Peer Review History

Original SubmissionJuly 20, 2020
Decision Letter - M. Faadiel Essop, Editor

PONE-D-20-21640

Plasma trimethylamine N-oxide and its metabolic precursors and risk of mortality, cardiovascular and renal disease in individuals with type 2-diabetes and albuminuria

PLOS ONE

Dear Dr. Winther,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please carefully address the points raised by the reviewers and especially focus on: inclusion criteria, statistical analyses employed and the cystatin C issue raised.  

Please submit your revised manuscript by 30 November 2020. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.
  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.
  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

M. Faadiel Essop

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Please ensure you have included the registration number for the clinical trial referenced in the manuscript.

3. Thank you for stating the following in the Competing Interests section:

"I have read the journal's policy and the authors of this manuscript have the following competing interests:

PR reports having given lectures for Astra Zeneca, Bayer, Novo Nordisk and Boehringer Ingelheim, and has served as a consultant for AbbVie, Astra Zeneca, Bayer, Eli Lilly, Boehringer Ingelheim, Astellas, Gilead, Mundipharma, Vifor, and Novo Nordisk, all fees given to Steno Diabetes Center Copenhagen. SAW, TWH, BJvS, TSA and PR own stocks in Novo Nordisk A/S and TSA in Zealand Pharma A/S. ZW and SLH are named as co-inventors on pending and issued patents held by the Cleveland Clinic relating to cardiovascular diagnostics and therapeutics, and have the right to receive royalty payment for inventions or discoveries related to cardiovascular diagnostics or therapeutics from Cleveland Heart Lab, Quest Diagnostics and Proctor & Gamble. SLH also reports having been paid as a consultant from Proctor & Gamble, and having received research funds from Proctor & Gamble and Roche. The other authors report no conflicts of interest.  "

We note that one or more of the authors are employed by a commercial company: Novo Nordisk A/S, Denmark.

3.1. Please provide an amended Funding Statement declaring this commercial affiliation, as well as a statement regarding the Role of Funders in your study. If the funding organization did not play a role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript and only provided financial support in the form of authors' salaries and/or research materials, please review your statements relating to the author contributions, and ensure you have specifically and accurately indicated the role(s) that these authors had in your study. You can update author roles in the Author Contributions section of the online submission form.

Please also include the following statement within your amended Funding Statement.

“The funder provided support in the form of salaries for authors [insert relevant initials], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.”

If your commercial affiliation did play a role in your study, please state and explain this role within your updated Funding Statement.

3.2. Please also provide an updated Competing Interests Statement declaring this commercial affiliation along with any other relevant declarations relating to employment, consultancy, patents, products in development, or marketed products, etc.  

Within your Competing Interests Statement, please confirm that this commercial affiliation does not alter your adherence to all PLOS ONE policies on sharing data and materials by including the following statement: "This does not alter our adherence to  PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests) . If this adherence statement is not accurate and  there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

Please include both an updated Funding Statement and Competing Interests Statement in your cover letter. We will change the online submission form on your behalf.

Please know it is PLOS ONE policy for corresponding authors to declare, on behalf of all authors, all potential competing interests for the purposes of transparency. PLOS defines a competing interest as anything that interferes with, or could reasonably be perceived as interfering with, the full and objective presentation, peer review, editorial decision-making, or publication of research or non-research articles submitted to one of the journals. Competing interests can be financial or non-financial, professional, or personal. Competing interests can arise in relationship to an organization or another person. Please follow this link to our website for more details on competing interests: http://journals.plos.org/plosone/s/competing-interests

4. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions.

In your revised cover letter, please address the following prompts:

a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially identifying or sensitive patient information) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent.

b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. Please see http://www.bmj.com/content/340/bmj.c181.long for guidelines on how to de-identify and prepare clinical data for publication. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.

We will update your Data Availability statement on your behalf to reflect the information you provide.

