Summary of Study ST004259

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 PR002687. The data can be accessed directly via it's Project DOI: 10.21228/M8B85N This work is supported by NIH grant, U2C- DK119886. See: https://www.metabolomicsworkbench.org/about/howtocite.php

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Study IDST004259
Study TitlePhytate enhances gut Parasutterella colonization to alleviate radiation injury via anti-inflammatory and antioxidant effects
Study SummaryFood as medicine shows promise for disease intervention or treatment. Here, we found phytate, an active ingredient of plant-based diets, exhibits properties in mitigating radiotherapy-related complications. Oral gavage of phytate restored hematogenic organ atrophy, elevated peripheral blood neutrophils and white blood cells, reduced inflammation, and improved gastrointestinal (GI) integrity in irradiated mice. Phytate intake modulated the gut microbiota, facilitating the colonization of symbiotic Parasutterella in GI tract, thus combating intestinal radiation toxicity. In vitro assays and untargeted metabolomics identified 3-Phenyllactic acid (PLA) and N-Acetyl-L-leucine (NL) as functional metabolites produced by Parasutterella. In vitro, ex vivo, and in vivo models showed that PLA induces M2-like polarization in macrophages, while NL reduced oxidative stress, both counteracting radiation toxicity and working synergistically. Our findings offer mechanistic insights into phytate for alleviating radiation-associated complications and suggest that Parasutterella and its metabolites might be employed as promising probiotics or postbiotics for cancer patients with radiotherapy.
Institute
Chinese Academy of Medical Sciences
Last NameLi
First NameYuan
AddressBaidi Road, Tianjin, Tianjin, 300192, China
Emailliyuan@irm-cams.ac.cn
Phone+8615900383739
Submit Date2025-09-29
Raw Data AvailableYes
Raw Data File Type(s)raw(Thermo)
Analysis Type DetailLC-MS
Release Date2025-10-28
Release Version1
Yuan Li Yuan Li
https://dx.doi.org/10.21228/M8B85N
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR002687
Project DOI:doi: 10.21228/M8B85N
Project Title:Phytate enhances gut Parasutterella colonization to alleviate radiation injury via anti-inflammatory and antioxidant effects
Project Summary:Food as medicine shows promise for disease intervention or treatment. Here, we found phytate, an active ingredient of plant-based diets, exhibits properties in mitigating radiotherapy-related complications. Oral gavage of phytate restored hematogenic organ atrophy, elevated peripheral blood neutrophils and white blood cells, reduced inflammation, and improved gastrointestinal (GI) integrity in irradiated mice. Phytate intake modulated the gut microbiota, facilitating the colonization of symbiotic Parasutterella in GI tract, thus combating intestinal radiation toxicity. In vitro assays and untargeted metabolomics identified 3-Phenyllactic acid (PLA) and N-Acetyl-L-leucine (NL) as functional metabolites produced by Parasutterella. In vitro, ex vivo, and in vivo models showed that PLA induces M2-like polarization in macrophages, while NL reduced oxidative stress, both counteracting radiation toxicity and working synergistically. Our findings offer mechanistic insights into phytate for alleviating radiation-associated complications and suggest that Parasutterella and its metabolites might be employed as promising probiotics or postbiotics for cancer patients with radiotherapy.
Institute:Chinese Academy of Medical Sciences
Last Name:Li
First Name:Yuan
Address:Baidi Road, Tianjin, Tianjin, 300192, China
Email:liyuan@irm-cams.ac.cn
Phone:+8615900383739

Subject:

Subject ID:SU004412
Subject Type:Bacteria
Subject Species:Homo sapiens
Taxonomy ID:9606

Factors:

Subject type: Bacteria; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Treatment Sample source
SA496928PE0h-6Sample collection after 0h of cultivation Culture supernatant
SA496929PE0h-2Sample collection after 0h of cultivation Culture supernatant
SA496930PE0h-1Sample collection after 0h of cultivation Culture supernatant
SA496931PE0h-5Sample collection after 0h of cultivation Culture supernatant
SA496932PE0h-4Sample collection after 0h of cultivation Culture supernatant
SA496933PE0h-3Sample collection after 0h of cultivation Culture supernatant
SA496934PE24h-1Sample collection after 24h of cultivation Culture supernatant
SA496935PE24h-2Sample collection after 24h of cultivation Culture supernatant
SA496936PE24h-3Sample collection after 24h of cultivation Culture supernatant
SA496937PE24h-4Sample collection after 24h of cultivation Culture supernatant
SA496938PE24h-5Sample collection after 24h of cultivation Culture supernatant
SA496939PE24h-6Sample collection after 24h of cultivation Culture supernatant
SA496940PE6h-1Sample collection after 6h of cultivation Culture supernatant
SA496941PE6h-2Sample collection after 6h of cultivation Culture supernatant
SA496942PE6h-3Sample collection after 6h of cultivation Culture supernatant
SA496943PE6h-5Sample collection after 6h of cultivation Culture supernatant
SA496944PE6h-6Sample collection after 6h of cultivation Culture supernatant
SA496945PE6h-4Sample collection after 6h of cultivation Culture supernatant
Showing results 1 to 18 of 18

Collection:

