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Zhang T, Cui Y, Jiang S, Jiang L, Song L, Huang L, Li Y, Yao J, Li M. Shared genetic correlations between kidney diseases and sepsis. Front Endocrinol (Lausanne) 2024; 15:1396041. [PMID: 39086896 PMCID: PMC11288879 DOI: 10.3389/fendo.2024.1396041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 07/02/2024] [Indexed: 08/02/2024] Open
Abstract
Background Clinical studies have indicated a comorbidity between sepsis and kidney diseases. Individuals with specific mutations that predispose them to kidney conditions are also at an elevated risk for developing sepsis, and vice versa. This suggests a potential shared genetic etiology that has not been fully elucidated. Methods Summary statistics data on exposure and outcomes were obtained from genome-wide association meta-analysis studies. We utilized these data to assess genetic correlations, employing a pleiotropy analysis method under the composite null hypothesis to identify pleiotropic loci. After mapping the loci to their corresponding genes, we conducted pathway analysis using Generalized Gene-Set Analysis of GWAS Data (MAGMA). Additionally, we utilized MAGMA gene-test and eQTL information (whole blood tissue) for further determination of gene involvement. Further investigation involved stratified LD score regression, using diverse immune cell data, to study the enrichment of SNP heritability in kidney-related diseases and sepsis. Furthermore, we employed Mendelian Randomization (MR) analysis to investigate the causality between kidney diseases and sepsis. Results In our genetic correlation analysis, we identified significant correlations among BUN, creatinine, UACR, serum urate, kidney stones, and sepsis. The PLACO analysis method identified 24 pleiotropic loci, pinpointing a total of 28 nearby genes. MAGMA gene-set enrichment analysis revealed a total of 50 pathways, and tissue-specific analysis indicated significant enrichment of five pairs of pleiotropic results in kidney tissue. MAGMA gene test and eQTL information (whole blood tissue) identified 33 and 76 pleiotropic genes, respectively. Notably, genes PPP2R3A for BUN, VAMP8 for UACR, DOCK7 for creatinine, and HIBADH for kidney stones were identified as shared risk genes by all three methods. In a series of immune cell-type-specific enrichment analyses of pleiotropy, we identified a total of 37 immune cells. However, MR analysis did not reveal any causal relationships among them. Conclusions This study lays the groundwork for shared etiological factors between kidney and sepsis. The confirmed pleiotropic loci, shared pathogenic genes, and enriched pathways and immune cells have enhanced our understanding of the multifaceted relationships among these diseases. This provides insights for early disease intervention and effective treatment, paving the way for further research in this field.
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Affiliation(s)
- Tianlong Zhang
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China
| | - Ying Cui
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China
| | - Siyi Jiang
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China
| | - Lu Jiang
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China
| | - Lijun Song
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China
| | - Lei Huang
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China
| | - Yong Li
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China
| | - Jiali Yao
- Department of Critical Care Medicine, Jinhua Hospital Affiliated to Zhejiang University, Jinhua, Zhejiang, China
| | - Min Li
- Department of Critical Care Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China
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Martelli F, Lin J, Mele S, Imlach W, Kanca O, Barlow CK, Paril J, Schittenhelm RB, Christodoulou J, Bellen HJ, Piper MDW, Johnson TK. Identifying potential dietary treatments for inherited metabolic disorders using Drosophila nutrigenomics. Cell Rep 2024; 43:113861. [PMID: 38416643 PMCID: PMC11037929 DOI: 10.1016/j.celrep.2024.113861] [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: 05/16/2023] [Revised: 12/09/2023] [Accepted: 02/08/2024] [Indexed: 03/01/2024] Open
Abstract
Inherited metabolic disorders are a group of genetic conditions that can cause severe neurological impairment and child mortality. Uniquely, these disorders respond to dietary treatment; however, this option remains largely unexplored because of low disorder prevalence and the lack of a suitable paradigm for testing diets. Here, we screened 35 Drosophila amino acid disorder models for disease-diet interactions and found 26 with diet-altered development and/or survival. Using a targeted multi-nutrient array, we examine the interaction in a model of isolated sulfite oxidase deficiency, an infant-lethal disorder. We show that dietary cysteine depletion normalizes their metabolic profile and rescues development, neurophysiology, behavior, and lifelong fly survival, thus providing a basis for further study into the pathogenic mechanisms involved in this disorder. Our work highlights the diet-sensitive nature of metabolic disorders and establishes Drosophila as a valuable tool for nutrigenomic studies for informing potential dietary therapies.
