Imaging mass spectrometry enables molecular profiling of mouse and human pancreatic tissue.
Diabetes
Ganglioside
Imaging mass spectrometry
MALDI
Pancreas
Phospholipid
Journal
Diabetologia
ISSN: 1432-0428
Titre abrégé: Diabetologia
Pays: Germany
ID NLM: 0006777
Informations de publication
Date de publication:
06 2019
06 2019
Historique:
received:
22
06
2018
accepted:
20
02
2019
pubmed:
8
4
2019
medline:
14
1
2020
entrez:
8
4
2019
Statut:
ppublish
Résumé
The molecular response and function of pancreatic islet cells during metabolic stress is a complex process. The anatomical location and small size of pancreatic islets coupled with current methodological limitations have prevented the achievement of a complete, coherent picture of the role that lipids and proteins play in cellular processes under normal conditions and in diseased states. Herein, we describe the development of untargeted tissue imaging mass spectrometry (IMS) technologies for the study of in situ protein and, more specifically, lipid distributions in murine and human pancreases. We developed matrix-assisted laser desorption/ionisation (MALDI) IMS protocols to study metabolite, lipid and protein distributions in mouse (wild-type and ob/ob mouse models) and human pancreases. IMS allows for the facile discrimination of chemically similar lipid and metabolite isoforms that cannot be distinguished using standard immunohistochemical techniques. Co-registration of MS images with immunofluorescence images acquired from serial tissue sections allowed accurate cross-registration of cell types. By acquiring immunofluorescence images first, this serial section approach guides targeted high spatial resolution IMS analyses (down to 15 μm) of regions of interest and leads to reduced time requirements for data acquisition. MALDI IMS enabled the molecular identification of specific phospholipid and glycolipid isoforms in pancreatic islets with intra-islet spatial resolution. This technology shows that subtle differences in the chemical structure of phospholipids can dramatically affect their distribution patterns and, presumably, cellular function within the islet and exocrine compartments of the pancreas (e.g. 18:1 vs 18:2 fatty acyl groups in phosphatidylcholine lipids). We also observed the localisation of specific GM3 ganglioside lipids [GM3(d34:1), GM3(d36:1), GM3(d38:1) and GM3(d40:1)] within murine islet cells that were correlated with a higher level of GM3 synthase as verified by immunostaining. However, in human pancreas, GM3 gangliosides were equally distributed in both the endocrine and exocrine tissue, with only one GM3 isoform showing islet-specific localisation. The development of more complete molecular profiles of pancreatic tissue will provide important insight into the molecular state of the pancreas during islet development, normal function, and diseased states. For example, this study demonstrates that these results can provide novel insight into the potential signalling mechanisms involving phospholipids and glycolipids that would be difficult to detect by targeted methods, and can help raise new hypotheses about the types of physiological control exerted on endocrine hormone-producing cells in islets. Importantly, the in situ measurements afforded by IMS do not require a priori knowledge of molecules of interest and are not susceptible to the limitations of immunohistochemistry, providing the opportunity for novel biomarker discovery. Notably, the presence of multiple GM3 isoforms in mouse islets and the differential localisation of lipids in human tissue underscore the important role these molecules play in regulating insulin modulation and suggest species, organ, and cell specificity. This approach demonstrates the importance of both high spatial resolution and high molecular specificity to accurately survey the molecular composition of complex, multi-functional tissues such as the pancreas.
