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肌酸激酶(CK 通量)转运 ATP 的代谢率可预测临床心力衰竭事件和死亡。

Metabolic rates of ATP transfer through creatine kinase (CK Flux) predict clinical heart failure events and death.

机构信息

Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

出版信息

Sci Transl Med. 2013 Dec 11;5(215):215re3. doi: 10.1126/scitranslmed.3007328.

Abstract

Morbidity and mortality from heart failure (HF) are high, and current risk stratification approaches for predicting HF progression are imperfect. Adenosine triphosphate (ATP) is required for normal cardiac contraction, and abnormalities in creatine kinase (CK) energy metabolism, the primary myocardial energy reserve reaction, have been observed in experimental and clinical HF. However, the prognostic value of abnormalities in ATP production rates through CK in human HF has not been investigated. Fifty-eight HF patients with nonischemic cardiomyopathy underwent ³¹P magnetic resonance spectroscopy (MRS) to quantify cardiac high-energy phosphates and the rate of ATP synthesis through CK (CK flux) and were prospectively followed for a median of 4.7 years. Multiple-event analysis (MEA) was performed for HF-related events including all-cause and cardiac death, HF hospitalization, cardiac transplantation, and ventricular-assist device placement. Among baseline demographic, clinical, and metabolic parameters, MEA identified four independent predictors of HF events: New York Heart Association (NYHA) class, left ventricular ejection fraction (LVEF), African-American race, and CK flux. Reduced myocardial CK flux was a significant predictor of HF outcomes, even after correction for NYHA class, LVEF, and race. For each increase in CK flux of 1 μmol g⁻¹ s⁻¹, risk of HF-related composite outcomes decreased by 32 to 39%. These findings suggest that reduced CK flux may be a potential HF treatment target. Newer imaging strategies, including noninvasive ³¹P MRS that detect altered ATP kinetics, could thus complement risk stratification in HF and add value in conditions involving other tissues with high energy demands, including skeletal muscle and brain.

摘要

心力衰竭(HF)的发病率和死亡率很高,目前用于预测 HF 进展的风险分层方法并不完善。三磷酸腺苷(ATP)是正常心脏收缩所必需的,在实验性和临床 HF 中已经观察到肌酸激酶(CK)能量代谢的异常,这是主要的心肌能量储备反应。然而,CK 能量代谢中 ATP 生成率异常对人类 HF 的预后价值尚未得到研究。58 例非缺血性心肌病 HF 患者接受 ³¹P 磁共振波谱(MRS)检查,以定量心脏高能磷酸化合物和 CK (CK 通量)通过 CK 合成 ATP 的速率,并前瞻性随访中位数为 4.7 年。对 HF 相关事件(包括全因死亡和心脏死亡、HF 住院、心脏移植和心室辅助装置放置)进行多事件分析(MEA)。在基线人口统计学、临床和代谢参数中,MEA 确定了 HF 事件的四个独立预测因素:纽约心脏协会(NYHA)分级、左心室射血分数(LVEF)、非裔美国人种族和 CK 通量。心肌 CK 通量降低是 HF 结局的一个重要预测因素,即使在校正 NYHA 分级、LVEF 和种族后也是如此。CK 通量每增加 1μmol g⁻¹ s⁻¹,HF 相关复合结局的风险就会降低 32%至 39%。这些发现表明,降低 CK 通量可能是 HF 的潜在治疗靶点。包括无创 ³¹P MRS 在内的新型成像策略可检测到改变的 ATP 动力学,因此可补充 HF 的风险分层,并在涉及其他高能量需求组织的情况下(包括骨骼肌和大脑)增加价值。

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