Evidence map›Paper›PMID 36982359›Full record

ReviewInternational journal of molecular sciences2023

Biomarker-Development Proteomics in Kidney Transplantation: An Updated Review.

Vittorio Sirolli, Luca Piscitani, Mario Bonomini

Full text readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Characteristic changes in blood routine and peripheral blood lymphocyte subpopulations in recipients of different types of rejection.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
  5. Article
  6. Article
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

3 authors.

Vittorio SirolliNephrology and Dialysis Unit, Department of Medicine, G. d'Annunzio University, Chieti-Pescara, SS. Annunziata Hospital, 66013 Chieti, Italy.
Luca PiscitaniNephrology and Dialysis Unit, Department of Medicine, San Salvatore Hospital, 67100 L'Aquila, Italy.
Mario BonominiNephrology and Dialysis Unit, Department of Medicine, G. d'Annunzio University, Chieti-Pescara, SS. Annunziata Hospital, 66013 Chieti, Italy.ORCID 0000-0002-8466-6314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney transplantation (KT) is the optimal therapeutic strategy for patients with end-stage renal disease. The key to post-transplantation management is careful surveillance of allograft function. Kidney injury may occur from several different causes that require different patient management approaches. However, routine clinical monitoring has several limitations and detects alterations only at a later stage of graft damage. Accurate new noninvasive biomarker molecules are clearly needed for continuous monitoring after KT in the hope that early diagnosis of allograft dysfunction will lead to an improvement in the clinical outcome. The advent of "omics sciences", and in particular of proteomic technologies, has revolutionized medical research. Proteomic technologies allow us to achieve the identification, quantification, and functional characterization of proteins/peptides in biological samples such as urine or blood through supervised or targeted analysis. Many studies have investigated proteomic techniques as potential molecular markers discriminating among or predicting allograft outcomes. Proteomic studies in KT have explored the whole transplant process: donor, organ procurement, preservation, and posttransplant surgery. The current article reviews the most recent findings on proteomic studies in the setting of renal transplantation in order to better understand the effective potential of this new diagnostic approach.

Indexed as

Kidney TransplantationBiomarkersGraft RejectionHumansKidneyProteomicsBiomarkersallograftbiomarkerkidney transplantationmass spectrometryproteomicsrejection

Identifiers

PMID36982359
PMCPMC10049725

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read15
identifiers read4
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 Socratic graph.