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Gowda D, Masum MA, B Gowda SG, Shekhar C, Rubel MZU, Kira S, Ichii O, Kon Y, Chiba H, Hui SP. Lipidomic study of kidney in a mouse model with urine flow obstruction. Sci Rep 2024; 14:18042. [PMID: 39098953 PMCID: PMC11298537 DOI: 10.1038/s41598-024-68270-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 07/22/2024] [Indexed: 08/06/2024] Open
Abstract
Obstructed urine flow is known to cause structural and functional kidney damage leading to renal fibrosis. However, limited information is available on the change in kidney lipids during urinary tract obstruction. In this study, we investigated the change in lipidome in a mouse model with unilateral ureteral obstruction (UUO). The establishment of the UUO model was confirmed by histopathological examination using transmission electron microscopy. Untargeted liquid chromatography/mass spectrometry was carried out over a time course of 4 and 7 days. Compared to the sham control, the UUO kidney at 7 days showed dilatation of the renal tubule with loss of brush borders and thickening of the capillary endothelium. In the kidney lipidomes obtained from the UUO 7 days group compared to the control, a significant decrease of ceramide, sphingomyelin, phosphatidylcholine, lysophospholipids, and phosphatidylethanolamine was observed, whereas cholesteryl esters, free fatty acids, phosphatidylglycerol, and cardiolipins were significantly increased. The present study revealed the disturbed lipid metabolism in the UUO model, which may provide a clue to potential lipid pathways and therapeutic targets for the early stage of renal fibrosis.
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Affiliation(s)
- Divyavani Gowda
- Faculty of Health Sciences, Hokkaido University, Kita-12 Nishi-5, Kita-ku, Sapporo, 060-0812, Japan
| | - Md Abdul Masum
- Department of Anatomy, Histology and Physiology, Faculty of Animal Science and Veterinary Medicine, Sher-e-Bangla Agricultural University, Dhaka, 1207, Bangladesh.
- Laboratory of Anatomy, Department of Basic Veterinary Medicine, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Japan.
| | - Siddabasave Gowda B Gowda
- Faculty of Health Sciences, Hokkaido University, Kita-12 Nishi-5, Kita-ku, Sapporo, 060-0812, Japan
- Graduate School of Global Food Resources, Hokkaido University, Kita 9, Nishi 9, Kita-ku, Sapporo, 060-0809, Japan
| | - Chandra Shekhar
- Faculty of Health Sciences, Hokkaido University, Kita-12 Nishi-5, Kita-ku, Sapporo, 060-0812, Japan
- Departments of Physiology, Medicine, Molecular Biology Immunology and Biochemistry, and Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN, 38163, USA
| | - Md Zahir Uddin Rubel
- Laboratory of Anatomy, Department of Basic Veterinary Medicine, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Japan
| | - Shunnosuke Kira
- Laboratory of Anatomy, Department of Basic Veterinary Medicine, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Japan
| | - Osamu Ichii
- Laboratory of Anatomy, Department of Basic Veterinary Medicine, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Japan
- Laboratory of Agrobiomedical Science, Faculty of Agriculture, Hokkaido University, Sapporo, 060-0809, Japan
| | - Yasuhiro Kon
- Laboratory of Anatomy, Department of Basic Veterinary Medicine, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Japan
| | - Hitoshi Chiba
- Department of Nutrition, Sapporo University of Health Sciences, Nakanuma, Nishi-4-3-1-15, Higashi-ku, Sapporo, 007-0894, Japan
| | - Shu-Ping Hui
- Faculty of Health Sciences, Hokkaido University, Kita-12 Nishi-5, Kita-ku, Sapporo, 060-0812, Japan.
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2
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Choi EK, Rajendiran TM, Soni T, Park JH, Aring L, Muraleedharan CK, Garcia-Hernandez V, Kamada N, Samuelson LC, Nusrat A, Iwase S, Seo YA. The manganese transporter SLC39A8 links alkaline ceramidase 1 to inflammatory bowel disease. Nat Commun 2024; 15:4775. [PMID: 38839750 PMCID: PMC11153611 DOI: 10.1038/s41467-024-49049-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/17/2024] [Indexed: 06/07/2024] Open
Abstract
The metal ion transporter SLC39A8 is associated with physiological traits and diseases, including blood manganese (Mn) levels and inflammatory bowel diseases (IBD). The mechanisms by which SLC39A8 controls Mn homeostasis and epithelial integrity remain elusive. Here, we generate Slc39a8 intestinal epithelial cell-specific-knockout (Slc39a8-IEC KO) mice, which display markedly decreased Mn levels in blood and most organs. Radiotracer studies reveal impaired intestinal absorption of dietary Mn in Slc39a8-IEC KO mice. SLC39A8 is localized to the apical membrane and mediates 54Mn uptake in intestinal organoid monolayer cultures. Unbiased transcriptomic analysis identifies alkaline ceramidase 1 (ACER1), a key enzyme in sphingolipid metabolism, as a potential therapeutic target for SLC39A8-associated IBDs. Importantly, treatment with an ACER1 inhibitor attenuates colitis in Slc39a8-IEC KO mice by remedying barrier dysfunction. Our results highlight the essential roles of SLC39A8 in intestinal Mn absorption and epithelial integrity and offer a therapeutic target for IBD associated with impaired Mn homeostasis.
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Affiliation(s)
- Eun-Kyung Choi
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Thekkelnaycke M Rajendiran
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Tanu Soni
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jin-Ho Park
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Luisa Aring
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | | | - Nobuhiko Kamada
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Linda C Samuelson
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Asma Nusrat
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Shigeki Iwase
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Young Ah Seo
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
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3
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Fleischman JY, Casey JL, Meijer JL, Treutelaar MK, Rajendiran TM, Soni T, Evans CR, Burant CF. Sex modulates the diet-induced changes to the plasma lipidome in a rat model of cardiorespiratory fitness. Biochim Biophys Acta Mol Cell Biol Lipids 2024; 1869:159451. [PMID: 38191091 DOI: 10.1016/j.bbalip.2024.159451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/01/2024] [Accepted: 01/03/2024] [Indexed: 01/10/2024]
Abstract
OBJECTIVE Individuals with higher intrinsic cardiorespiratory fitness (CRF) experience decreased rates of cardiometabolic disease and mortality, and high CRF is associated with increased utilization of fatty acids (FAs) for energy. Studies suggest a complex relationship between CRF, diet, and sex with health outcomes, but this interaction is understudied. We hypothesized that FA utilization differences by fitness and sex could be detected in the plasma metabolome when rats or humans were fed a high carbohydrate (HC) or high fat (HF) diet. METHODS Male and female rats selectively bred for low (LCR) and high (HCR) CRF were fed a chow diet or a sucrose-free HF (45 % fat) or HC (10 % fat) diet. Plasma samples were collected at days 0, 3, and 14. Human plasma data was collected from male and female participants who were randomized into a HC or HF diet for 21 days. Samples were analyzed using liquid chromatography-mass spectrometry and regression statistics were used to quantify the effect of diet, CRF, and sex on the lipidome. RESULTS In rats, the baseline lipidome is more significantly influenced by sex than by CRF, especially as elevated diglycerides, triglycerides, phosphatidylcholines, and lysophosphatidylcholines in males. A dynamic response to diet was observed 3 days after diet, but after 14 days of either diet, the lipidome was modulated by sex with a larger effect size than by diet. Data from the human study also suggests a sex-dependent response to diet with opposite directionality of affect compared to rats, highlighting species-dependent responses to dietary intervention.
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Affiliation(s)
- Johanna Y Fleischman
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, United States of America; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America
| | - James L Casey
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI, United States of America
| | - Jennifer L Meijer
- Department of Medicine, Weight and Wellness Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States of America; Quantitative Biomedical Sciences, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States of America
| | - Mary K Treutelaar
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America
| | - Thekkelnaycke M Rajendiran
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, United States of America
| | - Tanu Soni
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, United States of America
| | - Charles R Evans
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America; Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, United States of America
| | - Charles F Burant
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, United States of America; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America; Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, United States of America.
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4
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Lidgard B, Bansal N, Zelnick LR, Hoofnagle AN, Fretts AM, Longstreth WT, Shlipak MG, Siscovick DS, Umans JG, Lemaitre RN. Evaluation of plasma sphingolipids as mediators of the relationship between kidney disease and cardiovascular events. EBioMedicine 2023; 95:104765. [PMID: 37634384 PMCID: PMC10474367 DOI: 10.1016/j.ebiom.2023.104765] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 08/04/2023] [Accepted: 08/06/2023] [Indexed: 08/29/2023] Open
Abstract
BACKGROUND Sphingolipids are a family of circulating lipids with regulatory and signaling roles that are strongly associated with both eGFR and cardiovascular disease. Patients with chronic kidney disease (CKD) are at high risk for cardiovascular events, and have different plasma concentrations of certain plasma sphingolipids compared to patients with normal kidney function. We hypothesize that circulating sphingolipids partially mediate the associations between eGFR and cardiovascular events. METHODS We measured the circulating concentrations of 8 sphingolipids, including 4 ceramides and 4 sphingomyelins with the fatty acids 16:0, 20:0, 22:0, and 24:0, in plasma from 3,463 participants in a population-based cohort (Cardiovascular Health Study) without prevalent cardiovascular disease. We tested the adjusted mediation effects by these sphingolipids of the associations between eGFR and incident cardiovascular disease via quasi-Bayesian Monte Carlo method with 2,000 simulations, using a Bonferroni correction for significance. FINDINGS The mean (±SD) eGFR was 70 (±16) mL/min/1.73 m2; 62% of participants were women. Lower eGFR was associated with higher plasma ceramide-16:0 and sphingomyelin-16:0, and lower ceramides and sphingomyelins-20:0 and -22:0. Lower eGFR was associated with risk of incident heart failure and ischemic stroke, but not myocardial infarction. Five of eight sphingolipids partially mediated the association between eGFR and heart failure. The sphingolipids associated with the greatest proportion mediated were ceramide-16:0 (proportion mediated 13%, 95% CI 8-22%) and sphingomyelin-16:0 (proportion mediated 10%, 95% CI 5-17%). No sphingolipids mediated the association between eGFR and ischemic stroke. INTERPRETATION Plasma sphingolipids partially mediated the association between lower eGFR and incident heart failure. Altered sphingolipids metabolism may be a novel mechanism for heart failure in patients with CKD. FUNDING This study was supported by T32 DK007467 and a KidneyCure Ben J. Lipps Research Fellowship (Dr. Lidgard). Sphingolipid measurements were supported by R01 HL128575 (Dr. Lemaitre) and R01 HL111375 (Dr. Hoofnagle) from the National Heart, Lung, and Blood Institute (NHLBI).
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Affiliation(s)
- Benjamin Lidgard
- Department of Medicine, University of Washington, United States.
| | - Nisha Bansal
- Department of Medicine, University of Washington, United States
| | - Leila R Zelnick
- Department of Medicine, University of Washington, United States
| | | | - Amanda M Fretts
- Department of Medicine, University of Washington, United States
| | | | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Healthcare System and University of California San Francisco, United States
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Shao B, Afshinnia F, Mathew AV, Ronsein GE, Thornock C, Irwin AD, Kansal M, Rao PS, Dobre M, Al-Kindi S, Weir MR, Go A, He J, Chen J, Feldman H, Bornfeldt KE, Pennathur S. Low concentrations of medium-sized HDL particles predict incident CVD in chronic kidney disease patients. J Lipid Res 2023; 64:100381. [PMID: 37100172 PMCID: PMC10323925 DOI: 10.1016/j.jlr.2023.100381] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 04/28/2023] Open
Abstract
Patients with chronic kidney disease (CKD) are at high risk for CVD. However, traditional CVD risk factors cannot completely explain the increased risk. Altered HDL proteome is linked with incident CVD in CKD patients, but it is unclear whether other HDL metrics are associated with incident CVD in this population. In the current study, we analyzed samples from two independent prospective case-control cohorts of CKD patients, the Clinical Phenotyping and Resource Biobank Core (CPROBE) and the Chronic Renal Insufficiency Cohort (CRIC). We measured HDL particle sizes and concentrations (HDL-P) by calibrated ion mobility analysis and HDL cholesterol efflux capacity (CEC) by cAMP-stimulated J774 macrophages in 92 subjects from the CPROBE cohort (46 CVD and 46 controls) and in 91 subjects from the CRIC cohort (34 CVD and 57 controls). We tested associations of HDL metrics with incident CVD using logistic regression analysis. No significant associations were found for HDL-C or HDL-CEC in either cohort. Total HDL-P was only negatively associated with incident CVD in the CRIC cohort in unadjusted analysis. Among the six sized HDL subspecies, only medium-sized HDL-P was significantly and negatively associated with incident CVD in both cohorts after adjusting for clinical confounders and lipid risk factors with odds ratios (per 1-SD) of 0.45 (0.22-0.93, P = 0.032) and 0.42 (0.20-0.87, P = 0.019) for CPROBE and CRIC cohorts, respectively. Our observations indicate that medium-sized HDL-P-but not other-sized HDL-P or total HDL-P, HDL-C, or HDL-CEC-may be a prognostic cardiovascular risk marker in CKD.
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Affiliation(s)
- Baohai Shao
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, WA, USA.
| | - Farsad Afshinnia
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Anna V Mathew
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Graziella E Ronsein
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, WA, USA
| | - Carissa Thornock
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, WA, USA
| | - Angela D Irwin
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, WA, USA
| | - Mayank Kansal
- Department of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Panduranga S Rao
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Mirela Dobre
- Division of Nephrology and Hypertension, Case Western Reserve University, Cleveland, OH, USA
| | - Sadeer Al-Kindi
- Division of Nephrology and Hypertension, Case Western Reserve University, Cleveland, OH, USA
| | - Matthew R Weir
- Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alan Go
- Department of Health System Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Jing Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA; Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Harold Feldman
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Karin E Bornfeldt
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, WA, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA; Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.
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Wang YN, Zhang ZH, Liu HJ, Guo ZY, Zou L, Zhang YM, Zhao YY. Integrative phosphatidylcholine metabolism through phospholipase A 2 in rats with chronic kidney disease. Acta Pharmacol Sin 2023; 44:393-405. [PMID: 35922553 PMCID: PMC9889763 DOI: 10.1038/s41401-022-00947-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 06/22/2022] [Indexed: 02/04/2023] Open
Abstract
Dysregulation in lipid metabolism is the leading cause of chronic kidney disease (CKD) and also the important risk factors for high morbidity and mortality. Although lipid abnormalities were identified in CKD, integral metabolic pathways for specific individual lipid species remain to be clarified. We conducted ultra-high-performance liquid chromatography-high-definition mass spectrometry-based lipidomics and identified plasma lipid species and therapeutic effects of Rheum officinale in CKD rats. Adenine-induced CKD rats were administered Rheum officinale. Urine, blood and kidney tissues were collected for analyses. We showed that exogenous adenine consumption led to declining kidney function in rats. Compared with control rats, a panel of differential plasma lipid species in CKD rats was identified in both positive and negative ion modes. Among the 50 lipid species, phosphatidylcholine (PC), lysophosphatidylcholine (LysoPC) and lysophosphatidic acid (LysoPA) accounted for the largest number of identified metabolites. We revealed that six PCs had integral metabolic pathways, in which PC was hydrolysed into LysoPC, and then converted to LysoPA, which was associated with increased cytosolic phospholipase A2 protein expression in CKD rats. The lower levels of six PCs and their corresponding metabolites could discriminate CKD rats from control rats. Receiver operating characteristic curves showed that each individual lipid species had high values of area under curve, sensitivity and specificity. Administration of Rheum officinale significantly improved impaired kidney function and aberrant PC metabolism in CKD rats. Taken together, this study demonstrates that CKD leads to PC metabolism disorders and that the dysregulation of PC metabolism is involved in CKD pathology.
