Evidence map›Paper›PMID 41440263›Full record

ArticleBiosensors2025

Transcriptomic Evaluation of Hollow Microneedles-Mediated Drug Delivery for Rheumatoid Arthritis Therapy.

Zhibo Liu, Xiaotong Li, Suhang Liu, Yijing Cai, Xingyuan Xu, Siqi Gao, Chuanjie Yao, Linge Wang, Xi Xie, Yanbin Cai and 6 more

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Zhibo LiuState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Xiaotong LiState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Suhang LiuState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Yijing CaiState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Xingyuan XuState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Siqi GaoDepartment of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Chuanjie YaoState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Linge WangGuangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices, South China Advanced Institute for Soft Matter Science and Technology School of Emergent Soft Matter, State Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou 510640, China.ORCID 0000-0002-5534-5466
Xi XieState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Yanbin CaiZhujiang Hospital of Southern Medical University, Southern Medical University, Guangzhou 510280, China.
Lelun JiangGuangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China.
Jing LiuInstitute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Mingqiang LiLaboratory of Biomaterials and Translational Medicine, Center for Nanomedicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, China.ORCID 0000-0002-5178-4138
Yan LiDepartment of Cardiology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Xinshuo HuangState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.
Huijiuan ChenState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510006, China.ORCID 0000-0002-8601-5937

Funding

Fundamental Research Funds for the Central Universities, Sun Yat-sen University 24xkjc011Guangdong Basic and Applied Basic Research Foundation 2023A1515111139, 2025A1515010608, 2020A1515111139National Key R&D Program of China 2024YFB3211600National Natural Science Foundation of China 32171456, 82100430Open Fund of the State Key Laboratory of Luminescent Materials and Devices (South China University of Technology) 2024-skllmd-11Science and Technology Program of Guangzhou, China 2024B03J0121, 2024B03J1284Science and Technology Projects in Guangzhou 2023A03J1008Shenzhen Science and Technology Program JCYJ20220818102201003
6 · The paper itself

Abstract

Microneedle array-based drug delivery offers a minimally invasive and safe approach for breaching the skin barrier, enabling localized and targeted treatment-an advantage particularly valuable in chronic condition management, such as rheumatoid arthritis (RA). RA presents a multifaceted pathophysiology, often necessitating long-term pharmacological management. However, conventional oral administration may lead to systemic drug distribution, increasing the likelihood of adverse effects, and ultimately undermining therapeutic efficacy. In this study, a hollow microneedle array was employed for effective delivery of Tofacitinib and the antioxidant N-acetylcysteine (NAC). A comprehensive evaluation was conducted across multiple levels, in which inflammation and cartilage degradation were assessed histologically using hematoxylin-eosin (H&E) and Safranin O-Fast Green staining. Radiologically, micro-computed tomography (micro-CT) was employed to visualize bone structure alterations. On the molecular level, enzyme-linked immunosorbent assay (ELISA) was used to quantify inflammatory cytokines and oxidative stress markers. Furthermore, differentially expressed genes and enriched signaling pathways were identified through transcriptomic profiling pre- and post-treatment. And the potential regulatory targets and mechanistic insights into the therapeutic response were elucidated through correlation analyses between gene expression profiles and pathological indicators. This study provides a mechanistic and computational basis for precision targeted therapy, validates the efficacy and safety of microneedle delivery in a rheumatoid arthritis (RA) model, and demonstrates its potential application in local drug delivery strategies.

Indexed as

Arthritis, RheumatoidDrug Delivery SystemsTranscriptomeAcetylcysteineAnimalsGene Expression ProfilingHumansNeedlesPiperidinesPyrimidinesPyrrolesAcetylcysteinePiperidinesPyrimidinesPyrrolestofacitinibdrug deliveryhollow microneedlerheumatoid arthritistargeted therapytranscriptomic

Identifiers

PMID41440263
PMCPMC12730802

What OpenQuestion holds

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Registered trials

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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.