Molecular Mechanisms of Insulin Resistance in PCOS: A Scoping Review Summary

Mikołaj Kisiała's scoping review dataset summarizes molecular disturbances in insulin signaling and carbohydrate metabolism in Polycystic Ovary Syndrome (PCOS). The dataset includes evidence from peer-reviewed studies published between January 2018 and May 2025, sourced from PubMed, Embase, and Web of Science. It is a 67.7 KB Excel file last updated in April 2026.

Use Cases

• Literature synthesis on IRS/PI3K/AKT signaling defects in PCOS based on the described review findings.
• Mapping evidence gaps in human tissue studies of GLUT4 regulation in PCOS based on the described limitations.
• Analyzing associations between androgen receptor-mediated metabolic reprogramming and insulin resistance based on the described mechanisms.
• Identifying research priorities for multi-omics validation of inflammatory pathways in PCOS based on the described conclusions.

Strengths

• Data is derived from a systematic scoping review covering studies from 2018 to 2025.
• The dataset is licensed under CC-BY-4.0, allowing for open reuse and modification.
• The description details specific molecular pathways investigated, such as IRS/PI3K/AKT and GLUT4 regulation.

Limitations

• The dataset is 67.7 KB, indicating a very limited scope and likely summary-level data.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The description notes that evidence from human studies remains limited, with many mechanisms supported by rodent or cell models.

Provenance

Source

Mikołaj Kisiała via figshare.

Collection Method

Systematic scoping review of peer-reviewed studies from PubMed, Embase, and Web of Science.

Time Range

Studies published between January 2018 and May 2025.

Freshness

Last updated 2026-04-13 04:35:50.

Geography

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