Trans-Omics Integration Reveals That the Kidney Contributes to Systemic Aging via Sexually Dimorphic Accumulation of Glycosphingolipids

Zhen Ni , Chenyin Cao , Yanlin Tian , Jinming Mu , He Tian , Zehua Wang , Shaohua Zhang , Mingjun Cao , Yuntian Yang , Wei Ling Florence Lim , Jingkang Cui , Huan Sun , Huan Miao , Yuan Wang , Jie Du , Timothy Kwok , Huan Chen , Sin Man Lam , Guanghou Shui

MedComm ›› 2026, Vol. 7 ›› Issue (3) : e70669

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MedComm ›› 2026, Vol. 7 ›› Issue (3) :e70669 DOI: 10.1002/mco2.70669
ORIGINAL ARTICLE
Trans-Omics Integration Reveals That the Kidney Contributes to Systemic Aging via Sexually Dimorphic Accumulation of Glycosphingolipids
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Abstract

Age-associated deterioration of physiological functions occurs at heterogeneous rates across individual organs. A granular evaluation of systemic metabolic mediators of aging in a healthy human cohort (n = 225) identified prominent increases in circulating uremic toxins, a finding recapitulated in mice. We connected these systemic aging profiles to renal metabolism, specifically linking glucosylceramide (GluCer) accretion to renal functional decline at late middle-age that coincides with the temporal surge in uremic toxins. Importantly, age-associated increases in circulating GluCer, largely contributed by the kidneys, are conserved from mice to humans, and are significantly associated with enhanced risk of multiple causes of mortality in aged individuals. We further showed that GluCer accumulation, commencing in late middle-age of females, impairs mitophagy via disrupting mitochondria–lysosome untethering, and undermines mitochondrial respiratory function via purine-dependent activation of mTORC1 signaling that can be rescued by pharmacological purine depletion. The resulting age-associated renal dysfunction is female-biased, likely due to sexually dimorphic GluCer handling. Our work provides a molecular basis for the sex-specific benefits of mTOR inhibition on lifespan, and highlights clinically relevant inhibitors of purine metabolism as potential senotherapeutics to mitigate kidney-driven systemic aging.

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Zhen Ni, Chenyin Cao, Yanlin Tian, Jinming Mu, He Tian, Zehua Wang, Shaohua Zhang, Mingjun Cao, Yuntian Yang, Wei Ling Florence Lim, Jingkang Cui, Huan Sun, Huan Miao, Yuan Wang, Jie Du, Timothy Kwok, Huan Chen, Sin Man Lam, Guanghou Shui. Trans-Omics Integration Reveals That the Kidney Contributes to Systemic Aging via Sexually Dimorphic Accumulation of Glycosphingolipids. MedComm, 2026, 7 (3) : e70669 DOI:10.1002/mco2.70669

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References

[1]

T. Niccoli and L. Partridge, “Ageing as a Risk Factor for Disease”. Current Biology 22, (2012): R741–R752.

[2]

Y. E. Tian, V. Cropley, A. B. Maier, N. T. Lautenschlager, M. Breakspear, and A. Zalesky, “Heterogeneous Aging Across Multiple Organ Systems and Prediction of Chronic Disease and Mortality,” Nature Medicine 29, (2023): 1221–1231.

[3]

T. Harayama and H. Riezman, “Understanding the Diversity of Membrane Lipid Composition,” Nature Reviews Molecular Cell Biology 19, (2018): 281–296.

[4]

R. Laaksonen, K. Ekroos, M. Sysi-Aho, et al., “Plasma Ceramides Predict Cardiovascular Death in Patients with Stable Coronary Artery Disease and Acute Coronary Syndromes Beyond LDL-Cholesterol,” European Heart Journal 37, (2016): 1967–1976.

[5]

A. Mantovani, S. Bonapace, G. Lunardi, et al., “Associations Between Specific Plasma Ceramides and Severity of Coronary-Artery Stenosis Assessed by Coronary Angiography,” Diabetes & Metabolism 46, (2020): 150–157.

