Evidence map›Paper›PMID 39888261›Full record

ArticleChemistry & biodiversity2025

Detection of Fast Decliner of Diabetic Kidney Disease Using Chiral Amino Acid Profiling: A Pilot Study.

Yosuke Hirakawa, Tomonori Kimura, Shinsuke Sakai, Masayuki Mizui, Masashi Mita, Yoshitaka Isaka, Masaomi Nangaku, Reiko Inagi

Abstract read
In one paragraph

Article in Chemistry & biodiversity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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.

Yosuke HirakawaDivision of Nephrology and Endocrinology, the University of Tokyo Graduate School of Medicine, Bunkyo-ku, Japan.ORCID https://orcid.org/0000-0001-9238-650X
Tomonori KimuraDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Shinsuke SakaiDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Masayuki MizuiDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Masashi MitaKAGAMI, Inc., Ibaraki, Japan.
Yoshitaka IsakaDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Masaomi NangakuDivision of Nephrology and Endocrinology, the University of Tokyo Graduate School of Medicine, Bunkyo-ku, Japan.
Reiko InagiDivision of Chronic Kidney Disease Pathophysiology, The University of Tokyo Graduate School of Medicine, Bunkyo-ku, Japan.ORCID https://orcid.org/0000-0001-7032-7736

Funding

Center of Innovation Science and Technology-based Radical Innovation and Entrepreneurship Program (COI STREAM)
6 · The paper itself

Abstract

Biomarkers for the prediction of diabetic kidney disease are still unsatisfactory. Although D-amino acids have been shown to reflect kidney conditions, their efficacy in treating diabetic kidney disease (DKD) has not been demonstrated. This study explored the potential role of D-amino acids as progression markers for DKD, an aspect not addressed previously. We performed comprehensive D-amino acid measurements and collected the longitudinal estimated glomerular filtration rate (eGFR) data of 135 patients. We defined fast decliners (FDs) as patients exhibiting >10% decline from baseline eGFR per year and compared the D-amino acid levels of FDs and non-FDs. Then, we verified that D-amino acids could predict FDs independent of creatinine levels. In patients with diabetic kidney disease, D-serine, D-alanine, and D-proline were only detected in the blood, while 15 D-amino acids were detected in the urine. Using supervised orthogonal partial least squares analysis, blood D-serine and urine D-amino acid levels were identified as features characterizing diabetic kidney disease. Baseline blood D-serine levels and ratios did not differ between the FD and non-FD groups; however, short-term changes in blood D-serine levels differed. This study emphasized the significance of D-serine as a prognostic marker for DKD, an aspect not identified in previous research.

Indexed as

Amino AcidsDiabetic NephropathiesAgedBiomarkersFemaleGlomerular Filtration RateHumansMaleMiddle AgedPilot ProjectsStereoisomerismAmino AcidsBiomarkersdiabetic kidney disease | D‐amino acid | D‐serine | fast decliner

Identifiers

PMID39888261
PMCPMC12168192

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.