Evidence map›Paper›PMID 31818021›Full record

ArticleNutrients2019

Effect of Low-Protein Diet and Inulin on Microbiota and Clinical Parameters in Patients with Chronic Kidney Disease.

Silvia Lai, Alessio Molfino, Massimo Testorio, Adolfo M Perrotta, Annachiara Currado, Giovanni Pintus, Daniele Pietrucci, Valeria Unida, Davide La Rocca, Silvia Biocca and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 9% 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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
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  12. Gut-kidney axis: Dysbiosis and renal disease.World journal of nephrology · 2026
    Review
  13. Article
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  16. Microbiota-gut-kidney axis in health and renal disease.International journal of biological sciences · 2026
    Review
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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

11 authors at 2 institutions in 1 country.

Silvia LaiDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Alessio MolfinoDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Massimo TestorioDepartment of Obstetrical-Gynecological Sciences and Urologic Sciences, Unit of Nephrology, Sapienza University of Rome, 00185 Rome, Italy.
Adolfo M PerrottaDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Annachiara CurradoDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Giovanni PintusDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Daniele PietrucciDepartment of Biology, Tor Vergata University of Rome, 00133 Rome, Italy.
Valeria UnidaDepartment of Biology, Tor Vergata University of Rome, 00133 Rome, Italy.
Davide La RoccaDepartment of Biology, Tor Vergata University of Rome, 00133 Rome, Italy.
Silvia BioccaDepartment of Systems Medicine, Tor Vergata University of Rome, 00133 Rome, Italy.
Alessandro DesideriDepartment of Biology, Tor Vergata University of Rome, 00133 Rome, Italy.ORCID 0000-0003-1541-4217
Sapienza University of Rome · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe gut microbiota has coevolved with humans for a mutually beneficial coexistence and plays an important role in health and disease. A dysbiotic gut microbiome may contribute to progression to chronic kidney disease (CKD) and CKD-related complications such as cardiovascular disease. Microbiota modulation through the administration of prebiotics may represent an important therapeutic target.

aimWe sought to evaluate the effects of a low-protein diet (LPD) (0.6 g/kg/day) with or without the intake of the prebiotic inulin (19 g/day) on microbiota and clinical parameters in CKD patients. MATERIALS AND

methodsWe performed a longitudinal, prospective, controlled, and interventional study on 16 patients: 9 patients treated with LPD (0.6 g/kg/day) and inulin (19 g/day) and 7 patients (control group) treated only with LPD (0.6 g/kg/day). Clinical evaluations were performed and fecal samples were collected for a subsequent evaluation of the intestinal microbiota in all patients. These tests were carried out before the initiation of LPD, with or without inulin, at baseline (T0) and at 6 months (T2). The microbiota of 16 healthy control (HC) subjects was also analyzed in order to identify potential dysbiosis between patients and healthy subjects.

resultsGut microbiota of CKD patients was different from that of healthy controls. The LPD was able to significantly increase the frequencies of Akkermansiaceae and Bacteroidaceae and decrease the frequencies of Christensenellaceae, Clostridiaceae, Lactobacillaceae, and Pasteurellaceae. Only Bifidobacteriaceae were increased when the LPD was accompanied by oral inulin intake. We showed a significant reduction of serum uric acid (SUA) and C-reactive protein (CRP) in patients treated with LPD and inulin (

conclusionsLPD, associated or not with inulin, modified gut microbiota and modulated inflammatory and metabolic parameters in patients with CKD. Our results suggest that interventions attempting to modulate the gut microbiome may represent novel strategies to improve clinical outcomes in CKD patients and may provide useful therapeutic effects.

Indexed as

Diet, Protein-RestrictedGastrointestinal MicrobiomeControlled Before-After StudiesC-Reactive ProteinFecesHealth SurveysHumansInulinLongitudinal StudiesNADPH OxidasesProspective StudiesRenal Insufficiency, ChronicTumor Necrosis Factor-alphaUric AcidC-Reactive ProteinInulinNADPH OxidasesTumor Necrosis Factor-alphaUric Acidchronic kidney diseaseendothelial dysfunctioninulinlow-protein dietmicrobiotaprebiotic therapy

Identifiers

PMID31818021
PMCPMC6950025
OpenAlexW2994526710

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.