目的 使用两样本孟德尔随机化方法探索肠道菌群及其代谢通路与矮身材的因果关系。方法 使用荷兰微生物组计划(DMP)和FINRISK 2002(FR02)的肠道菌群全基因关联分析(GWAS)汇总数据和来自于GIANT Consortium的身高遗传信息数据。采用逆方差加权法(IVW)、MR Egger回归、加权中位数(WME)、Simple mode、Weighted mode研究肠道菌群及代谢通路与矮身材之间的因果关系,其中以IVW法为主。结合敏感性分析、异质性检验、基因多效性检验和异常值检验等方法来验证结果的稳定性和可靠性。结果 IVW结果显示有5种肠道微生物、3条代谢通路与矮身材存在因果关系,其中,Bacillales (OR=1.24,95%CI: 1.11~1.38,PFDR =0.007) 、GCA-900066755(OR=1.06,95%CI: 1.03~1.09,PFDR <0.001) 、“丙酮酸发酵为乙酸盐和乳酸II” (OR=1.04,95%CI: 1.02~1.06,PFDR <0.001)、“尿酸盐生物合成/肌苷5'-磷酸降解” (OR=1.05,95%CI: 1.02~1.08,PFDR =0.042)与身高呈正相关。Clostridium E sporosphaeroides (OR=0.93,95%CI: 0.89~0.97,PFDR =0.023) 、Escherichia flexneri (OR=0.96,95%CI: 0.94~0.98,PFDR <0.001)、GCA-900199385 sp900320755(OR=0.88,95%CI: 0.84~0.93,PFDR <0.001)、“来自谷氨酸的血红素B生物合成”(OR=0.97,95%CI: 0.96~0.98,PFDR<0.001)与身高呈负相关,未发现 IVs 存在基因多效性或显著异质性。结论 肠道菌群及相关代谢通路与矮身材之间存在明确的因果关系,其具体生物学机制有待进一步研究,相关靶点可为后续研究提供参考。
Abstract
Objective To explore the causal correlation of gut microbiota and their metabolic pathways with short stature using a two-sample Mendelian randomization (MR) approach. Methods Genome-wide association study (GWAS) summary data on gut microbiota from the Dutch Microbiome Project (DMP) and FINRISK 2002 (FR02), as well as genetic data on height from the GIANT Consortium, were utilized. The inverse variance weighted (IVW) method, MR Egger regression, weighted median (WME), simple mode, and weighted mode were employed to investigate the causal relationship between gut microbiota, metabolic pathways, and short stature, with the IVW method serving as the primary approach. Sensitivity analysis, heterogeneity testing, pleiotropy testing, and outlier detection were conducted to validate the stability and reliability of the results. Results The IVW results indicated a causal relationship between five gut microbial taxa, three metabolic pathways, and short stature. Specifically, Bacillales (OR=1.24, 95%CI: 1.11 - 1.38, PFDR=0.007), GCA-900066755 (OR=1.06, 95%CI: 1.03 - 1.09, PFDR<0.001), "pyruvate fermentation to acetate and lactate II" (OR=1.04, 95%CI: 1.02 - 1.06, PFDR<0.001), and "urate biosynthesis/inosine 5'-phosphate degradation" (OR=1.05, 95%CI: 1.02 - 1.08, PFDR=0.042) were positively associated with height. Conversely, Clostridium E sporosphaeroides (OR=0.93, 95%CI: 0.89 - 0.97, PFDR=0.023), Escherichia flexneri (OR=0.88, 95%CI: 0.84 - 0.93, PFDR<0.001), GCA-900199385 sp900320755 (OR=0.96, 95%CI: 0.94 - 0.98, PFDR<0.001), and "heme B biosynthesis from glutamate" (OR=0.97, 95%CI: 0.96 - 0.98, PFDR<0.001) were negatively associated with height. No significant pleiotropy or heterogeneity was detected among the instrumental variables (IVs). Conclusions There is a clear causal relationship between gut microbiota, related metabolic pathways, and short stature. The specific biological mechanisms require further investigation, and the identified targets may provide valuable insights for future research.
关键词
肠道菌群 /
矮身材 /
孟德尔随机化
Key words
gut microbiota /
short stature /
mendelian randomization
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 中华医学会儿科学分会内分泌遗传代谢学组. 矮身材儿童诊治指南[J]. 中华儿科杂志, 2008,46(6): 428-430.
The Subspecialty Group of Endocrinologic HAMD. Guidelines for diagnosis and treatment of children with short stature[J]. Chin J Pediatr, 2008,46(6): 428-430.(in Chinese)
[2] Ma J, Pei T, Dong F, et al. Spatial and demographic disparities in short stature among school children aged 7-18 years: A nation-wide survey in China, 2014[J]. BMJ Open, 2019,9(7): e026634.