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Affiliation(s)
- Yan-Ni Wang
- School of Pharmacy, Zhejiang Chinese Medical University, No. 548 Binwen Road, Hangzhou, 310053, China
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, 710069, China
| | - Zhi-Hao Zhang
- State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Hong-Jiao Liu
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, 710069, China
| | - Zhi-Yuan Guo
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, 710069, China
| | - Liang Zou
- School of Food and Bioengineering, Chengdu University, Chengdu, 610106, China
| | - Ya-Mei Zhang
- Clinical Genetics Laboratory, Affiliated Hospital & Clinical Medical College of Chengdu University, Chengdu, 610081, China
| | - Ying-Yong Zhao
- School of Pharmacy, Zhejiang Chinese Medical University, No. 548 Binwen Road, Hangzhou, 310053, China.
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, 710069, China.
- Clinical Genetics Laboratory, Affiliated Hospital & Clinical Medical College of Chengdu University, Chengdu, 610081, China.
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Blusztajn JK, Aytan N, Rajendiran T, Mellott TJ, Soni T, Burant CF, Serrano GE, Beach TG, Lin H, Stein TD. Cerebral Gray and White Matter Monogalactosyl Diglyceride Levels Rise with the Progression of Alzheimer's Disease. J Alzheimers Dis 2023; 95:1623-1634. [PMID: 37718815 PMCID: PMC10911245 DOI: 10.3233/jad-230543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
BACKGROUND Multiple studies have reported brain lipidomic abnormalities in Alzheimer's disease (AD) that affect glycerophospholipids, sphingolipids, and fatty acids. However, there is no consensus regarding the nature of these abnormalities, and it is unclear if they relate to disease progression. OBJECTIVE Monogalactosyl diglycerides (MGDGs) are a class of lipids which have been recently detected in the human brain. We sought to measure their levels in postmortem human brain and determine if these levels correlate with the progression of the AD-related traits. METHODS We measured MGDGs by ultrahigh performance liquid chromatography tandem mass spectrometry in postmortem dorsolateral prefrontal cortex gray matter and subcortical corona radiata white matter samples derived from three cohorts of participants: the Framingham Heart Study, the Boston University Alzheimer's Disease Research Center, and the Arizona Study of Aging and Neurodegenerative Disorders/Brain and Body Donation Program (total n = 288). RESULTS We detected 40 molecular species of MGDGs (including diacyl and alkyl/acyl compounds) and found that the levels of 29 of them, as well as total MGDG levels, are positively associated with AD-related traits including pathologically confirmed AD diagnosis, clinical dementia rating, Braak and Braak stage, neuritic plaque score, phospho-Tau AT8 immunostaining density, levels of phospho-Tau396 and levels of Aβ40. Increased MGDG levels were present in both gray and white matter, indicating that they are widespread and likely associated with myelin-producing oligodendrocytes-the principal cell type of white matter. CONCLUSIONS Our data implicate the MGDG metabolic defect as a central correlate of clinical and pathological progression in AD.
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Affiliation(s)
- Jan Krzysztof Blusztajn
- Boston University Chobanian & Avedisian School of Medicine
- Boston University Alzheimer’s Disease Research Center
| | - Nurgul Aytan
- Boston University Chobanian & Avedisian School of Medicine
- Boston University Alzheimer’s Disease Research Center
| | | | | | | | | | | | | | | | - Thor D. Stein
- Boston University Chobanian & Avedisian School of Medicine
- Boston University Alzheimer’s Disease Research Center
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
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8
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Zeng W, Beyene HB, Kuokkanen M, Miao G, Magliano DJ, Umans JG, Franceschini N, Cole SA, Michailidis G, Lee ET, Howard BV, Fiehn O, Curran JE, Blangero J, Meikle PJ, Zhao J. Lipidomic profiling in the Strong Heart Study identified American Indians at risk of chronic kidney disease. Kidney Int 2022; 102:1154-1166. [PMID: 35853479 PMCID: PMC10753995 DOI: 10.1016/j.kint.2022.06.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 06/09/2022] [Accepted: 06/16/2022] [Indexed: 12/14/2022]
Abstract
Dyslipidemia associates with and usually precedes the onset of chronic kidney disease (CKD), but a comprehensive assessment of molecular lipid species associated with risk of CKD is lacking. Here, we sought to identify fasting plasma lipids associated with risk of CKD among American Indians in the Strong Heart Family Study, a large-scale community-dwelling of individuals, followed by replication in Mexican Americans from the San Antonio Family Heart Study and Caucasians from the Australian Diabetes, Obesity and Lifestyle Study. We also performed repeated measurement analysis to examine the temporal relationship between the change in the lipidome and change in kidney function between baseline and follow-up of about five years apart. Network analysis was conducted to identify differential lipid classes associated with risk of CKD. In the discovery cohort, we found that higher baseline level of multiple lipid species, including glycerophospholipids, glycerolipids and sphingolipids, was significantly associated with increased risk of CKD, independent of age, sex, body mass index, diabetes and hypertension. Many lipid species were replicated in at least one external cohort at the individual lipid species and/or the class level. Longitudinal change in the plasma lipidome was significantly associated with change in the estimated glomerular filtration rate after adjusting for covariates, baseline lipids and the baseline rate. Network analysis identified distinct lipidomic signatures differentiating high from low-risk groups. Thus, our results demonstrated that disturbed lipid metabolism precedes the onset of CKD. These findings shed light on the mechanisms linking dyslipidemia to CKD and provide potential novel biomarkers for identifying individuals with early impaired kidney function at preclinical stages.
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Affiliation(s)
- Wenjie Zeng
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Habtamu B Beyene
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Mikko Kuokkanen
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, USA
| | - Guanhong Miao
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA
| | | | - Jason G Umans
- MedStar Health Research Institute, Hyattsville, Maryland, USA; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, District of Columbia, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - George Michailidis
- Department of Statistics, University of Florida, Gainesville, Florida, USA
| | - Elisa T Lee
- Department of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Barbara V Howard
- MedStar Health Research Institute, Hyattsville, Maryland, USA; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, District of Columbia, USA
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California-Davis, Davis, California, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, Texas, USA
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Jinying Zhao
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA.
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9
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Lee DY, Kim JY, Ahn E, Hyeon JS, Kim GH, Park KJ, Jung Y, Lee YJ, Son MK, Kim SW, Han SY, Kim JH, Roh GS, Cha DR, Hwang GS, Kim WH. Associations between local acidosis induced by renal LDHA and renal fibrosis and mitochondrial abnormalities in patients with diabetic kidney disease. Transl Res 2022; 249:88-109. [PMID: 35788054 DOI: 10.1016/j.trsl.2022.06.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/23/2022] [Accepted: 06/22/2022] [Indexed: 10/31/2022]
Abstract
During the progression of diabetic kidney disease (DKD), renal lactate metabolism is rewired. The relationship between alterations in renal lactate metabolism and renal fibrosis in patients with diabetes has only been partially established due to a lack of biopsy tissues from patients with DKD and the intricate mechanism of lactate homeostasis. The role of lactate dehydrogenase A (LDHA)-mediated lactate generation in renal fibrosis and dysfunction in human and animal models of DKD was explored in this study. Measures of lactate metabolism (urinary lactate levels and LDHA expression) and measures of DKD progression (estimated glomerular filtration rate and Wilms' tumor-1 expression) were strongly negatively correlated in patients with DKD. Experiments with streptozotocin-induced DKD rat models and the rat renal mesangial cell model confirmed our findings. We found that the pathogenesis of DKD is linked to hypoxia-mediated lactic acidosis, which leads to fibrosis and mitochondrial abnormalities. The pathogenic characteristics of DKD were significantly reduced when aerobic glycolysis or LDHA expression was inhibited. Further studies will aim to investigate whether local acidosis caused by renal LDHA might be exploited as a therapeutic target in patients with DKD.
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Affiliation(s)
- Dae-Yeon Lee
- Division of Cardiovascular Disease Research, Korea National Institute of Health, Cheongju, Republic of Korea; Department of Anatomy and Convergence Medical Science, Bio Anti-aging Medical Research Center, Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju, Republic of Korea
| | - Ji-Yeon Kim
- Division of Cardiovascular Disease Research, Korea National Institute of Health, Cheongju, Republic of Korea
| | - Eunyong Ahn
- Western Seoul Center, Korea Basic Science Institute, Seoul, Republic of Korea
| | - Jin Seong Hyeon
- Western Seoul Center, Korea Basic Science Institute, Seoul, Republic of Korea
| | - Gyu-Hee Kim
- Division of Metabolic Disease Research, Department for Chronic Disease Convergence Research, Korea National Institute of Health, Cheongju, Republic of Korea
| | - Keon-Jae Park
- Division of Metabolic Disease Research, Department for Chronic Disease Convergence Research, Korea National Institute of Health, Cheongju, Republic of Korea
| | - Youngae Jung
- Western Seoul Center, Korea Basic Science Institute, Seoul, Republic of Korea
| | - Yoo-Jeong Lee
- Division of Metabolic Disease Research, Department for Chronic Disease Convergence Research, Korea National Institute of Health, Cheongju, Republic of Korea
| | - Mi Kyoung Son
- Division of Cardiovascular Disease Research, Korea National Institute of Health, Cheongju, Republic of Korea
| | - Seung Woo Kim
- Division of Cardiovascular Disease Research, Korea National Institute of Health, Cheongju, Republic of Korea
| | - Sang Youb Han
- Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Jae-Hong Kim
- Division of Life Sciences, College of Life Sciences, Korea University, Seoul, Republic of Korea
| | - Gu Seob Roh
- Department of Anatomy and Convergence Medical Science, Bio Anti-aging Medical Research Center, Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju, Republic of Korea
| | - Dae Ryong Cha
- Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea.
| | - Geum-Sook Hwang
- Western Seoul Center, Korea Basic Science Institute, Seoul, Republic of Korea.
| | - Won-Ho Kim
- Division of Cardiovascular Disease Research, Korea National Institute of Health, Cheongju, Republic of Korea.
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10
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Liu X, Gao L, Huang X, Deng R, Wei X, Lu J, Li S. Lipidomics reveals the potential mechanism of honokiol against adenine-induced chronic kidney disease. Front Pharmacol 2022; 13:1019629. [DOI: 10.3389/fphar.2022.1019629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/05/2022] [Indexed: 11/13/2022] Open
Abstract
Honokiol (HKL), a biphenolic compound, is derived from the bark of Magnolia officinalis, which is used in traditional Chinese medicine for gastrointestinal complaints. HKL has diverse pharmacological activities and has protective effects in various disease models. However, the role and mechanism of HKL in treating chronic kidney disease (CKD) remain unclear. This study was designed to investigate whether HKL can alleviate CKD and the potential mechanism by which it acts. Male Sprague-Dawley rats were fed 0.75% w/w adenine feed for 3 weeks to induce CKD. HKL was administered by gavage at a dose of 5 mg/kg/day for 4 weeks. Using a special kit, serum creatinine (Scr) and blood urea nitrogen (BUN) were measured. To assess renal pathology, periodic acid-Schiff and Masson’s trichrome staining were conducted. Renal lipid profiles were analyzed by ultra-high-performance liquid chromatography/mass spectrometry (UHPLC/MS). The results showed that the administration of HKL reduced Scr and BUN and alleviated renal tubular atrophy and tubulointerstitial fibrosis in an adenine-induced CKD rat model. By using lipidomics, we identified 113 lipids (47 lipids in negative ion mode, 66 lipids in positive ion mode) that could be significantly reversed by HKL treatment in CKD rat kidneys. Most of these lipids belonged to the phosphatidylcholine (PC), ceramide (Cer), phosphatidylethanolamine (PE), and triacylglycerol (TAG) classes. Moreover, HKL improved fatty acid oxidation in the kidneys of CKD rats. In conclusion, this study found that HKL can protect against adenine-induced CKD, possibly through the regulation of lipid metabolism.
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11
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Lu Z, Liu C, Wu Q, Deng Y. High-coverage targeted lipidomics could reveal lipid alterations and evaluate therapeutic efficacy of membranous nephropathy. Nutr Metab (Lond) 2022; 19:68. [PMID: 36224633 PMCID: PMC9559911 DOI: 10.1186/s12986-022-00701-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 09/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Membrane nephropathy (MN) often presents as nephrotic syndrome with characteristic lipid metabolism that could not be explained by lipid indicators commonly used in clinical practice. Studies have shown that invigorating spleen and qi, activating blood and detoxication in the treatment of MN is an effective method proved by randomized controlled clinical trial. However, the alterations of lipid profile before and after traditional Chinese medicine (TCM) treatment and the related lipid markers that affect the therapeutic effect have not been fully clarified. METHODS We analyzed plasma lipid profiles of 92 patients with MN before and after TCM treatment by high-coverage targeted lipidomics. RESULTS 675 lipids were identified, of which 368 stably expressed lipids (coefficient of variation less than 30% and deletion value less than 10%) were eventually included for statistical analysis. 105 lipids were altered mainly including spingolipids, glycerides, glycerophosholipid, fatty acyl and steroids, among which, the abundance of ceramides (Cers), sphingomyelins (SMs), diacylglycerols (DGs), phosphatidylcholines (PCs) were lower than those before treatment with statistically significant difference. The WGCNA network to analyze the correlation between the collective effect and the therapeutic effect showed that the triglyceride (TG) molecules were most relevant to the therapeutic effect. Analysis of 162 triglyceride molecules showed that 11 TGs were significantly down-regulated in the effective group which were concentrated in carbon atom number of 52-56 and double bond number of 0-4. TGs molecules including TG56:2-FA20:0, TG56:2-FA20:1, TG56:3-FA20:0 and TG56:5-FA20:2 were most closely related to the therapeutic effect of TCM after adjusting the influence of clinical factors. ROC curve analysis showed that these four lipids could further improve the predictive efficacy of treatment based on clinical indicators. CONCLUSION Our work demonstrated that the therapeutic effect of invigorating spleen and qi, activating blood and detoxication in the treatment of MN may be exerted by regulating lipid metabolism. High-coverage targeted lipidomics provided a non-invasive tool for discovery of lipid markers to improve the predictive efficacy of TCM therapy.
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Affiliation(s)
- Zhenzhen Lu
- Department of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 725 Wanping Road, Shanghai, 200032 China
| | - Conghui Liu
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024 China
| | - Qingqing Wu
- Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031 China
| | - Yueyi Deng
- Department of Nephrology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 725 Wanping Road, Shanghai, 200032 China
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12
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Szabó A, Omeralfaroug A, Bjellaas T, Kövér G, Turbók J, Kovács M. The effects of fumonisin B 1 at the No Observed Adverse Effect Level (NOAEL) and 5-times above on the renal histology and lipidome of rats. Food Chem Toxicol 2022:113333. [PMID: 35988863 DOI: 10.1016/j.fct.2022.113333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 07/06/2022] [Accepted: 07/26/2022] [Indexed: 11/26/2022]
Abstract
Fumonisin B1 (FB1) mycotoxin was intraperitoneally (IP) administered at the No Observed Adverse Effect Level (NOAEL = 0.2 mg/kg BW/day as IP equivalent, "L") and 5-times above ("H") to male rats, in a controlled ("C"), 5-day study (n = 10/group, total n = 30). BW (bodyweight) of H rats decreased after day 4, kidney weight after 5 days. Renal histology revealed tubular epithelial desquamation, tubular dilatation, nuclear swelling, pale chromatin, cell vacuolation and casual karyopycnosis (H). Lipidomic analysis was performed with liquid chromatography - time-of-flight mass spectrometry (LC-TOF). Renal sphinganine (Sa) concentration increased 500 (L) to 1000-fold (H) and Sa-1-P to over 200 and 350-fold, respectively), with FB1 dose-dependence. Renal triacyclglycerols, diacylglycerols, ceramides and sphingomyelins were depleted, while cholesterol and cholesterol ester concentrations increased. Spearman correlation of free sphingoid bases (Sa, Sa-1-P, sphingosine (So) and So-1-P) was positive with histopathological damage severity, sphingomyelins and ceramides provided negative relationship (-0.78 and -0.8, resp.). Two-way cluster analysis and sparse partial least squares discriminant analysis (sPLS-DA) was used for experimental group classification. Fully effective group separation was achieved for ceramides, sphingomyelins and phosphatidyl-cholines, highlighting molecular species of possible diagnostic value. Lipidomic results highlight possible re-consideration of the NOAEL.
