Back

Porcine Left Atrial and Ventricular Thick Filaments Exhibit Distinct Resting Structures and Calcium-dependent Responses

Qi, L.; Landim-Vieira, M.; Flannagan, H.; Monroy, M.; Olaniyan, E. O.; Guo, M.; Gao, C.; Gong, H.; Nag, S.; Irving, T. C.; Ma, W.

2026-05-20 physiology
10.64898/2026.05.18.726029 bioRxiv
Show abstract

The heart maintains systemic perfusion through the coordinated function of its four chambers: the left and right atria and ventricles. Each chamber has distinct structural, functional, and molecular properties tailored to its role in circulation, which may result in chamber-specific differences in myofilament structure and regulation between atria and ventricles. To test this hypothesis, we employed muscle mechanics and X-ray diffraction to investigate functional and structural differences in porcine left atrial (LA) and left ventricular (LV) tissue. Here, we report the first X-ray diffraction study of atrial tissue, demonstrating that under resting conditions, myosin filaments in LA adopted a more ON-like, structurally distinct configuration compared with those in LV. Under contracting conditions, LV generated greater force and exhibited higher sinusoidal stiffness than LA across multiple calcium concentrations. LA showed faster kTR than in LV, with no calcium-dependence, in contrast to the calcium-dependence of kTR seen in LV. Structurally, the distinct myosin head configuration seen in the relaxed LA persisted during contraction. Furthermore, using the troponin inhibitor MYK-7660 to inhibit active contraction, we showed that, unlike LV, LA showed no direct calcium-dependent thick filament activation, reconciling discrepancies between fast rat and slow porcine ventricular myocardium regarding calciums role in thick filament regulation. Altogether, our study reveals that LA myosin filaments adopt a molecular architecture and regulatory mechanism distinct from their LV counterparts, suggesting that myosin filament structure and regulation have evolved differently to meet the unique functional demands of each cardiac chamber. Moreover, atrial disease is often associated with cardiomyopathy-related genetic variants, highlighting the atrial myocardium as an important therapeutic target and understanding atrial-specific regulatory mechanisms provides new insights into therapeutic strategies for atrial diseases.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
eLife
5422 papers in training set
Top 3%
14.3%
2
JACC: Clinical Electrophysiology
11 papers in training set
Top 0.1%
10.0%
3
Nature Communications
4913 papers in training set
Top 25%
7.1%
4
Frontiers in Physiology
93 papers in training set
Top 0.9%
4.3%
5
The Journal of Physiology
134 papers in training set
Top 0.2%
4.3%
6
Journal of General Physiology
56 papers in training set
Top 0.1%
3.6%
7
Circulation Research
39 papers in training set
Top 0.3%
3.6%
8
Communications Biology
886 papers in training set
Top 2%
3.6%
50% of probability mass above
9
Journal of Molecular and Cellular Cardiology
39 papers in training set
Top 0.3%
3.6%
10
Scientific Reports
3102 papers in training set
Top 37%
3.6%
11
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 25%
2.7%
12
iScience
1063 papers in training set
Top 10%
2.1%
13
Nature Cardiovascular Research
28 papers in training set
Top 0.2%
2.1%
14
American Journal of Physiology-Heart and Circulatory Physiology
32 papers in training set
Top 0.5%
1.9%
15
Journal of the American Heart Association
119 papers in training set
Top 3%
1.9%
16
Cell Reports
1338 papers in training set
Top 23%
1.8%
17
Cardiovascular Research
33 papers in training set
Top 0.5%
1.7%
18
Circulation
66 papers in training set
Top 2%
1.7%
19
Function
15 papers in training set
Top 0.2%
1.7%
20
Journal of Experimental Biology
249 papers in training set
Top 2%
1.5%
21
Science Advances
1098 papers in training set
Top 23%
1.2%
22
Matrix Biology
28 papers in training set
Top 0.2%
1.1%
23
Cell Reports Medicine
140 papers in training set
Top 6%
0.9%
24
EMBO reports
136 papers in training set
Top 5%
0.9%
25
PLOS ONE
4510 papers in training set
Top 64%
0.9%
26
Cells
232 papers in training set
Top 5%
0.9%
27
Journal of Cellular Physiology
21 papers in training set
Top 0.5%
0.9%
28
Journal of Cell Science
353 papers in training set
Top 2%
0.8%
29
Acta Physiologica
13 papers in training set
Top 0.2%
0.7%
30
Cellular and Molecular Life Sciences
84 papers in training set
Top 0.8%
0.7%