Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Based on pharmacogenomics analysis technology, this topic explored its impact on individualized precise treatment of patients with depression through randomized controlled trials. The study subjects were depression patients from the mental health research center affiliated to Tongji University. The sample size was estimated by PASS 21.0.3 software. The sample size of the intervention group and the control group was 60 cases each, and SPSS 25.0 software was used for random sampling. The intervention group completed the pharmacogenomic analysis of antidepressants before using them, and selected appropriate antidepressants according to the characteristics of pharmacokinetics and pharmacodynamics of individual patients, while the control group was administered according to routine treatment. 17 items Hamilton Compression Scale (HAMD-17), Hamilton Anxiety Scale (HAMA), Dimensional Anhedonia Rating Scale (DARS), Pittsburgh sleep quality index (PSQI), Antidepressant Side Effect Checklist (ASEC), Short form 36 item health survey questionnaire (SF-36) (PDQ) assessment. R Project 4.1.1 software was used for statistical analysis of data, PLink v1.07 and Haploview software were used for association analysis of whole genome and drug efficacy and adverse reactions. To explore the difference between the reduction rate of drug efficacy and adverse reactions in patients with depression after pharmacogenomics intervention and conventional treatment. At the same time, we verified and found the gene loci related to the efficacy and adverse reactions of antidepressants in the East Asian population.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Pharmacogenomics Group | Experimental |
| |
| Non Pharmacogenomics Group | No Intervention |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Genomic analysis of antidepressants | Diagnostic Test | Genomic analysis of all antidepressants. Tris EDTA anticoagulation and salting out were used to extract DNA. OD 260/280 was between 1.6-1.8 and the concentration was greater than 50 ng/ μ L。 Using the PCR gene chip detection method and the Asian Screening Array (ASA) chip detection technology of Illumina Company (this chip is the first whole genome SNP chip designed based on the whole genome sequencing data of 9000+East Asian populations, which contains 750000 markers, with 85% of the effective loci), we can obtain the genetic information of polymorphic loci related to the individual differences of drug effects of subjects. |
| Measure | Description | Time Frame |
|---|---|---|
| Genomic analysis of antidepressants | Using PCR gene chip detection method and Asian Screening Array (ASA) chip detection technology of Illumina Company, we can obtain the genetic information of polymorphic sites related to the individual differences of drug effects of subjects. | Baseline |
| 17-items Hamilton Depression Scale | Evaluate the severity and treatment effect of the patient's depression within one week. | Baseline |
| 17-items Hamilton Depression Scale | Evaluate the severity and treatment effect of the patient's depression within one week. | Week 4 |
| 17-items Hamilton Depression Scale | Evaluate the severity and treatment effect of the patient's depression within one week. | Week 8 |
| 17-items Hamilton Depression Scale | Evaluate the severity and treatment effect of the patient's depression within one week. | Week 16 |
| 17-items Hamilton Depression Scale | Evaluate the severity and treatment effect of the patient's depression within one week. | Week 32 |
| Dimensional Anhedonia Rating Scale | Assess the patient's level of interest, motivation, effort, and happiness in experiencing pleasant activities or experiences. | Baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Hamilton Anxiety Scale | Assess the severity of the patient's anxiety symptoms. | Baseline |
