Evidence map›Paper›PMID 34073647›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Multi-Solvent Extraction Procedure for the Pioneer Fecal Metabolomic Analysis-Identification of Potential Biomarkers in Stable Kidney Transplant Patients.

Soumaya Kouidhi, Nessrine Souai, Muhanad Alhujaily, Oumaima Zidi, Ameni Kochbati, Alaeddine Redissi, Tareg M Belali, Imene El Kossai, Jamelddine El Manaa, Ameur Cherif and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. 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
0.1field-weighted citation impact, top 57% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

12 authors at 3 institutions in 2 countries.

Soumaya KouidhiLBVBGR_LR11ES31, High Institute of Biotechnology of Sidi Thabet, University of Manouba, Ariana 2020, Tunisia.ORCID 0000-0002-3987-8617
Nessrine SouaiLBVBGR_LR11ES31, High Institute of Biotechnology of Sidi Thabet, University of Manouba, Ariana 2020, Tunisia.ORCID 0000-0002-6128-3185
Muhanad AlhujailyDepartment of Clinical Laboratory, College of Applied Medicine, University of Bisha, P.O. Box 551, Bisha 61922, Saudi Arabia.
Oumaima ZidiLBVBGR_LR11ES31, High Institute of Biotechnology of Sidi Thabet, University of Manouba, Ariana 2020, Tunisia.ORCID 0000-0003-2953-2193
Ameni KochbatiLBVBGR_LR11ES31, High Institute of Biotechnology of Sidi Thabet, University of Manouba, Ariana 2020, Tunisia.
Alaeddine RedissiLBVBGR_LR11ES31, High Institute of Biotechnology of Sidi Thabet, University of Manouba, Ariana 2020, Tunisia.
Tareg M BelaliFaculty of Applied Medical Sciences, University of Bisha, 255, Al Nakhil, Bisha 67714, Saudi Arabia.
Imene El KossaiUnit of Organ Transplant, Military Training Hospital, Tunis 1008, Tunisia.
Jamelddine El ManaaUnit of Organ Transplant, Military Training Hospital, Tunis 1008, Tunisia.
Ameur CherifLBVBGR_LR11ES31, High Institute of Biotechnology of Sidi Thabet, University of Manouba, Ariana 2020, Tunisia.
Wissem MnifDepartment of Chemistry, Faculty of Sciences and Arts in Balgarn, University of Bisha, P.O. Box 199, Bisha 61922, Saudi Arabia.ORCID 0000-0002-8123-4743
Amor MosbahLBVBGR_LR11ES31, High Institute of Biotechnology of Sidi Thabet, University of Manouba, Ariana 2020, Tunisia.ORCID 0000-0001-5642-8805
Manouba University · TNUniversity of Bisha · SAMilitary Hospital of Tunis · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic alteration plays a functional role in kidney allograft complications. Metabolomics is a promising high-throughput approach in nephrology but is still limited by the lack of overlap in metabolite coverage. We performed an untargeted fecal metabolomic analysis of forty stable kidney allograft recipients and twenty non-transplant controls. First, we applied the ultra-high performance liquid chromatography (UHPLC) analysis coupled with the Diod Array detector. The potential biomarkers were then collected and identified by gas chromatography-mass spectrometry (GCMS). In order to allow for complete coverage of the fecal polar and non-polar metabolites, the performance of five organic solvents with increasing polarity was investigated successively. UHPLC analysis revealed that the fecal metabolite profiles following the five extractions were significantly different between controls and kidney allografts. GC-MS analysis showed that the best predictors' metabolites belonged mainly to long-chain fatty acids, phenolic compounds, and amino acids. Collectively, our results showed the efficiency of our pioneer method to successfully discriminate stable kidney-transplant recipients from controls. These findings suggest that distinct metabolic profiles mainly affect fatty acid biosynthesis and amino acid metabolism. In such a context, the novel insights into metabolomic investigation may be a valuable tool that could provide useful new relevant biomarkers for preventing kidney transplant complications.

Indexed as

biomarkerskidney transplantationmetabolitesmetabolomics

Identifiers

PMID34073647
PMCPMC8229050
OpenAlexW3164545471

What Socratic holds

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LicenceCC BY
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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 Socratic graph.