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Affiliation(s)
- András Szabó
- Hungarian University of Agriculture and Life Sciences, Institute of Physiology and Nutrition, Department of Physiology and Animal Health, Agribiotechnology and Precision Breeding for Food Security National Laboratory, Hungary.
| | - Ali Omeralfaroug
- Hungarian University of Agriculture and Life Sciences, Institute of Physiology and Nutrition, Department of Physiology and Animal Health, Agribiotechnology and Precision Breeding for Food Security National Laboratory, Hungary.
| | | | - György Kövér
- Hungarian University of Agriculture and Life Sciences, Institute of Animal Breeding Sciences, Department of Animal Breeding, Hungary.
| | - Janka Turbók
- Hungarian University of Agriculture and Life Sciences, Institute of Physiology and Nutrition, Department of Physiology and Animal Health, Agribiotechnology and Precision Breeding for Food Security National Laboratory, Hungary.
| | - Melinda Kovács
- Hungarian University of Agriculture and Life Sciences, Institute of Physiology and Nutrition, Department of Physiology and Animal Health, Agribiotechnology and Precision Breeding for Food Security National Laboratory, Hungary; ELKH - MATE Mycotoxins in the Food Chain Research Group, Kaposvár, Hungary.
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13
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Afshinnia F, Reynolds EL, Rajendiran TM, Soni T, Byun J, Savelieff MG, Looker HC, Nelson RG, Michailidis G, Callaghan BC, Pennathur S, Feldman EL. Serum lipidomic determinants of human diabetic neuropathy in type 2 diabetes. Ann Clin Transl Neurol 2022; 9:1392-1404. [PMID: 35923113 PMCID: PMC9463947 DOI: 10.1002/acn3.51639] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 07/12/2022] [Accepted: 07/14/2022] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE The serum lipidomic profile associated with neuropathy in type 2 diabetes is not well understood. Obesity and dyslipidemia are known neuropathy risk factors, suggesting lipid profiles early during type 2 diabetes may identify individuals who develop neuropathy later in the disease course. This retrospective cohort study examined lipidomic profiles 10 years prior to type 2 diabetic neuropathy assessment. METHODS Participants comprised members of the Gila River Indian community with type 2 diabetes (n = 69) with available stored serum samples and neuropathy assessment 10 years later using the combined Michigan Neuropathy Screening Instrument (MNSI) examination and questionnaire scores. A combined MNSI index was calculated from examination and questionnaire scores. Serum lipids (435 species from 18 classes) were quantified by mass spectrometry. RESULTS The cohort included 17 males and 52 females with a mean age of 45 years (SD = 9 years). Participants were stratified as with (high MNSI index score > 2.5407) versus without neuropathy (low MNSI index score ≤ 2.5407). Significantly decreased medium-chain acylcarnitines and increased total free fatty acids, independent of chain length and saturation, in serum at baseline associated with incident peripheral neuropathy at follow-up, that is, participants had high MNSI index scores, independent of covariates. Participants with neuropathy also had decreased phosphatidylcholines and increased lysophosphatidylcholines at baseline, independent of chain length and saturation. The abundance of other lipid classes did not differ significantly by neuropathy status. INTERPRETATION Abundance differences in circulating acylcarnitines, free fatty acids, phosphatidylcholines, and lysophosphatidylcholines 10 years prior to neuropathy assessment are associated with neuropathy status in type 2 diabetes.
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Affiliation(s)
- Farsad Afshinnia
- Department of Internal Medicine‐NephrologyUniversity of MichiganAnn ArborMichiganUSA
| | - Evan L. Reynolds
- NeuroNetwork for Emerging TherapiesUniversity of MichiganAnn ArborMichiganUSA,Department of NeurologyUniversity of MichiganAnn ArborMichiganUSA
| | - Thekkelnaycke M. Rajendiran
- University of Michigan, Michigan Regional Comprehensive Metabolomics Resource CoreAnn ArborMichiganUSA,Department of PathologyUniversity of MichiganAnn ArborMichiganUSA
| | - Tanu Soni
- University of Michigan, Michigan Regional Comprehensive Metabolomics Resource CoreAnn ArborMichiganUSA
| | - Jaeman Byun
- Department of Internal Medicine‐NephrologyUniversity of MichiganAnn ArborMichiganUSA
| | - Masha G. Savelieff
- NeuroNetwork for Emerging TherapiesUniversity of MichiganAnn ArborMichiganUSA
| | - Helen C. Looker
- Chronic Kidney Disease SectionNational Institute of Diabetes and Digestive and Kidney DiseasesPhoenixArizonaUSA
| | - Robert G. Nelson
- Chronic Kidney Disease SectionNational Institute of Diabetes and Digestive and Kidney DiseasesPhoenixArizonaUSA
| | - George Michailidis
- Department of Statistics and the Informatics InstituteUniversity of FloridaGainesvilleFloridaUSA
| | - Brian C. Callaghan
- NeuroNetwork for Emerging TherapiesUniversity of MichiganAnn ArborMichiganUSA,Department of NeurologyUniversity of MichiganAnn ArborMichiganUSA
| | - Subramaniam Pennathur
- Department of Internal Medicine‐NephrologyUniversity of MichiganAnn ArborMichiganUSA,University of Michigan, Michigan Regional Comprehensive Metabolomics Resource CoreAnn ArborMichiganUSA,Department of Molecular and Integrative PhysiologyUniversity of MichiganAnn ArborMichiganUSA
| | - Eva L. Feldman
- NeuroNetwork for Emerging TherapiesUniversity of MichiganAnn ArborMichiganUSA,Department of NeurologyUniversity of MichiganAnn ArborMichiganUSA
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Wang JC, Liu XC, Cao P, Li S, Hu BY, Jia SL, Yan P, Du ZF, Jiang HL. Qualitative Distribution of Endogenous Cholesteryl Esters in Plasma of Humans and Three Rodent Species Using Stepwise UPLC-Q-Exactive-MS. Curr Med Sci 2022; 42:692-701. [DOI: 10.1007/s11596-022-2577-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 12/15/2021] [Indexed: 11/30/2022]
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15
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Kami Reddy KR, Piyarathna DWB, Kamal AHM, Putluri V, Ravi SS, Bollag RJ, Terris MK, Lotan Y, Putluri N. Lipidomic Profiling Identifies a Novel Lipid Signature Associated with Ethnicity-Specific Disparity of Bladder Cancer. Metabolites 2022; 12:544. [PMID: 35736477 PMCID: PMC9230655 DOI: 10.3390/metabo12060544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/03/2022] [Accepted: 06/09/2022] [Indexed: 11/28/2022] Open
Abstract
Bladder Cancer (BLCA) is the ninth most frequently diagnosed cancer globally and the sixth most common cancer in the US. African Americans (AA) exhibit half the BLCA incidence compared to European Americans (EA), but they have a 70% higher risk of cancer-related death; unfortunately, this disparity in BLCA mortality remains poorly understood. In this study, we have used an ethnicity-balanced cohort for unbiased lipidomics profiling to study the changes in the lipid fingerprint for AA and EA BLCA tissues collected from similar geographical regions to determine a signature of ethnic-specific alterations. We identified 86 lipids significantly altered between self-reported AA and EA BLCA patients from Augusta University (AU) cohort. The majority of altered lipids belong to phosphatidylcholines (PCs), phosphatidylethanolamines (PEs), ly sophosphatidylcholines (lysoPCs), phosphatidylserines (PSs), and diglycerides (DGs). Interestingly, levels of four lysoPCs (lyso PCs 20:3, lyso PCs 22:1, lyso PCs 22:2, and lyso PCs 26:1) were elevated while, in contrast, the majority of the PCs were reduced in AA BLCA. Significant alterations in long-chain monounsaturated (MonoUN) and polyunsaturated (PolyUN) lipids were also observed between AA and EA BLCA tumor tissues. These first-in-field results implicate ethnic-specific lipid alterations in BLCA.
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Affiliation(s)
- Karthik Reddy Kami Reddy
- Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; (K.R.K.R.); (D.W.B.P.); (S.S.R.)
| | | | - Abu Hena Mostafa Kamal
- Advanced Technology Cores, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; (A.H.M.K.); (V.P.)
| | - Vasanta Putluri
- Advanced Technology Cores, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; (A.H.M.K.); (V.P.)
| | - Shiva Shankar Ravi
- Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; (K.R.K.R.); (D.W.B.P.); (S.S.R.)
| | - Roni J. Bollag
- Georgia Cancer Center, Augusta University, Augusta, GA 30912, USA; (R.J.B.); (M.K.T.)
| | - Martha K. Terris
- Georgia Cancer Center, Augusta University, Augusta, GA 30912, USA; (R.J.B.); (M.K.T.)
| | - Yair Lotan
- Department of Urology, University of Texas Southwestern, Dallas, TX 75390, USA;
| | - Nagireddy Putluri
- Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; (K.R.K.R.); (D.W.B.P.); (S.S.R.)
- Advanced Technology Cores, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; (A.H.M.K.); (V.P.)
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16
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Pisarska A, Wąsowicz W, Gromadzińska J. Lipidomic profiles as a tool to search for new biomarkers. Int J Occup Med Environ Health 2022; 35:111-126. [PMID: 35072665 PMCID: PMC10464741 DOI: 10.13075/ijomeh.1896.01857] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 09/23/2021] [Indexed: 10/19/2022] Open
Abstract
Lipidomics belongs to the family of the so-called omics domains, which, based on modern chemical technologies, strive to explain the biological principles of the organism's functioning. Main biological functions of lipids include energy storage, the formation of cell membranes, and participation in the transmission of biological signals, and their dysregulation is responsible for the development of pathological states. Thanks to lipid profiling, potential biomarkers for disease diagnosis and prognosis can be identified. This paper discusses selected examples of the use of lipidomic tests in the diagnosis of the kidney, metabolic and neoplastic diseases based on research papers published over the last few years (since 2016). Only works based on the study of human biological material by mass spectrometry methods were taken into account. The examples of lipidomics application presented in this publication are only a few of the possibilities of this technique. As potential possibilities have already been discovered, the next step for the research community is to work on standardization of the approach to lipidomic research and to develop bioinformatics methods that allow efficient processing and analysis of large amounts of data generated in this technique. Int J Occup Med Environ Health. 2022;35(2):111-26.
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Affiliation(s)
- Anna Pisarska
- Nofer Institute of Occupational Medicine, Department of Biological and Environmental Monitoring, Łódź, Poland
| | - Wojciech Wąsowicz
- Nofer Institute of Occupational Medicine, Department of Biological and Environmental Monitoring, Łódź, Poland
| | - Jolanta Gromadzińska
- Nofer Institute of Occupational Medicine, Department of Biological and Environmental Monitoring, Łódź, Poland
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17
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Baek J, He C, Afshinnia F, Michailidis G, Pennathur S. Lipidomic approaches to dissect dysregulated lipid metabolism in kidney disease. Nat Rev Nephrol 2022; 18:38-55. [PMID: 34616096 PMCID: PMC9146017 DOI: 10.1038/s41581-021-00488-2] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2021] [Indexed: 01/03/2023]
Abstract
Dyslipidaemia is a hallmark of chronic kidney disease (CKD). The severity of dyslipidaemia not only correlates with CKD stage but is also associated with CKD-associated cardiovascular disease and mortality. Understanding how lipids are dysregulated in CKD is, however, challenging owing to the incredible diversity of lipid structures. CKD-associated dyslipidaemia occurs as a consequence of complex interactions between genetic, environmental and kidney-specific factors, which to understand, requires an appreciation of perturbations in the underlying network of genes, proteins and lipids. Modern lipidomic technologies attempt to systematically identify and quantify lipid species from biological systems. The rapid development of a variety of analytical platforms based on mass spectrometry has enabled the identification of complex lipids at great precision and depth. Insights from lipidomics studies to date suggest that the overall architecture of free fatty acid partitioning between fatty acid oxidation and complex lipid fatty acid composition is an important driver of CKD progression. Available evidence suggests that CKD progression is associated with metabolic inflexibility, reflecting a diminished capacity to utilize free fatty acids through β-oxidation, and resulting in the diversion of accumulating fatty acids to complex lipids such as triglycerides. This effect is reversed with interventions that improve kidney health, suggesting that targeting of lipid abnormalities could be beneficial in preventing CKD progression.
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Affiliation(s)
- Judy Baek
- Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Chenchen He
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Farsad Afshinnia
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | - Subramaniam Pennathur
- Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
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18
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Wang X, Li H, Zou X, Yan X, Cong P, Li H, Wang H, Xue C, Xu J. Deep mining and quantification of oxidized cholesteryl esters discovers potential biomarkers involved in breast cancer by liquid chromatography-mass spectrometry. J Chromatogr A 2021; 1663:462764. [PMID: 34954533 DOI: 10.1016/j.chroma.2021.462764] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 10/19/2022]
Abstract
Oxidized cholesteryl ester (OxCE) is produced by the oxidation of cholesteryl ester (CE) in the cores of lipoproteins. OxCE production and oxidative stress have been largely associated with breast cancer. Herein, we developed a novel reverse-phase liquid chromatography coupling quadrupole time-of-flight mass spectrometry (RPLC‒Q-TOF‒MS) method based on the iterative acquisition mode and used the MS/MS mode for deep mining and simultaneous quantification of cholesterol (Chol), CEs and OxCEs in human serum. A mathematical model was used to globally profile 57 molecular species of both CEs and OxCEs in the serum of both healthy volunteers and patients with breast cancer, and the qualitative results were verified based on the retention regularity. An abnormal elevation of OxCEs was found in serum samples of breast cancer patients, where OxCEs were produced by the oxidation of the fatty acyl chain of CE (20:4), such as CE (20:1)+3O, CE (20:2)+2O and CE (20:3)+O, which could be regarded as biomarkers. This comprehensive method for the global profiling of Chol, OxCEs and CEs sheds light on the role OxCEs and CEs play in breast cancer and has enabled the discovery of breast cancer biomarkers.
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Affiliation(s)
- Xincen Wang
- College of Food Science and Engineering, Ocean University of China, No. 5, Yushan Road, Qingdao, Shandong 266003, China
| | - He Li
- College of Food Science and Engineering, Ocean University of China, No. 5, Yushan Road, Qingdao, Shandong 266003, China
| | - Xiao Zou
- Qingdao Central Hospital, No. 127, Siliu Nan Road, Qingdao, Shandong 266500, China
| | - Xiong Yan
- Qingdao Central Hospital, No. 127, Siliu Nan Road, Qingdao, Shandong 266500, China
| | - Peixu Cong
- College of Food Science and Engineering, Ocean University of China, No. 5, Yushan Road, Qingdao, Shandong 266003, China
| | - Hongyan Li
- College of Food Science and Engineering, Ocean University of China, No. 5, Yushan Road, Qingdao, Shandong 266003, China; College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, Qingdao 266042, China
| | - Hui Wang
- Agilent Technologies Co. Ltd., No. 9 Hongkong Zhong Road, Qingdao Shandong 266071, China
| | - Changhu Xue
- College of Food Science and Engineering, Ocean University of China, No. 5, Yushan Road, Qingdao, Shandong 266003, China; Laboratory of Marine Drugs and Biological Products, Pilot National Laboratory for Marine Science and Technology (Qingdao), No. 1, Wenhai Road, Qingdao, Shandong 266237, China.
| | - Jie Xu
- College of Food Science and Engineering, Ocean University of China, No. 5, Yushan Road, Qingdao, Shandong 266003, China.