Identifiants
pubmed: 30955045
doi: 10.1007/s00125-019-4855-8
pii: 10.1007/s00125-019-4855-8
pmc: PMC6553460
mid: NIHMS1526552
doi:
Substances chimiques
Gangliosides
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
1036-1047Subventions
Organisme : NIDDK NIH HHS
ID : UC4 DK104218
Pays : United States
Organisme : NIDDK NIH HHS
ID : UC4 DK104211
Pays : United States
Organisme : NIDDK NIH HHS
ID : U54 DK120058
Pays : United States
Organisme : NIGMS NIH HHS
ID : P41 GM103391
Pays : United States
Organisme : NIDDK NIH HHS
ID : UC4 DK108120
Pays : United States
Organisme : NIDDK NIH HHS
ID : F32 DK105841
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK072473
Pays : United States
Organisme : NIDDK NIH HHS
ID : UC4 DK112232
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK089572
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA068485
Pays : United States
Organisme : NIDDK NIH HHS
ID : R24 DK106755
Pays : United States
Organisme : NIDDK NIH HHS
ID : U24 DK059637
Pays : United States
Organisme : NIH HHS
ID : S10 OD021630
Pays : United States
Organisme : NIDDK NIH HHS
ID : U2C DK059637
Pays : United States
Organisme : BLRD VA
ID : I01 BX000666
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK094199
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK020593
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK104218
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK097829
Pays : United States
Références
Slack J (1995) Developmental biology of the pancreas. Development 121:1569–1580
pubmed: 7600975
Prado C, Pugh-Bernard A, Elghazi L, Sosa-Pineda B, Sussel L (2004) Ghrelin cells replace insulin-producing beta cells in two mouse models of pancreas development. Proc Natl Acad Sci U S A 101(9):2924–2929. https://doi.org/10.1073/pnas.0308604100
doi: 10.1073/pnas.0308604100
pubmed: 14970313
pmcid: 365721
Wang Q, Jin T (2009) The role of insulin signaling in the development of β-cell dysfunction and diabetes. Islets 1(2):95–101. https://doi.org/10.4161/isl.1.2.9263
doi: 10.4161/isl.1.2.9263
pubmed: 21099255
Talchai C, Lin H, Kitamura T, Accili D (2009) Genetic and biochemical pathways of beta-cell failure in type 2 diabetes. Diabetes Obes Metab 11(Suppl 4):38–45. https://doi.org/10.1111/j.1463-1326.2009.01115.x
doi: 10.1111/j.1463-1326.2009.01115.x
pubmed: 19817787
Buschard K, Josefsen K, Hansen S et al (1994) Sulphatide in islets of Langerhans and in organs affected in diabetic late complications: a study in human and animal tissue. Diabetologia 37(10):1000–1006. https://doi.org/10.1007/BF00400463
doi: 10.1007/BF00400463
pubmed: 7851678
Lang F, Ullrich S, Gulbins E (2011) Ceramide formation as a target in beta-cell survival and function. Expert Opin Ther Targets 15(9):1061–1071. https://doi.org/10.1517/14728222.2011.588209
doi: 10.1517/14728222.2011.588209
pubmed: 21635197
Boslem E, Meikle P, Biden T (2012) Roles of ceramide and sphingolipids in pancreatic β-cell function and dysfunction. Islets 4(3):177–187. https://doi.org/10.4161/isl.20102
doi: 10.4161/isl.20102
pubmed: 22847494
pmcid: 3442815
Galadari S, Rahman A, Pallichankandy S, Galadari A, Thayyullathil F (2013) Role of ceramide in diabetes mellitus: evidence and mechanisms. Lipids Health Dis 12(1):98. https://doi.org/10.1186/1476-511X-12-98
doi: 10.1186/1476-511X-12-98
pubmed: 23835113
pmcid: 3716967
Russo S, Ross J, Cowart L (2013) Sphingolipids in obesity, type 2 diabetes, and metabolic disease. Handb Exp Pharmacol 216:373–401
