{"title":"利用成像质谱法可视化人胃底腺粘膜鞘脂和磷脂。","authors":"Nobuya Kurabe, Hisaki Igarashi, Ippei Ohnishi, Shogo Tajima, Yusuke Inoue, Yoshihiko Takahashi, Mitsutoshi Setou, Haruhiko Sugimura","doi":"10.4291/wjgp.v7.i2.235","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>To analyze the lipid distribution in gastric mucosae.</p><p><strong>Methods: </strong>Imaging mass spectrometry (MS) is a useful tool to survey the distribution of biomolecules in surgical specimens. Here we used the imaging MS apparatus named iMScope to identify the dominant molecules present in the human gastric mucosa near the fundic glands. Five gastric specimens were subjected to iMScope analysis. These specimens were also analyzed by immunohistochemistry using MUC5AC, H(+)-K(+)-ATPaseβ Claudin18 antibodies.</p><p><strong>Results: </strong>Three major molecules with m/z 725.5, 780.5, and 782.5 detected in the gastric mucosa were identified as sphingomyelin (SM) (d18:1/16:0), phosphatidylcholine (PC) (16:0/18:2), and PC (16:0/18:1), respectively, through MS/MS analyses. Using immunohistological staining, SM (d18:1/16:0) signals were mainly co-localized with the foveolar epithelium marker MUC5AC. In contrast, PC (16:0/18:2) signals were observed in the region testing positive for the fundic gland marker H(+)-K(+)-ATPaseβ. PC (16:0/18:1) signals were uniformly distributed throughout the mucosa.</p><p><strong>Conclusion: </strong>Our basic data will contribute to the studies of lipid species in physical and pathological conditions of the human stomach.</p>","PeriodicalId":23760,"journal":{"name":"World Journal of Gastrointestinal Pathophysiology","volume":"7 2","pages":"235-41"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867403/pdf/WJGP-7-235.pdf","citationCount":"13","resultStr":"{\"title\":\"Visualization of sphingolipids and phospholipids in the fundic gland mucosa of human stomach using imaging mass spectrometry.\",\"authors\":\"Nobuya Kurabe, Hisaki Igarashi, Ippei Ohnishi, Shogo Tajima, Yusuke Inoue, Yoshihiko Takahashi, Mitsutoshi Setou, Haruhiko Sugimura\",\"doi\":\"10.4291/wjgp.v7.i2.235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aim: </strong>To analyze the lipid distribution in gastric mucosae.</p><p><strong>Methods: </strong>Imaging mass spectrometry (MS) is a useful tool to survey the distribution of biomolecules in surgical specimens. Here we used the imaging MS apparatus named iMScope to identify the dominant molecules present in the human gastric mucosa near the fundic glands. Five gastric specimens were subjected to iMScope analysis. These specimens were also analyzed by immunohistochemistry using MUC5AC, H(+)-K(+)-ATPaseβ Claudin18 antibodies.</p><p><strong>Results: </strong>Three major molecules with m/z 725.5, 780.5, and 782.5 detected in the gastric mucosa were identified as sphingomyelin (SM) (d18:1/16:0), phosphatidylcholine (PC) (16:0/18:2), and PC (16:0/18:1), respectively, through MS/MS analyses. Using immunohistological staining, SM (d18:1/16:0) signals were mainly co-localized with the foveolar epithelium marker MUC5AC. In contrast, PC (16:0/18:2) signals were observed in the region testing positive for the fundic gland marker H(+)-K(+)-ATPaseβ. PC (16:0/18:1) signals were uniformly distributed throughout the mucosa.</p><p><strong>Conclusion: </strong>Our basic data will contribute to the studies of lipid species in physical and pathological conditions of the human stomach.</p>\",\"PeriodicalId\":23760,\"journal\":{\"name\":\"World Journal of Gastrointestinal Pathophysiology\",\"volume\":\"7 2\",\"pages\":\"235-41\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867403/pdf/WJGP-7-235.pdf\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World Journal of Gastrointestinal Pathophysiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4291/wjgp.v7.i2.235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Journal of Gastrointestinal Pathophysiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4291/wjgp.v7.i2.235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualization of sphingolipids and phospholipids in the fundic gland mucosa of human stomach using imaging mass spectrometry.
Aim: To analyze the lipid distribution in gastric mucosae.
Methods: Imaging mass spectrometry (MS) is a useful tool to survey the distribution of biomolecules in surgical specimens. Here we used the imaging MS apparatus named iMScope to identify the dominant molecules present in the human gastric mucosa near the fundic glands. Five gastric specimens were subjected to iMScope analysis. These specimens were also analyzed by immunohistochemistry using MUC5AC, H(+)-K(+)-ATPaseβ Claudin18 antibodies.
Results: Three major molecules with m/z 725.5, 780.5, and 782.5 detected in the gastric mucosa were identified as sphingomyelin (SM) (d18:1/16:0), phosphatidylcholine (PC) (16:0/18:2), and PC (16:0/18:1), respectively, through MS/MS analyses. Using immunohistological staining, SM (d18:1/16:0) signals were mainly co-localized with the foveolar epithelium marker MUC5AC. In contrast, PC (16:0/18:2) signals were observed in the region testing positive for the fundic gland marker H(+)-K(+)-ATPaseβ. PC (16:0/18:1) signals were uniformly distributed throughout the mucosa.
Conclusion: Our basic data will contribute to the studies of lipid species in physical and pathological conditions of the human stomach.