Huaxu Yu’s research while affiliated with University of British Columbia and other places

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Publications (35)


Early-Life gut inflammation drives sex-dependent shifts in the microbiome-endocrine-brain axis
  • Article

December 2024

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18 Reads

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2 Citations

Brain Behavior and Immunity

Olivia Sullivan

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Claire Sie

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Insulin/insulin-like growth factor signaling pathway promotes higher fat storage in Drosophila females
  • Preprint
  • File available

November 2024

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25 Reads

In most animals, adult females store more fat than males. While the mechanisms that restrict body fat in males are becoming clearer, less is known about how females achieve higher fat storage. Here, we use Drosophila melanogaster to advance knowledge of mechanisms that promote fat storage in females. We show greater intake of dietary sugar supports higher fat storage due to female-biased remodeling of the fat body lipidome. Dietary sugar stimulates a female-specific increase in Drosophila insulin-like peptide 3 (Dilp3), which acts together with greater peripheral insulin sensitivity to augment insulin/insulin-like growth factor signaling pathway (IIS) activity in adult females. Given that adult-specific IIS inhibition reduced the sex difference in fat storage due to a female-biased decrease in body fat, our data reveal IIS as a key determinant of female fat storage.

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Figure 1. (A) Schematics of the sum, median, PQN, MDFC, quantile, and class-specific quantile normalization methods. (B) HIV saliva dataset. Venn diagram of the statistically significant features (two-tailed Wilcoxon rank-sum test p-value <0.05 and FC > 1.5 or FC < 0.67) after using the sum and quantile normalization methods. (C) Number of statistically significant features detected in each pre-normalized and normalized feature table in the HIV dataset.
Figure 2. (A) Schematic workflow for the two-sample simulations where the normalization factors (k′) were benchmarked against the simulated dilution factor (k). Note that the values shown here are only intended to clarify the workflow. (B) Heatmaps comparing the results from the twosample simulations for the sum, median, PQN, and MDFC normalization methods.
Figure 3. (A) Schematic of the benchmarking for the multi-sample simulations. (B) Spider charts showing the results for the multi-sample simulations. Balanced and unbalanced data for the pre-normalized, sum, median, PQN, MDFC, quantile, and class-specific quantile methods were evaluated.
Figure 4. (A) Experimental design for investigating the impact of metabolic interference on normalization performance. The calculated normalization factors (k′) were benchmarked against the experimental dilution factors (k). (B) Results for the metabolic interference experiments for urine samples spiked with water and plasma. The black dashed line represents a perfectly accurate normalization factor.
Figure 5. Data quality impacts normalization performance. The 50% urine sample in each urine dataset (A−D) was normalized to the 100% urine sample using MDFC. k′ represents the normalization factor while k is the experimental dilution factor. The black dashed line represents the expected values. (A) The normalization factors when only non-biological metabolic features were used for calculations. (B) The normalization factors when only features with poor quantitative performance were used for calculations. (C) Fold change compression resulted in biased median ratios even after removing non-biological metabolic features and features with poor quantitative performance. (D) Two-sample simulations showing the impact of missingness and imputation on normalization performance.

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Closing the Knowledge Gap of Post-Acquisition Sample Normalization in Untargeted Metabolomics

October 2024

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16 Reads

ACS Measurement Science Au

Sample normalization is a crucial step in metabolomics for fair quantitative comparisons. It aims to minimize sample-to-sample variations due to differences in the total metabolite amount. When samples lack a specific metabolic quantity to accurately represent their total metabolite amounts, post-acquisition sample normalization becomes essential. Despite many proposed normalization algorithms, understanding remains limited of their differences, hindering the selection of the most suitable one for a given metabolomics study. This study bridges this knowledge gap by employing data simulation, experimental simulation, and real experiments to elucidate the differences in the mechanism and performance among common post-acquisition sample normalization methods. Using public datasets, we first demonstrated the dramatic discrepancies between the outcomes of different sample normalization methods. Then, we benchmarked six normalization methods: sum, median, probabilistic quotient normalization (PQN), maximal density fold change (MDFC), quantile, and class-specific quantile. Our results show that most normalization methods are biased when there is unbalanced data, a phenomenon where the percentages of up- and downregulated metabolites are unequal. Notably, unbalanced data can be sourced from the underlying biological differences, experimental perturbations, and metabolic interference. Beyond normalization algorithms and data structure, our study also emphasizes the importance of considering additional factors contributed by data quality, such as background noise, signal saturation, and missingness. Based on these findings, we propose an evidence-based normalization strategy to maximize sample normalization outcomes, providing a robust bioinformatic solution for advancing metabolomics research with a fair quantitative comparison.



