Zhu Weiwen, Wang Xueming, He Derong, Chen Baiye
Plastic surgery department, Fujian children's hospital, Fuzhou, China.
Arch Dermatol Res. 2024 Dec 20;317(1):139. doi: 10.1007/s00403-024-03576-y.
Skin bacteria infection could be a potential risk factor on wound scar formation, yet the specifics of this relationship are not fully understood. This research investigates the causal relationships between specific skin microbiome and these diseases by using bidirectional Mendelian randomization (MR). This study employed a bidirectional MR analysis using genome-wide association study (GWAS) data to analyze the associations between skin microbiome and pathological scar. Single nucleotide polymorphisms (SNPs) served as instrumental variables (IVs) in MR methods, including inverse variance weighted (IVW), and MR Egger. The IVW analysis suggested a significant relationship between specific skin microbiome and pathlogical scars. Actinomycetales_Sebaceous, Proteobacteria_Sebaceous, ASV072[Paracoccus (unc.)]_Dry, ASV008[Diaphorobacter nitroreducens]_Dry, Pseudomonadales_moist, ASV001[Propionibacterium acnes]_Moist, Moraxellaceae_moist, Flavobacteriaceae_Dry were significantly associated with keloid. Chryseobacterium_Moist, ASV016[Enhydrobacter(unc.)]_Moist, ASV021[Micrococcus(unc.)]_Moist, ASV022[Streptococcus salivarius]_Moist, Rhodobacteraceae_Dry, Staphylococcus_Moist, Micrococcaceae_Moist, ASV007[Anaerococcus(unc.)]_Dry, Betaproteobacteria_Moist and ASV001[Propionibacterium acnes]_Moist were significantly associated with hypertrophic scarring. Reverse MR analysis indicates both keloid and hypertrophic scar regulated the composition of the skin microbiome. The study revealed a possible correlation between some specific skin microbiome and pathlogical scars. Understanding these inverse relationship could help improve clinical treatment and reducing pathological scar formation.
皮肤细菌感染可能是伤口疤痕形成的一个潜在风险因素，但这种关系的具体细节尚未完全了解。本研究通过双向孟德尔随机化（MR）调查特定皮肤微生物群与这些疾病之间的因果关系。本研究采用双向MR分析，利用全基因组关联研究（GWAS）数据来分析皮肤微生物群与病理性瘢痕之间的关联。单核苷酸多态性（SNP）在MR方法中用作工具变量（IV），包括逆方差加权（IVW）和MR Egger。IVW分析表明特定皮肤微生物群与病理性瘢痕之间存在显著关系。放线菌目_皮脂腺、变形菌门_皮脂腺、ASV072[副球菌（未分类）]_干性、ASV008[硝基还原黄杆菌]_干性、假单胞菌目_湿性、ASV001[痤疮丙酸杆菌]_湿性、莫拉克斯氏菌科_湿性、黄杆菌科_干性与瘢痕疙瘩显著相关。金黄杆菌属_湿性、ASV016[水生杆菌（未分类）]_湿性、ASV021[微球菌（未分类）]_湿性、ASV022[唾液链球菌]_湿性、红杆菌科_干性、葡萄球菌属_湿性、微球菌科_湿性、ASV007[厌氧球菌（未分类）]_干性、β-变形菌纲_湿性和ASV001[痤疮丙酸杆菌]_湿性与增生性瘢痕显著相关。反向MR分析表明瘢痕疙瘩和增生性瘢痕均调节皮肤微生物群的组成。该研究揭示了一些特定皮肤微生物群与病理性瘢痕之间可能存在的相关性。了解这些反向关系有助于改善临床治疗并减少病理性瘢痕的形成。