Collection ID:CO004405
Collection Summary:Culture supernatants of Parasutterella excrementihominis (DSM 21040) were collected at 0, 6, and 24 hours, followed by centrifugation at 3000 rpm for 10 minutes at 4ºC. The samples were then rapidly frozen in liquid nitrogen for 15 minutes and stored at -80ºC until further use.
Sample Type:Media

Treatment:

Treatment ID:TR004421
Treatment Summary:Not applicable

Sample Preparation:

Sampleprep ID:SP004418
Sampleprep Summary:The samples (1 mL) were freeze-dried and resuspended with prechilled 80% methanol by well vortex. Then the samples were incubated on ice for 5 min and centrifuged at 15,000 g, 4°C for 15 min. Some of supernatant was diluted to final concentration containing 53% methanol by LC-MS grade water. The samples were subsequently transferred to a fresh Eppendorf tube and were centrifuged at 15000 g, 4°C for 15 min. Finally, the supernatant was injected into the LC-MS/MS system analysis.

Combined analysis:

Analysis ID AN007087 AN007088
Chromatography ID CH005384 CH005385
MS ID MS006784 MS006785
Analysis type MS MS
Chromatography type Reversed phase Reversed phase
Chromatography system Thermo Vanquish Thermo Vanquish
Column Thermo Hypersil GOLD aQ (100 x 2.1 mm, 1.9 μm) Thermo Hypersil GOLD aQ (100 x 2.1 mm,1.9 μm)
MS Type ESI ESI
MS instrument type Orbitrap Orbitrap
MS instrument name Thermo Q Exactive HF hybrid Orbitrap Thermo Q Exactive HF hybrid Orbitrap
Ion Mode POSITIVE NEGATIVE
Units Peak area Peak area

Chromatography:

Chromatography ID:CH005384
Instrument Name:Thermo Vanquish
Column Name:Thermo Hypersil GOLD aQ (100 x 2.1 mm, 1.9 μm)
Column Temperature:40°C
Flow Gradient:2%B, 1.5 min;2-85% B, 3 min; 85-100% B, 10 min;100-2% B, 10.1 min;2%B, 12 min.
Flow Rate:0.2 mL/min
Solvent A:100% Water; 0.1% Formic acid
Solvent B:100% Methanol
Chromatography Type:Reversed phase
  
Chromatography ID:CH005385
Instrument Name:Thermo Vanquish
Column Name:Thermo Hypersil GOLD aQ (100 x 2.1 mm,1.9 μm)
Column Temperature:40°C
Flow Gradient:2%B, 1.5 min;2-85% B, 3 min; 85-100% B, 10 min;100-2% B, 10.1 min;2%B, 12 min.
Flow Rate:0.2 mL/min
Solvent A:100% Water; 5 mM Ammonium acetate, pH9.0
Solvent B:100% Methanol
Chromatography Type:Reversed phase

MS:

MS ID:MS006784
Analysis ID:AN007087
Instrument Name:Thermo Q Exactive HF hybrid Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:The raw data files generated by UHPLC-MS/MS were processed using the Compound Discoverer 3.1 (CD3.1, ThermoFisher) to perform peak alignment, peak picking, and quantitation for each metabolite. The main parameters were set as follows: retention time tolerance, 0.2 minutes; actual mass tolerance, 5ppm; signal intensity tolerance, 30%; signal/noise ratio, 3; and minimum intensity, et al. After that, peak intensities were normalized to the total spectral intensity. The normalized data was used to predict the molecular formula based on additive ions, molecular ion peaks and fragment ions. And then peaks were matched with the mzCloud(https://www.mzcloud.org/),mzVault and Mass List database to obtain the accurate qualitative and relative quantitative results. Statistical analyses were performed using the statistical software R (R version R-3.4.3), Python (Python 2.7.6 version) and CentOS (CentOS release 6.6), When data were not normally distributed, standardize according to the formula: sample raw quantitation value / (The sum of sample metabolite quantitation value / The sum of QC1 sample metabolite quantitation value)to obtain relative peak areas; And compounds whose CVs of relative peak areas in QC samples were greater than 30% were removed, and finally the metabolites' identification and relative quantification results were obtained.
Ion Mode:POSITIVE
  
MS ID:MS006785
Analysis ID:AN007088
Instrument Name:Thermo Q Exactive HF hybrid Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:The raw data files generated by UHPLC-MS/MS were processed using the Compound Discoverer 3.1 (CD3.1, ThermoFisher) to perform peak alignment, peak picking, and quantitation for each metabolite. The main parameters were set as follows: retention time tolerance, 0.2 minutes; actual mass tolerance, 5ppm; signal intensity tolerance, 30%; signal/noise ratio, 3; and minimum intensity, et al. After that, peak intensities were normalized to the total spectral intensity. The normalized data was used to predict the molecular formula based on additive ions, molecular ion peaks and fragment ions. And then peaks were matched with the mzCloud(https://www.mzcloud.org/),mzVault and Mass List database to obtain the accurate qualitative and relative quantitative results. Statistical analyses were performed using the statistical software R (R version R-3.4.3), Python (Python 2.7.6 version) and CentOS (CentOS release 6.6), When data were not normally distributed, standardize according to the formula: sample raw quantitation value / (The sum of sample metabolite quantitation value / The sum of QC1 sample metabolite quantitation value)to obtain relative peak areas; And compounds whose CVs of relative peak areas in QC samples were greater than 30% were removed, and finally the metabolites' identification and relative quantification results were obtained.
Ion Mode:NEGATIVE
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