5. We note that you have included the phrase “data not shown” in your manuscript. Unfortunately, this does not meet our data sharing requirements. PLOS does not permit references to inaccessible data. We require that authors provide all relevant data within the paper, Supporting Information files, or in an acceptable, public repository. Please add a citation to support this phrase or upload the data that corresponds with these findings to a stable repository (such as Figshare or Dryad) and provide and URLs, DOIs, or accession numbers that may be used to access these data. Or, if the data are not a core part of the research being presented in your study, we ask that you remove the phrase that refers to these data.

6. Please include your tables as part of your main manuscript and remove the individual files. Please note that supplementary tables (should remain/ be uploaded) as separate "supporting information" files.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Partly

Reviewer #4: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

Reviewer #4: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: No

Reviewer #3: No

Reviewer #4: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

Reviewer #4: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: In this study investigators look at possible associations between plasma levels of trimethylamine-N-oxide and its metabolic precursors, and CVD and renal disease in patients with type 2 diabetic and albuminuria. This metabolic pathway and the role its metabolites may play in disease is still relatively underexplored. The outcomes of the studies that have been published appear to be relatively inconclusive and controversial. This study uses long term data from a reasonably large patient cohort to come to the conclusion that choline, carnitine and the weighted sum of the TMAO pathway metabolites may be risk markers for deteriorating renal function. They also show that only a higher weighted sum score of TMAO pathway metabolites shows an association with increased risk of CV mortality while individual metabolites alone do not. The manuscript is well written and data analyses appear to be well executed. The authors’ conclusions are reasonable and supported by the data.

Minor comments

1. The sentence on line 198 should be rephrased. Perhaps “In addition, at baseline individuals with higher TMAO………”

2. Line 208 onwards. Last sentence in particular is difficult to follow. “During follow-up a total of 106 patients died. Of 116 patients that suffered CVD events, 44 of these events were fatal.” Perhaps?

3. Line 289. “ Consistent with our study……".

Reviewer #2: I have to commend the authors on a well documented and high impact research. The problem statement was complimented with a focussed introduction and provided the reader with sufficient background leading to the motivation and rationale for the current study. A large cohort of patients that participated in 2 clinical trials were recruited for this study. Four plasma metabolites that are linked to the TMAO pathway was investigated with respect to their risk with all-cause mortality, CVD and deterioration in n=311 renal function in individuals with type 2-diabetes (T2D) and albuminuria.

Appropriate and sensitive measurements were performed to quantify the variables.

I would like to know what the inclusion criteria was for this study? This is not clearly described.

All other aspects of the manuscript is in my opinion flawless. I was curious as to why cystatin C was not estimated in this study? Not much is reported on this but I was just curious.

I really enjoyed the variety of figures and tables that clearly indicated the contribution of the biological markers toward risk of mortality,cardiovascular and renal disease.

Reviewer #3: Here is a list of specific comments. Note: line and page numbering in reviews and comments is based on ruler applied in Editorial Manager-generated PDF.

1. Page 7, line 141: In the Endpoints section, please make sure all four endpoints, all-cause mortality, CV mortality, CVD and eGFR decline >=30%, for survival analyses were properly introduced.

2. Page 7, lines 148–149: “Censored” might not be an appropriate word here. I suggest writing ‘individuals experiencing multiple events stopped their follow up at time of the first event in the analyses’.

3. Page 8, lines 165–166: Please clarify “analyses” referred to ‘correlation and regression analyses’, not including summary statistics in Table 1.

4. Page 8, line 166: For the non-normal continuous variables (those reported in median and IQR), please use a non-parametric version of analysis of variance (e.g., Kruskal-Wallis analysis of variance).

5. Page 8, lines 170–172: For all-cause mortality, Cox proportional hazards models were appropriate. For CV mortality, CVD and eGFR decline >=30%, please describe whether or not there were competing events for each endpoint. If competing events existed, the models in Table 2 were technically called cause-specific hazards models (by censoring the competing events). You do not have to change the analyses in Table 2, but, for each endpoint, clarify the presence/absence of competing events and the use of cause-specific hazards models when the competing events present.