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Anderson BG, Raskind A, Habra H, Kennedy RT, Evans CR. Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics. Anal Chem 2021; 93:15840-15849. [PMID: 34794310 PMCID: PMC10634695 DOI: 10.1021/acs.analchem.1c02149] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Untargeted metabolomics is an essential component of systems biology research, but it is plagued by a high proportion of detectable features not identified with a chemical structure. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) experiments produce spectra that can be searched against databases to help identify or classify these unknowns, but many features do not generate spectra of sufficient quality to enable successful annotation. Here, we explore alterations to gradient length, mass loading, and rolling precursor ion exclusion parameters for reversed phase liquid chromatography (RPLC) and hydrophilic interaction liquid chromatography (HILIC) that improve compound identification performance for human plasma samples. A manual review of spectral matches from the HILIC data set was used to determine reasonable thresholds for search score and other metrics to enable semi-automated MS/MS data analysis. Compared to typical LC-MS/MS conditions, methods adapted for compound identification increased the total number of unique metabolites that could be matched to a spectral database from 214 to 2052. Following data alignment, 68.0% of newly identified features from the modified conditions could be detected and quantitated using a routine 20-min LC-MS run. Finally, a localized machine learning model was developed to classify the remaining unknowns and select a subset that shared spectral characteristics with successfully identified features. A total of 576 and 749 unidentified features in the HILIC and RPLC data sets were classified by the model as high-priority unknowns or higher-importance targets for follow-up analysis. Overall, our study presents a simple strategy to more deeply annotate untargeted metabolomics data for a modest additional investment of time and sample.
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Affiliation(s)
- Brady G. Anderson
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109
- Biomedical Research Core Facilities Metabolomics Core, University of Michigan, Ann Arbor MI 48109
| | - Alexander Raskind
- Biomedical Research Core Facilities Metabolomics Core, University of Michigan, Ann Arbor MI 48109
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109
| | - Hani Habra
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109
| | - Robert T. Kennedy
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109
- Biomedical Research Core Facilities Metabolomics Core, University of Michigan, Ann Arbor MI 48109
- Department of Pharmacology, University of Michigan, Ann Arbor, MI 48109
| | - Charles R. Evans
- Biomedical Research Core Facilities Metabolomics Core, University of Michigan, Ann Arbor MI 48109
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109
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20
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Vecka M, Dušejovská M, Staňková B, Rychlík I, Žák A. A Matched Case-Control Study of Noncholesterol Sterols and Fatty Acids in Chronic Hemodialysis Patients. Metabolites 2021; 11:774. [PMID: 34822432 PMCID: PMC8618803 DOI: 10.3390/metabo11110774] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/09/2021] [Accepted: 11/10/2021] [Indexed: 12/17/2022] Open
Abstract
Dyslipidemia is common among patients on hemodialysis, but its etiology is not fully understood. Although changes in cholesterol homeostasis and fatty acid metabolism play an important role during dialysis, the interaction of these metabolic pathways has yet to be studied in sufficient detail. In this study, we enrolled 26 patients on maintenance hemodialysis treatment (high-volume hemodiafiltration, HV HDF) without statin therapy (17 men/9 women) and an age/gender-matched group of 26 individuals without signs of nephropathy. The HV-HDF group exhibited more frequent signs of cardiovascular disease, disturbed saccharide metabolism, and altered lipoprotein profiles, manifesting in lower HDL-C, and raised concentrations of IDL-C and apoB-48 (all p < 0.01). HV-HDF patients had higher levels of campesterol (p < 0.01) and β-sitosterol (p = 0.06), both surrogate markers of cholesterol absorption and unchanged lathosterol concentrations. Fatty acid (FA) profiles were changed mostly in cholesteryl esters, with a higher content of saturated and n-3 polyunsaturated fatty acids (PUFA) in the HV-HDF group. However, n-6 PUFA in cholesteryl esters were less abundant (p < 0.001) in the HV-HDF group. Hemodialysis during end-stage kidney disease induces changes associated with higher absorption of cholesterol and disturbed lipoprotein metabolism. Changes in fatty acid metabolism reflect the combined effect of renal insufficiency and its comorbidities, mostly insulin resistance.
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Affiliation(s)
- Marek Vecka
- Fourth Department of Internal Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, U Nemocnice 2, 128 08 Prague, Czech Republic; (M.D.); (B.S.); (A.Ž.)
- Institute of Clinical Chemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Na Bojišti 3, 121 08 Prague, Czech Republic
| | - Magdalena Dušejovská
- Fourth Department of Internal Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, U Nemocnice 2, 128 08 Prague, Czech Republic; (M.D.); (B.S.); (A.Ž.)
| | - Barbora Staňková
- Fourth Department of Internal Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, U Nemocnice 2, 128 08 Prague, Czech Republic; (M.D.); (B.S.); (A.Ž.)
| | - Ivan Rychlík
- Department of Internal Medicine, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Šrobárova 50, 100 34 Prague, Czech Republic;
| | - Aleš Žák
- Fourth Department of Internal Medicine, First Faculty of Medicine, Charles University and General University Hospital in Prague, U Nemocnice 2, 128 08 Prague, Czech Republic; (M.D.); (B.S.); (A.Ž.)
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21
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Fort PE, Rajendiran TM, Soni T, Byun J, Shan Y, Looker HC, Nelson RG, Kretzler M, Michailidis G, Roger JE, Gardner TW, Abcouwer SF, Pennathur S, Afshinnia F. Diminished retinal complex lipid synthesis and impaired fatty acid β-oxidation associated with human diabetic retinopathy. JCI Insight 2021; 6:e152109. [PMID: 34437304 PMCID: PMC8525591 DOI: 10.1172/jci.insight.152109] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/25/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND This study systematically investigated circulating and retinal tissue lipid determinants of human diabetic retinopathy (DR) to identify underlying lipid alterations associated with severity of DR. METHODS Retinal tissues were retrieved from postmortem human eyes, including 19 individuals without diabetes, 20 with diabetes but without DR, and 20 with diabetes and DR, for lipidomic study. In a parallel study, serum samples from 28 American Indians with type 2 diabetes from the Gila River Indian Community, including 12 without DR, 7 with mild nonproliferative DR (NPDR), and 9 with moderate NPDR, were selected. A mass-spectrometry–based lipidomic platform was used to measure serum and tissue lipids. RESULTS In the postmortem retinas, we found a graded decrease of long-chain acylcarnitines and longer-chain fatty acid ester of hydroxyl fatty acids, diacylglycerols, triacylglycerols, phosphatidylcholines, and ceramide(NS) in central retina from individuals with no diabetes to those with diabetes with DR. The American Indians’ sera also exhibited a graded decrease in circulating long-chain acylcarnitines and a graded increase in the intermediate-length saturated and monounsaturated triacylglycerols from no DR to moderate NPDR. CONCLUSION These findings suggest diminished synthesis of complex lipids and impaired mitochondrial β-oxidation of fatty acids in retinal DR, with parallel changes in circulating lipids. TRIAL REGISTRATION ClinicalTrials.gov NCT00340678. FUNDING This work was supported by NIH grants R24 DK082841, K08DK106523, R03DK121941, P30DK089503, P30DK081943, P30DK020572, P30 EY007003; The Thomas Beatson Foundation; and JDRF Center for Excellence (5-COE-2019-861-S-B).
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Affiliation(s)
- Patrice E Fort
- Department of Ophthalmology and Visual Sciences.,Department of Molecular and Integrative Physiology
| | | | | | - Jaeman Byun
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA
| | - Yang Shan
- Department of Ophthalmology and Visual Sciences
| | - Helen C Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix, Arizona, USA
| | - Robert G Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix, Arizona, USA
| | - Matthias Kretzler
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA
| | - George Michailidis
- Department of Statistics and the Informatics Institute, University of Florida, Gainesville, Florida, USA
| | - Jerome E Roger
- Paris-Saclay Institute of Neuroscience, CERTO-Retina France, CNRS, Université Paris-Saclay, Orsay, France
| | - Thomas W Gardner
- Department of Ophthalmology and Visual Sciences.,Department of Molecular and Integrative Physiology.,Department of Internal Medicine-Metabolism, Endocrinology and Diabetes, and
| | | | - Subramaniam Pennathur
- Department of Molecular and Integrative Physiology.,Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA.,Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, Michigan, USA
| | - Farsad Afshinnia
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA
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22
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Chen CHS, Kuo TC, Kuo HC, Tseng YJ, Kuo CH, Yuan TH, Chan CC. Lipidomics of children and adolescents exposed to multiple industrial pollutants. ENVIRONMENTAL RESEARCH 2021; 201:111448. [PMID: 34119529 DOI: 10.1016/j.envres.2021.111448] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/21/2021] [Accepted: 05/28/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND There are limited studies on the lipidomics of children and adolescents exposed to multiple industrial pollutants. OBJECTIVES In this study, we aimed to investigate lipid profile perturbations in 99 children and adolescents (aged 9-15) who lived in a polluted area surrounding the largest petrochemical complex in Taiwan. Previous studies have reported increased risks of acute and chronic diseases including liver dysfunctions and chronic kidney disease (CKD) in residents living in this area. METHODS We measured urinary concentrations of 11 metals and metalloids and polycyclic aromatic hydrocarbons (PAHs) metabolite 1-hydroxypyrene (1-OHP) as exposure biomarkers, and urinary oxidative stress biomarkers and serum acylcarnitines as early health effect biomarkers. The association between individual exposure biomarkers and early health effect biomarkers were analyzed using linear regression, while association of combined exposure biomarkers with four oxidative stress biomarkers and acylcarnitines were analyzed using weighted quantile sum (WQS) regression. Lipid profiles were analyzed using an untargeted liquid chromatography mass spectrometry-based technique. "Meet-in-the-middle" approach was applied to identify potential lipid features that linked multiple industrial pollutants exposure with early health effects. RESULTS We identified 15 potential lipid features that linked elevated multiple industrial pollutants exposure with three increased oxidative stress biomarkers and eight deregulated serum acylcarnitines, including one lysophosphatidylcholines (LPCs), four phosphatidylcholines (PCs), and two sphingomyelins (SMs) that were up-regulated in high exposure group compared to low exposure group, and two LPCs, four PCs, and two phosphatidylinositols (PIs) down-regulated in high exposure group compared to low exposure group. CONCLUSION Our findings could provide information for understanding the health effects, including early indicators and biological mechanism identification, of children and adolescents exposed to multiple industrial pollutants during critical stages of development.
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Affiliation(s)
- Chi-Hsin S Chen
- Master of Public Health Program, College of Public Health, National Taiwan University. No. 17, Xu-Zhou Road, Taipei, 10055, Taiwan
| | - Tien-Chueh Kuo
- The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University. No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan; Graduate Institute of Biomedical Electronics and Bioinformatics, College of Electrical Engineering and Computer Science, National Taiwan University. No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan
| | - Han-Chun Kuo
- The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University. No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan
| | - Yufeng J Tseng
- Graduate Institute of Biomedical Electronics and Bioinformatics, College of Electrical Engineering and Computer Science, National Taiwan University. No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan; Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National Taiwan University. No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan
| | - Ching-Hua Kuo
- School of Pharmacy, College of Medicine, National Taiwan University. No. 33, Linsen S. Road, Taipei, 10055, Taiwan
| | - Tzu-Hsuen Yuan
- Department of Health and Welfare, College of City Management, University of Taipei, Taipei, Taiwan. No.101, Sec. 2, Zhongcheng Rd., Shilin Dist., Taipei City, 11153, Taiwan
| | - Chang-Chuan Chan
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University. No. 17, Xu-Zhou Road, Taipei, 10055, Taiwan.
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23
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Afshinnia F, Rajendiran TM, He C, Byun J, Montemayor D, Darshi M, Tumova J, Kim J, Limonte CP, Miller RG, Costacou T, Orchard TJ, Ahluwalia TS, Rossing P, Snell-Bergeon JK, de Boer IH, Natarajan L, Michailidis G, Sharma K, Pennathur S. Circulating Free Fatty Acid and Phospholipid Signature Predicts Early Rapid Kidney Function Decline in Patients With Type 1 Diabetes. Diabetes Care 2021; 44:2098-2106. [PMID: 34244329 PMCID: PMC8740931 DOI: 10.2337/dc21-0737] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 05/27/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVES Patients with type 1 diabetes (T1D) exhibit modest lipid abnormalities as measured by traditional metrics. This study aimed to identify lipidomic predictors of rapid decline of kidney function in T1D. RESEARCH DESIGN AND METHODS In a case-control study, 817 patients with T1D from three large cohorts were randomly split into training and validation subsets. Case was defined as >3 mL/min/1.73 m2 per year decline in estimated glomerular filtration rate (eGFR), while control was defined as <1 mL/min/1.73 m2 per year decline over a minimum 4-year follow-up. Lipids were quantified in baseline serum samples using a targeted mass spectrometry lipidomic platform. RESULTS At individual lipids, free fatty acid (FFA)20:2 was directly and phosphatidylcholine (PC)16:0/22:6 was inversely and independently associated with rapid eGFR decline. When examined by lipid class, rapid eGFR decline was characterized by higher abundance of unsaturated FFAs, phosphatidylethanolamine (PE)-Ps, and PCs with an unsaturated acyl chain at the sn1 carbon, and by lower abundance of saturated FFAs, longer triacylglycerols, and PCs, PEs, PE-Ps, and PE-Os with an unsaturated acyl chain at the sn1 carbon at eGFR ≥90 mL/min/1.73 m2. A multilipid panel consisting of unsaturated FFAs and saturated PE-Ps predicted rapid eGFR decline better than individual lipids (C-statistic, 0.71) and improved the C-statistic of the clinical model from 0.816 to 0.841 (P = 0.039). Observations were confirmed in the validation subset. CONCLUSIONS Distinct from previously reported predictors of GFR decline in type 2 diabetes, these findings suggest differential incorporation of FFAs at the sn1 carbon of the phospholipids' glycerol backbone as an independent predictor of rapid GFR decline in T1D.
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Affiliation(s)
- Farsad Afshinnia
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI
| | - Thekkelnaycke M Rajendiran
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI.,Department of Pathology, University of Michigan, Ann Arbor, MI
| | - Chenchen He
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI
| | - Jaeman Byun
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI
| | - Daniel Montemayor
- Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.,Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Manjula Darshi
- Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.,Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Jana Tumova
- Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.,Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Jiwan Kim
- Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.,Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Christine P Limonte
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA.,Kidney Research Institute, University of Washington, Seattle, WA
| | - Rachel G Miller
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Tina Costacou
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Trevor J Orchard
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Tarunveer S Ahluwalia
- Steno Diabetes Center Copenhagen, Copenhagen, Denmark.,Department of Biology, The Bioinformatics Center, University of Copenhagen, Copenhagen, Denmark
| | - Peter Rossing
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Janet K Snell-Bergeon
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA.,Kidney Research Institute, University of Washington, Seattle, WA.,Puget Sound Veterans Affairs Healthcare System, Seattle, WA
| | - Loki Natarajan
- Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science and Moores Cancer Center, University of California San Diego, La Jolla, CA
| | - George Michailidis
- Department of Statistics and the Informatics Institute, University of Florida, Gainesville, FL
| | - Kumar Sharma
- Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX .,Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Subramaniam Pennathur
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI .,Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI.,Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI
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24
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Qiao Y, Choi JE, Tien JC, Simko SA, Rajendiran T, Vo JN, Delekta AD, Wang L, Xiao L, Hodge NB, Desai P, Mendoza S, Juckette K, Xu A, Soni T, Su F, Wang R, Cao X, Yu J, Kryczek I, Wang XM, Wang X, Siddiqui J, Wang Z, Bernard A, Fernandez-Salas E, Navone NM, Ellison SJ, Ding K, Eskelinen EL, Heath EI, Klionsky DJ, Zou W, Chinnaiyan AM. Autophagy Inhibition by Targeting PIKfyve Potentiates Response to Immune Checkpoint Blockade in Prostate Cancer. NATURE CANCER 2021; 2:978-993. [PMID: 34738088 PMCID: PMC8562569 DOI: 10.1038/s43018-021-00237-1] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Multi-tyrosine kinase inhibitors (MTKIs) have thus far had limited success in the treatment of castration-resistant prostate cancer (CRPC). Here, we report a phase I-cleared orally bioavailable MTKI, ESK981, with a novel autophagy inhibitory property that decreased tumor growth in diverse preclinical models of CRPC. The anti-tumor activity of ESK981 was maximized in immunocompetent tumor environments where it upregulated CXCL10 expression through the interferon gamma pathway and promoted functional T cell infiltration, which resulted in enhanced therapeutic response to immune checkpoint blockade. Mechanistically, we identify the lipid kinase PIKfyve as the direct target of ESK981. PIKfyve-knockdown recapitulated ESK981's anti-tumor activity and enhanced the therapeutic benefit of immune checkpoint blockade. Our study reveals that targeting PIKfyve via ESK981 turns tumors from cold into hot through inhibition of autophagy, which may prime the tumor immune microenvironment in advanced prostate cancer patients and be an effective treatment strategy alone or in combination with immunotherapies.
