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Table 2 Sex-aware drug repurposing examples

From: Considerations and challenges for sex-aware drug repurposing

Method

Examples

Development

Sex-Aware Approach

Data Mining

Drug Central [149]

Database

Drug Database compilation using FDA, EMA, and PMDA; information includes active ingredients, MOA’s, indivations, pharmacological actions, regulatory data, chemical structure, and adverse drug events separated by sex to help correct for sex-bias

AwareDX [7]

Study/Analysis

Pharmacovigilance algorithm that predicts sex-bias adverse events from FAERS data and found 20,817 sex-specific drug risks

“Sex differences in pharmacokinetics predict adverse drug reactions in women” ([14])

Study/Analysis

Pharmacokinetic differences by sex are linked to sex-specific adverse drug reactions using data procured from ISI Web of Science and PubMed

Molecular Association

“Gender differences in the effects of cardiovascular drugs” [18]

Study/Analysis

Sex influences on pharmacokinetics, pharmacodynamics, and other physiological factors are reviewed for cardiovascular drug response

“Brd4-bound enhancers drive cell-intrinsic sex differences in glioblastoma” [150]

Study/Analysis

Sex-specific epigenetic signatures are identified in GBM mouse astrocytes and human glioblastoma stem cells

“Sex-Dependent Gene Co-Expression in the Human Body” [25]

Study/Analysis

Across-tissue RNAseq analysis finds co-expression to be highly sex-dependent

Networks

“Population-scale identification of differential adverse events before and during a pandemic” [9]

Study/Analysis

Sex-specific desparities are presented in network analysis of adverse drug events before and during COVID-19 pandemic

“Gene regulatory network analysis identifies sex-linked differences in colon cancer drug metabolism” [17]

Analysis using PANDA and LIONESS

Molecular differences investigated using sex-specific networks to uncover role in metabolism of drugs in colon cancer

“Sex Differences in Gene Expression and Regulatory Networks across 29 Human Tissues” [151]

Analysis using LIONESS

Sex biases are found in patient-specific networks in every tissue and by disease

“Detecting phenotype-driven transitions in regulatory network structure” [152]

Analysis using ALPACA

Sexual dimorphism are investigated in human breast tissue gene expression networks

Ligand-Binding Prediction

“3D pharmacophoric similarity improves multi adverse drug event identification in pharmacovigilance” [165]

Study/Analysis

Pharmaceutical 3D structure similarity predictions are combined with adverse drug events as a method that may be applied for comparing safety by sex-aware reporting

Experimental

“Sexual differentiation of central vasopressin and vasotocin systems in vertebrates: different mechanisms, similar endpoints” [153]

Study/Analysis

Rat model is used in comparison with human model to compare sex-bias of common neuropsychiatric drug targets

  1. Studies, tools, and databases that have taken sex into account for drug repurposing are described here in this table. The main method is listed (as described in Table 1) as well as examples and a short explanation of how the method integrated sex-specific awareness