Evidence map›Paper›PMID 33241033›Full record

ArticleAnnals of translational medicine2020

Concentrated nanofat: a modified fat extraction promotes hair growth in mice via the stem cells and extracellular matrix components interaction.

Zehua Li, Jinrong Zhang, Meng Li, Lingzhi Tang, Hongwei Liu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

7 citing papers in PubMed, 23 citations in OpenAlex.

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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 at 1 institution in 1 country.

Zehua LiDepartment of Plastic Surgery, the First Affiliated Hospital of Jinan University, Guangzhou, China.
Jinrong ZhangDepartment of Plastic Surgery, the First Affiliated Hospital of Jinan University, Guangzhou, China.
Meng LiDepartment of Plastic Surgery, the First Affiliated Hospital of Jinan University, Guangzhou, China.
Lingzhi TangDepartment of Plastic Surgery, the First Affiliated Hospital of Jinan University, Guangzhou, China.
Hongwei LiuDepartment of Plastic Surgery, the First Affiliated Hospital of Jinan University, Guangzhou, China.
First Affiliated Hospital of Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFat graft transplantation seems a promising cell therapy for hair loss. However, impurities in lipoaspirate weaken the treatment effect. Here, we developed the lipoaspirate extraction method then investigate the effect and mechanism on hair growth-promoting in a mouse model.

methodsFat graft was prepared into concentrated nanofat (CNF), decellularized CNF (DCNF), and adipose-derived stem cells (ADSCs). They were injected subcutaneously in the back of depilated mice to test the hair promoting effect. Conditioned media (CM) from the adipose extracts were applied to dermal papilla cells (DPCs) to evaluate the cell viability and the anagen related signal.

resultsCNF and a high dose of ADSCs promoted hair growth and induced telogen-to-anagen transition in depilated mice. DCNF and a low dose of ADSCs did not show such effect; however, hair growth was promoted when they were used in combination.

conclusionsCNF has a better effect than ADSCs in hair promotion via activating the DPCs and anagen induction. In this nature complex of stem cells (SCs) and extracellular matrix (ECM), ECM serves a significant supplementary role and amplifies the power of ADSCs. These results supply a theoretical basis on the clinical application of CNF to treat hair loss.

Indexed as

adipose-derived stem cells (ADSCs)cell therapyextracellular matrix (ECM)Hair loss

Identifiers

PMID33241033
PMCPMC7576054
OpenAlexW3087524462

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.