基于脂质组学的敏感性皮肤表面脂质差异分析

doi:10.3969/j.issn.2097-2806.2023.09.002

摘要/Abstract

摘要：

建立了基于脂质组学技术的人面部皮肤表面脂质采集、检测及分析方法，用于敏感性皮肤脂质代谢紊乱的研究。首先通过乳酸刺痛实验将青年女性志愿者分为敏感性皮肤组和非敏感性皮肤组，检测其生理指标并采集面部皮肤表面脂质进行超高效液相色谱-四极杆-飞行时间质谱（UPLC-Q-TOF-MS）分析。随后，运用正交偏最小二乘-判别分析（OPLS-DA）结合t检验筛选出差异性成分并进行精准二级质谱鉴定，共指认出29种甘油三酯类（TG）差异性脂质。与非敏感性皮肤组相比，敏感性皮肤组中这些差异性TG的水平显著降低，并对相关生物学意义进行了阐述。本研究为敏感性皮肤发生机制的探索及相关护肤品的研发提供了理论指导和技术支撑。

关键词: 脂质组学, 敏感性皮肤, 差异性脂质, 甘油三酯

Abstract:

This paper established a method for collecting, detecting, and analyzing the human facial skin surface lipids based on lipidomics technology for the study of lipid metabolic disorders in sensitive skin. Firstly, the young female volunteers were divided into the sensitive skin group and non-sensitive skin group by lactic acid stinging test, then the physiological indices were detected and the facial skin surface lipids were analyzed by the ultra-high performance liquid chromatography-quadrupole-time of flight mass spectrometry （UPLC-Q-TOF-MS）. Subsequently, the differential components were screened by orthogonal partial least-squares discrimination analysis （OPLS-DA） combined with t test and identified via high-resolution MS/MS, and totally 29 differential lipids of triglyceride （TG） were assigned. Compared with the non-sensitive skin group, the levels of these differential TGs are significantly reduced in the sensitive skin group, and the relevant biological significance is explained. This study provides theoretical guidance and technical support for the exploration of the pathogenesis of sensitive skin as well as the research and development of related skin care products.

Key words: lipidomics, sensitive skin, differential lipids, triglyceride

中图分类号:

TQ658

万宗元, 佟薇, 周淳, 胡坪, 欧阳胜, 章弘扬. 基于脂质组学的敏感性皮肤表面脂质差异分析[J]. 日用化学工业（中英文）, 2023, 53(9): 999-1007.

Wan Zongyuan, Tong Wei, Zhou Chun, Hu Ping, Ouyang Sheng, Zhang Hongyang. Differential analysis of sensitive skin surface lipids based on lipidomics[J]. China Surfactant Detergent & Cosmetics, 2023, 53(9): 999-1007.

图/表 10

Time/min	Lipids	m/z	Characteristic fragment ions	VIP	P
11.58	TG （16:1/16:0/15:0）	808.739 4	535.471 6, 537.486 1, 549.486 9	5.75	4.5×10^-5
11.81	TG （18:1/16:1/16:0）	848.765 0	549.485 7, 575.502 9, 577.517 0	5.23	1.3×10^-4
11.36	TG （16:1/16:0/14:0）	794.722 8	521.456 8, 523.471 7, 549.486 9	4.72	2.0×10^-5
11.11	TG （16:1/15:0/14:0）	780.707 9	509.453 8, 521.454 7, 535.470 4	4.40	2.0×10^-5
11.71	TG （16:0/16:0/14:0）	796.739 8	523.472 8, 551.499 8	4.25	6.4×10^-3
11.46	TG （18:1/16:1/14:0）	820.727 1	521.456 9, 549.489 3, 575.505 7	4.21	1.2×10^-4
10.88	TG （16:1/14:0/14:0）	766.692 1	495.438 3, 521.453 5	3.77	7.8×10^-6
11.66	TG （18:1/16:1/15:0）	834.737 2	535.469 7, 563.502 6, 575.503 1	3.41	1.9×10^-5
11.00	TG （16:1/16:1/14:0）	792.689 8	521.455 3, 547.470 9	3.40	2.0×10^-5
11.23	TG （16:1/16:1/15:0）	806.712 3	535.472 7, 547.471 1	3.40	3.2×10^-6
11.10	TG （18:1/16:1/14:1）	818.714 1	519.438 6, 547.471 4, 575.505 7	2.74	1.5×10^-5
11.53	TG （18:1/16:1/16:1）	846.727 8	547.471 4, 575.502 9	2.72	1.2×10^-4
10.61	TG （16:1/14:0/13:0）	752.677 1	481.423 1, 507.440 3, 521.454 7	2.52	3.4×10^-6
11.31	TG （17:1/16:1/16:1）	832.706 5	547.472 1, 561.487 9	2.20	1.3×10^-5
10.73	TG （16:1/15:0/14:1）	778.644 0	507.440 8, 519.441 2, 535.470 1	2.20	2.4×10^-5
10.48	TG （16:1/14:1/14:0）	764.676 7	493.422 0, 519.440 1, 521.456 7	1.98	6.0×10^-6
12.15	TG （20:0/18:0/16:1）	906.849 8	577.529 0, 605.550 1, 635.601 7	1.93	6.6×10^-4
10.35	TG （16:1/14:0/12:0）	738.661 5	467.410 8, 493.424 5, 521.455 9	1.84	6.6×10^-6
10.60	TG （16:1/16:1/14:1）	790.692 0	519.441 0, 547.472 5	1.77	6.9×10^-6
10.85	TG （16:1/16:1/15:1）	804.707 9	533.455 7, 547.470 1	1.73	2.9×10^-6
12.18	TG （24:0/16:1/15:0）	920.872 2	535.479 3, 649.613 5, 661.612 6	1.59	3.4×10^-3
10.76	TG （16:0/14:0/12:0）	740.677 8	467.415 3, 495.437 5, 523.470 0	1.47	1.0×10^-4
11.25	TG （18:2/16:1/16:1）	844.738 8	547.472 2, 573.492 5	1.46	2.3×10^-5
12.03	TG （18:1/18:1/17:0）	890.816 5	591.535 0, 603.533 3	1.20	2.1×10^-4
11.93	TG （18:1/18:1/17:1）	888.799 6	589.519 0, 603.535 1	1.18	1.1×10^-4
12.23	TG （25:0/16:1/16:0）	948.780 6	549.486 2, 675.634 2, 677.643 4	1.17	1.5×10^-2
10.20	TG （16:1/14:1/13:0）	750.660 4	479.407 7, 507.439 0, 519.443 1	1.17	6.8×10^-6
12.21	TG （26:0/16:1/16:1）	960.902 0	547.468 5, 689.645 8	1.10	7.3×10^-3
10.43	TG （15:0/14:0/12:0）	726.661 3	467.407 5, 481.423 9, 509.457 7	1.02	1.0×10^-5

