{"title":"AyurPhenoClusters 确定罕见疾病的共同分子根源,发现综合症中的睫状肌功能障碍","authors":"Aditi Joshi, Deepika Jangir, Ashish Sharma, Tanay Anand, Hamendra Verma, Manvi Yadav, Nupur Rangani, Pallavi Joshi, Ravi Pratap Singh, Sandeep Kumar, Shipra Girdhar, Rakesh Sharma, Abhimanyu Kumar, Lipika Dey, Mitali Mukerji","doi":"10.1101/2024.09.13.612844","DOIUrl":null,"url":null,"abstract":"Managing rare genetic diseases with organ centric focus presents a challenge in linking genotypes to phenotypic traits. Ayurveda on the other hand, diagnose diseases with multi-system perspective that are assessed by perturbations along three physiological dimensions viz- kinetic (Vata), metabolic (Pitta) and structural (Kapha) each with distinct phenotypic attributes and molecular correlates. This study explores how rare diseases, can be viewed from an Ayurvedic perspective by unifying the medical terminologies from both disciplines through Human Phenotype Ontology (HPO). Domain experts categorized 10,610 HPO terms into phenotypic groups based on Ayurvedic principles of Vata (V), Pitta (P), and Kapha (K) and used the Expectation Maximization (EM) algorithm to cluster and analyze 12,678 diseases. This revealed six distinct clusters collectively called \"AyurPhenoClusters\". 2814 diseases had unique memberships to single clusters showing enrichment for V/P/K phenotypes. Clusterwise functional annotation revealed the top processes as (i) embryogenesis and skeletal system, morphogenesis; (ii) endocrine and ciliary functions (iii) DNA damage response and cell cycle regulation (iv) inflammation and immune response (v) immune, hemopoiesis, telomere aging (vi) Small molecule metabolism and transport. Most noteworthy, K predominant cluster was significantly enriched for ciliary genes (43%) followed by a V predominant cluster (16 %). Our study also suggests that many rare diseases especially in the V cluster could be potential ciliopathies. This first of its kind of study provides an innovative framework that can bridge the gap between Ayurveda and modern medicine for improved mechanistic understanding of the rare diseases and pave the way for improved diagnostic and therapeutic strategies.","PeriodicalId":501246,"journal":{"name":"bioRxiv - Genetics","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AyurPhenoClusters define common molecular roots for rare diseases and uncover ciliary dysfunctions in syndromic conditions\",\"authors\":\"Aditi Joshi, Deepika Jangir, Ashish Sharma, Tanay Anand, Hamendra Verma, Manvi Yadav, Nupur Rangani, Pallavi Joshi, Ravi Pratap Singh, Sandeep Kumar, Shipra Girdhar, Rakesh Sharma, Abhimanyu Kumar, Lipika Dey, Mitali Mukerji\",\"doi\":\"10.1101/2024.09.13.612844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Managing rare genetic diseases with organ centric focus presents a challenge in linking genotypes to phenotypic traits. Ayurveda on the other hand, diagnose diseases with multi-system perspective that are assessed by perturbations along three physiological dimensions viz- kinetic (Vata), metabolic (Pitta) and structural (Kapha) each with distinct phenotypic attributes and molecular correlates. This study explores how rare diseases, can be viewed from an Ayurvedic perspective by unifying the medical terminologies from both disciplines through Human Phenotype Ontology (HPO). Domain experts categorized 10,610 HPO terms into phenotypic groups based on Ayurvedic principles of Vata (V), Pitta (P), and Kapha (K) and used the Expectation Maximization (EM) algorithm to cluster and analyze 12,678 diseases. This revealed six distinct clusters collectively called \\\"AyurPhenoClusters\\\". 