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Related Experiment Video

Updated: Jan 30, 2026

Endoscopic Endonasal Trans-sphenoidal Approach: Minimally Invasive Surgery for Pituitary Adenomas
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Metabolomics-A Promising Approach to Pituitary Adenomas.

Oana Pînzariu1, Bogdan Georgescu2, Carmen E Georgescu1,3

  • 16th Department of Medical Sciences, Department of Endocrinology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

Frontiers in Endocrinology
|February 2, 2019
PubMed
Summary
This summary is machine-generated.

Metabolomics reveals altered amino acid metabolism in pituitary adenomas (PA). Specific metabolites can differentiate PA from healthy tissue and serve as biomarkers for conditions like Cushing's disease, aiding diagnosis and treatment.

Keywords:
MALDI-MSmagnetic resonance spectroscopy (MRS)mass spectrometry (MS)metabolitemetabolomicsnuclear magnetic resonance (NMR)pituitary adenoma

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Area of Science:

  • Endocrinology
  • Biochemistry
  • Oncology

Background:

  • Metabolomics analyzes low-molecular-weight metabolites to understand disease mechanisms, including endocrine tumors.
  • Metabolomic profiling in pituitary disorders is emerging, showing promise for identifying biomarkers and understanding cellular signaling.
  • Pituitary adenomas (PA) are a significant area for metabolomic research.

Purpose of the Study:

  • To review the metabolomic profile of pituitary adenomas (PA).
  • To summarize the contributions of metabolomics in understanding PA.
  • To identify potential biomarkers for PA diagnosis and treatment.

Main Methods:

  • Systematic review of studies on metabolomic aspects of PA using PubMed, Web of Science, and Scopus.
  • Analysis of traditional metabolomic techniques like liquid chromatography tandem mass spectrometry (LC-MS/MS) and nuclear magnetic resonance (NMR) spectrometry.
  • Exploration of advanced techniques such as ultra-high mass resolution matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI).

Main Results:

  • Amino acid metabolism is significantly altered in PA.
  • Specific metabolites (e.g., N-acetyl aspartate, creatine) differentiate PA from healthy tissue.
  • Metabolite biomarkers identified for Cushing's disease, prolactinoma, and unclassified PA, with distinct up/down-regulation patterns.
  • MALDI-MSI shows potential for intraoperative tumor delineation and preservation of pituitary function.

Conclusions:

  • Advanced metabolomics techniques can improve PA diagnosis and therapeutic strategies.
  • Identification of specific biomarkers and novel pathogenic mechanisms is crucial for PA management.
  • Ultra-high mass resolution MALDI-MSI is a valuable tool for neurosurgical treatment of pituitary tumors.