原始软骨转录特征反映了骨关节炎的细胞类型特异性分子通路。

IF 8.1 1区 生物学 Q1 GENETICS & HEREDITY American journal of human genetics Pub Date : 2024-11-15 DOI:10.1016/j.ajhg.2024.10.019
Georgia Katsoula, John E G Lawrence, Ana Luiza Arruda, Mauro Tutino, Petra Balogh, Lorraine Southam, Diane Swift, Sam Behjati, Sarah A Teichmann, J Mark Wilkinson, Eleftheria Zeggini
{"title":"原始软骨转录特征反映了骨关节炎的细胞类型特异性分子通路。","authors":"Georgia Katsoula, John E G Lawrence, Ana Luiza Arruda, Mauro Tutino, Petra Balogh, Lorraine Southam, Diane Swift, Sam Behjati, Sarah A Teichmann, J Mark Wilkinson, Eleftheria Zeggini","doi":"10.1016/j.ajhg.2024.10.019","DOIUrl":null,"url":null,"abstract":"<p><p>Translational efforts in osteoarthritis are hampered by a gap in our understanding of disease processes at the molecular level. Here, we present evidence of pronounced transcriptional changes in high- and low-disease-grade cartilage tissue, pointing to embryonic processes involved in disease progression. We identify shared transcriptional programs between osteoarthritis cartilage and cell populations in the human embryonic and fetal limb, pointing to increases in pre-hypertrophic chondrocytes' transcriptional programs in low-grade cartilage and increases in osteoblastic signatures in high-grade disease tissue. We find that osteoarthritis genetic risk signals are enriched in six gene co-expression modules and show that these transcriptional signatures reflect cell-type-specific expression along the endochondral ossification developmental trajectory. Using this network approach in combination with causal inference analysis, we present evidence of a causal effect on osteoarthritis risk for variants associated with the expression of ten genes that have not been previously reported as effector genes in genome-wide association studies in osteoarthritis. Our findings point to key molecular pathways as drivers of cartilage degeneration and identify high-value drug targets and repurposing opportunities.</p>","PeriodicalId":7659,"journal":{"name":"American journal of human genetics","volume":" ","pages":""},"PeriodicalIF":8.1000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Primary cartilage transcriptional signatures reflect cell-type-specific molecular pathways underpinning osteoarthritis.\",\"authors\":\"Georgia Katsoula, John E G Lawrence, Ana Luiza Arruda, Mauro Tutino, Petra Balogh, Lorraine Southam, Diane Swift, Sam Behjati, Sarah A Teichmann, J Mark Wilkinson, Eleftheria Zeggini\",\"doi\":\"10.1016/j.ajhg.2024.10.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Translational efforts in osteoarthritis are hampered by a gap in our understanding of disease processes at the molecular level. Here, we present evidence of pronounced transcriptional changes in high- and low-disease-grade cartilage tissue, pointing to embryonic processes involved in disease progression. We identify shared transcriptional programs between osteoarthritis cartilage and cell populations in the human embryonic and fetal limb, pointing to increases in pre-hypertrophic chondrocytes' transcriptional programs in low-grade cartilage and increases in osteoblastic signatures in high-grade disease tissue. We find that osteoarthritis genetic risk signals are enriched in six gene co-expression modules and show that these transcriptional signatures reflect cell-type-specific expression along the endochondral ossification developmental trajectory. Using this network approach in combination with causal inference analysis, we present evidence of a causal effect on osteoarthritis risk for variants associated with the expression of ten genes that have not been previously reported as effector genes in genome-wide association studies in osteoarthritis. Our findings point to key molecular pathways as drivers of cartilage degeneration and identify high-value drug targets and repurposing opportunities.</p>\",\"PeriodicalId\":7659,\"journal\":{\"name\":\"American journal of human genetics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":8.1000,\"publicationDate\":\"2024-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of human genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.ajhg.2024.10.019\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of human genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.ajhg.2024.10.019","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

摘要

骨关节炎的转化工作因我们对疾病过程在分子水平上的理解存在差距而受到阻碍。在这里,我们提出了高病变级软骨组织和低病变级软骨组织中明显的转录变化证据,指出胚胎过程参与了疾病的进展。我们确定了骨关节炎软骨与人类胚胎和胎儿肢体细胞群之间共享的转录程序,指出低级软骨中肥大前软骨细胞转录程序的增加以及高级疾病组织中成骨细胞特征的增加。我们发现骨关节炎遗传风险信号富集在六个基因共表达模块中,并表明这些转录特征反映了软骨内骨化发育轨迹中细胞类型特异性的表达。利用这种网络方法并结合因果推断分析,我们提出了与十个基因表达相关的变异对骨关节炎风险产生因果效应的证据,这些基因以前在骨关节炎的全基因组关联研究中没有作为效应基因被报道过。我们的研究结果指出了软骨退化的关键分子通路,并确定了高价值的药物靶点和再利用机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Primary cartilage transcriptional signatures reflect cell-type-specific molecular pathways underpinning osteoarthritis.

Translational efforts in osteoarthritis are hampered by a gap in our understanding of disease processes at the molecular level. Here, we present evidence of pronounced transcriptional changes in high- and low-disease-grade cartilage tissue, pointing to embryonic processes involved in disease progression. We identify shared transcriptional programs between osteoarthritis cartilage and cell populations in the human embryonic and fetal limb, pointing to increases in pre-hypertrophic chondrocytes' transcriptional programs in low-grade cartilage and increases in osteoblastic signatures in high-grade disease tissue. We find that osteoarthritis genetic risk signals are enriched in six gene co-expression modules and show that these transcriptional signatures reflect cell-type-specific expression along the endochondral ossification developmental trajectory. Using this network approach in combination with causal inference analysis, we present evidence of a causal effect on osteoarthritis risk for variants associated with the expression of ten genes that have not been previously reported as effector genes in genome-wide association studies in osteoarthritis. Our findings point to key molecular pathways as drivers of cartilage degeneration and identify high-value drug targets and repurposing opportunities.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
14.70
自引率
4.10%
发文量
185
审稿时长
1 months
期刊介绍: The American Journal of Human Genetics (AJHG) is a monthly journal published by Cell Press, chosen by The American Society of Human Genetics (ASHG) as its premier publication starting from January 2008. AJHG represents Cell Press's first society-owned journal, and both ASHG and Cell Press anticipate significant synergies between AJHG content and that of other Cell Press titles.
期刊最新文献
Demographic history and genetic variation of the Armenian population. Primary cartilage transcriptional signatures reflect cell-type-specific molecular pathways underpinning osteoarthritis. The PRIMED Consortium: Reducing disparities in polygenic risk assessment. The methylomic landscape of human articular cartilage development contains epigenetic signatures of osteoarthritis risk. Comparative analysis of predicted DNA secondary structures infers complex human centromere topology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1