Peer Review History

Original SubmissionOctober 29, 2024
Decision Letter - Vladimir Trajkovic, Editor

PLOS ONE

Dear Dr. Sargeant,

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.

==============================

Reviewer 1

The authors report aging effects on the aging effects on autophagy flux across three tissues (peripheral blood monocytes, heart, and motor cortex neurons) by examining a tandem-fluorescent LC3B mouse at 6, 12 and 18 months of age. In addition, mice fed a high-fat diet were also evaluated at each group. Both sexes were studied.

The study addresses a significant gap in the field using a novel mouse model and a naturally aging model.

MAJOR COMMENTS:

1. The presentation of the mouse phenotype is incomplete. This aspect is particularly important given the naturally aging model. Specifically, information regarding appearance and weight gain is in Suppl. Fig. 1, but additional data seem necessary (e.g., survival curves or tumor free survival) to better understand the model (some of this data appears to have been collected given the n of animals indicated in Suppl. Fig. 1). Other behavioral and motor performance characteristics would be desirable. Similarly, information on non-transgenic mouse of the same background seems important to understand possible differences in aging effects.

2. The high fat diet mice did not develop fasting hyperglycemia (suppl. Fig. 1) despite apparently greater weight gain at all ages

3. The aging phenotype of many mouse models is very limited by 18 months of age (survival rates are usually >75%) and the lack of an older group with lower survival rates is not justified in the manuscript.

4. The characterization of autophagy flux is limited to the GFP:RFP ratio in cells of interest, but other measurements (e.g., puncta per cell, LC3 abundance are not presented).

5. The presumed DAPI+ of lipofuscin granules is intriguing. It would be expected that pigment granules containing lipofuscin would be cytosolic (mostly lysosomes) and lacking DNA (e.g., PLoS ONE 2024; 19(7): e0306275. https://doi.org/10.1371/journal.pone.0306275). This aspect of the work is insufficiently presented to provide confidence in this methodological approach to address autofluorescence in the brain, particularly in older animals.

6. Many essential methodological aspects of confocal fluorescence imaging (e.g., image acquisition, selection of dynamic range, quantification of puncta) are not provided. These aspects are particularly important for the model characterization and the tissue-based measures. For example, sarcomeres appear visible on some of the GFP images of the heart.

7. Corroborative information would be useful in comparing the measured changes in autophagy flux with other measures of autophagy. For instance, there appears to be very low levels of GFP detected suggesting the near absence of autophagosomes. Whether there are global changes in LC3 protein is not clear.

8. The analyses of GFP:RFP ratio presented in figs. 2-4 only reflect mean values per cell/field, clustered across animals, and there is no information presented on the variability across cells within animals, which may be of interest given expected increases in heterogeneity with older age.

9. Concluding statements regarding aging effects on autophagy flux in the heart and brain (results sections and first paragraph of the Discussion) do not seem to be supported by the figures. There are no significant post-hoc differences highlighted in Fig 3B or 4B/D, even if a main age effect is reported. None of the diet effects were significant in the 2-way ANOVA and a significant interaction with age was only reported in the male heart.

MINOR COMMENTS:

1. The quantification of GFP:RFP ratios is insufficiently presented in the results and figure legends to facilitate interpretation (Fig. 2 uses “median fluorescence intensity”, Figs. 3 and 4 “puncta per field”.

2. Post hoc analysis in suppl. Fig. 1B are not presented despite a significant age effect.

3. Statements in the text regarding tumor frequency seem to be based on only 8 animals per age/diet/sex group (suppl. Fig. 1D, 1E). A tumor-free survival curve is likely obtainable for the aging colony.

4. The section on motor cortex neurons suggests that p62/SQSTM1 puncta were identified, but there is no such data in any of the figures (including supplemental).

Reviewer 2

In their manuscript, Carosi et al. analyze autophagy in PBMCs, heart and motor cortex neurons during aging and high-fat diet. For that, they use a transgenic mouse expressing a tandem- fluorescent LC3 reporter (RFP-GFP-LC3), which allows the quantification of autophagic activity. They show that autophagy changes differently across the different tissues analyzed, with differences in response to aging and HFD, and between males and females. The manuscript addresses an interesting topic, and tries to elucidate how autophagy changes during aging and HFD in different tissues. However, there are some concerns the authors should address to add strength to their conclusions.

