[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"transcriptome\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:transcriptome":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,41,80],{"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":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":31,"startDateStruct":34,"completionDateStruct":36,"leadSponsor":38,"locationsCount":4},"100601347","a-validation-study-on-a-prognostic-prediction-model-for-respiratory-tract-infections-100601347",false,"NCT07109310","A Validation Study on a Prognostic Prediction Model for Respiratory Tract Infections","A Prospective, Single-Center Clinical Validation Study of Transcri Ptomics-Based Biomarkers for Predicting Respiratory Infection Progression and Prognosis","Inclusion Criteria:\n\nCommunity-acquired pneumonia group\n\n* Age ≥18 years old;\n\n  * Sign the informed consent form; ③ According to the researcher's judgment, be able to comply with the research visit; ④ Comply with the diagnostic criteria for community-acquired pneumonia in the Chinese Guidelines for the Diagnosis and Treatment of Community-Acquired Pneumonia in Adults (2016 Edition); ⑤ The time from onset to enrollment was ≤8 days. Sepsis Group\n* Age ≥18 years old;\n\n  * Sign the informed consent form; ③ According to the researcher's judgment, be able to comply with the research visit;\n\n    * Patients who meets the sepsis 3.0 diagnostic criteria.\n\nExclusion Criteria:\n\nExclusion criteria\n\n* Respiratory failure related to underlying heart and lung diseases;\n\n  * Severe liver and kidney dysfunction, pregnancy or lactation period;\n\n    * Meet the indications for organ transplantation or have undergone organ transplantation surgery in the past; ④ Known HIV infection; ⑤ Screening: Those who have experienced unstable angina pectoris or myocardial infarction within 30 days prior to the screening and have not received vascular recanalization treatment, as well as those with extensive cerebral hemorrhage; ⑥ Situations where researchers determine that enrollment is not appropriate.","ALL","18 Years","80 Years",{"count":20,"type":21},150,"ESTIMATED","OBSERVATIONAL","This study adopted a prospective, single-center, open-label design, aiming to evaluate the efficacy of the RTI clinical outcome prediction model in predicting clinical outcomes in subjects with acute respiratory tract infections.\n\nIn this study, the subjects were divided into the community-acquired pneumonia group and the sepsis group, including one baseline visit, one visit on the 7th day, and one visit on the 28th day.\n\nDuring the research process, blood samples will be collected at the corresponding visiting points for the validation of the predictive model.",[25,26,27,28],"Sepsis","Acute Respiratory Distress Syndrome","Community Acquired Pneumonia","Transcriptome","NOT_YET_RECRUITING","2025-07-31",{"date":32,"type":33},"2025-08-07","ACTUAL",{"date":35,"type":21},"2025-08-15",{"date":37,"type":21},"2026-12-30",{"name":39,"class":40},"Peking Union Medical College Hospital","OTHER",{"id":42,"slug":43,"hasResults":11,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":4,"eligibilityCriteria":47,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":48,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":50,"conditions":51,"keywords":61,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":79},"100581156","host-response-to-infection-by-direct-analysis-of-leukocyte-single-cell-type-gene-expressiontranscript-abundance-direct-ls-ta-a-prospective-study-will-evaluate-the-performance-of-direct-ls-ta-in-triage-febrile-patients-into-major-categories-of-infections-viral-bacterial-or-active-tuberculosis-100581156","NCT06846645","Host Response to Infection by Direct Analysis of Leukocyte Single Cell-type Gene Expression\u002Ftranscript Abundance, Direct LS-TA. a Prospective Study Will Evaluate the Performance of Direct LS-TA in Triage Febrile Patients Into Major Categories of Infections: Viral, Bacterial or Active Tuberculosis.","Peripheral Blood Single Cell-type Expression Profile of Interferon-stimulated and Other Biomarker Genes for Triage of Febrile Patients","Inclusion Criteria:\n\n* Adult patients with fever of acute onset which is defined by a raised body temperature.\n* Patient should understand Chinese word to give informed consent.