Summary of Study ST002328
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001492. The data can be accessed directly via it's Project DOI: 10.21228/M8VX2Q This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST002328 |
Study Title | Metabolome and transcriptome analysis of oral mucosa of HIV+ patients reveal a role for polyamine metabolic pathway in T cell dysfunction |
Study Summary | Metabolic changes of immune cells contribute to both physiological and pathophysiological outcomes of immune reactions. How viruses alter the metabolic states of mucosal T cells and the precise mechanisms underlying the persisting immune dysfunction during chronic viral infections are key questions that have not been fully addressed. Here, by comparing transcriptome and salivary metabolome profiles of the uninfected individuals and people living with HIV (PLWH) on treatment, we found a role of polyamine metabolism in immune perturbations of the oral mucosa of HIV+ patients. Flow cytometry analysis confirmed the higher expression of ornithine decarboxylase (ODC-1) and eukaryotic translation initiation factor 5A (EIF5A), the polyamine metabolism intermediates in CD4+ T cells in PLWH. Mechanistic studies using an in vitro human tonsil organoid infection model revealed that HIV infection of activated T cells also resulted in increased polyamine synthesis, which was dependent on the activities of caspase-1, IL-1β, and ODC-1. HIV-1 also led to elevated dysfunctional regulatory T cells (TregDys) /Thelper 17 (Th17) cell ratios as well as heightened expression of ODC-1, EIF5A, and hypusinated EIF5A. Blockade of caspase-1, ODC-1, and EIF5A hypusination and not HIF-1⍺ or NLRP3 reversed the frequency of TregDys showing the direct impact of polyamine pathway in Treg dysfunction during HIV-1 infection. The addition of exogenous polyamines increased TregDys percentages independent of HIV-1 infection in vitro. Finally, oral mucosal TregDys/Th17 ratios and CD4 hyperactivation positively correlated with the increases in salivary putrescine levels, which were found to be elevated in the saliva of PLWH. Thus, by revealing the role of aberrantly increased polyamine synthesis during HIV infection, our study unveils a new mechanism by which chronic viral infections could drive distinct T cell effector programs and Treg dysfunction. |
Institute | Case Western Reserve University |
Department | Biological Sciences |
Laboratory | Pushpa Pandiyan |
Last Name | Pandiyan |
First Name | Pushpa |
Address | Department of Biological Sciences, School of Dental Medicine, Case Western Reserve University, Cleveland, Ohio, 44106 |
pxp226@case.edu | |
Phone | 216-269-2939 |
Submit Date | 2022-08-29 |
Num Groups | 2 |
Total Subjects | 66 |
Num Males | 41 |
Num Females | 25 |
Publications | Under revision |
Raw Data Available | Yes |
Raw Data File Type(s) | raw(Waters) |
Analysis Type Detail | LC-MS |
Release Date | 2022-12-01 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001492 |
Project DOI: | doi: 10.21228/M8VX2Q |
Project Title: | Metabolome and transcriptome analysis of oral mucosa of HIV+ patients reveal a role for polyamine metabolic pathway in T cell dysfunction |
Project Type: | Clinical research |