[6]

A. M. Fretts, P. N. Jensen, A. N. Hoofnagle, et al., “Plasma Ceramides Containing Saturated Fatty Acids Are Associated with Risk of Type 2 Diabetes,” Journal of Lipid Research 62, (2021): 100119.

[7]

P. J. Meikle, G. Wong, C. K. Barlow, et al., “Plasma Lipid Profiling Shows Similar Associations with Prediabetes and Type 2 Diabetes,” PLoS ONE 8, (2013): e74341.

[8]

K. Huynh, W. L. F. Lim, C. Giles, et al., “Concordant Peripheral Lipidome Signatures in Two Large Clinical Studies of Alzheimer's Disease,” Nature Communications 11, (2020): 5698.

[9]

X. Han, D. Holtzman, and D. McKeelJr., “Plasmalogen Deficiency in Early Alzheimer's Disease Subjects and in Animal Models: Molecular Characterization Using Electrospray Ionization Mass Spectrometry,” Journal of Neurochemistry 77, (2001): 1168–1180.

[10]

R. G. Cutler, J. Kelly, K. Storie, et al., “Involvement of Oxidative Stress-Induced Abnormalities in Ceramide and Cholesterol Metabolism in Brain Aging and Alzheimer's Disease,” Proceedings of the National Academy of Sciences 101, (2004): 2070–2075.

[11]

A. Michalczyk, B. Dołęgowska, R. Heryć, D. Chlubek, and K. Safranow, “Associations Between Plasma Lysophospholipids Concentrations, Chronic Kidney Disease and the Type of Renal Replacement Therapy,” Lipids Health Diseases 18, (2019): 85.

[12]

Y. Yamaguchi, M. Zampino, R. Moaddel, et al., “Plasma Metabolites Associated with Chronic Kidney Disease and Renal Function in Adults from the Baltimore Longitudinal Study of Aging,” Metabolomics 17, (2021): 9.

[13]

K. A. Lawton, A. Berger, M. Mitchell, et al., “Analysis of the Adult Human Plasma Metabolome,” Pharmacogenomics 9, (2008): 383–397.

[14]

S. Ahadi, W. Zhou, S. M. Schüssler-Fiorenza Rose, et al., “Personal Aging Markers and Ageotypes Revealed by Deep Longitudinal Profiling,” Nature Medicine 26, (2020): 83–90.

[15]

R. Wang, B. Li, S. Lam, and G. Shui, “Integration of Lipidomics and Metabolomics for In-Depth Understanding of Cellular Mechanism and Disease Progression,” Journal of Genetics and Genomics 47, (2020): 69–83.

[16]

H. Tian, Z. Ni, S. M. Lam, et al., “Precise Metabolomics Reveals a Diversity of Aging-Associated Metabolic Features,” Small Methods 6, (2022): e2200130.

[17]

S. M. Lam, C. Zhang, Z. Wang, et al., “A Multi-Omics Investigation of the Composition and Function of Extracellular Vesicles Along the Temporal Trajectory of COVID-19,” Nature Metabolism 3, (2021): 909–922.

[18]

O. Goek, A. Döring, C. Gieger, et al., “Serum Metabolite Concentrations and Decreased GFR in the General Population,” American Journal of Kidney Diseases 60, (2012): 197–206.

[19]

W. Guder and S. Wagner, “The Role of the Kidney in Carnitine Metabolism,” Journal of Clinical Chemistry and Clinical Biochemistry 28, (1990): 347–350.

[20]

B. Hocher and J. Adamski, “Metabolomics for Clinical Use and Research in Chronic Kidney Disease,” Nature Reviews Nephrology 13, (2017): 269–284.

[21]

C. McCoin, T. Knotts, and S. Adams, “Acylcarnitines–Old Actors Auditioning for New Roles in Metabolic Physiology,” Nature Reviews Endocrinology 11, (2015): 617–625.

[22]

N. Fujiwara, H. Nakagawa, K. Enooku, et al., “CPT2 Downregulation Adapts HCC to Lipid-Rich Environment and Promotes Carcinogenesis via Acylcarnitine Accumulation in Obesity,” Gut 67, (2018): 1493–1504.