Hsu F, Bohrer A, Wohltmann M et al (2000) Electrospray ionization mass spectrometric analyses of changes in tissue phospholipid molecular species during the evolution of hyperlipidemia and hyperglycemia in Zucker diabetic fatty rats. Lipids 35(8):839–854. https://doi.org/10.1007/S11745-000-0593-z
doi: 10.1007/S11745-000-0593-z
pubmed: 10984107
Ramanadham S, Hsu F, Zhang S, Bohrer A, Ma Z, Turk J (2000) Electrospray ionization mass spectrometric analyses of phospholipids from INS-1 insulinoma cells: comparison to pancreatic islets and effects of fatty acid supplementation on phospholipid composition and insulin secretion. Biochim Biophys Acta 1484(2-3):251–266. https://doi.org/10.1016/S1388-1981(00)00022-6
doi: 10.1016/S1388-1981(00)00022-6
pubmed: 10760474
Weijers RN (2012) Lipid composition of cell membranes and its relevance in type 2 diabetes mellitus. Curr Diabetes Rev 8(5):390–400. https://doi.org/10.2174/157339912802083531
doi: 10.2174/157339912802083531
pubmed: 22698081
pmcid: 3474953
Tagami S, Inokuchi J, Kabayama K et al (2002) Ganglioside GM3 participates in the pathological conditions of insulin resistance. J Biol Chem 277(5):3085–3092. https://doi.org/10.1074/jbc.M103705200
doi: 10.1074/jbc.M103705200
pubmed: 11707432
Lipina C, Hundal HS (2015) Ganglioside GM3 as a gatekeeper of obesity-associated insulin resistance: evidence and mechanisms. FEBS Lett 589(21):3221–3227. https://doi.org/10.1016/j.febslet.2015.09.018
doi: 10.1016/j.febslet.2015.09.018
pubmed: 26434718
Metz TO, Jacobs JM, Gritsenko MA et al (2006) Characterization of the human pancreatic islet proteome by two-dimensional LC/MS/MS. J Proteome Res 5(12):3345–3354. https://doi.org/10.1021/pr060322n
doi: 10.1021/pr060322n
pubmed: 17137336
pmcid: 2975945
Petyuk VA, Qian WJ, Hinault C et al (2008) Characterization of the mouse pancreatic islet proteome and comparative analysis with other mouse tissues. J Proteome Res 7(8):3114–3126. https://doi.org/10.1021/pr800205b
doi: 10.1021/pr800205b
pubmed: 18570455
pmcid: 2749725
Waanders LF, Chwalek K, Monetti M, Kumar C, Lammert E, Mann M (2009) Quantitative proteomic analysis of single pancreatic islets. Proc Natl Acad Sci U S A 106(45):18902–18907. https://doi.org/10.1073/pnas.0908351106
doi: 10.1073/pnas.0908351106
pubmed: 19846766
pmcid: 2765458
El Ouaamari A, Zhou JY, Liew CW et al (2015) Compensatory islet response to insulin resistance revealed by quantitative proteomics. J Proteome Res 14(8):3111–3122. https://doi.org/10.1021/acs.jproteome.5b00587
doi: 10.1021/acs.jproteome.5b00587
pubmed: 26151086
pmcid: 4615688
Pearson GL, Mellett N, Chu KY, Boslem E, Meikle PJ, Biden TJ (2016) A comprehensive lipidomic screen of pancreatic beta-cells using mass spectroscopy defines novel features of glucose-stimulated turnover of neutral lipids, sphingolipids and plasmalogens. Mol Metab 5(6):404–414. https://doi.org/10.1016/j.molmet.2016.04.003
doi: 10.1016/j.molmet.2016.04.003
pubmed: 27257600
pmcid: 4877660
Roomp K, Kristinsson H, Schvartz D et al (2017) Combined lipidomic and proteomic analysis of isolated human islets exposed to palmitate reveals time-dependent changes in insulin secretion and lipid metabolism. PLoS One 12(4):e0176391. https://doi.org/10.1371/journal.pone.0176391
doi: 10.1371/journal.pone.0176391
pubmed: 28448538
pmcid: 5407795
Caprioli RM, Farmer TB, Gile J (1997) Molecular imaging of biological samples: localization of peptides and proteins using MALDI-TOF MS. Anal Chem 69(23):4751–4760. https://doi.org/10.1021/ac970888i
doi: 10.1021/ac970888i
pubmed: 9406525
McDonnell LA, Heeren RMA (2007) Imaging mass spectrometry. Mass Spectrom Rev 26(4):606–643. https://doi.org/10.1002/mas.20124
