Evidence map›Paper›PMID 35129049›Full record

ArticleBioengineered2022

Comprehensive analysis of peripheral blood non-coding RNAs identifies a diagnostic panel for fungal infection after transplantation.

Anli Yang, Huadi Chen, Jianwei Lin, Ming Han, Xiaopeng Yuan, Tao Zhang, Qingwei Nian, Mengran Peng, Dian Li, Chenglin Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Establishment and application of multiple cross displacement amplification coupled with lateral flow biosensor (MCDA-LFB) for visual and rapid detection of Candida glabrata.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  2. 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

11 authors at 3 institutions in 2 countries.

Anli YangOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Huadi ChenOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-1192-1131
Jianwei LinDepartment of Hepatobiliary and Pancrease Surgery, Shenzhen People's Hospital, Shenzhen, China.
Ming HanOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaopeng YuanOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Tao ZhangOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Qingwei NianOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Mengran PengDermatology Department, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Dian LiDepartment of Data Science, Dana Farber Cancer Institute, Harvard School of Public Health, Boston, Massachusetts, USA.
Chenglin WuOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaoshun HeOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNDana-Farber Cancer Institute · USShenZhen People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The occurrence of fungal infection seriously affects the survival and life quality of transplanted patients. The accurate diagnosis is of particular importance in the early stage of infection. To develop a novel diagnostic method for this kind of patient, we established a post-transplant immunosuppressed mice model with fungus inoculation and collected their peripheral blood at specific time points after infection. After screening by microarray, differentially expressed miRNAs and lncRNAs were selected and homologously analyzed with those of human beings from the gene database. These miRNAs and lncRNAs candidates were validated by qRT-PCR in peripheral blood samples from transplanted patients. We found that, compared with normal transplanted patients, the levels of miR-215 and miR-let-7 c were up-regulated in the plasma of patients with fungal infection (

Indexed as

MycosesRNA, UntranslatedAnimalsDisease Models, AnimalHumansImmunocompromised HostMaleMiceMice, Inbred C57BLPrincipal Component AnalysisTransplantationRNA, UntranslateddiagnosisFungal infectionnon-coding RNAstransplantation

Identifiers

PMID35129049
PMCPMC8974173
OpenAlexW4210512549

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.