Widely targeted plasma lipidomic analysis of Term Low Birth Weight Infants: unraveling signatures and implications for early growth patterns

IF 3.1 3区医学 Q2 CHEMISTRY, ANALYTICAL Journal of pharmaceutical and biomedical analysis Pub Date : 2025-02-06 DOI:10.1016/j.jpba.2025.116732

Jing Liu , Qi Sun , Lijuan Tang , Di Lv , Yuanmei Chen , Fang Ye , Die Liu , Haixiao Liang , Chao Wang , Qi Zhang

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Abstract

Low birth weight is recognized as a risk factor for adult metabolic and cardiovascular diseases. This study investigates whether term low birth weight (TLBW) neonates, who have been exposed to unfavorable settings, demonstrate compromised lipid metabolism. A widely targeted lipidomic analysis was conducted using ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) on 59 plasma samples (28 TLBW and 31 term normal birth weight (TNBW) neonates. We conducted univariate and multivariate analyses to identify differential lipids. Spearman's correlation coefficient assessed the association between lipid content at birth and Z-scores for the subsequent physical growth of enrolled children. A total of 1523 lipids in 36 subcategories across 6 major categories were detected. 269 differential lipids were discerned, with 114 up-regulated and 155 down-regulated. In the TLBW group, we observed higher levels of sphingomyelins (including SM(d18:1/16:1), SM(d18:2/23:1), SM(d18:1/22:0), and SM(d18:2/24:1)), Hex3Cer(d18:1/16:0), as well as phosphatidylcholines (PC(O-14:0_20:4) and PC(O-16:0_20:4)), and cholesterol esters (CE (20:4)). In contrast, phosphatidylethanolamines (PE) such as PE (18:2_22:1), PE (18:1_22:1), and triglyceride (TG(10:0_16:2_18:2)) were lower. The KEGG enrichment analysis revealed a consistent alteration in both sphingolipid metabolism and steroid biosynthesis. Moreover, PC(O-16:0_20:4), Hex3Cer(d18:1/16:0), and CE(20:4) exhibited positive correlations with the Z-score of height-for-age at follow-up, while PE(O-18:1_24:4) and PS(20:2_22:4) showed negative correlations with the Z-score of weight-for-age. Our findings reveal novel lipidomic differences between TLBW and TNBW neonates. The observed lipid variations at birth, including sphingomyelins and glycerophospholipids, could affect subsequent growth. Further studies are needed to validate these findings in diverse populations, address confounding factors, and investigate underlying mechanisms.

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足月低出生体重儿的广泛靶向血浆脂质组学分析：揭示早期生长模式的特征和含义

低出生体重被认为是成人代谢和心血管疾病的危险因素。本研究调查了暴露于不利环境的足月低出生体重（TLBW）新生儿是否表现出脂质代谢受损。采用超高效液相色谱-串联质谱（UPLC-MS/MS）对59份血浆样本（28例TLBW和31例足月正常出生体重（TNBW）新生儿）进行了广泛靶向的脂质组学分析。我们进行了单变量和多变量分析来识别不同的脂质。Spearman相关系数评估了出生时脂质含量与入组儿童随后身体生长的z分数之间的关系。共检测到6大类36个亚类的1523种脂质。发现了269种不同的脂质，其中114种上调，155种下调。在TLBW组，我们观察到更高水平的鞘磷脂(包括SM（d18:1/16:1）、SM（d18:2/23:1）、SM（d18:1/22:0）和SM（d18:2/24:1）、Hex3Cer（d18:1/16:0）、磷脂酰胆碱(PC（O-14:0_20:4）和PC（O-16:0_20:4）和胆固醇酯（CE(20:4)）。相比之下，磷脂酰乙醇胺（PE）如PE (18:2_22:1)， PE（18:1_22:1）和甘油三酯（TG(10:0_16:2_18:2)）较低。KEGG富集分析显示鞘脂代谢和类固醇生物合成发生了一致的变化。PC（O-16:0_20:4）、Hex3Cer（d18:1/16:0）、CE（20:4）与年龄身高Z-score呈显著正相关，PE（O-18:1_24:4）、PS（20:2_22:4）与年龄体重Z-score呈显著负相关。我们的研究结果揭示了TLBW和TNBW新生儿之间新的脂质组学差异。出生时观察到的脂质变化，包括鞘磷脂和甘油磷脂，可能影响随后的生长。需要进一步的研究在不同的人群中验证这些发现，解决混淆因素，并调查潜在的机制。

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来源期刊

Journal of pharmaceutical and biomedical analysis 医学-分析化学

CiteScore

6.70

自引率

5.90%

发文量

588

审稿时长

37 days

期刊介绍： This journal is an international medium directed towards the needs of academic, clinical, government and industrial analysis by publishing original research reports and critical reviews on pharmaceutical and biomedical analysis. It covers the interdisciplinary aspects of analysis in the pharmaceutical, biomedical and clinical sciences, including developments in analytical methodology, instrumentation, computation and interpretation. Submissions on novel applications focusing on drug purity and stability studies, pharmacokinetics, therapeutic monitoring, metabolic profiling; drug-related aspects of analytical biochemistry and forensic toxicology; quality assurance in the pharmaceutical industry are also welcome. Studies from areas of well established and poorly selective methods, such as UV-VIS spectrophotometry (including derivative and multi-wavelength measurements), basic electroanalytical (potentiometric, polarographic and voltammetric) methods, fluorimetry, flow-injection analysis, etc. are accepted for publication in exceptional cases only, if a unique and substantial advantage over presently known systems is demonstrated. The same applies to the assay of simple drug formulations by any kind of methods and the determination of drugs in biological samples based merely on spiked samples. Drug purity/stability studies should contain information on the structure elucidation of the impurities/degradants.