Evidence map›Paper›PMID 38255818›Full record

ArticleInternational journal of molecular sciences2024

Evaluating the State of Glomerular Disease by Analyzing Urinary Sediments: mRNA Levels and Immunofluorescence Staining for Various Markers.

Kojiro Yamamoto, Takashi Oda, Takahiro Uchida, Hanako Takechi, Naoki Oshima, Hiroo Kumagai

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. 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
1.4field-weighted citation impact, top 19% of its field
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, 4 citations in OpenAlex.

  1. Article
  2. An interpretable machine learning model for preoperative prediction of renal mass malignancy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  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

6 authors at 2 institutions in 1 country.

Kojiro YamamotoDepartment of Nephrology and Endocrinology, National Defense Medical College, Tokorozawa 359-8513, Japan.
Takashi OdaDepartment of Nephrology, Tokyo Medical University Hachioji Medical Center, Hachioji 193-0998, Japan.
Takahiro UchidaDepartment of Nephrology, Tokyo Medical University Hachioji Medical Center, Hachioji 193-0998, Japan.
Hanako TakechiDepartment of Nephrology and Endocrinology, National Defense Medical College, Tokorozawa 359-8513, Japan.
Naoki OshimaDepartment of Nephrology and Endocrinology, National Defense Medical College, Tokorozawa 359-8513, Japan.
Hiroo KumagaiDepartment of Nephrology and Endocrinology, National Defense Medical College, Tokorozawa 359-8513, Japan.
National Defense Medical College · JPTokyo Medical University Hachioji Medical Center · JP

Funding

JSPS KAKENHI 23590702
6 · The paper itself

Abstract

Renal biopsy is the gold standard for making the final diagnosis and for predicting the progression of renal disease, but monitoring disease status by performing biopsies repeatedly is impossible because it is an invasive procedure. Urine tests are non-invasive and may reflect the general condition of the whole kidney better than renal biopsy results. We therefore investigated the diagnostic value of extensive urinary sediment analysis by immunofluorescence staining for markers expressed on kidney-derived cells (cytokeratin: marker for tubular epithelial cells, synaptopodin: marker for podocytes, claudin1: marker for parietal epithelial cells, CD68: marker for macrophages (MΦ), neutrophil elastase: marker for neutrophils). We further examined the expression levels of the mRNAs for these markers by real-time reverse transcription polymerase chain reaction. We also examined the levels of mRNAs associated with the M1 (iNOS, IL-6) and M2 (CD163, CD204, CD206, IL-10) MΦ phenotypes. Evaluated markers were compared with clinical and histological findings for the assessment of renal diseases. Claudin1- and CD68-positive cell counts in urinary sediments were higher in patients with glomerular crescents (especially cellular crescents) than in patients without crescents. The relative levels of mRNA for CD68 and the M2 MΦ markers (CD163, CD204, CD206, and IL-10) in urinary sediments were also higher in patients with glomerular crescents. These data suggest that immunofluorescence staining for claudin1 and CD68 in urinary sediments and the relative levels of mRNA for CD68 and M2 MΦ markers in urinary sediments are useful for evaluating the state of glomerular diseases.

Indexed as

Kidney DiseasesUrinary TractFluorescent Antibody TechniqueHumansInterleukin-10KidneyInterleukin-10claudin1M2 macrophagemacrophageparietal epithelial cellurinary sediment

Identifiers

PMID38255818
PMCPMC10815027
OpenAlexW4390662792

What OpenQuestion holds

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Registered trials

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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.