1. The main issue with the data shown in this manuscript is that the authors have only used the transgenic mouse model expressing RFP-GFP-LC3 reporter. Although very useful, it has some limitations (as the authors state in their conclusions). The activity and acidity of the lysosome are two key aspects in the interpretation of the results obtained using this technique. For example, changes in lysosomal degradation without changes in the pH would lead to the misinterpretation of the results. In this regard, I suggest the authors to evaluate lysosomal activity and pH. Although challenging in tissues in vivo, they can assess it easily in PBMCs using lysosensor and other probes that can be used for flow cytometry.

2. In Figure 2, the authors show autophagic flux in PBMCs isolated from male and female mice at different ages and diet. Although they show the data in PBMCs in general, it would be interesting to show autophagic flux in the different main cell populations ((T cells, B cells, monocytes, etc).

3. The addition of some data regarding the expression of the main autophagy regulators and proteins would add important information and would help to strengthen the conclusions of the study.

==============================

Please submit your revised manuscript by Jan 21 2025 11:59PM. 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.

  • 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: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols . Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols .

We look forward to receiving your revised manuscript.

Kind regards,

Vladimir Trajkovic

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. Thank you for stating the following financial disclosure: 

This investigation was supported by Lysosomal Health in Ageing at SAHMRI, and an Ideas Grant from the National Health and Medical Research Council (GNT2002608) awarded to JB and TJS. JMC is supported by an EMCR Fellowship from The Hospital Research Foundation Group (2022-CF-EMCR-007). The authors acknowledge Microscopy Australia (ROR: 042mm0k03) resources at the Future Industries Institute, University of South Australia, enabled by NCRIS.  

Please state what role the funders took in the study.  If the funders had no role, please state: ""The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."" 

If this statement is not correct you must amend it as needed. 

Please include this amended Role of Funder statement in your cover letter; we will change the online submission form on your behalf.

3. Thank you for stating the following in the Acknowledgments Section of your manuscript: 

This investigation was supported by Lysosomal Health in Ageing at SAHMRI, and an Ideas

Grant from the National Health and Medical Research Council (GNT2002608) awarded to JB

and TJS. JMC is supported by an EMCR Fellowship from The Hospital Research Foundation

Group (2022-CF-EMCR-007). The authors acknowledge Microscopy Australia (ROR:

042mm0k03) resources at the Future Industries Institute, University of South Australia,

enabled by NCRIS.

We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form. 

Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows: 

This investigation was supported by Lysosomal Health in Ageing at SAHMRI, and an Ideas Grant from the National Health and Medical Research Council (GNT2002608) awarded to JB and TJS. JMC is supported by an EMCR Fellowship from The Hospital Research Foundation Group (2022-CF-EMCR-007). The authors acknowledge Microscopy Australia (ROR: 042mm0k03) resources at the Future Industries Institute, University of South Australia, enabled by NCRIS.

Please include your amended statements within your cover letter; we will change the online submission form on your behalf.

4. In the online submission form, you indicated that The data underlying the results presented in the study are available from the corresponding author under reasonable request.

All PLOS journals now require all data underlying the findings described in their manuscript to be freely available to other researchers, either 1. In a public repository, 2. Within the manuscript itself, or 3. Uploaded as supplementary information.

This policy applies to all data except where public deposition would breach compliance with the protocol approved by your research ethics board. If your data cannot be made publicly available for ethical or legal reasons (e.g., public availability would compromise patient privacy), please explain your reasons on resubmission and your exemption request will be escalated for approval. 

5. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information.

[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?

Reviewer #1: Yes

Reviewer #2: Partly

**********

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

Reviewer #1: Yes

Reviewer #2: Yes

**********

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

The PLOS Data policy

Reviewer #1: Yes

Reviewer #2: Yes

**********

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

Reviewer #1: Yes

Reviewer #2: Yes

**********

Reviewer #1: The authors report aging effects on the aging effects on autophagy flux across three tissues (peripheral blood monocytes, heart, and motor cortex neurons) by examining a tandem-fluorescent LC3B mouse at 6, 12 and 18 months of age. In addition, mice fed a high-fat diet were also evaluated at each group. Both sexes were studied.

