Genome Editing to Abrogate Muscle Atrophy.

Tingting Yang, Priyanka Gokulnath, Xinxiu Meng, Guoping Li, Junjie Xiao

Abstract readReview

In one paragraph

Review in Advances in experimental medicine and biology, 2023. 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

5 authors.

Tingting YangInstitute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, China.

Priyanka GokulnathCardiovascular Division of the Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Xinxiu MengInstitute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, China.

Guoping LiCardiovascular Division of the Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Junjie XiaoInstitute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Shanghai, China. junjiexiao@shu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle atrophy is a multifactor syndrome, which not only decreases the patients' quality of life significantly but also increases the morbidity and mortality of patients with chronic diseases. At present, no effective clinical treatments for muscle atrophy except for exercise are available. The emerging field of genome editing is gaining momentum as it has shown great advantage in the treatment of various diseases, including muscle atrophy. In our current review, we systematically evaluate the etiology and related signaling pathways of muscle atrophy and discuss the application of genome editing in the treatment of muscle atrophy.

Indexed as

Gene EditingQuality of LifeExerciseHumansMotionMuscular AtrophyGenome editingMuscle atrophyTreatment

Identifiers

PMID36454466

DOI10.1007/978-981-19-5642-3_11

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.