<HashMap><database>MetaboLights</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Tabular>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155/m_MTBLS13155_LC-MS_negative_reverse-phase_metabolite_profiling_v2_maf.tsv</Tabular><Tabular>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155/m_MTBLS13155_LC-MS_negative_hilic_metabolite_profiling_v2_maf.tsv</Tabular><Tabular>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155/m_MTBLS13155_LC-MS_positive_hilic_metabolite_profiling_v2_maf.tsv</Tabular><Tabular>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155/m_MTBLS13155_LC-MS_positive_reverse-phase_metabolite_profiling_v2_maf.tsv</Tabular><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155/a_MTBLS13155_LC-MS_negative_reverse-phase_metabolite_profiling.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155/a_MTBLS13155_LC-MS_positive_reverse-phase_metabolite_profiling.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155/a_MTBLS13155_LC-MS_negative_hilic_metabolite_profiling.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155/i_Investigation.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155/s_MTBLS13155.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155/a_MTBLS13155_LC-MS_positive_hilic_metabolite_profiling.txt</Txt></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><ftp_download_link>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13155</ftp_download_link><metabolite_identification_protocol>&lt;p>The raw data obtained by ultra-high performance liquid chromatography tandem high-resolution mass spectrometer was processed using Thermo's commercial small molecule metabolite analysis software Compound Discoverer 3.1. The processing includes chromatographic peak identification, peak retention time correction, and peak alignment to obtain the retention time, accurate mass to charge ratio, and standardized peak area of the corresponding metabolites. Based on the obtained primary and secondary mass spectrometry parameters of the compounds, metabolites were identified using databases Human Metabolome Database (HMDB), and KEGG.&lt;/p></metabolite_identification_protocol><repository>MetaboLights</repository><study_status>Public</study_status><ptm_modification></ptm_modification><instrument_platform>Liquid Chromatography MS - negative - reverse phase</instrument_platform><instrument_platform>Liquid Chromatography MS - positive - HILIC</instrument_platform><instrument_platform>Liquid Chromatography MS - negative - HILIC</instrument_platform><instrument_platform>Liquid Chromatography MS - positive - reverse phase</instrument_platform><chromatography_protocol>&lt;p>C18 column, positive ion mode:&lt;/p>&lt;p>Chromatography column: ACQUITY UPLC BEH C18 (2.1 mm × 100 mm, 1.7 μm), column temperature 30℃; mobile phase A is 0.1% formic acid water, mobile phase B is acetonitrile, flow rate is 0.25 mL/min, injection volume is 2 μ L, and one quality control sample is added to every 10 samples. The gradient elution procedure is: 0-1.5 min, 5% B; 1.5-5.5 min, 5% B to 30% B, 5.5-10 min, 30% B to 60% B, 10-10.5 min, 60% B to 98% B, 10.5-14.5 min, 98% B, 14.5-15 min, 98% B to 5% B; 15-20 min, 5% B.&lt;/p>&lt;p>C18 column, negative ion mode:&lt;/p>&lt;p>Chromatography column: ACQUITY UPLC BEH C18 (2.1 mm × 100 mm, 1.7 μm), column temperature 30 ℃; mobile phase A is a 5 mmol/L ammonium acetate aqueous solution containing 0.1% ammonia water, mobile phase B is acetonitrile, and the flow rate is 0.25 mL/min. The injection volume is 2 μL, and one quality control sample is added to every 10 samples. The gradient elution procedure is: 0-1.5 min, 5% B; 1.5-5.5 min, 5% B to 30% B, 5.5-10 min, 30% B to 60% B, 10-10.5 min, 60% B to 98% B, 10.5-14.5 min, 98% B, 14.5-15 min, 98% B to 5% B; 15-20 min, 5% B.&lt;/p>&lt;p>HILIC column, positive ion mode:&lt;/p>&lt;p>Chromatography column: ACQUITY UPLC BEH HILIC (2.1 mm × 100 mm, 1.7 μm), column temperature 30℃; mobile phase A is 0.1% formic acid water, mobile phase B is acetonitrile, flow rate is 0.25 mL/min, injection volume is 2 μL, and one quality control sample is added to every 10 samples. The gradient elution procedure is: 0-1.5 min, 95% B; 1.5-5.5 min, 95% B to 70% B, 5.5-10 min, 70% B to 50% B, 10-10.5 min, 50% B to 35% B, 10.5-14.5 min, 35% B, 14.5-17.5 min, 35% B to 95% B; 17.5-20 min, 95% B.&lt;/p>&lt;p>HILIC column, negative ion mode:&lt;/p>&lt;p>Chromatography column: ACQUITY UPLC BEH HILIC (2.1 mm × 100 mm, 1.7 μm), column temperature 30℃; mobile phase A is a 5 mmol/L ammonium acetate aqueous solution containing 0.1% ammonia water, mobile phase B is acetonitrile, flow rate is 0.25 mL/min, injection volume is 2 μL, and one quality control sample is added to every 10 samples. The gradient elution procedure is: 0-1.5 min, 95% B; 1.5-5.5 min, 95% B to 70% B, 5.5-10 min, 70% B to 50% B, 10-10.5 min, 50% B to 35% B, 10.5-14.5 min, 35% B, 14.5-17.5 min, 35% B to 95% B; 17.5-20 min, 95% B.&lt;/p></chromatography_protocol><publication>Human gut microbiota and plasma metabolomics in Mn-glucose metabolism.