Evidence map›Paper›PMID 38130465›Full record

ArticleJournal of the Endocrine Society2023

Multiplexed Serum Steroid Profiling Reveals Metabolic Signatures of Subtypes in Congenital Adrenal Hyperplasia.

Jaeyoon Shim, Chang Ho Ahn, Seung Shin Park, Jongsung Noh, Chaelin Lee, Sang Won Lee, Jung Hee Kim, Man Ho Choi

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Jaeyoon ShimCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology, Seoul 02792, Korea.
Chang Ho AhnDepartment of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do 13620, Korea.
Seung Shin ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Korea.
Jongsung NohCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology, Seoul 02792, Korea.
Chaelin LeeCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology, Seoul 02792, Korea.
Sang Won LeeDepartment of Chemistry, Korea University, Seoul 02841, Korea.
Jung Hee KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID https://orcid.org/0000-0003-1932-0234
Man Ho ChoiCenter for Advanced Biomolecular Recognition, Korea Institute of Science and Technology, Seoul 02792, Korea.ORCID https://orcid.org/0000-0003-1017-1156
Korea Institute of Science and Technology · KRSeoul National University · KRKorea University · KR

Funding

NIEHS NIH HHS 27300C0032
6 · The paper itself

Abstract

Context: Altered metabolic signatures on steroidogenesis may characterize individual subtypes of congenital adrenal hyperplasia (CAH), but conventional diagnostic approaches are limited to differentiate subtypes. Objective: We explored metabolic characterizations and identified multiple diagnostic biomarkers specific to individual subtypes of CAH. Methods: Liquid chromatography-mass spectrometry-based profiling of 33 adrenal steroids was developed and applied to serum samples obtained from 67 CAH patients and 38 healthy volunteers. Results: Within- and between-run precisions were 95.4% to 108.3% and 94.1% to 110.0%, respectively, while all accuracies were <12% and the correlation coefficients ( Conclusion: The metabolic signatures with specific steroids and their corresponding metabolic ratios may reveal individual CAH subtypes. Further investigations with more substantial sample sizes should be explored to enhance the clinical validity.

Indexed as

adrenal steroidscongenital adrenal hyperplasiacortisolhydroxylase deficiencymetabolic signatures

Identifiers

PMID38130465
PMCPMC10735290
OpenAlexW4390120432

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.