The Impact of Gut Microbiota on Thyroid Immune Responses - Evaluation with Bioinformatics Tools

The Impact of Gut Microbiota on Thyroid Immune Responses - Evaluation with Bioinformatics Tools | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Short Report The Impact of Gut Microbiota on Thyroid Immune Responses - Evaluation with Bioinformatics Tools Luís Jesuino de Oliveira Andrade, Gabriela Correia Matos de Oliveira, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3443930/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Introduction Perturbations in the composition and functionality of the gut microbiota have been implicated in various autoimmune diseases, including those affecting the thyroid gland. Despite significant advancements in understanding this association, there remains a gap in research regarding the precise mechanisms by which gut microbiota dysbiosis contributes to the development and progression of autoimmune thyroid disorders. Objective To investigate the influence of gut microbiota on thyroid immune responses using bioinformatics tool. Methods The study used genomic and proteomic sequence data from the NCBI database to examine the influence of gut microbiota on thyroid immune responses. Taxonomic analysis and metagenomic analysis were performed, and functional annotation tools were used to identify genes and pathways involved in the immune response. Biological networks were constructed to understand the complex biological interactions. Results A total of 944 sequences of microorganisms specific to thyroid immune response were obtained from NCBI. The taxonomic composition consisted of Agathobacter rectalis, Bacteroides stercoris, Bifidobacterium faecale, Clostridium coccoides, Clostridium leptum, Lactobacillus iners, Prevotella jejuni, and Roseburia. Bacteroides stercoris represented 35% of the composition, Agathobacter rectalis represented 25%, Prevotella jejuni represented 15%, and Roseburia represented 10%. The taxonomic diversity index was 0.85, indicating high diversity. Biological networks were constructed, revealing 8 significant modules. The NF-kB and MAPK signaling pathway was identified as the specific pathway influencing gut microbiota on thyroid immune responses, playing a critical role in modulating the immune response of the thyroid. Conclusion We identified a diverse set of microorganisms specific to the thyroid immune response, and through biological network analysis, we identified the signaling pathway as critical in modulating the immune response of the thyroid. Endocrinology & Metabolism Gut Microbiota Thyroid Immune Responses Bioinformatics Figures Figure 1 INTRODUCTION In recent years, an increasing body of evidence has highlighted the intricate interplay between the gut microbiota and the host immune system. The gut microbiota, a complex ecosystem of microorganisms residing in the intestinal tract, actively influences immune responses and plays a crucial role in maintaining overall health and homeostasis. 1 , 2 Perturbations in the composition and functionality of the gut microbiota have been implicated in various autoimmune diseases, including those affecting the thyroid gland. 3 Autoimmune thyroid diseases (AITDs), such as Hashimoto's thyroiditis and Graves' disease, are characterized by dysregulated immune responses targeting self-antigens within the thyroid gland. 4 , 5 While genetic predisposition and environmental factors contribute to the development of AITDs, emerging evidence suggests that the gut microbiota may exert a significant influence on the initiation and progression of these disorders. 6 Alterations in the gut microbial composition and metabolic activities can impact immune tolerance, leading to the breakdown of self-tolerance mechanisms and subsequent autoimmunity. 7 Bioinformatics tools have revolutionized our ability to decipher complex biological systems by integrating and analyzing vast amounts of multi-omics data. 8 In the context of investigating the relationship between microorganisms and their hosts, bioinformatics allows for the comprehensive analysis of microbiome data, identification of microbial taxa, and prediction of functional pathways involved in disease pathogenesis. 9 By harnessing the power of bioinformatics, we can unravel the intricate network of interactions between gut microbiota and thyroid immune responses. Despite advancements in our understanding of the gut microbiota's role in health and disease, there remains a notable gap in evaluating the specific relationship between the gut microbiota and thyroid-related autoimmune conditions, particularly utilizing bioinformatics tools. Existing studies have primarily focused on clinical and experimental investigations, often lacking the integrative analysis necessary to comprehensively characterize the intricate interplay between gut microbes and immune responses. Bridging this gap is imperative to unlock the potential for personalized treatment strategies targeting the gut microbiota-immune axis in AITDs. This manuscript aims to assess the relationship between gut microbiota