Liang Hao, Wu Songye, Yang Duo, Huang Jianhua, Yao Xiaolei, Gong Jingbo, Qing Zhixing, Tao Lijuan, Peng Qinghua
Institute of Traditional Chinese Medicine Diagnostics, Hunan University of Chinese Medicine, Changsha, CHN.
Ophthalmology Department, Jili Hospital, Liuyang, CHN.
Cureus. 2023 Aug 5;15(8):e42985. doi: 10.7759/cureus.42985. eCollection 2023 Aug.
Background Basal, reflex, and emotional tears differ in chemical components. It is not yet known whether chemical differences exist in tears of different emotions. We investigated the biochemical basis of emotional tears by performing non-targeted metabolomics analyses of positive and negative emotional tears of humans. Methods Samples of reflex, negative, and positive emotional tears were obtained from 12 healthy college participants (11 females and one male). Untargeted metabolomics was performed to identify metabolites in different types of tears. The differentially altered metabolites were screened and assessed using univariate and multivariate analyses. Results The orthogonal partial least squares discriminant analysis model showed that reflex, negative, and positive emotional tears were clearly separated. A total of 133 significantly differentially expressed metabolites of electrospray ionization source (ESI-) mode were identified between negative and positive emotional tears. The top 50 differentially expressed metabolites between negative and positive emotional tears were highly correlated. Pathway analysis revealed that secretion of negative emotional tears was associated with some synapses in the brain, regulation of a series of endocrine hormones, including the estrogen signaling pathway, and inflammation activities, while secretion of positive emotional tears was correlated with biotin and caffeine metabolism. Conclusions It is indicated that metabolic profiles of reflex, positive, and negative emotional tears of humans are distinct, and secretion of the tears involves distinct biological activities. Therefore, we present a chemical method for detecting human emotions, which may become a powerful tool for the diagnosis of mental diseases and the identification of fake tears.
基础泪液、反射性泪液和情感性泪液在化学成分上有所不同。不同情感状态下的泪液是否存在化学差异尚不清楚。我们通过对人类正负情感性泪液进行非靶向代谢组学分析,研究了情感性泪液的生化基础。
从12名健康大学生参与者(11名女性和1名男性)中获取反射性、负性和正性情感性泪液样本。进行非靶向代谢组学分析以鉴定不同类型泪液中的代谢物。使用单变量和多变量分析筛选和评估差异改变的代谢物。
正交偏最小二乘法判别分析模型显示,反射性、负性和正性情感性泪液明显分离。在负性和正性情感性泪液之间,共鉴定出133种电喷雾电离源(ESI-)模式下显著差异表达的代谢物。负性和正性情感性泪液之间差异表达最高的50种代谢物高度相关。通路分析表明,负性情感性泪液的分泌与大脑中的一些突触、一系列内分泌激素的调节(包括雌激素信号通路)以及炎症活动有关,而正性情感性泪液的分泌与生物素和咖啡因代谢相关。
表明人类反射性、正性和负性情感性泪液的代谢谱不同,泪液分泌涉及不同的生物活动。因此,我们提出了一种检测人类情绪的化学方法,这可能成为诊断精神疾病和识别假眼泪的有力工具。