The study addresses a significant gap in the field using a novel mouse model and a naturally aging model.

MAJOR COMMENTS:

1. The presentation of the mouse phenotype is incomplete. This aspect is particularly important given the naturally aging model. Specifically, information regarding appearance and weight gain is in Suppl. Fig. 1, but additional data seem necessary (e.g., survival curves or tumor free survival) to better understand the model (some of this data appears to have been collected given the n of animals indicated in Suppl. Fig. 1). Other behavioral and motor performance characteristics would be desirable. Similarly, information on non-transgenic mouse of the same background seems important to understand possible differences in aging effects.

2. The high fat diet mice did not develop fasting hyperglycemia (suppl. Fig. 1) despite apparently greater weight gain at all ages

3. The aging phenotype of many mouse models is very limited by 18 months of age (survival rates are usually >75%) and the lack of an older group with lower survival rates is not justified in the manuscript.

4. The characterization of autophagy flux is limited to the GFP:RFP ratio in cells of interest, but other measurements (e.g., puncta per cell, LC3 abundance are not presented).

5. The presumed DAPI+ of lipofuscin granules is intriguing. It would be expected that pigment granules containing lipofuscin would be cytosolic (mostly lysosomes) and lacking DNA (e.g., PLoS ONE 2024; 19(7): e0306275. https://doi.org/10.1371/journal.pone.0306275). This aspect of the work is insufficiently presented to provide confidence in this methodological approach to address autofluorescence in the brain, particularly in older animals.

6. Many essential methodological aspects of confocal fluorescence imaging (e.g., image acquisition, selection of dynamic range, quantification of puncta) are not provided. These aspects are particularly important for the model characterization and the tissue-based measures. For example, sarcomeres appear visible on some of the GFP images of the heart.

7. Corroborative information would be useful in comparing the measured changes in autophagy flux with other measures of autophagy. For instance, there appears to be very low levels of GFP detected suggesting the near absence of autophagosomes. Whether there are global changes in LC3 protein is not clear.

8. The analyses of GFP:RFP ratio presented in figs. 2-4 only reflect mean values per cell/field, clustered across animals, and there is no information presented on the variability across cells within animals, which may be of interest given expected increases in heterogeneity with older age.

9. Concluding statements regarding aging effects on autophagy flux in the heart and brain (results sections and first paragraph of the Discussion) do not seem to be supported by the figures. There are no significant post-hoc differences highlighted in Fig 3B or 4B/D, even if a main age effect is reported. None of the diet effects were significant in the 2-way ANOVA and a significant interaction with age was only reported in the male heart.

MINOR COMMENTS:

1. The quantification of GFP:RFP ratios is insufficiently presented in the results and figure legends to facilitate interpretation (Fig. 2 uses “median fluorescence intensity”, Figs. 3 and 4 “puncta per field”.

2. Post hoc analysis in suppl. Fig. 1B are not presented despite a significant age effect.

3. Statements in the text regarding tumor frequency seem to be based on only 8 animals per age/diet/sex group (suppl. Fig. 1D, 1E). A tumor-free survival curve is likely obtainable for the aging colony.

4. The section on motor cortex neurons suggests that p62/SQSTM1 puncta were identified, but there is no such data in any of the figures (including supplemental).

Reviewer #2: In their manuscript, Carosi et al. analyze autophagy in PBMCs, heart and motor cortex neurons during aging and high-fat diet. For that, they use a transgenic mouse expressing a tandem- fluorescent LC3 reporter (RFP-GFP-LC3), which allows the quantification of autophagic activity. They show that autophagy changes differently across the different tissues analyzed, with differences in response to aging and HFD, and between males and females. The manuscript addresses an interesting topic, and tries to elucidate how autophagy changes during aging and HFD in different tissues. However, there are some concerns the authors should address to add strength to their conclusions.

1. The main issue with the data shown in this manuscript is that the authors have only used the transgenic mouse model expressing RFP-GFP-LC3 reporter. Although very useful, it has some limitations (as the authors state in their conclusions). The activity and acidity of the lysosome are two key aspects in the interpretation of the results obtained using this technique. For example, changes in lysosomal degradation without changes in the pH would lead to the misinterpretation of the results. In this regard, I suggest the authors to evaluate lysosomal activity and pH. Although challenging in tissues in vivo, they can assess it easily in PBMCs using lysosensor and other probes that can be used for flow cytometry.

