Evidence map›Paper›PMID 41078803›Full record

ArticleACS omega2025

Application of ES-DMA-CPC for Comprehensive Molecular Profiling in Hemodialysis: A Focus on β2-Microglobulin.

Alice Chinghsuan Chang, Kuan-Hung Liu, Pi-Ju Fu, Hong-Ling Chen, Bin Hsu, Yu-Hsuan Yang, Fang-Hsin Lin, Szu-Hsueh Lai

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

8 authors.

Alice Chinghsuan ChangCenter for Measurement Standards, Industrial Technology Research Institute, Hsinchu 30011, Taiwan.ORCID https://orcid.org/0000-0003-2664-9759
Kuan-Hung LiuInstitute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 704007, Taiwan.
Pi-Ju FuCenter for Measurement Standards, Industrial Technology Research Institute, Hsinchu 30011, Taiwan.
Hong-Ling ChenDepartment of Chemistry, National Cheng Kung University, Tainan 70403, Taiwan.
Bin HsuDivision of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan.ORCID https://orcid.org/0000-0002-9561-2792
Yu-Hsuan YangDivision of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan.
Fang-Hsin LinCenter for Measurement Standards, Industrial Technology Research Institute, Hsinchu 30011, Taiwan.ORCID https://orcid.org/0000-0001-7543-2885
Szu-Hsueh LaiDepartment of Chemistry, National Cheng Kung University, Tainan 70403, Taiwan.ORCID https://orcid.org/0000-0001-9698-1496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulation of middle- and large-sized uremic toxins has been associated with frailty and mortality in hemodialysis patients. In clinical practice, immunological methods are used for the quantification of those toxins; however, the requirement for expensive antibodies and chemicals limits their clinical application. In this study, we propose an antibody-free analytical method, an electrospray differential mobility analyzer coupled with a condensation particle counter (ES-DMA-CPC), for the analysis of middle- and large-sized uremic toxins in spent dialysate collected from hemodialysis patients. When applied to the analysis of the middle-sized uremic toxin β2-microglobulin, the spent dialysate-based ES-DMA-CPC method shows a high correlation with the current gold standard, enzyme-linked immunosorbent assay, as well as the serum-based immunoturbidimetry. Additionally, ES-DMS-CPC simultaneously provides concentrations of molecules with a molecular weight range of 2.5-180 kDa, which offers possibilities for the study of the molecular profile in hemodialysis patients and for the quantification of the practical sieving performance of the dialyzer.

Identifiers

PMID41078803
PMCPMC12508947

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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.