Evidence map›Paper›PMID 38152593›Full record

ArticleCurrent transplantation reports2023

Multi-omics Approach in Kidney Transplant: Lessons Learned from COVID-19 Pandemic.

Hiroki Mizuno, Naoka Murakami

Abstract read
In one paragraph

Article in Current transplantation reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Hiroki MizunoTransplant Research Center, Division of Renal Medicine, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave. EBRC 305, Boston, MA 02115, USA.
Naoka MurakamiTransplant Research Center, Division of Renal Medicine, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Ave. EBRC 305, Boston, MA 02115, USA.ORCID 0000-0001-8168-5811

Funding

Protection of kidney from autoimmunity by modulating co-stimlatory signalingK08DK120868 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI MURAKAMI, NAOKA · 2019 to 2023
$886k
Role of antigen-specific T cells in immunotherapy-associated acute interstitial nephritis and kidney allograft rejectionR03DK131223 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI MURAKAMI, NAOKA · 2022 to 2023
$269k
NIDDK NIH HHS K08 DK120868NIDDK NIH HHS R03 DK131223
6 · The paper itself

Abstract

Purpose of Review: Multi-omics approach has advanced our knowledge on transplantation-associated clinical outcomes, such as acute rejection and infection, and emerging omics data are becoming available in kidney transplant and COVID-19. Herein, we discuss updated findings of multi-omics data on kidney transplant outcomes, as well as COVID-19 and kidney transplant. Recent Findings: Transcriptomics, proteomics, and metabolomics revealed various inflammation pathways associated with kidney transplantation-related outcomes and COVID-19. Although multi-omics data on kidney transplant and COVID-19 is limited, activation of innate immune pathways and suppression of adaptive immune pathways were observed in the active phase of COVID-19 in kidney transplant recipients. Summary: Multi-omics analysis has led us to a deeper exploration and a more comprehensive understanding of key biological pathways in complex clinical settings, such as kidney transplantation and COVID-19. Future multi-omics analysis leveraging multi-center biobank collaborative will further advance our knowledge on the precise immunological responses to allograft and emerging pathogens.

Indexed as

COVID-19Gene expressionImmunologyKidney transplantMulti-omicsVaccination

Identifiers

PMID38152593
PMCPMC10751044

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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.