| Hamilton Anxiety Scale | Assess the severity of the patient's anxiety symptoms. |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Tongji University | Shanghai | Shanghai Municipality | 200124 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 9915229 | Result | Cremonesi L, Carrera P, Cardillo E, Fumagalli A, Lucchiari S, Ferrari M, Righetti SC, Righetti PG, Gelfi C. Optimized detection of DNA point mutations by double gradient denaturing gradient gel electrophoresis. Clin Chem Lab Med. 1998 Dec;36(12):959-61. doi: 10.1515/CCLM.1998.165. | |
| 32780949 | Result | Rush AJ, South C, Jha MK, Jain SB, Trivedi MH. What to Expect When Switching to a Second Antidepressant Medication Following an Ineffective Initial SSRI: A Report From the Randomized Clinical STAR*D Study. J Clin Psychiatry. 2020 Aug 11;81(5):19m12949. doi: 10.4088/JCP.19m12949. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D003863 | Depression |
| ID | Term |
|---|---|
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
|
| Dimensional Anhedonia Rating Scale | Assess the patient's level of interest, motivation, effort, and happiness in experiencing pleasant activities or experiences. | Week 4 |
| Dimensional Anhedonia Rating Scale | Assess the patient's level of interest, motivation, effort, and happiness in experiencing pleasant activities or experiences. | Week 8 |
| Dimensional Anhedonia Rating Scale | Assess the patient's level of interest, motivation, effort, and happiness in experiencing pleasant activities or experiences. | Week 16 |
| Dimensional Anhedonia Rating Scale | Assess the patient's level of interest, motivation, effort, and happiness in experiencing pleasant activities or experiences. | Week 32 |
| Antidepressant Side-Effect Checklist | Evaluate the adverse reactions of patients after using antidepressants. | Baseline |
| Antidepressant Side-Effect Checklist | Evaluate the adverse reactions of patients after using antidepressants. | Week 4 |
| Antidepressant Side-Effect Checklist | Evaluate the adverse reactions of patients after using antidepressants. | Week 8 |
| Antidepressant Side-Effect Checklist | Evaluate the adverse reactions of patients after using antidepressants. | Week 16 |
| Antidepressant Side-Effect Checklist | Evaluate the adverse reactions of patients after using antidepressants. | Week 32 |
| Perceived deficits questionnaire | Assess the patient's subjective cognitive function within one week. | Baseline |
| Perceived deficits questionnaire | Assess the patient's subjective cognitive function within one week. | Week 4 |
| Perceived deficits questionnaire | Assess the patient's subjective cognitive function within one week. | Week 8 |
| Perceived deficits questionnaire | Assess the patient's subjective cognitive function within one week. | Week 16 |
| Perceived deficits questionnaire | Assess the patient's subjective cognitive function within one week. | Week 32 |
| Week 4 |
| Hamilton Anxiety Scale | Assess the severity of the patient's anxiety symptoms. | Week 8 |
| Hamilton Anxiety Scale | Assess the severity of the patient's anxiety symptoms. | Week 16 |
| Hamilton Anxiety Scale | Assess the severity of the patient's anxiety symptoms. | Week 32 |
| Pittsburgh sleep quality index | Evaluate the patient's sleep quality within one month, including sleep effect and duration. | Baseline |
| Pittsburgh sleep quality index | Evaluate the patient's sleep quality within one month, including sleep effect and duration. | Week 4 |
| Pittsburgh sleep quality index | Evaluate the patient's sleep quality within one month, including sleep effect and duration. | Week 8 |
| Pittsburgh sleep quality index | Evaluate the patient's sleep quality within one month, including sleep effect and duration. | Week 16 |
| Pittsburgh sleep quality index | Evaluate the patient's sleep quality within one month, including sleep effect and duration. | Week 32 |
