Post-translational modification patterns on β-myosin heavy chain are altered in ischemic and nonischemic human hearts

  1. Maicon Landim-Vieira
  2. Matthew C Childers
  3. Amanda L Wacker
  4. Michelle Rodriquez Garcia
  5. Huan He
  6. Rakesh Singh
  7. Elizabeth A Brundage
  8. Jamie R Johnston
  9. Bryan A Whitson
  10. P Bryant Chase
  11. Paul ML Janssen
  12. Michael Regnier
  13. Brandon J Biesiadecki
  14. J Renato Pinto
  15. Michelle S Parvatiyar  Is a corresponding author
  1. Department of Biomedical Sciences, College of Medicine, The Florida State University, United States
  2. Department of Bioengineering, College of Medicine, University of Washington, United States
  3. Department of Nutrition and Integrative Physiology, The Florida State University, United States
  4. Translational Science Laboratory, College of Medicine, The Florida State University, United States
  5. Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, United States
  6. Department of Surgery, College of Medicine, The Ohio State University, United States
  7. Department of Biological Science, The Florida State University, United States

Decision letter

  1. Christopher L-H Huang
    Reviewing Editor; University of Cambridge, United Kingdom
  2. Matthias Barton
    Senior Editor; University of Zurich, Switzerland
  3. Stuart Campbell
    Reviewer; Yale School of Engineering & Applied Sciences, United States

Our editorial process produces two outputs: i) public reviews designed to be posted alongside the preprint for the benefit of readers; ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Decision letter after peer review:

Thank you for submitting your article "Post-translational modification patterns on β-myosin heavy chain are altered in ischemic and non-ischemic human hearts" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by a Senior Editor. The following individual involved in review of your submission has agreed to reveal their identity: Stuart Campbell (Reviewer #3).

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this letter to help you prepare a revised submission.

Essential revisions:

(A) General alterations requested.

(1) Both reviewers 2 and 3 are positive about the paper but both indicate a need for shortening of the paper.

(2) In particular reviewer 2,

although:

(a) generally positive in stating that the paper (i) represents an enormous amount of work on identifying modifications of the major cardiac motor protein β, myosin in the failing and non-failing human heart, and (ii) tackles an important understudied problem of PTMs in the human β cardiac myosin protein.

However,

(b) flags up the point that much of the material might rather go to a more specialized journal. On discussion, reviewer 2 specifically requests clarification why the findings should be of interest to readers of the broader remit represented by eLife.

(3) Reviewer (2):

Considers that this is a thought-provoking study using an appealing strategy. Human samples increase the disease relevance and mass spectrometry here yields novel discoveries. Molecular dynamics modeling is used to speculate on the relative functional impact of each PTM. The novel PTM sites identified in this work are exciting and should stimulate and inspire other work in the field.

(B) Specific alterations requested:

1) Reviewer 2:

a) There is a lot of information in this very long (too long in my opinion) right now, its utility is unknown. The PTMs are very rare on this molecule and there are not enough samples to have much power (even though I know how hard it is to get samples).

b) The authors also make several statements about how MYH6 or α myosin is induced in human heart failure. To the best of my knowledge, the opposite is what happens in human heart failure.

2) Reviewer 3:

a) I found it very difficult to understand the way in which PTM abundance was presented. It was not clear what the overall percentage of PTM is for a given site, e.g. in a failing heart, what percentage of myosin K951 residues are acetylated? The first paragraph of the discussion states that "phosphorylation and acetylation PTMs are present on β-MHC in non-diseased human hearts in low abundance." Is it not possible to determine what fraction of a particular peptide is modified? Otherwise, why would the authors state that PTMs are "low abundance" (first paragraph of the discussion)? Furthermore, if this information has been obtained, why would it not be clearly represented in the manuscript? It seems as though the quantification of PTMs is shown only relative to IRP.

b) Similarly, the PTM to IRP ratio is also confusing in that the stated range is 1-14. Does this mean that it is not possible for PTM abundance to be less than the IRP? Why not?

c). The authors mention that one way to interpret the loss of K951 acetylation in failing hearts is that there is a shift toward α-MHC. Perhaps it was outside the scope of the study, but was there no way of testing this hypothesis in some way?

d). The discussion is, in my view, far too long and wide-ranging. Some of the logic presented is also challenging. For instance, the PTMs discussed are shown to be more abundant in normal than in failing hearts. Yet, the authors draw parallels between the sites for the PTMs and the locations of cardiomyopathy-causing mutations. It seems strange to associate sites of "normal" PTMs with the locations of disease-causing mutations. Overall, the discussion is far longer than would normally be expected for the corresponding significant results, which really focused just on K951. My recommendation would be to focus the discussion drastically, state the most meaningful findings very clearly, and help the reader grasp the real significance of the work.

