Literature DB >> 31197878

Predicting respiratory distress syndrome at birth using fast test based on spectroscopy of gastric aspirates. 1. Biochemical part.

Peter Schousboe1, Henrik Verder1, Torben E Jessen2, Christian Heiring3, Lars Bender4, Finn Ebbesen4, Marianne Dahl5, Christian Eschen1, Jesper Fenger-Grøn6, Agnar Höskuldsson1, Jes Reinholdt7, Nikolaos Scoutaris1, Heidi Smedegaard3,8.   

Abstract

AIM: To develop a fast bedside lung maturity test.
METHODS: Gastric aspirates obtained from premature infants contain lamellar bodies, carrying lung surfactant. To estimate lung maturity, we isolated lamellar bodies from fresh gastric aspirates by centrifugation. Erythrocytes and other cells were lysed by adding water and discarded subsequently with the supernatant. Mid-infrared spectroscopy was then performed to measure the lung maturity as lecithin-sphingomyelin ratio. Lecithin was determined as dipalmitoylphosphatidylcholine, the most surface-active phospholipid. Algorithms to measure lecithin and sphingomyelin concentrations in fresh gastric aspirates were developed on aspirates from 140 premature infants. Each gastric aspirate sample was divided into two samples: one for mass spectrometry as reference and one for spectroscopy. Development of the algorithm is described in detail in Appendix S1.
RESULTS: Gastric aspirates stored at 4-5°C avoid flocculation of proteins and phospholipids in contrast to when the aspirates were frozen and thawed. Omission of freezing and concentration of the lung surfactant by centrifugation combined with diminished influence of proteins improves the spectroscopic measurement of lecithin-sphingomyelin ratio. Measurement of lecithin-sphingomyelin ratio by the new method was performed within 10-15 minutes.
CONCLUSION: We present a new fast bedside lung maturity test on fresh gastric aspirate for early targeted surfactant treatment. ©2019 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Gastric aspirate; Lamellar bodies; Lecithin-sphingomyelin ratio (L/S); Mid-infrared spectroscopy; Prematurity; Respiratory distress syndrome

Mesh:

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Year:  2019        PMID: 31197878     DOI: 10.1111/apa.14896

Source DB:  PubMed          Journal:  Acta Paediatr        ISSN: 0803-5253            Impact factor:   2.299


  3 in total

1.  Bronchopulmonary dysplasia predicted at birth by artificial intelligence.

Authors:  Henrik Verder; Christian Heiring; Rangasamy Ramanathan; Nikolaos Scoutaris; Povl Verder; Torben E Jessen; Agnar Höskuldsson; Lars Bender; Marianne Dahl; Christian Eschen; Jesper Fenger-Grøn; Jes Reinholdt; Heidi Smedegaard; Peter Schousboe
Journal:  Acta Paediatr       Date:  2020-07-27       Impact factor: 2.299

Review 2.  Techniques to evaluate surfactant activity for a personalized therapy of RDS neonates.

Authors:  Chiara Autilio
Journal:  Biomed J       Date:  2021-11-07       Impact factor: 4.910

3.  Reduced levels of pulmonary surfactant in COVID-19 ARDS.

Authors:  Peter Schousboe; Andreas Ronit; Henning B Nielsen; Thomas Benfield; Lothar Wiese; Nikolaos Scoutaris; Henrik Verder; Ronan M G Berg; Povl Verder; Ronni R Plovsing
Journal:  Sci Rep       Date:  2022-03-08       Impact factor: 4.379

  3 in total

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