請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/90331
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 盧子彬 | zh_TW |
dc.contributor.advisor | Tzu-Pin Lu | en |
dc.contributor.author | 張珊慈 | zh_TW |
dc.contributor.author | Shan-Tzu Chang | en |
dc.date.accessioned | 2023-09-26T16:18:06Z | - |
dc.date.available | 2023-11-10 | - |
dc.date.copyright | 2023-09-26 | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-07-22 | - |
dc.identifier.citation | Barcik, W., et al., The Role of Lung and Gut Microbiota in the Pathology of Asthma. Immunity, 2020. 52(2): p. 241-255.
Pascal, M., et al., Microbiome and Allergic Diseases. Front Immunol, 2018. 9: p. 1584. Davis, C.D., The Gut Microbiome and Its Role in Obesity. Nutr Today, 2016. 51(4): p. 167-174. Iatcu, C.O., A. Steen, and M. Covasa, Gut Microbiota and Complications of Type-2 Diabetes. Nutrients, 2021. 14(1). Wang, L., et al., Increased abundance of Sutterella spp. and Ruminococcus torques in feces of children with autism spectrum disorder. Mol Autism, 2013. 4(1): p. 42. Shen, Y., et al., Analysis of gut microbiota diversity and auxiliary diagnosis as a biomarker in patients with schizophrenia: A cross-sectional study. Schizophr Res, 2018. 197: p. 470-477. Human Microbiome Project, C., A framework for human microbiome research. Nature, 2012. 486(7402): p. 215-21. Human Microbiome Project, C., Structure, function and diversity of the healthy human microbiome. Nature, 2012. 486(7402): p. 207-14. Integrative, H.M.P.R.N.C., The Integrative Human Microbiome Project. Nature, 2019. 569(7758): p. 641-648. Coelho, G.D.P., et al., Acquisition of microbiota according to the type of birth: an integrative review. Rev Lat Am Enfermagem, 2021. 29: p. e3446. Dierikx, T.H., et al., The influence of prenatal and intrapartum antibiotics on intestinal microbiota colonisation in infants: A systematic review. J Infect, 2020. 81(2): p. 190-204. Wang, Z., et al., Comparing Gut Microbiome in Mothers' Own Breast Milk- and Formula-Fed Moderate-Late Preterm Infants. Front Microbiol, 2020. 11: p. 891. Tun, H.M., et al., Exposure to household furry pets influences the gut microbiota of infant at 3-4 months following various birth scenarios. Microbiome, 2017. 5(1): p. 40. Laursen, M.F., et al., Having older siblings is associated with gut microbiota development during early childhood. BMC Microbiol, 2015. 15: p. 154. Laursen, M.F., et al., First Foods and Gut Microbes. Front Microbiol, 2017. 8: p. 356. Das, B., et al., Analysis of the Gut Microbiome of Rural and Urban Healthy Indians Living in Sea Level and High Altitude Areas. Sci Rep, 2018. 8(1): p. 10104. Dwiyanto, J., et al., Ethnicity influences the gut microbiota of individuals sharing a geographical location: a cross-sectional study from a middle-income country. Sci Rep, 2021. 11(1): p. 2618. Yao, T.C., et al., Taiwan guidelines for the diagnosis and management of pediatric atopic dermatitis: Consensus statement of the Taiwan Academy of Pediatric Allergy, Asthma and Immunology. J Microbiol Immunol Infect, 2022. 55(4): p. 561-572. Silverberg, J.I., et al., Atopic dermatitis in the pediatric population: A cross-sectional, international epidemiologic study. Ann Allergy Asthma Immunol, 2021. 126(4): p. 417-428 e2. Wang, I.J., et al., Genetic and environmental predictors for pediatric atopic dermatitis. Acta Paediatr Taiwan, 2006. 47(5): p. 238-42. Dai, Y.S., Allergens in atopic dermatitis. Clin Rev Allergy Immunol, 2007. 