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Harraz MM. Selective dopaminergic vulnerability in Parkinson's disease: new insights into the role of DAT. Front Neurosci 2023; 17:1219441. [PMID: 37694119 PMCID: PMC10483232 DOI: 10.3389/fnins.2023.1219441] [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: 05/09/2023] [Accepted: 07/31/2023] [Indexed: 09/12/2023] Open
Abstract
One of the hallmarks of Parkinson's disease (PD) is the progressive loss of dopaminergic neurons and associated dopamine depletion. Several mechanisms, previously considered in isolation, have been proposed to contribute to the pathophysiology of dopaminergic degeneration: dopamine oxidation-mediated neurotoxicity, high dopamine transporter (DAT) expression density per neuron, and autophagy-lysosome pathway (ALP) dysfunction. However, the interrelationships among these mechanisms remained unclear. Our recent research bridges this gap, recognizing autophagy as a novel dopamine homeostasis regulator, unifying these concepts. I propose that autophagy modulates dopamine reuptake by selectively degrading DAT. In PD, ALP dysfunction could increase DAT density per neuron, and enhance dopamine reuptake, oxidation, and neurotoxicity, potentially contributing to the progressive loss of dopaminergic neurons. This integrated understanding may provide a more comprehensive view of aspects of PD pathophysiology and opens new avenues for therapeutic interventions.
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Affiliation(s)
- Maged M. Harraz
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Pharmacology, University of Maryland School of Medicine, Baltimore, MD, United States
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2
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Verma R, Aggarwal P, Bischoff ME, Reigle J, Secic D, Wetzel C, VandenHeuvel K, Biesiada J, Ehmer B, Landero Figueroa JA, Plas DR, Medvedovic M, Meller J, Czyzyk-Krzeska MF. Microtubule-associated protein MAP1LC3C regulates lysosomal exocytosis and induces zinc reprogramming in renal cancer cells. J Biol Chem 2023; 299:104663. [PMID: 37003503 PMCID: PMC10173779 DOI: 10.1016/j.jbc.2023.104663] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 03/14/2023] [Accepted: 03/22/2023] [Indexed: 04/03/2023] Open
Abstract
Microtubule-associated protein 1 light chain 3 gamma (MAP1LC3C or LC3C) is a member of the microtubule-associated family of proteins that are essential in the formation of autophagosomes and lysosomal degradation of cargo. LC3C has tumor-suppressing activity, and its expression is dependent on kidney cancer tumor suppressors, such as von Hippel-Lindau protein and folliculin. Recently, we demonstrated that LC3C autophagy is regulated by noncanonical upstream regulatory complexes and targets for degradation postdivision midbody rings associated with cancer cell stemness. Here, we show that loss of LC3C leads to peripheral positioning of the lysosomes and lysosomal exocytosis (LE). This process is independent of the autophagic activity of LC3C. Analysis of isogenic cells with low and high LE shows substantial transcriptomic reprogramming with altered expression of zinc (Zn)-related genes and activity of polycomb repressor complex 2, accompanied by a robust decrease in intracellular Zn. In addition, metabolomic analysis revealed alterations in amino acid steady-state levels. Cells with augmented LE show increased tumor initiation properties and form aggressive tumors in xenograft models. Immunocytochemistry identified high levels of lysosomal-associated membrane protein 1 on the plasma membrane of cancer cells in human clear cell renal cell carcinoma and reduced levels of Zn, suggesting that LE occurs in clear cell renal cell carcinoma, potentially contributing to the loss of Zn. These data indicate that the reprogramming of lysosomal localization and Zn metabolism with implication for epigenetic remodeling in a subpopulation of tumor-propagating cancer cells is an important aspect of tumor-suppressing activity of LC3C.
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Affiliation(s)
- Rita Verma
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Parul Aggarwal
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Megan E Bischoff
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - James Reigle
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Department of Biomedical Informatics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Dina Secic
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Collin Wetzel
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Katherine VandenHeuvel
- Division of Pathology and Laboratory Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Jacek Biesiada
- Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Birgit Ehmer
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Julio A Landero Figueroa
- Department of Chemistry, Agilent Metallomics Center of the Americas, University of Cincinnati College of Arts and Science, Cincinnati, Ohio, USA; Department of Pharmacology and System Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - David R Plas
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Mario Medvedovic
- Department of Biomedical Informatics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Jarek Meller
- Department of Biomedical Informatics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA; Division of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Department of Pharmacology and System Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Department of Electrical Engineering and Computer Science, University of Cincinnati College of Engineering and Applied Sciences, Cincinnati, Ohio, USA
| | - Maria F Czyzyk-Krzeska
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Department of Pharmacology and System Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Department of Veterans Affairss, Veteran Affairs Medical Center, Cincinnati, Ohio, USA.
