Evidence map›Paper›PMID 42550228›Full record

ArticleAnalytical and bioanalytical chemistry2026

HILIC-MS/MS-based strategy for quantitative amino acid profiling in multiple biological matrices and its application in kidney disease samples.

Xiongwei Yin, Jean-Paul Decuypere, Djalila Mekahli, Bert Bammens, Rudi Vennekens, Erwin Adams, Ann Van Schepdael

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Xiongwei YinDepartment of Pharmaceutical and Pharmacological Sciences, Pharmaceutical Analysis, KU Leuven, O&N2, Herestraat 49 Bus 923, 3000, Leuven, Belgium.
Jean-Paul DecuyperePKD Research Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
Djalila MekahliPKD Research Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
Bert BammensDepartment of Nephrology, University Hospitals Leuven, Leuven, Belgium.
Rudi VennekensLaboratory of Ion Channel Research, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
Erwin AdamsDepartment of Pharmaceutical and Pharmacological Sciences, Pharmaceutical Analysis, KU Leuven, O&N2, Herestraat 49 Bus 923, 3000, Leuven, Belgium.
Ann Van SchepdaelDepartment of Pharmaceutical and Pharmacological Sciences, Pharmaceutical Analysis, KU Leuven, O&N2, Herestraat 49 Bus 923, 3000, Leuven, Belgium. ann.vanschepdael@kuleuven.be.ORCID http://orcid.org/0000-0002-9583-984X

Funding

China Scholarship Council 202108510041
6 · The paper itself

Abstract

Amino acid metabolism disorders have strong links to various kidney diseases, and the kidney is essential for maintaining systemic amino acid homeostasis. Given the lack of obvious clinical symptoms in the early stages of kidney disease, searching for reliable metabolic biomarkers is essential for early diagnosis. Endogenous AAs are widely present in human biological matrices, making it difficult to obtain analyte-free blank matrices for method validation. This poses challenges in the preparation of calibration standards, leading to uncertainty and reduced consistency in the results. This study aimed to develop a rapid hydrophilic interaction liquid chromatographic method coupled with tandem mass spectrometry. It could analyze 47 amino acids and related compounds, present in various biological matrices (human plasma, urine, and cyst fluids). The calibration curves were constructed by stripping each matrix to obtain a surrogate matrix. The slopes of the different calibration curves were systematically evaluated and the analytical results were compared with results obtained through the method of standard addition. The calibration curves established using both the standard addition method and the matrix stripping method were parallel, hence matrix stripping effectively mitigates matrix effects under a variety of matrix conditions, thereby assuring the accuracy and reliability of quantitative analysis results. To further investigate the applicability of this method to large-scale sample analysis, the analysis of plasma samples and urine samples obtained from patients with two types of kidney disease was performed.

Indexed as

Amino acidsCyst fluidLC-MS/MSMatrix effectPlasmaUrine

Identifiers

What OpenQuestion holds

Textmetadata
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.