6. Page 8, lines 173–174: Please clarify if these variables were the candidates of the forward selection approach or the results of the selection. Table 2 suggested the latter. For the latter, how many and what variables did you include at the beginning of the forward selection? Different endpoints should result in different sets of selections. How did you determine the final adjusted covariates for all endpoints? Please specify responses to the above questions in this paragraph. Please comment on why treatments and cohorts were not included; I would suggest including them even if they did not pass the inclusion criteria of the forward selection approach.

7. Page 8, line 179: Because of the competing events and the use of cause-specific hazards models (see Comment #5 above), I suggest replacing “Cox regression model” with ‘proportional hazards models’ such that both Cox and cause-specific hazards models are included. Apply this accordingly for the rest of the manuscript.

8. Page 9, line 203: Please confirm the correlation of 0.33 were r or r-squared. The Statistics section described the use of Pearson correlation. I assumed it was r, not r-squared.

9. Page 9, line 203: I suggest including p-values in S1 Fig.

10. Page 10, line 220: Please include this information in Table 2.

11. Page 11, line 226: I suggest combining eGFR decline >=30% with S1 Table into Table 3. If it exceeds the limit of tables/figures, I would move Fig. 1 to S2 Fig.

12. Table 1: I suggest including cohorts and the weighted metabolite sum score in the table.

13. Table 2: For each endpoint, if the sample size was not 311, please specify in the table.

Reviewer #4: Review on the manuscript entitled: “Plasma trimethylamine N-oxide and its metabolic precursors and risk of mortality, cardiovascular and renal disease in individuals with type 2-diabetes and albuminuria” by Winther SA et al

The manuscript’s aim is to investigate the associations between four plasma metabolites in the TMAO pathway and risk of all-cause mortality, cardiovascular disease, and deterioration in renal function in individuals with type 2 diabetes and albuminuria. Levels of plasma metabolites were measured at baseline in individuals with type 2 diabetes, while other information was obtained from registries. Associations were analysed using Cox models. The results showed that in type 2 diabetes and albuminuria, higher choline, carnitine, and a weighted sum of four metabolites from the TMAO pathway were risk markers for deterioration in renal function in the follow up.

This is a beautifully written manuscript with all aspects very well clarified. I find it easy to follow from the title, the abstract, and the rest of the article. The authors did address all their findings, and also highlighting the limitations of the study accordingly.

Something minor I noticed is that in their subjects 77% were females. Was wondering if perhaps there were any variations in the TMAO pathway with gender of the patients?

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Eugene du Toit

Reviewer #2: No

Reviewer #3: No

Reviewer #4: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Revision 1

Reviewer #1:

In this study investigators look at possible associations between plasma levels of trimethylamine-N-oxide and its metabolic precursors, and CVD and renal disease in patients with type 2 diabetic and albuminuria. This metabolic pathway and the role its metabolites may play in disease is still relatively underexplored. The outcomes of the studies that have been published appear to be relatively inconclusive and controversial. This study uses long term data from a reasonably large patient cohort to come to the conclusion that choline, carnitine and the weighted sum of the TMAO pathway metabolites may be risk markers for deteriorating renal function. They also show that only a higher weighted sum score of TMAO pathway metabolites shows an association with increased risk of CV mortality while individual metabolites alone do not. The manuscript is well written and data analyses appear to be well executed. The authors’ conclusions are reasonable and supported by the data.

Minor comments

1. The sentence on line 198 should be rephrased. Perhaps “In addition, at baseline individuals with higher TMAO………”

Thank you for this helpful comment. The sentence has been rephrased as suggested (revised version: Results, line 207).

2. Line 208 onwards. Last sentence in particular is difficult to follow. “During follow-up a total of 106 patients died. Of 116 patients that suffered CVD events, 44 of these events were fatal.” Perhaps?

We agree and have rephrased the sentence as suggested (revised version: Results, line 220-221)

3. Line 289. “ Consistent with our study……".

Thank you, we have corrected as suggested (revised version: Discussion, line 316)

Reviewer #2:

I have to commend the authors on a well documented and high impact research. The problem statement was complimented with a focussed introduction and provided the reader with sufficient background leading to the motivation and rationale for the current study. A large cohort of patients that participated in 2 clinical trials were recruited for this study. Four plasma metabolites that are linked to the TMAO pathway was investigated with respect to their risk with all-cause mortality, CVD and deterioration in n=311 renal function in individuals with type 2-diabetes (T2D) and albuminuria.