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3
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Escobar A, Styrpejko DJ, Ali S, Cuajungco MP. Transmembrane 163 (TMEM163) protein interacts with specific mammalian SLC30 zinc efflux transporter family members. Biochem Biophys Rep 2022; 32:101362. [PMID: 36204728 PMCID: PMC9530847 DOI: 10.1016/j.bbrep.2022.101362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/11/2022] [Accepted: 09/26/2022] [Indexed: 11/06/2022] Open
Abstract
Recently, we reported that TMEM163 is a zinc efflux transporter that likely belongs to the mammalian solute carrier 30 (Slc30/ZnT) subfamily of the cation diffusion facilitator (CDF) protein superfamily. We hypothesized that human TMEM163 forms functional heterodimers with certain ZNT proteins based on their overlapping subcellular localization with TMEM163 and previous reports that some ZNT monomers interact with each other. In this study, we heterologously expressed individual constructs with a unique peptide tag containing TMEM163, ZNT1, ZNT2, ZNT3, and ZNT4 (negative control) or co-expressed TMEM163 with each ZNT in cultured cells for co-immunoprecipitation (co-IP) experiments. We also co-expressed TMEM163 with two different peptide tags as a positive co-IP control. Western blot analyses revealed that TMEM163 dimerizes with itself but that it also heterodimerizes with ZNT1, ZNT2, ZNT3, and ZNT4 proteins. Confocal microscopy revealed that TMEM163 and ZNT proteins partially co-localize in cells, suggesting that they exist as homodimers and heterodimers in their respective subcellular sites. Functional zinc flux assays using Fluozin-3 and Newport Green dyes show that TMEM163/ZNT heterodimers exhibit similar efflux function as TMEM163 homodimers. Cell surface biotinylation revealed that the plasma membrane localization of TMEM163 is not markedly influenced by ZNT co-expression. Overall, our results show that the interaction between TMEM163 and distinct ZNT proteins is physiologically relevant and that their heterodimerization may serve to increase the functional diversity of zinc effluxers within specific tissues or cell types. TMEM163 protein heterodimerizes with ZNT1, ZNT2, ZNT3 and ZNT4 zinc efflux transporters. Partial co-localization of TMEM163 and ZNT proteins in cells suggests distinct roles as homodimers and heterodimers. Zinc efflux activity of TMEM163 or ZNT protein homodimers did not differ from their TMEM163/ZNT heterodimer counterparts. TMEM163/ZNT heterodimerization attests to the role of TMEM163 as a bona fide SLC30 protein family member.
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Affiliation(s)
| | | | - Saima Ali
- Department of Biological Science, USA
| | - Math P. Cuajungco
- Department of Biological Science, USA,Center for Applied Biotechnology Studies, California State University Fullerton, CA, 92831, USA,Corresponding author. Department of Biological Science, California State University Fullerton, 800 North State College Blvd, Fullerton, CA, 92831, USA.
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4
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Yao C, Xu R, Li Q, Xiao S, Hu M, Xu L, Zhuang Q. Identification and validation of an immunological microenvironment signature and prediction model for epstein-barr virus positive lymphoma: Implications for immunotherapy. Front Oncol 2022; 12:970544. [PMID: 36249005 PMCID: PMC9559214 DOI: 10.3389/fonc.2022.970544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 09/09/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundEpstein-Barr virus (EBV) is considered a carcinogenic virus, which is associated with high risk for poor prognosis in lymphoma patients, and there has been especially no satisfying and effective treatment for EBV+ lymphoma. We aimed to identify the immunological microenvironment molecular signatures which lead to the poor prognosis of EBV+ lymphoma patients.MethodsDifferential genes were screened with microarray data from the GEO database (GSE38885, GSE34143 and GSE13996). The data of lymphoid neoplasm diffuse large B-cell lymphoma (DLBC) from the TCGA database and GSE4475 were used to identify the prognostic genes. The data of GSE38885, GSE34143, GSE132929, GSE58445 and GSE13996 were used to eluate the immune cell infiltration. Formalin-fixed, paraffin-embedded tissue was collected for Real Time Quantitative PCR from 30 clinical samples, including 15 EBV+ and 15 EBV- lymphoma patients.ResultsFour differential genes between EBV+ and EBV- lymphoma patients were screened out with the significance of the survival and prognosis of lymphoma, including CHIT1, SIGLEC15, PLA2G2D and TMEM163. Using CIBERSORT to evaluate immune cell infiltration, we found the infiltration level of macrophages was significantly different between EBV+ and EBV- groups and was closely related to different genes. Preliminary clinical specimen verification identified that the expression levels of CHIT1 and TMEM163 were different between EBV+ and EBV- groups.ConclusionsOur data suggest that differences in expression levels of CHIT1 and TMEM163 and macrophage infiltration levels may be important drivers of poor prognosis of EBV+ lymphoma patients. These hub genes may provide new insights into the prognosis and therapeutic target for EBV+ lymphoma.
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Affiliation(s)
- Chenjiao Yao
- Department of General medicine, The 3rd Xiangya Hospital, Central South University, Changsha, China
| | - Ruoyao Xu
- Transplantation Center, The 3rd Xiangya Hospital, Central South University, Changsha, China
| | - Qianyuan Li
- Department of General medicine, The 3rd Xiangya Hospital, Central South University, Changsha, China
| | - Sheng Xiao
- Department of Pathology, The 3rd Xiangya Hospital, Central South University, Changsha, China
| | - Min Hu
- Department of Hematology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Linyong Xu
- School of Life Science, Central South University, Changsha, China
| | - Quan Zhuang
- Transplantation Center, The 3rd Xiangya Hospital, Central South University, Changsha, China
- Research Center of National Health Ministry on Transplantation Medicine, Changsha, China
- *Correspondence: Quan Zhuang,
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5
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Gyimesi G, Hediger MA. Systematic in silico discovery of novel solute carrier-like proteins from proteomes. PLoS One 2022; 17:e0271062. [PMID: 35901096 PMCID: PMC9333335 DOI: 10.1371/journal.pone.0271062] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 06/22/2022] [Indexed: 12/26/2022] Open
Abstract
Solute carrier (SLC) proteins represent the largest superfamily of transmembrane transporters. While many of them play key biological roles, their systematic analysis has been hampered by their functional and structural heterogeneity. Based on available nomenclature systems, we hypothesized that many as yet unidentified SLC transporters exist in the human genome, which await further systematic analysis. Here, we present criteria for defining "SLC-likeness" to curate a set of "SLC-like" protein families from the Transporter Classification Database (TCDB) and Protein families (Pfam) databases. Computational sequence similarity searches surprisingly identified ~120 more proteins in human with potential SLC-like properties compared to previous annotations. Interestingly, several of these have documented transport activity in the scientific literature. To complete the overview of the "SLC-ome", we present an algorithm to classify SLC-like proteins into protein families, investigating their known functions and evolutionary relationships to similar proteins from 6 other clinically relevant experimental organisms, and pinpoint structural orphans. We envision that our work will serve as a stepping stone for future studies of the biological function and the identification of the natural substrates of the many under-explored SLC transporters, as well as for the development of new therapeutic applications, including strategies for personalized medicine and drug delivery.