33(3): p. 157-66. Lee, Y.L., et al., Environmental factors, parental atopy and atopic eczema in primary-school children: a cross-sectional study in Taiwan. Br J Dermatol, 2007. 157(6): p. 1217-24. Wang, I.J., et al., Environmental risk factors for early infantile atopic dermatitis. Pediatr Allergy Immunol, 2007. 18(5): p. 441-7. Peters, A.S., et al., Prediction of the incidence, recurrence, and persistence of atopic dermatitis in adolescence: a prospective cohort study. J Allergy Clin Immunol, 2010. 126(3): p. 590-5 e1-3. Villagomez, A.N., et al., Neurodevelopmental delay: Case definition & guidelines for data collection, analysis, and presentation of immunization safety data. Vaccine, 2019. 37(52): p. 7623-7641. Ho, L.P. and Y.C. Lee, Prevalence of developmental delay among children: A national study based on administrative database of the single-payer National Health Insurance System in Taiwan. Child Care Health Dev, 2022. 48(2): p. 324-335. Ferreira-Vasques, A.T. and D.A. Lamonica, Motor, linguistic, personal and social aspects of children with Down syndrome. J Appl Oral Sci, 2015. 23(4): p. 424-30. Kerstjens, J.M., et al., Developmental delay in moderately preterm-born children at school entry. J Pediatr, 2011. 159(1): p. 92-8. Do, C.H.T., et al., Neurodevelopment at 2 years corrected age among Vietnamese preterm infants. Arch Dis Child, 2020. 105(2): p. 134-140. Woythaler, M., Neurodevelopmental outcomes of the late preterm infant. Semin Fetal Neonatal Med, 2019. 24(1): p. 54-59. Hee Chung, E., J. Chou, and K.A. Brown, Neurodevelopmental outcomes of preterm infants: a recent literature review. Transl Pediatr, 2020. 9(Suppl 1): p. S3-S8. de Kieviet, J.F., et al., Motor development in very preterm and very low-birth-weight children from birth to adolescence: a meta-analysis. JAMA, 2009. 302(20): p. 2235-42. Ballot, D.E., T.F. Chirwa, and P.A. Cooper, Determinants of survival in very low birth weight neonates in a public sector hospital in Johannesburg. BMC Pediatr, 2010. 10: p. 30. Chen, P.S., et al., Developmental function of very-low-birth-weight infants and full-term infants in early childhood. J Formos Med Assoc, 2004. 103(1): p. 23-31. Negrao, M.E.A., et al., Association between tobacco and/or alcohol consumption during pregnancy and infant development: BRISA Cohort. Braz J Med Biol Res, 2020. 54(1): p. 10252-0. Johnson, J.S., et al., Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis. Nat Commun, 2019. 10(1): p. 5029. Durazzi, F., et al., Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota. Sci Rep, 2021. 11(1): p. 3030. Ranjan, R., et al., Analysis of the microbiome: Advantages of whole genome shotgun versus 16S amplicon sequencing. Biochem Biophys Res Commun, 2016. 469(4): p. 967-77. Laudadio, I., et al., Quantitative Assessment of Shotgun Metagenomics and 16S rDNA Amplicon Sequencing in the Study of Human Gut Microbiome. OMICS, 2018. 22(4): p. 248-254. Peterson, D., et al., Comparative Analysis of 16S rRNA Gene and Metagenome Sequencing in Pediatric Gut Microbiomes. Front Microbiol, 2021. 12: p. 670336. Jing, G., et al., Meta-Apo improves accuracy of 16S-amplicon-based prediction of microbiome function. BMC Genomics, 2021. 22(1): p. 9. Douglas, G.M., et al., PICRUSt2 for prediction of metagenome functions. Nat Biotechnol, 2020. 38(6): p. 685-688. Ewels, P., et al., MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics, 2016. 