[23]

X. Wang, S. Yang, S. Li, et al., “Aberrant Gut Microbiota Alters Host Metabolome and Impacts Renal Failure in Humans and Rodents,” Gut 69, (2020): 2131–2142.

[24]

K. Saito, S. Fujigaki, M. P. Heyes, et al., “Mechanism of Increases in L-Kynurenine and Quinolinic Acid in Renal Insufficiency,” American Journal of Physiology Renal Physiology 279, (2000): F565–F572.

[25]

W. Hassan, P. Shrestha, K. Sumida, et al., “Association of Uric Acid-Lowering Therapy With Incident Chronic Kidney Disease,” JAMA Network Open 5, (2022): e2215878.

[26]

R. Vanholder, R. De Smet, G. Glorieux, et al., “Review on Uremic Toxins: Classification, Concentration, and Interindividual Variability,” Kidney International 63, (2003): 1934–1943.

[27]

S. Luo, A. Surapaneni, Z. Zheng, et al., “NAT8 Variants, N-Acetylated Amino Acids, and Progression of CKD,” Clinical Journal of American Society of Nephrology 16, (2020): 37–47.

[28]

S. Luo, E. V. Feofanova, A. Tin, et al., “Genome-wide Association Study of Serum Metabolites in the African American Study of Kidney Disease and Hypertension,” Kidney International 100, (2021): 430–439.

[29]

J. C. Chambers, W. Zhang, G. M. Lord, et al., “Genetic Loci Influencing Kidney Function and Chronic Kidney Disease,” Nature Genetics 42, (2010): 373–375.

[30]

K. Yoshioka, Y. Hirakawa, M. Kurano, et al., “Lysophosphatidylcholine Mediates Fast Decline in Kidney Function in Diabetic Kidney Disease,” Kidney International 101, (2022): 510–526.

[31]

D. Wen, Z. Zheng, A. Surapaneni, et al., “Metabolite Profiling of CKD Progression in the Chronic Renal Insufficiency Cohort Study,” JCI Insight 7, (2022): e161696.

[32]

H. Lindner, M. Täfler-Naumann, and K. Röhm, “N-Acetylamino Acid Utilization by Kidney Aminoacylase-1,” Biochimie 90, (2008): 773–780.

[33]

B. Lehallier, D. Gate, N. Schaum, et al., “Undulating Changes in Human Plasma Proteome Profiles Across the Lifespan,” Nature Medicine 25, (2019): 1843–1850.

[34]

S. J. Mitchell, M. Bernier, M. A. Aon, et al., “Nicotinamide Improves Aspects of Healthspan, but Not Lifespan, in Mice,” Cell Metabolism 27, (2018): 667–676.

[35]

D. Shan, Y. Wang, Y. Chang, et al., “Dynamic Cellular Changes in Acute Kidney Injury Caused by Different Ischemia Time,” iScience 26, (2023): 106646.

[36]

H. Wang, A. Ainiwaer, Y. Song, et al., “Perturbed Gut Microbiome and Fecal and Serum Metabolomes Are Associated With Chronic Kidney Disease Severity,” Microbiome 11, (2023): 3.

[37]

F. Guebre-Egziabher, P. M. Alix, L. Koppe, et al., “Ectopic Lipid Accumulation: A Potential Cause for Metabolic Disturbances and a Contributor to the Alteration of Kidney Function,” Biochimie 95, (2013): 1971–1979.

[38]

M. Brosnan and J. Brosnan, “Renal Arginine Metabolism,” Journal of Nutrition 134, (2004): 2791s–2795s.

[39]

M. M. Rinschen, O. Palygin, A. El-Meanawy, et al., “Accelerated Lysine Metabolism Conveys Kidney Protection in Salt-Sensitive Hypertension,” Nature Communications 13, (2022): 4099.