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Affiliation(s)
- Felipe Martelli
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Jiayi Lin
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Sarah Mele
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Wendy Imlach
- Department of Physiology, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Oguz Kanca
- Department of Molecular and Human Genetics and Duncan Neurological Research Institute at Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA
| | - Christopher K Barlow
- Monash Proteomics & Metabolomics Facility, Monash Biomedicine Discovery Institute & Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - Jefferson Paril
- School of BioSciences, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Ralf B Schittenhelm
- Monash Proteomics & Metabolomics Facility, Monash Biomedicine Discovery Institute & Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - John Christodoulou
- Murdoch Children's Research Institute, Parkville, VIC 3052, Australia; Department of Paediatrics, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Hugo J Bellen
- Department of Molecular and Human Genetics and Duncan Neurological Research Institute at Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA
| | - Matthew D W Piper
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia.
| | - Travis K Johnson
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia; Department of Biochemistry and Chemistry and La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC 3086, Australia.
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Xu G, Lv J, Huang M, Zhu L, Tan S, Ding C. Comparison of Pairwise Venous and Fingertip Plasma Using Quantitative Proteomics Based on Data-Independent Acquisition. J Proteome Res 2023; 22:1347-1358. [PMID: 36882937 DOI: 10.1021/acs.jproteome.3c00081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
Blood contains a great deal of health-related information and can be used to monitor human health status. Clinically, venous or fingertip blood is usually used for blood tests. However, the clinical application settings of the two sources of blood are unclear. In this study, the proteomes of pairwise venous plasma (VP) and fingertip plasma (FP) were analyzed, and the levels of 3797 proteins were compared between VP and FP. The Spearman's correlation coefficient for the relationship between protein levels of VP and FP ranges from 0.64 to 0.78 (p < 0.0001). The common pathways of VP and FP are related to cell-cell adhesion, protein stabilization, innate immune response, and complement activation, the classical pathway. The VP-overrepresented pathway is related to actin filament organization, while the FP-overrepresented pathway is related to the hydrogen peroxide catabolic process. ADAMTSL4, ADIPOQ, HIBADH, and XPO5 both in VP and FP are potential gender-related proteins. Notably, the VP proteome has a higher interpretation on age than the FP proteome, and CD14 is a potential age-related protein in VP but not in FP. Our study mapped the different proteomes between VP and FP, which can provide value for the standardization of clinical blood tests.
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Affiliation(s)
- Ganfei Xu
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Jiacheng Lv
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Mingjing Huang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Lingli Zhu
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Subei Tan
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China
| | - Chen Ding
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China.,State Key Laboratory of Cell Differentiation and Regulation, Henan International Joint Laboratory of Pulmonary Fibrosis, Henan Center for Outstanding Overseas Scientists of Pulmonary Fibrosis, College of Life Science, Institute of Biomedical Science, Henan Normal University, Xinxiang 453007, China.,Academy of Medical Science, Zhengzhou University, Zhengzhou 450052, China
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Hu L, Brito LF, Zhang H, Zhao M, Liu H, Chai H, Wang D, Wu H, Cui J, Liu A, Xu Q, Wang Y. Metabolome profiling of plasma reveals different metabolic responses to acute cold challenge between Inner-Mongolia Sanhe and Holstein cattle. J Dairy Sci 2022; 105:9162-9178. [PMID: 36175226 DOI: 10.3168/jds.2022-21996] [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: 02/21/2022] [Accepted: 06/27/2022] [Indexed: 11/19/2022]
Abstract
Low-temperature conditions influence cattle productivity and survivability. Understanding the metabolic regulations of specific cattle breeds and identifying potential biomarkers related to cold challenges are important for cattle management and optimization of genetic improvement programs. In this study, 28 Inner-Mongolia Sanhe and 22 Holstein heifers were exposed to -25°C for 1 h to evaluate the differences in metabolic mechanisms of thermoregulation. In response to this acute cold challenge, altered rectal temperature was only observed in Holstein cattle. Further metabolome analyses showed a greater baseline of glycolytic activity and mobilization of AA in Sanhe cattle during normal conditions. Both breeds responded to the acute cold challenge by altering their metabolism of volatile fatty acids and AA for gluconeogenesis, which resulted in increased glucose levels. Furthermore, Sanhe cattle mobilized the citric acid cycle activity, and creatine and creatine phosphate metabolism to supply energy, whereas Holstein cattle used greater AA metabolism for this purpose. Altogether, we found that propionate and methanol are potential biomarkers of acute cold challenge response in cattle. Our findings provide novel insights into the biological mechanisms of acute cold response and climatic resilience, and will be used as the basis when developing breeding tools for genetically selecting for improved cold adaptation in cattle.
