Evidence map›Paper›PMID 39086950›Full record

ArticleFrontiers in medicine2024

Casual effects of telomere length on sarcoidosis: a bidirectional Mendelian randomization analysis.

Shiben Zhu, Ziyu Hao, Qihang Chen, Xiaoliu Liu, Wenyan Wu, Yanping Luo, Fang Zhang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. 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
–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

2 citing papers in PubMed.

  1. New Therapies for Sarcoidosis: Molecular and Pathophysiological Basis.International journal of molecular sciences · 2026
    Review
  2. 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

7 authors.

Shiben Zhu *School of Nursing and Health Studies, Hong Kong Metropolitan University, Kowloon, Hong Kong SAR, China.
Ziyu Hao *Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Qihang ChenSchool of Nursing and Health Studies, Hong Kong Metropolitan University, Kowloon, Hong Kong SAR, China.
Xiaoliu LiuMedical Laboratory of Shenzhen Luohu People's Hospital, Shenzhen, Guangdong, China.
Wenyan WuMedical Laboratory of Shenzhen Luohu People's Hospital, Shenzhen, Guangdong, China.
Yanping LuoMedical Laboratory of Shenzhen Luohu People's Hospital, Shenzhen, Guangdong, China.
Fang ZhangDepartment of Science and Education, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telomere length, crucial for genomic stability, have been implicated in various inflamm-aging diseases, but their role in sarcoidosis remains unexplored. Objective: This study aims to explore the casual effects between TL and sarcoidosis via a bidirectional Mendelian Randomization (MR) study. Methods: We examined single nucleotide polymorphisms (SNPs) associated with TL and sarcoidosis, utilizing available open-access genome-wide association study (GWAS) databases from the UK Biobank and FinnGen. We employed five MR techniques, including Inverse Variance Weighted (IVW), MR Egger, weighted median (WM), Robust adjusted profile score (RAPS), and Maximum likelihood, to assess causal relationships and explore pleiotropy. Results: Summary data extracted from GWAS datasets of TL ( Conclusion: Our results suggest that longer telomeres may reduce the risk of sarcoidosis, highlighting TL as a potential biomarker for diagnosis and long-term monitoring. Understanding the critical role of telomere shortening enables more effective focus on diagnosing, treating, and curing sarcoidosis linked to telomeres. Clinical investigations into treatments that enhance TL are warranted.

Indexed as

casual associationMendelian randomizationsarcoidosistelomere lengthtwo-sample analysis

Identifiers

PMID39086950
PMCPMC11288844

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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.