</publication><submitter_affiliation>Huazhong University of Science and Technology</submitter_affiliation><submitter_name>liegang liu</submitter_name><organism_part>blood plasma</organism_part><organism_part>Pooled Sample</organism_part><organism_part>Solvent</organism_part><technology_type>mass spectrometry</technology_type><disease></disease><extraction_protocol>&lt;p>Thaw the sample at 4℃ and transfer 100 μL of plasma sample into a 1.5 mL EP tube;&lt;/p>&lt;p>Add 300 μL of methanol pre cooled at -80℃, vortex thoroughly, and perform protein precipitation;&lt;/p>&lt;p>Pre cool the centrifuge to 4℃ and centrifuge at 15000 g for 15 minutes;&lt;/p>&lt;p>Transfer all supernatant as much as possible into a new 1.5 mL EP tube;&lt;/p>&lt;p>Blow nitrogen or freeze dry the EP tube containing the supernatant to dryness;&lt;/p>&lt;p>Dissolve 100 μL of methanol aqueous solution (8:2, V/V), vortex thoroughly, centrifuge at 14000 g for 10 minutes;&lt;/p>&lt;p>Divide the supernatant evenly into four injection bottles and prepare for use on the machine.&lt;/p></extraction_protocol><organism>solvent blank</organism><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS13155</full_dataset_link><author>Liegang Liu. Huazhong University of Science and Technology. lgliu@mails.tjmu.edu.cn.</author><author>Zhao Peng. 15629089940@163.com.</author><data_transformation_protocol>&lt;p>MSConvert software were used to transform the raw data to mzML format and then compress these mzML files.&lt;/p></data_transformation_protocol><study_factor>Plasma manganese level</study_factor><submitter_email>lgliu@mails.tjmu.edu.cn</submitter_email><sample_collection_protocol>&lt;p>After an overnight fast (10-12 hours), venous blood samples of the research individuals were collected by clinic nurse in tubes containing the anticoagulant for plasma separation. Then, the blood collection tubes were gently inverted 180 degrees for 5 to 8 times. The anticoagulated whole blood samples were left to stand at room temperature for 30 minutes and then centrifuged at 1500 g for 15 minutes. Finally, the plasma samples were seperated in 1.5 mL Eppendorf centrifuge tubes and stored at -80℃.&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>glucose metabolism trait</study_design><study_design>untargeted metabolites</study_design><study_design>Plasma manganese level</study_design><study_design>human gut metagenome</study_design><curator_keywords>glucose metabolism trait</curator_keywords><curator_keywords>untargeted metabolites</curator_keywords><curator_keywords>Plasma manganese level</curator_keywords><curator_keywords>human gut metagenome</curator_keywords><mass_spectrometry_protocol>&lt;p>Based on the Thermo Q Active Plus orbital ion trap high-resolution mass spectrometer, the electrospray ion source ion mode is adopted: sheath gas flow rate is 45 ambient units, and auxiliary gas flow rate is 10 ambient units; The mass spectrometry scanning range is 70-1000 m/z; The nozzle voltage is set to 4.2 kV; the ion source temperature is 350℃. The first level data acquisition adopts high-resolution Fourier transform mode with a resolution of 70000; The secondary data collection adopts a data dependency mode with a resolution of 17500; The dynamic exclusion time is 6 seconds; the fragmentation method adopts high energy collision dissociation (HCD), and the collision energy is selected according to different metabolites at 20%, 40%, and 70%.&lt;/p></mass_spectrometry_protocol></additional><is_claimable>false</is_claimable><name>Human gut microbiota and plasma metabolomics in Mn-glucose metabolism correlation</name><description>&lt;p>Previous epidemiological and laboratorial studies have demonstrated a close relationship between plasma manganese (Mn) levels and type 2 diabetes (T2D), however, the underlying mechanism remains undisclosed. In this study, we employed a comprehensive approach that integrated fecal 16S rRNA sequencing, plasma untargeted metabolomics as well as Mendelian randomization (MR) analysis in a community-based population to identify the key gut microbiota taxa and plasma metabolites involved in the correlation between Mn and glucose metabolism. We observed a significant negative correlation between plasma Mn concentrations and fasting plasma glucose (FPG) levels. The relative abundance of Prevotella genus showed a stepwise increase from the lowest to the highest Mn tertiles. Moreover, the plasma hypoxanthine levels were positively associated with the abundance of Prevotella while inversely linked to FPG levels. MR analysis further confirmed a negative causal relationship between Prevotella_7 and diabetes (OR = −0.312, 95% CI: −0.575 to −0.050, PIVW = 0.02), which aligned with the associations among Prevotella, hypoxanthine and FPG. Collectively, our findings suggested a novel “Mn-Prevotella-hypoxanthine” axis linking plasma Mn levels to glucose metabolism, offering promising mechanism insights into trace element-glucose metabolism and potential strategies for glycemic control.&lt;/p></description><dates><publication>2025-12-14</publication><submission>2025-10-17</submission></dates><accession>MTBLS13155</accession><cross_references/></HashMap>