Mikkel Malham , Christoffer Sejling , Megan Davies , Vibeke Wewer , Samir Bhatt , Matthew P. Fox , Naja H. Rod
{"title":"童年逆境如何影响儿童免疫介导炎症性疾病的风险","authors":"Mikkel Malham , Christoffer Sejling , Megan Davies , Vibeke Wewer , Samir Bhatt , Matthew P. Fox , Naja H. Rod","doi":"10.1016/j.jaut.2025.103457","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The etiology of pediatric-onset immune-mediated inflammatory disease (pIMID) is poorly understood, particularly the interplay of early-life adversities. We explored how interrelated early-life adversities affect the pIMID risk in a life-course birth cohort.</div></div><div><h3>Methods</h3><div>We included all children born in Denmark between 1981 and 2015. Adversities encountered during the first 1000 days of life were obtained from the Danish registries and categorized into three dimensions: biological, material, and familial. The outcome was developing pIMID (autoimmune liver disease, inflammatory bowel disease, juvenile idiopathic arthritis, vasculitis, and systemic lupus erythematosus) between ages 2 and 18. Cox proportional hazards and additive hazard model assessed the effect of the cumulative adversity load on developing pIMID. A machine learning model identified exposure patterns associated with increased absolute risk estimates.</div></div><div><h3>Results</h3><div>Of 2,123,827 children, 9070 developed pIMID. The cumulative burden of biological adversities was associated with higher risks of developing pIMID; aHR of two adversities was 1.23 (95 %CI: 1.07 to 1.41), aHR of ≥4 adversities was 1.8 (95 %CI: 1.4 to 2.2). Conversely, >2 familial adversities were associated with a reduced risk (0.66 [95 %CI: 0.41 to 1.1]). No associations were found in the material dimension. The machine learning model identified a pattern of adversities associated with a five-fold higher pIMID risk in a population subgroup.</div></div><div><h3>Conclusion</h3><div>Early-life biological adversities are important risk factors for developing pIMID. The lower risk observed in the familial dimension was unexpected but may reflect delayed diagnosis in socially vulnerable families. This potential inequality in healthcare needs further exploration.</div></div>","PeriodicalId":15245,"journal":{"name":"Journal of autoimmunity","volume":"156 ","pages":"Article 103457"},"PeriodicalIF":7.0000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How early-life adversity affects the risk of pediatric-onset immune-mediated inflammatory disease\",\"authors\":\"Mikkel Malham , Christoffer Sejling , Megan Davies , Vibeke Wewer , Samir Bhatt , Matthew P. Fox , Naja H. Rod\",\"doi\":\"10.1016/j.jaut.2025.103457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The etiology of pediatric-onset immune-mediated inflammatory disease (pIMID) is poorly understood, particularly the interplay of early-life adversities. We explored how interrelated early-life adversities affect the pIMID risk in a life-course birth cohort.</div></div><div><h3>Methods</h3><div>We included all children born in Denmark between 1981 and 2015. Adversities encountered during the first 1000 days of life were obtained from the Danish registries and categorized into three dimensions: biological, material, and familial. The outcome was developing pIMID (autoimmune liver disease, inflammatory bowel disease, juvenile idiopathic arthritis, vasculitis, and systemic lupus erythematosus) between ages 2 and 18. Cox proportional hazards and additive hazard model assessed the effect of the cumulative adversity load on developing pIMID. A machine learning model identified exposure patterns associated with increased absolute risk estimates.</div></div><div><h3>Results</h3><div>Of 2,123,827 children, 9070 developed pIMID. The cumulative burden of biological adversities was associated with higher risks of developing pIMID; aHR of two adversities was 1.23 (95 %CI: 1.07 to 1.41), aHR of ≥4 adversities was 1.8 (95 %CI: 1.4 to 2.2). Conversely, >2 familial adversities were associated with a reduced risk (0.66 [95 %CI: 0.41 to 1.1]). No associations were found in the material dimension. The machine learning model identified a pattern of adversities associated with a five-fold higher pIMID risk in a population subgroup.</div></div><div><h3>Conclusion</h3><div>Early-life biological adversities are important risk factors for developing pIMID. The lower risk observed in the familial dimension was unexpected but may reflect delayed diagnosis in socially vulnerable families. This potential inequality in healthcare needs further exploration.</div></div>\",\"PeriodicalId\":15245,\"journal\":{\"name\":\"Journal of autoimmunity\",\"volume\":\"156 \",\"pages\":\"Article 103457\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of autoimmunity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0896841125001027\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of autoimmunity","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0896841125001027","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
How early-life adversity affects the risk of pediatric-onset immune-mediated inflammatory disease
Background
The etiology of pediatric-onset immune-mediated inflammatory disease (pIMID) is poorly understood, particularly the interplay of early-life adversities. We explored how interrelated early-life adversities affect the pIMID risk in a life-course birth cohort.
Methods
We included all children born in Denmark between 1981 and 2015. Adversities encountered during the first 1000 days of life were obtained from the Danish registries and categorized into three dimensions: biological, material, and familial. The outcome was developing pIMID (autoimmune liver disease, inflammatory bowel disease, juvenile idiopathic arthritis, vasculitis, and systemic lupus erythematosus) between ages 2 and 18. Cox proportional hazards and additive hazard model assessed the effect of the cumulative adversity load on developing pIMID. A machine learning model identified exposure patterns associated with increased absolute risk estimates.
Results
Of 2,123,827 children, 9070 developed pIMID. The cumulative burden of biological adversities was associated with higher risks of developing pIMID; aHR of two adversities was 1.23 (95 %CI: 1.07 to 1.41), aHR of ≥4 adversities was 1.8 (95 %CI: 1.4 to 2.2). Conversely, >2 familial adversities were associated with a reduced risk (0.66 [95 %CI: 0.41 to 1.1]). No associations were found in the material dimension. The machine learning model identified a pattern of adversities associated with a five-fold higher pIMID risk in a population subgroup.
Conclusion
Early-life biological adversities are important risk factors for developing pIMID. The lower risk observed in the familial dimension was unexpected but may reflect delayed diagnosis in socially vulnerable families. This potential inequality in healthcare needs further exploration.
期刊介绍:
The Journal of Autoimmunity serves as the primary publication for research on various facets of autoimmunity. These include topics such as the mechanism of self-recognition, regulation of autoimmune responses, experimental autoimmune diseases, diagnostic tests for autoantibodies, as well as the epidemiology, pathophysiology, and treatment of autoimmune diseases. While the journal covers a wide range of subjects, it emphasizes papers exploring the genetic, molecular biology, and cellular aspects of the field.
The Journal of Translational Autoimmunity, on the other hand, is a subsidiary journal of the Journal of Autoimmunity. It focuses specifically on translating scientific discoveries in autoimmunity into clinical applications and practical solutions. By highlighting research that bridges the gap between basic science and clinical practice, the Journal of Translational Autoimmunity aims to advance the understanding and treatment of autoimmune diseases.