Evidence map›Paper›PMID 40005378›Full record

ReviewMedicina (Kaunas, Lithuania)2025

Non-Invasive Biomarkers for Early Diagnosis of Kidney Allograft Dysfunction: Current and Future Applications in the Era of Precision Medicine.

Christina Lazarou, Eleni Moysidou, Michalis Christodoulou, Georgios Lioulios, Erasmia Sampani, Chrysostomos Dimitriadis, Asimina Fylaktou, Maria Stangou

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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.

Christina LazarouDepartment of Nephrology, Papageorgiou General Hospital, 56429 Thessaloniki, Greece.ORCID 0009-0004-4583-361X
Eleni MoysidouSchool of Medicine, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.ORCID 0000-0002-6874-7173
Michalis ChristodoulouSchool of Medicine, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.ORCID 0000-0001-9565-6931
Georgios LiouliosDepartment of Nephrology, 424 Military Hospital of Thessaloniki, 56429 Thessaloniki, Greece.
Erasmia SampaniSchool of Medicine, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.
Chrysostomos DimitriadisSchool of Medicine, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.
Asimina FylaktouDepartment of Immunology, National Peripheral Histocompatibility Center, General Hospital Hippokration, 54642 Thessaloniki, Greece.
Maria StangouSchool of Medicine, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.ORCID 0000-0003-2496-9863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney transplantation stands as the preferred treatment for end-stage kidney disease, significantly improving both the quality and longevity of life compared to dialysis. In recent years, the survival rates for patients and grafts have markedly increased thanks to innovative strategies in desensitization protocols for incompatible transplants and advancements in immunosuppressive therapies. For kidney transplant recipients, preventing allograft rejection is of paramount importance, necessitating the use of immunosuppressive medications. Regular follow-up appointments are essential, as monitoring the function of the kidney allograft is critical. Currently, established biomarkers such as serum creatinine, estimated Glomerular Filtration Rate (eGFR), proteinuria, and albuminuria are commonly employed to assess allograft function. However, these biomarkers have limitations, as elevated levels often indicate significant allograft damage only after it has occurred, thereby constraining treatment options and the potential for restoring graft function. Additionally, kidney biopsies, while considered the gold standard for diagnosing rejection, are invasive and carry associated risks. Consequently, the identification and development of new, sensitive, and specific biomarkers like dd-cfDNA, microRNAs (e.g., miR-21, miR-155), and sCD30 for allograft rejection are crucial. To tackle this challenge, intensive ongoing research employing cutting-edge technologies, including "omics" approaches, like genomic techniques, proteomics, or metabolomics, is uncovering a variety of promising new biomarkers.

Indexed as

AllograftsBiomarkersEarly DiagnosisGraft RejectionKidney TransplantationPrecision MedicineHumansMicroRNAsBiomarkersMicroRNAsantibody-mediateddonor-specific antibodies (DSAs)kidney transplantation

Identifiers

PMID40005378
PMCPMC11857372

What Socratic 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 Socratic graph.