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Liu J, Lu C. SCUBE1 Promotes Gestational Diabetes Mellitus: A Bioinformatics and Experimental Investigation. Biochem Genet 2024:10.1007/s10528-024-10769-7. [PMID: 38565759 DOI: 10.1007/s10528-024-10769-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/01/2024] [Indexed: 04/04/2024]
Abstract
Gestational diabetes mellitus (GDM) is one of the most common metabolic diseases in pregnant women, posing significant risks to the life and health of both mothers and fetuses. With improving living standards, the incidence of GDM is increasing rapidly. Therefore, understanding the underlying mechanism of GDM is of paramount importance. We downloaded two datasets from the Gene Expression Omnibus (GEO) database, containing sequencing data specifically related to "gestational diabetes" and "placenta". By merging these two datasets, a mRNA expression dataset was obtained and subjected to bioinformatics analyses. To screen out corresponding genes, differential analysis and weighted correlation network analysis (WGCNA) were carried out. Lasso, support vector machine and random forest analyses were subsequently performed for identifying key genes from the differentially expressed genes (DEGs) jointly screened out through differential analysis and WGCNA. Afterwards, immunoinfiltration and correlation analysis were performed to screen immune cells that play a role in disease progression and explore the correlation between the screened key genes and immune cells, after which Western Blot, quantitative real-time polymerase chain reaction, Immunohistochemistry, methyl thiazolyl tetrazolium, flow cytometry, scratch and Transwell assays were, respectively, performed for verification. For further verification, we found that the expression levels of MAP6D1 and SCUBE1 in embryonic tissues of GDM patients was higher compared to those of healthy pregnant women, which was consistent with the results of bioinformatics analysis. Consequently, SCUBE1 was selected for follow-up experiment. In order to explore the role of SCUBE1 in the development of GDM, we treated the trophoblastic cells HTR-8/SVneo with high glucose, and on this basis downregulated the expression of SCUBE1. Through further analysis, we observed that SCUBE1 had a role in reducing cell activity, migration and invasion, and promoting cell apoptosis. In summary, SCUBE1 promotes the development of GDM by increasing cell apoptosis and reducing cell activity, migration, and invasion.
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Affiliation(s)
- Junru Liu
- Department of Endocrinology, Jinhua People's Hospital, No. 267 Danxi East Road, Jinhua, 321000, Zhejiang Province, China
| | - Caijuan Lu
- Department of Obstetrics, Hangzhou First People's Hospital, No. 261 Huansha Road, Hangzhou, 310006, Zhejiang Province, China.
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Karamese M, Gumus A, Atalay E, Tutuncu EE. Assessment of the levels of some prognostic biomolecules (galectins, ACE2, SCUBE1/2/3) in COVID-19 patients. Future Microbiol 2023; 18:1329-1337. [PMID: 37910069 DOI: 10.2217/fmb-2023-0099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 07/20/2023] [Indexed: 11/03/2023] Open
Abstract
Aim: Our aim was to investigate the differences between healthy people and COVID-19 patients in terms of some immunological biomolecules, especially including those related to the inflammation process. Materials & methods: A total of 180 participants (90 healthy controls and 90 COVID-19 patients) were included. The expression levels of eight different inflammation-related biomolecules were measured by the ELISA technique. Results: The mean levels of ACE2, ANG1-7, GAL3, GAL9, SCUBE1, SCUBE2 and SCUBE3 were elevated in COVID-19 patients when compared with healthy controls, while the mean level of GAL2 was lower in COVID-19 patients than controls. Conclusion: To understand the cytokine storm mechanism and related parameters, more detailed studies should be performed investigating more related biomolecules and related signaling pathways.