Appropriate and sensitive measurements were performed to quantify the variables.

I would like to know what the inclusion criteria was for this study? This is not clearly described.

Thank you for this helpful comment. We have clarified the inclusion criteria for the two cohorts in the revised Methods:

Page 5; lines 103-104:

“Inclusion criteria included individuals with T2D (defined according to the 1985 WHO criteria), age 40-65 years and persistent microalbuminuria.”

Page 5; lines 107-109:

“The second cohort comprised 200 T2D individuals with persistent albuminuria (two out of three consecutive measured UAER > 30 mg/24h). Other inclusion criteria included age between 20 and 70 years, no known coronary artery disease and normal plasma creatinine. Of the 200 participants included in the original observational study, 173 had available metabolite measures for the present study”.

For the present study the inclusion criteria were available metabolite measurements. This is now specified in the revised Methods:

Page 6; lines 115-116:

“Individuals from the original two studies with available metabolite measures from stored blood samples were included in the present study.”

All other aspects of the manuscript is in my opinion flawless. I was curious as to why cystatin C was not estimated in this study? Not much is reported on this but I was just curious.

We agree that estimation of cystatin C might have been a helpful supplement to the analyses. Unfortunately, cystatin C was not measured in the study. We only include cystatin C in studies with for example weight loss or with medications affecting creatinine clearance. However, we agree that cystatin C or the combination of creatinine and cystatin C may improve precision when estimating GFR.

The lack of information on cystatin C is included in the revised limitation section:

Page 23; lines 373-377):

Moreover, it is possible that estimation of GFR using cystatin C would have increased accuracy, however we do not expect this would have affected our findings significantly (Michael G Shlipak et al. N Engl J Med 2013; 69:932-43).

I really enjoyed the variety of figures and tables that clearly indicated the contribution of the biological markers toward risk of mortality, cardiovascular and renal disease.

Reviewer #3: Here is a list of specific comments. Note: line and page numbering in reviews and comments is based on ruler applied in Editorial Manager-generated PDF.

1. Page 7, line 141: In the Endpoints section, please make sure all four endpoints, all-cause mortality, CV mortality, CVD and eGFR decline >=30%, for survival analyses were properly introduced.

Thank you for pointing this out. We have introduced all four endpoints in the revised Endpoints section:

Page 7; lines 148-149):

“We considered four endpoints; All-cause mortality, CV mortality, CVD and eGFR decline ≥30%”.

And have clarified the definition of CV mortality:

Page 7; lines 149-150:

“All deaths were classified as CVD related unless an unequivocal noncardiovascular cause was reported, a previously recognized approach (Yusuf S et al. N Engl J Med 2000;342:154–160)”.

Moreover, we have clarified that we considered additional renal endpoints:

Page 8; lines 158-160:

“Furthermore, we considered additional renal endpoints and applied linear regression analysis to calculate rate of eGFR decline (eGFR slope) based on measurements from baseline, in individuals with at least two measurements and a minimum of follow-up of 3 years (n = 273)”.

2. Page 7, lines 148–149: “Censored” might not be an appropriate word here. I suggest writing ‘individuals experiencing multiple events stopped their follow up at time of the first event in the analyses’.

Thank you for this suggestion. We have reworded as proposed (revised version: Results, Endpoints section, page 7; lines 152-153).

3. Page 8, lines 165–166: Please clarify “analyses” referred to ‘correlation and regression analyses’, not including summary statistics in Table 1.

Thank you for the comment. We have clarified that the “analyses” referred to ‘correlation and regression analyses (revised version: Statistics, page 8; line 171).

4. Page 8, line 166: For the non-normal continuous variables (those reported in median and IQR), please use a non-parametric version of analysis of variance (e.g., Kruskal-Wallis analysis of variance).

In accordance with this comment we now apply the Kruskal-Wallis analysis of variance for the non-normal distributed continuous variables in the revised Statistics:

Page 8; lines 171-173:

“We applied analyses of variance for normal distributed continuous variables and the Kruskal-Wallis analysis of variance for the non-normal distributed continuous variables; and the chi-square test for categorical variables to compare differences between quartiles of TMAO”.

Table 1 is revised accordantly.

5. Page 8, lines 170–172: For all-cause mortality, Cox proportional hazards models were appropriate. For CV mortality, CVD and eGFR decline >=30%, please describe whether or not there were competing events for each endpoint. If competing events existed, the models in Table 2 were technically called cause-specific hazards models (by censoring the competing events). You do not have to change the analyses in Table 2, but, for each endpoint, clarify the presence/absence of competing events and the use of cause-specific hazards models when the competing events present.

Thank you for this very relevant comment. All-cause mortality is a competing event for CVD and eGFR decline ≥30%, and non-CV mortality is a competing event for CV mortality. No other competing events were considered in the analyses. This is clarified in the revised Statistics:

Page 9; lines 179-181:

“We considered all-cause mortality as a competing event for CVD and eGFR decline ≥30%, and non-CV mortality as a competing event for CV mortality. No other competing events were considered”.

As non-CV mortality was a competing event for CV mortality, we have included analyses of non-CV mortality in a new added section in the revised version (Additional analyses):

Page 18-19; lines 268-270:

“To consider competing risk for the endpoint of CV mortality, a proportional hazard model was performed for non-CV mortality (n=62); None of the metabolites or weighted metabolite sum score were associated with the risk of non-CV mortality (p≥0.14).”

Moreover, we have clarified that we applied cause-specific hazards models when the competing events were present. Revised statistical section:

Page 9; lines 181-182:

“We applied cause-specific hazards models when competing events were present.”

Legends to Table 2 and new Table 3 (former Table S1) are also updated accordantly.

6. Page 8, lines 173–174: Please clarify if these variables were the candidates of the forward selection approach or the results of the selection. Table 2 suggested the latter. For the latter, how many and what variables did you include at the beginning of the forward selection? Different endpoints should result in different sets of selections. How did you determine the final adjusted covariates for all endpoints? Please specify responses to the above questions in this paragraph. Please comment on why treatments and cohorts were not included; I would suggest including them even if they did not pass the inclusion criteria of the forward selection approach.

Thank you for the comment, which gives us the opportunity to clarify. The mentioned variables were selected for all endpoint based on their clinical relevance for the studied cohort. After running the unadjusted regression models each variable were added stepwise to the model. This is now specified in the revised version:

Page 9; lines 182-184:

“First, we performed unadjusted analyses. Next, we adjusted for baseline age, sex, HbA1c, systolic blood pressure, body mass index, total cholesterol, smoking, UAER and eGFR by adding each variable solely and, thereafter, stepwise to the model.”

Furthermore, as suggested, we have performed additional adjustment for cohort and treatment with RAAS blocking agents, insulin, acetylsalicylic acid and lipid lowering agents included in a new section in the revised manuscript named Additional analyses.

Page 18; lines 266-268:

“In sensitivity analyses, we included additional adjustment for cohort and treatment with RAAS blocking agents, insulin, acetylsalicylic acid and lipid lowering agents. This did not change any of the results”.

7. Page 8, line 179: Because of the competing events and the use of cause-specific hazards models (see Comment #5 above), I suggest replacing “Cox regression model” with ‘proportional hazards models’ such that both Cox and cause-specific hazards models are included. Apply this accordingly for the rest of the manuscript.

Thank you for this helpful suggestion. We have replaced “Cox regression model” with ‘proportional hazards models’ throughout the manuscript.

8. Page 9, line 203: Please confirm the correlation of 0.33 were r or r-squared. The Statistics section described the use of Pearson correlation. I assumed it was r, not r-squared.

Thank you for noticing this inconsistence. The correlations presented are r-squared. This is corrected in the statistical section:

Page 8; lines 175-176:

“Correlations between the log2-transformed four metabolites at baseline were examined using Pearson correlation and reported as the coefficient of determination (R2).”