2. In Figure 2, the authors show autophagic flux in PBMCs isolated from male and female mice at different ages and diet. Although they show the data in PBMCs in general, it would be interesting to show autophagic flux in the different main cell populations ((T cells, B cells, monocytes, etc).

3. The addition of some data regarding the expression of the main autophagy regulators and proteins would add important information and would help to strengthen the conclusions of the study.

**********

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: No

Reviewer #2: 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

The authors report aging effects on the aging effects on autophagy flux across three tissues (peripheral blood monocytes, heart, and motor cortex neurons) by examining a tandem-fluorescent LC3B mouse at 6, 12 and 18 months of age. In addition, mice fed a high-fat diet were also evaluated at each group. Both sexes were studied.

The study addresses a significant gap in the field using a novel mouse model and a naturally aging model.

MAJOR COMMENTS:

1. The presentation of the mouse phenotype is incomplete. This aspect is particularly important given the naturally aging model. Specifically, information regarding appearance and weight gain is in Suppl. Fig. 1, but additional data seem necessary (e.g., survival curves or tumor free survival) to better understand the model (some of this data appears to have been collected given the n of animals indicated in Suppl. Fig. 1). Other behavioral and motor performance characteristics would be desirable. Similarly, information on non-transgenic mouse of the same background seems important to understand possible differences in aging effects.

We have now provided a survival curve for tf-LC3B mice used in this study (Figure S2F and S2G).

We agree that behavioural and motor performance experiments would be desirable, but we believe that they are beyond the scope of this study which seeks to analyse autophagic flux (using a tf-LC3B florescent reporter) during aging or high-fat diet.

Age-matched non-transgenic controls were included for technical purposes (e.g. to control for background) but were not bred in sufficient numbers for thorough investigation of autophagic flux since they do not express the tf-LC3B reporter.

2. The high fat diet mice did not develop fasting hyperglycemia (suppl. Fig. 1) despite apparently greater weight gain at all ages

By 6-months of age, male but not female mice fed a high-fat diet displayed higher fasting blood glucose compared to those fed regular chow (Figure S1C). However, by 12-months of age, male mice fed chow had higher fasting blood glucose than those fed a high-fat diet, and by 18-months of age, fasting blood glucose levels dropped to a similar level regardless of their diet. Therefore, our study shows temporal dynamics of how fasting blood glucose levels change in response to both a regular and high-fat diet.

3. The aging phenotype of many mouse models is very limited by 18 months of age (survival rates are usually >75%) and the lack of an older group with lower survival rates is not justified in the manuscript.

We have now included this point as a limitation in our discussion: “A key limitation of this study was the absence of an older age group (>18-months) with lower survival rates, as aging phenotypes in many mouse models remain relatively mild at 18-months”.

4. The characterization of autophagy flux is limited to the GFP:RFP ratio in cells of interest, but other measurements (e.g., puncta per cell, LC3 abundance are not presented).

We have now included quantification of autophagosomes (GFP+RFP puncta) and autolysosomes (RFP only puncta) for the heart (Figure S3A-D) and motor cortex neurons (Figure S5A-D) which were used to calculate autophagosome/autolysosome ratios (GFP+RFP / RFP only puncta) presented in main figures (Figure 3A-D and 4A-D). We have also provided immunoblot analysis of tf-LC3B (anti-GFP) and endogenous LC3B in the heart (Figure S4A and S4B).

5. The presumed DAPI+ of lipofuscin granules is intriguing. It would be expected that pigment granules containing lipofuscin would be cytosolic (mostly lysosomes) and lacking DNA (e.g., PLoS ONE 2024; 19(7): e0306275. https://doi.org/10.1371/journal.pone.0306275). This aspect of the work is insufficiently presented to provide confidence in this methodological approach to address autofluorescence in the brain, particularly in older animals.