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Affiliation(s)
- Gergely Gyimesi
- Membrane Transport Discovery Lab, Department of Nephrology and Hypertension and Department for BioMedical Research, Inselspital, University of Bern, Bern, Switzerland
- * E-mail: (GG); (MAH)
| | - Matthias A. Hediger
- Membrane Transport Discovery Lab, Department of Nephrology and Hypertension and Department for BioMedical Research, Inselspital, University of Bern, Bern, Switzerland
- * E-mail: (GG); (MAH)
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6
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Natural Killer cells demonstrate distinct eQTL and transcriptome-wide disease associations, highlighting their role in autoimmunity. Nat Commun 2022; 13:4073. [PMID: 35835762 PMCID: PMC9283523 DOI: 10.1038/s41467-022-31626-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 06/24/2022] [Indexed: 12/13/2022] Open
Abstract
Natural Killer cells are innate lymphocytes with central roles in immunosurveillance and are implicated in autoimmune pathogenesis. The degree to which regulatory variants affect Natural Killer cell gene expression is poorly understood. Here we perform expression quantitative trait locus mapping of negatively selected Natural Killer cells from a population of healthy Europeans (n = 245). We find a significant subset of genes demonstrate expression quantitative trait loci specific to Natural Killer cells and these are highly informative of human disease, in particular autoimmunity. A Natural Killer cell transcriptome-wide association study across five common autoimmune diseases identifies further novel associations at 27 genes. In addition to these cis observations, we find novel master-regulatory regions impacting expression of trans gene networks at regions including 19q13.4, the Killer cell Immunoglobulin-like Receptor region, GNLY, MC1R and UVSSA. Our findings provide new insights into the unique biology of Natural Killer cells, demonstrating markedly different expression quantitative trait loci from other immune cells, with implications for disease mechanisms. Natural Killer cells are key mediators of anti-tumour immunosurveillance and anti-viral immunity. Here, the authors map regulatory genetic variation in primary Natural Killer cells, providing new insights into their role in human health and disease.
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7
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Wu Y, Yang L, Zhang L, Zheng X, Xu H, Wang K, Weng X. Identification of a Four-Gene Signature Associated with the Prognosis Prediction of Lung Adenocarcinoma Based on Integrated Bioinformatics Analysis. Genes (Basel) 2022; 13:genes13020238. [PMID: 35205284 PMCID: PMC8872064 DOI: 10.3390/genes13020238] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/03/2021] [Accepted: 11/17/2021] [Indexed: 12/19/2022] Open
Abstract
Lung adenocarcinoma (LUAD) is often diagnosed at an advanced stage, so it is necessary to identify potential biomarkers for the early diagnosis and prognosis of LUAD. In our study, a gene co-expression network was constructed using weighted gene co-expression network analysis (WGCNA) in order to obtain the key modules and genes correlated with LUAD prognosis. Four hub genes (HLF, CHRDL1, SELENBP1, and TMEM163) were screened out using least absolute shrinkage and selection operator (LASSO)–Cox regression analysis; then, a prognostic model was established for predicting overall survival (OS) based on these four hub genes..Furthermore, the prognostic values of this four-gene signature were verified in four validation sets (GSE26939, GSE31210, GSE72094, and TCGA-LUAD) as well as in the GEPIA database. To assess the prognostic values of hub genes, receiver operating characteristic (ROC) curves were constructed and a nomogram was created. We found that a higher expression of four hub genes was associated with a lower risk of patient death. In a training set, it was demonstrated that this four-gene signature was a better prognostic factor than clinical factors such as age and stage of disease. Moreover, our results revealed that these four genes were suppressor factors of LUAD and that their high expression was associated with a lower risk of death. In summary, we demonstrated that this four-gene signature could be a potential prognostic factor for LUAD patients. These findings provide a theoretical basis for exploring potential biomarkers for LUAD prognosis prediction in the future.
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Affiliation(s)
- Yuan Wu
- Department of Respiratory Medicine, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Yiwu 322000, China; (Y.W.); (L.Y.); (L.Z.); (X.Z.); (H.X.)
| | - Lingge Yang
- Department of Respiratory Medicine, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Yiwu 322000, China; (Y.W.); (L.Y.); (L.Z.); (X.Z.); (H.X.)
| | - Long Zhang
- Department of Respiratory Medicine, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Yiwu 322000, China; (Y.W.); (L.Y.); (L.Z.); (X.Z.); (H.X.)
| | - Xinjie Zheng
- Department of Respiratory Medicine, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Yiwu 322000, China; (Y.W.); (L.Y.); (L.Z.); (X.Z.); (H.X.)
| | - Huan Xu
- Department of Respiratory Medicine, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Yiwu 322000, China; (Y.W.); (L.Y.); (L.Z.); (X.Z.); (H.X.)
| | - Kai Wang
- Department of Respiratory Medicine, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Yiwu 322000, China; (Y.W.); (L.Y.); (L.Z.); (X.Z.); (H.X.)
