Li Dongfang, Li Yinhu, Dai Wenkui, Wang Huihui, Qiu Chuangzhao, Feng Su, Zhou Qian, Wang Wenjian, Feng Xin, Yao Kaihu, Liu Yanhong, Yang Yonghong, Yang Zhenyu, Xu Ximing, Li Shuaicheng, Wei Jurong, Zhou Ke
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
Department of Microbial Research, WeHealthGene Institute, Shenzhen, China.
Front Microbiol. 2019 Nov 29;10:2635. doi: 10.3389/fmicb.2019.02635. eCollection 2019.
Undernutrition (UN) is a worldwide concern affecting morbidity and mortality among children, but the safety and long-term efficacy of its current treatments remain controversial. Recent evidence showing the roles of the gut microbiome (GM) in nutrient absorption indicates its usefulness in alternative interventions to treat UN safely with sustainable amelioration. To enhance our understanding of the GM and childhood undernutrition, we deep sequenced the gut metagenomes of 65 children with moderate or severe undernutrition (UN group) and 61 healthy children (HC group) to identify associated taxa and genes using a two-stage validation scheme. At stage I, 54 UN patients and 51 healthy children were enrolled for the discovery of GM markers in UN children. The accuracy of the markers was then tested in an additional 11 UN patients and 10 healthy children at stage II. Compared to the HC group, the UN group had lower richness in microbial genes ( = 0.005, FDR = 0.005) and species ( = 0.002, FDR = 0.002). The distributions of bacterial genes enable the identification of 16 gene markers with which to discriminate UN patients with high accuracy [averaged areas under the receiver operating curve (AUC) = 0.87], including three genes that are responsible for the synthesis of iron transporters. We also identified four species markers that enable the UN patients to be confidently discriminated from the HC children (averaged AUC = 0.91), namely , , , and . In addition, metabolic comparison showed significantly decreased isobutyric acid ( = 0.005, FDR = 0.017) and increased isovaleric acid ( = 0.006, FDR = 0.017) in UN patients. We also identified notable correlations between microbial species and short-chain fatty acids (SCFAs) and several nutritional indicators, including acetic acid and iron ( = 0.436, = 0.029), butyric acid and iron ( = 0.422, = 0.036), butyric acid and lymphocyte ( = -0.309, = 0.011), and acetic acid and total protein ( = -0.303, = 0.043). Taken together, the distinct features of gut microbiota in UN patients highlight the taxonomic and functional shift during the development of UN and provide a solid theoretical basis for intervention in childhood undernutrition through gut microbes.
营养不良是一个全球性问题,影响着儿童的发病率和死亡率,但其现有治疗方法的安全性和长期疗效仍存在争议。最近有证据表明肠道微生物群(GM)在营养吸收中发挥作用,这表明其在替代干预措施中具有实用性,可安全地治疗营养不良并实现可持续改善。为了加深我们对GM与儿童营养不良的理解,我们对65名中度或重度营养不良儿童(营养不良组)和61名健康儿童(健康对照组)的肠道宏基因组进行了深度测序,采用两阶段验证方案来识别相关的分类群和基因。在第一阶段,纳入了54名营养不良患者和51名健康儿童,以发现营养不良儿童的GM标志物。然后在第二阶段,对另外11名营养不良患者和10名健康儿童进行标志物准确性测试。与健康对照组相比,营养不良组的微生物基因丰富度较低(P = 0.005,FDR = 0.005),物种丰富度也较低(P = 0.002,FDR = 0.002)。细菌基因的分布能够识别出16个基因标志物,可高精度地区分营养不良患者[平均受试者工作特征曲线下面积(AUC)= 0.87],其中包括三个负责铁转运蛋白合成的基因。我们还鉴定出四个物种标志物,能够可靠地区分营养不良患者与健康对照组儿童(平均AUC = 0.91),即、、和。此外,代谢比较显示,营养不良患者的异丁酸显著降低(P = 0.005,FDR = 0.017),异戊酸增加(P = 0.006,FDR = 0.017)。我们还发现微生物物种与短链脂肪酸(SCFAs)以及几种营养指标之间存在显著相关性,包括乙酸与铁(r = 0.436,P = 0.029)、丁酸与铁(r = 0.422,P = 0.036)、丁酸与淋巴细胞(r = -0.309,P = 0.011)以及乙酸与总蛋白(r = -0.303,P = 0.043)。综上所述,营养不良患者肠道微生物群的独特特征突出了营养不良发展过程中的分类学和功能转变,并为通过肠道微生物干预儿童营养不良提供了坚实的理论基础。