You are correct that lipofuscin lacks DNA. However, due to its broad autofluorescence (excitation: 320–480 nm / emission: 460–630 nm), it can still be detected using the DAPI filter set (PMID: 16455164; PMID: 20072918), even though it is not DAPI-positive. Upon review, we recognized that our original wording was inaccurate and potentially misleading, and we have now corrected the text: “because lipofuscin throughout the brain exhibits broad autofluorescence, we excluded GFP+ or RFP+ puncta that appeared in the DAPI channel from our analysis”.

You also correctly note that lipofuscin is cytoplasmic and can localize to lysosomes. In our study, we adopted a conservative approach when analyzing brain tissue, quantifying only puncta that were not detected using the DAPI filter. This strategy minimized the risk of mistaking fluorescent artifacts for autophagosomes or autolysosomes (Figure S5D and S5E). Our approach was based on recommendations from a study using the GFP-LC3B mouse (PMID: 14699058). However, we acknowledge that this method may lead to an underrepresentation of autolysosomes containing lipofuscin. We have now addressed this limitation in our manuscript: “Excluding lipofuscin in the brain reduced the risk of misidentifying fluorescent artifacts as autophagosomes or autolysosomes, but it also meant that autolysosomes containing lipofuscin were excluded.”

6. Many essential methodological aspects of confocal fluorescence imaging (e.g., image acquisition, selection of dynamic range, quantification of puncta) are not provided. These aspects are particularly important for the model characterization and the tissue-based measures. For example, sarcomeres appear visible on some of the GFP images of the heart.

We have now included additional information relating to image acquisition in the “Confocal microscopy for tf-LC3 mouse tissues” section of methods: “Images were taken from the same region for each animal for continuity, and focused and imaged using the DAPI channel”.

Information relating to quantification of puncta was outlined in detail in the “Analysis of tf-LC3B puncta to monitor autophagic flux in tissues” section of methods.

We did not establish dynamic range for our imaging. However, consistent confocal acquisition settings were used throughout the time course, and images were acquired and analysed under blinded conditions. Since our image analysis converts puncta signals into a binary format, eliminating intensity-related information, dynamic range was less critical in the context of our experiments.

We have now included additional information relating to GFP+ signal associated with heart sarcomeres in the “Analysis of tf-LC3B puncta to monitor autophagic flux in tissues” section of methods: “In some images, sarcomeres were visible in the GFP channel. However, because their signal was diffuse throughout the cell rather than compact like autophagosomes, they did not interfere with the analysis of GFP+ puncta after thresholding and particle analysis”. It is worthwhile to note that others using GFP-LC3B mice also see GFP+ signals associated with sarcomeres when imaging muscle tissues (PMID: 25484088).

7. Corroborative information would be useful in comparing the measured changes in autophagy flux with other measures of autophagy. For instance, there appears to be very low levels of GFP detected suggesting the near absence of autophagosomes. Whether there are global changes in LC3 protein is not clear.

Since autophagy is a dynamic process, static measurements of individual proteins cannot reliably be used to measure autophagic flux (PMID: 33634751). For example, LC3B-II levels alone are uninformative—high LC3B-II levels may result from either increased autophagosome formation or impaired lysosomal turnover, while low LC3B-II levels could reflect reduced autophagosome formation or enhanced degradation by lysosomes.

To corroborate our findings, we have generated protein expression data for key components of the autophagy pathway to offer additional context. We have now provided immunoblots of heart lysates from male and female tf-LC3B mice fed either a chow or high-fat diet over the time course (Figure S4A and S4B). The heart was selected as it is a homogeneous tissue (in terms of cell type) where autophagic flux changes with age (in both sexes) and with a high-fat diet (in males only). The immunoblots were probed for multiple components of the autophagy pathway, including initiation machinery, the VPS34 complex, lipid scramblase, ATG8 conjugation machinery, ATG8 proteins, autophagy receptors, and lysosomal enzymes. However, we found no clear relationship between the expression of these components and autophagic flux.

Our data suggest that when autophagic flux is high, only a few autophagosomes are present (e.g., ~1 autophagosome per field at 6 months of age in the heart). As flux slows with aging, the number of autophagosomes increases (e.g., ~20 per field at 24 months). This low abundance of autophagosomes during high flux is due to rapid delivery to lysosomes. Critically, the low autophagosome abundance we observe in our study is consistent with previous work using GFP-LC3B mice (PMID: 14699058).