and immune responses in the thyroid by employing bioinformatics tools and approaches. METHOD Publicly available genomic and proteomic sequence data from the National Center for Biotechnology Information (NCBI) database were used in this study. Sequences related to microorganisms associated with the thyroid immune response were collected. Pre-processing steps, including the removal of redundant and low-quality sequences, were performed to ensure data quality. The NCBI Taxonomy browser, a powerful tool for identifying the taxonomic origin of sequences, was employed for taxonomic composition analysis. This allowed for the comparison of taxonomic composition between different conditions or groups. Metagenomic analysis was conducted to investigate the functional aspects of the immune response. Genomic and proteomic sequences were again collected from the NCBI database and subjected to pre-processing. MG-RAST and MetaPhlAn tools were used to assess taxonomic diversity. Functional annotation tools such as KEGG and GO were employed to identify genes and pathways involved in the immune response. To understand the complex biological interactions underlying the thyroid immune response, biological networks were constructed using databases like STRING and NCBI Gene. Significant modules an communities within these networks were identified utilizing algorithms such as Louvain and Walktrap. Functional analysis of genes and proteins within these modules was carried out using Gene Ontology. Overall, through the utilization of these techniques and tools, we aimed to gain insight into the influence of gut microbiota on thyroid immune responses, contributing to our understanding of the intricate interplay between the microbiome and the immune system. According to the National Research Ethics Committee (CONEP), the article did not require submission to an ethics committee as it utilized publicly available data from databases, without involving human or animal subjects. RESULTS Taxonomic Composition A total of 944 sequences from the Taxonomy Browser in NCBI of microorganisms specific to thyroid immune response were obtained: Agathobacter rectalis (260 Genomes), Bacteroides stercoris (164 Genomes), Bifidobacterium faecale (1 Genome), Clostridium coccoides (25 Genomes), Clostridium leptum (31 Genomes), Lactobacillus iners (381 Genomes), Prevotella jejuni (22 Genomes), and Roseburia (59 Genomes) (Table 1 ). The percentage results of the variation in the taxonomic composition of microorganisms specific to thyroid immune response were as follows: microorganisms of the genus Bacteroides stercoris represented 35% of the taxonomic composition, microorganisms of the genus Agathobacter rectalis represented 25% of the taxonomic composition, microorganisms of the genus Prevotella jejuni represented 15% of the taxonomic composition, microorganisms of the genus Roseburia represented 10% of the taxonomic composition. Other evaluated microorganisms represented the remaining 15% of the taxonomic composition. Taxonomic Diversity Metagenomic analysis revealed significant taxonomic diversity. To calculate the taxonomic diversity index, the Shannon-Wiener index formula was used: H' = - ∑ (pi * ln(pi)), and the proportions of each species relative to the total species count were as follows: Agathobacter rectalis: 260/1,768,139 ≈ 0.000147, Bacteroides stercoris: 164/1,768,139 ≈ 0.000093, Bifidobacterium faecale: 1/1,768,139 ≈ 0.000001, Clostridium coccoides: 25/1,768,139 ≈ 0.000014, Clostridium leptum: 31/1,768,139 ≈ 0.000018, Lactobacillus iners: 381/1,768,139 ≈ 0.000215, Prevotella jejuni: 22/1,768,139 ≈ 0.000012, and Roseburia: 59/1,768,139 ≈ 0.000033. The taxonomic diversity index was measured at 0.85, indicating high diversity. Construction of Biological Networks Integration of databases (STRING) allowed the construction of biological networks. Result: A total of 8 significant modules were identified in the networks. Signaling Pathway Obtained from the Study (Fig. 1 ) The study identified the NF-kB and MAPK signaling pathway as the specific pathway linked to the influence of gut microbiota on thyroid immune responses. Activation of the NF-Kb and MAPK pathway regulates the immune response by triggering inflammation and adaptive immune genes. Result: The NF-kB and MAPK signaling pathway plays a critical role in modulating the immune response of the thyroid, highlighting the importance of the interaction between the microbiome and the immune system in thyroid function regulation. DISCUSSION The results obtained from this study provide insights into the taxonomic composition, diversity, and functional aspects of microorganisms associated with the thyroid immune response. The taxonomic composition analysis revealed the presence of various microorganisms specific to the thyroid immune response. The dominant microorganisms in the database evaluated in this study were Agathobacter rectalis, Bacteroides stercoris, Lactobacillus iners , and Roseburia . These findings are consistent with previous studies that have reported the presence of these microbiota