Chen Jun, Toyomasu Yoshitaka, Hayashi Yujiro, Linden David R, Szurszewski Joseph H, Nelson Heidi, Farrugia Gianrico, Kashyap Purna C, Chia Nicholas, Ordog Tamas
Division of Biomedical Statistics and Bioinformatics, Department of Health Sciences Research, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
Enteric NeuroScience Program, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
Genome Med. 2016 Oct 3;8(1):103. doi: 10.1186/s13073-016-0357-1.
Nutritional interventions often fail to prevent growth failure in childhood and adolescent malnutrition and the mechanisms remain unclear. Recent studies revealed altered microbiota in malnourished children and anorexia nervosa. To facilitate mechanistic studies under physiologically relevant conditions, we established a mouse model of growth failure following chronic dietary restriction and examined microbiota in relation to age, diet, body weight, and anabolic treatment.
Four-week-old female BALB/c mice (n = 12/group) were fed ad libitum (AL) or offered limited food to abolish weight gain (LF). A subset of restricted mice was treated with an insulin-like growth factor 1 (IGF1) analog. Food access was restored in a subset of untreated LF (LF-RF) and IGF1-treated LF mice (TLF-RF) on day 97. Gut microbiota were determined on days 69, 96-99 and 120 by next generation sequencing of the V3-5 region of the 16S rRNA gene. Microbiota-host factor associations were analyzed by distance-based PERMANOVA and quantified by the coefficient of determination R for age, diet, and normalized body weight change (Δbwt). Microbial taxa on day 120 were compared following fitting with an overdispersed Poisson regression model. The machine learning algorithm Random Forests was used to predict age based on the microbiota.
On day 120, Δbwt in AL, LF, LF-RF, and TLF-RF mice was 52 ± 3, -6 ± 1*, 40 ± 3*, and 46 ± 2 % (*, P < 0.05 versus AL). Age and diet, but not Δbwt, were associated with gut microbiota composition. Age explained a larger proportion of the microbiota variability than diet or Δbwt. Random Forests predicted chronological age based on the microbiota and indicated microbiota immaturity in the LF mice before, but not after, refeeding. However, on day 120, the microbiota community structure of LF-RF mice was significantly different from that of both AL and LF mice. IGF1 mitigated the difference from the AL group. Refed groups had a higher abundance of Bacteroidetes and Proteobacteria and a lower abundance of Firmicutes than AL mice.
Persistent growth failure can be induced by 97-day dietary restriction in young female mice and is associated with microbiota changes seen in lean mice and individuals and anorexia nervosa. IGF1 facilitates recovery of body weights and microbiota.
营养干预往往无法预防儿童和青少年营养不良导致的生长发育迟缓,其机制尚不清楚。最近的研究表明,营养不良儿童和神经性厌食症患者的微生物群发生了改变。为了在生理相关条件下促进机制研究,我们建立了慢性饮食限制后生长发育迟缓的小鼠模型,并研究了微生物群与年龄、饮食、体重和合成代谢治疗的关系。
将四周龄雌性BALB/c小鼠(每组n = 12只)自由进食(AL)或给予有限食物以阻止体重增加(LF)。对一部分受限小鼠用胰岛素样生长因子1(IGF1)类似物进行治疗。在第97天,对一部分未治疗的LF(LF-RF)和IGF1治疗的LF小鼠(TLF-RF)恢复食物供应。通过对16S rRNA基因V3-5区域进行下一代测序,在第69天、96 - 99天和120天测定肠道微生物群。通过基于距离的PERMANOVA分析微生物群与宿主因子的关联,并通过年龄、饮食和标准化体重变化(Δbwt)的决定系数R进行量化。在拟合超分散泊松回归模型后,比较第120天的微生物分类群。使用机器学习算法随机森林根据微生物群预测年龄。
在第120天,AL、LF、LF-RF和TLF-RF小鼠的Δbwt分别为52±3、-6±1*、40±3和46±2%(,与AL相比,P < 0.05)。年龄和饮食与肠道微生物群组成有关,而Δbwt无关。年龄比饮食或Δbwt解释了更大比例的微生物群变异性。随机森林根据微生物群预测实际年龄,并表明LF小鼠在重新进食前微生物群不成熟,重新进食后则不然。然而,在第120天,LF-RF小鼠的微生物群落结构与AL和LF小鼠均有显著差异。IGF1减轻了与AL组的差异。重新进食组的拟杆菌门和变形菌门丰度高于AL小鼠,而厚壁菌门丰度低于AL小鼠。
97天的饮食限制可诱导年轻雌性小鼠持续生长发育迟缓,并与瘦小鼠、个体及神经性厌食症患者中观察到的微生物群变化有关。IGF1促进体重和微生物群的恢复。