Reviewer #2 (Recommendations for the authors):

This paper tackles an important understudied problem of PTMs in the human β cardiac myosin protein. The authors found acetylation sites and phosphorylation sites and used molecular dynamics simulations to predict the impacts of these PTMs on myosin function.

There is a lot of information in this very long (too long in my opinion) right now, its utility is unknown. The PTMs are very rare on this molecule and there are not enough samples to have much power (even though I know how hard it is to get samples).

The authors also make several statements about how MYH6 or α myosin is induced in human heart failure. To the best of my knowledge, the opposite is what happens in human heart failure.

I think this information may be better suited for a more specialized audience and journal.

Reviewer #3 (Recommendations for the authors):

This is a thought-provoking study that makes use of an appealing strategy. Human samples increase the disease relevance of the work, and mass spectrometry has been used here to yield novel discoveries. Molecular dynamics modeling is used to speculate on the relative functional impact of each PTM. The novel PTM sites identified in this work are exciting and should stimulate and inspire other work in the field.

Some suggestions for improving the work are given below.

1. I found it very difficult to understand the way in which PTM abundance was presented. It was not clear what the overall percentage of PTM is for a given site, e.g. in a failing heart, what percentage of myosin K951 residues are acetylated? The first paragraph of the discussion states that "phosphorylation and acetylation PTMs are present on β-MHC in non-diseased human hearts in low abundance." Is it not possible to determine what fraction of a particular peptide is modified? Otherwise, why would the authors state that PTMs are "low abundance" (first paragraph of the discussion)? Furthermore, if this information has been obtained, why would it not be clearly represented in the manuscript? It seems as though the quantification of PTMs is shown only relative to IRP.

2. Similarly, the PTM to IRP ratio is also confusing in that the stated range is 1-14. Does this mean that it is not possible for PTM abundance to be less than the IRP? Why not?

3. The authors mention that one way to interpret the loss of K951 acetylation in failing hearts is that there is a shift toward α-MHC. Perhaps it was outside the scope of the study, but was there no way of testing this hypothesis in some way?

4. The discussion is, in my view, far too long and wide-ranging. Some of the logic presented is also challenging. For instance, the PTMs discussed are shown to be more abundant in normal than in failing hearts. Yet, the authors draw parallels between the sites for the PTMs and the locations of cardiomyopathy-causing mutations. It seems strange to associate sites of "normal" PTMs with the locations of disease-causing mutations. Overall, the discussion is far longer than would normally be expected for the corresponding significant results, which really focused just on K951. My recommendation would be to focus the discussion drastically, state the most meaningful findings very clearly, and help the reader grasp the real significance of the work.

https://doi.org/10.7554/eLife.74919.sa1

Author response

Essential revisions:

(A) General alterations requested.

(1) Both reviewers 2 and 3 are positive about the paper but both indicate a need for shortening of the paper.

(2) In particular reviewer 2,

although:

(a) generally positive in stating that the paper (i) represents an enormous amount of work on identifying modifications of the major cardiac motor protein β, myosin in the failing and non-failing human heart, and (ii) tackles an important understudied problem of PTMs in the human β cardiac myosin protein.

However,

(b) flags up the point that much of the material might rather go to a more specialized journal. On discussion, reviewer 2 specifically requests clarification why the findings should be of interest to readers of the broader remit represented by eLife.

Please see our comments for Reviewer 2, pt. c.

(3) Reviewer (2):

Considers that this is a thought-provoking study using an appealing strategy. Human samples increase the disease relevance and mass spectrometry here yields novel discoveries. Molecular dynamics modeling is used to speculate on the relative functional impact of each PTM. The novel PTM sites identified in this work are exciting and should stimulate and inspire other work in the field.

We thank the editors and the expert reviewers for giving us the opportunity to further improve our manuscript. We have made significant changes in the manuscript by carefully following the reviewers’ suggestions and comments. In addition, we clarified the reasons why we chose eLife to submit our exciting study and why the manuscript (in its present form) should engage a broad audience. New sentences (in blue) were added throughout results and discussion to improve the flow of the manuscript after it was substantially shortened.

(B) Specific alterations requested:

1) Reviewer 2:

a) There is a lot of information in this very long (too long in my opinion) right now, its utility is unknown. The PTMs are very rare on this molecule and there are not enough samples to have much power (even though I know how hard it is to get samples).

We agree with the reviewer that our manuscript was very long. To address the reviewer’s concern, we have revised and shortened the manuscript substantially without affecting the quality of our study. The length of the results was cut by approximately 17% (orig. 9 pages and now 7 ½) and the discussion by 40% (orig. 9 pages and now 5 pages).