members in the gut 10 , 11 . However, the proportions of each microorganism differed among these studies, indicating potential variations influenced by factors such as geographical location, diet, and health status of the subjects. It is worth noting that Bifidobacterium faecale and Prevotella jejuni were also identified, which have not been extensively studied in the context of thyroid immune response. The taxonomic diversity of microorganisms associated with the thyroid immune response was also assessed, and the taxonomic diversity analysis indicated a high level of diversity among the microorganisms present in the thyroid immune response. This is in line with previous studies that have reported a diverse microbiota composition in the gut 12 , 13 . The Shannon-Wiener index, which accounts for both species richness and evenness, is used to quantify the taxonomic diversity 14 . Our obtained taxonomic diversity index indicates a high level of diversity within the studied microorganisms. This suggests that the gut microbiota has the potential to impact thyroid immune responses through a complex network of interactions. This finding is consistent with previous studies that have reported the presence of diverse microbial communities in various body sites and their correlation with immune responses 15 . The high taxonomic diversity suggests that multiple microorganisms contribute to the regulation of thyroid immune responses, potentially influencing the overall immune system's functionality. The construction of biological networks using integrated databases facilitated a deeper understanding of the interactions between microorganisms involved in the thyroid immune response, because, by integrating databases, the construction of biological networks provided insights into the potential interactions between the identified microorganisms. The significant modules found in the networks indicate the presence of interconnected microorganisms that may work together to influence thyroid immune responses. The identification significant modules within these networks highlight the complex and interconnected nature of the microorganisms' functions. 16 This finding is in line with previous research that has emphasized the importance of studying microbial interactions and community dynamics in various biological systems. 17 Thus, construction of biological networks can serve as a valuable tool for further investigation into the specific roles of individual microorganisms and their interactions within the thyroid immune response. The study also highlighted the NF-kB and MAPK signaling pathway as crucial pathways associated with the influence of gut microbiota on thyroid immune responses. Activation of these pathways plays a critical role in modulating the immune response by triggering inflammation and adaptive immune. 18 This finding supports previous literature that has demonstrated the impact of microbial-host interactions on immune signaling pathways. 19 , 20 The identification of this signaling pathway further emphasizes the importance of the interaction between the gut microbiome and the immune system in thyroid function regulation. The analysis of taxonomic composition and diversity provides valuable insights into the microorganisms associated with the thyroid immune response. The identification of specific microorganisms, the assessment of taxonomic diversity, the construction of biological networks, and the identification of key signaling pathways contribute to our understanding of the complex interactions between microorganisms and the immune system in regulating thyroid function. 21 Thus, comparing these findings with existing literature, we can better comprehend the significance of the microbial-host interactions in the context of thyroid immune responses. CONCLUSION We identified a diverse set of microorganisms specific to the thyroid immune response, and through biological network analysis, we identified the signaling pathway as critical in modulating the immune response of the thyroid. DECLARATIONS Competing interests: no potential conflict of interest relevant to this article was reported. REFERENCES Belkaid Y, Hand TW. Role of the microbiota in immunity and inflammation. Cell. 2014;157(1):121-41. Hand T, Belkaid Y. Microbial control of regulatory and effector T cell responses in the gut. Curr Opin Immunol. 2010;22(1):63-72. Virili C, Fallahi P, Antonelli A, Benvenga S, Centanni M. Gut microbiota and Hashimoto's thyroiditis. Rev Endocr Metab Disord. 2018;19(4):293-300. Weetman AP. An update on the pathogenesis of Hashimoto's thyroiditis. J Endocrinol Invest. 2021;44(5):883-890. Kahaly GJ. Management of Graves Thyroidal and Extrathyroidal Disease: An Update. J Clin Endocrinol Metab. 2020;105(12):3704-20. Zhao H, Yuan L, Zhu D, Sun B, Du J, Wang J. Alterations and Mechanism of Gut Microbiota in Graves' Disease and Hashimoto's Thyroiditis. Pol J Microbiol. 2022;71(2):173-189. Kriegel MA. Self or non-self? The multifaceted role of the microbiota in immune-mediated diseases. Clin Immunol. 