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Usage Information

Computational discovery of therapeutic candidates for preventing preterm birth
Brian L. Le, Sota Iwatani, Ronald J. Wong, David K. Stevenson, Marina Sirota
Brian L. Le, Sota Iwatani, Ronald J. Wong, David K. Stevenson, Marina Sirota
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Research Article Reproductive biology Therapeutics

Computational discovery of therapeutic candidates for preventing preterm birth

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Abstract

Few therapeutic methods exist for preventing preterm birth (PTB), or delivery before completing 37 weeks of gestation. In the US, progesterone (P4) supplementation is the only FDA-approved drug for use in preventing recurrent spontaneous PTB. However, P4 has limited effectiveness, working in only approximately one-third of cases. Computational drug repositioning leverages data on existing drugs to discover novel therapeutic uses. We used a rank-based pattern-matching strategy to compare the differential gene expression signature for PTB to differential gene expression drug profiles in the Connectivity Map database and assigned a reversal score to each PTB-drug pair. Eighty-three drugs, including P4, had significantly reversed differential gene expression compared with that found for PTB. Many of these compounds have been evaluated in the context of pregnancy, with 13 belonging to pregnancy category A or B — indicating no known risk in human pregnancy. We focused our validation efforts on lansoprazole, a proton-pump inhibitor, which has a strong reversal score and a good safety profile. We tested lansoprazole in an animal inflammation model using LPS, which showed a significant increase in fetal viability compared with LPS treatment alone. These promising results demonstrate the effectiveness of the computational drug repositioning pipeline to identify compounds that could be effective in preventing PTB.

Authors

Brian L. Le, Sota Iwatani, Ronald J. Wong, David K. Stevenson, Marina Sirota

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Usage data is cumulative from May 2025 through May 2026.

Usage JCI PMC
Text version 1,162 59
PDF 204 15
Figure 256 0
Table 110 0
Supplemental data 117 3
Citation downloads 129 0
Totals 1,978 77
Total Views 2,055
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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