CXCL13 is a predictive biomarker in idiopathic multicentric Castleman disease.
CXCL13 is a predictive biomarker in idiopathic multicentric Castleman disease.
复制标题
DOI:
10.1038/s41467-022-34873-7
复制
发表时间:
2022-11-24
影响因子:
16.6
通讯作者:
Fajgenbaum, David C.
中科院分区:
文献类型:
--
作者:
Pierson, Sheila K.;Katz, Laura;Williams, Reece;Mumau, Melanie;Gonzalez, Michael;Guzman, Stacy;Rubenstein, Ayelet;Oromendia, Ana B.;Beineke, Philip;Fossa, Alexander;van Rhee, Frits;Fajgenbaum, David C.
Idiopathic multicentric Castleman disease (iMCD) is a rare and poorly-understood cytokine storm-driven inflammatory disorder. Interleukin-6 (IL-6) is a known disease driver in some patients, but anti-IL-6 therapy with siltuximab is not effective in all patients, and biomarkers indicating success at an early time point following treatment initiation are lacking. Here we show, by comparison of levels of 1,178 proteins in sera of healthy participants (N = 42), patients with iMCD (N = 88), and with related diseases (N = 60), a comprehensive landscape of candidate disease mediators and predictors of siltuximab response. C-X-C Motif Chemokine Ligand-13 (CXCL13) is identified and validated as the protein most prominently up-regulated in iMCD. Early and significant decrease in CXCL13 levels clearly distinguishes siltuximab responders from non-responders; a 17% reduction by day 8 following siltuximab therapy initiation is predictive of response at later time points. Our study thus suggests that CXCL13 is a predictive biomarker of response to siltuximab in iMCD. Idiopathic multicentric Castleman disease (iMCD) is a life-threatening inflammatory disease requiring immediate intervention, for which the recommended first-line therapy is the Interleukin-6 pathway inhibitor siltuximab. Authors here show that the change in levels of the chemokine CXCL13 shortly following the start of siltuximab treatment is predictive of response.
登录
查看更多内容
影响因子:
3
作者:
Klimatcheva E;Pandina T;Reilly C;Torno S;Bussler H;Scrivens M;Jonason A;Mallow C;Doherty M;Paris M;Smith ES;Zauderer M
通讯作者:
Zauderer M
影响因子:
3.7
作者:
Gold L;Ayers D;Bertino J;Bock C;Bock A;Brody EN;Carter J;Dalby AB;Eaton BE;Fitzwater T;Flather D;Forbes A;Foreman T;Fowler C;Gawande B;Goss M;Gunn M;Gupta S;Halladay D;Heil J;Heilig J;Hicke B;Husar G;Janjic N;Jarvis T;Jennings S;Katilius E;Keeney TR;Kim N;Koch TH;Kraemer S;Kroiss L;Le N;Levine D;Lindsey W;Lollo B;Mayfield W;Mehan M;Mehler R;Nelson SK;Nelson M;Nieuwlandt D;Nikrad M;Ochsner U;Ostroff RM;Otis M;Parker T;Pietrasiewicz S;Resnicow DI;Rohloff J;Sanders G;Sattin S;Schneider D;Singer B;Stanton M;Sterkel A;Stewart A;Stratford S;Vaught JD;Vrkljan M;Walker JJ;Watrobka M;Waugh S;Weiss A;Wilcox SK;Wolfson A;Wolk SK;Zhang C;Zichi D
通讯作者:
Zichi D
DOI:
10.1073/pnas.2105822118
发表时间:
2021-10-12
影响因子:
11.1
作者:
Aoki T;Chong LC;Takata K;Milne K;Marshall A;Chavez EA;Miyata-Takata T;Ben-Neriah S;Unrau D;Telenius A;Boyle M;Weng AP;Savage KJ;Scott DW;Farinha P;Shah SP;Nelson BH;Steidl C
通讯作者:
Steidl C
影响因子:
7.5
作者:
Pierson, Sheila K.;Shenoy, Sushila;Fajgenbaum, David C.
通讯作者:
Fajgenbaum, David C.
DOI:
10.1111/j.2517-6161.1995.tb02031.x
发表时间:
1995-01-01
影响因子:
5.8
作者:
BENJAMINI, Y;HOCHBERG, Y
通讯作者:
HOCHBERG, Y