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Affiliation(s)
- Murat Karamese
- Department of Medical Microbiology, Kafkas University, Faculty of Medicine, Kars, 36100, Turkey
| | - Abdullah Gumus
- Department of Medical Microbiology, Kafkas University, Faculty of Medicine, Kars, 36100, Turkey
| | - Eray Atalay
- Department of Internal Medicine, Kafkas University, Faculty of Medicine, Kars, 36100, Turkey
| | - Emin E Tutuncu
- Department of Clinical Microbiology & Infectious Diseases, Etlik City Hospital, Ankara, 06100, Turkey
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Zhou X, Fu S, Wu Y, Guo Z, Dian W, Sun H, Liao Y. C-reactive protein-to-albumin ratio as a biomarker in patients with sepsis: a novel LASSO-COX based prognostic nomogram. Sci Rep 2023; 13:15309. [PMID: 37714898 PMCID: PMC10504378 DOI: 10.1038/s41598-023-42601-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023] Open
Abstract
To develop a C-reactive protein-to-albumin ratio (CAR)-based nomogram for predicting the risk of in-hospital death in sepsis patients. Sepsis patients were selected from the MIMIC-IV database. Independent predictors were determined by multiple Cox analysis and then integrated to predict survival. The performance of the model was evaluated using the concordance index (C-index), receiver operating characteristic curve (ROC) analysis, and calibration curve. The risk stratifications analysis and subgroup analysis of the model in overall survival (OS) were assessed by Kaplan-Meier (K-M) curves. A total of 6414 sepsis patients were included. C-index of the CAR-based model was 0.917 [standard error (SE): 0.112] for the training set and 0.935 (SE: 0.010) for the validation set. The ROC curve analysis showed that the area under the curve (AUC) of the nomogram was 0.881 in the training set and 0.801 in the validation set. And the calibration curve showed that the nomogram performs well in both the training and validation sets. K-M curves indicated that patients with high CAR had significantly higher in-hospital mortality than those with low CAR. The CAR-based model has considerably high accuracy for predicting the OS of sepsis patients.
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Affiliation(s)
- Xin Zhou
- Department of Emergency/Intensive Care Unit, Wuhan Third Hospital, Tongren Hospital of Wuhan University, No. 216 Guanshan Avenue, Hongshan District, Wuhan, Hubei, China.
| | - Shouzhi Fu
- Department of Emergency/Intensive Care Unit, Wuhan Third Hospital, Tongren Hospital of Wuhan University, No. 216 Guanshan Avenue, Hongshan District, Wuhan, Hubei, China
| | - Yisi Wu
- Cardiac Function Department, Asia Heart Hospital, Wuhan, China
| | - Zhenhui Guo
- Department of 120 Emergency Center, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, China
| | - Wankang Dian
- Department of Emergency/Intensive Care Unit, Wuhan Third Hospital, Tongren Hospital of Wuhan University, No. 216 Guanshan Avenue, Hongshan District, Wuhan, Hubei, China
| | - Huibin Sun
- Department of Emergency/Intensive Care Unit, Wuhan Third Hospital, Tongren Hospital of Wuhan University, No. 216 Guanshan Avenue, Hongshan District, Wuhan, Hubei, China
| | - Youxia Liao
- Department of Emergency/Intensive Care Unit, Wuhan Third Hospital, Tongren Hospital of Wuhan University, No. 216 Guanshan Avenue, Hongshan District, Wuhan, Hubei, China.
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Altuntaş G, Altuntaş M, Imamoğlu M, Çolakoğlu MK, Uydu HA, Bedir R. Diagnostic value of serum signal peptide-CUB-EGF-like domain-containing protein 1 levels in patients with acute appendicitis. REVISTA DA ASSOCIACAO MEDICA BRASILEIRA (1992) 2023; 69:e20230076. [PMID: 37585982 PMCID: PMC10427172 DOI: 10.1590/1806-9282.20230076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 05/27/2023] [Indexed: 08/18/2023]
Abstract
OBJECTIVE Acute appendicitis is one of the most common surgical causes of an acute abdomen among patients admitted to the emergency room due to abdominal pain. The clinical diagnosis of acute appendicitis is usually difficult and is made by evaluating the clinical, laboratory, and radiological findings together. The aim of this study was to investigate the diagnostic potential of signal peptide-CUB-EGF-like domain-containing protein 1 as a biomarker for acute appendicitis. METHODS A total of 67 adult patients without any comorbidities who presented to the emergency department with abdominal pain and were clinically diagnosed with acute appendicitis were included in the case group. The patients included in the study were classified into the negative appendectomy group and the acute appendicitis group according to their histopathological final diagnosis. In addition, 48 healthy volunteers without comorbidities were included in the control group. Signal peptide-CUB-EGF-like domain-containing protein 1 levels of patients and the control group were measured. RESULTS According to postoperative histopathological examinations of the patients, 7 (10.4%) patients were diagnosed with negative appendectomy, and 60 (89.6%) patients were diagnosed with acute appendicitis. Signal peptide-CUB-EGF-like domain-containing protein 1 levels were higher in the patients with acute appendicitis than in negative appendectomy patients (p=0.012). Signal peptide-CUB-EGF-like domain-containing protein 1 levels were also higher in the case group compared to the control group (p=0.001). CONCLUSION The admission signal peptide-CUB-EGF-like domain-containing protein 1 level was significantly higher in adults with acute appendicitis. The SCUBE1 level is a novel but promising biomarker that aids in the diagnosis of acute appendicitis.
