Evidence mapPaperPMID 41837883Full record

ReviewAnnals of medicine2026

Growth factor applications and clinical translation: advances and challenges.

Yuhan Tu, Bin Li, Sainan Zheng, Gaoer Qu, Mingqi Li, Shijun Li, Chuanfeng Shao

Abstract readReview
In one paragraph

Review in Annals of medicine, 2026. 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. Review
  2. Article
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.

Yuhan TuDepartment of Pharmacy, Yueqing Third People's Hospital, Wenzhou, P.R. China.
Bin LiInstitute of Life Sciences, Wenzhou University, Wenzhou, P.R. China.
Sainan ZhengDepartment of Pharmacy, Yueqing Third People's Hospital, Wenzhou, P.R. China.
Gaoer QuInstitute of Life Sciences, Wenzhou University, Wenzhou, P.R. China.
Mingqi LiDepartment of Pharmacy, Yueqing Third People's Hospital, Wenzhou, P.R. China.
Shijun LiInstitute of Life Sciences, Wenzhou University, Wenzhou, P.R. China.
Chuanfeng ShaoDepartment of Pharmacy, Yueqing Third People's Hospital, Wenzhou, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrowth factors (GFs), as key molecules regulating cellular processes, demonstrate therapeutic potential in fields such as regenerative medicine, oncology, and metabolic regulation. However, inherent pharmacokinetic limitations, off-target effects, and safety concerns significantly hinder clinical translation. Although in-depth studies on mechanisms of action, smart delivery systems, and regulatory networks have improved GFs' stability, targeting, and safety - leading to clinical approvals of some related drugs - high costs, complex large-scale production processes, and the intricacy of the DISCUSSION: This review systematically examines the classification and fundamental research progress of GFs, emphasizing their current applications in neurodegenerative diseases, bone regeneration, and metabolic disorders. It thoroughly analyzes major challenges in clinical translation, including suboptimal pharmacokinetic properties, difficulties in precise delivery, potential side effects, and high industrial production costs. To address these bottlenecks, the paper summarizes corresponding solutions, such as structural optimization through protein engineering and chemical modification, development of smart responsive delivery systems (e.g. extracellular vesicle-based platforms), and utilization of multi-factor sequential release technologies to mimic physiological repair processes.

conclusionBy synthesizing current advances and existing constraints, this study aims to provide a comprehensive roadmap and technical reference for accelerating the development of next-generation GF therapies. Future research should focus on developing scalable delivery platforms, reducing production costs through synthetic biology, and strengthening biomarker-based translational studies. Multidisciplinary integration holds promise for advancing GFs therapies towards greater precision, safety, and efficacy, positioning them as core therapeutic tools in the era of precision medicine for addressing degenerative diseases, tissue damage, and metabolic disorders.

Indexed as

Intercellular Signaling Peptides and ProteinsTranslational Research, BiomedicalAnimalsBone RegenerationDrug Delivery SystemsHumansMetabolic DiseasesNeurodegenerative DiseasesRegenerative MedicineIntercellular Signaling Peptides and Proteinsbasic researchclinical translationGrowth factors

Identifiers

PMID41837883
PMCPMC12997372

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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.