Evidence map›Paper›PMID 32316931›Full record

ArticleBMC nephrology2020

Factors of microinflammation in non-diabetic chronic kidney disease: a pilot study.

Valerie Olivier, Catherine Dunyach-Remy, Pierre Corbeau, Jean-Paul Cristol, Thibault Sutra, Stephane Burtey, Jean-Philippe Lavigne, Olivier Moranne

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Valerie OlivierDepartment of Nephrology - Dialysis - Apheresis, Caremeau Hospital, University Montpellier-Nîmes, CHU Nîmes, Nimes, France. valerie.olivier@unige.ch.
Catherine Dunyach-RemyDepartment of Microbiology and Hospital Hygiene, U1047, INSERM, University of Montpellier, CHU Nîmes, Nîmes, France.
Pierre CorbeauUMR9002, Institute for Human Genetics, CNRS-University of Montpellier, Montpellier, France.
Jean-Paul CristolPhyMedExp, INSERM, CNRS, University of Montpellier, Montpellier, France.
Thibault SutraPhyMedExp, INSERM, CNRS, University of Montpellier, Montpellier, France.
Stephane BurteyC2VN, INSERM 1263, INRA 1260, Aix-Marseille University, Marseille, France.
Jean-Philippe LavigneDepartment of Microbiology and Hospital Hygiene, U1047, INSERM, University of Montpellier, CHU Nîmes, Nîmes, France.
Olivier MoranneDepartment of Nephrology - Dialysis - Apheresis, Caremeau Hospital, University Montpellier-Nîmes, CHU Nîmes, Nimes, France.
Centre National de la Recherche Scientifique · FRInserm · FRCentre Hospitalier Universitaire de Nîmes · FRUniversité de Montpellier · FR

Funding

University hospital of Nimes "Thématiques phares et Thématiques émergentes"
6 · The paper itself

Abstract

backgroundThe relationships between digestive bacterial translocation, uremic toxins, oxidative stress and microinflammation in a population of chronic kidney disease (CKD) patients without metabolic nor inflammatory disease are unknown.

methodsBacterial translocation, uremic toxins, oxidative stress, and inflammation were assessed by measuring plasma levels of 16S  ribosomal DNA (16S rDNA), p-cresyl sulfate (PCS), indoxyl sulfate (IS), indole acetic acid (IAA), F2-isoprostanes, hsCRP and receptor I of TNFα (RITNFα) in patients without metabolic nor inflammatory disease. 44 patients with CKD from stage IIIB to V and 14 controls with normal kidney function were included from the nephrology outpatients. 11 patients under hemodialysis (HD) were also included. Correlations between each factor and microinflammation markers were studied.

results16S rDNA levels were not increased in CKD patients compared to controls but were decreased in HD compared to non-HD stage V patients (4.7 (3.9-5.3) vs 8.6 (5.9-9.7) copies/μl, p = 0.002). IS, PCS and IAA levels increased in HD compared to controls (106.3 (73.3-130.4) vs 3.17 (2.4-5.1) μmol/l, p < 0.0001 for IS; 174.2 (125-227.5) vs 23.7 (13.9-52.6) μmol/l, p = 0.006 for PCS; and 3.7 (2.6-4.6) vs 1.3 (1.0-1.9) μmol/l, p = 0.0002 for IAA). Urea increased in non-HD stage V patients compared to controls (27.6 (22.7-30.9) vs 5.4 (4.8-6.4) mmol/l, p < 0.0001) and was similar in HD and in non-HD stage V (19.3 (14.0-24.0) vs 27.6 (22.7-30.9) mmol/l, p = 0.7). RITNFα levels increased in HD patients compared to controls (12.6 (9.6-13.3) vs 1.1 (1.0-1.4) ng/ml, p < 0.0001); hsCRP levels increased in non-HD stage V patients compared to controls (2.9 (1.4-8.5) vs 0.8 (0.5-1.7) mg/l, p = 0.01) and remained stable in HD patients (2.9 (1.4-8.5) vs 5.1 (0.9-11.5) mg/l, p = 1). F2-isoprostanes did not differ in CKD patients compared to controls. Among uremic toxins, IS and urea were correlated to RITNFα (r = 0.8, p < 0.0001 for both). PCS, IS and urea were higher in patients with hsCRP≧5 mg/l (p = 0.01, 0.04 and 0.001 respectively). 16S rDNA, F2-isoprostanes were not correlated to microinflammation markers in our study.

conclusionsIn CKD patients without any associated metabolic nor inflammatory disease, only PCS, IS, and urea were correlated with microinflammation. Bacterial translocation was decreased in patients under HD and was not correlated to microinflammation.

Indexed as

Oxidative StressRenal Insufficiency, ChronicBacterial TranslocationBiomarkersC-Reactive ProteinFemaleGastrointestinal MicrobiomeHumansIndicanIndoleacetic AcidsInflammationKidney Function TestsMalePatient AcuityPilot ProjectsRenal DialysisBiomarkersC-Reactive ProteinIndicanindoleacetic acidIndoleacetic AcidsSulfuric Acid EstersBacterial translocationCKDMicroinflammationOxidative stressUremic toxins

Identifiers

PMID32316931
PMCPMC7175551
OpenAlexW3017322299

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.