Evidence map›Paper›PMID 39057090›Full record

ReviewCurrent issues in molecular biology2024

Review on Long Non-Coding RNAs as Biomarkers and Potentially Therapeutic Targets for Bacterial Infections.

Liqin Shi, Xueya Han, Fang Liu, Jinzhao Long, Yuefei Jin, Shuaiyin Chen, Guangcai Duan, Haiyan Yang

Abstract readReview
In one paragraph

Review in Current issues in molecular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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.

Liqin ShiDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Xueya HanDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Fang LiuDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Jinzhao LongDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Yuefei JinDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-1523-0808
Shuaiyin ChenDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0001-6129-0310
Guangcai DuanDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Haiyan YangDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-1797-304X

Funding

National Natural Science Foundation of China No. 82273696
6 · The paper itself

Abstract

The confrontation between humans and bacteria is ongoing, with strategies for combating bacterial infections continually evolving. With the advancement of RNA sequencing technology, non-coding RNAs (ncRNAs) associated with bacterial infections have garnered significant attention. Recently, long ncRNAs (lncRNAs) have been identified as regulators of sterile inflammatory responses and cellular defense against live bacterial pathogens. They are involved in regulating host antimicrobial immunity in both the nucleus and cytoplasm. Increasing evidence indicates that lncRNAs are critical for the intricate interactions between host and pathogen during bacterial infections. This paper emphatically elaborates on the potential applications of lncRNAs in clinical hallmarks, cellular damage, immunity, virulence, and drug resistance in bacterial infections in greater detail. Additionally, we discuss the challenges and limitations of studying lncRNAs in the context of bacterial infections and highlight clear directions for this promising field.

Indexed as

bacterial infectionsbiomarkerslong non-coding RNAsregulation pathwaystherapeutic targets

Identifiers

PMID39057090
PMCPMC11276060

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.