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Affiliation(s)
- Yuanyuan Qiao
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jae Eun Choi
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,School of Medicine, University of California, San Diego, California 92093, USA
| | - Jean C. Tien
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Stephanie A. Simko
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Thekkelnaycke Rajendiran
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, Michigan 48109, USA
| | - Josh N. Vo
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Andrew D. Delekta
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Lisha Wang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Lanbo Xiao
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Nathan B. Hodge
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Parth Desai
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Sergio Mendoza
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Kristin Juckette
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Alice Xu
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Tanu Soni
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, Michigan 48109, USA
| | - Fengyun Su
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Rui Wang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Xuhong Cao
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Howard Hughes Medical Institute, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jiali Yu
- Department of Surgery, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Ilona Kryczek
- Department of Surgery, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Xiao-Ming Wang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Xiaoju Wang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Javed Siddiqui
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Zhen Wang
- School of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Amélie Bernard
- CNRS, Laboratoire de Biogenèse Membranaire, UMR5200; Université de Bordeaux, Laboratoire de Biogenèse Membranaire, UMR5200, 33000 Bordeaux, France.,Life Sciences Institute and Department of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Ester Fernandez-Salas
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Nora M. Navone
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Stephanie J. Ellison
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Ke Ding
- School of Pharmacy, Jinan University, Guangzhou 510632, China
| | | | - Elisabeth I. Heath
- Karmanos Cancer Institute, Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Daniel J. Klionsky
- Life Sciences Institute and Department of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Weiping Zou
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Surgery, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA
| | - Arul M. Chinnaiyan
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan 48109, USA.,Howard Hughes Medical Institute, University of Michigan, Ann Arbor, Michigan 48109, USA.,Department of Urology, University of Michigan, Ann Arbor, Michigan 48109, USA.,Correspondence to: Arul M. Chinnaiyan, Michigan Center for Translational Pathology, Rogel Cancer Center, 1500 East Medical Center Drive, Ann Arbor, Michigan 48109, USA. Phone: 734-615-4062; Fax: 734-615-4498;
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25
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Deng Y, Wu Q, Chen W, Zhu L, Liu W, Xia F, Sun L, Lin X, Zeng R. Lipidomics reveals association of circulating lipids with body mass index and outcomes in IgA nephropathy patients. J Mol Cell Biol 2021; 13:mjab040. [PMID: 34272854 PMCID: PMC8697343 DOI: 10.1093/jmcb/mjab040] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 03/16/2021] [Accepted: 03/30/2021] [Indexed: 11/12/2022] Open
Abstract
IgA nephropathy (IgAN) is a leading cause of chronic kidney disease (CKD), which are commonly accompanied by dyslipidemia. Obesity is also associated with dyslipidemia and risk of CKD, but the relation of the dyslipidemia patterns with obesity and disease progression in IgAN patients remains unknown. Traditional Chinese medicine (TCM) and the combined treatment with corticosteroids and TCM have been shown to be of benefit for IgAN patients, but predictive markers for guiding these treatments are lacking. Here, we quantified 545 lipid species in the plasma from 196 participants, including 140 IgAN patients and 56 healthy volunteers, and revealed an altered plasma lipidome in IgAN patients as compared to healthy participants. Association analysis showed that a sub-group of glycerides, particularly triacylglycerols (TGs) containing docosahexaenoic acid, were positively associated with high body mass index (BMI) in under- or normal weight IgAN patients, while several free fatty acids and sphingomyelins were positively associated with high BMI in overweight or obese IgAN patients. Further, our study suggested that elevated levels of eight lipids, mainly TG species containing linolenic acid, were independent risk factors for IgAN progression and also reported the prospective association of circulating lipids with treatment outcomes in IgAN. Taken together, our findings may not only help to achieve precision medicine but also provide a knowledge base for dietary intervention in the treatment of IgAN.
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Affiliation(s)
- Yueyi Deng
- Department of Nephrology, Longhua Hospital, Shanghai University of Traditional
Chinese Medicine, Shanghai 200032, China
| | - Qingqing Wu
- Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in
Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031,
China
| | - Wanjia Chen
- Department of Nephrology, Longhua Hospital, Shanghai University of Traditional
Chinese Medicine, Shanghai 200032, China
| | - Li Zhu
- Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in
Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031,
China
| | - Wangyi Liu
- Department of Nephrology, Longhua Hospital, Shanghai University of Traditional
Chinese Medicine, Shanghai 200032, China
| | - Fangying Xia
- Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in
Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031,
China
| | - Liang Sun
- Shanghai Institute of Nutrition and Health, Chinese Academy of
Sciences, Shanghai 200031, China
| | - Xu Lin
- Shanghai Institute of Nutrition and Health, Chinese Academy of
Sciences, Shanghai 200031, China
| | - Rong Zeng
- Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in
Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031,
China
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26
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Sas KM, Lin J, Wang CH, Zhang H, Saha J, Rajendiran TM, Soni T, Nair V, Eichinger F, Kretzler M, Brosius FC, Michailidis G, Pennathur S. Renin-angiotensin system inhibition reverses the altered triacylglycerol metabolic network in diabetic kidney disease. Metabolomics 2021; 17:65. [PMID: 34219205 PMCID: PMC8312633 DOI: 10.1007/s11306-021-01816-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/24/2021] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Dyslipidemia is a significant risk factor for progression of diabetic kidney disease (DKD). Determining the changes in individual lipids and lipid networks across a spectrum of DKD severity may identify lipids that are pathogenic to DKD progression. METHODS We performed untargeted lipidomic analysis of kidney cortex tissue from diabetic db/db and db/db eNOS-/- mice along with non-diabetic littermate controls. A subset of mice were treated with the renin-angiotensin system (RAS) inhibitors, lisinopril and losartan, which improves the DKD phenotype in the db/db eNOS-/- mouse model. RESULTS Of the three independent variables in this study, diabetes had the largest impact on overall lipid levels in the kidney cortex, while eNOS expression and RAS inhibition had smaller impacts on kidney lipid levels. Kidney lipid network architecture, particularly of networks involving glycerolipids such as triacylglycerols, was substantially disrupted by worsening kidney disease in the db/db eNOS-/- mice compared to the db/db mice, a feature that was reversed with RAS inhibition. This was associated with decreased expression of the stearoyl-CoA desaturases, Scd1 and Scd2, with RAS inhibition. CONCLUSIONS In addition to the known salutary effect of RAS inhibition on DKD progression, our results suggest a previously unrecognized role for RAS inhibition on the kidney triacylglycerol lipid metabolic network.
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Affiliation(s)
- Kelli M Sas
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 5309 Brehm Center, 1000 Wall St., Ann Arbor, Michigan, 48105, USA
| | - Jiahe Lin
- Department of Statistics, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Chih-Hong Wang
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 5309 Brehm Center, 1000 Wall St., Ann Arbor, Michigan, 48105, USA
| | - Hongyu Zhang
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 5309 Brehm Center, 1000 Wall St., Ann Arbor, Michigan, 48105, USA
| | - Jharna Saha
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 5309 Brehm Center, 1000 Wall St., Ann Arbor, Michigan, 48105, USA
| | - Thekkelnaycke M Rajendiran
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, 48109, USA
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, Michigan, 48105, USA
| | - Tanu Soni
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, Michigan, 48105, USA
| | - Viji Nair
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 5309 Brehm Center, 1000 Wall St., Ann Arbor, Michigan, 48105, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Felix Eichinger
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 5309 Brehm Center, 1000 Wall St., Ann Arbor, Michigan, 48105, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Matthias Kretzler
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 5309 Brehm Center, 1000 Wall St., Ann Arbor, Michigan, 48105, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, 48109, USA
| | - Frank C Brosius
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 5309 Brehm Center, 1000 Wall St., Ann Arbor, Michigan, 48105, USA
- Division of Nephrology, Department of Medicine, University of Arizona, Tucson, Arizona, 85724, USA
| | - George Michailidis
- Department of Statistics and Computer and Information Sciences, University of Florida, Gainesville, Florida, 32611, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, 5309 Brehm Center, 1000 Wall St., Ann Arbor, Michigan, 48105, USA.
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, Michigan, 48105, USA.
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, 48109, USA.
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27
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Akinci B, Subauste A, Ajluni N, Esfandiari NH, Meral R, Neidert AH, Eraslan A, Hench R, Rus D, Mckenna B, Hussain HK, Chenevert TL, Tayeh MK, Rupani AR, Innis JW, Mantzoros CS, Conjeevaram HS, Burant CL, Oral EA. Metreleptin therapy for nonalcoholic steatohepatitis: Open-label therapy interventions in two different clinical settings. MED 2021; 2:814-835. [DOI: 10.1016/j.medj.2021.04.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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28
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Caballero FF, Struijk EA, Buño A, Rodríguez-Artalejo F, Lopez-Garcia E. Plasma Ceramides and Risk of Impaired Lower-Extremity Function in Older Adults: A Nested Case-Control Study. J Gerontol A Biol Sci Med Sci 2021; 76:1280-1287. [PMID: 32756936 DOI: 10.1093/gerona/glaa188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Higher levels of ceramides have been linked to several chronic diseases; also there is emerging cross-sectional evidence that ceramides are associated with lower physical functioning. This research assessed for the first time the prospective relationship between ceramide species and impaired lower-extremity function (ILEF) in older adults. METHODS Case-control study with 43 cases of ILEF and 86 age- and sex-matched controls, which was nested in the Seniors-ENRICA cohort of community-dwelling older adults. Incident ILEF from 2015 to 2017 was ascertained with the Short Physical Performance Battery. In 2015, 27 ceramide species were measured in plasma by liquid chromatography-tandem mass spectrometry. Conditional logistic regression models were used to assess the longitudinal relationship between ceramides concentration and incidence of ILEF. RESULTS After adjusting for education level, body mass index, alcohol and total energy intake, physical activity, and presence of chronic conditions, some ceramide species were related to 2-year incidence of ILEF. Specifically, the odds ratios of ILEF per 1-SD increase in ceramide concentration were: 1.66 [95% CI = (1.03, 2.68)] for ceramide C14:0, 1.61 (1.00, 2.59) for ceramide C16:0, and 1.64 (1.03, 2.60) for ceramide C16:1 (n-7). In the case of ceramides C16:0 and C16:1 (n-7), a stronger relationship was found in those with a higher body mass index; systolic blood pressure could also mediate the relationship between ceramide C16:1 (n-7) and ILEF (p for interaction = .03). CONCLUSIONS Higher plasma levels of ceramides C14:0, C16:0, and C16:1 (n-7) are associated with higher risk of ILEF, and might serve as risk markers for functional decline in older adults.
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Affiliation(s)
- Francisco Félix Caballero
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-IdiPaz and CIBERESP (CIBER of Epidemiology and Public Health), Spain
| | - Ellen A Struijk
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-IdiPaz and CIBERESP (CIBER of Epidemiology and Public Health), Spain
| | - Antonio Buño
- Department of Laboratory Medicine, La Paz University Hospital-IdiPaz, Madrid, Spain
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-IdiPaz and CIBERESP (CIBER of Epidemiology and Public Health), Spain.,IMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain
| | - Esther Lopez-Garcia
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-IdiPaz and CIBERESP (CIBER of Epidemiology and Public Health), Spain.,IMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain
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29
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Lindenmeyer MT, Alakwaa F, Rose M, Kretzler M. Perspectives in systems nephrology. Cell Tissue Res 2021; 385:475-488. [PMID: 34027630 PMCID: PMC8523456 DOI: 10.1007/s00441-021-03470-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 04/28/2021] [Indexed: 12/19/2022]
Abstract
Chronic kidney diseases (CKD) are a major health problem affecting approximately 10% of the world’s population and posing increasing challenges to the healthcare system. While CKD encompasses a broad spectrum of pathological processes and diverse etiologies, the classification of kidney disease is currently based on clinical findings or histopathological categorizations. This descriptive classification is agnostic towards the underlying disease mechanisms and has limited progress towards the ability to predict disease prognosis and treatment responses. To gain better insight into the complex and heterogeneous disease pathophysiology of CKD, a systems biology approach can be transformative. Rather than examining one factor or pathway at a time, as in the reductionist approach, with this strategy a broad spectrum of information is integrated, including comprehensive multi-omics data, clinical phenotypic information, and clinicopathological parameters. In recent years, rapid advances in mathematical, statistical, computational, and artificial intelligence methods enable the mapping of diverse big data sets. This holistic approach aims to identify the molecular basis of CKD subtypes as well as individual determinants of disease manifestation in a given patient. The emerging mechanism-based patient stratification and disease classification will lead to improved prognostic and predictive diagnostics and the discovery of novel molecular disease-specific therapies.
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Affiliation(s)
- Maja T Lindenmeyer
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Fadhl Alakwaa
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Michael Rose
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
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30
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Marczak L, Idkowiak J, Tracz J, Stobiecki M, Perek B, Kostka-Jeziorny K, Tykarski A, Wanic-Kossowska M, Borowski M, Osuch M, Formanowicz D, Luczak M. Mass Spectrometry-Based Lipidomics Reveals Differential Changes in the Accumulated Lipid Classes in Chronic Kidney Disease. Metabolites 2021; 11:275. [PMID: 33925471 PMCID: PMC8146808 DOI: 10.3390/metabo11050275] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 04/23/2021] [Indexed: 11/16/2022] Open
Abstract
Chronic kidney disease (CKD) is characterized by the progressive loss of functional nephrons. Although cardiovascular disease (CVD) complications and atherosclerosis are the leading causes of morbidity and mortality in CKD, the mechanism by which the progression of CVD accelerates remains unclear. To reveal the molecular mechanisms associated with atherosclerosis linked to CKD, we applied a shotgun lipidomics approach fortified with standard laboratory analytical methods and gas chromatography-mass spectrometry technique on selected lipid components and precursors to analyze the plasma lipidome in CKD and classical CVD patients. The MS-based lipidome profiling revealed the upregulation of triacylglycerols in CKD and downregulation of cholesterol/cholesteryl esters, sphingomyelins, phosphatidylcholines, phosphatidylethanolamines and ceramides as compared to CVD group and controls. We have further observed a decreased abundance of seven fatty acids in CKD with strong inter-correlation. In contrast, the level of glycerol was elevated in CKD in comparison to all analyzed groups. Our results revealed the putative existence of a functional causative link-the low cholesterol level correlated with lower estimated glomerular filtration rate and kidney dysfunction that supports the postulated "reverse epidemiology" theory and suggest that the lipidomic background of atherosclerosis-related to CKD is unique and might be associated with other cellular factors, i.e., inflammation.
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Affiliation(s)
- Lukasz Marczak
- Department of Natural Products Biochemistry, Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704 Poznan, Poland; (J.I.); (M.S.)
| | - Jakub Idkowiak
- Department of Natural Products Biochemistry, Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704 Poznan, Poland; (J.I.); (M.S.)
- Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, 532 10 Pardubice, Czech Republic
| | - Joanna Tracz
- Department of Biomedical Proteomics, Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704 Poznan, Poland;
| | - Maciej Stobiecki
- Department of Natural Products Biochemistry, Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704 Poznan, Poland; (J.I.); (M.S.)
| | - Bartłomiej Perek
- Department of Cardiac Surgery and Transplantology, Poznan University of Medical Sciences, 61-001 Poznan, Poland;
| | - Katarzyna Kostka-Jeziorny
- Department of Hypertension, Angiology and Internal Disease, Poznan University of Medical Sciences, 61-001 Poznan, Poland; (K.K.-J.); (A.T.)
| | - Andrzej Tykarski
- Department of Hypertension, Angiology and Internal Disease, Poznan University of Medical Sciences, 61-001 Poznan, Poland; (K.K.-J.); (A.T.)
| | - Maria Wanic-Kossowska
- Department of Nephrology, Transplantology and Internal Medicine, Poznan University of Medical Sciences, 60-355 Poznan, Poland;
| | - Marcin Borowski
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland;
| | - Marcin Osuch
- Department of Molecular and Systems Biology, Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704 Poznan, Poland;
| | - Dorota Formanowicz
- Chair and Department of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, 60-806 Poznan, Poland;
| | - Magdalena Luczak
- Department of Biomedical Proteomics, Institute of Bioorganic Chemistry Polish Academy of Sciences, 61-704 Poznan, Poland;
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31
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Aung MT, Ashrap P, Watkins DJ, Mukherjee B, Rosario Z, Vélez-Vega CM, Alshawabkeh AN, Cordero JF, Meeker JD. Maternal lipidomic signatures in relation to spontaneous preterm birth and large-for-gestational age neonates. Sci Rep 2021; 11:8115. [PMID: 33854141 PMCID: PMC8046995 DOI: 10.1038/s41598-021-87472-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 03/22/2021] [Indexed: 12/17/2022] Open
Abstract
Lipidome-wide metabolites may be useful biomarkers of pregnancy outcomes. We sought to characterize maternal lipidomic signatures associated with preterm birth and neonatal anthropometric parameters. Plasma samples were collected 24–28 weeks gestation, and lipidomic profiling was quantified using high-performance liquid chromatography tandem mass spectrometry. Lipid metabolites were analyzed individually and as whole lipid classes and subgroups based on degree of hydrocarbon chain saturation. Associations were estimated using linear and logistic regression. After false discovery adjustment (q < 0.15), four plasmenyl-phosphatidylethanolamines and three free fatty acids associated with increased risk for spontaneous preterm birth. Five phosphatidylinositols, two phosphatidylglycerols, and one phosphatidic acid were associated with large for gestational age neonates. The saturated plasmenyl-phosphatidylethanolamines held the association with increased risk for spontaneous preterm birth. Both the mono- and poly-unsaturated free fatty acids held the association for increased risk for spontaneous preterm birth. Mono- and poly-unsaturated phosphatidylinositols were associated with large for gestational age neonates. Whole lipid classes (plasmenyl-phophatidylcholines and plasmenyl-phosphatidylethanolamines) were associated with increased risk for large for gestational age at delivery. This study provides evidence that finer omics-scale analysis of the maternal lipidome may be more informative biomarkers of pregnancy outcomes compared to whole class level lipid analysis.
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Affiliation(s)
- Max T Aung
- Department of Biostatistics, University of Michigan, School of Public Health, Ann Arbor, MI, USA
| | - Pahriya Ashrap
- Department of Environmental Health Sciences, University of Michigan, School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Deborah J Watkins
- Department of Environmental Health Sciences, University of Michigan, School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan, School of Public Health, Ann Arbor, MI, USA.,Department of Epidemiology, University of Michigan, School of Public Health, Ann Arbor, MI, USA
| | - Zaira Rosario
- University of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico, USA
| | - Carmen M Vélez-Vega
- University of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico, USA
| | | | - José F Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA, USA
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan, School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
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32
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LaBarre JL, Miller AL, Bauer KW, Burant CF, Lumeng JC. Early life stress exposure associated with reduced polyunsaturated-containing lipids in low-income children. Pediatr Res 2021; 89:1310-1315. [PMID: 32492693 PMCID: PMC7710594 DOI: 10.1038/s41390-020-0989-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 03/30/2020] [Accepted: 05/19/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Psychosocial stress in early childhood is associated with adult obesity and cardiometabolic disease. The association of psychosocial stress with the metabolome in childhood is unknown. METHOD Low-income children (n = 28, mean age 1.8 years), recruited from the community, participated. Psychosocial stress was measured by diurnal salivary cortisol (cortisol intercept and slope) and by mother-reported chaos in the home using the Confusion, Hubbub, and Order Scale (CHAOS). At mean age 6.1 years, anthropometry was collected and fasting metabolites measured using an untargeted metabolomics and shotgun lipidomics platform. RESULTS Cortisol slope was inversely associated with fatty acid (FA) 20:3, FA 20:4 and polyunsaturated fatty acids (PUFA) metabolites. A higher CHAOS score was associated with lower very long-chain PUFA metabolites and a trend towards lower long-chain PUFA containing triglycerides. CONCLUSIONS Psychosocial stress in early childhood, measured with both biological markers and parent report, was associated with lower PUFAs later in childhood. Future work should examine potential mechanisms of association, including dietary intake or direct effects on polyunsaturated fatty acid levels or metabolism. IMPACT In this longitudinal study, the key message is that diurnal cortisol patterns and greater parent-reported psychosocial stress exposure in early childhood are associated with lower plasma polyunsaturated fatty acid containing lipids 5 years later, potentially indicating altered dietary intake or metabolism associated with psychosocial stress. Untargeted metabolomics and lipidomics can be used to assess changes in metabolism response to psychosocial stress. Stress exposure in early childhood may be associated with the future metabolome. Future work should examine potential pathways of association, including dietary intake and direct effects on metabolism.
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Affiliation(s)
- Jennifer L. LaBarre
- Department of Nutritional Sciences, University of Michigan School of Public Health
| | - Alison L. Miller
- Center for Human Growth and Development, University of Michigan,,Department of Health Behavior and Health Education, School of Public Health
| | - Katherine W. Bauer
- Department of Nutritional Sciences, University of Michigan School of Public Health,,Center for Human Growth and Development, University of Michigan
| | - Charles F. Burant
- Department of Nutritional Sciences, University of Michigan School of Public Health,,Department of Internal Medicine, University of Michigan Medical School
| | - Julie C. Lumeng
- Department of Nutritional Sciences, University of Michigan School of Public Health,,Center for Human Growth and Development, University of Michigan,,Department of Pediatrics, University of Michigan Medical School
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33
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Wang YN, Wu XQ, Zhang DD, Hu HH, Liu JL, Vaziri ND, Guo Y, Zhao YY, Miao H. Polyporus Umbellatus Protects Against Renal Fibrosis by Regulating Intrarenal Fatty Acyl Metabolites. Front Pharmacol 2021; 12:633566. [PMID: 33679418 PMCID: PMC7934088 DOI: 10.3389/fphar.2021.633566] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 01/14/2021] [Indexed: 01/19/2023] Open
Abstract
Background: Chronic renal failure (CRF) results in significant dyslipidemia and profound changes in lipid metabolism. Polyporus umbellatus (PPU) has been shown to prevent kidney injury and subsequent kidney fibrosis. Methods: Lipidomic analysis was performed to explore the intrarenal profile of lipid metabolites and further investigate the effect of PPU and its main bioactive component, ergone, on disorders of lipid metabolism in rats induced by adenine. Univariate and multivariate statistical analyses were performed for choosing intrarenal differential lipid species in CRF rats and the intervening effect of n-hexane extract of PPU and ergone on CRF rats. Results: Compared with control group, decreased creatinine clearance rate indicated declining kidney function in CRF group. Based on the lipidomics, we identified 65 lipid species that showed significant differences between CRF and control groups. The levels of 12 lipid species, especially fatty acyl lipids including docosahexaenoic acid, docosapentaenoic acid (22n-3), 10,11-Dihydro-12R-hydroxy-leukotriene C4, 3-hydroxydodecanoyl carnitine, eicosapentaenoic acid, hypogeic acid and 3-hydroxypentadecanoic acid had a strong linear correlation with creatinine clearance rate, which indicated these lipid species were associated with impaired renal function. In addition, receiver operating characteristics analysis showed that 12 lipid species had high area under the curve values with high sensitivity and specificity for differentiating CRF group from control group. These changes are related to the perturbation of fatty acyl metabolism. Treatment with PPU and ergone improved the impaired kidney function and mitigated renal fibrosis. Both chemometrics and cluster analyses showed that rats treated by PPU and ergone could be separated from CRF rats by using 12 lipid species. Intriguingly, PPU treatment could restore the levels of 12 lipid species, while treatment with ergone could only reverse the changes of six fatty acids in CRF rats. Conclusion: Altered intrarenal fatty acyl metabolites were implicated in pathogenesis of renal fibrosis. PPU and ergone administration alleviated renal fibrosis and partially improved fatty acyl metabolism. These findings suggest that PPU exerted its renoprotective effect by regulating fatty acyl metabolism as a potential biochemical mechanism. Therefore, these findings indicated that fatty acyl metabolism played an important role in renal fibrosis and could be considered as an effective therapeutic avenue against renal fibrosis.
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Affiliation(s)
- Yan-Ni Wang
- Faculty of Life Science and Medicine, Northwest University, Shaanxi, China
| | - Xia-Qing Wu
- Faculty of Life Science and Medicine, Northwest University, Shaanxi, China
| | - Dan-Dan Zhang
- Faculty of Life Science and Medicine, Northwest University, Shaanxi, China
| | - He-He Hu
- Faculty of Life Science and Medicine, Northwest University, Shaanxi, China
| | - Jian-Ling Liu
- Faculty of Life Science and Medicine, Northwest University, Shaanxi, China
| | - Nosratola D Vaziri
- Division of Nephrology and Hypertension, School of Medicine, University of California Irvine, Irvine, CA, United States
| | - Yan Guo
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, United States
| | - Ying-Yong Zhao
- Faculty of Life Science and Medicine, Northwest University, Shaanxi, China
| | - Hua Miao
- Faculty of Life Science and Medicine, Northwest University, Shaanxi, China
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34
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LaBarre JL, McCabe CF, Jones TR, Song PX, Domino SE, Treadwell MC, Dolinoy DC, Padmanabhan V, Burant CF, Goodrich JM. Maternal lipodome across pregnancy is associated with the neonatal DNA methylome. Epigenomics 2020; 12:2077-2092. [PMID: 33290095 DOI: 10.2217/epi-2020-0234] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Aim: To classify the association between the maternal lipidome and DNA methylation in cord blood leukocytes. Materials & methods: Untargeted lipidomics was performed on first trimester maternal plasma (M1) and delivery maternal plasma (M3) in 100 mothers from the Michigan Mother-Infant Pairs cohort. Cord blood leukocyte DNA methylation was profiled using the Infinium EPIC bead array and empirical Bayes modeling identified differential DNA methylation related to maternal lipid groups. Results: M3-saturated lysophosphatidylcholine was associated with 45 differentially methylated loci and M3-saturated lysophosphatidylethanolamine was associated with 18 differentially methylated loci. Biological pathways enriched among differentially methylated loci by M3 saturated lysophosphatidylcholines were related to cell proliferation and growth. Conclusion: The maternal lipidome may be influential in establishing the infant epigenome.
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Affiliation(s)
- Jennifer L LaBarre
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.,Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Carolyn F McCabe
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Tamara R Jones
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Peter Xk Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Steven E Domino
- Department of Obstetrics & Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Marjorie C Treadwell
- Department of Obstetrics & Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Dana C Dolinoy
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Vasantha Padmanabhan
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Department of Obstetrics & Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA.,Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - Charles F Burant
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jaclyn M Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
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35
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Afshinnia F, Jadoon A, Rajendiran TM, Soni T, Byun J, Michailidis G, Pennathur S. Plasma lipidomic profiling identifies a novel complex lipid signature associated with ischemic stroke in chronic kidney disease. JOURNAL OF TRANSLATIONAL SCIENCE 2020; 6:419. [PMID: 33240530 PMCID: PMC7682927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
RATIONALE AND OBJECTIVE Despite contribution of dyslipidemia to ischemic stroke, plasma lipidomic correlates of stroke in CKD is not studied. This study is aimed to identify plasma lipid alterations associated with stroke. STUDY DESIGN Cross sectional. SETTING AND POPULATION 214 participants of Clinical Phenotyping and Resource Biobank Core (CPROBE). Clinical data and plasma samples at the time of recruitment were obtained and used to generate lipidomic data by liquid chromatography/mass-spectrometry-based untargeted platform. PREDICTORS Various levels of free fatty acids, acylcarnitines and complex lipids. OUTCOME Stroke. ANALYTIC APPROACH includes compound by compound comparison of lipids using t-test adjusted by false discovery rate in patients with and without stroke, and application of logistic regression analysis to identify independent lipid predictors of stroke and to estimate the odds associated with their various levels. RESULTS Overall, we identified 330 compounds. Enrichment analysis revealed overrepresentation of differentially regulated phosphatidylcholines (PC)s and phosphatidylethanolamines (PE)s were overrepresented in stroke (P<0.001). Abundance of PC38:4, PE36:4, PC34:0, and palmitate were significantly higher, but those of plasmenyl-PE (pPE)38:2, and PE 32:2 was significantly lower in patients with stroke (p≤0.0014). After adjusting, each 1-SD increase in palmitate and PC38:4 was independently associated with 1.84 fold (95% CI: 1.06-3.20, p=0.031) and 1.84 fold (1.11-3.05, p=0.018) higher risk of stroke, respectively. We observed a significant trend toward higher abundance of PCs, PEs, pPEs, and sphingomyelins in stroke (p≤0.046). LIMITATIONS Small sample size; unclear, if similar changes in the same or opposite direction preceded stroke, as the cross-sectional nature of the observation does not allow determining the effect of time course on lipid alterations. CONCLUSION Differential regulation of palmitate, PCs, and PEs in patients with CKD and a history of stroke may represent a previously unrecognized risk factor and might be a target of risk stratification and modification.
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Affiliation(s)
- Farsad Afshinnia
- University of Michigan, Department of Internal Medicine-Nephrology, Ann Arbor, MI
| | - Adil Jadoon
- University of Michigan, Department of Internal Medicine-Nephrology, Ann Arbor, MI
| | - Thekkelnaycke M. Rajendiran
- University of Michigan, Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI,University of Michigan, Department of Pathology, Ann Arbor, MI
| | - Tanu Soni
- University of Michigan, Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI
| | - Jaeman Byun
- University of Michigan, Department of Internal Medicine-Nephrology, Ann Arbor, MI
| | | | - Subramaniam Pennathur
- University of Michigan, Department of Internal Medicine-Nephrology, Ann Arbor, MI,University of Michigan, Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI,University of Michigan, Department of Molecular and Integrative Physiology, Ann Arbor, MI
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Application of Differential Network Enrichment Analysis for Deciphering Metabolic Alterations. Metabolites 2020; 10:metabo10120479. [PMID: 33255384 PMCID: PMC7761243 DOI: 10.3390/metabo10120479] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/11/2020] [Accepted: 11/17/2020] [Indexed: 12/14/2022] Open
Abstract
Modern analytical methods allow for the simultaneous detection of hundreds of metabolites, generating increasingly large and complex data sets. The analysis of metabolomics data is a multi-step process that involves data processing and normalization, followed by statistical analysis. One of the biggest challenges in metabolomics is linking alterations in metabolite levels to specific biological processes that are disrupted, contributing to the development of disease or reflecting the disease state. A common approach to accomplishing this goal involves pathway mapping and enrichment analysis, which assesses the relative importance of predefined metabolic pathways or other biological categories. However, traditional knowledge-based enrichment analysis has limitations when it comes to the analysis of metabolomics and lipidomics data. We present a Java-based, user-friendly bioinformatics tool named Filigree that provides a primarily data-driven alternative to the existing knowledge-based enrichment analysis methods. Filigree is based on our previously published differential network enrichment analysis (DNEA) methodology. To demonstrate the utility of the tool, we applied it to previously published studies analyzing the metabolome in the context of metabolic disorders (type 1 and 2 diabetes) and the maternal and infant lipidome during pregnancy.
