Integrated Transcriptomics and Metabolomics Analyses of Stress-Induced Murine Hair Follicle Growth Inhibition

Abstract

Psychological stress plays an important role in hair loss, but the underlying mechanisms are not well-understood, and the effective therapies available to regrow hair are rare. In this study, we established a chronic restraint stress (CRS)-induced hair growth inhibition mouse model and performed a comprehensive analysis of metabolomics and transcriptomics. Metabolomics data analysis showed that the primary and secondary metabolic pathways, such as carbohydrate metabolism, amino acid metabolism, and lipid metabolism were significantly altered in skin tissue of CRS group. Transcriptomics analysis also showed significant changes of genes expression profiles involved in regulation of metabolic processes including arachidonic acid metabolism, glutathione metabolism, glycolysis gluconeogenesis, nicotinate and nicotinamide metabolism, purine metabolism, retinol metabolism and cholesterol metabolism. Furthermore, RNA-Seq analyses also found that numerous genes associated with metabolism were significantly changed, such as Hk-1, in CRS-induced hair growth inhibition. Overall, our study supplied new insights into the hair growth inhibition induced by CRS from the perspective of integrated metabolomics and transcriptomics analyses.

Neurotensin counteracts hair growth inhibition induced by chronic restraint stress

“…In order to investigate the potential regulatory effects of CRS on the expression levels of NTS and Ntsr in the skin tissues, we subjected mice to a daily 6‐h confinement in 50 mL conical tubes for a duration of 20 days. This experimental model was implemented without subjecting the mice to physical compression, as previously described in our published work 6,18 . The skin tissues were harvested and subjected for transcriptomics analysis.…”

“…This experimental model was implemented without subjecting the mice to physical compression, as previously described in our published work. 6,18 The skin tissues were harvested and subjected for transcriptomics analysis. As shown in Figure 1A, CRS significantly dysregulated a vast of genes expression in the skin tissues of mice.…”

The Membrane Phospholipidomics Research of Oxidatively Damaged INS‐1 Pancreatic Beta Cells Intervened by the Effective Constituents of Anemarrhenae Asphodeloides Rhizoma

“…PLS‐DA analysis method is a supervised learning method, which is more accurate for the hypothetical data analysis than the unsupervised learning method [49] . Meanwhile, PLS‐DA has a more obvious advantage in regression modeling with variable multiple correlation, fewer samples and more variables [50] . In PLS‐DA analysis, variables with VIP values greater than 1 are considered as important variables [51] .…”

“…[49] Meanwhile, PLS-DA has a more obvious advantage in regression modeling with variable multiple correlation, fewer samples and more variables. [50] In PLS-DA analysis, variables with VIP values greater than 1 are considered as important variables. [51] OPLS-DA analysis method eliminates the orthogonal and Y variables on the basis of PLS-DA, [52,53] and OPLS-DA analysis has better clustering grouping ability than PLS-DA.…”

Metabolomic Analysis and MRM Verification of Coarse and Fine Skin Tissues of Liaoning Cashmere Goat

“…This research illustrates that variation in the amounts of amino acids, TCA cycle intermediates, fatty acids, cofactors, vitamin-related metabolites, and xenobiotics can be reflected in alterations in the hair metabolome during pregnancy [ 5 ]. Wang et al reported that the skin of rats in the chronic restraint stress (CRS) group showed significant modifications in the primary and secondary metabolic pathways of carbohydrate metabolism, amino acid metabolism, and lipid metabolism through the metabonomic analysis of hair growth induced by CRS in rats [ 6 ]. Each functional state of the skin has its specific metabolite pattern, which can also reflect the underlying cells and mechanisms of action [ 7 ].…”