We appreciate your comments and acknowledgement of the difficulty in obtaining samples. We also wish we could have obtained more samples, especially for the PTMs that had a large variation in values. These variations could result from several causes and more samples may have allowed us to realize additional significant results.

b) The authors also make several statements about how MYH6 or α myosin is induced in human heart failure. To the best of my knowledge, the opposite is what happens in human heart failure.

We thank the reviewer for pointing it out. We will concur that this is a misstatement. We regret the mistake, and the above statement has been removed from the text in the discussion.

2) Reviewer 3:

a) I found it very difficult to understand the way in which PTM abundance was presented. It was not clear what the overall percentage of PTM is for a given site, e.g. in a failing heart, what percentage of myosin K951 residues are acetylated? The first paragraph of the discussion states that "phosphorylation and acetylation PTMs are present on β-MHC in non-diseased human hearts in low abundance." Is it not possible to determine what fraction of a particular peptide is modified? Otherwise, why would the authors state that PTMs are "low abundance" (first paragraph of the discussion)? Furthermore, if this information has been obtained, why would it not be clearly represented in the manuscript? It seems as though the quantification of PTMs is shown only relative to IRP.

The PTM abundance was reported as normalized to IRP (internal reference peptide) and not as the percentage of occupancy of a given site. Because the ionization efficiencies of acetylated/phosphorylated peptides are different from the unmodified peptides, we ended up not using the AUC (area under curve) data to calculate the percentage of occupancy. We could have done quantifications in this study but based upon the differences in ionization efficiencies these numerical determinations would not be highly accurate. Instead, we normalized the peptides with PTM to IRP so that we can compare the relative abundance (occurrence) of PTM across all samples. We modified the manuscript to further clarify that we reported the data in this manner. We found one confusing statement (on page 26 of the submitted manuscript) that referred to % occupancy and removed it because we are not able to accurately make these determinations.

Please find Author response table 1 of area under the curve calculations below that show how the normalization of modified to IRP were made. There were no negative values generated.

Author response table 1
K34WTISC HFNON-ISC HFIRPWTISC HFNON-ISC HF
17124332837933984123456288379512135683546837401636720361472WTISC HFNON-ISC HF
3044864004744357762548834883083519385624838664192282846863364.512196410.4863563.36206625
1370562884744357762548834883318975877622171635712325633310729.874638719.1006969.011359892
868551601367851041005087043054454988838021373952372360396804.12947523.27256291.374162978
2.84355673.59758452.699231843
AVG5.339979.11434.111705241
K58WTISC HFNON-ISC HFIRPWTISC HFNON-ISC HF
35637110495448224426329504379512135683546837401636720361472WTISC HFNON-ISC HF
414622496583876443386178563083519385624838664192282846863369.39024262.691079811.61016632
8714936856710632866200233189758976221716357123256333107213.4464052.35067570.233004789
80678968142589216711014323054454988838021373952372360396802.62579092.55820690.266004789
2.6413543.75023841.909478898
AVG7.025952.837556.439355856
S210WTISC HFNON-ISC HFIRPWTISC HFNON-ISC HF
379877363029264432893104379512135683546837401636720361472WTISC HFNON-ISC HF
14924676829204212383789923083519385624838664192292846863361.00096240.85407480.895772881
3582028027507396543576323318975897622171635712325633310724.84014371.17575611.356882362
2500887218092996450571963054454988838021373952372360396801.0792571.2406571.669289664
0.81876710.47586381.210004265
AVG1.934780.936591.282006889
Y215WTISC HFNON-ISC HFIRPWTISC HFNON-ISC HF
583063606039762463556984379512135683546837401636720361472WTISC HFNON-ISC HF
21447388843148672609148963083519385624838664192282846863361.53635031.70285861.730837646
40785388876148243318975897622171635712325633310726.95549021.73715752.153635196
1100631.550358960735741283054454988838021373952372260396801.839532.69059771
0.03603361.32449081.975884886
AVG2.842621.651012.137738859
K429WTISC HFNON-ISC HFIRPWTISC HFNON-ISC HF
383197446654272034278128379512135683546837401636720361472WTISC HFNON-ISC HF
3996252831968566250585883083519385624828664192282846863361.00971061.87611420.933491029
3057771829568352338883643318975897622171635712325633310721.29600381.28704850.885941873
2653174832985240308072463054454988838021373952372360396800.92129981.33361171.040690952
0.86862460.86754470.82735023
AVG1.023911.341080.921868521
K951WTISC HFNON-ISC HFIRPWTISC HFNON-ISC HF
554000765156454688274431584379512135683546837401636720361472WTISC HFNON-ISC HF
43127568010407809625446500830835193856248386641922828468633614.5977094.4111047.473555345
59453043214349184015087072033189758976221716357123256333107213.9864754.19016488.996564607
334659520210390240448039803.05446E+11380213739523723603968017.9130696.47186534.633147624
10.956445.53347281.203242353
AVG14.36345.151655.576627007
K1195WTISC HFNON-ISC HFIRPWTISC HFNON-ISC HF
772333843078283620483700379512135683546837401636720361472WTISC HFNON-ISC HF
9098412870924552591258323083519385624838664192282846863362.03507020.86789530.557829476
4430414416460342295193243318975897622171635712325633310722.95065852.85540932.09038316
64847704116297014238266523054456988838021373952372360396801.33487390.74240540.906520403
2.12305320.30587271.138215889
AVG2.110911.19291.173237232

