# Plasma Lipidomics Profiling of Developmental Dysplasia of the Hip in Tibet Plateau

## TL;DR

This study identifies unique lipid profiles in infants with hip dysplasia on the Tibetan Plateau, suggesting potential biomarkers for early diagnosis.

## Contribution

The first lipidomics profiling study of developmental dysplasia of the hip, identifying potential diagnostic lipid markers.

## Key findings

- Lipidomics profiles differ significantly between infants with DDH and healthy controls.
- Triacylglycerol and phosphatidylethanolamine species show distinct metabolic shifts in DDH.
- TAG(17:0/18:1/20:1) and TAG(17:0/17:0/17:0) may serve as potential diagnostic markers for DDH.

## Abstract

Developmental dysplasia of the hip (DDH) is a prevalent pediatric condition with a multifactorial etiology. Its incidence varies geographically, with notably higher rates observed on the Tibet plateau. This study was performed to evaluate the lipidomics signatures associated with DDH by analyzing plasma samples.

Fifty infants were recruited, including 25 diagnosed with DDH and 25 age‐matched healthy controls. In addition to plasma samples, comprehensive laboratory test results and medical records were collected for each participant. An untargeted lipidomics profiling approach was employed to identify distinguishing metabolic signatures.

Lipidomics profiles differed significantly between patients with DDH and healthy controls. Several differential metabolites were identified, including triacylglycerol (TAG)(17:0/18:1/20:1), TAG(17:0/17:0/17:0), phosphatidylethanolamine (PE)(10:0/26:4), TAG(17:0/18:0/18:0), TAG(16:0/17:0/22:1), TAG(16:0/18:0/22:0), TAG(17:0/19:0/19:0), TAG(13:0/20:0/20:0), TAG(18:0/18:0/22:0), and TAG(16:0/20:0/20:0). The primary lipid species showing differences were TAGs and PE.

Distinct shifts in lipidomics profiles were observed in infants with DDH. To the best of our knowledge, this study is the first to explore lipidomics signatures in patients with DDH. The combined assessment of TAG(17:0/18:1/20:1) and TAG(17:0/17:0/17:0) may serve as a potential diagnostic tool for DDH.

Overall workflow of this study.