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Affiliation(s)
- Gürkan Altuntaş
- Recep Tayyip Erdogan University, Faculty of Medicine, Department of Emergency Medicine – Rize, Turkey
| | - Mehmet Altuntaş
- Recep Tayyip Erdogan University, Faculty of Medicine, Department of Emergency Medicine – Rize, Turkey
| | - Melih Imamoğlu
- Karadeniz Technical University, Faculty of Medicine, Department of Emergency Medicine – Trabzon, Turkey
| | - Muhammet Kadri Çolakoğlu
- Health Sciences University, Ankara City Hospital, Department of Gastrointestinal Surgery – Ankara, Turkey
| | - Hüseyin Avni Uydu
- Recep Tayyip Erdogan University, Faculty of Medicine, Department of Medical Biochemistry – Rize, Turkey
| | - Recep Bedir
- Recep Tayyip Erdogan University, Faculty of Medicine, Department of Pathology – Rize, Turkey
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Molano-Franco D, Arevalo-Rodriguez I, Muriel A, Del Campo-Albendea L, Fernández-García S, Alvarez-Méndez A, Simancas-Racines D, Viteri A, Sanchez G, Fernandez-Felix B, Lopez-Alcalde J, Solà I, Osorio D, Khan KS, Nuvials X, Ferrer R, Zamora J. Basal procalcitonin, C-reactive protein, interleukin-6, and presepsin for prediction of mortality in critically ill septic patients: a systematic review and meta-analysis. Diagn Progn Res 2023; 7:15. [PMID: 37537680 PMCID: PMC10399020 DOI: 10.1186/s41512-023-00152-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 07/13/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Numerous biomarkers have been proposed for diagnosis, therapeutic, and prognosis in sepsis. Previous evaluations of the value of biomarkers for predicting mortality due to this life-threatening condition fail to address the complexity of this condition and the risk of bias associated with prognostic studies. We evaluate the predictive performance of four of these biomarkers in the prognosis of mortality through a methodologically sound evaluation. METHODS We conducted a systematic review a systematic review and meta-analysis to determine, in critically ill adults with sepsis, whether procalcitonin (PCT), C-reactive protein (CRP), interleukin-6 (IL-6), and presepsin (sCD14) are independent prognostic factors for mortality. We searched MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials up to March 2023. Only Phase-2 confirmatory prognostic factor studies among critically ill septic adults were included. Random effects meta-analyses pooled the prognostic association estimates. RESULTS We included 60 studies (15,681 patients) with 99 biomarker assessments. Quality of the statistical analysis and reporting domains using the QUIPS tool showed high risk of bias in > 60% assessments. The biomarker measurement as a continuous variable in models adjusted by key covariates (age and severity score) for predicting mortality at 28-30 days showed a null or near to null association for basal PCT (pooled OR = 0.99, 95% CI = 0.99-1.003), CRP (OR = 1.01, 95% CI = 0.87 to 1.17), and IL-6 (OR = 1.02, 95% CI = 1.01-1.03) and sCD14 (pooled HR = 1.003, 95% CI = 1.000 to 1.006). Additional meta-analyses accounting for other prognostic covariates had similarly null findings. CONCLUSION Baseline, isolated measurement of PCT, CRP, IL-6, and sCD14 has not been shown to help predict mortality in critically ill patients with sepsis. The role of these biomarkers should be evaluated in new studies where the patient selection would be standardized and the measurement of biomarker results. TRIAL REGISTRATION PROSPERO (CRD42019128790).
