000132288 001__ 132288
000132288 005__ 20241125101154.0
000132288 0247_ $$2doi$$a10.3389/fphys.2023.1189464
000132288 0248_ $$2sideral$$a137382
000132288 037__ $$aART-2023-137382
000132288 041__ $$aeng
000132288 100__ $$aCelotto, Chiara$$uUniversidad de Zaragoza
000132288 245__ $$aThe frequency of atrial fibrillatory waves is modulated by the spatiotemporal pattern of acetylcholine release: a 3D computational study
000132288 260__ $$c2023
000132288 5060_ $$aAccess copy available to the general public$$fUnrestricted
000132288 5203_ $$aIn atrial fibrillation (AF), the ECG P-wave, which represents atrial depolarization, is replaced with chaotic and irregular fibrillation waves (f waves). The f-wave frequency, Ff, shows significant variations over time. Cardiorespiratory interactions regulated by the autonomic nervous system have been suggested to play a role in such variations. We conducted a simulation study to test whether the spatiotemporal release pattern of the parasympathetic neurotransmitter acetylcholine (ACh) modulates the frequency of atrial reentrant circuits. Understanding parasympathetic involvement in AF may guide more effective treatment approaches and could help to design autonomic markers alternative to heart rate variability (HRV), which is not available in AF patients. 2D tissue and 3D whole-atria models of human atrial electrophysiology in persistent AF were built. Different ACh release percentages (8% and 30%) and spatial ACh release patterns, including spatially random release and release from ganglionated plexi (GPs) and associated nerves, were considered. The temporal pattern of ACh release, ACh(t), was simulated following a sinusoidal waveform of frequency 0.125 Hz to represent the respiratory frequency. Different mean concentrations (ACh̄) and peak-to-peak ranges of ACh (ΔACh) were tested. We found that temporal variations in Ff, Ff(t), followed the simulated temporal ACh(t) pattern in all cases. The temporal mean of Ff(t), F̄f, depended on the fibrillatory pattern (number and location of rotors), the percentage of ACh release nodes and ACh̄. The magnitude of Ff(t) modulation, ΔFf, depended on the percentage of ACh release nodes and ΔACh. The spatial pattern of ACh release did not have an impact on F̄f and only a mild impact on ΔFf. The f-wave frequency, being indicative of vagal activity, has the potential to drive autonomic-based therapeutic actions and could replace HRV markers not quantifiable from AF patients.
000132288 536__ $$9info:eu-repo/grantAgreement/ES/DGA/LMP141-21$$9info:eu-repo/grantAgreement/ES/DGA/LMP94_21$$9info:eu-repo/grantAgreement/ES/DGA/T39-23R$$9info:eu-repo/grantAgreement/EC/H2020/766082/EU/MultidisciplinarY training network for ATrial fibRillation monItoring, treAtment and progression/MY-ATRIA$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 766082-MY-ATRIA$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-104881RB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-105674RB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-140556OB-I00$$9info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130459B-I00
000132288 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000132288 590__ $$a3.2$$b2023
000132288 592__ $$a1.006$$b2023
000132288 591__ $$aPHYSIOLOGY$$b24 / 85 = 0.282$$c2023$$dQ2$$eT1
000132288 593__ $$aPhysiology (medical)$$c2023$$dQ2
000132288 593__ $$aPhysiology$$c2023$$dQ2
000132288 594__ $$a6.5$$b2023
000132288 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000132288 700__ $$0(orcid)0000-0003-4273-5403$$aSánchez, Carlos$$uUniversidad de Zaragoza
000132288 700__ $$aAbdollahpur, Mostafa
000132288 700__ $$aSandberg, Frida
000132288 700__ $$aRodriguez Matas, Jose F.
000132288 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000132288 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, Esther$$uUniversidad de Zaragoza
000132288 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000132288 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000132288 773__ $$g14 (2023), [18 pp.]$$pFront. physiol.$$tFrontiers in physiology$$x1664-042X
000132288 8564_ $$s668505$$uhttps://zaguan.unizar.es/record/132288/files/texto_completo.pdf$$yVersión publicada
000132288 8564_ $$s2266559$$uhttps://zaguan.unizar.es/record/132288/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000132288 909CO $$ooai:zaguan.unizar.es:132288$$particulos$$pdriver
000132288 951__ $$a2024-11-22-12:08:27
000132288 980__ $$aARTICLE