[3] Bourgeois B, Watts K, Thomas DM, et al. Associations between height and blood pressure in the United States population[J]. Medicine, 2017,96(50): e9233.
[4] Oh N, Song Y, Kim S, et al. Short stature is associated with increased risk of dyslipidemia in Korean adolescents and adults[J]. Sci Rep, 2019,9(1).
[5] Vangipurapu J, Stancakova A, Jauhiainen R, et al. Short adult stature predicts impaired beta-cell function, insulin resistance, glycemia, and type 2 diabetes in finnish men[J]. J Clin Endocrinol Metab, 2017,102(2): 443-450.
[6] Freer J, Orr J, Morris JK, et al. Short stature and language development in the United Kingdom: A longitudinal analysis of children from the Millennium Cohort Study[J]. BMC Medicine, 2022,20(1).
[7] Derraik JGB, Lundgren M, Cutfield W S, et al. Maternal height and preterm birth: A Study on 192,432 Swedish Women[J]. PLoS ONE, 2016,11(4): e0154304.
[8] Rooks MG, Garrett WS. Gut microbiota, metabolites and host immunity[J]. Nature Reviews Immunology, 2016,16(6): 341-352. [9] Li L, Wang Y, Huang Y, et al. Impact of different growth hormone levels on gut microbiota and metabolism in short stature.[J]. Pediatr Res, 2024,96(1): 115-123.
[10] Schwarzer M, Makki K, Storelli G, et al. Lactobacillus plantarum strain maintains growth of infant mice during chronic undernutrition[J]. Science, 2016(351): 854-857.
[11] Durda-Masny M, Ciomborowska-Basheer J, Makałowska I, et al. The mediating role of the gut microbiota in the physical growth of children[J]. Life, 2022,12(2): 152.
[12] Csco生物统计学专家委员会rws方法学组. 孟德尔随机化模型及其规范化应用的统计学共识[J]. 中国卫生统计, 2021,38(3): 471-475, 480.
Group CBEC. Statistical consensus on Mendelian randomization models and their standardized applications[J]. Chinese Journal of Health Statistics, 2021,38(3): 471-475, 480.(in Chinese)
[13] Li Y, Wang X, Zhang Z, et al. Effect of the gut microbiome, plasma metabolome, peripheral cells, and inflammatory cytokines on obesity: A bidirectional two-sample Mendelian randomization study and mediation analysis.[J]. Front Immunol, 2024,15: 1348347.
[14] Liu T, Cao Y, Liang N, et al. Investigating the causal association between gut microbiota and type 2 diabetes: A meta-analysis and Mendelian randomization.[J]. Front Public Health, 2024,12: 1342313.
[15] Lopera-Maya EA, Kurilshikov A, van der Graaf A, et al. Effect of host genetics on the gut microbiome in 7 738 participants of the Dutch Microbiome Project[J]. Nature genetics, 2022,54(2): 143-151.
[16] Qin Y, Havulinna AS, Liu Y, et al. Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort[J]. Nature genetics, 2022,54(2): 134-142.
[17] Yengo L, Vedantam S, Marouli E, et al. A saturated map of common genetic variants associated with human height[J]. Nature, 2022,610(7933): 704-712.
[18] Speed MS, Jefsen OH, Børglum AD, et al. Investigating the association between body fat and depression via Mendelian randomization[J]. Transl Psychiatry, 2019,9(1): 184.
[19] Hagenaars SP, Gale CR, Deary IJ, et al. Cognitive ability and physical health: A Mendelian randomization study[J]. Sci Rep, 2017,7(1): 2651.
[20] Smith GD, Ebrahim S. 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?[J]. Int J Epid, 2003,32(1): 1-22.
[21] Xu R, Zhu H, Zhang C, et al. Metabolomic analysis reveals metabolic characteristics of children with short stature caused by growth hormone deficiency[J]. Clin Sci, 2019,133(6): 777-788.
[22] Kim S, Park M. Effects of growth hormone on glucose metabolism and insulin resistance in human.[J]. Ann Pediatr Endocrinol Metab, 2017,22(3): 145-152.
[23] Netchine I, van der Steen M, López-Bermejo A, et al. New horizons in short children born small for gestational age[J]. Front Pediatr, 2021,9: 655931.
[24] Akagawa S, Kaneko K. Gut microbiota and allergic diseases in children[J]. Allergol Int, 2022,71(3): 301-309.
基金
山东省中医药科技发展计划项目(2019-0227)