Vagal volume receptors in the heart compensate for blood loss and posture change

Cranial nerves densely innervate the heart and vasculature, with sensory neurons reporting on blood pressure, respiratory gases, and tissue damage <sup>1</sup> . The roles of arterial baroreceptors in systemic physiology are well appreciated <sup>2</sup> , but the functions of vagal cardiac mechanoreceptors have been more difficult to parse, in part due to the closed-loop structure of the cardiovascular system. Here, we use genetic tools for isolated study of vagal mechanoreceptors in the heart, finding that they are acutely sensitive to circulating blood volume and play key roles in compensating for decreased filling of the heart that occurs in an upright posture and during hemorrhage. Vagal PIEZO2 neurons form characteristic end-net endings in the heart and display blood volume-dependent responses with every heartbeat that are timelocked to atrial and ventricular systole. Vagal PIEZO2 knockout eliminates heartbeatcoupled nerve activity, and compromises carotid blood pressure when mice on a tilttable are rotated to an upright position. Vagal PIEZO2 knockout mice also display a lethal failure to sustain blood pressure during trauma-induced blood loss. Together, these findings demonstrate an essential function for vagal cardiac mechanoreceptors in sustaining the constancy of blood circulation.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2025-12-05
DOI
https://doi.org/10.64898/2025.12.05.692432
Primary Topic
Neuroscience of respiration and sleep
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vagal volume receptors in the heart compensate for blood loss and posture change

AbdulRasheed A. Alabi, Maša Josipović, Soohong Min, Stephen D. Liberles et al.
bioRxiv (Cold Spring Harbor Laboratory)
Neuroscience of respiration and sleep
article

Vagal volume receptors in the heart compensate for blood loss and posture change

AbdulRasheed A. Alabi, Maša Josipović, Soohong Min, Stephen D. Liberles, Shan Lu, Jingyi Chi, Minseon Kim, Zhikai Liu, Isabela A. Haskell
article en

Abstract

Cranial nerves densely innervate the heart and vasculature, with sensory neurons reporting on blood pressure, respiratory gases, and tissue damage <sup>1</sup> . The roles of arterial baroreceptors in systemic physiology are well appreciated <sup>2</sup> , but the functions of vagal cardiac mechanoreceptors have been more difficult to parse, in part due to the closed-loop structure of the cardiovascular system. Here, we use genetic tools for isolated study of vagal mechanoreceptors in the heart, finding that they are acutely sensitive to circulating blood volume and play key roles in compensating for decreased filling of the heart that occurs in an upright posture and during hemorrhage. Vagal PIEZO2 neurons form characteristic end-net endings in the heart and display blood volume-dependent responses with every heartbeat that are timelocked to atrial and ventricular systole. Vagal PIEZO2 knockout eliminates heartbeatcoupled nerve activity, and compromises carotid blood pressure when mice on a tilttable are rotated to an upright position. Vagal PIEZO2 knockout mice also display a lethal failure to sustain blood pressure during trauma-induced blood loss. Together, these findings demonstrate an essential function for vagal cardiac mechanoreceptors in sustaining the constancy of blood circulation.

bioRxiv (Cold Spring Harbor Laboratory)
Harvard University (US)
Openalex Percentile: Top 60%
Neuroscience of respiration and sleep
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.