参考文献 16

[1]	He L, Zheng J, Ma H Q, et al. Chinese sensitivity of diagnosis and treatment of skin expert consensus[J]. The Chinese Journal of Dermatovenereology, 2017, 31 (1) : 1-4.
[2]	Misery L, Staznder S, Szepietowski J C, et al. Definition of sensitive skin: an expert position paper from the special interest group on sensitive skin of the international forum for the study of itch[J]. Acta. Dermato. Venereologica., 2017, 97 (1) : 4-6. doi: 10.2340/00015555-2397
[3]	Farage M A. The prevalence of sensitive skin[J]. Frontiers in Medicine, 2019, 6: 98. doi: 10.3389/fmed.2019.00098 pmid: 31157225
[4]	Chaturvedi P, Worsley P R, Zanelli G, et al. Quantifying skin sensitivity caused by mechanical insults: a review[J]. Skin Research and Technology, 2022, 28 (1) : 187-199. doi: 10.1111/srt.v28.1
[5]	Li A P, Yang L, Cui T, et al. Uncovering the mechanism of astragali radix against nephrotic syndrome by intergrating lipidomics and network pharmacology[J]. Phytomedicine, 2020, 77: 153274. doi: 10.1016/j.phymed.2020.153274
[6]	Han X L. Lipidomics for studying metabolism[J]. Nature Reviews Endocrinology, 2016, 12 (11) : 668-679. doi: 10.1038/nrendo.2016.98 pmid: 27469345
[7]	Li S, Ganguli-Indra G, Indra A K. Lipidomic analysis of epidermal lipids: a tool to predict progression of inflammatory skin disease in humans[J]. Expert Review of Proteomics, 2016, 13 (5).
[8]	Manav V, Karaali M G, Erdem O, et al. Association between biophysical properties and anxiety in patients with sensitive skin[J]. Skin Research and Technology, 2022, 28 (4) : 556-563. doi: 10.1111/srt.13156 pmid: 35416350
[9]	Seidenari S, Francomano M, Mantovani L. Baseline biophysical parameters in subjects with sensitive skin[J]. Contact Dermatitis, 1998, 38 (6) : 311-315. pmid: 9687028
[10]	Zhou M, Gan Y, He C F, et al. Lipidomics reveals skin surface lipid abnormity in acne in young men[J]. The British Journal of Dermatology, 2018, 179 (3).
[11]	Gan Y, He C F, He C C, et al. Analysis of facial skin surface lipid of female youth in morning and night based on lipidomics method[J]. China Surfactant Detergent & Cosmetics, 2018, 48 (3) : 151-155, 161.
[12]	Jia Y, Gan Y, He C F, et al. The mechanism of skin lipids influencing skin status[J]. Journal of Dermatological Science, 2018, 89 (2) : 112-119. doi: S0923-1811(17)30979-9 pmid: 29174114
[13]	Fan L, Jia Y, Cui L, et al. Analysis of sensitive skin barrier function: basic indicators and sebum composition[J]. International Journal of Cosmetic Science, 2018, 40 (2) : 117-126. doi: 10.1111/ics.12442 pmid: 29215741
[14]	Camera E, Ludovici M, Tortorella S, et al. Use of lipidomics to investigate sebum dysfunction in juvenile acne[J]. Journal of Lipid Research, 2016, 57 (6) : 1051-1058. doi: 10.1194/jlr.M067942 pmid: 27127078
[15]	Grkovich A, Dennis E A. Phosphatidic acid phosphohydrolase in the regulation of inflammatory signaling[J]. Advances in Enzyme Regulation, 2009, 49 (1) : 114-120. doi: 10.1016/j.advenzreg.2009.01.005 pmid: 19534028
[16]	Jin X Z, Cheng S, Chen Z, et al. Effects of triglyceride metabolism on HaCaT cells after ultraviolet irradiation and its mechanism[J]. Progress in Modern Biomedicine, 2014, 14 (33) : 6454-6459.

Group	Sebum/（μg/cm³）	Water （a.u）	TEWL/ （g/h/m³）	pH
Non-sensitive skin	131.0±106.4	64.4±10.4	18.6±3.7	5.2±0.7
Sensitive skin	85.5± 93.0	63.5±11.1	18.9±3.4	5.6±0.5