Comments
Write a commentNo comments have been published yet.
This review incorporates comments and contributions from Femi Arogundade, Randa Salah Gomaa Mahmoud, Teena Bajaj, Chen Yang, Faith Onditi, and Gliday Yuka. This review was synthesized by Femi Arogundade.
Summary of the Study:
The study investigates the role of Hexokinase domain-containing protein 1 (HKDC1) in Metabolic dysfunction-associated steatohepatitis (MASH), focusing on female mice. They found that HKDC1 levels were elevated in MASH patients and correlated with disease severity. Using a liver-specific HKDC1 knockout (HKDC1LKO) mouse model, they demonstrated that HKDC1 deletion protected mice from obesity, glucose intolerance, liver damage, and inflammation. The findings suggest that HKDC1 influences inflammation, metabolism, and gut health, making it a potential therapeutic target for MASH, particularly in women.
Positive Aspects of the Study:
The study provides new insights into HKDC1’s role in MASH, particularly in female mice.
Findings suggest HKDC1 as a potential therapeutic target, which could help in developing new treatments for MASH.
The use of liver-specific HKDC1 knockout (HKDC1LKO) mice allows for good mechanistic insights into HKDC1’s role in disease progression.
The study examines multiple aspects of MASH, including metabolic function, inflammation, and gut microbiome.
Major Comments:
The materials and methods section needs to be rearranged so all the animal procedures are put together and the human procedures are presented in one section.
The materials and methods section should be reorganized to clearly describe what samples were collected, when and how they were collected, and what assays were conducted for each of these samples.
The study focused only on female mice, making it impossible to draw direct sex-specific comparisons.
The animal experiment section states: “When mice reached 8 weeks of age, Western diet (Research diet, D12079Bi, NJ, USA) or normal chow (Envigo-7912, IN, USA) were given for 28 weeks.” However, study design in Figure 1 shows 20 weeks. Clarify how long the mice were fed on either diet.
The composition of the Western diet should be described in detail.
The statement: “Glucose (2mg glucose ip/g) and pyruvate (2mg sodium pyruvate ip/g) tolerance tests were performed in overnight fasted mice.” The results of this test were not illustrated; consider adding relevant data.
In the Body Composition, Glucose Homeostasis, and Metabolic Rate section, samples used for conducting the tests should be clearly described (e.g., how much blood was obtained from the lateral vein?).
Specify whether each mouse underwent all tests sequentially (overnight fasting → glucose/pyruvate tolerance test → continued fasting for 4 hours for insulin tolerance test).
Explain AUC (Area Under the Curve) in Figures 4B and 4D.
While gut microbiome changes were observed, causality was not fully established.
Provide clarity regarding food access. The first paragraph of the Methods section states that the mice had ad libitum access to food, implying unrestricted feeding. However, the Food Intake section describes the use of BioDAQ cages for monitoring food intake, along with an acclimatization period. Clarify whether food remained available ad libitum during the measurement period and whether the acclimatization phase involved any temporary restrictions.
Details of histopathology examination were not mentioned in the Materials and Methods section.
Minor Comments:
Title Revision: The study design includes both human and animal protocols; however, the title only mentions animals without specifying gender. The title should be revised to reflect both aspects. Also, identify the abbreviation in the title as Hexokinase domain-containing protein 1 (HKDC1) and Metabolic dysfunction-associated steatohepatitis (MASH).
In the Abstract section, include a clear summary of methods.
The hypothesis should be clearly stated in the Abstract.
Identify MASLD as Metabolic Dysfunction-Associated Steatotic Liver Disease in the Abstract.
In the introduction the statement “The rise in mortality rates for females, from 0.2 to 2 per 100,000, with an average annual percent change (AAPC) of 11.7% (p<0.001), compared to the rise in males, from 0.2 to 1.3 per 100,000 with an AAPC of 9.3% (p<0.001)” should be restructured. If p-value (p<0.001) indicates a significant difference between males and females, it should be mentioned once at the end of the comparison sentence.
In the introduction, the statement “Current estimates suggest that up to 25% of the global population may be affected by MASLD…” should include mortality rates and statistics on MASH-related complications.
In the introduction the statement “While MASH tends to initially affect younger males more frequently, it’s important to recognize that females over 60 experience a higher prevalence of MASH,” specify the age range for “younger males” and revise “females over 60” to “females over 60 years.”
In the Anthropometric and Biochemical Measurements section, the statement: “Preoperative clinical data were collected on the day of the surgery after an overnight fast of at least 12 hours and serum was separated by centrifugation.” should be revised to replace clinical data with blood samples for clarity.
Provide key references in the introduction for the following statements/facts:
“Central to the development of MASH is the dysregulation of both glucose and lipid metabolism…………. and subsequent fibrogenesis ”
“Unlike other members of the hexokinase family, which are ubiquitously expressed and primarily function in glycolysis……………… and lipid metabolism further underscores its potential significance in MASH pathogenesis”
Identify NEFA as Non-Esterified Fatty Acid.
Identify GSEA as Gene Set Enrichment Analysis.
In the Discussion section:
The statement: “MASH has become a health concern as its global prevalence rate is 30%” - The 30% prevalence refers to MASLD, not MASH. Cite recent data separately for both.
“Strong positive correlation” needs actual r-values and p-values. The phrase “strong positive correlation” should be supported with r-values and p-values (e.g., “Our human cohort data established a strong positive correlation (r=..., p=...) between hepatic HKDC1 expression and MASLD progression in females”). Provide specific statistical values.
The statement: “Notably, our female mice (~36 weeks of age at the end of the experimental period) would not have reflected menopausal phenotype, again underscoring the nutrient excess-HKDC1 expression link.” Consider citing literature on modelling menopause in rodents and clarifying the claim.
Comments on Reporting (Information on the Statistical Analyses or Availability of Data):
Statistical Methodology Issues:
Authors state "means ± standard error of deviation (SD)," which is incorrect. It should be either standard error (SE) or standard deviation (SD).
No justification provided for choice between Tukey vs. Bonferroni post-hoc tests.
No mention of testing for homogeneity of variance before conducting ANOVA.
Lack of details on normality assessment for small sample sizes.
Missing Information:
No description of how outliers were identified and handled.
No mention of sample size calculations or power analysis.
No specifics about RNA-seq analysis parameters (e.g., FDR correction method).
No details about metabolomics data preprocessing and normalization.
Reporting Gaps:
No mention of effect sizes.
No information about which specific tests were used for which comparisons.
No statement about data availability.
Identify DEG as Differentially expressed genes.
Suggestions for Future Studies:
Investigate the relationship between HKDC1 and cholesterol/bile acid metabolism more deeply to strengthen mechanistic conclusions.
Investigate HKDC1 expression in male MASH models and compare with females to determine sex-specific effects.
Conduct studies on postmenopausal women to assess hormonal influence on HKDC1-mediated MASH progression.
The authors declare that they have no competing interests.
No comments have been published yet.