A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE.
A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE.
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用于诊断和预测 SLE 肾炎的新型血清 tsRNA。
DOI:
10.3389/fimmu.2021.735105
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发表时间:
2021
影响因子:
7.3
通讯作者:
Wang Y
中科院分区:
文献类型:
--
作者:
Yang P;Zhang X;Chen S;Tao Y;Ning M;Zhu Y;Liang J;Kong W;Shi B;Li Z;Shen H;Wang Y
Dysregulation of transfer RNA (tRNA)-derived small noncoding RNA (tsRNA) signatures in human serum has been found in various diseases. Here, we determine whether the signatures of tsRNAs in serum can serve as biomarkers for diagnosis or prognosis of systemic lupus erythematosus (SLE). Initially, small RNA sequencing was employed for the screening serum tsRNAs obtained from SLE patients, followed by validation with TaqMan probe-based quantitative reverse transcription-PCR (RT-PCR) assay. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic efficacy. The biological functions of tsRNAs were identified by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) assay. We first analyzed tsRNA signatures in SLE serum and identified that tRF-His-GTG-1 was significantly upregulated in SLE serum. The combination of tRF-His-GTG-1 and anti-dsDNA could serve as biomarkers for diagnosing SLE with a high area under the curve (AUC) of 0.95 (95% CI = 0.92–0.99), sensitivity (83.72%), and specificity (94.19%). Importantly, the noninvasive serum tRF-His-GTG-1 could also be used to distinguish SLE with LN or SLE without LN with AUC of 0.81 (95% CI, 0.73–0.88) and performance (sensitivity 66.27%, specificity 96.15%). Moreover, the serum tsRNA is mainly secreted via exosome and can directly target signaling molecules that play crucial roles in regulating the immune system. In this study, it has been demonstrated for the first time that serum tsRNAs can be employed as noninvasive biomarkers for the efficient diagnosis and prediction of nephritis in SLE.
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影响因子:
12.8
作者:
Ghodke-Puranik Y;Niewold TB
通讯作者:
Niewold TB
影响因子:
7.3
作者:
Jin F;Hu H;Xu M;Zhan S;Wang Y;Zhang H;Chen X
通讯作者:
Chen X
影响因子:
--
作者:
Petri, Michelle;Orbai, Ana-Maria;Alarcon, Graciela S.;Gordon, Caroline;Merrill, Joan T.;Fortin, Paul R.;Bruce, Ian N.;Isenberg, David;Wallace, Daniel J.;Nived, Ola;Sturfelt, Gunnar;Ramsey-Goldman, Rosalind;Bae, Sang-Cheol;Hanly, John G.;Sanchez-Guerrero, Jorge;Clarke, Ann;Aranow, Cynthia;Manzi, Susan;Urowitz, Murray;Gladman, Dafna;Kalunian, Kenneth;Costner, Melissa;Werth, Victoria P.;Zoma, Asad;Bernatsky, Sasha;Ruiz-Irastorza, Guillermo;Khamashta, Munther A.;Jacobsen, Soren;Buyon, Jill P.;Maddison, Peter;Dooley, Mary Anne;van vollenhoven, Ronald F.;Ginzler, Ellen;Stoll, Thomas;Peschken, Christine;Jorizzo, Joseph L.;Callen, Jeffrey P.;Lim, S. Sam;Fessler, Barri J.;Inanc, Murat;Kamen, Diane L.;Rahman, Anisur;Steinsson, Kristjan;Franks, Andrew G., Jr.;Sigler, Lisa;Hameed, Suhail;Fang, Hong;Ngoc Pham;Brey, Robin;Weisman, Michael H.;McGwin, Gerald, Jr.;Magder, Laurence S.
通讯作者:
Magder, Laurence S.
DOI:
10.1073/pnas.1604266113
发表时间:
2016-05-03
影响因子:
11.1
作者:
Pekarsky, Yuri;Balatti, Veronica;Croce, Carlo M.
通讯作者:
Croce, Carlo M.
影响因子:
5.5
作者:
Ling, Hua-Zhi;Xu, Shu-Zhen;Ye, Dong-Qing
通讯作者:
Ye, Dong-Qing