CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Metabolic biomarkers for predicting onset and severity of CAR-T therapy-induced cytokine release syndrome in multiple myeloma.
Metabolic biomarkers for predicting onset and severity of CAR-T therapy-induced cytokine release syndrome in multiple myeloma.
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CAR-T 细胞疗法已成功应用于临床,尤其用于多发性骨髓瘤(MM)等血液系统恶性肿瘤,但其广泛应用受到细胞因子释放综合征(CRS)这一可能危及生命的并发症限制。尽管已知CRS伴随代谢改变,但其发生、严重程度及相关代谢重塑的预测性生物标志物仍不明确,妨碍了主动临床管理。
本研究分析了19例接受CAR-T 治疗的复发/难治性MM患者的纵向血清代谢谱,并在另一个包含23例患者的独立队列中验证。
我们观察到精氨酸代谢失调随临床CRS进展而加重。在淋巴清除治疗前(第−5天),差异丰度代谢物中超过一半富集于不饱和脂肪酸(UFA)合成通路;这些通路仅在后来发生重度CRS的患者中上调。
此外,两种溶血磷脂酰胆碱,即lysoPC(16:0)和lysoPC(15:0),与CRS延迟发生显著相关;浓度升高与起病时间延长相关,且该关联经独立验证。研究结果显示,精氨酸代谢是CRS的病理轴线,UFA可预测严重程度,特定lysoPC可能调节起病时间。这些发现为主动管理CRS提供依据,弥补预测性生物标志物方面的关键缺口,推动CAR-T 在MM中的安全、广泛应用。
Chimeric antigen receptor T-cell (CAR-T) therapy has been successfully applied in clinical treatment, especially for hematologic malignancies such as multiple myeloma (MM), but its broad application is limited by cytokine release syndrome (CRS), a potentially life-threatening complication. Although metabolic alterations are known to accompany CRS, predictive biomarkers for its onset, severity, and associated metabolic remodeling remain unknown, hindering proactive clinical management.
Here, we analyzed longitudinal serum metabolic profiles from 19 patients with relapsed/refractory MM receiving CAR-T therapy, with validation in an independent cohort of 23 patients.
We observed dysregulated arginine metabolism that progressed alongside clinical CRS. At pre-lymphodepletion (Day-5), over half of differentially abundant metabolites were enriched in unsaturated fatty acid (UFA) synthesis pathways, which were exclusively upregulated in patients who later developed severe CRS.
Furthermore, two lysophosphatidylcholines, namely, lysoPC(16:0) and lysoPC(15:0), were significantly associated with delayed CRS onset, with elevated concentrations correlated with a prolonged time to onset; this association was independently validated.
These findings revealed that arginine metabolism was a pathological axis in CRS, UFAs were severity predictors, and specific lysoPCs were modulators of onset time. Collectively, they provide proactive CRS management, addressing critical gaps in predictive biomarkers to advance the safe, broad CAR-T application in MM.
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