| Short-form 36 item health survey questionnaire | Assess the patient's health and quality of life within one month | Baseline |
| Short-form 36 item health survey questionnaire | Assess the patient's health and quality of life within one month | Week 4 |
| Short-form 36 item health survey questionnaire | Assess the patient's health and quality of life within one month | Week 8 |
| Short-form 36 item health survey questionnaire | Assess the patient's health and quality of life within one month | Week 16 |
| Short-form 36 item health survey questionnaire | Assess the patient's health and quality of life within one month | Week 32 |
| 32529266 | Result | Ahmadimanesh M, Balarastaghi S, Rashedinia M, Yazdian-Robati R. A systematic review on the genotoxic effect of serotonin and norepinephrine reuptake inhibitors (SNRIs) antidepressants. Psychopharmacology (Berl). 2020 Jul;237(7):1909-1915. doi: 10.1007/s00213-020-05550-8. Epub 2020 Jun 11. |
| 30677646 | Result | Greden JF, Parikh SV, Rothschild AJ, Thase ME, Dunlop BW, DeBattista C, Conway CR, Forester BP, Mondimore FM, Shelton RC, Macaluso M, Li J, Brown K, Gilbert A, Burns L, Jablonski MR, Dechairo B. Impact of pharmacogenomics on clinical outcomes in major depressive disorder in the GUIDED trial: A large, patient- and rater-blinded, randomized, controlled study. J Psychiatr Res. 2019 Apr;111:59-67. doi: 10.1016/j.jpsychires.2019.01.003. Epub 2019 Jan 4. |
| 32629971 | Result | Hattinger CM, Patrizio MP, Luppi S, Serra M. Pharmacogenomics and Pharmacogenetics in Osteosarcoma: Translational Studies and Clinical Impact. Int J Mol Sci. 2020 Jun 30;21(13):4659. doi: 10.3390/ijms21134659. |
| 28090649 | Result | Luzum JA, Pakyz RE, Elsey AR, Haidar CE, Peterson JF, Whirl-Carrillo M, Handelman SK, Palmer K, Pulley JM, Beller M, Schildcrout JS, Field JR, Weitzel KW, Cooper-DeHoff RM, Cavallari LH, O'Donnell PH, Altman RB, Pereira N, Ratain MJ, Roden DM, Embi PJ, Sadee W, Klein TE, Johnson JA, Relling MV, Wang L, Weinshilboum RM, Shuldiner AR, Freimuth RR; Pharmacogenomics Research Network Translational Pharmacogenetics Program. The Pharmacogenomics Research Network Translational Pharmacogenetics Program: Outcomes and Metrics of Pharmacogenetic Implementations Across Diverse Healthcare Systems. Clin Pharmacol Ther. 2017 Sep;102(3):502-510. doi: 10.1002/cpt.630. Epub 2017 Jun 9. |
| 24229738 | Result | Winner JG, Carhart JM, Altar CA, Allen JD, Dechairo BM. A prospective, randomized, double-blind study assessing the clinical impact of integrated pharmacogenomic testing for major depressive disorder. Discov Med. 2013 Nov;16(89):219-27. |
| 30837874 | Result | Aldrich SL, Poweleit EA, Prows CA, Martin LJ, Strawn JR, Ramsey LB. Influence of CYP2C19 Metabolizer Status on Escitalopram/Citalopram Tolerability and Response in Youth With Anxiety and Depressive Disorders. Front Pharmacol. 2019 Feb 19;10:99. doi: 10.3389/fphar.2019.00099. eCollection 2019. |
| 28025020 | Result | Gasso P, Rodriguez N, Blazquez A, Monteagudo A, Boloc D, Plana MT, Lafuente A, Lazaro L, Arnaiz JA, Mas S. Epigenetic and genetic variants in the HTR1B gene and clinical improvement in children and adolescents treated with fluoxetine. Prog Neuropsychopharmacol Biol Psychiatry. 2017 Apr 3;75:28-34. doi: 10.1016/j.pnpbp.2016.12.003. Epub 2016 Dec 23. |
| 28515818 | Result | Health Quality Ontario. Pharmacogenomic Testing for Psychotropic Medication Selection: A Systematic Review of the Assurex GeneSight Psychotropic Test. Ont Health Technol Assess Ser. 2017 Apr 11;17(4):1-39. eCollection 2017. |
| 40852613 | Derived | Tong J, Yuan J, Qin Y, Zhu N, Zhang T, Zhu X, Xu Y, Liu M, Zhang J, Sun X. Clinicians' experience on the effectiveness of pharmacotherapy in patients with first-episode depression: a randomized controlled trial based on pharmacogenomics. Front Pharmacol. 2025 Aug 7;16:1626654. doi: 10.3389/fphar.2025.1626654. eCollection 2025. |