Evidence map›Paper›PMID 40968851›Full record

ArticleSensors (Basel, Switzerland)2025

Rapid, Precise, and Clinically Relevant Quantification of Urinary Albumin and Creatinine Using a NanoDrop UV/Vis Spectrophotometer.

Keith E Dias, Karly C Sourris, Jay C Jha, Karin Jandeleit-Dahm, Bayden R Wood

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Keith E DiasMonash Biospectroscopy Group, School of Chemistry, Monash University, Clayton, VIC 3800, Australia.
Karly C SourrisDepartment of Diabetes, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia.
Jay C JhaDepartment of Diabetes, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia.ORCID 0000-0002-2764-2930
Karin Jandeleit-DahmMonash Biospectroscopy Group, School of Chemistry, Monash University, Clayton, VIC 3800, Australia.ORCID 0000-0003-2192-5822
Bayden R WoodMonash Biospectroscopy Group, School of Chemistry, Monash University, Clayton, VIC 3800, Australia.ORCID 0000-0003-3581-447X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Albuminuria is a sensitive biomarker of kidney dysfunction, and the albumin/creatinine ratio (ACR) is an essential measure for monitoring diabetic kidney disease (DKD). Abnormal levels can indicate a propensity for progressive renal failure and other complications such as cardiovascular diseases. This study employed UV/Visible spectroscopy to analyze aqueous urine samples spiked with bovine serum albumin (BSA) and creatinine at clinically relevant concentrations (0-30 mg/L for albumin and 600-1800 mg/L for creatinine) using a multivariate method. UV/Visible spectra of co-spiked samples recorded in triplicate revealed distinct bands at 229 nm and 249 nm, corresponding to BSA and creatinine, respectively, alongside other amino acid bands. Partial Least Squares Regression (PLS-R) analysis for BSA yielded a Root Mean Square Error of Calibration (RMSEC) and Cross-Validation (RMSECV) values of 66.93 and 73.92 mg/L, respectively. For creatinine, RMSEC and RMSECV values were 244.32 and 275.65 mg/L, respectively. Prediction models for both BSA and creatinine compared to ELISA demonstrated a robust performance with R

Indexed as

AlbuminuriaCreatinineAnimalsBiomarkersCattleDiabetic NephropathiesHumansLeast-Squares AnalysisLimit of DetectionReproducibility of ResultsSerum Albumin, BovineSpectrophotometry, UltravioletBiomarkersCreatinineSerum Albumin, Bovinediabetic kidney diseaseurinary albuminUV/Vis spectroscopy

Identifiers

PMID40968851
PMCPMC12157879

What Socratic holds

Textmetadata
LicenceCC BY
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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.