b) Similarly, the PTM to IRP ratio is also confusing in that the stated range is 1-14. Does this mean that it is not possible for PTM abundance to be less than the IRP? Why not?

Yes, the PTM abundance could be less than the IRP. We performed calculations of PTM relative quantification based on its ratio to IRP and the reported range of 1-14 is what we have observed. The ratio depends on the abundance of PTM relative to IRP.

c). The authors mention that one way to interpret the loss of K951 acetylation in failing hearts is that there is a shift toward α-MHC. Perhaps it was outside the scope of the study, but was there no way of testing this hypothesis in some way?

While this statement is accurate in context with the shifts that occur in mouse hearts which has a different dominant isoform, a-MHC (mouse) and b-MHC (human) the upregulation of a-MHC in human heart failure does not occur as stated. Therefore, we removed these several statements from the text regarding an isoform switch. A more likely scenario underlying the reduction of K951-Ac in failing hearts is upregulation of HDACs in ischemic and non-ischemic heart failure, which has been documented by a number of groups.

d). The discussion is, in my view, far too long and wide-ranging. Some of the logic presented is also challenging. For instance, the PTMs discussed are shown to be more abundant in normal than in failing hearts. Yet, the authors draw parallels between the sites for the PTMs and the locations of cardiomyopathy-causing mutations. It seems strange to associate sites of "normal" PTMs with the locations of disease-causing mutations. Overall, the discussion is far longer than would normally be expected for the corresponding significant results, which really focused just on K951. My recommendation would be to focus the discussion drastically, state the most meaningful findings very clearly, and help the reader grasp the real significance of the work.

We agree with the reviewer that our manuscript was very long. To address the reviewer’s concern, we have revised and shortened the manuscript substantially without affecting the quality of our study. The length of the results was cut by approximately 17% (orig. 9 pages and now 7 ½) and the discussion by 40% (orig. 9 pages and now 5 pages).

Our inclusion of a Table of CM mutation was intended to demonstrate importance of altering interactions/function of these regions due to inclusion of a PTM at that site. It is intended to be merely correlative; we understand your concern about including this data for “normal” PTMs, but in our view the PTMs may represent a “gain-of-function” or promote enhanced contractility –

We shortened but also rearranged the discussion so that it is now organized in a way that emphasized our major findings and highlighting the real significance of the work.

Reviewer #2 (Recommendations for the authors):

This paper tackles an important understudied problem of PTMs in the human β cardiac myosin protein. The authors found acetylation sites and phosphorylation sites and used molecular dynamics simulations to predict the impacts of these PTMs on myosin function.

There is a lot of information in this very long (too long in my opinion) right now, its utility is unknown. The PTMs are very rare on this molecule and there are not enough samples to have much power (even though I know how hard it is to get samples).

The authors also make several statements about how MYH6 or α myosin is induced in human heart failure. To the best of my knowledge, the opposite is what happens in human heart failure.

I think this information may be better suited for a more specialized audience and journal.

We appreciate your critique and the opportunity to improve our manuscript and make it more accessible to the general reader. We have thoughtfully and carefully considered each point that you have made. We believe that the manuscript is now greatly improved and suitable for publication in eLife.

https://doi.org/10.7554/eLife.74919.sa2

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  1. Maicon Landim-Vieira
  2. Matthew C Childers
  3. Amanda L Wacker
  4. Michelle Rodriquez Garcia
  5. Huan He
  6. Rakesh Singh
  7. Elizabeth A Brundage
  8. Jamie R Johnston
  9. Bryan A Whitson
  10. P Bryant Chase
  11. Paul ML Janssen
  12. Michael Regnier
  13. Brandon J Biesiadecki
  14. J Renato Pinto
  15. Michelle S Parvatiyar
(2022)
Post-translational modification patterns on β-myosin heavy chain are altered in ischemic and nonischemic human hearts
eLife 11:e74919.
https://doi.org/10.7554/eLife.74919

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https://doi.org/10.7554/eLife.74919