[40]

S. Lam, R. Wang, H. Miao, B. Li, and G. Shui, “An Integrated Method for Direct Interrogation of Sphingolipid Homeostasis in the Heart and Brain Tissues of Mice Through Postnatal Development up to Reproductive Senescence,” Analytica Chimica Acta 1037, (2018): 152–158.

[41]

D. Dominissini, S. Nachtergaele, S. Moshitch-Moshkovitz, et al., “The Dynamic N(1)-Methyladenosine Methylome in Eukaryotic Messenger RNA,” Nature 530, (2016): 441–446.

[42]

E. Mishima, C. Inoue, D. Saigusa, et al., “Conformational Change in Transfer RNA Is an Early Indicator of Acute Cellular Damage,” Journal of the American Society of Nephrology 25, (2014): 2316–2326.

[43]

N. Schömel, G. Geisslinger, and M. Wegner, “Influence of Glycosphingolipids on Cancer Cell Energy Metabolism,” Progress in Lipid Research 79, (2020): 101050.

[44]

C. Kuo, W. W. Kallemeijn, L. T. Lelieveld, et al., “In vivo inactivation of Glycosidases by Conduritol B Epoxide and Cyclophellitol as Revealed by Activity-Based Protein Profiling,” FEBS Journal 286, (2019): 584–600.

[45]

S. Chen, R. Liu, C. Mo, et al., “Multi-Omic and Spatial Analysis of Mouse Kidneys Highlights Sex-Specific Differences in Gene Regulation Across the Lifespan,” Nature Genetics 57, (2025): 1213–1227.

[46]

S. Kim, Y. Wong, F. Gao, and D. Krainc, “Dysregulation of Mitochondria-Lysosome Contacts by GBA1 Dysfunction in Dopaminergic Neuronal Models of Parkinson's Disease,” Nature Communications 12, (2021): 1807.

[47]

A. Bartolomé, A. García-Aguilar, S. I. Asahara, et al., “MTORC1 Regulates Both General Autophagy and Mitophagy Induction After Oxidative Phosphorylation Uncoupling,” Molecular and Cellular Biology 37, (2017): e00441–17.

[48]

D. P. Narendra, S. M. Jin, A. Tanaka, et al., “PINK1 is Selectively Stabilized on Impaired Mitochondria to Activate Parkin,” PLoS Biology 8, (2010): e1000298.

[49]

G. Hoxhaj, J. Hughes-Hallett, R. C. Timson, et al., “The mTORC1 Signaling Network Senses Changes in Cellular Purine Nucleotide Levels,” Cell Reports 21, (2017): 1331–1346.

[50]

P. Bhargava and R. Schnellmann, “Mitochondrial Energetics in the Kidney,” Nature Reviews Nephrology 13, (2017): 629–646.

[51]

S. Nigam and K. Bush, “Uraemic Syndrome of Chronic Kidney Disease: Altered Remote Sensing and Signalling,” Nature Reviews Nephrology 15, (2019): 301–316.

[52]

R. T. Gansevoort, R. Correa-Rotter, B. R. Hemmelgarn, et al., “Chronic Kidney Disease and Cardiovascular Risk: Epidemiology, Mechanisms, and Prevention,” Lancet 382, (2013): 339–352.

[53]

P. Stevens, D. O'Donoghue, S. de Lusignan, et al., “Chronic Kidney Disease Management in the United Kingdom: NEOERICA Project Results,” Kidney International 72, (2007): 92–99.

[54]

A. Shukla, G. Shukla, and N. Radin, “Control of Kidney Size by Sex-Hormones: Possible Involvement of Glucosylceramide,” American Journal of Physiology 262, (1992): F24–F29.

[55]

T. L. Habermehl, K. B. Underwood, K. D. Welch, et al., “Aging-associated Changes in Motor Function Are Ovarian Somatic Tissue-Dependent, but Germ Cell and Estradiol Independent in Post-Reproductive Female Mice Exposed to Young Ovarian Tissue,” Geroscience 44, (2022): 2157–2169.

[56]

J. Aerts and C. Hollak, “Plasma and Metabolic Abnormalities in Gaucher's Disease,” Bailliere's Clinical Haematology 10, (1997): 691–709.

