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睑板腺缩短与睑脂成分改变有关。

Meibomian Gland Shortening Is Associated With Altered Meibum Composition.

机构信息

School of Optometry and Vision Science, University of New South Wales, New South Wales, Sydney, Australia.

出版信息

Invest Ophthalmol Vis Sci. 2024 Jul 1;65(8):49. doi: 10.1167/iovs.65.8.49.

DOI:10.1167/iovs.65.8.49
PMID:39083311
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11290566/
Abstract

PURPOSE

The purpose of this study was to investigate differences in the composition of meibum extracted from human meibomian glands displaying different morphological characteristics.

METHODS

Adult participants with evidence of meibomian gland shortening were enrolled. Glands were observed using infrared meibography, and meibum was collected from one short and one long gland from the lower eyelid of the same eye. Total protein concentration was evaluated using the detergent compatible (DC) protein assay and lipid analysis was performed using liquid chromatography mass spectrometry.

RESULTS

Fifteen participants (8 women and 7 men) completed the study (mean age = 34.7 ± 7.7 years). The average volume of meibum collected from the short and long glands was 0.02 ± 0.01 and 0.05 ± 0.03 µL, respectively (P = 0.01). Average protein concentration in the short glands was significantly higher compared to the long glands (0.10 ± 0.03 vs. 0.08 ± 0.02 mg/mL, P = 0.01). Among the non-polar lipids, the mole percent of cholesterol esters (CEs; P = 0.02), triacylglycerols (TAGs; P = 0.04), and ceramide (Cer; P = 0.03) was significantly lower in short glands compared with long glands. Among the polar lipids, the mole percent of (O-acyl)-ω-hydroxy fatty acid (OAHFA; P = 0.01) was significantly lower in short glands, whereas phosphatidylcholine (PC; P = 0.02) and sphingomyelin (SM; P = 0.01) were significantly higher in short glands than long glands.

CONCLUSIONS

Meibum composition differed between short and long glands. The lower mole percent of CE, TAG, OAHFA, and Cer and a higher mole percent of PC and SM among short glands may indicate disease activity. This information may clarify the natural history of meibomian gland dysfunction and future targets for therapy.

摘要

目的

本研究旨在探讨形态不同的人睑板腺中提取的睑脂组成的差异。

方法

纳入有睑板腺缩短证据的成年参与者。使用红外睑板腺照相术观察腺体,并从同一只眼的下眼睑的一个短腺和一个长腺中采集睑脂。使用去污剂兼容(DC)蛋白测定法评估总蛋白浓度,并使用液相色谱-质谱法进行脂质分析。

结果

15 名参与者(8 名女性和 7 名男性)完成了研究(平均年龄=34.7±7.7 岁)。从短腺和长腺采集的睑脂体积分别为 0.02±0.01 和 0.05±0.03 µL(P=0.01)。短腺中的平均蛋白浓度明显高于长腺(0.10±0.03 与 0.08±0.02 mg/mL,P=0.01)。在非极性脂质中,胆固醇酯(CE;P=0.02)、三酰甘油(TAG;P=0.04)和神经酰胺(Cer;P=0.03)的摩尔百分比在短腺中明显低于长腺。在极性脂质中,(O-酰基)-ω-羟基脂肪酸(OAHFA;P=0.01)的摩尔百分比在短腺中明显较低,而短腺中的磷脂酰胆碱(PC;P=0.02)和鞘磷脂(SM;P=0.01)的摩尔百分比明显高于长腺。

结论

短腺和长腺的睑脂组成不同。短腺中 CE、TAG、OAHFA 和 Cer 的摩尔百分比较低,而 PC 和 SM 的摩尔百分比较高,这可能表明疾病活动度较高。这些信息可能阐明了睑板腺功能障碍的自然史和未来的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e9/11290566/7cc606af6ac5/iovs-65-8-49-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e9/11290566/6121dcd55ef0/iovs-65-8-49-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e9/11290566/ea0451ccc829/iovs-65-8-49-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e9/11290566/7cc606af6ac5/iovs-65-8-49-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e9/11290566/6121dcd55ef0/iovs-65-8-49-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e9/11290566/ea0451ccc829/iovs-65-8-49-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4e9/11290566/7cc606af6ac5/iovs-65-8-49-f003.jpg

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Dyslipidemia Exacerbates Meibomian Gland Dysfunction: A Systematic Review and Meta-Analysis.血脂异常加剧睑板腺功能障碍:一项系统评价和荟萃分析。
J Clin Med. 2023 Mar 8;12(6):2131. doi: 10.3390/jcm12062131.
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Dry Eye Disease Associated with Meibomian Gland Dysfunction: Focus on Tear Film Characteristics and the Therapeutic Landscape.
与睑板腺功能障碍相关的干眼疾病:聚焦于泪膜特征与治疗前景
Ophthalmol Ther. 2023 Jun;12(3):1397-1418. doi: 10.1007/s40123-023-00669-1. Epub 2023 Mar 1.
4
The role of sphingolipids in meibomian gland dysfunction and ocular surface inflammation.鞘脂在睑板腺功能障碍和眼表炎症中的作用。
Ocul Surf. 2022 Oct;26:100-110. doi: 10.1016/j.jtos.2022.07.006. Epub 2022 Aug 13.
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Automated quantification of meibomian gland dropout in infrared meibography using deep learning.基于深度学习的红外共焦显微镜下睑板腺缺失的自动量化
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