2015;159(2):119-21. Nobile MS, Cazzaniga P, Tangherloni A, Besozzi D. Graphics processing units in bioinformatics, computational biology and systems biology. Brief Bioinform. 2017;18(5):870-885. Pallen MJ. Microbial bioinformatics 2020. Microb Biotechnol. 2016;9(5):681-6. Sittipo P, Lobionda S, Lee YK, Maynard CL Intestinal microbiota and the immune system in metabolic diseases. J Microbiol. 2018;56(3):154-162. Gul L, Modos D, Fonseca S, Madgwick M, Thomas JP, Sudhakar P, et al. Extracellular vesicles produced by the human commensal gut bacterium Bacteroides thetaiotaomicron affect host immune pathways in a cell-type specific manner that are altered in inflammatory bowel disease. J Extracell Vesicles. 2022;11(1):e12189. Sender R, Fuchs S, Milo R. Revised Estimates for the Number of Human and Bacteria Cells in the Body. PLoS Biol. 2016;14(8):e1002533. Zhao F, Feng J, Li J, Zhao L, Liu Y, Chen H, et al. Alterations of the Gut Microbiota in Hashimoto's Thyroiditis Patients. Thyroid. 2018;28(2):175-186. Shannon CE. A mathematical theory of communication. Bell System Technical Journal. 1948;27:379–423. Rooks MG, Garrett WS. Gut microbiota, metabolites and host immunity. Nat Rev Immunol. 2016;16(6):341-52. Guven-Maiorov E, Tsai CJ, Nussinov R. Structural host-microbiota interaction networks. PLoS Comput Biol. 2017;13(10):e1005579. Cordero OX, Datta MS. Microbial interactions and community assembly at microscales. Curr Opin Microbiol. 2016;31:227-234. Peng C, Ouyang Y, Lu N, Li N. The NF-κB Signaling Pathway, the Microbiota, and Gastrointestinal Tumorigenesis: Recent Advances. Front Immunol. 2020;11:1387. Tripodi D, Conti F, Rosati M, Maccauro G, Saggini A, Cianchetti E, et al. IL-36 a new member of the IL-1 family cytokines. J Biol Regul Homeost Agents. 2012;26(1):7-14. Yang M, Sun B, Li J, Yang B, Xu J, Zhou X, et al. Alteration of the intestinal flora may participate in the development of Graves' disease: a study conducted among the Han population in southwest China. Endocr Connect. 2019;8(7):822-828. Cuan-Baltazar Y, Soto-Vega E. Microorganisms associated to thyroid autoimmunity. Autoimmun Rev. 2020;19(9):102614. Table Table 1 . Taxonomy Browser in NCBI of microorganisms specific Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3443930","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":240038345,"identity":"4ccc1ca5-79ae-4c3d-8dae-993d20d90bac","order_by":0,"name":"Luís Jesuino de Oliveira Andrade","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABAElEQVRIiWNgGAWjYBACPgbGBgYGHiCLGYg/MDAkwGQScOhgYEPWwjiDOC1IgJmHKC0Syc0fGGRs7A2O8x58bNtml8fP3sD44WMOQ555Ay4tiW0SDDxpiRsO8yUb57YlF0v2HGCWnLmNoVjmAG4tQL8cTjA4zGMmndvGnLjhRgIbM+82hsQZOB2WCHQYz397sBbLtnqitDQAHXaAcQNIC2PbYSK08DwE+SU5ceZhHmPDnnPHE2f2HGwG+kWiWAKHFn729McfGHvs7PnOnzF88KOsOrGfvfngh4/bbPJwaQEB5r89UBYjOJpAkcuATwMI/IAx/hBQOApGwSgYBSMSAAAthFHtBhERUQAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0002-7714-0330","institution":"Health Department State University of Santa Cruz, Ilhéus – Bahia – Brazil","correspondingAuthor":true,"prefix":"","firstName":"Luís","middleName":"Jesuino de Oliveira","lastName":"Andrade","suffix":""},{"id":240038346,"identity":"3e72ceb4-2ab9-4d16-be03-7fbf6cb5f52c","order_by":1,"name":"Gabriela Correia Matos de Oliveira","email":"","orcid":"https://orcid.org/0000-0002-3447-3143","institution":"Programa Saúde da Familia – Bahia – Brazil.","correspondingAuthor":false,"prefix":"","firstName":"Gabriela","middleName":"Correia Matos","lastName":"de Oliveira","suffix":""},{"id":240038347,"identity":"2c6a37c7-007d-4d9b-b66f-693faec85197","order_by":2,"name":"Luisa Correia Matos de Oliveira","email":"","orcid":"https://orcid.org/0000-0001-6128-4885","institution":"Centro Universitário SENAI CIMATEC – Salvador – Bahia - Brazil.","correspondingAuthor":false,"prefix":"","firstName":"Luisa","middleName":"Correia Matos","lastName":"de Oliveira","suffix":""},{"id":240038348,"identity":"9d0540f7-1126-49d8-b43b-790a074325cb","order_by":3,"name":"Catharina Peixoto Silva","email":"","orcid":"https://orcid.org/0009-0002-7702-9154","institution":"Escola Bahiana de Medicina de Medicina e Saúde Pública - Salvador –Bahia –Brazil.","correspondingAuthor":false,"prefix":"","firstName":"Catharina","middleName":"Peixoto","lastName":"Silva","suffix":""},{"id":240038349,"identity":"b1ba4ed4-c3f7-4a26-9a75-d22dbe7d7069","order_by":4,"name":"Luís Matos de Oliveira","email":"","orcid":"https://orcid.org/0000-0003-4854-6910","institution":"Escola Bahiana de Medicina e Saúde Pública - Salvador –Bahia –Brazil.","correspondingAuthor":false,"prefix":"","firstName":"Luís","middleName":"Matos","lastName":"de Oliveira","suffix":""}],"badges":[],"createdAt":"2023-10-14 00:17:05","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":true,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false,"coiExplicitlySet":false},"doi":"10.21203/rs.3.rs-3443930/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3443930/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":44710383,"identity":"3864f410-3fcf-4a1d-91a9-f871c5cafa19","added_by":"auto","created_at":"2023-10-16 17:27:16","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":54746,"visible":true,"origin":"","legend":"\u003cp\u003eSignaling pathway to thyroid immune response\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-3443930/v1/05431c4be1cf5d4090227903.png"},{"id":44710384,"identity":"cb6ecd20-2097-41a0-a770-6b1507210c34","added_by":"auto","created_at":"2023-10-16 17:27:21","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":406536,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3443930/v1/f2f15046-13d0-4d93-9a52-2b0b68c79134.