Evidence map›Paper›PMID 42238603›Full record

ArticleFrontiers in immunology2026

Correlation of TTLL7-IT1/Hsa-miR-29c-3p/GLS with limited cutaneous systemic sclerosis and exploration of the underlying mechanisms.

Xin Dai, Shanyu Chen, Danni Zhu, Guoxing Ma, Bo Liang, Bing Chen, Yan Liu, Xue Liu, Jiejie Qiao, Jihong Hu and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Xin Dai *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Center for Big Data and Population Health of Institute Health and Medicine, Institute Health and Medicine, HeFei Comprehensive National Science Center (IHM), The First Affiliated Hospital of Anhui Medical University, Rheumatology and Immunology Department, Clinical College of Anhui Medical University, Key Laboratory of Public Health Social Governance, Philosophy and Social Sciences of Anhui Province, Hefei, Anhui, China.
Shanyu Chen *The First Affiliated Hospital of Anhui Medical University, Rheumatology and Immunology Department, Hefei, Anhui, China.
Danni Zhu *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Center for Big Data and Population Health of Institute Health and Medicine, Institute Health and Medicine, HeFei Comprehensive National Science Center (IHM), The First Affiliated Hospital of Anhui Medical University, Rheumatology and Immunology Department, Clinical College of Anhui Medical University, Key Laboratory of Public Health Social Governance, Philosophy and Social Sciences of Anhui Province, Hefei, Anhui, China.
Guoxing Ma *Department of Chronic Non-Communicable Diseases Prevention and Control Fei Xi County Centre for Disease Control and Prevention, Hefei, Anhui, China.
Bo LiangThe First Affiliated Hospital of Anhui Medical University, Institute of Dermatology and Department of Dermatology, Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, Anhui, China.
Bing ChenDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.
Yan LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Center for Big Data and Population Health of Institute Health and Medicine, Institute Health and Medicine, HeFei Comprehensive National Science Center (IHM), The First Affiliated Hospital of Anhui Medical University, Rheumatology and Immunology Department, Clinical College of Anhui Medical University, Key Laboratory of Public Health Social Governance, Philosophy and Social Sciences of Anhui Province, Hefei, Anhui, China.
Xue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Center for Big Data and Population Health of Institute Health and Medicine, Institute Health and Medicine, HeFei Comprehensive National Science Center (IHM), The First Affiliated Hospital of Anhui Medical University, Rheumatology and Immunology Department, Clinical College of Anhui Medical University, Key Laboratory of Public Health Social Governance, Philosophy and Social Sciences of Anhui Province, Hefei, Anhui, China.
Jiejie QiaoDepartment of Public Health and Health Management, Clinical College of Anhui Medical University, Hefei, Anhui, China.
Jihong HuDepartment of Public Health and Health Management, Clinical College of Anhui Medical University, Hefei, Anhui, China.
Yijing ZhaoSchool of Public Health, Anhui Medical University, Hefei, Anhui, China.
Jiaye FeiSchool of Public Health, Anhui Medical University, Hefei, Anhui, China.
Xiyuan BaoClinical Medicine in the 5 + 3 Integrated Program, Anhui Medical University, Hefei, Anhui, China.
Kangrui XiaClinical Medicine in the 5 + 3 Integrated Program, Anhui Medical University, Hefei, Anhui, China.
Haifeng Pan *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China.
Shengquan ZhangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.
Jing WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Center for Big Data and Population Health of Institute Health and Medicine, Institute Health and Medicine, HeFei Comprehensive National Science Center (IHM), The First Affiliated Hospital of Anhui Medical University, Rheumatology and Immunology Department, Clinical College of Anhui Medical University, Key Laboratory of Public Health Social Governance, Philosophy and Social Sciences of Anhui Province, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic sclerosis (SSc) is an autoimmune disease. In the types of SSc, lcSSc presents with milder symptoms and poses challenges for early diagnosis. Therefore, the identification of biomarkers for earlier diagnosis and the discovery of potential therapeutic targets are of greater significance. This study aims to explore the relationship between competing endogenous RNA (ceRNA) networks, cuproptosis, and lcSSc. Methods: RNA sequencing was performed to profile differentially expressed RNAs in blood samples from lcSSc patients and healthy controls. The potential ceRNA network targeting relationships were then examined using a dual-luciferase reporter assay. Subsequently, a series of Results: TTLL7-IT1/hsa-miR-29c-3p/GLS was constructed using bioinformatic analysis of lcSSc. CD8 Conclusions: In summary, our findings reveal a functional interaction between cuproptosis and ceRNA networks: TTLL7-IT1/hsa-miR-29c-3p/GLS influences cuproptosis and lcSSc progression, providing new insights into the pathogenesis of lcSSc.

Indexed as

GlutaminaseMicroRNAsScleroderma, LimitedAnimalsBiomarkersCD8-Positive T-LymphocytesCuproptosisDisease Models, AnimalFemaleHumansMaleMiceMiddle AgedRNA, Competitive EndogenousScleroderma, SystemicSkinBiomarkersGlutaminaseMicroRNAsMIRN29C microRNA, humanRNA, Competitive EndogenousCD8+ T cellceRNA networkcuproptosisGlutaminaselimited cutaneous systemic sclerosis

Identifiers

PMID42238603
PMCPMC13227145

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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.