S100B protein: general characteristics and pathophysiological implications in the Central Nervous System

Arrais, Ana Cristina; Melo, Lívia Helena M. F.; Norrara, Bianca; Almeida, Marina Abuquerque B.; Freire, Kalina Fernandes; Melo, Acydalia Madruga M. F.; Oliveira, Lucidio Clebeson de; Lima, Francisca Overlânia Vieira; Engelberth, Rovena Clara Galvão Januário; Cavalcante, Jeferson de Souza; Araújo, Dayane Pessoa de; Gúzen, Fausto Pierdoná; Freire, Marco Aurélio M.; Cavalcanti, José Rodolfo Lopes de Paiva

doi:10.1080/00207454.2020.1807979

Cited by 13 publications

(7 citation statements)

References 72 publications

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“…The above findings suggest that the four hub genes were possibly related to human disorder genesis and progression, like OP. Chromosomal rearrangement and expression changes of S100B gene have been verified to be related to several nervous system diseases, neoplastic diseases, endocrine diseases like Alzheimer’s disease (AD), Down’s syndrome, epilepsy, amyotrophic lateralizing sclerosis, tumor and type 1 diabetes ( 38 , 39 ). In addition, FGF13 has extensive activities in promoting mitosis and cell survival, which participates in numerous biological processes, including embryonic development, cell growth, morphogenesis, tissue repair, tumor growth and invasion ( 40 ).…”

Section: Discussionmentioning

confidence: 99%

A novel prognostic 6-gene signature for osteoporosis

et al. 2022

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IntroductionThe incidence of osteoporosis (OP) keeps increasing due to global aging of the population. Therefore, identifying the diagnostic and prognostic biomarkers of OP is of great significance.MethodsmRNA data from OP and non-OP samples were obtained from GEO database, which were divided into training set (GSE35959) and testing sets (GSE7158, GSE62402, GSE7429 and GSE56815). Gene modules most significantly related to OP were revealed using weighted gene co-expression network analysis (WGCNA) and differentially expressed genes (DEGs) between OP and normal samples in training set were identified using limma R package. Thereafter, above two gene sets were intersected to obtain the genes potentially related to OP. Protein-protein interaction (PPI) pairs were screened by STRING database and visualized using Cytoscape, while the plug-in cytoHubba was used to screen hub genes by determining their topological parameters. Afterwards, a diagnostic model was constructed using those hub genes, whose creditability was further evaluated by testing sets.ResultsThe results of WGCNA analysis found the Black module was most significantly related to OP, which included altogether 1286 genes. Meanwhile, 2771 DEGs were discovered between OP patients and the normal controls. After taking the intersection, 479 genes were identified potentially correlated with the development of OP. Subsequently, six hub genes were discovered through PPI network construction and node topological analysis. Finally, we constructed a support vector machine model based on these six genes, which can accurately classified training and testing set samples into OP and normal groups.ConclusionOur current study constructed a six hub genes-based diagnostic model for OP. Our findings may shed some light on the research of the early diagnosis for OP and had certain practical significance.

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Section: Discussionmentioning

confidence: 99%

A novel prognostic 6-gene signature for osteoporosis

et al. 2022

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“…To obtain quantitative insight into the distribution of clinically employed CSF biomarkers, we determined the ventricular versus lumbar levels of selected biomarkers with an ELISA-based approach. Of the employed biomarkers, only one (a biomarker of general neurodegeneration; S100B [38][39][40][41]) was detected in both the ELISA-based approach and the mass spectrometry-based analysis, and to verify the comparability between the approaches, we compared S100B between the methods (Fig. 3A).…”

Section: Clinical Biomarkers Distribute Differentially In the Csf Com...mentioning

confidence: 99%

Differential proteomic profile of lumbar and ventricular cerebrospinal fluid

Rostgaard

Olsen

Ottenheijm

et al. 2022

Preprint

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Background: Pathological cerebral conditions may manifest in altered composition of the cerebrospinal fluid (CSF). Although diagnostic CSF analysis seeks to establish pathological disturbances in the brain proper, CSF is generally sampled from the lumbar compartment for reasons of technical ease and ethical considerations. We here aimed to compare the molecular composition of CSF obtained from the ventricular versus the lumbar CSF compartments to establish a relevance for employing lumbar CSF as a proxy for the CSF bathing the brain tissue. Methods: CSF was collected from 46 patients with idiopathic normal pressure hydrocephalus (iNPH) patients during their diagnostic workup (lumbar samples) and in connection with their subsequent CSF diversion shunt surgery (ventricular samples). The mass-spectrometry-based proteomic profile was determined in these samples and in addition, selected biomarkers were quantified with ELISA (S100B, neurofilament light (NfL), amyloid-β (Aβ40, Aβ42), and total tau (T-tau) and phosphorylated tau (P-tau) forms). The latter analysis was extended to include paired porcine samples obtained from the lumbar compartment and the cerebromedullar cistern closely related to the ventricles. Results: In total 1,231 proteins were detected in the human CSF. Of these, 216 distributed equally in the two CSF compartments, whereas 22 were preferentially (or solely) present in the ventricular CSF and four in the lumbar CSF. The selected biomarkers of neurodegeneration and Alzheimer’s disease displayed differential distribution, some with higher (S100B, T-tau, and P-tau) and some with lower (NfL, Aβ40, Aβ42) levels in the ventricular compartment. In the porcine samples, all biomarkers were most abundant in the lumbar CSF. Conclusions: For a range of CSF proteins and biomarkers, one can reliably employ lumbar CSF as a proxy for ventricular CSF. However, the overall proteomic profile differs between these compartments, and so does the distribution of clinically employed biomarkers. It is therefore important to verify the compartmental preference of the proteins or biomarkers of interest prior to extrapolating from lumbar CSF to that of the ventricular fluid bordering the brain.

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“…Calcium-binding protein Primarily produced by astrocytes and mainly expressed in the cytoplasm of these cells, but oligodendrocytes also express S100B. This protein is involved in calcium homeostasis, and as glial cells are sensitive to CNS disturbances, S100B is usually regarded as an indirect biomarker of neural injury [103,[204][205][206][207] ↑ in a model of stroke-prone spontaneously hypertensive rats [204]; ↓ in a model of diabetic ketoacidosis brain injury [205]; ↑ in an in vitro model of MS [206] Cytokines…”

Section: S100bmentioning

confidence: 99%

‘A picture is worth a thousand words’: The use of microscopy for imaging neuroinflammation

Fraga

Tassinari

Jantsch

et al. 2021

Clinical and Experimental Immunology

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Since the first studies of the nervous system by the Nobel laureates Camillo Golgi and Santiago Ramon y Cajal using simple dyes and conventional light microscopes, microscopy has come a long way to the most recent techniques that make it possible to perform images in live cells and animals in health and disease. Many pathological conditions of the central nervous system have already been linked to inflammatory responses. In this scenario, several available markers and techniques can help imaging and unveil the neuroinflammatory process. Moreover, microscopy imaging How to cite this article: de Fraga LS, Tassinari ID, Jantsch J, Guedes RP, Bambini-Junior V. 'A picture is worth a thousand words': The use of microscopy for imaging neuroinflammation.

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S100B protein: general characteristics and pathophysiological implications in the Central Nervous System

Cited by 13 publications

References 72 publications

A novel prognostic 6-gene signature for osteoporosis

A novel prognostic 6-gene signature for osteoporosis

Differential proteomic profile of lumbar and ventricular cerebrospinal fluid

‘A picture is worth a thousand words’: The use of microscopy for imaging neuroinflammation

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