Jose Diego Santotoribio

Dr. Jose Diego Santotoribio

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2011
Verified
Journal Article
Closed access
JCJ L Cabrera-Alarcon
J L Cabrera-Alarcon
Antonio Carrillo-VicoAntonio Carrillo-Vico
Antonio Carrillo-Vico
JSJose Diego Santotoribio
Jose Diego Santotoribio
ALA Leon-Justel
A Leon-Justel
RSR Sanchez-Gil
R Sanchez-Gil
JGJ M Guerrero
J M Guerrero

1 February 2017 in Medicina Clinica
Verified
Journal Article
Closed access
VRVictoria Ramos Ramos
Victoria Ramos Ramos
PSPablo Mesa Suárez
Pablo Mesa Suárez
JSJose Diego Santotoribio
Jose Diego Santotoribio
MGMaría Ángela González García
María Ángela González García
AMAntonio Muñoz-Hoyos
Antonio Muñoz-Hoyos

25 September 2023 in Clinical and Experimental Medicine
Verified
Journal Article
Closed access
PDF file
DNDavid Núñez-Jurado
David Núñez-Jurado
IRIsabel Rodríguez-Martín
Isabel Rodríguez-Martín
JGJuan Miguel Guerrero
Juan Miguel Guerrero
JSJose Diego Santotoribio
Jose Diego Santotoribio

1 May 2016 in Medicina Clinica
Verified
Journal Article
Closed access
PSPablo Mesa Suárez
Pablo Mesa Suárez
JSJose Diego Santotoribio
Jose Diego Santotoribio
VRVictoria Ramos Ramos
Victoria Ramos Ramos
MGMaría Ángela González García
María Ángela González García
SRSantiago Pérez Ramos
Santiago Pérez Ramos
AMAntonio Muñoz-Hoyos
Antonio Muñoz-Hoyos

25 June 2020 in Clinical Chemistry and Laboratory Medicine (CCLM)
Verified
Journal Article
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PDF file
ELEsperanza Lepe-Balsalobre
Esperanza Lepe-Balsalobre
JSJose Diego Santotoribio
Jose Diego Santotoribio
RNRamiro Nuñez-Vazquez
Ramiro Nuñez-Vazquez
SGSalvador García-Morillo
Salvador García-Morillo
PJPilar Jiménez-Arriscado
Pilar Jiménez-Arriscado
HMHada C. Macher
Hada C. Macher
Objectives: Gaucher disease (GD) is the most common inherited lysosomal storage disease, caused by mutations in acid β-glucosidase ( GBA ) gene. This study aimed to identify mutations in Andalusia patients with GD and their genotype-phenotype correlation. Methods: Descriptive observational study. University Hospital Virgen del Rocio patients diagnosed from GD from 1999 to 2019 were included. Demographic and clinical data, β-glucocerebrosidase activity, variants pathogenic in GBA gene and biomarkers for monitoring treatment were collected from digital medical record. Results: Twenty-six patients with aged between 1 day and 52 years were studied. A total of six mutations described as pathogenic and one mutation not described above [c.937T>C (p.Tyr313His)] were identified in the GBA gene, four patients were homozygotes and 22 compound heterozygotes. Twenty-four patients were diagnosed in non-neuropathic form (type 1) and two cases presented neurological involvement (type 2 or 3). The most common variant was c.1226A>G (p.Asn409Ser), which was detected in 24 patients, followed by c.1448T>C (p.Leu483Pro) variant, identified in 13 patients. The c.1448T>C (p.Leu483Pro) mutation has been presented in the most severe phenotypes with neurological involvement associated with type 2 and 3 GD, while c.1226A>G (p.Asn409Ser) mutation has not been associated with neurological alterations. Splenomegaly and bone disease were the most frequent clinical manifestations, and thrombocytopenia was the most common hematological disorder. Conclusions: The c.1226A>G (p.Asn409Ser) and c.1448T>C (p.Leu483Pro) mutations were the most common. The c.937T>C (p.Tyr313His) was identified as a novel mutation. The c.1448T>C (p.Leu483Pro) mutation was associated with neurological alterations and c.1226A>G (p.Asn409Ser) mutation has not been associated it.

24 September 2019 in PLOS ONE
Verified
Journal Article
Open access
PDF file
JSJose Diego Santotoribio
Jose Diego Santotoribio
LVLuis del Valle-Vazquez
Luis del Valle-Vazquez
ATAngela García-De la Torre
Angela García-De la Torre
DCDaniel del Castillo-Otero
Daniel del Castillo-Otero
JLJuan-Bosco Lopez-Saez
Juan-Bosco Lopez-Saez
MPMaria J. Sanchez del Pino
Maria J. Sanchez del Pino
Pleural fluid homocysteine (HCY) can be useful for diagnosis of malignant pleural effusion (MPE). There are no published studies comparing the diagnostic accuracy of HCY with other tumour markers in pleural fluid for diagnosis of MPE. The aim was to compare the accuracy of HCY with that of carcinoembryonic antigen (CEA), cancer antigen (CA) 15.3, CA19.9 and CA125 in pleural fluid and to develop a probabilistic model using these biomarkers to differentiate benign (BPE) from MPE. Patients with pleural effusion were randomly included. HCY, CEA, CA15.3, CEA19.9 and CA125 were quantified in pleural fluid. Patients were classified into two groups: MPE or BPE. By applying logistic regression analysis, a multivariate probabilistic model was developed using pleural fluid biomarkers. The diagnostic accuracy was determined by receiver operating characteristic (ROC) curves and calculating the area under the curve (AUC). Population of study comprised 133 patients (72 males and 61 females) aged between 1 and 96 years (median = 70 years), 81 BPE and 52 MPE. The logistic regression analysis included HCY (p<0.0001) and CEA (p = 0.0022) in the probabilistic model and excluded the other tumour markers. The probabilistic model was: HCY+CEA = Probability(%) = 100×(1+e-z)-1, where Z = 0.5471×[HCY]+0.3846×[CEA]–8.2671. The AUCs were 0.606, 0.703, 0.778, 0.800, 0.846 and 0.948 for CA125, CA19.9, CEA, CA15.3, HCY and HCY+CEA, respectively. Pleural fluid HCY has higher accuracy for diagnosis of MPE than CEA, CA15.3, CA19.9 and CA125. The combination of HCY and CEA concentrations in pleural fluid significantly improves the diagnostic accuracy of the test.