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| Name | Class |
|---|---|
| Beijing Hospital | OTHER_GOV |
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Prospective, observational study to explore the significance of gut microbiome in the diagnosis of ITP, and to identify the predictive value of baseline gut microbiome for GC resistance/relapse.
A prospective, observational study to (1) collect fecal samples from ITP patients at initial diagnosis (baseline) and after first-line GC treatment, (2) detect the composition of gut microbiome and related metabolites using metagenomic sequencing combined with metabolomics, (3) observe the impact of first-line treatment on gut microbiome, (4) explore the significance of gut microbiome in the diagnosis of ITP, and (5) identify the predictive value of baseline gut microbiome for GC resistance/relapse, thus to provide new ideas for clinical diagnosis and treatment of ITP.
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| Measure | Description | Time Frame |
|---|---|---|
| AUC value of 1-month drug resistance/relapse using baseline gut microbiota efficacy prediction model | The prediction model is constructed and calculated using machine learning methods | 1 month |
| Measure | Description | Time Frame |
|---|---|---|
| AUC value of 3-month drug resistance/relapse using baseline gut microbiota efficacy prediction model | The prediction model is constructed and calculated using machine learning | 3 months |
| AUC value of 6-month drug resistance/relapse using baseline gut microbiota |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with newly diagnosed ITP who would receive first-line therapy (glucocorticoid therapy with platelet infusion) according to the clinician's or patient's decision.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Xiao-Hui Zhang, Dr. | Contact | +8613522338836 | zhangxh100@sina.com | |
| Feng-Qi Liu, MD. | Contact | +8618301231630 | liufengqi1230@163.com |
| Name | Affiliation | Role |
|---|---|---|
| Xiao-Hui Zhang, Dr. | Peking University People's Hospital, Peking University Insititute of Hematology | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Peking University Insititute of Hematology, Peking University People's Hospital | Recruiting | Beijing | Beijing Municipality | 100010 | China |
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Fecal sample collection and metagenomic sequencing: A specific stool sample collector was selected to collect an appropriate amount of stool samples (≥1g/ sample). Samples that could not be extracted immediately were transported on dry ice and stored at -80℃. DNA was extracted by phenol/chloroform method. Qubit Fluorometer is used to test samples DNA concentration, agarose gel electrophoresis (gel concentration: 1%; Voltage: 150 V; Electrophoresis time: 40 min) is used to test DNA integrity of samples, and unqualified samples with insufficient DNA amount or degradation were eliminated. Qualified samples were used for DNA library construction and Illumina sequencing. The sequencing library was constructed according to Illumina's official operating instructions and further optimized. Qualified libraries were sequenced using Illumina platform.
The prediction model is constructed and calculated using machine learning |
| 6 months |
| Time to response | The time to achieve platelet count ≥ 30×10^9/L and at least 2-fold increase of the baseline count and absence of bleeding since start of treatment. | 6 months |
| Duration of response | The duration of achieve platelet count ≥ 30×10^9/L and at least 2-fold increase of the baseline count and absence of bleeding since start of treatment | 6 months |