[57]

R. G. Boot, M. Verhoek, M. Langeveld, et al., “CCL18: A Urinary Marker of Gaucher Cell Burden in Gaucher Patients,” Journal of Inherited Metabolic Disease 29, (2006): 564–571.

[58]

M. Steenbeke, R. Speeckaert, S. Desmedt, G. Glorieux, J. R. Delanghe, and M. M. Speeckaert, “The Role of Advanced Glycation End Products and Its Soluble Receptor in Kidney Diseases,” International Journal of Molecular Sciences 23, (2022): 3439.

[59]

L. Valek, B. Tran, A. Wilken-Schmitz, et al., “Prodromal Sensory Neuropathy in Pink1(-/-) SNCA(A53T) Double Mutant Parkinson Mice,” Neuropathology and Applied Neurobiology 47, (2021): 1060–1079.

[60]

H. Li, A. Ham, T. C. Ma, et al., “Mitochondrial Dysfunction and Mitophagy Defect Triggered by Heterozygous GBA Mutations,” Autophagy 15, (2019): 113–130.

[61]

X. Li, H. Zhang, J. Li, et al., “mTORC1-USP30-LEF1 Cascade Regulates Cancer Stemness and Malignant Progression Through Mitonuclear Crosstalk,” MedComm 6, (2025): e70499.

[62]

N. Emmanuel, S. Ragunathan, Q. Shan, et al., “Purine Nucleotide Availability Regulates mTORC1 Activity Through the Rheb GTPase,” Cell Reports 19, (2017): 2665–2680.

[63]

T. O. Crişan, M. C. P. Cleophas, B. Novakovic, et al., “Uric Acid Priming in Human Monocytes Is Driven by the AKT-PRAS40 Autophagy Pathway,” Proceedings of National Academy of Sciences 114, (2017): 5485–5490.

[64]

J. Xiao, S. Zhu, H. Guan, et al., “AMPK Alleviates High Uric Acid-induced Na(+)-K(+)-ATPase Signaling Impairment and Cell Injury in Renal Tubules,” Experimental & Molecular Medicine 51, (2019): 1–14.

[65]

H. Zhu, H. Shen, A. Sewell, M. Kniazeva, and M. Han, “A Novel Sphingolipid-TORC1 Pathway Critically Promotes Postembryonic Development in Caenorhabditis elegans,” Elife 2, (2013): e00429.

[66]

N. Li, B. Hua, Q. Chen, et al., “A Sphingolipid-mTORC1 Nutrient-sensing Pathway Regulates Animal Development by an Intestinal Peroxisome Relocation-Based Gut-Brain Crosstalk,” Cell Reports 40, (2022): 111140.

[67]

S. Johnson, P. Rabinovitch, and M. Kaeberlein, “mTOR Is a Key Modulator of Ageing and Age-Related Disease,” Nature 493, (2013): 338–345.

[68]

J. T. Cunningham, J. T. Rodgers, D. H. Arlow, F. Vazquez, V. K. Mootha, and P. Puigserver, “mTOR Controls Mitochondrial Oxidative Function Through a YY1-PGC-1alpha Transcriptional Complex,” Nature 450, (2007): 736–740.

[69]

L. Ye, X. Fu, and Q. Li, “Mitochondrial Quality Control in Health and Disease,” MedComm 6 (2025): e70319.

[70]

A. Bartolomé, M. Kimura-Koyanagi, S. Asahara, et al., “Pancreatic β-Cell Failure Mediated by mTORC1 Hyperactivity and Autophagic Impairment,” Diabetes 63, (2014): 2996–3008.

[71]

S. Sengupta, T. Peterson, M. Laplante, S. Oh, and D. Sabatini, “mTORC1 Controls Fasting-Induced Ketogenesis and Its Modulation by Ageing,” Nature 468, (2010): 1100–U1502.

[72]

R. A. Miller, D. E. Harrison, C. M. Astle, et al., “Rapamycin, but Not Resveratrol or Simvastatin, Extends Life Span of Genetically Heterogeneous Mice,” Journals of Gerontology Series A, Biological Sciences and Medical Sciences 66, (2011): 191–201.