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Xu T, Hu C, Xuan Q, Xu G. Recent advances in analytical strategies for mass spectrometry-based lipidomics. Anal Chim Acta 2020; 1137:156-169. [PMID: 33153599 PMCID: PMC7525665 DOI: 10.1016/j.aca.2020.09.060] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/25/2020] [Accepted: 09/28/2020] [Indexed: 12/20/2022]
Abstract
Lipids are vital biological molecules and play multiple roles in cellular function of mammalian organisms such as cellular membrane anchoring, signal transduction, material trafficking and energy storage. Driven by the biological significance of lipids, lipidomics has become an emerging science in the field of omics. Lipidome in biological systems consists of hundreds of thousands of individual lipid molecules that possess complex structures, multiple categories, and diverse physicochemical properties assembled by different combinations of polar headgroups and hydrophobic fatty acyl chains. Such structural complexity poses a huge challenge for comprehensive lipidome analysis. Thanks to the great innovations in chromatographic separation techniques and the continuous advances in mass spectrometric detection tools, analytical strategies for lipidomics have been highly diversified so that the depth and breadth of lipidomics have been greatly enhanced. This review will present the current state of mass spectrometry-based analytical strategies including untargeted, targeted and pseudotargeted lipidomics. Recent typical applications of lipidomics in biomarker discovery, pathogenic mechanism and therapeutic strategy are summarized, and the challenges facing to the field of lipidomics are also discussed.
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Affiliation(s)
- Tianrun Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chunxiu Hu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiuhui Xuan
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
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Eddy S, Mariani LH, Kretzler M. Integrated multi-omics approaches to improve classification of chronic kidney disease. Nat Rev Nephrol 2020; 16:657-668. [PMID: 32424281 DOI: 10.1038/s41581-020-0286-5] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/07/2020] [Indexed: 12/11/2022]
Abstract
Chronic kidney diseases (CKDs) are currently classified according to their clinical features, associated comorbidities and pattern of injury on biopsy. Even within a given classification, considerable variation exists in disease presentation, progression and response to therapy, highlighting heterogeneity in the underlying biological mechanisms. As a result, patients and clinicians experience uncertainty when considering optimal treatment approaches and risk projection. Technological advances now enable large-scale datasets, including DNA and RNA sequence data, proteomics and metabolomics data, to be captured from individuals and groups of patients along the genotype-phenotype continuum of CKD. The ability to combine these high-dimensional datasets, in which the number of variables exceeds the number of clinical outcome observations, using computational approaches such as machine learning, provides an opportunity to re-classify patients into molecularly defined subgroups that better reflect underlying disease mechanisms. Patients with CKD are uniquely poised to benefit from these integrative, multi-omics approaches since the kidney biopsy, blood and urine samples used to generate these different types of molecular data are frequently obtained during routine clinical care. The ultimate goal of developing an integrated molecular classification is to improve diagnostic classification, risk stratification and assignment of molecular, disease-specific therapies to improve the care of patients with CKD.
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Affiliation(s)
- Sean Eddy
- Division of Nephrology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
| | - Laura H Mariani
- Division of Nephrology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
| | - Matthias Kretzler
- Division of Nephrology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA.
- Department of Computational Medicine and Bioinformatics, Michigan Medicine, Ann Arbor, MI, USA.
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Limonte CP, Valo E, Montemayor D, Afshinnia F, Ahluwalia TS, Costacou T, Darshi M, Forsblom C, Hoofnagle AN, Groop PH, Miller RG, Orchard TJ, Pennathur S, Rossing P, Sandholm N, Snell-Bergeon JK, Ye H, Zhang J, Natarajan L, de Boer IH, Sharma K. A Targeted Multiomics Approach to Identify Biomarkers Associated with Rapid eGFR Decline in Type 1 Diabetes. Am J Nephrol 2020; 51:839-848. [PMID: 33053547 PMCID: PMC7606554 DOI: 10.1159/000510830] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 08/11/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND Individuals with type 1 diabetes (T1D) demonstrate varied trajectories of estimated glomerular filtration rate (eGFR) decline. The molecular pathways underlying rapid eGFR decline in T1D are poorly understood, and individual-level risk of rapid eGFR decline is difficult to predict. METHODS We designed a case-control study with multiple exposure measurements nested within 4 well-characterized T1D cohorts (FinnDiane, Steno, EDC, and CACTI) to identify biomarkers associated with rapid eGFR decline. Here, we report the rationale for and design of these studies as well as results of models testing associations of clinical characteristics with rapid eGFR decline in the study population, upon which "omics" studies will be built. Cases (n = 535) and controls (n = 895) were defined as having an annual eGFR decline of ≥3 and <1 mL/min/1.73 m2, respectively. Associations of demographic and clinical variables with rapid eGFR decline were tested using logistic regression, and prediction was evaluated using area under the curve (AUC) statistics. Targeted metabolomics, lipidomics, and proteomics are being performed using high-resolution mass-spectrometry techniques. RESULTS At baseline, the mean age was 43 years, diabetes duration was 27 years, eGFR was 94 mL/min/1.73 m2, and 62% of participants were normoalbuminuric. Over 7.6-year median follow-up, the mean annual change in eGFR in cases and controls was -5.7 and 0.6 mL/min/1.73 m2, respectively. Younger age, longer diabetes duration, and higher baseline HbA1c, urine albumin-creatinine ratio, and eGFR were significantly associated with rapid eGFR decline. The cross-validated AUC for the predictive model incorporating these variables plus sex and mean arterial blood pressure was 0.74 (95% CI: 0.68-0.79; p < 0.001). CONCLUSION Known risk factors provide moderate discrimination of rapid eGFR decline. Identification of blood and urine biomarkers associated with rapid eGFR decline in T1D using targeted omics strategies may provide insight into disease mechanisms and improve upon clinical predictive models using traditional risk factors.
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Affiliation(s)
- Christine P Limonte
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA,
- Kidney Research Institute, University of Washington, Seattle, Washington, USA,
| | - Erkka Valo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Daniel Montemayor
- Division of Nephrology, UT Health Science Center San Antonio, San Antonio, Texas, USA
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Farsad Afshinnia
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, Michigan, USA
| | - Tarunveer S Ahluwalia
- Steno Diabetes Center Copenhagen, Copenhagen, Denmark
- The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Tina Costacou
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Manjula Darshi
- Division of Nephrology, UT Health Science Center San Antonio, San Antonio, Texas, USA
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Carol Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Andrew N Hoofnagle
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Laboratory Medicine, University of Washington, Seattle, Washington, USA
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Rachel G Miller
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Trevor J Orchard
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Subramaniam Pennathur
- Departments of Medicine-Nephrology and Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Janet K Snell-Bergeon
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Hongping Ye
- Division of Nephrology, UT Health Science Center San Antonio, San Antonio, Texas, USA
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Jing Zhang
- Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health and UC San Diego Moores Comprehensive Cancer Center, La Jolla, California, USA
| | - Loki Natarajan
- Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health and UC San Diego Moores Comprehensive Cancer Center, La Jolla, California, USA
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington, USA
- Kidney Research Institute, University of Washington, Seattle, Washington, USA
- Puget Sound VA Healthcare System, Seattle, Washington, USA
| | - Kumar Sharma
- Division of Nephrology, UT Health Science Center San Antonio, San Antonio, Texas, USA
- Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health San Antonio, San Antonio, Texas, USA
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Oki K, Arias EB, Kanzaki M, Cartee GD. Effects of Acute Exercise Combined With Calorie Restriction Initiated Late-in-Life on Insulin Signaling, Lipids, and Glucose Uptake in Skeletal Muscle From Old Rats. J Gerontol A Biol Sci Med Sci 2020; 75:207-217. [PMID: 30272137 DOI: 10.1093/gerona/gly222] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 09/27/2018] [Indexed: 12/26/2022] Open
Abstract
We evaluated effects of calorie restriction (CR: consuming 60-65% of ad libitum [AL] intake) initiated late-in-life with or without acute exercise on insulin-stimulated glucose uptake (ISGU) of skeletal muscle by studying four groups of 26-month-old rats: sedentary-AL, sedentary-CR (8-week duration), 3 hours post-exercise (3hPEX)-AL and 3hPEX-CR. ISGU was determined in isolated epitrochlearis muscles incubated ± insulin. Muscles were assessed for signaling proteins (immunoblotting) and lipids (mass spectrometry). ISGU from sedentary-CR and 3hPEX-AL exceeded sedentary-AL; 3hPEX-CR exceeded all other groups. Akt (Ser473, Thr308) and Akt substrate of 160 kDa (AS160; Ser588, Thr642, Ser704) phosphorylation levels tracked with ISGU. Among the 477 lipids detected, 114 were altered by CR (including reductions in 15 of 25 acylcarnitines), and 27 were altered by exercise (including reductions in 18 of 22 lysophosphatidylcholines) with only six lipids overlapping between CR and exercise. ISGU significantly correlated with 23 lipids, including: acylcarnitine 20:1 (r = .683), lysophosphatidylethanolamine19:0 (r = -.662), acylcarnitine 24:0 (r = .611), and plasmenyl-phosphatidylethanolamine 37:5 (r = -.603). Muscle levels of ceramides (a lipid class previously linked to insulin resistance) were not altered by CR and/or exercise nor significantly correlated with ISGU, implicating other mechanisms (which potentially involve other lipids identified in this study) for greater ISGU and Akt and AS160 phosphorylation with these interventions.
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Affiliation(s)
- Kentaro Oki
- School of Kinesiology, University of Michigan, Ann Arbor
| | - Edward B Arias
- School of Kinesiology, University of Michigan, Ann Arbor
| | - Makoto Kanzaki
- Graduate School of Biomedical Engineering, Tohoku University, Sendai, Japan
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LaBarre JL, Puttabyatappa M, Song PXK, Goodrich JM, Zhou L, Rajendiran TM, Soni T, Domino SE, Treadwell MC, Dolinoy DC, Padmanabhan V, Burant CF. Maternal lipid levels across pregnancy impact the umbilical cord blood lipidome and infant birth weight. Sci Rep 2020; 10:14209. [PMID: 32848180 PMCID: PMC7449968 DOI: 10.1038/s41598-020-71081-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 07/20/2020] [Indexed: 12/14/2022] Open
Abstract
Major alterations in metabolism occur during pregnancy enabling the mother to provide adequate nutrients to support infant development, affecting birth weight (BW) and potentially long-term risk of obesity and cardiometabolic disease. We classified dynamic changes in the maternal lipidome during pregnancy and identified lipids associated with Fenton BW z-score and the umbilical cord blood (CB) lipidome. Lipidomics was performed on first trimester maternal plasma (M1), delivery maternal plasma (M3), and CB plasma in 106 mother-infant dyads. Shifts in the maternal and CB lipidome were consistent with the selective transport of long-chain polyunsaturated fatty acids (PUFA) as well as lysophosphatidylcholine (LysoPC) and lysophosphatidylethanolamine (LysoPE) species into CB. Partial correlation networks demonstrated fluctuations in correlations between lipid groups at M1, M3, and CB, signifying differences in lipid metabolism. Using linear models, LysoPC and LysoPE groups in CB were positively associated with BW. M1 PUFA containing triglycerides (TG) and phospholipids were correlated with CB LysoPC and LysoPE species and total CB polyunsaturated TGs. These results indicate that early gestational maternal lipid levels influence the CB lipidome and its relationship with BW, suggesting an opportunity to modulate maternal diet and improve long-term offspring cardiometabolic health.
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Affiliation(s)
- Jennifer L LaBarre
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | - Peter X K Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jaclyn M Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Ling Zhou
- Center of Statistical Research, Southwestern University of Finance and Economics, Chengdu, Sichuan, China
| | - Thekkelnaycke M Rajendiran
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA.,Department of Pathology, Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA
| | - Tanu Soni
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA
| | - Steven E Domino
- Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Marjorie C Treadwell
- Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Dana C Dolinoy
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Vasantha Padmanabhan
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA.,Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Charles F Burant
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA. .,Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
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Omics research in diabetic kidney disease: new biomarker dimensions and new understandings? J Nephrol 2020; 33:931-948. [DOI: 10.1007/s40620-020-00759-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 05/23/2020] [Indexed: 12/14/2022]
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Afshinnia F, Zeng L, Byun J, Wernisch S, Deo R, Chen J, Hamm L, Miller ER, Rhee EP, Fischer MJ, Sharma K, Feldman HI, Michailidis G, Pennathur S. Elevated lipoxygenase and cytochrome P450 products predict progression of chronic kidney disease. Nephrol Dial Transplant 2020; 35:303-312. [PMID: 30137494 PMCID: PMC7391277 DOI: 10.1093/ndt/gfy232] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 06/14/2018] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND The clinical relevance of arachidonic acid (AA) metabolites in chronic kidney disease (CKD) progression is poorly understood. We aimed to compare the concentrations of 85 enzymatic pathway products of AA metabolism in patients with CKD who progressed to end-stage kidney disease (ESKD) versus patients who did not in a subcohort of Chronic Renal Insufficiency Cohort (CRIC) and to estimate the risk of CKD progression and major cardiovascular events by levels of AA metabolites and their link to enzymatic metabolic pathways. METHODS A total 123 patients in the CRIC study who progressed to ESKD were frequency matched with 177 nonprogressors and serum eicosanoids were quantified by mass spectrometry. We applied serum collected at patients' Year 1 visit and outcome of progression to ESKD was ascertained over the next 10 years. We used logistic regression models for risk estimation. RESULTS Baseline 15-hydroxyeicosatetraenoate (HETE) and 20-HETE levels were significantly elevated in progressors (false discovery rate Q ≤ 0.026). The median 20-HETE level was 7.6 pmol/mL [interquartile range (IQR) 4.2-14.5] in progressors and 5.4 pmol/mL (IQR 2.8-9.4) in nonprogressors (P < 0.001). In an adjusted model, only 20-HETE independently predicted CKD progression. Each 1 standard deviation increase in 20-HETE was independently associated with 1.45-fold higher odds of progression (95% confidence interval 1.07-1.95; P = 0.017). Principal components of lipoxygenase (LOX) and cytochrome P450 (CYP450) pathways were independently associated with CKD progression. CONCLUSIONS We found higher odds of CKD progression associated with higher 20-HETE, LOX and CYP450 metabolic pathways. These alterations precede CKD progression and may serve as targets for interventions aimed at halting progression.
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Affiliation(s)
- Farsad Afshinnia
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Lixia Zeng
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Jaeman Byun
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Stefanie Wernisch
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Rajat Deo
- Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jing Chen
- Division of Nephrology and Hypertension, Tulane University, New Orleans, LA, USA
| | - Lee Hamm
- Division of Nephrology and Hypertension, Tulane University, New Orleans, LA, USA
| | - Edgar R Miller
- Department of Internal Medicine, Jones Hopkins University, Baltimore, MD, USA
| | - Eugene P Rhee
- Department of Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Michael J Fischer
- Department of Medicine, University of Illinois, Center of Innovation for Complex Chronic Healthcare, Jesse Brown VAMC, Chicago, IL, USA
| | - Kumar Sharma
- Department of Internal Medicine-Nephrology, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Harold I Feldman
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Subramaniam Pennathur
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, USA
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
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Hou B, Zhao Y, He P, Xu C, Ma P, Lam SM, Li B, Gil V, Shui G, Qiang G, Liew CW, Du G. Targeted lipidomics and transcriptomics profiling reveal the heterogeneity of visceral and subcutaneous white adipose tissue. Life Sci 2020; 245:117352. [PMID: 32006527 DOI: 10.1016/j.lfs.2020.117352] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Revised: 01/14/2020] [Accepted: 01/22/2020] [Indexed: 01/04/2023]
Abstract
AIMS The depot-specific differences in lipidome of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) reflect heterogeneity of white adipose tissue (WAT), which plays a central role in its distinct response to outside stimuli. However, the detailed lipidome of depot-specific WAT is largely unknown, especially the minor constitutes including phospholipid and sphingolipid. MATERIALS AND METHODS To investigate this field, we applied a high-coverage targeted lipidomics approach of VAT and SAT in male C57BL/6J mice to compare the basal level of their lipid profiles. Applying microarray and quantitative real-time polymerase chain reaction, we analyzed the transcriptome of twodepot-specific WAT and verified the differences in individual genes. KEY FINDINGS In total, 342 lipid species from 19 lipid classes were identified. Our results showed the composition of TAG and FFA were different in length of chain and saturation. Interestingly, low abundance phospholipid, sphingolipid and cardiolipin were significantly higher in SAT. Lipid correlation network analysis vindicated that TAG and phospholipid formed distinct subnet and had more connections with other lipid species. Enriched ontology analysis of gene screened from LIPID MAPS and microarray suggested the differences were mainly involved in lipid metabolism, insulin resistance and inflammatory response. SIGNIFICANCE Our comprehensive lipidomics and transcriptomics analyses revealed differences in lipid composition and lipid metabolism of two depot-specific WAT, which would offer new insights into the investigation of heterogeneity of visceral and subcutaneous white adipose tissue.
