Evidence map›Paper›PMID 42765311›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

In Vivo Direct Reprogramming: Current Progress and Future Prospects from Mechanisms to Therapeutic Application.

Rishabh Deo Singh, Mauro Calvoli, Kyeong Kyu Kim

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

3 authors.

Rishabh Deo SinghDepartment of Precision Medicine, Sungkyunkwan University (SKKU) School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0003-3997-5043
Mauro CalvoliDepartment of Precision Medicine, Sungkyunkwan University (SKKU) School of Medicine, Suwon, Republic of Korea.
Kyeong Kyu KimDepartment of Precision Medicine, Sungkyunkwan University (SKKU) School of Medicine, Suwon, Republic of Korea.ORCID https://orcid.org/0000-0003-2515-8894

Funding

National Research Foundation RS-2023-NR077275National Research Foundation RS-2024-00440289
6 · The paper itself

Abstract

Direct reprogramming, which converts somatic cells from one lineage to another without passing through a pluripotent state, represents a promising therapeutic strategy for regenerative medicine. Recent advancements in identifying reprogramming factors and understanding molecular barriers have enabled efficient generation of therapeutically relevant cells. Yet, the clinical application of in vitro-derived reprogrammed cells is hampered by the immature phenotype, hostile microenvironments, low engraftment, and poor survival after transplantation. In vivo direct reprogramming of tissue-resident cells within their native tissue microenvironment offers a compelling alternative to overcome these barriers. Harnessing biochemical and biophysical cues of the tissue microenvironment, this approach facilitates the acquisition of molecular and functional features resembling endogenous cells. This review summarizes the current understanding of in vivo direct reprogramming, covering mechanisms, key reprogramming factors, and delivery strategies, and explores therapeutic applications across organ systems. Finally, key challenges such as delivery efficiency, incomplete understanding of tissue cues, and limited mechanistic insights, along with emerging strategies, are discussed.

Indexed as

functional recoverygene regulatory networkin vivo reprogrammingmultimodal reprogrammingtissue microenvironment

Identifiers

PMID42765311
PMCPMC13591340

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.