Figure 3. bmm regulates germline lipid droplets (LD) in a cell-autonomous manner. (a, B) Single confocal slices through a representative testis isolated from an individual carrying clones induced using the FLP-FRT system at 3 days post-clone induction. Clones are homozygous for an allele that encodes a functional bmm protein product (bmm rev ; A-A''') or a loss-of-function bmm allele (bmm 1 , B-B'''). GFP-negative areas mark homozygous clones in panels A and B; the boxed areas in A, A'' and B, B'' are shown in A', A''' and B', B''', respectively. In homozygous bmm rev spermatocyte clones we detected no LD using neutral lipid dye LipidTox (A'', A'''). In contrast, spermatocyte clones homozygous for bmm 1 have detectable LD (B'', B''', arrows). Scale bars = 50 μm in A, A'' and B, B''; scale bars = 10 μm in A', A''' and B', B'''. (C) Number of testis LD in bmm rev (gray) or bmm 1 (orange) in FLP-FRT clones 3 days post-clone induction; dots represent measurements from a single clone. The number of cells in each cyst (CC) counted is indicated. There were significantly more LD in bmm 1 spermatocyte (SC) clones (p = 0.026; Welch two-sample t-test) but not at other stages of development. Error bars represent standard error of the mean (SEM).
Figure 6. Model of bmm-mediated lipid droplet regulation in the Drosophila testis. Schematic representation summarizing bmm-mediated lipid droplet regulation in the testis during development.
An important role for triglyceride in regulating spermatogenesis

May 2024

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69 Reads

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4 Citations

eLife

Drosophila is a powerful model to study how lipids affect spermatogenesis. Yet, the contribution of neutral lipids, a major lipid group which resides in organelles called lipid droplets (LD), to sperm development is largely unknown. Emerging evidence suggests LD are present in the testis and that loss of neutral lipid- and LD-associated genes causes subfertility; however, key regulators of testis neutral lipids and LD remain unclear. Here, we show LD are present in early-stage somatic and germline cells within the Drosophila testis. We identified a role for triglyceride lipase brummer ( bmm ) in regulating testis LD, and found that whole-body loss of bmm leads to defects in sperm development. Importantly, these represent cell-autonomous roles for bmm in regulating testis LD and spermatogenesis. Because lipidomic analysis of bmm mutants revealed excess triglyceride accumulation, and spermatogenic defects in bmm mutants were rescued by genetically blocking triglyceride synthesis, our data suggest that bmm -mediated regulation of triglyceride influences sperm development. This identifies triglyceride as an important neutral lipid that contributes to Drosophila sperm development, and reveals a key role for bmm in regulating testis triglyceride levels during spermatogenesis.


Figure 6. Early life inflammation causes long-lasting physiological differences and changes to microbiota composition. A. Diversity of microbiota composition ~30 days after cessation of
Early life intestinal inflammation alters gut microbiome, impairing gut-brain communication and reproductive behavior in mice

May 2024

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50 Reads

Despite recent advances in understanding the connection between the gut microbiota and the brain, there remains a wide knowledge gap in how gut inflammation impacts brain development. Microbiota-derived metabolite signaling from the gut to the brain is required for normal development of microglia, the brain’s resident immune cells. Disruption of the microbiota-brain communication has been linked to impaired behaviours and Autism Spectrum Disorder. We hypothesized that intestinal inflammation in early life would negatively affect neurodevelopment through dysregulation of microbiota communication to brain microglia. To test this hypothesis, we developed a novel pediatric model of Inflammatory Bowel Disease (IBD). IBD is an incurable condition affecting millions of people worldwide, characterized by chronic intestinal inflammation, and has comorbid symptoms of anxiety, depression and cognitive impairment. Significantly, 25% of IBD patients are diagnosed during childhood, and the effect of chronic inflammation during this critical period of development is largely unknown. We developed a chemical model of pediatric chronic IBD by repeatedly treating juvenile mice with dextran sodium sulfate (DSS) in drinking water. DSS-treated mice displayed increased intestinal inflammation, altered microbiota and changes in circulating metabolites. We also found that alterations in gut microbiota had long-term impacts on female microglia and male sex-specific behaviours and testosterone regulation, consistent with delayed puberty observed in male IBD patients. Our research expands our understanding of microbiota-microglia communication underlying development. The gut-brain axis is an exciting target for personalized medicine as microbiome manipulations could be feasible for early intervention to reverse deficits due to juvenile inflammation. Highlights Early life gut inflammation produces sex-specific i) microbiome, ii) sex hormone and iii) behavioural impacts Both sexes show disrupted gut bacterial members that regulate sex hormone levels Male mice demonstrate deficits in mate seeking, which may be mediated by reduced seminal vesicle mass and reduced androgen levels Female mice lack behavioural deficits, but demonstrate increased amoeboid microglia in the hippocampus