Project Summary: | Metabolic changes of immune cells contribute to both physiological and pathophysiological outcomes of immune reactions. How viruses alter the metabolic states of mucosal T cells and the precise mechanisms underlying the persisting immune dysfunction during chronic viral infections are key questions that have not been fully addressed. Here, by comparing transcriptome and salivary metabolome profiles of the uninfected individuals and people living with HIV (PLWH) on treatment, we found a role of polyamine metabolism in immune perturbations of the oral mucosa of HIV+ patients. Flow cytometry analysis confirmed the higher expression of ornithine decarboxylase (ODC-1) and eukaryotic translation initiation factor 5A (EIF5A), the polyamine metabolism intermediates in CD4+ T cells in PLWH. Mechanistic studies using an in vitro human tonsil organoid infection model revealed that HIV infection of activated T cells also resulted in increased polyamine synthesis, which was dependent on the activities of caspase-1, IL-1β, and ODC-1. HIV-1 also led to elevated dysfunctional regulatory T cells (TregDys) /Thelper 17 (Th17) cell ratios as well as heightened expression of ODC-1, EIF5A, and hypusinated EIF5A. Blockade of caspase-1, ODC-1, and EIF5A hypusination and not HIF-1⍺ or NLRP3 reversed the frequency of TregDys showing the direct impact of polyamine pathway in Treg dysfunction during HIV-1 infection. The addition of exogenous polyamines increased TregDys percentages independent of HIV-1 infection in vitro. Finally, oral mucosal TregDys/Th17 ratios and CD4 hyperactivation positively correlated with the increases in salivary putrescine levels, which were found to be elevated in the saliva of PLWH. Thus, by revealing the role of aberrantly increased polyamine synthesis during HIV infection, our study unveils a new mechanism by which chronic viral infections could drive distinct T cell effector programs and Treg dysfunction. |
Institute: | Case Western Reserve University |
Department: | Biological Sciences |
Laboratory: | Pushpa Pandiyan |
Last Name: | Pandiyan |
First Name: | Pushpa |
Address: | Department of Biological Sciences, School of Dental Medicine, Case Western Reserve University, Cleveland, Ohio, 44106 |
Email: | pxp226@case.edu |
Phone: | 216-368-2939 |
Funding Source: | NIH/NIDCR RO1DE026923 |
Publications: | Under revision |
Contributors: | Mahalingam SS, Jayaraman S, Bhaskaran N, Schneider E, Faddoul F, Paes da Silva A, Lederman MM, Asaad R, Adkins-Travis K, Shriver LP, and Pandiyan P |
Subject:
Subject ID: | SU002415 |
Subject Type: | Human |
Subject Species: | Homo sapiens |
Taxonomy ID: | 9606 |
Genotype Strain: | N/A |
Age Or Age Range: | 19-75 |
Weight Or Weight Range: | N/A |
Height Or Height Range: | N/A |
Gender: | Male and female |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
mb_sample_id | local_sample_id | Treatment |
---|---|---|
SA229509 | A3g | Control |
SA229510 | A3h | Control |
SA229511 | A3f | Control |
SA229512 | A3e | Control |
SA229513 | A3d | Control |
SA229514 | A3i | Control |
SA229515 | A3j | Control |
SA229516 | A1a | Control |
SA229517 | A3n | Control |
SA229518 | A3m | Control |
SA229519 | A3l | Control |
SA229520 | A3c | Control |
SA229521 | A3k | Control |
SA229522 | A1d | Control |
SA229523 | A1f | Control |
SA229524 | A1c | Control |
SA229525 | A3b | Control |
SA229526 | A1b | Control |
SA229527 | A2a | Control |
SA229528 | A1e | Control |
SA229529 | A3a | Control |
SA229530 | A2b | Control |
SA229531 | A2f | Control |
SA229532 | A2e | Control |
SA229533 | A2d | Control |
SA229534 | A2c | Control |
SA229535 | B3p | PLWH |
SA229536 | B3r | PLWH |
SA229537 | B3o | PLWH |
SA229538 | B3q | PLWH |
SA229539 | B3m | PLWH |
SA229540 | B3k | PLWH |
SA229541 | B3s | PLWH |
SA229542 | B3l | PLWH |
SA229543 | B3n | PLWH |
SA229544 | B3z | PLWH |
SA229545 | B3aa | PLWH |
SA229546 | B3bb | PLWH |
SA229547 | B3j | PLWH |
SA229548 | B3y | PLWH |
SA229549 | B3x | PLWH |
SA229550 | B3u | PLWH |
SA229551 | B3v | PLWH |
SA229552 | B3w | PLWH |
SA229553 | B3t | PLWH |
SA229554 | B2b | PLWH |
