Diverse Programmed Cell Death Patterns and Diagnostic Value in Osteoarthritis Analyzed by Integrative Multiomics Data.

Mingjie Wei; Xiangwen Shi; Wenbao Tang; Qian Lv; Yipeng Wu; Yongqing Xu

doi:10.2174/011574888x398652251128074957

January 14, 2026

Diverse Programmed Cell Death Patterns and Diagnostic Value in Osteoarthritis Analyzed by Integrative Multiomics Data.

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Key Points

The research aims to assess the diagnostic and classification value of programmed cell death (PCD) patterns in osteoarthritis (OA).
Conducted a multi-omics analysis of 13 PCD patterns
Identified PCD-related genes
Evaluated their potential as biomarkers for OA diagnostics
Highlighted diverse PCD patterns in osteoarthritis
Suggested several PCD-related genes as potential clinical biomarkers

Implication

Multi-omics analysis evaluates programmed cell death biomarkers in osteoarthritis, suggesting clinical applications.

Abstract

This multi-omics analysis of 13 PCD patterns provides a preliminary evaluation of the diagnostic and classification value of PCD-related genes in OA, highlighting potential biomarkers for clinical application.

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Cite This Study

Wei et al. (2026) studied this question.

synapsesocial.com/papers/6975b2c8feba4585c2d6e446 https://doi.org/10.2174/011574888x398652251128074957

View at Publisher

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Diverse Programmed Cell Death Patterns and Diagnostic Value in Osteoarthritis Analyzed by Integrative Multiomics Data.

Key Points

Implication

Abstract

Discussion

Cite This Study

Diverse Programmed Cell Death Patterns and Diagnostic Value in Osteoarthritis Analyzed by Integrative Multiomics Data.

Key Points

Implication

Abstract

Discussion

Cite This Study

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