An important role for triglyceride in regulating spermatogenesis

March 2024

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9 Reads

Drosophila is a powerful model to study how lipids affect spermatogenesis. Yet, the contribution of neutral lipids, a major lipid group which resides in organelles called lipid droplets (LD), to sperm development is largely unknown. Emerging evidence suggests LD are present in the testis and that loss of neutral lipid- and LD-associated genes causes subfertility; however, key regulators of testis neutral lipids and LD remain unclear. Here, we show LD are present in early-stage somatic and germline cells within the Drosophila testis. We identified a role for triglyceride lipase brummer ( bmm ) in regulating testis LD, and found that whole-body loss of bmm leads to defects in sperm development. Importantly, these represent cell-autonomous roles for bmm in regulating testis LD and spermatogenesis. Because lipidomic analysis of bmm mutants revealed excess triglyceride accumulation, and spermatogenic defects in bmm mutants were rescued by genetically blocking triglyceride synthesis, our data suggest that bmm -mediated regulation of triglyceride influences sperm development. This identifies triglyceride as an important neutral lipid that contributes to Drosophila sperm development, and reveals a key role for bmm in regulating testis triglyceride levels during spermatogenesis.


Capture of Endogenous Lipids in Peptidiscs and Effect on Protein Stability and Activity

March 2024

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53 Reads

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3 Citations

iScience

Compared to protein–protein and protein–nucleic acid interactions, our knowledge of protein-lipid interactions remains limited. This is primarily due to the inherent insolubility of membrane proteins (MPs) in aqueous solution. The traditional use of detergents to overcome the solubility barrier destabilizes MPs and strips away certain lipids that are increasingly recognized as crucial for protein function. Recently, membrane mimetics have been developed to circumvent the limitations. In this study, using the peptidisc, we find that MPs in different lipid states can be isolated based on protein purification and reconstitution methods, leading to observable effects on MP activity and stability. Peptidisc also enables re-incorporating specific lipids to fine-tune the protein microenvironment and assess the impact on downstream protein associations. This study offers a first look at the illusive protein-lipid interaction specificity, laying the path for a systematic evaluation of lipid identity and contributions to membrane protein function.



An important role for triglyceride in regulating spermatogenesis

February 2024

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10 Reads

Drosophila is a powerful model to study how lipids affect spermatogenesis. Yet, the contribution of neutral lipids, a major lipid group which resides in organelles called lipid droplets (LD), to sperm development is largely unknown. Emerging evidence suggests LD are present in the testis and that loss of neutral lipid- and LD-associated genes causes subfertility; however, key regulators of testis neutral lipids and LD remain unclear. Here, we show LD are present in early-stage somatic and germline cells within the Drosophila testis. We identified a role for triglyceride lipase brummer ( bmm ) in regulating testis LD, and found that whole-body loss of bmm leads to defects in sperm development. Importantly, these represent cell-autonomous roles for bmm in regulating testis LD and spermatogenesis. Because lipidomic analysis of bmm mutants revealed excess triglyceride accumulation, and spermatogenic defects in bmm mutants were rescued by genetically blocking triglyceride synthesis, our data suggest that bmm - mediated regulation of triglyceride influences sperm development. This identifies triglyceride as an important neutral lipid that contributes to Drosophila sperm development, and reveals a key role for bmm in regulating testis triglyceride levels during spermatogenesis.


Citations (17)


... The progression of IBD has been shown to interfere with the regulation of hormone production in the body. For instance, a study demonstrated that mice with early-stage DSS-induced enterocolitis exhibited significantly smaller seminal vesicles and reduced levels of circulating androgens (9). Similarly, male patients with CD were found to have markedly lower serum levels of testosterone, estradiol, and sex hormone-binding globulin compared to healthy individuals (10). ...

Reference:

Causal relationship between inflammatory bowel disease and sex: a Mendelian randomization study
Early-Life gut inflammation drives sex-dependent shifts in the microbiome-endocrine-brain axis
  • Citing Article
  • December 2024

Brain Behavior and Immunity

... Lipid droplets are storage organelles at the center of lipid and energy homeostasis, playing an important role in lipid homeostasis regulation and testicular spermatogenesis [36][37][38]. With the increasing attention on ferroptosis, the relationship between lipid droplets and ferroptosis needs further exploration urgently. ...

An important role for triglyceride in regulating spermatogenesis

eLife

... However, the literature on the role of CCL21-CCR7 signaling in brain tumors is limited. A recent study showed that lymphatic endothelial-like cells present in GBM could promote growth of CCR7-positive glioblastoma stem cells through CCL21 secretion [62]. It is also reported that CCL21-CCR7 signaling promotes microglia/macrophage recruitment and chemotherapy resistance in GBM [19]. ...

