Evidence map›Paper›PMID 28933418›Full record

ReviewDiseases (Basel, Switzerland)2016

Biomarkers in Lysosomal Storage Diseases.

Joaquin Bobillo Lobato, Maria Jiménez Hidalgo, Luis M Jiménez Jiménez

Abstract readReview
In one paragraph

Review in Diseases (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

3 authors.

Joaquin Bobillo LobatoServicio de Bioquímica Clínica, Unidad de Gestión Clínica de Laboratorios, Hospital Universitario Nuestra Señora de Valme, 41014-Sevilla, Spain. joaquin.bobillo.lobato.sspa@juntadeandalucia.es.
Maria Jiménez HidalgoServicio de Fisiopatología Celular y Bioenergética, Servicios Centrales de Investigación, Universidad Pablo de Olavide, 41013-Sevilla, Spain. mariajihid@hotmail.com.
Luis M Jiménez JiménezServicio de Fisiopatología Celular y Bioenergética, Servicios Centrales de Investigación, Universidad Pablo de Olavide, 41013-Sevilla, Spain. lmjimenezj@telefonica.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A biomarker is generally an analyte that indicates the presence and/or extent of a biological process, which is in itself usually directly linked to the clinical manifestations and outcome of a particular disease. The biomarkers in the field of lysosomal storage diseases (LSDs) have particular relevance where spectacular therapeutic initiatives have been achieved, most notably with the introduction of enzyme replacement therapy (ERT). There are two main types of biomarkers. The first group is comprised of those molecules whose accumulation is directly enhanced as a result of defective lysosomal function. These molecules represent the storage of the principal macro-molecular substrate(s) of a specific enzyme or protein, whose function is deficient in the given disease. In the second group of biomarkers, the relationship between the lysosomal defect and the biomarker is indirect. In this group, the biomarker reflects the effects of the primary lysosomal defect on cell, tissue, or organ functions. There is no "gold standard" among biomarkers used to diagnosis and/or monitor LSDs, but there are a number that exist that can be used to reasonably assess and monitor the state of certain organs or functions. A number of biomarkers have been proposed for the analysis of the most important LSDs. In this review, we will summarize the most promising biomarkers in major LSDs and discuss why these are the most promising candidates for screening systems.

Indexed as

biomarkersenzyme replacement therapy (ERT)lysosomal storage disorders (LSDs)

Identifiers

PMID28933418
PMCPMC5456325

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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.