■唾液微生物群的多样性和组成的变化与体重状况有关,但是调查结果并不一致。专注于临床相关的条件,如中心性肥胖和使用先进的测序技术可能会填补知识的空白。
■我们采用浅层宏基因组测序法研究了有(n=14)和无(n=36)中心性肥胖儿童的唾液微生物群。此外,我们研究了习惯性食物消费对微生物酶谱的作用。
■数据包括50名儿童(50%为男性),平均年龄为14.2(SD0.3)岁,从芬兰青少年健康(Fin-HIT)队列中选择。甜食(STI)消费频率的饮食评分,乳制品(DCI)和植物(PCI)是基于自编食物频率问卷得出的.中心性肥胖是根据腰高比使用临界值0.5定义的。唾液样本进行了全基因组鸟枪测序,利用METAnnotatorX2生物信息学平台实现了分类学和功能分析。
■组的腰围平均相差20(95%CI14-27)cm。我们确定了假单胞菌的缺乏,oulorum和oris作为与中心性肥胖相关的推定生物标志物,观察到两组之间共有16种酶促反应不同。DCI与最高数量的酶谱(122)相关,其次是STI(60)和DCI(25)(皮尔逊相关p<0.05)。有趣的是,STI显示出高的正/负相关比(5.09),而DCI和PCI显示低比率(分别为0.54和0.33)。因此,酶促反应的主要驱动因素是STI,以及相关途径涉及副流感嗜血杆菌和Veilonella等诱导的硝酸盐代谢。
■中心性肥胖的临床相关差异仅适度反映在唾液微生物群的组成上。习惯食用甜食是有和没有中心性肥胖的儿童唾液微生物区系的酶促反应的重要决定因素。这些发现的临床相关性值得进一步研究。
UNASSIGNED: Variation in diversity and composition of saliva microbiota has been linked to weight status, but findings have been inconsistent. Focusing on clinically relevant conditions such as central obesity and using advanced sequencing techniques might fill in the gaps of knowledge.
UNASSIGNED: We investigated saliva microbiota with shallow metagenome sequencing in children with (n = 14) and without (n = 36) central obesity. Additionally, we examined the role of habitual food consumption on microbial enzymatic repertoire.
UNASSIGNED: Data comprised 50 children (50% male) with a mean age of 14.2 (SD 0.3) years, selected from the Finnish Health in Teens (Fin-HIT) cohort. Dietary scores for consumption frequency of sweet treats (STI), dairy products (DCI) and plants (PCI) were derived based on a self-administered food frequency questionnaire. Central obesity was defined based on waist-height ratio using the cut-off 0.5. Saliva samples were subjected to whole-metagenome shotgun sequencing, and taxonomic and functional profiling was achieved with METAnnotatorX2 bioinformatics platform.
UNASSIGNED: Groups had an average 20 (95% CI 14-27) cm difference in waist circumference. We identified the lack of Pseudomonas guguagenesis and Prevotella scopos, oulorum and oris as putative biomarkers associated with central obesity and observed a total of 16 enzymatic reactions differing between the groups. DCI was associated with the highest number of enzyme profiles (122), followed by STI (60) and DCI (25) (Pearson correlation p < 0.05). Intriguingly, STI showed a high positive/negative correlation ratio (5.09), while DCI and PCI showed low ratios (0.54 and 0.33, respectively). Thus, the main driver of enzymatic reactions was STI, and the related pathways involved nitrate metabolism induced by Haemophilus parainfluenzae and Veilonella dispar among others.
UNASSIGNED: Clinically relevant differences in central obesity were only modestly reflected in the composition of saliva microbiota. Habitual consumption of sweet treats was a strong determinant of enzymatic reactions of saliva microbiota in children with and without central obesity. The clinical relevance of these findings warrants further studies.