SA229555 | B1f | PLWH |
SA229556 | B2a | PLWH |
SA229557 | B2c | PLWH |
SA229558 | B2d | PLWH |
SA229559 | B1e | PLWH |
SA229560 | B1d | PLWH |
SA229561 | B1a | PLWH |
SA229562 | B1b | PLWH |
SA229563 | B1c | PLWH |
SA229564 | B2e | PLWH |
SA229565 | B2f | PLWH |
SA229566 | B3f | PLWH |
SA229567 | B3g | PLWH |
SA229568 | B3h | PLWH |
SA229569 | B3e | PLWH |
SA229570 | B3d | PLWH |
SA229571 | B3a | PLWH |
SA229572 | B3b | PLWH |
SA229573 | B3c | PLWH |
SA229574 | B3i | PLWH |
Showing results 1 to 66 of 66 |
Collection:
Collection ID: | CO002408 |
Collection Summary: | Samples were collected in 50 mL sterile centrifuge tubes and immediately stored at −80°C. 100 μl frozen aliquots of human saliva samples were processed for metabolite extraction liquid chromatography-mass spectrometry (LC-MS) analysis commercially by Creative Proteomics. |
Collection Protocol Filename: | Collection_protocol.pdf |
Sample Type: | Saliva |
Storage Conditions: | -80℃ |
Treatment:
Treatment ID: | TR002427 |
Treatment Summary: | Samples were collected from both the healthy subjects (Control) and subjects living with HIV+ under anti-retroviral therapy (PLWH) in 50 ml sterile centrifuge tubes and immediately stored at −80°C. 100 μl frozen aliquots of human saliva samples were processed for metabolite extraction liquid chromatography-mass spectrometry (LC-MS) analysis commercially by Creative Proteomics. |
Treatment Protocol Filename: | Treatment_protocol.pdf |
Sample Preparation:
Sampleprep ID: | SP002421 |
Sampleprep Summary: | 100 μl of saliva samples were thawed, transferred to new tubes, extracted with 200 μl of 80% methanol, and vortexed for 30 seconds. Then the samples were kept at -40 °C for 1 hour, vortexed for 30 s, and centrifuged at 12000 rpm, 4 °C for 15 minutes. Finally, 200 μl of supernatant and 5 μl of DL-o-Chlorophenylalanine (1 mg/ml) were transferred to the vial for LC-MS analysis. Quality control (QC) samples were used to evaluate the methodology. The same amount of extract was obtained from each sample and mixed with QC samples. The QC sample was prepared using the same sample preparation procedure. Instrumental setup Separation was performed by Ultimate 3000LC combined with Q Exactive MS (Thermo) and screened with ESI-MS (targeted MS/MS mode). The LC system is comprised of an ACQUITY UPLC HSS T3 (100 × 2.1mm 1.8 μm) with Ultimate 3000LC. The mobile phase was composed of solvent A (0.05% formic acid-water) and solvent B (acetonitrile) with a gradient elution (0-1.0 min, 95% A; 1.0-12.0 min,95%-5% A; 12.0-13.5 min,5% A; 13.5-13.6 min, 5%-95% A; 13.6-16 min, 95% A). The flow rate of the mobile phase was 0.3 ml/min. The column temperature was maintained at 40 °C, and the sample manager temperature is set at 4 °C. Mass spectrometry parameters in ESI+ and ESI- mode are listed as follows: ESI+: Heater Temp 300 °C; Sheath Gas Flow rate, 45 arb; Aux Gas Flow Rate, 15 arb; Sweep Gas Flow Rate, 1 arb; spray voltage, 3.0 kV; Capillary Temp, 350 °C; S-Lens RF Level, 30%. ESI-: Heater Temp 300 °C, Sheath Gas Flow rate, 45 arb; Aux Gas Flow Rate, 15arb; Sweep Gas Flow Rate, 1 arb; spray voltage, 3.2 kV; Capillary Temp,350 °C; S-Lens RF Level, 60%. Bioinformatic data analysis included multivariate statistical analysis, single variable analysis, cluster analysis, and correlation network of differential metabolites. Statistically significant metabolites (FC >1.5) were integrated with differentially expressed genes obtained from the RNAseq data and the combined data was visualized with Metaboanalyst (https://www.metaboanalyst.ca/) and Cytoscape v3.8 via Metscape v3.1 plugin (https://cytoscape.org/). |
