A remarkable adaptive paradigm of heart performance and protection emerges in response to marked cardiac-specific overexpression of ADCY8

  1. Kirill V Tarasov
  2. Khalid Chakir
  3. Daniel R Riordon
  4. Alexey E Lyashkov
  5. Ismayil Ahmet
  6. Maria Grazia Perino
  7. Allwin Jennifa Silvester
  8. Jing Zhang
  9. Mingyi Wang
  10. Yevgeniya O Lukyanenko
  11. Jia-Hua Qu
  12. Miguel Calvo-Rubio Barrera
  13. Magdalena Juhaszova
  14. Yelena S Tarasova
  15. Bruce Ziman
  16. Richard Telljohann
  17. Vikas Kumar
  18. Mark Ranek
  19. John Lammons
  20. Rostislav Bychkov
  21. Rafael de Cabo
  22. Seungho Jun
  23. Gizem Keceli
  24. Ashish Gupta
  25. Dongmei Yang
  26. Miguel A Aon
  27. Luigi Adamo
  28. Christopher H Morrell
  29. Walter Otu
  30. Cameron Carroll
  31. Shane Chambers
  32. Nazareno Paolocci
  33. Thanh Huynh
  34. Karel Pacak
  35. Robert Weiss
  36. Loren Field
  37. Steven J Sollott
  38. Edward G Lakatta  Is a corresponding author
  1. Laboratory of Cardiovascular Science, National Institute on Aging, National Institutes of Health, United States
  2. Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, United States
  3. Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, United States
  4. Section on Medical Neuroendocrinology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
  5. Kraennert Institute of Cardiology, Indiana University School of Medicine, United States
13 figures and 2 additional files

Figures

Figure 1 with 1 supplement
Echocardiographic parameters and body weight of TGAC8 and WT mice.

(A–K), Echocardiographic parameters (N=28 for TGAC8; WT = 21); (L) heart weight/body weight at sacrifice (N=75 for TGAC8 and N=85 for WT). See Supplementary file 1a for additional Echo parameters. …

Figure 1—figure supplement 1
Representative images of echocardiograms.
Figure 2 with 1 supplement
Expression of pathologic hypertrophy markers and cardiac myocyte sizes in LV of TGAC8 and WT mice.

(A) WB of Pathologic hypertrophy markers, (B, C) cardiac myocyte cross-sectional areas and distributions of cardiac myocyte sizes in TGAC8 and WT hearts (cardiomyocytes were counted on left free …

Figure 2—source data 1

Raw unedited blot images and uncropped blot images of MYH7, α Sk.

Actin, ANP, BNP, and Calcineurin.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig2-data1-v2.zip
Figure 2—figure supplement 1
Representative LV sections, labeled with picrosirius red (A) and (B) average collagen density (picrosirius red labeling) in TGAC8 vs WT LV.

Scale bar 100 µm. N=37 high power fields of left free wall at the middle level from four WT mice. N=33 high power fields of left free wall at the middle level from four TGAC8 mice. Data are …

EdU labeling of cardiac tissue.

(A–G) representative examples of confocal images (400 x) of LV WGA (red), vimentin (Cyan), EdU (yellow), DAPI (blue), (H) average number of EdU-labeled nuclei positive field counts in LV TGAC8 vs WT …

Expression of molecules involved in AC/cAMP/PKA/Ca2+ signaling in LV of TGAC8 and WT mice.

(A) Representative examples of ADCY8 immunolabeling in TGAC8 and WT LV cardiomyocytes (scale bar 10 µm), (B) Average AC8 fluorescence in LV cardiomyocytes (N=3 animals per group; 60 cells for each …

Figure 4—source data 1

Raw unedited blot images and uncropped blot images of PKAca, PKAr, MYH6, SERCA2, LTCC, NCX1, CamKII.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig4-data1-v2.zip
Expression of proteins,involved in protein synthesis, degradation, and quality control in LV of TGAC8 and WT mice.

(A) Rate of global protein synthesis and (B–G) mechanisms downstream of PKA signaling involved in protein synthesis in the TGAC8 and WT. Data are presented as Mean± SEM. The statistical significance …

Figure 5—source data 1

Raw unedited blot images and uncropped blot images of Puromycin, CITED4, CREB1, MNK1, MSK1, GAPDH, pMEK1/2, p21 Ras, p-c-Raf, total Raf, total Mek 1/2, p-ERK 1/2 and total ERK 1/2.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig5-data1-v2.zip
Proteosome activity assay, accumulated proteins in soluble and insoluble fractions and expression levels of selected proteins involved in the autophagy process in LV of TGAC8 and WT mice.

(A) Proteosome activity assay and (B, C) accumulated proteins in soluble and insoluble fractions of LV lysates in TGAC8 vs WT. (D) WB of HSP90 in TGAC8 and WT, (E–H) Expression levels of selected …

Figure 6—source data 1

Raw unedited blot images and uncropped blot images of HSP90, ATG13, PARKIN, ATG4B, and PI3Kc3.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig6-data1-v2.zip
Mitochondrial structure and function.

(A, B) Representative panoramic electron micrographs (white arrows depict capillaries surrounding cardiac myocytes) and (C–F) higher resolution images of LV cardiac muscle fibers and mitochondria in …

Detection of ROS levels and NRF signaling in LV of TGAC8 and WT mice.

(A) LV performance and the rate of superoxide (ROS) generation in isolated working TGAC8 and WT hearts. (B) WB analysis of Nrf2 expression in LV TGAC8 vs WT. Differences between two groups were …

Figure 8—source data 1

Raw unedited blot images and uncropped blot images of NRF2.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig8-data1-v2.zip
High-energy phosphates in TGAC8 and WT hearts.

(A) A schematic of ATP creatine energy system, (B) Representative P31 NMR spectra of TGAC8 and WT hearts. (C–E) Average levels of ATP, PCr, and ATP/PCr in TGAC8 and WT hearts derived from NMR …

Figure 10 with 5 supplements
Summary of LV transcriptome and proteome analysis of TGAC8 and WT.

(A) Schematic of the total number of transcripts (subset ‘a’ – 11,810), and proteins (subset ‘b’ 6834), identified in LV lysates, the number of transcripts (subset ‘c’ 2323), and proteins (subset …

Figure 10—figure supplement 1
Volcano plots and heat maps of transcripts and proteins.
Figure 10—figure supplement 2
Spearman’s correlations of Z-scores of IPA canonical pathways that significantly differed by genotype in transcriptome and proteome.
Figure 10—figure supplement 3
IPA representation of top disease-related functions within the LV transcriptome and proteome of TGAC8 and WT.
Figure 10—figure supplement 4
Correlation plot of 544 identified molecules of which both transcripts and proteins differed by genotype.
Figure 10—figure supplement 5
PROTEOMAP.

Visualization of functional categories of the 544 proteins that differed by genotype. Four levels of functional tree consist of number of polygons. The areas of each polygon reflect genotypic …

Figure 11 with 1 supplement
Regulatory networks centered on adenylyl cyclase and protein kinase A signaling.

Gene families of proteins regulated by PKA ranged from transcription regulators, kinases, peptidases and other enzymes, transmembrane receptors, ion channels and other gene families. Canonical …

Figure 11—figure supplement 1
Myocardial catecholamine levels in LV of TGAC8 and WT.

(A) Pathway for catecholamine synthesis and breakdown; (B) Myocardial catecholamine levels (N=12 for each group, Data are presented as Mean± SEM. The statistical significance is indicated by * p<0.05…

Figure 12 with 3 supplements
Growth and metabolism.

A schematic of growth and metabolism circuitry based on signals derived from bioinformatic analyses of the transcriptome and proteome and on selected WBs. Catabolism of glucose is markedly increased …

Figure 12—figure supplement 1
WB analyses of selected proteins that mediate PIP3 kinase signaling and metabolism.

Data are presented as Mean± SEM. The statistical significance is indicated by * p<0.05, ** p<0.01, *** p<0.001, (two-tailed t test).

Figure 12—figure supplement 1—source data 1

Raw unedited blot images and uncropped blot images of AKT2, GAPDH, GPD1, GSK3b and HK1.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig12-figsupp1-data1-v2.zip
Figure 12—figure supplement 1—source data 2

Raw unedited blot images and uncropped blot images of LDHA, PDHA1, PDK1, PGD, PIK3CA and PTEN.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig12-figsupp1-data2-v2.zip
Figure 12—figure supplement 2
Detailed schematic malate-aspartate shuttle based on signals derived from bioinformatic analyses of the transcriptome and proteome and on selected WBs.
Figure 12—figure supplement 3
Representative examples of (A) ACACB immunolabeling of TGAC8 and WT LV myocytes (scale bar 10 µm); (B) average ACACB fluorescence in LV cardiomyocytes (n=25 for each group); (C) Relative Quantification of Acaca mRNA expression in LV tissue (n=4 for each group).

Data are presented as Mean± SEM. The statistical significance is indicated by * p<0.05, **** p<0.0001 (two-tailed t test).

Figure 13 with 9 supplements
Schematic of TGAC8 heart performance and protection circuits that appeared to be concurrently engaged in the TGAC8 LV.

The pathways/specific targets and the effector functions/outcomes culminating from the regulation of the components within the circuits in the pathways are represented according to published …

Figure 13—figure supplement 1
WB analyses of selected proteins within the performance and protection circuitry depicted in Figure 13.

Negative feedback adaptations on AC/PKA signaling.Data are presented as Mean± SEM. The statistical significance is indicated by * p<0.05, ** p<0.01, *** p<0.001, **** p<0.0001 (two-tailed t test).