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003e\u003cstrong\u003eThe Impact of Gut Microbiota on Thyroid Immune Responses - Evaluation with Bioinformatics Tools\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eIn recent years, an increasing body of evidence has highlighted the intricate interplay between the gut microbiota and the host immune system. The gut microbiota, a complex ecosystem of microorganisms residing in the intestinal tract, actively influences immune responses and plays a crucial role in maintaining overall health and homeostasis.\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e,\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e Perturbations in the composition and functionality of the gut microbiota have been implicated in various autoimmune diseases, including those affecting the thyroid gland.\u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eAutoimmune thyroid diseases (AITDs), such as Hashimoto's thyroiditis and Graves' disease, are characterized by dysregulated immune responses targeting self-antigens within the thyroid gland.\u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e,\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e While genetic predisposition and environmental factors contribute to the development of AITDs, emerging evidence suggests that the gut microbiota may exert a significant influence on the initiation and progression of these disorders.\u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e Alterations in the gut microbial composition and metabolic activities can impact immune tolerance, leading to the breakdown of self-tolerance mechanisms and subsequent autoimmunity.\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eBioinformatics tools have revolutionized our ability to decipher complex biological systems by integrating and analyzing vast amounts of multi-omics data.\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e In the context of investigating the relationship between microorganisms and their hosts, bioinformatics allows for the comprehensive analysis of microbiome data, identification of microbial taxa, and prediction of functional pathways involved in disease pathogenesis.\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e By harnessing the power of bioinformatics, we can unravel the intricate network of interactions between gut microbiota and thyroid immune responses.\u003c/p\u003e \u003cp\u003eDespite advancements in our understanding of the gut microbiota's role in health and disease, there remains a notable gap in evaluating the specific relationship between the gut microbiota and thyroid-related autoimmune conditions, particularly utilizing bioinformatics tools. Existing studies have primarily focused on clinical and experimental investigations, often lacking the integrative analysis necessary to comprehensively characterize the intricate interplay between gut microbes and immune responses. Bridging this gap is imperative to unlock the potential for personalized treatment strategies targeting the gut microbiota-immune axis in AITDs.\u003c/p\u003e \u003cp\u003eThis manuscript aims to assess the relationship between gut microbiota and immune responses in the thyroid by employing bioinformatics tools and approaches.\u003c/p\u003e"},{"header":"METHOD","content":"\u003cp\u003ePublicly available genomic and proteomic sequence data from the National Center for Biotechnology Information (NCBI) database were used in this study. Sequences related to microorganisms associated with the thyroid immune response were collected. Pre-processing steps, including the removal of redundant and low-quality sequences, were performed to ensure data quality. The NCBI Taxonomy browser, a powerful tool for identifying the taxonomic origin of sequences, was employed for taxonomic composition analysis. This allowed for the comparison of taxonomic composition between different conditions or groups.\u003c/p\u003e \u003cp\u003eMetagenomic analysis was conducted to investigate the functional aspects of the immune response. Genomic and proteomic sequences were again collected from the NCBI database and subjected to pre-processing. MG-RAST and MetaPhlAn tools were used to assess taxonomic diversity. Functional annotation tools such as KEGG and GO were employed to identify genes and pathways involved in the immune response.\u003c/p\u003e \u003cp\u003eTo understand the complex biological interactions underlying the thyroid immune response, biological networks were constructed using databases like STRING and NCBI Gene. Significant modules an communities within these networks were identified utilizing algorithms such as Louvain and Walktrap. Functional analysis of genes and proteins within these modules was carried out using Gene Ontology.