- Correspondence: (K.W.); (X.W.)
| | - Xianwu Weng
- Department of Cardiothoracic Surgery, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Yiwu 322000, China
- Correspondence: (K.W.); (X.W.)
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8
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Li Y, Laws SM, Miles LA, Wiley JS, Huang X, Masters CL, Gu BJ. Genomics of Alzheimer's disease implicates the innate and adaptive immune systems. Cell Mol Life Sci 2021; 78:7397-7426. [PMID: 34708251 PMCID: PMC11073066 DOI: 10.1007/s00018-021-03986-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/14/2021] [Accepted: 10/16/2021] [Indexed: 02/08/2023]
Abstract
Alzheimer's disease (AD) is a chronic neurodegenerative disease characterised by cognitive impairment, behavioural alteration, and functional decline. Over 130 AD-associated susceptibility loci have been identified by genome-wide association studies (GWAS), while whole genome sequencing (WGS) and whole exome sequencing (WES) studies have identified AD-associated rare variants. These variants are enriched in APOE, TREM2, CR1, CD33, CLU, BIN1, CD2AP, PILRA, SCIMP, PICALM, SORL1, SPI1, RIN3, and more genes. Given that aging is the single largest risk factor for late-onset AD (LOAD), the accumulation of somatic mutations in the brain and blood of AD patients have also been explored. Collectively, these genetic findings implicate the role of innate and adaptive immunity in LOAD pathogenesis and suggest that a systemic failure of cell-mediated amyloid-β (Aβ) clearance contributes to AD onset and progression. AD-associated variants are particularly enriched in myeloid-specific regulatory regions, implying that AD risk variants are likely to perturbate the expression of myeloid-specific AD-associated genes to interfere Aβ clearance. Defective phagocytosis, endocytosis, and autophagy may drive Aβ accumulation, which may be related to naturally-occurring antibodies to Aβ (Nabs-Aβ) produced by adaptive responses. Passive immunisation is providing efficiency in clearing Aβ and slowing cognitive decline, such as aducanumab, donanemab, and lecanemab (ban2401). Causation of AD by impairment of the innate immunity and treatment using the tools of adaptive immunity is emerging as a new paradigm for AD, but immunotherapy that boosts the innate immune functions of myeloid cells is highly expected to modulate disease progression at asymptomatic stage.
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Affiliation(s)
- Yihan Li
- The Florey Institute, The University of Melbourne, 30 Royal Parade, Parkville, VIC, 3052, Australia
| | - Simon M Laws
- Centre for Precision Health, Edith Cowan University, 270 Joondalup Dr, Joondalup, WA, 6027, Australia
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Dr, Joondalup, WA, 6027, Australia
| | - Luke A Miles
- The Florey Institute, The University of Melbourne, 30 Royal Parade, Parkville, VIC, 3052, Australia
| | - James S Wiley
- The Florey Institute, The University of Melbourne, 30 Royal Parade, Parkville, VIC, 3052, Australia
| | - Xin Huang
- The Florey Institute, The University of Melbourne, 30 Royal Parade, Parkville, VIC, 3052, Australia
| | - Colin L Masters
- The Florey Institute, The University of Melbourne, 30 Royal Parade, Parkville, VIC, 3052, Australia
| | - Ben J Gu
- The Florey Institute, The University of Melbourne, 30 Royal Parade, Parkville, VIC, 3052, Australia.
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Mocci E, Kundu P, Wheeler W, Arslan AA, Beane-Freeman LE, Bracci PM, Brennan P, Canzian F, Du M, Gallinger S, Giles GG, Goodman PJ, Kooperberg C, Le Marchand L, Neale RE, Shu XO, Visvanathan K, White E, Zheng W, Albanes D, Andreotti G, Babic A, Bamlet WR, Berndt SI, Blackford AL, Bueno-de-Mesquita B, Buring JE, Campa D, Chanock SJ, Childs EJ, Duell EJ, Fuchs CS, Gaziano JM, Giovannucci EL, Goggins MG, Hartge P, Hassan MM, Holly EA, Hoover RN, Hung RJ, Kurtz RC, Lee IM, Malats N, Milne RL, Ng K, Oberg AL, Panico S, Peters U, Porta M, Rabe KG, Riboli E, Rothman N, Scelo G, Sesso HD, Silverman DT, Stevens VL, Strobel O, Thompson IM, Tjonneland A, Trichopoulou A, Van Den Eeden SK, Wactawski-Wende J, Wentzensen N, Wilkens LR, Yu H, Yuan F, Zeleniuch-Jacquotte A, Amundadottir LT, Li D, Jacobs EJ, Petersen GM, Wolpin BM, Risch HA, Kraft P, Chatterjee N, Klein AP, Stolzenberg-Solomon R. Smoking Modifies Pancreatic Cancer Risk Loci on 2q21.3. Cancer Res 2021; 81:3134-3143. [PMID: 33574088 PMCID: PMC8178175 DOI: 10.1158/0008-5472.can-20-3267] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 11/30/2020] [Accepted: 02/08/2021] [Indexed: 11/16/2022]
Abstract
Germline variation and smoking are independently associated with pancreatic ductal adenocarcinoma (PDAC). We conducted genome-wide smoking interaction analysis of PDAC using genotype data from four previous genome-wide association studies in individuals of European ancestry (7,937 cases and 11,774 controls). Examination of expression quantitative trait loci data from the Genotype-Tissue Expression Project followed by colocalization analysis was conducted to determine whether there was support for common SNP(s) underlying the observed associations. Statistical tests were two sided and P < 5 × 10-8 was considered statistically significant. Genome-wide significant evidence of qualitative interaction was identified on chr2q21.3 in intron 5 of the transmembrane protein 163 (TMEM163) and upstream of the cyclin T2 (CCNT2). The most significant SNP using the Empirical Bayes method, in this region that included 45 significantly associated SNPs, was rs1818613 [per allele OR in never smokers 0.87, 95% confidence interval (CI), 0.82-0.93; former smokers 1.00, 95% CI, 0.91-1.07; current smokers 1.25, 95% CI 1.12-1.40, P interaction = 3.08 × 10-9). Examination of the Genotype-Tissue Expression Project data demonstrated an expression quantitative trait locus in this region for TMEM163 and CCNT2 in several tissue types. Colocalization analysis supported a shared SNP, rs842357, in high linkage disequilibrium with rs1818613 (r 2 = 0. 94) driving both the observed interaction and the expression quantitative trait loci signals. Future studies are needed to confirm and understand the differential biologic mechanisms by smoking status that contribute to our PDAC findings. SIGNIFICANCE: This large genome-wide interaction study identifies a susceptibility locus on 2q21.3 that significantly modified PDAC risk by smoking status, providing insight into smoking-associated PDAC, with implications for prevention.
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Affiliation(s)
- Evelina Mocci
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Prosenjit Kundu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - William Wheeler
- Information Management Services, Inc., Silver Spring, Maryland
| | - Alan A Arslan
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, New York
- Department of Population Health, New York University School of Medicine, New York, New York
- Department of Environmental Medicine, New York University School of Medicine, New York, New York
| | | | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Steven Gallinger
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, Ontario, Canada
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Loic Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Rachel E Neale
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Kala Visvanathan
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Emily White
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | | | - Ana Babic
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - William R Bamlet
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Amanda L Blackford
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Julie E Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Daniele Campa
- Department of Biology, University of Pisa, Pisa, Italy
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Erica J Childs
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Eric J Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology (ICO), Barcelona, Spain
| | - Charles S Fuchs
- Yale Cancer Center, New Haven, Connecticut
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut
- Smilow Cancer Hospital, New Haven, Connecticut
| | - J Michael Gaziano
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Boston Veteran Affairs Healthcare System, Boston, Massachusetts
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Michael G Goggins
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Manal M Hassan
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, Ontario, Canada
| | - Robert C Kurtz
- Gastroenterology, Hepatology, and Nutrition Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre, Madrid, Spain
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - Kimmie Ng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ann L Oberg
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Ulrike Peters
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Miquel Porta
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Hospital del Mar Institute of Medical Research (IMIM), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Kari G Rabe
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | | | - Howard D Sesso
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Victoria L Stevens
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Oliver Strobel
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany
| | - Ian M Thompson
- CHRISTUS Santa Rosa Hospital - Medical Center, San Antonio, Texas
| | - Anne Tjonneland
- Department of Public Health, University of Copenhagen and Danish Cancer Society Research Center Diet, Genes and Environment, Copenhagen, Denmark
| | - Antonia Trichopoulou
- Hellenic Health Foundation, World Health Organization Collaborating Center of Nutrition, Medical School, University of Athens, Greece
| | | | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University of Buffalo, Buffalo, New York
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Lynne R Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Herbert Yu
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Fangcheng Yuan
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, New York
- Department of Environmental Medicine, New York University School of Medicine, New York, New York
| | | | - Donghui Li
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Eric J Jacobs
- Department of Public Health, University of Copenhagen and Danish Cancer Society Research Center Diet, Genes and Environment, Copenhagen, Denmark
| | - Gloria M Petersen
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Nilanjan Chatterjee
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Alison P Klein
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland
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10
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Yuan Y, Liu T, Huang X, Chen Y, Zhang W, Li T, Yang L, Chen Q, Wang Y, Wei A, Li W. A zinc transporter, transmembrane protein 163, is critical for the biogenesis of platelet dense granules. Blood 2021; 137:1804-1817. [PMID: 33513603 PMCID: PMC8020268 DOI: 10.1182/blood.2020007389] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 01/03/2021] [Indexed: 11/20/2022] Open
Abstract
Lysosome-related organelles (LROs) are a category of secretory organelles enriched with ions such as calcium, which are maintained by ion transporters or channels. Homeostasis of these ions is important for LRO biogenesis and secretion. Hermansky-Pudlak syndrome (HPS) is a recessive disorder with defects in multiple LROs, typically platelet dense granules (DGs) and melanosomes. However, the underlying mechanism of DG deficiency is largely unknown. Using quantitative proteomics, we identified a previously unreported platelet zinc transporter, transmembrane protein 163 (TMEM163), which was significantly reduced in BLOC-1 (Dtnbp1sdy and Pldnpa)-, BLOC-2 (Hps6ru)-, or AP-3 (Ap3b1pe)-deficient mice and HPS patients (HPS2, HPS3, HPS5, HPS6, or HPS9). We observed similar platelet DG defects and higher intracellular zinc accumulation in platelets of mice deficient in either TMEM163 or dysbindin (a BLOC-1 subunit). In addition, we discovered that BLOC-1 was required for the trafficking of TMEM163 to perinuclear DG and late endosome marker-positive compartments (likely DG precursors) in MEG-01 cells. Our results suggest that TMEM163 is critical for DG biogenesis and that BLOC-1 is required for the trafficking of TMEM163 to putative DG precursors. These new findings suggest that loss of TMEM163 function results in disruption of intracellular zinc homeostasis and provide insights into the pathogenesis of HPS or platelet storage pool deficiency.
