Dataset Information

Specialized pro-resolving mediator lipidome and 16S rRNA bacterial microbiome data associated with human chronic rhinosinusitis.

ABSTRACT: Chronic rhinosinusitis (CRS) is a clinical syndrome defined by symptoms including nasal congestion, facial pain and pressure, anosmia, and rhinorrhea lasting more than 12 weeks. Several mechanistically distinct processes lead to the development of clinical symptoms in CRS including innate immune dysfunction, dysregulated eicosanoid metabolism and perturbations in host-microbiome interactions [1]. We developed a database comprised of patient demographic information, lipid mediator metabolomic profiles, and 16S bacterial rRNA gene sequence data from 66 patients undergoing endoscopic sinus surgery. Briefly, ethmoid sinus tissue and middle meatal swabs were collected from patients, including non-CRS controls, CRS with polyps (CRSwNP), and CRS without polyps (CRSsNP). Lipid mediator pathways from arachidonic acid (AA) and docosahexanoic acid (DHA) were analyzed by liquid chromatography/tandem mass spectrometry. Bacterial taxa were profiled in parallel by 16S rRNA gene sequencing. This database provides a useful compendium of AA/DHA metabolomic profiles and associated bacterial microbiota in patients with varying disease subtypes, demographics, and risk factors/comorbidities.

SUBMITTER: Vickery TW

PROVIDER: S-EPMC8076692 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Specialized pro-resolving mediator lipidome and 16S rRNA bacterial microbiome data associated with human chronic rhinosinusitis.

Vickery Thad W TW Armstrong Michael M Kofonow Jennifer M JM Robertson Charles E CE Kroehl Miranda E ME Reisdorph Nichole A NA Ramakrishnan Vijay R VR Frank Daniel N DN

Data in brief 20210401

Chronic rhinosinusitis (CRS) is a clinical syndrome defined by symptoms including nasal congestion, facial pain and pressure, anosmia, and rhinorrhea lasting more than 12 weeks. Several mechanistically distinct processes lead to the development of clinical symptoms in CRS including innate immune dysfunction, dysregulated eicosanoid metabolism and perturbations in host-microbiome interactions [1]. We developed a database comprised of patient demographic information, lipid mediator metabolomic pro ...[more]

PMID: 33937456

Similar Datasets

Project description:Failure of resolution pathways in periodontitis is reflected in levels of specialized pro-resolving lipid mediators (SPMs) and SPM pathway markers but their relationship with the subgingival microbiome is unclear. This study aimed to analyze and integrate lipid mediator level, SPM receptor gene expression and subgingival microbiome data in subjects with periodontitis vs. healthy controls. The study included 13 periodontally healthy and 15 periodontitis subjects that were evaluated prior to or after non-surgical periodontal therapy. Samples of gingival tissue and subgingival plaque were collected prior to and 8 weeks after non-surgical treatment; only once in the healthy group. Metabololipidomic analysis was performed to measure levels of SPMs and other relevant lipid mediators in gingiva. qRT-PCR assessed relative gene expression (2-ΔΔCT) of known SPM receptors. 16S rRNA sequencing evaluated the relative abundance of bacterial species in subgingival plaque. Correlations between lipid mediator levels, receptor gene expression and bacterial abundance were analyzed using the Data Integration Analysis for Biomarker discovery using Latent cOmponents (DIABLO) and Sparse Partial Least Squares (SPLS) methods. Profiles of lipid mediators, receptor genes and the subgingival microbiome were distinct in the three groups. The strongest correlation existed between lipid mediator profile and subgingival microbiome profile. Multiple lipid mediators and bacterial species were highly correlated (correlation coefficient ≥0.6) in different periodontal conditions. Comparing individual correlated lipid mediators and bacterial species in periodontitis before treatment to healthy controls revealed that one bacterial species, Corynebacterium durum, and five lipid mediators, 5(S)6(R)-DiHETE, 15(S)-HEPE, 7-HDHA, 13-HDHA and 14-HDHA, were identified in both conditions. Comparing individual correlated lipid mediators and bacterial species in periodontitis before treatment to after treatment revealed that one bacterial species, Anaeroglobus geminatus, and four lipid mediators, 5(S)12(S)-DiHETE, RvD1, Maresin 1 and LTB4, were identified in both conditions. Four Selenomonas species were highly correlated with RvD1, RvE3, 5(S)12(S)-DiHETE and proinflammatory mediators in the periodontitis after treatment group. Profiles of lipid mediators, receptor gene and subgingival microbiome are associated with periodontal inflammation and correlated with each other, suggesting inflammation mediated by lipid mediators influences microbial composition in periodontitis. The role of correlated individual lipid mediators and bacterial species in periodontal inflammation have to be further studied.

Dataset Information

Specialized pro-resolving mediator lipidome and 16S rRNA bacterial microbiome data associated with human chronic rhinosinusitis.

Publications

Specialized pro-resolving mediator lipidome and 16S rRNA bacterial microbiome data associated with human chronic rhinosinusitis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets