Metrics of high cofluctuation and entropy to describe control of cardiac function in the stellate ganglion.
Metrics of high cofluctuation and entropy to describe control of cardiac function in the stellate ganglion.
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DOI：
10.7554/elife.78520
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发表时间：
2022-11-25
期刊：
影响因子：
7.7
通讯作者：
Zaidi, Mone
中科院分区：
文献类型：
--
作者：
Gurel, Nil Z.;Sudarshan, Koustubh B.;Hadaya, Joseph;Karavos, Alex;Temma, Taro;Hori, Yuichi;Armour, J. Andrew;Kember, Guy;Ajijola, Olujimi A.;Zaidi, Mone
关键词：
胸内心脏控制系统内的星状神经节接收并整合中枢、外周和心肺信息以产生节后心脏交感神经输入。在心力衰竭（HF）的背景下，星状神经节（SG）的神经元内发生病理解剖和结构重塑。大部分SG神经元作为中间神经元发挥作用，其联网能力在很大程度上是未知的。目前的治疗局限于在心脏水平靶向交感神经活动或外科手术干预，如胸骨切开术，以治疗HF。未来针对SG的治疗将需要了解其网络功能，以修改任何病理性重塑。我们通过检查SG网络化活动与心动周期时相的协同波动和特异性来观察SG网络化。我们研究了慢性起搏诱导的HF猪和对照组在延长的体内细胞外微电极记录期间SG神经元群体的心肺转导的网络处理。我们发现，信息处理和心脏控制慢性HF的SG，相对于控制，表现出：（i）更频繁，短暂，高幅度的协同波动，（ii）更大的变化，在神经特异性心动周期，和（iii）神经网络活动和心脏控制的联系，取决于疾病状态和协同波动幅度。
Stellate ganglia within the intrathoracic cardiac control system receive and integrate central, peripheral, and cardiopulmonary information to produce postganglionic cardiac sympathetic inputs. Pathological anatomical and structural remodeling occurs within the neurons of the stellate ganglion (SG) in the setting of heart failure (HF). A large proportion of SG neurons function as interneurons whose networking capabilities are largely unknown. Current therapies are limited to targeting sympathetic activity at the cardiac level or surgical interventions such as stellectomy, to treat HF. Future therapies that target the SG will require understanding of their networking capabilities to modify any pathological remodeling. We observe SG networking by examining cofluctuation and specificity of SG networked activity to cardiac cycle phases. We investigate network processing of cardiopulmonary transduction by SG neuronal populations in porcine with chronic pacing-induced HF and control subjects during extended in-vivo extracellular microelectrode recordings. We find that information processing and cardiac control in chronic HF by the SG, relative to controls, exhibits: (i) more frequent, short-lived, high magnitude cofluctuations, (ii) greater variation in neural specificity to cardiac cycles, and (iii) neural network activity and cardiac control linkage that depends on disease state and cofluctuation magnitude.