Evidence map›Paper›PMID 28676642›Full record

ArticleScientific reports2017

Label Free Detection of Sensitive Mid-Infrared Biomarkers of Glomerulonephritis in Urine Using Fourier Transform Infrared Spectroscopy.

Mei-Ching Yu, Peter Rich, Liberty Foreman, Jennifer Smith, Mei-Shiuan Yu, Anisha Tanna, Vinod Dibbur, Robert Unwin, Frederick W K Tam

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 56 citations in OpenAlex.

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  9. The Potential Use of Near- and Mid-Infrared Spectroscopy in Kidney Diseases.International journal of molecular sciences · 2023
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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

9 authors at 3 institutions in 2 countries.

Mei-Ching YuDivision of Pediatric Nephrology, Department of Pediatrics, Chang Gung Memorial Hospital at Lin-Kou and Chang Gung University, Taoyuan, Taiwan.
Peter RichInstitute of Structural and Molecular Biology, Faculty of Life Science, University College London, London, United Kingdom.
Liberty ForemanInstitute of Structural and Molecular Biology, Faculty of Life Science, University College London, London, United Kingdom.
Jennifer SmithImperial College Kidney and Transplant Centre, Renal and Vascular Inflammation Section, Department of Medicine, Imperial College London, London, United Kingdom.
Mei-Shiuan YuDepartment of Microbiology, School of Medicine, Tzu-Chi University, Hualien, Taiwan.
Anisha TannaImperial College Kidney and Transplant Centre, Renal and Vascular Inflammation Section, Department of Medicine, Imperial College London, London, United Kingdom.
Vinod DibburImperial College Kidney and Transplant Centre, Renal and Vascular Inflammation Section, Department of Medicine, Imperial College London, London, United Kingdom.
Robert UnwinUCL Center for Nephrology, University College London Medical School, Royal Free Campus and Hospital, London, United Kingdom.
Frederick W K TamImperial College Kidney and Transplant Centre, Renal and Vascular Inflammation Section, Department of Medicine, Imperial College London, London, United Kingdom. f.tam@imperial.ac.uk.
Imperial College London · GBUniversity College London · GBInstitute of Structural and Molecular Biology · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More reliable biomarkers using near-patient technologies are needed to improve early diagnosis and intervention for patients with renal disease. Infrared (IR) vibrational spectroscopy/microspectroscopy is an established analytical method that was first used in biomedical research over 20 years ago. With the advances in instrumentation, computational and mathematical techniques, this technology has now been applied to a variety of diseases; however, applications in nephrology are just beginning to emerge. In the present study, we used attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to analyze urine samples collected from rodent models of inflammatory glomerulonephritis (GN) as well as from patients with crescentic GN, with the aim of identifying potential renal biomarkers; several characteristic mid-IR spectral markers were identified in urine samples. Specifically, a 1545 cm

Indexed as

Adrenal Cortex HormonesAdultAgedAged, 80 and overAnimalsBiomarkersDisease Models, AnimalEarly DiagnosisFemaleGlomerulonephritisHumansMaleMiceMiddle AgedPrognosisRatsAdrenal Cortex HormonesBiomarkers

Identifiers

PMID28676642
PMCPMC5496858
OpenAlexW2731599707

What OpenQuestion 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 OpenQuestion graph.