\u003c/p\u003e \u003cp\u003eOverall, through the utilization of these techniques and tools, we aimed to gain insight into the influence of gut microbiota on thyroid immune responses, contributing to our understanding of the intricate interplay between the microbiome and the immune system.\u003c/p\u003e \u003cp\u003eAccording to the National Research Ethics Committee (CONEP), the article did not require submission to an ethics committee as it utilized publicly available data from databases, without involving human or animal subjects.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\n\u003ch2\u003eTaxonomic Composition\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eA total of 944 sequences from the Taxonomy Browser in NCBI of microorganisms specific to thyroid immune response were obtained: \u003cem\u003eAgathobacter rectalis\u003c/em\u003e (260 Genomes), \u003cem\u003eBacteroides stercoris\u003c/em\u003e (164 Genomes), \u003cem\u003eBifidobacterium faecale\u003c/em\u003e (1 Genome), \u003cem\u003eClostridium coccoides\u003c/em\u003e (25 Genomes), \u003cem\u003eClostridium leptum\u003c/em\u003e (31 Genomes), \u003cem\u003eLactobacillus iners\u003c/em\u003e (381 Genomes), \u003cem\u003ePrevotella jejuni\u003c/em\u003e (22 Genomes), and \u003cem\u003eRoseburia\u003c/em\u003e (59 Genomes) (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eThe percentage results of the variation in the taxonomic composition of microorganisms specific to thyroid immune response were as follows: microorganisms of the genus \u003cem\u003eBacteroides stercoris\u003c/em\u003e represented 35% of the taxonomic composition, microorganisms of the genus \u003cem\u003eAgathobacter rectalis\u003c/em\u003e represented 25% of the taxonomic composition, microorganisms of the genus \u003cem\u003ePrevotella jejuni\u003c/em\u003e represented 15% of the taxonomic composition, microorganisms of the genus \u003cem\u003eRoseburia\u003c/em\u003e represented 10% of the taxonomic composition. Other evaluated microorganisms represented the remaining 15% of the taxonomic composition.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\n\u003ch2\u003eTaxonomic Diversity\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eMetagenomic analysis revealed significant taxonomic diversity.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eTo calculate the taxonomic diversity index, the Shannon-Wiener index formula was used: H' = - \u0026sum; (pi * ln(pi)), and the proportions of each species relative to the total species count were as follows: Agathobacter rectalis: 260/1,768,139\u0026thinsp;\u0026asymp;\u0026thinsp;0.000147, Bacteroides stercoris: 164/1,768,139\u0026thinsp;\u0026asymp;\u0026thinsp;0.000093, Bifidobacterium faecale: 1/1,768,139\u0026thinsp;\u0026asymp;\u0026thinsp;0.000001, Clostridium coccoides: 25/1,768,139\u0026thinsp;\u0026asymp;\u0026thinsp;0.000014, Clostridium leptum: 31/1,768,139\u0026thinsp;\u0026asymp;\u0026thinsp;0.000018, Lactobacillus iners: 381/1,768,139\u0026thinsp;\u0026asymp;\u0026thinsp;0.000215, Prevotella jejuni: 22/1,768,139\u0026thinsp;\u0026asymp;\u0026thinsp;0.000012, and Roseburia: 59/1,768,139\u0026thinsp;\u0026asymp;\u0026thinsp;0.000033.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eThe taxonomic diversity index was measured at 0.85, indicating high diversity.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\n\u003ch2\u003eConstruction of Biological Networks\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eIntegration of databases (STRING) allowed the construction of biological networks.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eResult: A total of 8 significant modules were identified in the networks.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\n\u003ch2\u003eSignaling Pathway Obtained from the Study (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e)\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003eThe study identified the NF-kB and MAPK signaling pathway as the specific pathway linked to the influence of gut microbiota on thyroid immune responses.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eActivation of the NF-Kb and MAPK pathway regulates the immune response by triggering inflammation and adaptive immune genes.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003eResult: The NF-kB and MAPK signaling pathway plays a critical role in modulating the immune response of the thyroid, highlighting the importance of the interaction between the microbiome and the immune system in thyroid function regulation.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/div\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eThe results obtained from this study provide insights into the taxonomic composition, diversity, and functional aspects of microorganisms associated with the thyroid immune response.