Li Dang, Li Minghao, Gao Hangqi, Hu Kailun, Xie Rongrong, Fan Jing, Huang Mingquan, Liao Chengxin, Han Chang, Guo Zhihui, Chen Xiaosong, Li Ming
Nursing Department of Fujian Medical University Union Hospital, Fuzhou, China.
Department of Plastic Surgery and Regenerative Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
Front Microbiol. 2024 Nov 28;15:1475984. doi: 10.3389/fmicb.2024.1475984. eCollection 2024.
Keloid scarring is a fibroproliferative disease of the skin, which can significantly impact one's quality of life through cosmetic concerns, physical discomfort (itchy; painful), restricted movement, and psychological distress. Owing to the poorly understood pathogenesis of keloids and their high recurrence rate, the efficacy of keloid treatment remains unsatisfactory, particularly in patients susceptible to multiple keloids. We conducted fecal metagenomic analyzes and both untargeted and targeted plasma metabolomics in patients with multiple keloids (MK, = 56) and controls with normal scars (NS, = 60); tissue-untargeted metabolomics (MK, = 35; NS, = 32), tissue-targeted metabolomics (MK, = 41; NS, = 36), and single-cell sequencing analyzes (GSE163973). Differences in the gut microbiota composition, plasma metabolites, and tissue metabolites were observed between the MK and NS groups; the core gut microbiota, , , and , were identified via the gut microbiome co-occurrence network. Single-cell data helped clarify the specific cells affected by plasma metabolites. An area under the curve analysis using a random forest model based on fecal metagenomics, plasma metabolomics, and tissue metabolomics revealed that gut bacteria, plasma, and tissue metabolites were effective in distinguishing between MK and NS groups. Decreased could lower uracil levels, altering systemic lipid metabolism, which may change the metabolic phenotype of secretory reticular fibroblasts in wounds, potentially leading to MK. These findings may open new avenues for understanding the multifactorial nature of keloid formation from the gut-skin axis and highlight the potential for novel therapeutic strategies targeting keloid lesions and the underlying systemic imbalances affected by the gut microbiome.
瘢痕疙瘩是一种皮肤纤维增生性疾病,可通过美容问题、身体不适(瘙痒、疼痛)、活动受限和心理困扰等显著影响患者的生活质量。由于瘢痕疙瘩的发病机制尚不清楚且复发率高,瘢痕疙瘩的治疗效果仍不尽人意,尤其是在易患多发性瘢痕疙瘩的患者中。我们对多发性瘢痕疙瘩患者(MK,n = 56)和正常瘢痕对照者(NS,n = 60)进行了粪便宏基因组分析以及非靶向和靶向血浆代谢组学分析;还进行了组织非靶向代谢组学分析(MK,n = 35;NS,n = 32)、组织靶向代谢组学分析(MK,n = 41;NS,n = 36)以及单细胞测序分析(GSE163973)。MK组和NS组之间在肠道微生物群组成、血浆代谢物和组织代谢物方面存在差异;通过肠道微生物组共现网络鉴定出核心肠道微生物群、、和。单细胞数据有助于阐明受血浆代谢物影响的特定细胞。使用基于粪便宏基因组学、血浆代谢组学和组织代谢组学的随机森林模型进行的曲线下面积分析表明,肠道细菌、血浆和组织代谢物可有效区分MK组和NS组。水平降低会降低尿嘧啶水平,改变全身脂质代谢,这可能会改变伤口中分泌性网状成纤维细胞的代谢表型,从而可能导致瘢痕疙瘩形成。这些发现可能为从肠-皮肤轴理解瘢痕疙瘩形成的多因素性质开辟新途径,并突出针对瘢痕疙瘩病变以及受肠道微生物群影响的潜在全身失衡的新型治疗策略的潜力。