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<p><?tk 4?>Cervicitis may cause salpingitis, endometritis, pelvic inflammatory disease, obstetric sequelae, and even cancer and current treatment strategies have limitations, so it is necessary to find more accurate and effective therapies. This study aimed to identify potential drug targets for the treatment of cervicitis. The two-sample Mendelian Randomization (MR) approach was used for the analysis of publicly available databases. Drug targets were predicted, cis-protein quantitative trait loci and outcome datasets were obtained, instrumental variables were selected, followed by univariate MR analysis, sensitivity analysis, summary data-based MR analysis, colocalization analysis, phenome-wide association analysis, and construction of protein-protein interaction (PPI) network and regulatory network. We found that five drug target-related genes, namely endoplasmic reticulum aminopeptidase 1 (<i>ERAP1</i>), nitric oxide synthase 2 (<i>NOS2</i>), acetylcholinesterase (<i>ACHE</i>), matrix metalloproteinase 8 (<i>MMP8</i>), and neurotrophic tyrosine kinase receptor 3 (<i>NTRK3</i>), were causally related to cervical inflammatory disease, among which <i>ERAP1</i> and <i>NOS2</i> were significantly positively and negatively causally related to cervicitis respectively. The PPI network showed that <i>NOS2</i> was interacting with <i>AKT1</i>, <i>ARG1</i>, <i>ARG2</i>, <i>ASS1</i>, <i>CALM1</i>, <i>CALM3</i>, <i>CALML3</i>, <i>CALML4</i>, <i>CALML5</i>, and <i>CALML6</i>. The mRNA-Drug regulatory network consisted of 8 genes and 36 drugs or molecular compounds. Our study laid the foundation for further exploration and clinical application of these potential drug targets. Our finding may not only help promote the development of new therapies but also be helpful in increasing the level of individualized medicine.</p>

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Identification of potential drug targets associated with cervicitis based on Mendelian randomization

  • 期刊论文

  • 发表日期：

    2026年4月2日

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  • Wantao Liang,
  • Yanyuan Bai,
  • Xian Huang,
  • Hua Zhang,
  • Xiuzhen Huang,
  • Juan Liang,
  • Jing Huang,
  • Bingsheng Huang

摘要

Cervicitis may cause salpingitis, endometritis, pelvic inflammatory disease, obstetric sequelae, and even cancer and current treatment strategies have limitations, so it is necessary to find more accurate and effective therapies. This study aimed to identify potential drug targets for the treatment of cervicitis. The two-sample Mendelian Randomization (MR) approach was used for the analysis of publicly available databases. Drug targets were predicted, cis-protein quantitative trait loci and outcome datasets were obtained, instrumental variables were selected, followed by univariate MR analysis, sensitivity analysis, summary data-based MR analysis, colocalization analysis, phenome-wide association analysis, and construction of protein-protein interaction (PPI) network and regulatory network. We found that five drug target-related genes, namely endoplasmic reticulum aminopeptidase 1 (ERAP1), nitric oxide synthase 2 (NOS2), acetylcholinesterase (ACHE), matrix metalloproteinase 8 (MMP8), and neurotrophic tyrosine kinase receptor 3 (NTRK3), were causally related to cervical inflammatory disease, among which ERAP1 and NOS2 were significantly positively and negatively causally related to cervicitis respectively. The PPI network showed that NOS2 was interacting with AKT1, ARG1, ARG2, ASS1, CALM1, CALM3, CALML3, CALML4, CALML5, and CALML6. The mRNA-Drug regulatory network consisted of 8 genes and 36 drugs or molecular compounds. Our study laid the foundation for further exploration and clinical application of these potential drug targets. Our finding may not only help promote the development of new therapies but also be helpful in increasing the level of individualized medicine.