Evidence map›Paper›PMID 27826747›Full record

ArticleMolecular neurobiology2017

Serum Compounds of Energy Metabolism Impairment Are Related to Disability, Disease Course and Neuroimaging in Multiple Sclerosis.

Giacomo Lazzarino, Angela M Amorini, Axel Petzold, Claudio Gasperini, Serena Ruggieri, Maria Esmeralda Quartuccio, Giuseppe Lazzarino, Enrico Di Stasio, Barbara Tavazzi

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

38 citing papers in PubMed, 50 citations in OpenAlex.

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  19. ILBJournal of personalized medicine · 2021
    Article
  20. Review
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

9 authors at 3 institutions in 3 countries.

Giacomo LazzarinoInstitute of Biochemistry and Clinical Biochemistry, Catholic University of Rome, Rome, Italy.
Angela M AmoriniInstitute of Biochemistry and Clinical Biochemistry, Catholic University of Rome, Rome, Italy.
Axel PetzoldDepartment of Neurology, VU Medical Centre, Amsterdam, The Netherlands.
Claudio GasperiniDepartment of Neurosciences, S Camillo-Forlanini Hospital, Rome, Italy.
Serena RuggieriDepartment of Neurosciences, S Camillo-Forlanini Hospital, Rome, Italy.
Maria Esmeralda QuartuccioDepartment of Neurosciences, S Camillo-Forlanini Hospital, Rome, Italy.
Giuseppe LazzarinoDepartment of Biomedical and Biotechnological Sciences, Division of Medical Biochemistry, University of Catania, Bldg. 2, III Floor, Viale A. Doria 6, 95125, Catania, Italy. lazzarig@unict.it.ORCID http://orcid.org/0000-0002-5917-7279
Enrico Di StasioInstitute of Biochemistry and Clinical Biochemistry, Catholic University of Rome, Rome, Italy.
Barbara TavazziInstitute of Biochemistry and Clinical Biochemistry, Catholic University of Rome, Rome, Italy.
Università Cattolica del Sacro Cuore · ITCarlo Forlanini Hospital · ITMoorfields Eye Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is characterized by primary inflammation, demyelination, and progressive neurodegeneration. A biochemical MS feature is neuronal mitochondrial dysfunction, compensated by anaerobic metabolism increase, likely aggravating progression of neurodegeneration. Here, we characterized a pragmatic serum profile of compounds related to mitochondrial energy metabolism of potential clinical use. Blood samples of 518 well characterized (disability, disease course) MS patients and 167 healthy controls were analyzed for serum purines, pyrimidines, creatinine, and lactate. Nine of the 15 compounds assayed, hypoxanthine, xanthine, uric acid, inosine, uracil, β-pseudouridine, uridine, creatinine, and lactate, differed significantly between MS patients and controls (p < 0.0001). Using these nine compounds, a unifying Biomarker Score was calculated. Controls and MS patients had mean Biomarker Scores of 0.4 ± 0.7 and 4.4 ± 1.9, respectively (p < 0.00001). The Biomarker Score was higher in patients with progressive (6.0 ± 1.8 than with relapsing remitting disease course (3.6 ± 1.5, p < 0.00001). High association between the Biomarker Score and increase in disability (EDSS) was also observed. Additionally, in 50 patients who underwent magnetic resonance imaging (MRI), increase in the Biomarker Score correlated to neuroanatomical alterations. These results, obtained in a large cohort of MS patients evaluated for serum metabolic compounds connected to energy metabolism, demonstrated that the Biomarker Score might represent a pragmatic, resource saving, easy to obtain, laboratory tool useful to monitor MS patients and predict at an early stage who will switch from an RR to a progressive disease course. For the first time, it was also clearly shown a link between mitochondrial dysfunction and MRI lesions characteristic of MS.

Indexed as

Disease ProgressionMagnetic Resonance ImagingPersons with DisabilitiesAdultBiomarkersCohort StudiesEnergy MetabolismFemaleHumansMaleMiddle AgedMultiple SclerosisNeuroimagingBiomarkersBiomarker ScoreClinical disabilityEnergy-related serum metabolitesMitochondrial dysfunctionMultiple sclerosis

Identifiers

PMID27826747
OpenAlexW2552053336

What OpenQuestion holds

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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.