\n\nExclusion Criteria:\n\n* Patients with a history of any immunodeficiency or immunocompromised condition. Patients received steriod or other immunotherapy.",{"count":49,"type":21},200,"Febrile illness is a common condition and it is crucial to have an early triage of patients according to various aetiologies to enable appropriate treatment. Currently, most screening\u002Fdiagnostic tests target the detection of pathogens, while only a few assays aim to understand the host response, and they are mostly based on a measurement of serum proteins (e.g. CRP or procalcitonin).\n\nRecently, blood transcriptome has been explored to differentiate bacterial and viral infections. However, gene expression in blood represents a composite score of gene expression of all the component cell-types present in the sample. Here, we propose to develop a rapid test that can determine gene expressions of a specified single cell type in peripheral blood (e.g., monocytes or granulocytes) as a host response biomarker to differentiate three major categories of infections that are bacterial, viral, and tuberculosis The assay is called Direct Leukocyte Single cell-type transcript abundance (TA) assay (DIRECT LS-TA) as it can directly determine the gene expression of a specified single cell-type among various other leukocyte populations directly in a peripheral blood sample. Such results signify the nature of host response according to 3 or more axes (Type I or Type II interferon signaling response or pro-inflammatory cytokine signaling) And it can be used to indicate the type of underlying infection (viral, bacterial, or active tuberculosis).",[52,53,54,55,56,57,58,59,60,28],"Single Cell Sequencing Technology","Gene Expression Profiling","Gene Expression","Infection","Viral Diseases","Bacterial Diseases","Active Tuberculosis","Host Defense Mechanisms","Host Microbial Interactions",[62,63,64,65,66,67,68,69],"host response","transcriptome","single cell-type gene expression","single cell RNA","triage","fever","febrile patient","Direct LS-TA","2025-02-27",{"date":72,"type":33},"2025-03-03",{"date":74,"type":21},"2025-02",{"date":76,"type":21},"2028-12",{"name":78,"class":40},"Chinese University of Hong Kong",1,{"id":81,"slug":82,"hasResults":11,"nctId":83,"briefTitle":84,"officialTitle":84,"acronym":85,"eligibilityCriteria":86,"healthyVolunteers":11,"sex":16,"minAge":87,"maxAge":88,"enrollmentInfo":89,"targetDuration":91,"studyType":22,"phases":4,"briefSummary":92,"conditions":93,"keywords":97,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":101,"lastUpdatePostDateStruct":102,"startDateStruct":104,"completionDateStruct":106,"leadSponsor":108,"locationsCount":4},"100575739","precision-therapy-based-on-immune-microenvironment-by-transcriptome-sequencing-of-osteosarcoma-a-prospective-multi-cohort-exploratory-clinical-study-100575739","NCT06776198","Precision Therapy Based on Immune Microenvironment by Transcriptome Sequencing of Osteosarcoma, a Prospective, Multi-cohort Exploratory Clinical Study","PTMTO","Inclusion Criteria:\n\n* (i) patients who have been suspected for osteosarcoma with enough clinical or radiographic information;\n* (ii) patients who have evaluable lesions to resect or follow;\n* (iii) patients who are planned to be operate with enough flesh specimens for this study.\n\nExclusion Criteria:\n\n* (i) clinical information was not complete;\n* (ii) lost to follow-up.","8 Years","70 Years",{"count":90,"type":21},100,"100 Years","Bagaev et al. have identified four tumor microenvironment (TME) subtypes that are conserved across diverse cancers and correlated with immunotherapy response in melanoma, bladder, and gastric cancers. They provided a visual tool revealing the TME subtypes integrated with targetable genomic alterations, which provided a planetary view of each tumor that can aid in oncology clinical decision making. We aim to use this tool to prospectively analyse the biopsy specimens of osteosarcomas to identify their TME subtypes so as to deliver appropriate treatment strategy if these osteosarcomas experience disease progression afterwards. We will compare the past sequencing date stored in PKUPH bank so as to compare the event-free survival(EFS) of these patients to check the Superiority of this method later.",[94,28,95,96],"Osteosarcoma","Tumor Microenvironment","Precision Medicine",[98,63,99,100],"osteosarcoma","tumor microenviroment","precision medicine","2025-01-21",{"date":103,"type":33},"2025-01-24",{"date":105,"type":21},"2025-03-01",{"date":107,"type":21},"2027-06-01",{"name":109,"class":40},"Peking University People's Hospital"]