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Affiliation(s)
- Yefeng Yuan
- Beijing Key Laboratory for Genetics of Birth Defects/Beijing Pediatric Research Institute, MOE Key Laboratory of Major Diseases in Children, Genetics and Birth Defects Control Center/National Center for Children's Health, and Beijing Children's Hospital/Capital Medical University, Beijing, China
- University of Chinese Academy of Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Teng Liu
- Department of Dermatology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Shunyi Women and Children's Hospital of Beijing Children's Hospital, Beijing, China
| | - Xiahe Huang
- University of Chinese Academy of Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yuanying Chen
- Beijing Key Laboratory for Genetics of Birth Defects/Beijing Pediatric Research Institute, MOE Key Laboratory of Major Diseases in Children, Genetics and Birth Defects Control Center/National Center for Children's Health, and Beijing Children's Hospital/Capital Medical University, Beijing, China
| | - Weilin Zhang
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; and
| | - Ting Li
- University of Chinese Academy of Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Lin Yang
- University of Chinese Academy of Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Quan Chen
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China; and
- Tianjin Key Laboratory of Protein Science, College of Life Sciences, Nankai University, Tianjin, China
| | - Yingchun Wang
- University of Chinese Academy of Sciences, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Aihua Wei
- Department of Dermatology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wei Li
- Beijing Key Laboratory for Genetics of Birth Defects/Beijing Pediatric Research Institute, MOE Key Laboratory of Major Diseases in Children, Genetics and Birth Defects Control Center/National Center for Children's Health, and Beijing Children's Hospital/Capital Medical University, Beijing, China
- Shunyi Women and Children's Hospital of Beijing Children's Hospital, Beijing, China
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11
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Styrpejko DJ, Cuajungco MP. Transmembrane 163 (TMEM163) Protein: A New Member of the Zinc Efflux Transporter Family. Biomedicines 2021; 9:biomedicines9020220. [PMID: 33670071 PMCID: PMC7926707 DOI: 10.3390/biomedicines9020220] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 02/17/2021] [Accepted: 02/17/2021] [Indexed: 12/27/2022] Open
Abstract
A growing body of evidence continues to demonstrate the vital roles that zinc and its transporters play on human health. The mammalian solute carrier 30 (SLC30) family, with ten current members, controls zinc efflux transport in cells. TMEM163, a recently reported zinc transporter, has similar characteristics in both predicted transmembrane domain structure and function to the cation diffusion facilitator (CDF) protein superfamily. This review discusses past and present data indicating that TMEM163 is a zinc binding protein that transports zinc in cells. We provide a brief background on TMEM163’s discovery, transport feature, protein interactome, and similarities, as well as differences, with known SLC30 (ZnT) protein family. We also examine recent reports that implicate TMEM163 directly or indirectly in various human diseases such as Parkinson’s disease, Mucolipidosis type IV and diabetes. Overall, the role of TMEM163 protein in zinc metabolism is beginning to be realized, and based on current evidence, we propose that it is likely a new CDF member belonging to mammalian SLC30 (ZnT) zinc efflux transporter proteins.
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Affiliation(s)
- Daniel J. Styrpejko
- Department of Biological Science, California State University Fullerton, Fullerton, CA 92831, USA;
| | - Math P. Cuajungco
- Department of Biological Science, California State University Fullerton, Fullerton, CA 92831, USA;
- Center for Applied Biotechnology Studies, California State University Fullerton, Fullerton, CA 92831, USA
- Correspondence:
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12
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Müller AK, Markert N, Leser K, Kämpfer D, Schiwy S, Riegraf C, Buchinger S, Gan L, Abdallah AT, Denecke B, Segner H, Brinkmann M, Crawford SE, Hollert H. Bioavailability and impacts of estrogenic compounds from suspended sediment on rainbow trout (Oncorhynchus mykiss). AQUATIC TOXICOLOGY (AMSTERDAM, NETHERLANDS) 2021; 231:105719. [PMID: 33360234 DOI: 10.1016/j.aquatox.2020.105719] [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: 04/14/2020] [Revised: 11/15/2020] [Accepted: 12/06/2020] [Indexed: 06/12/2023]
Abstract
Numerous environmental pollutants have the potential to accumulate in sediments, and among them are endocrine-disrupting chemicals (EDCs). It is well documented that water-borne exposure concentrations of some potent EDCs, more specifically estrogenic- active compounds (ECs), can impair the reproduction of fish. In contrast, little is known about the bioavailability and effects of sediment-associated ECs on fish. Particularly, when sediments are disturbed, e.g., during flood events, chemicals may be released from the sediment and become bioavailable. The main objectives of this study were to evaluate a) whether ECs from the sediment become bioavailable to fish when the sediment is suspended, and b) whether such exposure leads to endocrine responses in fish. Juvenile rainbow trout (Oncorhynchus mykiss) were exposed over 21 days to constantly suspended sediments in the following treatments: i) a contaminated sediment from the Luppe River, representing a "hotspot" for EC accumulation, ii) a reference sediment (exhibiting only background contamination), iii) three dilutions, 2-, 4- and 8-fold of Luppe sediment diluted with the reference sediment, and iv) a water-only control. Measured estrogenic activity using in vitro bioassays as well as target analysis of nonylphenol and estrone via LC-MS/MS in sediment, water, fish plasma, as well as bile samples, confirmed that ECs became bioavailable from the sediment during suspension. ECs were dissolved in the water phase, as indicated by passive samplers, and were readily taken up by the exposed trout. An estrogenic response of fish to Luppe sediment was indicated by increased abundance of transcripts of typical estrogen responsive genes, i.e. vitelline envelope protein α in the liver and vitellogenin induction in the skin mucus. Altered gene expression profiles of trout in response to suspended sediment from the Luppe River suggest that in addition to ECs a number of other contaminants such as dioxins, polychlorinated biphenyls (PCBs) and heavy metals were remobilized during suspension. The results of the present study demonstrated that sediments not only function as a sink for ECs but can turn into a significant source of pollution when sediments are resuspended as during flood-events. This highlights the need for sediment quality criteria considering bioavailability sediment-bound contaminants in context of flood events.
