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Mining and Analysis of Adverse Reaction Signals of Zuranolone Based on the FAERS Database
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Bo HE1, 2, Yan ZHENG2, Xia LI2, Fenfei GAO1, *
Pharmacy Today | 2026, 36(2) : 113 - 117
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Pharmacy Today | 2026, 36(2): 113-117
Mining and Analysis of Adverse Reaction Signals of Zuranolone Based on the FAERS Database
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Bo HE1, 2, Yan ZHENG2, Xia LI2, Fenfei GAO1, *
Affiliations
  • 1.Shantou University Medical College, Shantou, Guangdong 515041, China
  • 2.Shenzhen Nanshan Medical Group HQ, Shenzhen, Guangdong 518000, China
Published: 2026-02-25 doi: 10.12048/j.issn.1674-229X.2026.02.005
Outline
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OBJECTIVE

This study aims to utilize the FAERS database to identify and evaluate the adverse event signals of zuranolone after its market launch in the real world, so as to provide real-world evidence for its safe clinical application.

METHODS

Collect the reports from the FAERS database for the fourth quarter of 2023 to the third quarter of 2025. Data is stored in MySQL, Medical Dictionary for Regulatory Activities (MedDRA) version 28.0 standardizes and systematically classifies adverse event terms, and Python is used for data cleaning and analysis. The Proportional Reporting Ratio (PRR) method and Bayesian Confidence Propagation Neural Network (BCPNN) method are used simultaneously to detect signals, thereby improving the accuracy of positive signals.

RESULTS

There were a total of 883 reports where zuranolone was identified as the primary suspected drug. 70 positive signals were identified, involving 7 system organ classes (SOCs). The SOC with the highest number of positive signals was psychiatric disorders, followed by neurological disorders. The number of positive signals for these two categories accounted for 80% of the total positive signals. The top three adverse events in terms of signal intensity were neonatal drowsiness, perinatal depression, and intoxication.

CONCLUSION

The adverse drug events (ADEs) of zuranolone mainly include mental disorders and neurological diseases. It may aggravate depressive symptoms and even induce suicidal behavior; during medication, it may impair the ability to operate precision instruments; it is necessary to strengthen the warning about infant exposure to zuranolone.

zuranolone  /  ADEs  /  postpartum depression  /  Proportional reporting ratio (PRR)  /  Bayesian confidence propagation neural network (BCPNN)
何勃, 郑岩, 李侠, 高分飞. 基于FAERS数据库对祖拉诺酮不良反应信号的挖掘与分析. 今日药学, 2026 , 36 (2) : 113 -117 . DOI: 10.12048/j.issn.1674-229X.2026.02.005
Bo HE, Yan ZHENG, Xia LI, Fenfei GAO. Mining and Analysis of Adverse Reaction Signals of Zuranolone Based on the FAERS Database[J]. Pharmacy Today, 2026 , 36 (2) : 113 -117 . DOI: 10.12048/j.issn.1674-229X.2026.02.005
Year 2026 volume 36 Issue 2
148
30
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doi: 10.12048/j.issn.1674-229X.2026.02.005
  • Receive Date:2025-11-27
  • Online Date:2026-09-23
  • Published:2026-02-25
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  • Received:2025-11-27
Affiliations
    1.Shantou University Medical College, Shantou, Guangdong 515041, China
    2.Shenzhen Nanshan Medical Group HQ, Shenzhen, Guangdong 518000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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