Serum metabolic profiling study of endometriosis by using wooden-tip electrospray ionization mass spectrometry

In: Analytical Methods · 2015 · vol. 7(15) , pp. 6125–6132 · doi:10.1039/c5ay01312g · W1898759981
article OA: closed CC0 ⤵ 6 in-corpus citations
Full text JSON View on OpenAlex View at publisher
AI-generated summary by claude@2026-06, 2026-06-07

This study established a rapid serum metabolic profiling method using WT-ESI-MS for endometriosis analysis without extensive sample preparation or chromatography.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

AI-generated deep summary by claude@2026-06, 2026-06-07 · read from full text

The study developed a high-throughput serum metabolite fingerprinting method using wooden-tip electrospray ionization mass spectrometry (WT-ESI-MS) with little sample pre-treatment, no chromatography, and instrument cycle times under 5 minutes. Serum from endometriosis patients and healthy controls was analyzed with direct WT-ESI-MS using high-resolution ESI-Q-TOF-MS, and multivariate data analysis plus MS/MS were used to identify metabolites that differed between groups. Global metabolic profiling clearly distinguished endometriosis patients from healthy controls, and ten metabolites (up- or down-regulated) were reported as potential biomarkers linked to pathways including steroid hormone biosynthesis, glycerophospholipid and sphingolipid metabolism, pyruvate metabolism, bile acid biosynthesis, and androgen/estrogen metabolism. The paper’s main caveat is that it presents identified metabolites and pathway associations without providing detailed validation limitations within the abstract. This paper is centrally about endometriosis — it uses WT-ESI-MS serum metabolic profiling to distinguish patients from healthy controls and identify potential metabolite biomarkers and related metabolic pathways.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

A high throughput metabolite fingerprinting tool based on WT-ESI-MS has been established for the serum metabolic profiling study of endometriosis with little sample pre-treatment, no chromatography and instrument cycle times of less than 5 min.
Full text 1,394 characters · extracted from oa-doi-fallback · click to expand
Serum metabolic profiling study of endometriosis by using wooden-tip electrospray ionization mass spectrometry Abstract A high throughput metabolite fingerprinting tool based on wooden-tip electrospray ionization mass spectrometry (WT-ESI-MS) has been established for the serum metabolic profiling study of endometriosis with little sample pre-treatment, no chromatography and instrument cycle times of less than 5 min. Serum samples from endometriosis patients and healthy controls were analyzed by direct WT-ESI-MS with a high resolution ESI-Q-TOF-MS. The resulting data were analyzed by multivariate data analysis. MS/MS experiments were carried out to identify potential biomarkers. Global metabolic profiling and subsequent multivariate analysis clearly distinguished endometriosis patients from healthy controls. A total of ten metabolites, up-regulated or down-regulated, were identified which contribute to the progress of endometriosis. These promising identified biomarkers underpin the metabolic pathway including steroid hormone biosynthesis, glycerophospholipid metabolism, sphingolipid metabolism, pyruvate metabolism, bile acid biosynthesis, and androgen and estrogen metabolisms. Considering that a much higher throughput can be obtained without a chromatographic step, the present WT-ESI-MS method could be developed as a fast prognostic or diagnostic method for endometriosis.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

endometriosis

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (40)

Cited by (6)

Source provenance

openalex
last seen: 2026-06-04T00:00:01.174412+00:00
License: CC0 · commercial use OK