Evidence map›Paper›PMID 39369057›Full record

ArticleScientific reports2024

Urinary cyclophilin A as an early marker of chronic kidney disease with underlying type 2 diabetes.

Patutong Chatchawal, Patcharaporn Tippayawat, Thidarat Somdee, Sawinee Ngernpimai, Molin Wongwattanakul, Nattaya Sae-Ung, Sirirat Anutrakulchai, Ratthaphol Kraiklang

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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.

Patutong Chatchawal *Center for Innovation and Standard for Medical Technology and Physical Therapy, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand.
Patcharaporn Tippayawat *Chronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET) Project, Khon Kaen University, Khon Kaen, Thailand.
Thidarat SomdeeFaculty of Public Health, Mahasarakham University, Maha Sarakham, Thailand.
Sawinee NgernpimaiCenter for Innovation and Standard for Medical Technology and Physical Therapy, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand.
Molin WongwattanakulCenter for Innovation and Standard for Medical Technology and Physical Therapy, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand.
Nattaya Sae-UngChronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET) Project, Khon Kaen University, Khon Kaen, Thailand.
Sirirat AnutrakulchaiChronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET) Project, Khon Kaen University, Khon Kaen, Thailand.
Ratthaphol KraiklangChronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET) Project, Khon Kaen University, Khon Kaen, Thailand. ratthaphol@kku.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclophilin A (CypA) is a novel renal inflammation biomarker, with levels altered in various diseases, particularly in patients with diabetes mellitus (DM) and kidney damage. This study aimed to investigate the correlation between urinary cyclophilin A (uCypA) and chronic kidney disease (CKD) conditions with and without type 2 diabetes mellitus (T2DM) using an in-house enzyme-linked immunoassay (ELISA) method. A uCypA strip-test prototype was also developed. An indirect ELISA was performed to determine the uCypA levels. A 0.48 µg/mL uCypA cutoff differentiated healthy patients from those with early-stage CKD (stages I and II). The uCypA levels were significantly increased in patients with progression of renal deterioration, especially in the T2DM with late-stage CKD group, compared to the control group. Fasting blood sugar (FBS), estimated glomerular filtration rate (eGFR), albumin/creatinine ratio, and metformin use were associated with uCypA levels. Multinomial logistic regression analysis revealed an association between uCypA levels and T2DM diagnosed for over five years and early-stage CKD. This finding shows that uCypA could be used as a biomarker for distinguishing early-stage CKD as well as T2DM complications, which is beneficial for patients to be aware of their health status and change their behavior to slow kidney deterioration.

Indexed as

BiomarkersCyclophilin ADiabetes Mellitus, Type 2Renal Insufficiency, ChronicAdultAgedDiabetic NephropathiesFemaleGlomerular Filtration RateHumansMaleMiddle AgedBiomarkersCyclophilin A

Identifiers

PMID39369057
PMCPMC11455882

What OpenQuestion 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 OpenQuestion graph.