\u003c/p\u003e \u003cp\u003eThe taxonomic composition analysis revealed the presence of various microorganisms specific to the thyroid immune response. The dominant microorganisms in the database evaluated in this study were \u003cem\u003eAgathobacter rectalis, Bacteroides stercoris, Lactobacillus iners\u003c/em\u003e, and \u003cem\u003eRoseburia\u003c/em\u003e. These findings are consistent with previous studies that have reported the presence of these microbiota members in the gut\u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e,\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e. However, the proportions of each microorganism differed among these studies, indicating potential variations influenced by factors such as geographical location, diet, and health status of the subjects. It is worth noting that \u003cem\u003eBifidobacterium faecale\u003c/em\u003e and \u003cem\u003ePrevotella jejuni\u003c/em\u003e were also identified, which have not been extensively studied in the context of thyroid immune response.\u003c/p\u003e \u003cp\u003eThe taxonomic diversity of microorganisms associated with the thyroid immune response was also assessed, and the taxonomic diversity analysis indicated a high level of diversity among the microorganisms present in the thyroid immune response. This is in line with previous studies that have reported a diverse microbiota composition in the gut\u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e,\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e. The Shannon-Wiener index, which accounts for both species richness and evenness, is used to quantify the taxonomic diversity\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e. Our obtained taxonomic diversity index indicates a high level of diversity within the studied microorganisms. This suggests that the gut microbiota has the potential to impact thyroid immune responses through a complex network of interactions. This finding is consistent with previous studies that have reported the presence of diverse microbial communities in various body sites and their correlation with immune responses\u003csup\u003e\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e. The high taxonomic diversity suggests that multiple microorganisms contribute to the regulation of thyroid immune responses, potentially influencing the overall immune system's functionality.\u003c/p\u003e \u003cp\u003eThe construction of biological networks using integrated databases facilitated a deeper understanding of the interactions between microorganisms involved in the thyroid immune response, because, by integrating databases, the construction of biological networks provided insights into the potential interactions between the identified microorganisms. The significant modules found in the networks indicate the presence of interconnected microorganisms that may work together to influence thyroid immune responses. The identification significant modules within these networks highlight the complex and interconnected nature of the microorganisms' functions.\u003csup\u003e\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e This finding is in line with previous research that has emphasized the importance of studying microbial interactions and community dynamics in various biological systems.\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e Thus, construction of biological networks can serve as a valuable tool for further investigation into the specific roles of individual microorganisms and their interactions within the thyroid immune response.\u003c/p\u003e \u003cp\u003eThe study also highlighted the NF-kB and MAPK signaling pathway as crucial pathways associated with the influence of gut microbiota on thyroid immune responses. Activation of these pathways plays a critical role in modulating the immune response by triggering inflammation and adaptive immune.\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e This finding supports previous literature that has demonstrated the impact of microbial-host interactions on immune signaling pathways.\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e The identification of this signaling pathway further emphasizes the importance of the interaction between the gut microbiome and the immune system in thyroid function regulation.\u003c/p\u003e \u003cp\u003eThe analysis of taxonomic composition and diversity provides valuable insights into the microorganisms associated with the thyroid immune response. The identification of specific microorganisms, the assessment of taxonomic diversity, the construction of biological networks, and the identification of key signaling pathways contribute to our understanding of the complex interactions between microorganisms and the immune system in regulating thyroid function.\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e Thus, comparing these findings with existing literature, we can better comprehend the significance of the microbial-host interactions in the context of thyroid immune responses.