Figure 13—figure supplement 1—source data 1

Raw unedited blot images and uncropped blot images of PDE4B, PDE4D, PP1, PP2A, PP2B.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig13-figsupp1-data1-v2.zip
Figure 13—figure supplement 1—source data 2

Raw unedited blot images and uncropped blot images of PP2B, DARPP-32, PDE3A, PDE4A.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig13-figsupp1-data2-v2.zip
Figure 13—figure supplement 2
WB analysis of selected proteins involved in Jak/Stat/Jnk/Caspase signaling.

Data are presented as Mean± SEM. The statistical significance is indicated by * p<0.05, ** p<0.01 (two-tailed t test).

Figure 13—figure supplement 2—source data 1

Raw unedited blot images and uncropped blot images of Caspase3, Cleaved Caspase3, Cleaved PARP, pFoxO1 (Ser256), GAPDH, HIF1α, JAK2 (Tyr1007/Tyr1008), pCREB (Ser133), pJNK (Thr183/Tyr185), pSTAT3 (Tyr705), total CREB, total FoxO1, total JAK2, total JNK, and total STAT3.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig13-figsupp2-data1-v2.zip
Figure 13—figure supplement 3
WB analysis of selected proteins involved in angiotensin receptor signaling Data are presented as Mean± SEM.

The statistical significance is indicated by * p<0.05, ** p<0.01, *** p<0.001, **** p<0.0001 (two-tailed t test).

Figure 13—figure supplement 3—source data 1

Raw unedited blot images and uncropped blot images of ACE2, AGTR1, AGTR2, and MAS1.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig13-figsupp3-data1-v2.zip
Figure 13—figure supplement 4
WB analysis of Calnexin and Calreticulin, proteins involved in ER protein processing Data are presented as Mean± SEM.

The statistical significance is indicated by * p<0.05, ** p<0.01 (two-tailed t test).

Figure 13—figure supplement 4—source data 1

Raw unedited blot images and uncropped blot images of CALR and CNX.

https://cdn.elifesciences.org/articles/80949/elife-80949-fig13-figsupp4-data1-v2.zip
Figure 13—figure supplement 5
RT-qPCR analysis of genes regulating cytokines level in the LV.

The statistical significance is indicated by * p<0.05, ** p<0.01.

Figure 13—figure supplement 6
Cytokine levels measured from heart tissue lysates.

The statistical significance is indicated by * p<0.05.

Figure 13—figure supplement 7
LV tissue staining for apoptosis and glycogen.

Scale bar 100 µm.

Figure 13—figure supplement 8
Periostin levels detected in TGAC8 vs WT LV (growth factor quantibody array).

Data are presented as Mean± SEM (two-tailed t test).

Figure 13—figure supplement 9
SPRR1A signaling network and Immunolabeling of SPRR1A.

(A) SPRR1A signaling network, (B) Immunolabeling of SPRR1A in isolated LV myocytes, and (C) WB analysis of RTN4 expression. Data are presented as Mean± SEM. The statistical significance is indicated …

Additional files

Supplementary file 1

List of: Echo parameters, transcripts and proteins, canonical pathways, cardiovascular disease-related functions within the LV transcriptome and proteome of TGAC8 and WT, RT-qPCR primers and a antibodies used in current study.

(a) List of Echo parameters recorded in TGAC8 heart vs WT. (b) A Listing of all 11810 identified transcripts. (c) A listing of 2323 transcripts that significantly differed in expression by genotype. (d) A listing of all 6834 identified proteins. (e) A listing of 2184 proteins that significantly differed in expression by genotype. (f) A listing of canonical pathways in IPA analysis of the total number of transcripts. (g) A listing of canonical pathways in IPA analysis of the total number of proteins that were differentially enriched or activated in TGAC8 vs WT. (h) A listing of molecules with indication of involvement in number of pathways. (i) A listing of 544 molecules of which both transcripts and proteins differed by genotype. (j) A listing of canonical pathways that were differentially enriched by genotype in IPA analysis of 544 transcripts and proteins. (k) A Complete list of downstream effects of enriched canonical signaling pathways in TGAC8, depicted on Figure 10. (l) RT-qPCR analysis of selected transcripts related to G-protein Coupled Receptor Signaling, that differed by genotype in RNASEQ. (m) Transcripts and proteins involved in Cell Cycle/Cell Proliferation, and Growth and Developmental Circuits that differed between TGAC8 vs WT. (n) IPA representation of top cardiovascular disease-related functions within the LV transcriptome of TGAC8 and WT. (o) IPA representation of top cardiovascular disease-related functions within the LV proteome of TGAC8 and WT. (p) Primers used in RT-qPCR analyses. (q) Antibodies used in WB analyses, antibody arrays and immunostaining.

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