doi: 10.1002/mas.20124
pubmed: 17471576
Norris JL, Caprioli RM (2013) Imaging mass spectrometry: a new tool for pathology in a molecular age. Proteomics Clin Appl 7(11-12):733–738. https://doi.org/10.1002/prca.201300055
doi: 10.1002/prca.201300055
pubmed: 24178781
pmcid: 3919023
Norris JL, Caprioli RM (2013) Analysis of tissue specimens by matrix-assisted laser desorption/ionization imaging mass spectrometry in biological and clinical research. Chem Rev 113(4):2309–2342. https://doi.org/10.1021/cr3004295
doi: 10.1021/cr3004295
pubmed: 23394164
pmcid: 3624074
Wu CP, Dill AL, Eberlin LS, Cooks RG, Ifa DR (2013) Mass spectrometry imaging under ambient conditions. Mass Spectrom Rev 32(3):218–243. https://doi.org/10.1002/mas.21360
doi: 10.1002/mas.21360
pubmed: 22996621
Spengler B (2015) Mass spectrometry imaging of biomolecular information. Anal Chem 87(1):64–82. https://doi.org/10.1021/ac504543v
doi: 10.1021/ac504543v
pubmed: 25490190
Minerva L, Clerens S, Baggerman G, Arckens L (2008) Direct profiling and identification of peptide expression differences in the pancreas of control and ob/ob mice by imaging mass spectrometry. Proteomics 8(18):3763–3774. https://doi.org/10.1002/pmic.200800237
doi: 10.1002/pmic.200800237
pubmed: 18712771
Djidja MC, Claude E, Snel MF et al (2009) MALDI-ion mobility separation-mass spectrometry imaging of glucose-regulated protein 78 kDa (Grp78) in human formalin-fixed, paraffin-embedded pancreatic adenocarcinoma tissue sections. J Proteome Res 8(10):4876–4884. https://doi.org/10.1021/pr900522m
doi: 10.1021/pr900522m
pubmed: 19673544
Green-Mitchell SM, Cazares LH, Semmes OJ, Nadler JL, Nyalwidhe JO (2011) On-tissue identification of insulin: in situ reduction coupled with mass spectrometry imaging. Proteomics Clin Appl 5(7-8):448–453. https://doi.org/10.1002/prca.201000152
doi: 10.1002/prca.201000152
pubmed: 21656913
pmcid: 3516910
Minerva L, Boonen K, Menschaert G, Landuyt B, Baggerman G, Arckens L (2011) Linking mass spectrometric imaging and traditional peptidomics: a validation in the obese mouse model. Anal Chem 83(20):7682–7691. https://doi.org/10.1021/ac200888j
doi: 10.1021/ac200888j
pubmed: 21913672
Grüner BM, Hahne H, Mazur PK et al (2012) MALDI imaging mass spectrometry for in situ proteomic analysis of preneoplastic lesions in pancreatic cancer. PLoS One 7(6). https://doi.org/10.1371/journal.pone.0039424
doi: 10.1371/journal.pone.0039424
pubmed: 22761793
pmcid: 3383687
Thiery-Lavenant G, Zavalin AI, Caprioli RM (2013) Targeted multiplex imaging mass spectrometry in transmission geometry for subcellular spatial resolution. J Am Soc Mass Spectrom 24(4):609–614. https://doi.org/10.1007/s13361-012-0563-z
doi: 10.1007/s13361-012-0563-z
pubmed: 23397138
Janson ET, Comi TJ, Rubakhin SS, Sweedler JV (2016) Single cell peptide heterogeneity of rat islets of Langerhans. ACS Chem Biol 11(9):2588–2595. https://doi.org/10.1021/acschembio.6b00602
doi: 10.1021/acschembio.6b00602
Djidja M-C, Claude E, Snel M et al (2010) Novel molecular tumour classification using MALDI-mass spectrometry imaging of tissue micro-array. Anal Bioanal Chem 397(2):587–601. https://doi.org/10.1007/s00216-010-3554-6
doi: 10.1007/s00216-010-3554-6
pubmed: 20204332
Eberlin LS, Margulis K, Planell-Mendez I et al (2016) Pancreatic cancer surgical resection margins: molecular assessment by mass spectrometry imaging. PLoS Med 13(8):e1002108. https://doi.org/10.1371/journal.pmed.1002108
doi: 10.1371/journal.pmed.1002108
pubmed: 27575375