32(19): p. 3047-8. Bolger, A.M., M. Lohse, and B. Usadel, Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics, 2014. 30(15): p. 2114-20. McIver, L.J., et al., bioBakery: a meta'omic analysis environment. Bioinformatics, 2018. 34(7): p. 1235-1237. Beghini, F., et al., Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. Elife, 2021. 10. Oksanen, J., et al. vegan: Community Ecology Package. 2022; Available from: https://CRAN.R-project.org/package=vegan. McMurdie, P.J. and S. Holmes, phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One, 2013. 8(4): p. e61217. Lahti, L. and S. Shetty. microbiome R package. 2012-2019; Available from: http://microbiome.github.com/microbiome. Segata, N., et al., Metagenomic biomarker discovery and explanation. Genome Biol, 2011. 12(6): p. R60. Thirion, F., et al., Changes in Gut Microbiota of Patients with Atopic Dermatitis During Balneotherapy. Clin Cosmet Investig Dermatol, 2022. 15: p. 163-176. Watts, A.M., et al., The Gut Microbiome of Adults with Allergic Rhinitis Is Characterised by Reduced Diversity and an Altered Abundance of Key Microbial Taxa Compared to Controls. Int Arch Allergy Immunol, 2021. 182(2): p. 94-105. Bowerman, K.L., et al., Disease-associated gut microbiome and metabolome changes in patients with chronic obstructive pulmonary disease. Nat Commun, 2020. 11(1): p. 5886. Park, Y.M., et al., Imbalance of Gut Streptococcus, Clostridium, and Akkermansia Determines the Natural Course of Atopic Dermatitis in Infant. Allergy Asthma Immunol Res, 2020. 12(2): p. 322-337. Zheng, H., et al., Altered Gut Microbiota Composition Associated with Eczema in Infants. PLoS One, 2016. 11(11): p. e0166026. Laue, H.E., et al., Prospective associations of the infant gut microbiome and microbial function with social behaviors related to autism at age 3 years. Sci Rep, 2020. 10(1): p. 15515. Ye, F., et al., Comparison of gut microbiota in autism spectrum disorders and neurotypical boys in China: A case-control study. Synth Syst Biotechnol, 2021. 6(2): p. 120-126. Wang, N., et al., Composition of the Gut Microbiota in Attention Deficit Hyperactivity Disorder: A Systematic Review and Meta-Analysis. Front Endocrinol (Lausanne), 2022. 13: p. 838941. Hou, X., et al., Profiling Blautia at high taxonomic resolution reveals correlations with cognitive dysfunction in Chinese children with Down syndrome. Front Cell Infect Microbiol, 2023. 13: p. 1109889. Vernocchi, P., et al., Gut Microbiota Ecology and Inferred Functions in Children With ASD Compared to Neurotypical Subjects. Front Microbiol, 2022. 13: p. 871086. Finegold, S.M., et al., Pyrosequencing study of fecal microflora of autistic and control children. Anaerobe, 2010. 16(4): p. 444-53. Sordillo, J.E., et al., Association of the Infant Gut Microbiome With Early Childhood Neurodevelopmental Outcomes: An Ancillary Study to the VDAART Randomized Clinical Trial. JAMA Netw Open, 2019. 2(3): p. e190905. Hossain, K.S., S. Amarasena, and S. Mayengbam, B Vitamins and Their Roles in Gut Health. Microorganisms, 2022. 10(6). Petersen, C., et al., A rich meconium metabolome in human infants is associated with early-life gut microbiota composition and reduced allergic sensitization. Cell Rep Med, 2021. 2(5): p. 100260. Tanaka, K., [Brain development and glutamate]. Brain Nerve, 2013. 65(10): p. 1121-32. Cain, J.P., G.H. Williams, and R.G. Dluhy, Glucagon-initiated human growth hormone release: a comparative study. Can Med Assoc J, 1972. 107(7): p. 617-22. | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/90331 | - |
