Evidence map›Paper›PMID 38155963›Full record

ReviewFrontiers in immunology2023

Progress and challenges of plant-derived nucleic acids as therapeutics in macrophage-mediated RNA therapy.

Yu-Da Liu, Hao-Ran Chen, Yao Zhang, Ge Yan, Hao-Jie Yan, Qi Zhu, Li-Hua Peng

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 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
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Translational cancer research · 2026
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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

7 authors at 2 institutions in 2 countries.

Yu-Da LiuCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Hao-Ran ChenCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Yao ZhangCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Ge YanCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Hao-Jie YanCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Qi ZhuCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Li-Hua PengCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Zhejiang University · CNMacau University of Science and Technology · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant-derived nucleic acids, especially small RNAs have been proved by increasing evidence in the pharmacological activities and disease treatment values in macrophage meditated anti-tumor performance, immune regulating functions and antiviral activities. But the uptake, application and delivery strategies of RNAs as biodrugs are different from the small molecules and recombinant protein drugs. This article summarizes the reported evidence for cross-kingdom regulation by plant derived functional mRNAs and miRNAs. Based on that, their involvement and potentials in macrophage-mediated anti-tumor/inflammatory therapies are mainly discussed, as well as the load prospect of plant RNAs in viruses and natural exosome vehicles, and their delivery to mammalian cells through macrophage were also summarized. This review is to provide evidence and views for the plant derived RNAs as next generation of drugs with application potential in nucleic acid-based bio-therapy.

Indexed as

ExosomesMicroRNAsNeoplasmsNucleic AcidsPlantsAnimalsMicroRNAsNucleic Acidscross-kingdom regulationdelivery strategiesmacrophagepharmacological activitiesplant derived nucleic acids

Identifiers

PMID38155963
PMCPMC10753178
OpenAlexW4389480030

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.