Sampleprep Protocol Filename: | Sample_preparation.pdf |
Processing Storage Conditions: | Described in summary |
Extract Storage: | Described in summary |
Combined analysis:
Analysis ID | AN003797 | AN003798 |
---|---|---|
Analysis type | MS | MS |
Chromatography type | HILIC | HILIC |
Chromatography system | Thermo Dionex Ultimate 3000 | Thermo Dionex Ultimate 3000 |
Column | Waters Acquity BEH HSS T3 (100 x 2.1mm,1.8um) | Waters Acquity BEH HSS T3 (100 x 2.1mm,1.8um) |
MS Type | ESI | ESI |
MS instrument type | Orbitrap | Orbitrap |
MS instrument name | Thermo Q Exactive Orbitrap | Thermo Q Exactive Orbitrap |
Ion Mode | POSITIVE | NEGATIVE |
Units | area | area |
Chromatography:
Chromatography ID: | CH002810 |
Methods Filename: | Chromatography_meta_data_queriesCP.pdf |
Instrument Name: | Thermo Dionex Ultimate 3000 |
Column Name: | Waters Acquity BEH HSS T3 (100 x 2.1mm,1.8um) |
Column Temperature: | 40 |
Flow Gradient: | (0-1.0 min, 95% A; 1.0-12.0 min,95%-5% A; 12.0-13.5 min,5% A; 13.5-13.6 min, 5%- 629 95% A; 13.6-16 min, 95% A |
Flow Rate: | .3 ml/min |
Injection Temperature: | 4 |
Solvent A: | 100% water; 0.05% formic acid |
Solvent B: | 100% acetonitrile |
Chromatography Type: | HILIC |
MS:
MS ID: | MS003539 |
Analysis ID: | AN003797 |
Instrument Name: | Thermo Q Exactive Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Metabolomics was performed by Creative Proteomics. Gingival cells enriched in immune cells were prepared by removing epithelial cells based on gradient centrifugation. HOIL samples from three control individuals were pooled and compared with three independent HIV+ individuals. Separation was performed by Ultimate 3000LC combined with Q Exactive MS (Thermo) and screened with ESI-MS (targeted MS/MS mode). The software we used for metabolites identification is Compound Discoverer 3.1 SP1. For metabolites identification, the raw data are acquired and aligned using the Compound Discover based on the m/z value and the retention time of the ion signals. CD software offers a fully integrated suite of advanced software tools for known-parent and unknown data processing and interpretation. It is used for the initial metabolites identification. We also use mzMine2 software (with parameters of m/z tolerance=0.1 m/z ) for the online database search based on the MS1 and MS2 spectra acquired. The database used is HMDB. |
Ion Mode: | POSITIVE |
Analysis Protocol File: | MS_Metadata.docx |
MS ID: | MS003540 |
Analysis ID: | AN003798 |
Instrument Name: | Thermo Q Exactive Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Metabolomics was performed by Creative Proteomics. Gingival cells enriched in immune cells were prepared by removing epithelial cells based on gradient centrifugation. HOIL samples from three control individuals were pooled and compared with three independent HIV+ individuals. Separation was performed by Ultimate 3000LC combined with Q Exactive MS (Thermo) and screened with ESI-MS (targeted MS/MS mode). The software we used for metabolites identification is Compound Discoverer 3.1 SP1. For metabolites identification, the raw data are acquired and aligned using the Compound Discover based on the m/z value and the retention time of the ion signals. CD software offers a fully integrated suite of advanced software tools for known-parent and unknown data processing and interpretation. It is used for the initial metabolites identification. We also use mzMine2 software (with parameters of m/z tolerance=0.1 m/z ) for the online database search based on the MS1 and MS2 spectra acquired. The database used is HMDB. |
Ion Mode: | NEGATIVE |
Analysis Protocol File: | MS_Metadata.docx |