Dihydroetorphine

16-(2-hydroxypentan-2-yl)-15-methoxy-3-methyl-13-oxa-3-azahexacyclo[13.2.2.1^{2,8}.0^{1,6}.0^{6,14}.0^{7,12}]icosa-7,9,11-trien-11-ol

Formula: C25H35NO4 (413.2566)
Chinese Name:
BioDeep ID: BioDeep_00000178300 ( View LC/MS Profile)
SMILES: CCCC(C)(C1CC23CCC1(C4C25CCN(C3CC6=C5C(=C(C=C6)O)O4)C)OC)O



Found 6 Sample Hits

m/z Adducts Species Organ Scanning Sample
413.2818 [M-H2O+NH4]+
PPM:4.7
Rattus norvegicus Epididymis MALDI (DHB)
epik_dhb_head_ito03_18 - MTBLS58
Resolution: 17μm, 208x104

Description

413.2822 [M-H2O+NH4]+
PPM:5.7
Rattus norvegicus Epididymis MALDI (DHB)
epik_dhb_head_ito01_03 - MTBLS58
Resolution: 17μm, 159x110

Description

413.2804 [M-H2O+NH4]+
PPM:1.3
Rattus norvegicus Epididymis MALDI (DHB)
epik_dhb_head_ito01_06 - MTBLS58
Resolution: 17μm, 183x103

Description

414.2686 [M+H]+
PPM:11.4
Mus musculus Lung MALDI (DHB)
image3 - MTBLS2075
Resolution: 40μm, 146x190

Description

Fig. 4 MALDI-MSI data of mouse lung tissue after administration with D9-choline and U13C-DPPC–containing Poractant alfa surfactant (labels administered 12 h prior to tissue collection). Ion images of (A) m/z 796.6856 ([U13C-DPPC+Na]+), (B) m/z 756.5154 [PC32:0+Na]+), and (C) m/z 765.6079 ([D9-PC32:0+Na]+). D: Overlay image of [U13C-PC32:0+Na]+ (red) and [D9-PC32:0+Na]+ (green). Part-per-million (ppm) mass errors are indicated in parentheses. All images were visualized using total-ion-current normalization and using hotspot removal (high quantile = 99%). DPPC = PC16:0/16:0. MSI, mass spectrometry imaging; PC, phosphatidylcholine; U13C-DPPC, universally 13C-labeled dipalmitoyl PC.

414.2687 [M+H]+
PPM:11.7
Mus musculus Lung MALDI (DHB)
image4 - MTBLS2075
Resolution: 40μm, 162x156

Description

Fig 6c Fig. 6 MALDI-MSI of U13C-PC16:0/16:0 acyl chain remodeling. A: Averaged MALDI mass spectrum from lung tissue collected from mice euthanized 12 h after administration of D9-choline and U13C-DPPC–containing Poractant alfa surfactant. The ion at m/z 828.6321 is assigned as the [M+Na]+ ion of 13C24-PC16:0_20:4 formed by acyl remodeling of U13C-PC16:0/16:0. The “NL” value refers to the intensity of the base peak in the full range MS1 spectrum. B: MS/MS spectrum of precursor ions at m/z 828.5 ± 0.5 with fragment ions originating from [13C24-PC16:0_20:4+Na]+ annotated. Part-per-million (ppm) mass errors are provided in parentheses. C, D: MALDI-MSI data of [U13C-DPPC+Na]+ (blue), [PC36:4+Na]+ (green) and [13C24-PC16:0_20:4+Na]+ (red) in lung tissue collected from mice (C) 12 h and (D) 18 h after label administration. All images were visualized using total-ion-current normalization and hotspot removal (high quantile = 99%). MS/MS, tandem mass spectrometry; MSI, mass spectrometry imaging; PC, phosphatidylcholine; U13C-DPPC, universally 13C-labeled dipalmitoyl PC.

413.279 [M-H2O+NH4]+
PPM:2.1
Mus musculus Liver MALDI (CHCA)
Salmonella_final_pos_recal - MTBLS2671
Resolution: 17μm, 691x430

Description

A more complete and holistic view on host–microbe interactions is needed to understand the physiological and cellular barriers that affect the efficacy of drug treatments and allow the discovery and development of new therapeutics. Here, we developed a multimodal imaging approach combining histopathology with mass spectrometry imaging (MSI) and same section imaging mass cytometry (IMC) to study the effects of Salmonella Typhimurium infection in the liver of a mouse model using the S. Typhimurium strains SL3261 and SL1344. This approach enables correlation of tissue morphology and specific cell phenotypes with molecular images of tissue metabolism. IMC revealed a marked increase in immune cell markers and localization in immune aggregates in infected tissues. A correlative computational method (network analysis) was deployed to find metabolic features associated with infection and revealed metabolic clusters of acetyl carnitines, as well as phosphatidylcholine and phosphatidylethanolamine plasmalogen species, which could be associated with pro-inflammatory immune cell types. By developing an IMC marker for the detection of Salmonella LPS, we were further able to identify and characterize those cell types which contained S. Typhimurium. [dataset] Nicole Strittmatter. Holistic Characterization of a Salmonella Typhimurium Infection Model Using Integrated Molecular Imaging, metabolights_dataset, V1; 2022. https://www.ebi.ac.uk/metabolights/MTBLS2671.