dc.description.abstract | 研究背景:
近年來愈來愈多研究發現嬰幼兒的腸道菌相與他們的健康息息相關。新生兒和嬰兒時期是腸道菌發展的重要時期,此階段的變化可能會影響以後甚至是成人的健康。所以進一步瞭解生命早期的腸道菌群是如何影響我們的發育,有機會找到預防疾病的新療法。因此,本研究的目的為比較足月兒、早產兒、異位性皮膚炎(過敏兒)和發育遲緩兒之間的腸道菌相組成與差異,並且探討腸道菌對兒童疾病的影響。 研究方法: 研究個案來自台大醫院小兒部,於2021年6月開始收樣。在嬰兒大約6個月大時採集尿布上的糞便,接著萃取DNA並進行散彈槍總體基因體定序與進行相對豐富度分析,而後將327名嬰兒腸道菌相結果依據醫師臨床診斷結果,分為過敏兒、早產兒、發育遲緩兒和足月兒等四個組別,透過評估組內和組間的菌種多樣性,計算菌種相對豐富度來了解各組別的菌相分布,和使用線性判別分析效應量(LEfSe)尋找足月兒與其他兩組(過敏兒、遲緩兒)之間具有顯著差異豐度的物種,最後進行功能分析推斷腸道菌的潛在功能。 研究結果: 早產兒的alpha和beta多樣性顯著高於其餘三組,且在門和種的分類層級上相對豐度圖顯示過敏兒、發育遲緩兒和足月兒在六個月大時的腸道菌群組成相似。本研究發現相較足月兒,Ruminococcus gnavus等菌在發育遲緩兒有較高的相對豐富度,而Akkermansia muciniphila等菌則在過敏兒中有較高的相對豐富度。透過功能分析發現腸道菌的潛在功能,在過敏兒和足月兒、以及發育遲緩兒和足月兒之間存在差異。足月兒在參與五個與輔因子和維生素代謝以及四個氨基酸代謝相關的基因豐度皆較過敏兒高,而發育遲緩兒相較於足月兒,其與麩胺酸神經元、GABA神經傳導物質和升糖素傳導途徑相關的功能基因豐度較低。 結論: 在臺灣嬰兒族群中,過敏兒、發育遲緩兒與足月兒在六個月大時的腸道菌相組成很相似。在不同組別間,特定菌種的相對豐富度存在顯著差異,根據LEfSe的結果所發現之特定的菌種,可能具有潛力成為檢測異位性皮膚炎的生物標記。此外,在本研究中也觀察到不同組別之間在生物功能豐度上呈現顯著差異,這些發現都暗示了腸道菌相可能在兒童疾病發生中扮演相關的角色,且這些不同之處可以做為未來兒童疾病研究的重要標的。 | zh_TW |
dc.description.abstract | Background:
It is well-known that the gut microbiota is associated with the health status of infants. The newborn and infant stages are important periods for the development of the intestinal flora, and alterations during this time can impact their future health, even into adulthood. Understanding how gut microbiota affects the development of the human body and mental health may potentially provide new insights into pathogenic mechanisms and uncover therapeutic targets. Therefore, this study aims to investigate gut microbiota profiles and composition among term, preterm, atopic dermatitis (allergic), and developmentally delayed infants in comparison. Additionally, the effects of gut microbiota on the development of pediatric diseases were explored. Materials and Methods: Participants were started enrolled in June, 2021 from the Department of Pediatrics at the National Taiwan University Hospital. Stool specimens were collected when infants were approximately six months old, and whole genome sequences of the extracted DNA from fecal samples were obtained using shotgun metagenomic sequencing for relative abundance analysis. Then, the 327 samples were divided into four groups based on clinical information. We investigated the composition of gut microbiota among groups by assessing the diversity within a sample, estimating the diversity between the samples, and calculating the relative abundance of taxa. Moreover, linear discriminant analysis effect size (LEfSe) was performed to identify taxa with significant differences between the term group and the other two groups (allergy and retardation). Finally, functional analysis was conducted to explore the potential functions of gut microbiota. Results: The alpha and beta diversity values of the preterm infants were significantly higher than those obtained from the other three groups. The relative abundance plot at the phylum and species level showed that the composition of the gut microbiota in the allergic, retardation, and term groups was similar at six months old. In this study, we found that the bacterium of Ruminococcus gnavus was enriched in the retarded infants, whereas the bacterium of Akkermansia muciniphila was enriched in the infants with atopic dermatitis. Furthermore, the analysis of microbial functional genes used to investigate the potential function of taxa showed differences between allergic and term infants, as