Evidence map›Paper›PMID 40581952›Full record

ReviewChemistry & biodiversity2025

Theoretical Analysis of d-Serine and d-Asparagine as Biomarkers for Glomerular Filtration Rate.

Ryo Tanaka, Yoichi Kakuta, Norio Nonomura, Tomonori Kimura

Abstract readReview
In one paragraph

Review 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. Alterations of Plasma Metabolites Associated with Sickle Cell Trait.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  2. Review
  3. d-Alanine, a Circadian Metabolite that Regulates Glucose Metabolism and Viral Infection.Chembiochem : a European journal of chemical biology · 2025
    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

4 authors.

Ryo TanakaDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID https://orcid.org/0000-0003-1144-7820
Yoichi KakutaDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Norio NonomuraDepartment of Urology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Tomonori KimuraDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID https://orcid.org/0000-0001-8186-094X

Funding

Japan Society for the Promotion of Science 22K19414
6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a major global health issue, requiring accurate and noninvasive renal function assessment. Glomerular filtration rate (GFR) is the standard measure, but current methods, including inulin clearance and creatinine-based estimation, have limitations in accuracy, invasiveness, and practicality. We investigated d-serine and d-asparagine as novel endogenous biomarkers for GFR evaluation. Their clearance strongly correlates with inulin clearance, demonstrating high reliability and reduced muscle mass dependency compared to creatinine-based methods. Our findings suggest that d-amino acids offer a promising, less invasive alternative for precise renal function assessment, aiding early CKD detection and management. In addition, d-amino acids have recently been reported to be useful as biomarkers not only in the renal field but also in various other fields such as malignancy and infectious diseases. This article highlights the potential of d-amino acids in enhancing CKD diagnosis and management.

Indexed as

AsparagineGlomerular Filtration RateRenal Insufficiency, ChronicSerineBiomarkersHumansAsparagineBiomarkersSerinebiomarkerchronic kidney diseased‐amino acidsglomerular filtration rate

Identifiers

PMID40581952
PMCPMC12533796

What Socratic 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 Socratic graph.