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Affiliation(s)
- Lirong Hu
- Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, National Engineering Laboratory for Animal Breeding, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Haidian District, Beijing, 100193, China; College of Life Sciences and Bioengineering, Beijing Jiaotong University, Haidian District, Beijing, 100044, China; Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907
| | - Hailiang Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, National Engineering Laboratory for Animal Breeding, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Haidian District, Beijing, 100193, China
| | - Man Zhao
- Xiertala Cattle Breeding Farm, Hailaer Farm Buro, Hailaer, Inner Mongolia, 021012, China
| | - Huazhu Liu
- Xiertala Cattle Breeding Farm, Hailaer Farm Buro, Hailaer, Inner Mongolia, 021012, China
| | - He Chai
- Xiertala Cattle Breeding Farm, Hailaer Farm Buro, Hailaer, Inner Mongolia, 021012, China
| | - Dongsheng Wang
- Xiertala Cattle Breeding Farm, Hailaer Farm Buro, Hailaer, Inner Mongolia, 021012, China
| | - Hongjun Wu
- Xiertala Cattle Breeding Farm, Hailaer Farm Buro, Hailaer, Inner Mongolia, 021012, China
| | - Jiuhui Cui
- Xiertala Cattle Breeding Farm, Hailaer Farm Buro, Hailaer, Inner Mongolia, 021012, China
| | - Airong Liu
- Xiertala Cattle Breeding Farm, Hailaer Farm Buro, Hailaer, Inner Mongolia, 021012, China
| | - Qing Xu
- College of Life Sciences and Bioengineering, Beijing Jiaotong University, Haidian District, Beijing, 100044, China.
| | - Yachun Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, National Engineering Laboratory for Animal Breeding, Beijing Engineering Technology Research Center of Raw Milk Quality and Safety Control, College of Animal Science and Technology, China Agricultural University, Haidian District, Beijing, 100193, China.
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Pei J, Zhao S, Yin M, Wu F, Li J, Zhang G, Wu X, Bao P, Xiong L, Song W, Ba Y, Yan P, Song R, Guo X. Differential proteomics of placentas reveals metabolic disturbance and oxidative damage participate yak spontaneous miscarriage during late pregnancy. BMC Vet Res 2022; 18:248. [PMID: 35761325 PMCID: PMC9235108 DOI: 10.1186/s12917-022-03354-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 06/20/2022] [Indexed: 12/03/2022] Open
Abstract
Background High spontaneous miscarriage rate in yak, especially during late pregnancy, have caused a great economic loss to herdsmen living in the Qinghai-Tibet plateau. However, the mechanism underlying spontaneous miscarriage is still poorly understood. In the present study, placenta protein markers were identified to elucidate the pathological reasons for yak spontaneous miscarriage through isobaric tags for relative and absolute quantification (iTRAQ) proteomic technology and bioinformatic approaches. Results Subsequently, a total of 415 differentially expressed proteins (DEPs) were identified between aborted and normal placentas. The up-regulated DEPs in the aborted placentas were significantly associated with “spinocerebellar ataxia”, “sphingolipid signalling”, “relaxin signalling”, “protein export”, “protein digestion and absorption” and “aldosterone synthesis and secretion” pathway. While the down-regulated DEPs in the aborted placentas mainly participated in “valine, leucine and isoleucine degradation”, “PPAR signalling”, “peroxisome”, “oxidative phosphorylation”, “galactose metabolism”, “fatty acid degradation”, “cysteine and methionine metabolism” and “citrate cycle” pathway. Conclusions The results implied that the identified DEPs could be considered as placental protein markers for yak miscarriage during late pregnancy, and biomacromolecule metabolic abnormality and oxidative damage might be responsible for the high spontaneous miscarriage rate in yak. These findings provide an important theoretical basis for deciphering the pathologic mechanism of late spontaneous miscarriage in yak. Supplementary Information The online version contains supplementary material available at 10.1186/s12917-022-03354-w.