pmcid: 5019340
Yin R, Kyle J, Burnum-Johnson K et al (2018) High spatial resolution imaging of mouse pancreatic islets using nanospray desorption electrospray ionization mass spectrometry. Anal Chem 90(11):6548–6555. https://doi.org/10.1021/acs.analchem.8b00161
doi: 10.1021/acs.analchem.8b00161
pubmed: 29718662
pmcid: 5990474
Brissova M, Haliyur R, Saunders D et al (2018) Alpha cell function and gene expression are compromised in type 1 diabetes. Cell Rep 22(10):2667–2676. https://doi.org/10.1016/j.celrep.2018.02.032
doi: 10.1016/j.celrep.2018.02.032
pubmed: 29514095
pmcid: 6368357
Hart NJ, Aramandla R, Poffenberger G et al (2018) Cystic fibrosis-related diabetes is caused by islet loss and inflammation. JCI Insight 3(8):e98240. https://doi.org/10.1172/jci.insight.98240
Prentice BM, Caprioli RM (2016) The need for speed in matrix-assisted laser desorption/ionization imaging mass spectrometry. J Postdoc Res 4:3–13
van Meer G, Voelker DR, Feigenson GW (2008) Membrane lipids: where they are and how they behave. Nat Rev Mol Cell Biol 9(2):112–124. https://doi.org/10.1038/nrm2330
doi: 10.1038/nrm2330
pubmed: 18216768
pmcid: 2642958
Maedler K, Oberholzer J, Bucher P, Spinas GA, Donath MY (2003) Monounsaturated fatty acids prevent the deleterious effects of palmitate and high glucose on human pancreatic beta-cell turnover and function. Diabetes 52(3):726–733. https://doi.org/10.2337/diabetes.52.3.726
doi: 10.2337/diabetes.52.3.726
pubmed: 12606514
Dotta F, Tiberti C, Previti M et al (1993) Rat pancreatic ganglioside expression: differences between a model of autoimmune islet B cell destruction and a normal strain. Clin Immunol Immunopathol 66(2):143–149. https://doi.org/10.1006/clin.1993.1018
doi: 10.1006/clin.1993.1018
pubmed: 8453786
Dotta F, Previti R, Neerman-Arbez M et al (1998) The GM2-1 ganglioside islet autoantigen in insulin-dependent diabetes mellitus is expressed in secretory granules and is not beta-cell specific. Endocrinology 139(1):316–319. https://doi.org/10.1210/endo.139.1.5708
doi: 10.1210/endo.139.1.5708
pubmed: 9421429
Saito M, Sugiyama K (2000) A distinct ganglioside composition of rat pancreatic islets. Arch Biochem Biophys 376(2):371–376. https://doi.org/10.1006/abbi.2000.1729
doi: 10.1006/abbi.2000.1729
pubmed: 10775425
Dotta F, Colman PG, Lombardi D et al (1989) Ganglioside expression in human pancreatic islets. Diabetes 38(11):1478–1483. https://doi.org/10.2337/diab.38.11.1478
doi: 10.2337/diab.38.11.1478
pubmed: 2695376
Saito M, Ito M, Sugiyama K (1999) A specific loss of c-series gangliosides in pancreas streptozotocin-induced diabetic rats. Life Sci 64(20):1803–1810. https://doi.org/10.1016/S0024-3205(99)00122-8
doi: 10.1016/S0024-3205(99)00122-8
pubmed: 10350354
Dotta F, Peterson LB, Previti M et al (1992) Pancreatic islet ganglioside expression in nonobese diabetic mice: comparison with C57BL/10 mice and changes after autoimmune beta-cell destruction. Endocrinology 130(1):37–42. https://doi.org/10.1210/endo.130.1.1727711
doi: 10.1210/endo.130.1.1727711
pubmed: 1727711
Steiner DJ, Kim A, Miller K, Hara M (2010) Pancreatic islet plasticity interspecies comparison of islet architecture and composition. Islets 2(3):135–145. https://doi.org/10.4161/isl.2.3.11815
doi: 10.4161/isl.2.3.11815
pubmed: 20657742
Dolenšek J, Rupnik MS, Stožer A (2015) Structural similarities and differences between the human and the mouse pancreas. Islets 7(1):e1024405. https://doi.org/10.1080/19382014.2015.1024405
doi: 10.1080/19382014.2015.1024405
pubmed: 26030186
pmcid: 4589993