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机器学习识别与眼压变化相关的外周循环代谢物。

Machine learning identifying peripheral circulating metabolites associated with intraocular pressure alterations.

机构信息

Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.

Department of Ophthalmology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.

出版信息

Br J Ophthalmol. 2023 Sep;107(9):1275-1280. doi: 10.1136/bjophthalmol-2021-320584. Epub 2022 May 25.

DOI:10.1136/bjophthalmol-2021-320584
PMID:35613841
Abstract

AIMS

To identify blood metabolite markers associated with intraocular pressure (IOP) in a population-based cross-sectional study.

METHODS

This study was conducted in a multiethnic Asian population (Chinese, n=2805; Indians, n=3045; Malays, n=3041 aged 40-80 years) in Singapore. All subjects underwent standardised systemic and ocular examinations, and biosamples were collected. Selected metabolites (n=228) in either serum or plasma were analysed and quantified using nuclear magnetic resonance spectroscopy. Least absolute shrinkage and selection operator regression was used for metabolites selection. Multivariable linear regression was used to evaluate the relationship between metabolites and IOP in each of the three ethnic groups, followed by a meta-analysis combining the three cohorts.

RESULTS

Six metabolites, including albumin, glucose, lactate, glutamine, ratio of saturated fatty acids to total fatty acids (SFAFA) and cholesterol esters in very large high-density lipoprotein (HDL), were significantly associated with IOP in all three cohorts. Higher levels of albumin (per SD, beta=0.24, p=0.002), lactate (per SD, beta=0.27, p=0.008), glucose (per SD, beta=0.11, p=0.010) and cholesterol esters in very large HDL (per SD, beta=0.47, p=0.006), along with lower levels of glutamine (per SD, beta=0.17, p<0.001) and SFAFA (per SD, beta=0.21, p=0.008) were associated with higher IOP levels.

CONCLUSION

We identify several novel blood metabolites associated with IOP. These findings may provide insight into the physiological and pathological processes underlying IOP control.

摘要

目的

在一项基于人群的横断面研究中,确定与眼内压(IOP)相关的血液代谢标志物。

方法

本研究在新加坡的一个多民族亚洲人群(中国人,n=2805;印度人,n=3045;马来人,n=3041,年龄 40-80 岁)中进行。所有受试者均接受了标准化的全身和眼部检查,并采集了生物样本。使用核磁共振波谱法分析和定量检测血清或血浆中的选定代谢物(n=228)。使用最小绝对收缩和选择算子回归选择代谢物。在每个种族群体中,使用多变量线性回归评估代谢物与 IOP 之间的关系,然后对三个队列进行荟萃分析。

结果

在所有三个队列中,有 6 种代谢物,包括白蛋白、葡萄糖、乳酸、谷氨酰胺、饱和脂肪酸与总脂肪酸的比值(SFAFA)和非常大的高密度脂蛋白(HDL)中的胆固醇酯,与 IOP 显著相关。白蛋白(每标准差,β=0.24,p=0.002)、乳酸(每标准差,β=0.27,p=0.008)、葡萄糖(每标准差,β=0.11,p=0.010)和非常大的 HDL 中的胆固醇酯(每标准差,β=0.47,p=0.006)水平升高,而谷氨酰胺(每标准差,β=0.17,p<0.001)和 SFAFA(每标准差,β=0.21,p=0.008)水平降低与更高的 IOP 水平相关。

结论

我们确定了几种与 IOP 相关的新型血液代谢物。这些发现可能为眼压控制的生理和病理过程提供新的见解。

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