Abnormal global longitudinal strain and reduced serum inflammatory markers in cardiac AL amyloidosis patients without significant amyloid fibril deposition

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Edwards, Camille V.;Ferri, Grace M.;Villegas-Galaviz, Josue;Ghosh, Sabrina;Bawa, Pushpinder Singh;Wang, Feiya;Klimtchuk, Elena;Ajayi, Tinuola B.;Morgan, Gareth J.;Prokaeva, Tatiana;Staron, Andrew;Ruberg, Frederick L.;Sanchorawala, Vaishali;Giadone, Richard M.;Murphy, George J.

Description

Cardiac dysfunction in AL amyloidosis is thought to be partly related to the direct impact of AL LCs on cardiomyocyte function, with the degree of dysfunction at diagnosis as a major determinant of clinical outcomes. Nonetheless, mechanisms underlying LC-induced myocardial toxicity remain unclear. We identified gene expression changes correlating with human cardiac cell exposure to cardiomyopathy-associated AL LCs. We then confirmed these findings in a clinical dataset focusing on clinical parameters associated with pathways dysregulated at the gene expression level. Upon exposure to cardiomyopathy-associated AL LCs, cardiac cells exhibited gene expression changes related to myocardial contractile function and inflammation, leading us to hypothesise that there could be clinically detectable changes in global longitudinal strain (GLS) on echocardiogram and serum inflammatory markers in patients. Thus, we identified 29 patients with normal interventricular septum diameter (IVSd) but abnormal cardiac biomarkers, suggestive of LC-induced cardiac dysfunction. These patients display early cardiac biomarker staging, abnormal GLS, and significantly reduced serum inflammatory markers compared to patients with clinically evident amyloid fibril deposition. Collectively, our findings highlight early molecular and functional signatures of cardiac AL amyloidosis, with potential impact for developing improved patient biomarkers and novel therapeutics.

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Metrics

Dataset Index

0.8

FAIR Score

85%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Oncology

Field

Medicine

Domain

Health Sciences

Confidence Score

62%

Source

Scholar Data Model

Keywords

BiophysicsMedicineCell BiologyGeneticsFOS: Biological sciencesPhysiologyImmunologyFOS: Clinical medicineInformation Systems not elsewhere classifiedDevelopmental BiologyCancerHematology

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00