Global changes in tf-LC3B levels in chow-fed mice (detected via immunoblot with an anti-GFP antibody) were stable across time points (Figure S4A and S4B). However, we do observe a minor increase in tf-LC3B levels in high-fat diet-fed mice (Figure S4A and S4B).

8. The analyses of GFP:RFP ratio presented in figs. 2-4 only reflect mean values per cell/field, clustered across animals, and there is no information presented on the variability across cells within animals, which may be of interest given expected increases in heterogeneity with older age.

We have now included quantification of variability in autophagic flux for each mouse. We provide a coefficient of variation (CV) for each mouse based on autophagic flux values taken from 10 images per animal for the heart (Figure S3E and S3F) and motor cortex neurons (Figure S6E and S6F), or ~50,000 PBMCs analysed in blood (Figure S2B and S2C).

In the blood, variability in autophagic flux readings is low (CV = ~0.5 - 0.6) and remains stable over time (Figure S2B and S2C).

In the heart, variability in autophagic flux readings is moderate (CV = ~1 - 2) at 6-months of age (i.e., when autophagic flux is high) but decreases to a low level (CV = ~0.5) at later time points (i.e., when autophagic flux is lower) (Figure S3E and S3F).

In female motor cortex neurons, variability in autophagic flux readings is moderate (CV = ~2) and remains stable over time (Figure S6E). In male motor cortex neurons, variability in autophagic flux readings is high (CV = ~4) in chow fed mice and moderate in high-fat diet mice (CV = ~2) at 6 months of age (Figure S6F). Variability in autophagic flux readings reduced with age to moderate levels (CV = ~2) in chow fed mice, but remained relatively stable in those fed a high-fat diet (Figure S6F).

Therefore, variability in autophagic flux readings does not increase with age, but rather decreases or remains stable depending on tissue, diet or sex.

9. Concluding statements regarding aging effects on autophagy flux in the heart and brain (results sections and first paragraph of the Discussion) do not seem to be supported by the figures. There are no significant post-hoc differences highlighted in Fig 3B or 4B/D, even if a main age effect is reported. None of the diet effects were significant in the 2-way ANOVA and a significant interaction with age was only reported in the male heart.

Although there was a main effect for age in the female heart (p<0.0001) (Figure 3B) and brain (p=0.015) (Figure 4B) post-hoc analysis was not performed because age*diet interactions were not significant (p>0.05). We have therefore softened the conclusions and descriptions of these results in the text.

MINOR COMMENTS:

1. The quantification of GFP:RFP ratios is insufficiently presented in the results and figure legends to facilitate interpretation (Fig. 2 uses “median fluorescence intensity”, Figs. 3 and 4 “puncta per field”.

It was necessary to report ratiometric data differently for each tissue due to variations in tissue complexity or analysis method.

PBMCs: Flow cytometry was used to measure GFP and RFP fluorescence intensity per cell. Since flow cytometry is not imaging-based, it was not possible to analyze autophagosome/autolysosome puncta in PBMCs. We have successfully used flow cytometry to measure autophagic flux in this manner previously (PMID: 28641977).

Heart cells: Due to their large size, imaging at a magnification suitable for resolving autophagosomes/autolysosomes made it difficult to capture entire cells within a single field of view. As a result, we analyzed puncta per field of view rather than per cell.

Motor cortex neurons: We identified neurons based on DAPI morphology (Figure S5B and S5C), allowing us to distinguish them from other cell types such as microglia and astroglia. This distinction enabled us to analyze puncta per neuron rather than per field.

We have acknowledged these methodological differences as a limitation in the Discussion section: “Ratiometric readouts varied depending on tissue complexity or analytical technique used (e.g., puncta per cell [brain], puncta per field of view [heart] and median fluorescence intensity [blood]), meaning that autophagic flux could not be directly compared between tissues”.

2. Post hoc analysis in suppl. Fig. 1B are not presented despite a significant age effect.

There was a main effect for age relating to fasting blood glucose levels in females (p<0.0001) (Figure S1B). However, post-hoc analysis was not performed because the age*diet interaction was not significant (p=0.629).

