Literature DB >> 2675912

Current perspectives in assessment of fetal pulmonary surfactant status with amniotic fluid.

T Spillman1, D B Cotton.   

Abstract

In recent years, improvements in analytical methodology and clinical management of maternal-fetal diseases have altered the understanding of data from amniotic fluid analysis. Delays in phospholipid production or lung function are not currently reported in maternal diabetes. Fetal lung function following glucocorticoid therapy or premature membrane rupture is uncoupled from amniotic fluid phospholipid concentrations, which do not have the usual significance in these circumstances. Phosphatidylglycerol (PG) is present prior to the usual time it is detected by thin layer chromatography (TLC) methods, which vary in sensitivity for PG. Consequently, the significance of its "absence" is highly varied. These observations are discussed in light of the earlier methods and data, along with new perceptions of the functions of the individual phospholipids and apoproteins, the regulatory mechanism of surfactant production, and the relationship of amniotic fluid components to neonatal lung function.

Entities:  

Mesh:

Substances:

Year:  1989        PMID: 2675912     DOI: 10.3109/10408368909105719

Source DB:  PubMed          Journal:  Crit Rev Clin Lab Sci        ISSN: 1040-8363            Impact factor:   6.250


  2 in total

1.  Rapid test for lung maturity, based on spectroscopy of gastric aspirate, predicted respiratory distress syndrome with high sensitivity.

Authors:  Henrik Verder; Christian Heiring; Howard Clark; David Sweet; Torben E Jessen; Finn Ebbesen; Lars J Björklund; Bengt Andreasson; Lars Bender; Aksel Bertelsen; Marianne Dahl; Christian Eschen; Jesper Fenger-Grøn; Stine F Hoffmann; Agnar Höskuldsson; Maria Bruusgaard-Mouritsen; Fredrik Lundberg; Anthony D Postle; Peter Schousboe; Peter Schmidt; Hristo Stanchev; Lars Sørensen
Journal:  Acta Paediatr       Date:  2016-12-20       Impact factor: 2.299

2.  Prediction of Neonatal Respiratory Distress Biomarker Concentration by Application of Machine Learning to Mid-Infrared Spectra.

Authors:  Waseem Ahmed; Aneesh Vincent Veluthandath; David J Rowe; Jens Madsen; Howard W Clark; Anthony D Postle; James S Wilkinson; Ganapathy Senthil Murugan
Journal:  Sensors (Basel)       Date:  2022-02-23       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.