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Sasarman F, Ferdinandusse S, Sinasac DS, Fung E, Sparkes R, Reeves M, Rombough C, Sass JO, Voit R, Ruiter JPN, Koster J, Waterham HR, Pasquini E, Donati MA, Marquardt T, Wanders RJA, Al-Hertani W. 3-Hydroxyisobutyric acid dehydrogenase deficiency: Expanding the clinical spectrum and quantitation of D- and L-3-Hydroxyisobutyric acid by an LC-MS/MS method. J Inherit Metab Dis 2022; 45:445-455. [PMID: 35174513 DOI: 10.1002/jimd.12486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 02/11/2022] [Accepted: 02/15/2022] [Indexed: 11/11/2022]
Abstract
A deficiency of 3-hydroxyisobutyric acid dehydrogenase (HIBADH) has been recently identified as a cause of primary 3-hydroxyisobutyric aciduria in two siblings; the only previously recognized primary cause had been a deficiency of methylmalonic semialdehyde dehydrogenase, the enzyme that is immediately downstream of HIBADH in the valine catabolic pathway and is encoded by the ALDH6A1 gene. Here we report on three additional patients from two unrelated families who present with marked and persistent elevations of urine L-3-hydroxyisobutyric acid (L-3HIBA) and a range of clinical findings. Molecular genetic analyses revealed novel, homozygous variants in the HIBADH gene that are private within each family. Evidence for pathogenicity of the identified variants is presented, including enzymatic deficiency of HIBADH in patient fibroblasts. This report describes new variants in HIBADH as an underlying cause of primary 3-hydroxyisobutyric aciduria and expands the clinical spectrum of this recently identified inborn error of valine metabolism. Additionally, we describe a quantitative method for the measurement of D- and L-3HIBA in plasma and urine and present the results of a valine restriction therapy in one of the patients.
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Affiliation(s)
- Florin Sasarman
- Department of Medical Genetics, Cummings School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Biochemical Genetics Laboratory, Alberta Children's Hospital, Calgary, Alberta, Canada
| | - Sacha Ferdinandusse
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, The Netherlands
| | - David S Sinasac
- Department of Medical Genetics, Cummings School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Biochemical Genetics Laboratory, Alberta Children's Hospital, Calgary, Alberta, Canada
| | - Ernest Fung
- Biochemical Genetics Laboratory, Alberta Children's Hospital, Calgary, Alberta, Canada
| | - Rebecca Sparkes
- Department of Medical Genetics, Cummings School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Melanie Reeves
- Nutrition and Food Services, Alberta Children's Hospital, Calgary, Alberta, Canada
| | - Catherine Rombough
- Nutrition and Food Services, Alberta Children's Hospital, Calgary, Alberta, Canada
| | - Jörn Oliver Sass
- Inborn Errors of Metabolism, Department of Natural Sciences, Bonn-Rhein- Sieg University of Applied Sciences, Rheinbach, Germany
- Instititute for Functional Gene Analytics (IFGA), Bonn-Rhein-Sieg University of Applied Sciences, Rheinbach, Germany
| | - Renate Voit
- Inborn Errors of Metabolism, Department of Natural Sciences, Bonn-Rhein- Sieg University of Applied Sciences, Rheinbach, Germany
| | - Jos P N Ruiter
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, The Netherlands
| | - Janet Koster
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, The Netherlands
| | - Hans R Waterham
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, The Netherlands
| | - Elisabetta Pasquini
- Metabolic Unit and Newborn Screening, Department of Neuroscience, Meyer Children's Hospital, Florence, Italy
| | - Maria A Donati
- Metabolic Unit and Newborn Screening, Department of Neuroscience, Meyer Children's Hospital, Florence, Italy
| | - Thorsten Marquardt
- Department of General Pediatrics, University Children's Hospital Münster, Münster, Germany
| | - Ronald J A Wanders
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, The Netherlands
| | - Walla Al-Hertani
- Department of Pediatrics, Harvard Medical School and Boston Children's Hospital, Boston, Massachusetts, USA
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