3. Statements in the text regarding tumor frequency seem to be based on only 8 animals per age/diet/sex group (suppl. Fig. 1D, 1E). A tumor-free survival curve is likely obtainable for the aging colony.

As per comment #1 we have now provided a survival curve.

4. The section on motor cortex neurons suggests that p62/SQSTM1 puncta were identified, but there is no such data in any of the figures (including supplemental).

We adjusted the color balance and swapped the pseudocoloring of SQSTM1 (green) and NeuN (red) to enhance the visibility of SQSTM1 puncta (Figure S7A and S7C).

Reviewer 2

In their manuscript, Carosi et al. analyze autophagy in PBMCs, heart and motor cortex neurons during aging and high-fat diet. For that, they use a transgenic mouse expressing a tandem- fluorescent LC3 reporter (RFP-GFP-LC3), which allows the quantification of autophagic activity. They show that autophagy changes differently across the different tissues analyzed, with differences in response to aging and HFD, and between males and females. The manuscript addresses an interesting topic, and tries to elucidate how autophagy changes during aging and HFD in different tissues. However, there are some concerns the authors should address to add strength to their conclusions.

1. The main issue with the data shown in this manuscript is that the authors have only used the transgenic mouse model expressing RFP-GFP-LC3 reporter. Although very useful, it has some limitations (as the authors state in their conclusions). The activity and acidity of the lysosome are two key aspects in the interpretation of the results obtained using this technique. For example, changes in lysosomal degradation without changes in the pH would lead to the misinterpretation of the results. In this regard, I suggest the authors to evaluate lysosomal activity and pH. Although challenging in tissues in vivo, they can assess it easily in PBMCs using lysosensor and other probes that can be used for flow cytometry.

We acknowledge that analyzing PBMCs using lysosomal pH or acidity probes would provide valuable insights in this study. However, addressing age-dependent changes using this approach would require a significant time investment.

To address this concern, we instead analyzed samples collected throughout the time course by monitoring activation of the lysosomal enzyme CTSD. After synthesis, pre-pro-CTSD undergoes cleavage in the ER to remove its signal peptide, forming pro-CTSD (~52 kDa). This proenzyme is then cleaved by CTSL/CTSB, producing the catalytically active mature CTSD (~34 kDa) (PMID: 16567401). The formation of mature CTSD

Attachments
Attachment
Submitted filename: Responses to Reviewer Comments.pdf
Decision Letter - Bin Wu, Editor

Dear Dr. Sargeant,

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 submit your revised manuscript by Jun 06 2025 11:59PM. 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.

  • 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 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: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols . Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols .

We look forward to receiving your revised manuscript.

Kind regards,

Bin Wu, M.D. & Ph.D.

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

The authors have succesfully addressed my questions.

However, it would be important to provide quantifications of the WB for autophagic proteins and cathepsin D.

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

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Reviewer #2: (No Response)

**********

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

Reviewer #2: Yes

**********

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

Reviewer #2: Yes

**********

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

The PLOS Data policy

Reviewer #2: Yes

**********

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

Reviewer #2: Yes

**********

Reviewer #2: The authors have succesfully addressed my questions.

However, it would be important to provide quantifications of the WB for autophagic proteins and cathepsin D.

**********

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 #2: 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

Revision 2

Response to reviewers:

We have now revised the paper in response to the editor/reviewer #2’s comment: “it would be important to provide quantifications of the WB for autophagic proteins and cathepsin D”.

We have provided quantifications of protein levels from immunoblots in Supplementary Figure 4A and B as heatmaps in Supplementary Figure 4C and D.

Attachments
Attachment
Submitted filename: Response to Reviewers.pdf
Decision Letter - Bin Wu, Editor

Autophagy across tissues of aging mice

PONE-D-24-49236R2

Dear Dr. Sargeant,

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 will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager®  and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, 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,

Bin Wu, M.D. & Ph.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Formally Accepted
Acceptance Letter - Bin Wu, Editor

PONE-D-24-49236R2

PLOS ONE

Dear Dr. Sargeant,

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

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

You will receive further instructions from the production team, including instructions on how to review your proof when it is ready. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few days to review your paper and let you know the next and final steps.

Lastly, 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 customercare@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

Professor Bin Wu

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 .