2814 diseases had unique memberships to single clusters showing enrichment for V/P/K phenotypes. Clusterwise functional annotation revealed the top processes as (i) embryogenesis and skeletal system, morphogenesis; (ii) endocrine and ciliary functions (iii) DNA damage response and cell cycle regulation (iv) inflammation and immune response (v) immune, hemopoiesis, telomere aging (vi) Small molecule metabolism and transport. Most noteworthy, K predominant cluster was significantly enriched for ciliary genes (43%) followed by a V predominant cluster (16 %). Our study also suggests that many rare diseases especially in the V cluster could be potential ciliopathies. This first of its kind of study provides an innovative framework that can bridge the gap between Ayurveda and modern medicine for improved mechanistic understanding of the rare diseases and pave the way for improved diagnostic and therapeutic strategies.\",\"PeriodicalId\":501246,\"journal\":{\"name\":\"bioRxiv - Genetics\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"bioRxiv - Genetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.09.13.612844\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Genetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.13.612844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
罕见遗传病的管理以器官为中心,这给将基因型与表型特征联系起来带来了挑战。另一方面,阿育吠陀从多系统角度诊断疾病,通过三个生理维度,即动力(Vata)、代谢(Pitta)和结构(Kapha)的干扰来评估疾病,每个维度都有不同的表型属性和分子相关性。本研究通过人类表型本体论(HPO)将两个学科的医学术语统一起来,探讨如何从阿育吠陀学的角度看待罕见病。领域专家根据阿育吠陀学的 Vata(V)、Pitta(P)和 Kapha(K)原则,将 10,610 个 HPO 术语归类为表型组,并使用期望最大化(EM)算法对 12,678 种疾病进行聚类和分析。结果发现了六个不同的群组,统称为 "AyurPhenoClusters"。有 2814 种疾病是单个聚类的独特成员,显示出 V/P/K 表型的富集。聚类功能注释显示,最重要的过程是:(i)胚胎发生和骨骼系统、形态发生;(ii)内分泌和睫状体功能;(iii)DNA 损伤反应和细胞周期调节;(iv)炎症和免疫反应;(v)免疫、造血、端粒老化;(vi)小分子代谢和运输。最值得注意的是,睫状体基因在 K 优势群组中明显富集(43%),其次是 V 优势群组(16%)。我们的研究还表明,许多罕见疾病,尤其是 V 群中的罕见疾病,可能是潜在的纤毛疾病。这项首创的研究提供了一个创新的框架,可以弥合阿育吠陀与现代医学之间的差距,提高对罕见疾病的机理认识,为改进诊断和治疗策略铺平道路。
AyurPhenoClusters define common molecular roots for rare diseases and uncover ciliary dysfunctions in syndromic conditions
Managing rare genetic diseases with organ centric focus presents a challenge in linking genotypes to phenotypic traits. Ayurveda on the other hand, diagnose diseases with multi-system perspective that are assessed by perturbations along three physiological dimensions viz- kinetic (Vata), metabolic (Pitta) and structural (Kapha) each with distinct phenotypic attributes and molecular correlates. This study explores how rare diseases, can be viewed from an Ayurvedic perspective by unifying the medical terminologies from both disciplines through Human Phenotype Ontology (HPO). Domain experts categorized 10,610 HPO terms into phenotypic groups based on Ayurvedic principles of Vata (V), Pitta (P), and Kapha (K) and used the Expectation Maximization (EM) algorithm to cluster and analyze 12,678 diseases. This revealed six distinct clusters collectively called "AyurPhenoClusters". 2814 diseases had unique memberships to single clusters showing enrichment for V/P/K phenotypes. Clusterwise functional annotation revealed the top processes as (i) embryogenesis and skeletal system, morphogenesis; (ii) endocrine and ciliary functions (iii) DNA damage response and cell cycle regulation (iv) inflammation and immune response (v) immune, hemopoiesis, telomere aging (vi) Small molecule metabolism and transport. Most noteworthy, K predominant cluster was significantly enriched for ciliary genes (43%) followed by a V predominant cluster (16 %). Our study also suggests that many rare diseases especially in the V cluster could be potential ciliopathies. This first of its kind of study provides an innovative framework that can bridge the gap between Ayurveda and modern medicine for improved mechanistic understanding of the rare diseases and pave the way for improved diagnostic and therapeutic strategies.