妊娠的动态炎症谱可以使用一种新的基于脂质的质谱技术进行监测

IF 3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Molecular omics Pub Date : 2023-03-08 DOI:10.1039/D2MO00294A
April Rees, Zoe Edwards-I-Coll, Oliver Richards, Molly E Raikes, Roberto Angelini and Catherine A Thornton
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引用次数: 0

摘要

在整个妊娠期间,脂质环境会发生生理上的变化,如胰岛素抵抗和病理上的变化,如妊娠期糖尿病(GDM)。应用于最低限度处理血液的新型质谱(MS)技术可能有助于监测血脂谱的变化,从而为怀孕期间的护理决策提供信息。在这项研究中,我们使用完整的三明治,MALDI-ToF质谱法鉴定磷脂酰胆碱(PC)和溶血磷脂酰胆碱(LPC)物种,并计算其比率作为炎症指标。血浆和血清分别取自妊娠16周、28周(包括gdm阳性妇女)和37周以上(足月)的孕妇静脉血和脐带血(UCB)。月经周期正常的女性和年龄匹配的男性在一个月内的6个时间点提供手指刺破所得的毛细血管血清。血清比血浆更适合测定PC/LPC。随着妊娠的进展,抗炎表型在母体循环中占主导地位,表现为PC/LPC比值的增加。相比之下,UCB的PC/LPC比率与未怀孕的献血者一致。BMI对PC/LPC比值无显著影响,但gdm合并妊娠在妊娠16周时PC/LPC显著降低。为了进一步转化PC/LPC比值的临床应用,我们评估了指刺血的效用;毛细血管血清与静脉血清间无显著差异,且PC/LPC比值随月经周期波动。总的来说,我们表明,PC/LPC比率可以在人类血清中简单地测量,并且有可能被用作(正常)适应性炎症的时间效率和侵入性较小的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The dynamic inflammatory profile of pregnancy can be monitored using a novel lipid-based mass spectrometry technique†

The dynamic inflammatory profile of pregnancy can be monitored using a novel lipid-based mass spectrometry technique†

The lipid environment changes throughout pregnancy both physiologically with emergent insulin resistance and pathologically e.g., gestational diabetes mellitus (GDM). Novel mass spectrometry (MS) techniques applied to minimally processed blood might lend themselves to monitoring changing lipid profiles to inform care decisions across pregnancy. In this study we use an intact-sandwich, MALDI-ToF MS method to identify phosphatidylcholine (PC) and lysophosphatidylcholine (LPC) species and calculate their ratio as an indicator of inflammation. Plasma and sera were prepared from venous blood of non-pregnant women (aged 18–40) and pregnant women at 16 weeks, 28 weeks (including GDM-positive women), and 37+ weeks (term) of gestation alongside umbilical cord blood (UCB). Women with a normal menstrual cycle and age-matched men provided finger-prick derived capillary sera at 6 time-points over a month. Serum rather than plasma was preferable for PC/LPC measurement. As pregnancy progresses, an anti-inflammatory phenotype dominates the maternal circulation, evidenced by increasing PC/LPC ratio. In contrast, the PC/LPC ratio of UCB was aligned to that of non-pregnant donors. BMI had no significant effect on the PC/LPC ratio, but GDM-complicated pregnancies had significantly lower PC/LPC at 16 weeks of gestation. To further translate the use of the PC/LPC ratio clinically, the utility of finger-prick blood was evaluated; no significant difference between capillary versus venous serum was found and we revealed the PC/LPC ratio oscillates with the menstrual cycle. Overall, we show that the PC/LPC ratio can be measured simply in human serum and has the potential to be used as a time-efficient and less invasive biomarker of (mal)adaptative inflammation.

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来源期刊
Molecular omics
Molecular omics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
5.40
自引率
3.40%
发文量
91
期刊介绍: Molecular Omics publishes high-quality research from across the -omics sciences. Topics include, but are not limited to: -omics studies to gain mechanistic insight into biological processes – for example, determining the mode of action of a drug or the basis of a particular phenotype, such as drought tolerance -omics studies for clinical applications with validation, such as finding biomarkers for diagnostics or potential new drug targets -omics studies looking at the sub-cellular make-up of cells – for example, the subcellular localisation of certain proteins or post-translational modifications or new imaging techniques -studies presenting new methods and tools to support omics studies, including new spectroscopic/chromatographic techniques, chip-based/array technologies and new classification/data analysis techniques. New methods should be proven and demonstrate an advance in the field. Molecular Omics only accepts articles of high importance and interest that provide significant new insight into important chemical or biological problems. This could be fundamental research that significantly increases understanding or research that demonstrates clear functional benefits. Papers reporting new results that could be routinely predicted, do not show a significant improvement over known research, or are of interest only to the specialist in the area are not suitable for publication in Molecular Omics.
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