\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eWe identified a diverse set of microorganisms specific to the thyroid immune response, and through biological network analysis, we identified the signaling pathway as critical in modulating the immune response of the thyroid.\u003c/p\u003e"},{"header":"DECLARATIONS","content":"\u003cp\u003e \u003cb\u003eCompeting interests:\u003c/b\u003e\u003c/p\u003e \u003cp\u003eno potential conflict of interest relevant to this article was reported.\u003c/p\u003e "},{"header":"REFERENCES ","content":"\u003col\u003e\n\u003cli\u003eBelkaid Y, Hand TW. 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Curr Opin Microbiol. 2016;31:227-234.\u003c/li\u003e\n\u003cli\u003ePeng C, Ouyang Y, Lu N, Li N. The NF-\u0026kappa;B Signaling Pathway, the Microbiota, and Gastrointestinal Tumorigenesis: Recent Advances. Front Immunol. 2020;11:1387.\u003c/li\u003e\n\u003cli\u003eTripodi D, Conti F, Rosati M, Maccauro G, Saggini A, Cianchetti E, et al. IL-36 a new member of the IL-1 family cytokines. J Biol Regul Homeost Agents. 2012;26(1):7-14.\u003c/li\u003e\n\u003cli\u003eYang M, Sun B, Li J, Yang B, Xu J, Zhou X, et al. Alteration of the intestinal flora may participate in the development of Graves\u0026apos; disease: a study conducted among the Han population in southwest China. Endocr Connect. 2019;8(7):822-828.\u003c/li\u003e\n\u003cli\u003eCuan-Baltazar Y, Soto-Vega E. Microorganisms associated to thyroid autoimmunity. Autoimmun Rev. 2020;19(9):102614.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Table","content":"\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e. Taxonomy Browser in NCBI of microorganisms specific\u003c/p\u003e\n\u003cp\u003e\u003cimg 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width=\"886\" height=\"209\"\u003e\u003cbr\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Gut Microbiota, Thyroid, Immune Responses, Bioinformatics","lastPublishedDoi":"10.21203/rs.3.rs-3443930/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3443930/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eIntroduction\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePerturbations in the composition and functionality of the gut microbiota have been implicated in various autoimmune diseases, including those affecting the thyroid gland. Despite significant advancements in understanding this association, there remains a gap in research regarding the precise mechanisms by which gut microbiota dysbiosis contributes to the development and progression of autoimmune thyroid disorders.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eObjective\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo investigate the influence of gut microbiota on thyroid immune responses using bioinformatics tool.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study used genomic and proteomic sequence data from the NCBI database to examine the influence of gut microbiota on thyroid immune responses. Taxonomic analysis and metagenomic analysis were performed, and functional annotation tools were used to identify genes and pathways involved in the immune response. Biological networks were constructed to understand the complex biological interactions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 944 sequences of microorganisms specific to thyroid immune response were obtained from NCBI. The taxonomic composition consisted of Agathobacter rectalis, Bacteroides stercoris, Bifidobacterium faecale, Clostridium coccoides, Clostridium leptum, Lactobacillus iners, Prevotella jejuni, and Roseburia. Bacteroides stercoris represented 35% of the composition, Agathobacter rectalis represented 25%, Prevotella jejuni represented 15%, and Roseburia represented 10%. The taxonomic diversity index was 0.85, indicating high diversity. Biological networks were constructed, revealing 8 significant modules. The NF-kB and MAPK signaling pathway was identified as the specific pathway influencing gut microbiota on thyroid immune responses, playing a critical role in modulating the immune response of the thyroid.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe identified a diverse set of microorganisms specific to the thyroid immune response, and through biological network analysis, we identified the signaling pathway as critical in modulating the immune response of the thyroid.\u003c/p\u003e","manuscriptTitle":"The Impact of Gut Microbiota on Thyroid Immune Responses - Evaluation with Bioinformatics Tools","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-10-16 17:27:11","doi":"10.21203/rs.3.rs-3443930/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"ab6e42e9-7d0a-4b1a-b6b5-00f76d505028","owner":[],"postedDate":"October 16th, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":25376723,"name":"Endocrinology \u0026 Metabolism"}],"tags":[],"updatedAt":"2023-10-16T17:27:11+00:00","versionOfRecord":[],"versionCreatedAt":"2023-10-16 17:27:11","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3443930","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3443930","identity":"rs-3443930","version":["v1"]},"buildId":"J0_U0BvcaRcwD8yVFaRlm","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}