Analyses of Long Noncoding RNA and mRNA Profiles in Subjects with the Phlegm-Dampness Constitution.
Analyses of Long Noncoding RNA and mRNA Profiles in Subjects with the Phlegm-Dampness Constitution.
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痰湿体质受试者长非编码RNA和mRNA谱分析
DOI：
10.1155/2021/4896282
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发表时间：
2021
影响因子：
--
通讯作者：
Wang Q
中科院分区：
文献类型：
--
作者：
Dong L;Zheng Y;Liu D;He F;Lee K;Li L;Wang Q
中医体质在疾病的发生、发展和预后中起着关键作用。痰湿体质是中医九大体质之一，易发生代谢紊乱，主要表现为痰多、腹松、面腻。流行病学，基因组学和表观遗传学的研究已经在以前的工作中进行，证实PDC代表了一个独特的人群与代谢紊乱相关的微观变化。然而，长链非编码RNA（lncRNA）是否在PDC受试者的代谢疾病中发挥调节作用仍然是未知的。本研究旨在探讨不同的lncRNA和mRNA表达特征以及lncRNA-mRNA调控网络在湿热体质（PDC）中的作用。 分离PDC（n = 13）和平衡体质（BC）（n = 9）受试者的外周血单个核细胞（PBMC）。使用微阵列分析PBMC中lncRNA和mRNA的谱，并使用RT-qPCR进一步验证。随后，通过使用不相容性通路分析（IPA）进行通路分析以研究差异表达的mRNA的功能。 结果表明，部分受差异表达lncRNA调控的mRNA主要富集于脂质代谢和免疫炎症相关通路。这与以往研究的分子特征一致，提示PDC代谢紊乱的临床特征可能受lncRNA的调控。此外，通过构建共表达网络以及顺式调控靶基因分析，通过生物信息学分析鉴定了几个具有潜在调控关系的lncRNA-mRNA对，包括RP 11 -317J10.2-CA 3、RP 11 -809C18.3-PIP 4K 2A、LINC 0069-RFTN 1、TTTY 15-ARHGEF 9和AC135048.13-ORAI 3。 本研究首次揭示了lncRNA/mRNAs的表达特征可能是潜在的生物标志物，表明PDC独特的物理和临床特征可能部分归因于lncRNA/mRNAs的特异性表达特征。
Constitution in traditional Chinese medicine (TCM) plays a key role in the genesis, development, and prognosis of diseases. Phlegm-dampness constitution (PDC) is one of the nine constitutions in TCM, susceptible to metabolic disorders, which is mainly manifested by profuse phlegm, loose abdomen, and greasy face. Epidemiologic, genomic, and epigenetic studies have been carried out in previous works, confirming that PDC represents a distinctive population with microcosmic changes related to metabolic disorders. However, whether long noncoding RNAs (lncRNAs) play a regulatory role in metabolic disease in subjects with PDC remains largely unknown. We aimed to investigate distinct lncRNA and mRNA expression signatures and lncRNA-mRNA regulatory networks in the phlegm-dampness constitution (PDC). The peripheral blood mononuclear cells (PBMCs) were isolated from the subjects with PDC (n = 13) and balanced constitution (BC) (n = 9). The profiles of lncRNAs and mRNAs in PBMCs were analyzed using microarray and further validated with RT-qPCR. Subsequently, pathway analysis was performed to investigate the function of differentially expressed mRNAs by using Ingenuity Pathway Analysis (IPA). Results suggested that some mRNAs, which were regulated by the differentially expressed lncRNAs, were mainly enriched in lipid metabolism and immune inflammation-related pathways. This was consistent with the molecular characteristics of previous studies, indicating that the clinical characteristics of metabolic disorders in PDC might be regulated by lncRNAs. Furthermore, by making coexpression network construction as well as cis-regulated target gene analysis, several lncRNA-mRNA pairs with potential regulatory relationships were identified by bioinformatic analyses, including RP11-317J10.2-CA3, RP11-809C18.3-PIP4K2A, LINC0069-RFTN1, TTTY15-ARHGEF9, and AC135048.13-ORAI3. This study first revealed that the expression characteristics of lncRNAs/mRNAs may be potential biomarkers, indicating that the distinctive physical and clinical characteristics of PDC might be partially attributed to the specific expression signatures of lncRNAs/mRNAs.
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