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Affiliation(s)
- Anne-Katrin Müller
- RWTH Aachen University, Institute for Environmental Research, Worringer Weg 1, 52074, Aachen, Germany.
| | - Nele Markert
- RWTH Aachen University, Institute for Environmental Research, Worringer Weg 1, 52074, Aachen, Germany
| | - Katharina Leser
- RWTH Aachen University, Institute for Environmental Research, Worringer Weg 1, 52074, Aachen, Germany
| | - David Kämpfer
- RWTH Aachen University, Institute for Environmental Research, Worringer Weg 1, 52074, Aachen, Germany
| | - Sabrina Schiwy
- RWTH Aachen University, Institute for Environmental Research, Worringer Weg 1, 52074, Aachen, Germany; Goethe University Frankfurt, Department of Evolutionary Ecology and Environmental Toxicology, Max-von-Laue-Str. 13, 60438, Frankfurt am Main, Germany
| | - Carolin Riegraf
- RWTH Aachen University, Institute for Environmental Research, Worringer Weg 1, 52074, Aachen, Germany; Federal Institute of Hydrology, Am Mainzer Tor 1, 56068, Koblenz, Germany
| | | | - Lin Gan
- IZKF Genomics Facility, University Hospital Aachen, Pauwelsstr. 30, 52074, Aachen, Germany
| | - Ali T Abdallah
- IZKF Genomics Facility, University Hospital Aachen, Pauwelsstr. 30, 52074, Aachen, Germany
| | - Bernd Denecke
- IZKF Genomics Facility, University Hospital Aachen, Pauwelsstr. 30, 52074, Aachen, Germany
| | - Helmut Segner
- University of Bern, Centre for Fish and Wildlife Health, Länggassstr. 122, 3012, Bern, Switzerland
| | - Markus Brinkmann
- University of Saskatchewan, School of the Environment and Sustainability & Toxicology Centre, Saskatoon, Canada
| | - Sarah E Crawford
- RWTH Aachen University, Institute for Environmental Research, Worringer Weg 1, 52074, Aachen, Germany; Goethe University Frankfurt, Department of Evolutionary Ecology and Environmental Toxicology, Max-von-Laue-Str. 13, 60438, Frankfurt am Main, Germany
| | - Henner Hollert
- RWTH Aachen University, Institute for Environmental Research, Worringer Weg 1, 52074, Aachen, Germany; Goethe University Frankfurt, Department of Evolutionary Ecology and Environmental Toxicology, Max-von-Laue-Str. 13, 60438, Frankfurt am Main, Germany
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13
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Villar-Conde S, Astillero-Lopez V, Gonzalez-Rodriguez M, Villanueva-Anguita P, Saiz-Sanchez D, Martinez-Marcos A, Flores-Cuadrado A, Ubeda-Bañon I. The Human Hippocampus in Parkinson's Disease: An Integrative Stereological and Proteomic Study. JOURNAL OF PARKINSON'S DISEASE 2021; 11:1345-1365. [PMID: 34092653 PMCID: PMC8461741 DOI: 10.3233/jpd-202465] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/16/2021] [Indexed: 01/29/2023]
Abstract
BACKGROUND Parkinson's disease (PD) is a prevalent neurodegenerative disease that is pathologically described as a six-stage α-synucleinopathy. In stage 4, α-synuclein reaches the hippocampus, inducing cognitive deficits, from which it progresses to the isocortex, leading to dementia. Among hippocampal fields, cornu ammonis 2 is particularly affected by this α-synucleinopathy and critical for cognitive decline. Volumetric studies using magnetic resonance imaging have produced controversial results, with only some reporting volume loss, whereas stereological data obtained using nonspecific markers do not reveal volume changes, neural or glial loss. Proteomic analysis has not been carried out in the hippocampus of patients with PD. OBJECTIVE This study aims to explain hippocampal changes in patients with PD at the cellular and proteomic levels. METHODS α-Synuclein inclusions, volume and neural (NeuN), microglial (Iba-1) and astroglial (GFAP) populations were stereologically analyzed. SWATH-MS quantitative proteomic analysis was also conducted. RESULTS Area fraction fractionator probe revealed a higher area fraction α-synucleinopathy in cornu ammonis 2. No volume change, neurodegeneration, microgliosis or astrogliosis was detected. Proteomic analysis identified 1,634 proteins, of which 83 were particularly useful for defining differences among PD and non-PD groups. Among them, upregulated (PHYIP, CTND2, AHSA1 and SNTA1) and downregulated (TM163, REEP2 and CSKI1) proteins were related to synaptic structures in the diseased hippocampus. CONCLUSION The distribution of α-synuclein in the hippocampus is not associated with volumetric, neural or glial changes. Proteomic analysis, however, reveals a series of changes in proteins associated with synaptic structures, suggesting that hippocampal changes occur at the synapse level during PD.