[73]

C. Selman, J. M. A. Tullet, D. Wieser, et al., “Ribosomal Protein S6 Kinase 1 Signaling Regulates Mammalian Life Span,” Science 326, (2009): 140–144.

[74]

Q. Yu, Z. He, D. Zubkov, et al., “Lipidome Alterations in Human Prefrontal Cortex During Development, Aging, and Cognitive Disorders,” Molecular Psychiatry 25, (2020): 2952–2969.

[75]

T. Kirkwood and M. Rose, “Evolution of Senescence: Late Survival Sacrificed for Reproduction,” Philosophical Transactions of the Royal Society of London Series B: Biological Sciences 332, (1991): 15–24.

[76]

L. C. Veiras, A. C. Girardi, J. Curry, et al., “Sexual Dimorphic Pattern of Renal Transporters and Electrolyte Homeostasis,” Journal of the American Society of Nephrology 28, (2017): 3504–3517.

[77]

A. McDonough, A. Harris, L. Xiong, and A. Layton, “Sex Differences in Renal Transporters: Assessment and Functional Consequences,” Nature Reviews Nephrology (2023): 21–36.

[78]

M. Ljubojević, D. Balen, D. Breljak, et al., “Renal Expression of Organic Anion Transporter OAT2 in Rats and Mice Is Regulated by Sex Hormones,” American Journal of Physiology-Renal Physiology 292, (2007): F1302–F1302.

[79]

D. Murphy, C. E. McCulloch, F. Lin, et al., “Trends in Prevalence of Chronic Kidney Disease in the United States,” Annals of Internal Medicine 165, (2016): 473–481.

[80]

J. Carrero, M. Hecking, N. Chesnaye, and K. Jager, “Sex and Gender Disparities in the Epidemiology and Outcomes of Chronic Kidney Disease,” Nature Reviews Nephrology 14, (2018): 151–164.

[81]

J. Song, S. M. Lam, X. Fan, et al., “Omics-Driven Systems Interrogation of Metabolic Dysregulation in COVID-19 Pathogenesis,” Cell Metabolism 32, (2020): 188–202.e5.

[82]

S. M. Lam, J. Li, H. Sun, et al., “Quantitative Lipidomics and Spatial MS-Imaging Uncovered Neurological and Systemic Lipid Metabolic Pathways Underlying Troglomorphic Adaptations in Cave-Dwelling Fish,” Molecular Biology and Evolution 39 (2022): msac050.

[83]

J. P. Koelmel, X. Li, S. M. Stow, et al., “Lipid Annotator: Towards Accurate Annotation in Non-Targeted Liquid Chromatography High-Resolution Tandem Mass Spectrometry (LC-HRMS/MS) Lipidomics Using a Rapid and User-Friendly Software,” Metabolites 10 (2020): 101.

[84]

A. Schrimpe-Rutledge, S. Codreanu, S. Sherrod, and J. McLean, “Untargeted Metabolomics Strategies—Challenges and Emerging Directions,” Journal of the American Society for Mass Spectrometry 27, (2016): 1897–1905.

[85]

L. W. Sumner, A. Amberg, D. Barrett, et al., “Proposed Minimum Reporting Standards for Chemical Analysis,” Metabolomics 3, (2007): 211–221.

[86]

H. Miao, B. Li, Z. Wang, et al., “Lipidome Atlas of the Developing Heart Uncovers Dynamic Membrane Lipid Attributes Underlying Cardiac Structural and Metabolic Maturation,” Research 2022 (2022): 0006.

[87]

P. Langfelder and S. Horvath, “WGCNA: An R Package for Weighted Correlation Network Analysis,” BMC Bioinformatics 9, (2008): 559.

[88]

H. K. Pedersen, V. Gudmundsdottir, H. B. Nielsen, et al., “Human Gut Microbes Impact Host Serum Metabolome and Insulin Sensitivity,” Nature 535, (2016): 376–381.

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