Evidence map›Paper›PMID 36047345›Full record

ArticleEuropean journal of histochemistry : EJH2022

Immunofluorescence signal intensity measurements as a semi-quantitative tool to assess sarcoglycan complex expression in muscle biopsy.

Simona Zanotti, Francesca Magri, Francesca Poggetti, Michela Ripolone, Daniele Velardo, Francesco Fortunato, Patrizia Ciscato, Maurizio Moggio, Stefania Corti, Giacomo Pietro Comi and 1 more

Open access · goldAbstract read
In one paragraph

Article in European journal of histochemistry : EJH, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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  5. EnterohemorrhagicMicrobiology spectrum · 2024
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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

11 authors at 1 institution in 1 country.

Simona ZanottiNeuromuscular and Rare Disease Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. simona.zanotti@policlinico.mi.it.
Francesca MagriNeurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. francesca.magri@policlinico.mi.it.
Francesca PoggettiNeuromuscular and Rare Disease Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. francesca.p1996@gmail.com.
Michela RipoloneNeuromuscular and Rare Disease Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. michela.ripolone@policlinico.mi.it.
Daniele VelardoNeuromuscular and Rare Disease Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. daniele.velardo@policlinico.mi.it.
Francesco FortunatoNeurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. francesco.fortunato@unimi.it.
Patrizia CiscatoNeuromuscular and Rare Disease Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. patrizia.ciscato@policlinico.mi.it.
Maurizio MoggioNeuromuscular and Rare Disease Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. maurizio.moggio@policlinico.mi.it.
Stefania CortiNeurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. stefania.corti@unimi.it.
Giacomo Pietro ComiNeuromuscular and Rare Disease Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. giacomo.comi@unimi.it.
Monica SciaccoNeuromuscular and Rare Disease Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan. monica.sciacco@policlinico.mi.it.
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcoglycanopathies are highly heterogeneous in terms of disease progression, muscular weakness, loss of ambulation and cardiac/respiratory involvement. Their clinical severity usually correlates with the residual protein amount, which makes protein quantification extremely relevant. Sarcoglycanopathy diagnosis is genetic, but skeletal muscle analysis - by both immunohistochemistry and Western blot (WB) - is still mandatory to establish the correct diagnostic process. Unfortunately, however, WB analysis cannot be performed if the bioptic specimen is scarce. This study provides a sensitive tool for semi-quantification of residual amount of sarcoglycans in patients affected by sarcoglycanopathies, based on immunofluorescence staining on skeletal muscle sections, image acquisition and software elaboration. We applied this method to eleven sarcoglycanopathies, seven Becker muscular dystrophies and four age-matched controls. Fluorescence data analysed in patients and compared to age-matched controls showed a significant reduction of the mutated sarcoglycan expression and a variable reduction of the other sarcoglycans. Fluorescence normalized data analysed in relation to the age of onset of the disease, showed a negative correlation of α-sarcoglycan fluorescent signal versus fibrosis in patients with an early age of onset and a negative correlation between δ-sarcoglycan signal and fibrosis in both intermediate and late age of onset groups. The availability of a method that allows objective quantification of the sarcolemmal proteins, faster and less consuming than WB analysis and able to detect low residual sarcoglycan expression with great sensitivity, proves useful to better define both patient prognosis and expected disease evolution. The proposed method could be employed also to monitor the efficacy of therapeutic interventions and during clinical trials.

Indexed as

SarcoglycanopathiesSarcoglycansBiopsyFibrosisFluorescent Antibody TechniqueHumansMuscle, SkeletalSarcoglycans

Identifiers

PMID36047345
PMCPMC9471914
OpenAlexW4294126894

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.