Lymphatic endothelial-like cells promote glioblastoma stem cell growth through cytokine-driven cholesterol metabolism

Nature Cancer

... Therefore, implementing robust sample normalization protocols is crucial to minimize these variations, ensuring that observed MS signal differences are representative of actual biological phenomena rather than inconsistencies in sample preparation. In the metabolomics data analysis pipeline, various data-driven computational strategies like post-acquisition sample normalization, instrument-oriented drifting of signals, linearity of MS signal, and computational variations are considered important and are adopted in data analysis software [126]. ...

Quantitative challenges and their bioinformatic solutions in mass spectrometry-based metabolomics
  • Citing Article
  • February 2023

TrAC Trends in Analytical Chemistry

... Metabolomics studies have already proven their great potential coupled with highthroughput techniques to perform metabolic profiling and evaluate significantly discriminative biomarkers between healthy and diseased groups that may contribute to neurodegeneration [18][19][20][21][22][23][24]. Moreover, the high-throughput capabilities of modern MS systems enable the analysis of large sample cohorts, enhancing the statistical power of studies and the reliability of the potential biomarkers identified [25]. When compared to traditional clinical diagnostic methods, untargeted lipidomics offers a more detailed molecular insight into disease mechanisms. ...

Addressing Big Data Challenges in Mass Spectrometry-Based Metabolomics

Chemical Communications

... Accordingly, metabolomic data require pretreatment to satisfy such assumption, improve statistical power and thinning confidence intervals [10]. One approach to improve data normality is through Box-Cox Transformation (BCT) since it performs a non-linear operation on observations to reshape a skewed distribution into a more symmetrical form [11]. Recent literature has introduced the Adaptive Box-Cox Transformation (ABC) to improve data normality using the BCT concept [12]. ...

Adaptive Box–Cox Transformation: A Highly Flexible Feature-Specific Data Transformation to Improve Metabolomic Data Normality for Better Statistical Analysis
  • Citing Article
  • June 2022

Analytical Chemistry

... This work studied and compared six post-acquisition sample normalization methods, including five commonly used methods: sum, median, quantile, class-specific quantile, probabilistic quotient normalization (PQN), and the recently developed maximal density fold change (MDFC). 8 In the algorithms of sum, median, PQN, and MDFC, samples were normalized against a reference sample, which is the sample with the fewest missing values. Notably, for the MDFC method, the bandwidth was optimized to be 0.3 (Text S1). ...

MAFFIN: Metabolomics Sample Normalization Using Maximal Density Fold Change with High-Quality Metabolic Features and Corrected Signal Intensities
  • Citing Article
  • May 2022

Bioinformatics

... Moreover, JPA also surpassed the conventional centWave algorithm by detecting 2.3-fold more exposure chemicals from a standard mixture containing 505 drugs and pesticides. 16 On the other hand, enhancing feature extraction sensitivity usually comes with an increase in false positive features. False positive metabolic features can reduce the confidence of downstream statistical and biological interpretations. ...

JPA: Joint Metabolic Feature Extraction Increases the Depth of Chemical Coverage for LC-MS-Based Metabolomics and Exposomics

Metabolites

... Maintaining optimal inventory balance, as emphasized, aligns with prior research [11]. Competent managers impact financial performance through sales growth, cost savings, and efficient negotiations, consistent with the literature [46]. The discussions on order timing correspond with the literature's assertion about competent managers' decisions [33], and continuous training and improvement correlate with previous research [33]. ...

Comprehensive assessment of the diminished statistical power caused by nonlinear electrospray ionization responses in mass spectrometry-based metabolomics
  • Citing Article
  • April 2022

Analytica Chimica Acta

... One of the major ways in which this manuscript differs from prior work is its focus on summary statistics calculated across multiple files. Most existing peakpicking literature uses the single-file EIC peak as the core bit of training data, but that approach ignores critical information obtained elsewhere in the MS run that can change the judgement made on a single chromatogram [4,12,13]. Features that are high quality are typically represented in multiple files, especially in quality control pooled samples, and a feature that only has a peak in a single file is typically regarded as highly suspect, if not removed entirely. Classifying an entire feature at once not only has the advantage of reducing the amount of manual labor by a factor equal to the number of files in the run (typically 10s-100s smaller) but is also a better representation of the judgement made by an MS expert. ...

EVA: Evaluation of Metabolic Feature Fidelity Using a Deep Learning Model Trained With Over 25000 Extracted Ion Chromatograms

Analytical Chemistry