[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"metabonomics\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:metabonomics":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,51],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":19,"targetDuration":22,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":31,"overallStatus":38,"whyStopped":4,"lastUpdateSubmitDate":39,"lastUpdatePostDateStruct":40,"startDateStruct":43,"completionDateStruct":45,"leadSponsor":47,"locationsCount":50},"100586439","metabolomic-and-lipidomic-analysis-predicts-immunotherapy-related-adverse-events-in-gastric-cancer-patients-100586439",false,"NCT06915389","Metabolomic and Lipidomic Analysis Predicts Immunotherapy-related Adverse Events in Gastric Cancer Patients","Comprehensive Plasma Metabolomic and Lipidomic Profiling for Predictive Modeling and Biomarker Discovery of Immune-Related Adverse Events in PD-1\u002FPD-L1 Inhibitor-Treated Gastric Cancer Patients: A Prospective Cohort Study","Inclusion Criteria:\n\n* Age≥ 18 years\n\n  * ECOG PS 0-2\n\n    * Gastric cancer diagnosed by histology or cytology\n\n      * Untreatment with PD-1\u002FPD-L1 inhibitors\n\n        * Expected survival≥3 months\n\n          * Exhibits a favorable adherence to treatment and follow-up,demonstrates compliance with the research protocol, and willingly signs the informed consent form.\n\nExclusion Criteria:\n\n* Unable to obtain an organization or due to insufficient organizational material, unable to diagnose gastric cancer\n\n  * Refusal to receive PD-1\u002FPD-L1 inhibitor treatment\n\n    * Baseline (before immunotherapy) plasma samples are unavailable\n\n      * Combined with autoimmune diseases\n\n        * Baseline (before immunotherapy) there are severe diseases in the heart, lungs, thyroid gland and other organs\n\n          * Baseline (before immunotherapy) there are severe abnormalities in liver and kidney functions, pancreatic enzymes and other indicators\n\n            ⑦ Researchers posit that any condition deemed potentially harmful to the subjects or that might prevent subjects from meeting or adhering to the research requirements shall not be permissible for inclusion in this study","ALL","18 Years","80 Years",{"count":20,"type":21},100,"ESTIMATED","1 Year","OBSERVATIONAL","This study comprehensively examines metabolic and lipidomic dynamics in gastric cancer patients initiating PD-1\u002FPD-L1 inhibitor therapy, employing a longitudinal design with pre- and post-treatment patients. The primary objectives include identifying irAE-associated metabolic and lipid biomarkers, developing predictive risk models, and evaluating the prognostic value of these molecular profiles. The findings are expected to contribute significantly to personalized treatment strategies and improved clinical decision-making in immunooncology.",[26,27,28,29,30],"Gastric Cancer","Immunotherapy","Adverse Event","Metabonomics","Lipidomics",[32,33,34,35,36,37],"Immune-related adverse events (irAEs)","PD-1\u002FPD-L1 inhibitors","Gastric cancer","Biomarkers","Metabolic","Lipidomic","RECRUITING","2025-04-03",{"date":41,"type":42},"2025-04-08","ACTUAL",{"date":44,"type":42},"2025-02-22",{"date":46,"type":21},"2027-06-30",{"name":48,"class":49},"Qinghai Red Cross Hospital","OTHER",1,{"id":52,"slug":53,"hasResults":11,"nctId":54,"briefTitle":55,"officialTitle":56,"acronym":4,"eligibilityCriteria":57,"healthyVolunteers":58,"sex":16,"minAge":59,"maxAge":18,"enrollmentInfo":60,"targetDuration":62,"studyType":23,"phases":4,"briefSummary":63,"conditions":64,"keywords":68,"overallStatus":38,"whyStopped":4,"lastUpdateSubmitDate":71,"lastUpdatePostDateStruct":72,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":50},"100580436","a-longitudinal-study-to-explore-the-impact-of-gut-microbiome-on-brain-health-in-alzheimers-disease-100580436","NCT06837272","A Longitudinal Study to Explore the Impact of Gut Microbiome on Brain Health in Alzheimer's Disease","A Longitudinal Study to Explore the Impact of Gut Microbiome on Brain Health in Alzheimer's Disease: China Healthy Brain and Gut Microbiome Study (CHBGMS)","Inclusion Criteria:\n\n* Cognitively normal group:\n\n  1. normal performance on standardized cognitive tests;\n  2. with no cognitive complaints or any concerns (worries).\n* SCD group:\n\n  1. self-experienced persistent decline in memory, rather than other domains of cognition;\n  2. normal performance on standardized cognitive tests;\n  3. failure to meet the criteria for MCI or dementia;\n  4. age at onset of SCD ≥ 60 years old;\n  5. onset of SCD within the last 5 years;\n  6. concerns (worries) associated with SCD;\n  7. feeling of worse performance than others of the same age group.\n* MCI group:\n\n  1. having impaired scores on both measures in at least one cognitive domain (memory, language, or speed\u002Fexecutive function);\n  2. having impaired scores in each of the three cognitive domains (memory, language, or speed\u002Fexecutive function);\n  3. the Functional Activities Questionnaire (FAQ)≥9.\n* AD dementia group:\n\n  1. meet the criteria for dementia and have impaired daily functional activities;\n  2. episodic memory deficit; 3) Clinical Dementia Rating (CDR) ≥ 1.\n\nExclusion Criteria:\n\n* a history of stroke;\n* major depression and anxiety;\n* other central nervous system disorders that may cause cognitive impairment, such as Parkinson's disease, tumors, encephalitis, and epilepsy;\n* cognitive impairment caused by traumatic brain injury;\n* systemic diseases, such as thyroid dysfunction, syphilis and HIV;\n* psychosis or congenital mental developmental delay;\n* a history of using antibiotics, probiotics, prebiotics, or synbiotics within 3 months;\n* the use of corticosteroid, immune stimulating medications, and immunosuppressive agents;\n* major gastrointestinal tract surgery in past 5 years;\n* severe gastrointestinal diseases, such as irritable bowel syndrome, infammatory bowel disease, severe gastritis, other dysfunction in digestion and absorption, which has been reported to infuence gut microbiota",true,"60 Years",{"count":61,"type":21},285,"5 Years","Gut microbiota dysfunction is associated with Alzheimer's disease (AD). However, the potential modulatory mechanism remains unclear. Previous studies have shown that gut-derived metabolites short-chain fatty acids (SCFAs) may be the key mediators between gut microbiota and brain, participating in the modulatory pathway \"gut microbiota-SCFAs-brain networks\". In this project, high-throughput targeted metabolomics technique will be used to explore the differences of SCFAs in the spectrum of AD, including cognitively normal individuals, subjective cognitive decline (SCD), mild cognitive impairment (MCI), and AD dementia. Then, the gut microbiome and multi-modal MRI techniques will be combined to elucidate potential interaction mechanisms of \"gut microbiota-SCFAs-brain networks\". Finally, based on multi-omics features extracted from gut microbiome, metabolomics, and neuroimaging after five years, the diagnostic model of SCD due to preclinical AD will be established using machine learning methods.",[65,66,29,67],"Alzheimer Disease","Gut Microbiota","Magnetic Resonance Imaging",[69,70],"Subjective cognitive decline","Multi-omics","2025-02-15",{"date":73,"type":42},"2025-02-20",{"date":75,"type":42},"2024-01-01",{"date":77,"type":21},"2029-12-31",{"name":79,"class":49},"Jining Medical University"]