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Affiliation(s)
- Biyu Hou
- State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing 100050, China
| | - Yan Zhao
- Qingdao Municipal Hospital, Qingdao 266011, China
| | - Ping He
- State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing 100050, China
| | - Chunyang Xu
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100026, China
| | - Peng Ma
- State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing 100050, China
| | - Sin Man Lam
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Bowen Li
- LipidALL Technologies Ltd., Changzhou, China
| | - Victoria Gil
- Department of Physiology and Biophysics, College of Medicine, University of Illinois at Chicago, Chicago, 60612, IL, USA
| | - Guanghou Shui
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Guifen Qiang
- State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing 100050, China.
| | - Chong Wee Liew
- Department of Physiology and Biophysics, College of Medicine, University of Illinois at Chicago, Chicago, 60612, IL, USA.
| | - Guanhua Du
- State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening Research, Beijing 100050, China.
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Wu Z, Bagarolo GI, Thoröe-Boveleth S, Jankowski J. "Lipidomics": Mass spectrometric and chemometric analyses of lipids. Adv Drug Deliv Rev 2020; 159:294-307. [PMID: 32553782 DOI: 10.1016/j.addr.2020.06.009] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/03/2020] [Accepted: 06/06/2020] [Indexed: 01/01/2023]
Abstract
Lipids are ubiquitous in the human organism and play essential roles as components of cell membranes and hormones, for energy storage or as mediators of cell signaling pathways. As crucial mediators of the human metabolism, lipids are also involved in metabolic diseases, cardiovascular and renal diseases, cancer and/or hepatological and neurological disorders. With rapidly growing evidence supporting the impact of lipids on both the genesis and progression of these diseases as well as patient wellbeing, the characterization of the human lipidome has gained high interest and importance in life sciences and clinical diagnostics within the last 15 years. This is mostly due to technically advanced molecular identification and quantification methods, mainly based on mass spectrometry. Mass spectrometry has become one of the most powerful tools for the identification of lipids. New lipidic mediators or biomarkers of diseases can be analysed by state-of-the art mass spectrometry techniques supported by sophisticated bioinformatics and biostatistics. The lipidomic approach has developed dramatically in the realm of life sciences and clinical diagnostics due to the available mass spectrometric methods and in particular due to the adaptation of biostatistical methods in recent years. Therefore, the current knowledge of lipid extraction methods, mass-spectrometric approaches, biostatistical data analysis, including workflows for the interpretation of lipidomic high-throughput data, are reviewed in this manuscript.
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Affiliation(s)
- Zhuojun Wu
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Giulia Ilaria Bagarolo
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Sven Thoröe-Boveleth
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Joachim Jankowski
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, Maastricht, The Netherlands.
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Lipidomic analysis reveals sphingomyelin and phosphatidylcholine species associated with renal impairment and all-cause mortality in type 1 diabetes. Sci Rep 2019; 9:16398. [PMID: 31705008 PMCID: PMC6841673 DOI: 10.1038/s41598-019-52916-w] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 10/24/2019] [Indexed: 12/11/2022] Open
Abstract
There is an urgent need for a better molecular understanding of the pathophysiology underlying development and progression of diabetic nephropathy. The aim of the current study was to identify novel associations between serum lipidomics and diabetic nephropathy. Non-targeted serum lipidomic analyses were performed with mass spectrometry in 669 individuals with type 1 diabetes. Cross-sectional associations of lipid species with estimated glomerular filtration rate (eGFR) and urinary albumin excretion were assessed. Moreover, associations with register-based longitudinal follow-up for progression to a combined renal endpoint including ≥30% decline in eGFR, ESRD and all-cause mortality were evaluated. Median follow-up time was 5.0–6.4 years. Adjustments included traditional risk factors and multiple testing correction. In total, 106 lipid species were identified. Primarily, alkyl-acyl phosphatidylcholines, triglycerides and sphingomyelins demonstrated cross-sectional associations with eGFR and macroalbuminuria. In longitudinal analyses, thirteen lipid species were associated with the slope of eGFR or albuminuria. Of these lipids, phosphatidylcholine and sphingomyelin species, PC(O-34:2), PC(O-34:3), SM(d18:1/24:0), SM(d40:1) and SM(d41:1), were associated with lower risk of the combined renal endpoint. PC(O-34:3), SM(d40:1) and SM(d41:1) were associated with lower risk of all-cause mortality while an SM(d18:1/24:0) was associated with lower risk of albuminuria group progression. We report distinct associations between lipid species and risk of renal outcomes in type 1 diabetes, independent of traditional markers of kidney function.
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Afshinnia F, Nair V, Lin J, Rajendiran TM, Soni T, Byun J, Sharma K, Fort PE, Gardner TW, Looker HC, Nelson RG, Brosius FC, Feldman EL, Michailidis G, Kretzler M, Pennathur S. Increased lipogenesis and impaired β-oxidation predict type 2 diabetic kidney disease progression in American Indians. JCI Insight 2019; 4:130317. [PMID: 31573977 PMCID: PMC6948762 DOI: 10.1172/jci.insight.130317] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 09/25/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUNDIn this study, we identified the lipidomic predictors of early type 2 diabetic kidney disease (DKD) progression, which are currently undefined.METHODSThis longitudinal study included 92 American Indians with type 2 diabetes. Serum lipids (406 from 18 classes) were quantified using mass spectrometry from baseline samples when iothalamate-based glomerular filtration rate (GFR) was at least 90 mL/min. Affymetrix GeneChip Array was used to measure renal transcript expression. DKD progression was defined as at least 40% decline in GFR during follow-up.RESULTSParticipants had a mean age of 45 ± 9 years and median urine albumin/creatinine ratio of 43 (interquartile range 11-144). The 32 progressors had significantly higher relative abundance of polyunsaturated triacylglycerols (TAGs) and a lower abundance of C16-C20 acylcarnitines (ACs) (P < 0.001). In a Cox regression model, the main effect terms of unsaturated free fatty acids and phosphatidylethanolamines and the interaction terms of C16-C20 ACs and short-low-double-bond TAGs by categories of albuminuria independently predicted DKD progression. Renal expression of acetyl-CoA carboxylase-encoding gene (ACACA) correlated with serum diacylglycerols in the glomerular compartment (r = 0.36, and P = 0.006) and with low-double-bond TAGs in the tubulointerstitial compartment (r = 0.52, and P < 0.001).CONCLUSIONCollectively, the findings reveal a previously unrecognized link between lipid markers of impaired mitochondrial β-oxidation and enhanced lipogenesis and DKD progression in individuals with preserved GFR. Renal acetyl-CoA carboxylase activation accompanies these lipidomic changes and suggests that it may be the underlying mechanism linking lipid abnormalities to DKD progression.TRIAL REGISTRATIONClinicalTrials.gov, NCT00340678.FUNDINGNIH R24DK082841, K08DK106523, R03DK121941, P30DK089503, P30DK081943, and P30DK020572.
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Affiliation(s)
- Farsad Afshinnia
- Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Viji Nair
- Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Jiahe Lin
- Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Thekkelnaycke M. Rajendiran
- Michigan Regional Comprehensive Metabolomics Resource Core and
- Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Tanu Soni
- Michigan Regional Comprehensive Metabolomics Resource Core and
| | - Jaeman Byun
- Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Kumar Sharma
- Division of Nephrology, Department of Internal Medicine, University of Texas Health at San Antonio, San Antonio, Texas, USA
| | - Patrice E. Fort
- Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Thomas W. Gardner
- Department of Ophthalmology and Visual Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Helen C. Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA
| | - Robert G. Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA
| | - Frank C. Brosius
- Division of Nephrology, Department of Medicine, University of Arizona College of Medicine, Tuscan, Arizona, USA
| | - Eva L. Feldman
- Department of Neurology, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - George Michailidis
- Department of Statistics and
- Informatics Institute, University of Florida, Gainesville, Florida, USA
| | - Matthias Kretzler
- Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Michigan Regional Comprehensive Metabolomics Resource Core and
- Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, Michigan, USA
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Ma J, Karnovsky A, Afshinnia F, Wigginton J, Rader DJ, Natarajan L, Sharma K, Porter AC, Rahman M, He J, Hamm L, Shafi T, Gipson D, Gadegbeku C, Feldman H, Michailidis G, Pennathur S. Differential network enrichment analysis reveals novel lipid pathways in chronic kidney disease. Bioinformatics 2019; 35:3441-3452. [PMID: 30887029 PMCID: PMC6748777 DOI: 10.1093/bioinformatics/btz114] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 01/31/2019] [Accepted: 02/12/2019] [Indexed: 12/28/2022] Open
Abstract
MOTIVATION Functional enrichment testing methods can reduce data comprising hundreds of altered biomolecules to smaller sets of altered biological 'concepts' that help generate testable hypotheses. This study leveraged differential network enrichment analysis methodology to identify and validate lipid subnetworks that potentially differentiate chronic kidney disease (CKD) by severity or progression. RESULTS We built a partial correlation interaction network, identified highly connected network components, applied network-based gene-set analysis to identify differentially enriched subnetworks, and compared the subnetworks in patients with early-stage versus late-stage CKD. We identified two subnetworks 'triacylglycerols' and 'cardiolipins-phosphatidylethanolamines (CL-PE)' characterized by lower connectivity, and a higher abundance of longer polyunsaturated triacylglycerols in patients with severe CKD (stage ≥4) from the Clinical Phenotyping Resource and Biobank Core. These finding were replicated in an independent cohort, the Chronic Renal Insufficiency Cohort. Using an innovative method for elucidating biological alterations in lipid networks, we demonstrated alterations in triacylglycerols and cardiolipins-phosphatidylethanolamines that precede the clinical outcome of end-stage kidney disease by several years. AVAILABILITY AND IMPLEMENTATION A complete list of NetGSA results in HTML format can be found at http://metscape.ncibi.org/netgsa/12345-022118/cric_cprobe/022118/results_cric_cprobe/main.html. The DNEA is freely available at https://github.com/wiggie/DNEA. Java wrapper leveraging the cytoscape.js framework is available at http://js.cytoscape.org. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Jing Ma
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Alla Karnovsky
- Department of Computational Medicine & Bioinformatics, Ann Arbor, MI, USA
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA
| | - Farsad Afshinnia
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Janis Wigginton
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA
| | - Daniel J Rader
- Department of Medicine, Translational-Clinical Research, University of Pennsylvania, Philadelphia, PA, USA
| | - Loki Natarajan
- Department of Family Medicine and Public Health, University of California at San Diego, San Diego, CA, USA
| | - Kumar Sharma
- Department of Internal Medicine, University of Texas Health at San Antonio, San Antonio, TX, USA
| | - Anna C Porter
- Department of Internal Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Mahboob Rahman
- Department of Internal Medicine, Case-Western Reserve University, Cleveland, OH, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Medicine, Tulane University, New Orleans, LA, USA
| | - Lee Hamm
- School of Medicine, Division of Nephrology and Hypertension, Tulane University, New Orleans, LA, USA
| | - Tariq Shafi
- Department of Internal Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Debbie Gipson
- Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - Crystal Gadegbeku
- Department of Internal Medicine, Temple University, Philadelphia, PA, USA
| | - Harold Feldman
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA
| | - George Michailidis
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA
- Department of Statistics and the Informatics Institute, University of Florida, Gainesville, FL, USA
| | - Subramaniam Pennathur
- Michigan Regional Comprehensive Metabolomics Resource Core, Ann Arbor, MI, USA
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
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Wernisch S, Pennathur S. Application of differential mobility-mass spectrometry for untargeted human plasma metabolomic analysis. Anal Bioanal Chem 2019; 411:6297-6308. [PMID: 30941479 PMCID: PMC6721987 DOI: 10.1007/s00216-019-01719-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 02/04/2019] [Accepted: 02/26/2019] [Indexed: 12/22/2022]
Abstract
Differential mobility spectrometry (DMS) has been gaining popularity in small molecule analysis over the last few years due to its selectivity towards a variety of isomeric compounds. While DMS has been utilized in targeted liquid chromatography-mass spectrometry (LC-MS), its use in untargeted discovery workflows has not been systematically explored. In this contribution, we propose a novel workflow for untargeted metabolomics based solely on DMS separation in a clinically relevant chronic kidney disease (CKD) patient population. We analyzed ten plasma samples from early- and late-stage CKD patients. Peak finding, alignment, and filtering steps performed on the DMS-MS data yielded a list of 881 metabolic features (unique mass-to-charge and migration time combinations). Differential analysis by CKD patient group revealed three main features of interest. One of them was putatively identified as bilirubin based on high-accuracy MS data and comparison of its optimum compensation voltage (COV) with that of an authentic standard. The DMS-MS analysis was four times faster than a typical HPLC-MS run, which suggests a potential for the utilization of this technique in screening studies. However, its lower separation efficiency and reduced signal intensity make it less suitable for low-abundant features. Fewer features were detected by the DMS-based platform compared with an HPLC-MS-based approach, but importantly, the two approaches resulted in different features. This indicates a high degree of orthogonality between HPLC- and DMS-based approaches and demonstrates the need for larger studies comparing the two techniques. The workflow described here can be adapted for other areas of metabolomics and has a value as a prescreening method to develop semi-targeted workflows and as a faster alternative to HPLC in large biomedical studies.
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Affiliation(s)
- Stefanie Wernisch
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, 48105, USA
| | - Subramaniam Pennathur
- Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, 48105, USA.
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, 48105, USA.
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50
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Eid S, Sas KM, Abcouwer SF, Feldman EL, Gardner TW, Pennathur S, Fort PE. New insights into the mechanisms of diabetic complications: role of lipids and lipid metabolism. Diabetologia 2019; 62:1539-1549. [PMID: 31346658 PMCID: PMC6679814 DOI: 10.1007/s00125-019-4959-1] [Citation(s) in RCA: 226] [Impact Index Per Article: 45.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 05/21/2019] [Indexed: 02/07/2023]
Abstract
Diabetes adversely affects multiple organs, including the kidney, eye and nerve, leading to diabetic kidney disease, diabetic retinopathy and diabetic neuropathy, respectively. In both type 1 and type 2 diabetes, tissue damage is organ specific and is secondary to a combination of multiple metabolic insults. Hyperglycaemia, dyslipidaemia and hypertension combine with the duration and type of diabetes to define the distinct pathophysiology underlying diabetic kidney disease, diabetic retinopathy and diabetic neuropathy. Only recently have the commonalities and differences in the metabolic basis of these tissue-specific complications, particularly those involving local and systemic lipids, been systematically examined. This review focuses on recent progress made using preclinical models and human-based approaches towards understanding how bioenergetics and metabolomic profiles contribute to diabetic kidney disease, diabetic retinopathy and diabetic neuropathy. This new understanding of the biology of complication-prone tissues highlights the need for organ-specific interventions in the treatment of diabetic complications.
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Affiliation(s)
- Stephanie Eid
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Kelli M Sas
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Steven F Abcouwer
- Department of Ophthalmology and Visual Sciences, University of Michigan Kellogg Eye Center, 1000 Wall Street, Ann Arbor, MI, 48105, USA
| | - Eva L Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Thomas W Gardner
- Department of Ophthalmology and Visual Sciences, University of Michigan Kellogg Eye Center, 1000 Wall Street, Ann Arbor, MI, 48105, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Patrice E Fort
- Department of Ophthalmology and Visual Sciences, University of Michigan Kellogg Eye Center, 1000 Wall Street, Ann Arbor, MI, 48105, USA.
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.
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