Temporal profile of serum neurofilament light in multiple sclerosis: Implications for patient monitoring.
Temporal profile of serum neurofilament light in multiple sclerosis: Implications for patient monitoring.
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多发性硬化症中血清神经丝光的时间谱:对患者监测的影响。
DOI:
10.1177/1352458520972573
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发表时间:
2021-09
期刊:
影响因子:
--
通讯作者:
Plavina T
中科院分区:
文献类型:
--
作者:
Calabresi PA;Arnold DL;Sangurdekar D;Singh CM;Altincatal A;de Moor C;Engle B;Goyal J;Deykin A;Szak S;Kieseier BC;Rudick RA;Plavina T
To understand how longitudinal serum neurofilament light chain (sNfL) patterns can inform its use as a prognostic biomarker in multiple sclerosis (MS) and evaluate whether sNfL reflects MS disease activity and disease-modifying therapy usage. This was a post hoc analysis of longitudinal data and samples from the ADVANCE trial (NCT00906399) of patients with relapsing–remitting MS (RRMS). sNfL was measured every 3 months for 2 years, then every 6 months for 4 years. Regression models explored how sNfL data predicted 4-year values of brain volume, expanded disability status scale score, and T2 lesions. sNfL levels were assessed in those receiving placebo, peginterferon beta-1a, and those with disease activity. Baseline sNfL was a predictor of 4-year brain atrophy and development of new T2 lesions. Clinical (p = 0.02) and magnetic resonance imaging (MRI) (p < 0.01) outcomes improved in those receiving peginterferon beta-1a whose sNfL decreased to <16 pg/mL after 12 months versus those whose sNfL remained ⩾16 pg/mL. Mean sNfL levels decreased in peginterferon beta-1a-treated patients and increased in placebo-treated patients (–9.5% vs. 6.8%; p < 0.01). sNfL was higher and more variable in patients with evidence of active MS. These data support sNfL as a prognostic and disease-monitoring biomarker for RRMS.
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DOI:
10.1056/nejmra1401483
发表时间:
2018-01-11
期刊:
The New England journal of medicine
影响因子:
--
作者:
Reich DS;Lucchinetti CF;Calabresi PA
通讯作者:
Calabresi PA
影响因子:
9.9
作者:
Lublin FD;Reingold SC;Cohen JA;Cutter GR;Sørensen PS;Thompson AJ;Wolinsky JS;Balcer LJ;Banwell B;Barkhof F;Bebo B Jr;Calabresi PA;Clanet M;Comi G;Fox RJ;Freedman MS;Goodman AD;Inglese M;Kappos L;Kieseier BC;Lincoln JA;Lubetzki C;Miller AE;Montalban X;O'Connor PW;Petkau J;Pozzilli C;Rudick RA;Sormani MP;Stüve O;Waubant E;Polman CH
通讯作者:
Polman CH
影响因子:
29
作者:
Bjornevik, Kjetil;Munger, Kassandra L.;Ascherio, Alberto
通讯作者:
Ascherio, Alberto
影响因子:
11
作者:
Sejbaek, Tobias;Nielsen, Helle Hvilsted;Illes, Zsolt
通讯作者:
Illes, Zsolt
影响因子:
2.6
作者:
Meyer-Moock S;Feng YS;Maeurer M;Dippel FW;Kohlmann T
通讯作者:
Kohlmann T