Evidence map›Paper›PMID 39193129›Full record

ArticleClinical mass spectrometry (Del Mar, Calif.)

Multiplexed analysis of steroid hormones in saliva by LC-MS/MS with 2-hydrazinopyridine derivatization.

Nirosa Nadarajah, Øyvind Skadberg, Joanne Adaway, Cato Brede

Erratum issuedAbstract read
In one paragraph

Article in Clinical mass spectrometry (Del Mar, Calif.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Nirosa NadarajahFaculty of Health Sciences, Oslo and Akershus University College of Applied Sciences, PO Box 4, NO-0130 Oslo, Norway.
Øyvind SkadbergDepartment of Medical Biochemistry, Stavanger University Hospital, PO Box 8100, NO-4068 Stavanger, Norway.
Joanne AdawayDepartment of Clinical Biochemistry, University Hospital of South Manchester NHS Foundation Trust, Southmoor Road, Wythenshawe, Manchester M23 9LT, UK.
Cato BredeDepartment of Medical Biochemistry, Stavanger University Hospital, PO Box 8100, NO-4068 Stavanger, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: LC-MS/MS methods for multiplexed analysis of steroid hormones in saliva are useful research tools in endocrinology, but require sensitive detection. Objective: To explore the use of hydrazide and hydrazine derivatization to improve sensitivity of detection for ketosteroids. On development and validation of a sample preparation method based on robot pipetting in the 96-well format we intended to then establish normal reference ranges for women and men, with saliva collected both in the early morning and late at night. Method: Four hydrazides and one hydrazine were evaluated for their effectiveness as derivatization reagents based on the comparative signal response and efficacy of LC separation of five ketosteroid hydrazones via a methanol gradient mixed with either 0.2% formic acid or 0.1% ammonium hydroxide. Processing of saliva via liquid-liquid extraction (LLE) was optimized by examining variations in both extraction solvent polarity and protein precipitation reagents intended to inhibit emulsion. Results: LLE using 10 % butanol in methyl Conclusion: Tannic acid is a novel and effective protein precipitation reagent in bioanalytical sample preparation. The validated method was used in the establishment of reference ranges, the success of which indicated that the method is suitable for Cushing's screening and has potential as a novel analytical research tool.

Indexed as

DerivatizationEndocrinologyExtractionLiquid chromatographyMass spectrometrySalivaSteroid hormone

Identifiers

PMID39193129
PMCPMC11322771

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.