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Affiliation(s)
- Sandra Villar-Conde
- Neuroplasticity and Neurodegeneration Laboratory, Ciudad Real Medical School, CRIB, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Veronica Astillero-Lopez
- Neuroplasticity and Neurodegeneration Laboratory, Ciudad Real Medical School, CRIB, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Melania Gonzalez-Rodriguez
- Neuroplasticity and Neurodegeneration Laboratory, Ciudad Real Medical School, CRIB, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Patricia Villanueva-Anguita
- Neuroplasticity and Neurodegeneration Laboratory, Ciudad Real Medical School, CRIB, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Daniel Saiz-Sanchez
- Neuroplasticity and Neurodegeneration Laboratory, Ciudad Real Medical School, CRIB, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Alino Martinez-Marcos
- Neuroplasticity and Neurodegeneration Laboratory, Ciudad Real Medical School, CRIB, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Alicia Flores-Cuadrado
- Neuroplasticity and Neurodegeneration Laboratory, Ciudad Real Medical School, CRIB, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Isabel Ubeda-Bañon
- Neuroplasticity and Neurodegeneration Laboratory, Ciudad Real Medical School, CRIB, University of Castilla-La Mancha, Ciudad Real, Spain
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14
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Autophagy lysosomal pathway dysfunction in Parkinson's disease; evidence from human genetics. Parkinsonism Relat Disord 2020; 73:60-71. [DOI: 10.1016/j.parkreldis.2019.11.015] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 11/08/2019] [Accepted: 11/12/2019] [Indexed: 02/06/2023]
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15
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Abstract
Coxiella burnetii is a unique bacterial pathogen that replicates to high numbers in a lysosome-like intracellular niche. This study identified host proteins that contribute to the pathogen’s capacity to establish this niche and activate the Dot/Icm secretion system required for intracellular replication. Many host proteins were found to contribute to the establishment of C. burnetii virulence by aiding trafficking of the pathogen to the lysosome and creating the degradative lysosome environment. Pathogenic bacteria are able to sense and adapt to their environment by altering their gene expression profile. Here we demonstrated that C. burnetii detects specific amino acids present in the lysosome using a two-component system that up-regulates expression of genes required for Dot/Icm activity. Coxiella burnetii is an intracellular pathogen that replicates in a lysosome-like vacuole through activation of a Dot/Icm-type IVB secretion system and subsequent translocation of effectors that remodel the host cell. Here a genome-wide small interfering RNA screen and reporter assay were used to identify host proteins required for Dot/Icm effector translocation. Significant, and independently validated, hits demonstrated the importance of multiple protein families required for endocytic trafficking of the C. burnetii-containing vacuole to the lysosome. Further analysis demonstrated that the degradative activity of the lysosome created by proteases, such as TPP1, which are transported to the lysosome by receptors, such as M6PR and LRP1, are critical for C. burnetii virulence. Indeed, the C. burnetii PmrA/B regulon, responsible for transcriptional up-regulation of genes encoding the Dot/Icm apparatus and a subset of effectors, induced expression of a virulence-associated transcriptome in response to degradative products of the lysosome. Luciferase reporter strains, and subsequent RNA-sequencing analysis, demonstrated that particular amino acids activate the C. burnetii PmrA/B two-component system. This study has further enhanced our understanding of C. burnetii pathogenesis, the host–pathogen interactions that contribute to bacterial virulence, and the different environmental triggers pathogens can sense to facilitate virulence.
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16
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Transmembrane 163 (TMEM163) protein effluxes zinc. Arch Biochem Biophys 2019; 677:108166. [PMID: 31697912 PMCID: PMC6864316 DOI: 10.1016/j.abb.2019.108166] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 10/09/2019] [Accepted: 10/31/2019] [Indexed: 01/19/2023]
Abstract
Recent investigations of rodent Tmem163 suggest that it binds to and transports zinc as a dimer, and that alanine mutagenesis of its two species-conserved aspartate (D123A/D127A) residues proposed to bind zinc, perturbs protein function. Direct corroboration, however, is lacking whether it is an influx or efflux transporter in cells. We hypothesized that human TMEM163 is a zinc effluxer based on its predicted protein characteristics. We used cultured human cell lines that either stably or transiently expressed TMEM163, and pre-loaded the cells with zinc to determine transport activity. We found that TMEM163-expressing cells exhibited significant reduction of intracellular zinc levels as evidenced by two zinc-specific fluorescent dyes and radionuclide zinc-65. The specificity of the fluorescence signal was confirmed upon treatment with TPEN, a high-affinity zinc chelator. Multiple sequence alignment and phylogenetic analyses showed that TMEM163 is related to distinct members of the cation diffusion facilitator (CDF) protein family. To further characterize the efflux function of TMEM163, we substituted alanine in two homologous aspartate residues (D124A/D128A) and performed site-directed mutagenesis of several conserved amino acid residues identified as non-synonymous single nucleotide polymorphism (S61R, S95C, S193P, and E286K). We found a significant reduction of zinc efflux upon cellular expression of D124A/D128A or E286K protein variant when compared with wild-type, suggesting that these particular amino acids are important for normal protein function. Taken together, our findings demonstrate that TMEM163 effluxes zinc, and it should now be designated ZNT11 as a new member of the mammalian CDF family of zinc efflux transporters.
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