Evidence map›Paper›PMID 28974732›Full record

ArticleScientific reports2017

Intermediate and low abundant protein analysis of vitamin D deficient obese and non-obese subjects by MALDI-profiling.

Nasser M Al-Daghri, Enrica Torretta, Daniele Capitanio, Chiara Fania, Franca Rosa Guerini, Shaun B Sabico, Mario Clerici, Cecilia Gelfi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
0.6field-weighted citation impact, top 32% 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, 11 citations in OpenAlex.

  1. Vitamin D Status and Its Association with Multiple Intelligence among Arab Adolescents.International journal of environmental research and public health · 2021
    Trial
  2. Interplay between Vitamin D and Sphingolipids in Cardiometabolic Diseases.International journal of molecular sciences · 2023
    Review
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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

8 authors at 4 institutions in 2 countries.

Nasser M Al-DaghriPrince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.ORCID 0000-0001-5472-1725
Enrica TorrettaDepartment of Biomedical Sciences for Health, University of Milan, Segrate (Milan), Italy.
Daniele CapitanioDepartment of Biomedical Sciences for Health, University of Milan, Segrate (Milan), Italy.ORCID 0000-0001-7701-728X
Chiara FaniaClinical Proteomics Unit, Scientific Institute for Research, Hospitalization and Health Care (IRCCS) Policlinico San Donato, San Donato Milanese (Milan), Italy.
Franca Rosa GueriniDon C. Gnocchi Foundation, IRCCS, Milan, Italy.
Shaun B SabicoPrince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Mario ClericiDon C. Gnocchi Foundation, IRCCS, Milan, Italy.
Cecilia GelfiDepartment of Biomedical Sciences for Health, University of Milan, Segrate (Milan), Italy. cecilia.gelfi@unimi.it.ORCID 0000-0002-2996-6912
University of Milan · ITKing Saud University · SADon Carlo Gnocchi Foundation · ITIRCCS Policlinico San Donato · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a pathological condition caused by genetic and environmental factors, including vitamin D deficiency, which increases the risk of developing cardiovascular disorders and diabetes. This case-control study was designed to verify whether serum profiles could be identified differentiating obese and non-obese Saudis characterized by vitamin D deficiency and pathological levels of triglycerides, high-density lipoprotein cholesterol and high total cholesterol levels. The serum protein profiles of 64 vitamin D deficient (serum 25(OH)D < 50nmol/L) individuals with metabolic syndrome and with (n = 31; BMI ≥ 30) or without (n = 33; BMI < 30) obesity were analyzed by a quantitative label-free mass spectrometry approach (MALDI-profiling), combined with different serum immunodepletion strategies (Human7 and Human14 immuno-chromatographies), to analyze the intermediate- and low-abundant protein components. The analysis of intermediate-abundant proteins (Human7) in obese vs. non-obese subjects identified 14 changed peaks (p < 0.05) in the m/z range 1500-35000. Furthermore, the Human14 depletion provided new profiles related to obesity (121 changed peaks). Among changed peaks, 11 were identified in the m/z range 1500-4000 Da by high-resolution tandem mass spectrometry, belonging to apolipoprotein CIII, apolipoprotein B100, alpha-1-antichymotrypsin and complement C3. Data herein show that distinct protein profiles identify specific peptides belonging to lipid metabolism and inflammation processes that are associated with obesity and vitamin D deficiency.

Indexed as

AdultAgedBlood GlucoseBlood ProteinsBody Mass IndexFemaleHumansLipid MetabolismMaleMiddle AgedObesitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTriglyceridesVitamin DVitamin D DeficiencyBlood GlucoseBlood ProteinsTriglyceridesVitamin D

Identifiers

PMID28974732
PMCPMC5626753
OpenAlexW2760194262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.