well as between retarded and term infants. Specially, we found that 5 cofactors and vitamins genes and 4 amino acid metabolism genes were higher in term infants compared to those in allergic infants. Moreover, we also observed a significantly lower abundance of genes related to glutamatergic synapse, GABAergic synapse, and glucagon signaling pathway in the retarded infants in comparison to that in the term infants. Conclusion: Our study revealed that allergic, retarded, and term infants in Taiwan at about six months old exhibited similar gut microbiota profiles. However, there were significant differences in the relative abundance of specific taxa between the allergy and term group, as well as the retardation and term group. Notably, the taxa identified by LEfSe may serve as potential biomarkers for identifying atopic dermatitis. Furthermore, we also found that the abundance of microbial functional genes was different between the groups. These differences in gut microbiota may reveal that they play an important role in pediatric disease and have a potential contribution to the development of pediatric diseases. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-09-26T16:18:06Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2023-09-26T16:18:06Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 中文摘要 ii
Abstract iii List of Figure vii List of Table ix Chapter 1. Introduction 1 1.1 Human Gut Microbiota 1 1.2 Human Microbiome Project 1 1.4 Pediatric diseases 3 1.4.1 Atopic dermatitis 3 1.4.2 Neurodevelopmental delay 4 1.5 Study Aims 4 Chapter 2. Materials and Methods 6 2.1 Sample collection 6 2.2 Metagenomic Techniques 7 2.3 Bioinformatics Methods 8 2.3.1 Data Preprocessing 8 2.3.2 Taxonomic Profile 8 2.3.3 Functional Profile 9 2.4 Diversity Measurement 9 2.5 Statistical Analysis 10 Chapter 3. Results 13 3.1 Participants 13 3.2 Alpha and Beta Diversity 13 3.3 Gut Microbiota Composition 14 3.4 Differential Abundance Taxa 15 3.4.1 Allergy vs. Term 15 3.4.2 Retardation vs. Term 16 3.5 Functional Profile 17 3.5.1 Allergy vs. Term 17 3.5.2 Retardation vs. Term 18 Chapter 4. Discussion 19 4.1 The alpha diversity of preterm infants 19 4.2 Validation with Previous Studies 19 4.3 Strengths 22 4.4 Limitations 23 Chapter 5. Conclusion 24 Chapter 6. Figure Legend 25 Chapter 7. References 29 Chapter 8. Appendix 34 | - |
dc.language.iso | en | - |
dc.title | 探索臺灣嬰幼兒腸道菌相與疾病之關聯性 | zh_TW |
dc.title | Explore the associations between gut microbiota and the pediatric diseases of infants in Taiwan | en |
dc.type | Thesis | - |
dc.date.schoolyear | 111-2 | - |
dc.description.degree | 碩士 | - |
dc.contributor.coadvisor | 李建樂 | zh_TW |
dc.contributor.coadvisor | Chien-Yueh Lee | en |
dc.contributor.oralexamcommittee | 蕭自宏;曹伯年;范怡琴 | zh_TW |
dc.contributor.oralexamcommittee | Tzu-Hung Hsiao;Po-Nien Tsao;Yi-Chin Fan | en |
dc.subject.keyword | 腸道菌,散彈槍總體基因體定序,多樣性,線性判別分析效應量,MetaPhlAn, | zh_TW |
dc.subject.keyword | gut microbiota,shotgun metagenomic sequencing,diversity,LEfSe,MetaPhlAn, | en |
dc.relation.page | 74 | - |
dc.identifier.doi | 10.6342/NTU202301903 | - |
dc.rights.note | 同意授權(限校園內公開) | - |
dc.date.accepted | 2023-07-24 | - |
dc.contributor.author-college | 公共衛生學院 | - |
dc.contributor.author-dept | 流行病學與預防醫學研究所 | - |
dc.date.embargo-lift | 2025-09-01 | - |
顯示於系所單位: | 流行病學與預防醫學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-111-2.pdf 目前未授權公開取用 | 4.37 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。