9. Page 9, line 203: I suggest including p-values in S1 Fig.

As suggested, p-values are added to the legend of the S1 Fig.

10. Page 10, line 220: Please include this information in Table 2.

In accordance with your comment number 11, we have combined eGFR decline ≥30% with S1 Table into Table 3. Thus, the requested information on numbers of subjects available for analyses are included in the revised Table 3 for all the renal endpoints.

11. Page 11, line 226: I suggest combining eGFR decline >=30% with S1 Table into Table 3. If it exceeds the limit of tables/figures, I would move Fig. 1 to S2 Fig.

Thank you for this valuable suggestion. We have combined eGFR decline ≥30% with the other renal endpoints into a Table 3 instead of the former Table S1. The manuscript is updated accordantly.

12. Table 1: I suggest including cohorts and the weighted metabolite sum score in the table.

As suggested, we now include information on cohort in Table 1. The weighted metabolite sum score is calculated specific for each endpoint and also include negative values due to the calculated different influence of each metabolite. Thus, the absolute numbers of the weighted metabolite sum score would not be clinically relevant. Therefore, we decided not to include the weighted metabolite sum score in Table 1.

13. Table 2: For each endpoint, if the sample size was not 311, please specify in the table.

For all the endpoints presented in the updated Table 2 the sample size was 311. However, for the renal endpoints presented in the revised Table 3 the sample size was not 311. Thus, we have specified the sample size for each of the outcomes presented in Table 3.

Reviewer #4: Review on the manuscript entitled: “Plasma trimethylamine N-oxide and its metabolic precursors and risk of mortality, cardiovascular and renal disease in individuals with type 2-diabetes and albuminuria” by Winther SA et al

The manuscript’s aim is to investigate the associations between four plasma metabolites in the TMAO pathway and risk of all-cause mortality, cardiovascular disease, and deterioration in renal function in individuals with type 2 diabetes and albuminuria. Levels of plasma metabolites were measured at baseline in individuals with type 2 diabetes, while other information was obtained from registries. Associations were analysed using Cox models. The results showed that in type 2 diabetes and albuminuria, higher choline, carnitine, and a weighted sum of four metabolites from the TMAO pathway were risk markers for deterioration in renal function in the follow up.

This is a beautifully written manuscript with all aspects very well clarified. I find it easy to follow from the title, the abstract, and the rest of the article. The authors did address all their findings, and also highlighting the limitations of the study accordingly.

Something minor I noticed is that in their subjects 77% were females. Was wondering if perhaps there were any variations in the TMAO pathway with gender of the patients?

Thank you for the comment which we presume referring to the 77% male subjects. We have included the following in the revised limitation section:

Page 23; lines 375-377:

“Finally, the study population included 77% males and although we did not find any significant effect modification by sex, there could be variations in the TMAO pathway with sex, which might have impacted our results.”

Attachments
Attachment
Submitted filename: Response to Reviewers.docx
Decision Letter - M. Faadiel Essop, Editor

Plasma trimethylamine N-oxide and its metabolic precursors and risk of mortality, cardiovascular and renal disease in individuals with type 2-diabetes and albuminuria

PONE-D-20-21640R1

Dear Dr. Winther,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

M. Faadiel Essop

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #3: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #3: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #3: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #3: (No Response)

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #3: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #3: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #3: No

Formally Accepted
Acceptance Letter - M. Faadiel Essop, Editor

PONE-D-20-21640R1

Plasma trimethylamine N-oxide and its metabolic precursors and risk of mortality, cardiovascular and renal disease in individuals with type 2-diabetes and albuminuria

Dear Dr. Winther:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. M. Faadiel Essop

Academic Editor

PLOS ONE

Open letter on the publication of peer review reports

PLOS recognizes the benefits of transparency in the peer review process. Therefore, we enable the publication of all of the content of peer review and author responses alongside final, published articles. Reviewers remain anonymous, unless they choose to reveal their names.

We encourage other journals to join us in this initiative. We hope that our action inspires the community, including researchers, research funders, and research institutions, to recognize the benefits of published peer review reports for all parts of the research system.

Learn more at ASAPbio .