<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/MTBLS13009/m_MTBLS13009_GC-MS_positive__metabolite_profiling_v2_maf.tsv</Tabular><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/s_MTBLS13009.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/a_MTBLS13009_GC-MS_positive__metabolite_profiling.txt</Txt><Txt>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/i_Investigation.txt</Txt><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/NCD_CGA1.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/HFD4.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/NCD4.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/NCD3.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/HFD_CGA1.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/HFD_CGA2.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/NCD_CGA4.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/HFD5.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/NCD_CGA5.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/NCD2.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/NCD_CGA3.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/HFD_CGA3.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/HFD2.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/NCD1.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/HFD1.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/HFD_CGA4.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/HFD3.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/HFD_CGA5.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/NCD_CGA2.mzXML</Mzxml><Mzxml>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009/FILES/DERIVED_FILES/NCD5.mzXML</Mzxml></files><type>primary</type></body><statusCodeValue>200</statusCodeValue><statusCode>OK</statusCode></file_versions><scores/><additional><ftp_download_link>ftp://ftp.ebi.ac.uk/pub/databases/metabolights/studies/public/MTBLS13009</ftp_download_link><metabolite_identification_protocol>&lt;p>Using Shimadzu's workstation, the LECO database was selected for qualitative peak identification, followed by further comparison based on retention time and mass-to-charge ratio, and finally, integration calculations were performed.&lt;/p></metabolite_identification_protocol><repository>MetaboLights</repository><study_status>Public</study_status><ptm_modification></ptm_modification><instrument_platform>Gas Chromatography MS - positive</instrument_platform><chromatography_protocol>&lt;p>The derivatized samples were then subjected to GC–MS analysis.&amp;nbsp;Samples were analyzed using GC–MS-TQ8040NX (Shimadzu, Kyoto, Japan) equipped with an Agilent DB-5MS column (30 m × 250 μm × 0.25 μm).&amp;nbsp;&lt;/p></chromatography_protocol><publication>Chlorogenic acid improves obesity by regulating serum metabolites.</publication><submitter_affiliation>Shanghai University of Traditional Chinese Medicine</submitter_affiliation><submitter_name>Zhineng Wang</submitter_name><organism_part>Serum</organism_part><technology_type>mass spectrometry</technology_type><disease></disease><extraction_protocol>&lt;p>Serum samples were thawed on ice, and 80 μL of serum was transferred into a 1.5 mL Eppendorf tube.&amp;nbsp;Subsequently, 400 μL of&amp;nbsp;pre-cooled methanol&amp;nbsp;(–20 °C) was added for protein precipitation. The mixture was vortexed for 1 min, sonicated in an ice-water bath for 10 min, and incubated at –20 °C for 30 min to enhance protein precipitation. After centrifugation at 12,000 rpm for 15 min at 4 °C, the clear supernatant was collected for derivatization. For derivatization, 100 μL of the supernatant was dried under a gentle nitrogen stream. Then, 50 μL of&amp;nbsp;methoxyamine hydrochloride solution&amp;nbsp;(20 mg/mL in pyridine) was added and incubated at 70 °C for 60 min. After cooling to room temperature, 50 μL of&amp;nbsp;N,O-bis(trimethylsilyl)trifluoroacetamide containing 1% trimethylchlorosilane&amp;nbsp;was added, and the mixture was incubated at 80 °C for 30 min to complete the silylation reaction.&lt;/p></extraction_protocol><organism>Mus musculus</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS13009</full_dataset_link><author>Zhineng Wang. Shanghai University of Traditional Chinese Medicine. wangzhineng0102@163.com.</author><data_transformation_protocol>&lt;p>Using Shimadzu's workstation, the LECO database was selected for qualitative peak identification, followed by further comparison based on retention time and mass-to-charge ratio, and finally, integration calculations were performed.&lt;/p></data_transformation_protocol><study_factor>Drug</study_factor><submitter_email>wangzhineng0102@163.com</submitter_email><sample_collection_protocol>&lt;p>Serum samples were thawed on ice, and 80 μL of serum was transferred into a 1.5 mL Eppendorf tube.&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>Serum</study_design><study_design>Lipid Metabolism</study_design><study_design>Chlorogenic Acid</study_design><study_design>obesity</study_design><study_design>Intestinal Flora</study_design><curator_keywords>Serum</curator_keywords><curator_keywords>Lipid Metabolism</curator_keywords><curator_keywords>Chlorogenic Acid</curator_keywords><curator_keywords>obesity</curator_keywords><curator_keywords>Intestinal Flora</curator_keywords><mass_spectrometry_protocol>&lt;p>The carrier gas was high-purity helium (99.9995%) at a flow rate of 1.2 mL/min. The injection volume was 1 μL in split mode (20:1). The oven program was as follows: initial temperature 70 °C held for 3 min, increased to 310 °C at 5 °C/min, and held for 5 min. The inlet, transfer line, and ion source temperatures were 300 °C, 280 °C, and 240 °C, respectively. Mass spectrometry was conducted in electron ionization mode at 70 eV, with a detection voltage of 0.94 kV. Data were acquired in full scan mode over an m/z range of 33–600, with a scan interval of 0.25 s and a solvent delay of 6 min.&lt;/p></mass_spectrometry_protocol><metabolite_name>Unknown 1</metabolite_name></additional><is_claimable>false</is_claimable><name>Chlorogenic acid improves obesity by regulating serum metabolites</name><description>&lt;p> Obesity, a globally prevalent chronic metabolic disorder, has been increasingly confirmed to involve gut microbiota as a pivotal regulator in its pathogenesis. Chlorogenic acid (CGA) has been reported to exert beneficial effects on lipid metabolism regulation and obesity amelioration. However, the mechanisms by which CGA alleviates obesity via modulation of the intestinal microbiota remain unclear. We established a DIO mouse model by HFD induction, and combined untargeted serum metabolomics and FMT experiments to elucidate its effect and mechanism. Our results show that CGA ameliorates obesity-related metabolic phenotypes, suppresses HFD-induced intestinal inflammation, and enhances intestinal mucosal barrier integrity, which synergistically restore gut microbiota homeostasis. Integrative analysis of 16S rRNA gene high-throughput sequencing and serum untargeted metabolomics showed CGA modulates gut microbiota (downregulating Desulfovibrio and Allobaculum, upregulating Oscillospira), which alters serum metabolites (increasing linoleic acid, decreasing hexadecanoic and tetradecanoic acids). These effects inhibited hepatic lipid synthesis (e.g., FASN, ACACA, and SCD1 genes) and lipid uptake (e.g., FABP4, SCP2, and CD36 genes), thereby ameliorating obesity. Importantly, consistent results were also observed for interventions with fecal microbiota transplantation from CGA-treated mice. This finding confirms that the anti-obesity effect of CGA is closely associated with the modulation of gut microbiota.&lt;/p></description><dates><publication>2025-09-18</publication><submission>2025-09-18</submission></dates><accession>MTBLS13009</accession><cross_references/></HashMap>