri

Sponsors

Carl von Ossietzky Universität Oldenburg - Fakultät VI - Medizin und Gesundheitswissenschaften
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Premature babies with a gestational age of 23+0 to 36+6 weeks of pregnancy and full-term newborns with a gestational age of 37+0 to 40+0 weeks of pregnancy with pregnancyor birth-related risk factors who are born at the Perinatal Center at Oldenburg Hospital AöR and whose parents consent to the scientific research.

Exclusion criteria

Exclusion criteria: Prenatal or postnatal diagnosed severe congenital anomalies with cardiopulmonary dysfunction that are incompatible with mid-term survival. Congenital diaphragmatic hernia or reliable trisomy 13 and 18. Metabolic defects, that lead to severe compromise for the organism. Palliativ treatment decided in the first 10 minutes of life postpartum, later change of therapeutic objective hereof excepted.

Design outcomes

Primary

MeasureTime frame
The primary objective is the molecular biological, immunological and genetic characterization of the biosamples obtained from high-risk births up to hospital discharge in order to identify risk markers for better early detection and/or the development of more targeted therapeutic strategies for premature babies. Data collection will end once a case number of n=500 (main group, premature infants) and n=200 (reference group, full-term infants after high-risk birth) children has been reached. The study will end 10 years after the last patient has been included in the study in order to allow for all necessary analyses and evaluations. The number of participants is recorded by the Treuhandstelle UOL , which monitors the consent and pseudonymization of participants. Planned evaluations and analyses: To characterize the transcriptome and proteome, cell biological surface markers (CD3, CD4, CD8, CD11a/b, CD14, CD15, CD16, CD18, CD19, CD27, CD45, CD54, CD56, NKp44, NKp46) are examined using flow cytometry and the cells are differentiated into neutrophils, monocytes/macrophages, B lymphocytes, T4/T8 lymphocytes, NK cells. If necessary, further surface markers that are identified as potentially relevant for this study cohort during the course of the study will be included. Certain cells may be propagated under cell culture conditions and, depending on the data available, stimulated with 1) individual regulated cytokines or a combination of these and the effect on e.g. proliferation, differentiation and apoptosis is determined 2)Cell lines of the hematopoietic cell fraction of interest and primary cells of the tracheal secretion co-incubated before and after stimulation/differentiation (evaluation see 1) Molecular supernatants, tissue and cell fractions are examined to analyze the transcriptome, metabolome and proteome. For this purpose, common PCR methods, microarray analyses, common GC/LC-MS protocols and focused analyses of proteins, e.g. growth factors, members of the dea

Secondary

MeasureTime frame
Further cDNA libraries are to be created through single-cell analysis. This will be followed by bioinformatic processing of the raw data in order to obtain counting matrices for the isolated nuclei. Based on the harmonized object, the signaling pathways of immune development in the first days of life will be traced. To identify regulatory networks, a selection of genes controlling the maturation of the immune system in clinically normal newborns without lung disease will be generated. The prioritization of transcription factors crucial for physiological immune cell differentiation is performed using the SCENIC algorithm (Aibar et al., 2017).

Countries

Germany

Contacts

Public ContactAnne Hilgendorff

Carl von Ossietzky Universität Oldenburg - Fakultät VI - Universitätsklinik für Kinder- und Jugendmedizin, Klinikum Oldenburg AöR

risiko-studie@uni-oldenburg.de+49 441 798 4428

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026