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Affiliation(s)
- Daniel Molano-Franco
- Hospital San José, Fundación Universitaria de Ciencias de la Salud (FUCS), CIMCA Research Group, Bogotá, Colombia
| | - Ingrid Arevalo-Rodriguez
- Clinical Biostatistics Unit, Hospital Universitario Ramón y Cajal, IRYCIS, CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
| | - Alfonso Muriel
- Clinical Biostatistics Unit, Hospital Universitario Ramón y Cajal, IRYCIS, CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Nursing and Physiotherapy Department, University of Alcala, Madrid, Spain
| | - Laura Del Campo-Albendea
- Clinical Biostatistics Unit, Hospital Universitario Ramón y Cajal, IRYCIS, CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Silvia Fernández-García
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Ana Alvarez-Méndez
- Nursing Department, Faculty of Nursing, Physiotherapy and Podiatry, Complutense University of Madrid, Madrid, Spain
| | - Daniel Simancas-Racines
- Centro de investigación en Salud Pública y Epidemiología Clínica (CISPEC) Facultad de Ciencias de la Salud "Eugenio Espejo", Universidad UTE, Quito, Ecuador
| | - Andres Viteri
- Centro de investigación en Salud Pública y Epidemiología Clínica (CISPEC) Facultad de Ciencias de la Salud "Eugenio Espejo", Universidad UTE, Quito, Ecuador
| | - Guillermo Sanchez
- Hospital Universitario Mayor-Méderi; Universidad del Rosario, Bogota, Colombia
| | - Borja Fernandez-Felix
- Clinical Biostatistics Unit, Hospital Universitario Ramón y Cajal, IRYCIS, CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Jesus Lopez-Alcalde
- Clinical Biostatistics Unit, Hospital Universitario Ramón y Cajal, IRYCIS, CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Universidad Francisco de Vitoria, Pozuelo de Alarcon, Spain
- Institute for Complementary and Integrative Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Ivan Solà
- Iberoamerican Cochrane Centre, IIB SANT PAU, CIBER of Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Dimelza Osorio
- Health Services Research Group, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, CIBER of Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Khalid Saeed Khan
- Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Granada, CIBER of Epidemiology and Public Health (CIBERESP), Granada, Spain
| | - Xavier Nuvials
- Critical Care Department, Vall d'Hebron University Hospital, Shock Organ Dysfunction and Resuscitation Research Group (SODIR), Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Ricard Ferrer
- Critical Care Department, Vall d'Hebron University Hospital, Shock Organ Dysfunction and Resuscitation Research Group (SODIR), Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Javier Zamora
- Clinical Biostatistics Unit, Hospital Universitario Ramón y Cajal, IRYCIS, CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
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Kabra R, Acharya S, Shukla S, Kumar S, Wanjari A, Mahajan S, Gaidhane SA, Bhansali PJ, Wasnik P. Serum Lactate-Albumin Ratio: Soothsayer for Outcome in Sepsis. Cureus 2023; 15:e36816. [PMID: 37123772 PMCID: PMC10146386 DOI: 10.7759/cureus.36816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 03/28/2023] [Indexed: 03/29/2023] Open
Abstract
AIM The aim of this study is to assess the efficacy of the serum lactate/albumin (L/A) ratio as a prognostic marker of sepsis syndrome. MATERIALS AND METHODS This study was conducted in the Internal Medicine Department at Acharya Vinoba Bhave Rural Hospital with a sample size of 160 cases of sepsis. The serum L/A ratio was calculated on admission and correlated with deaths and morbidity. Statistical analysis was significant if the P-value was less than 0.05. RESULTS The mean age of patients was 52.83 ± 16.80 years with a male predominance (64.4% vs. 35.6%). The mean L/A ratio was 0.95 ± 0.46. The proportion of discharged subjects and mortality were 58.8% and 41.2%, respectively. The study found that a higher mean L/A ratio (1.1-1.44) was significantly linked to the various variables in the study. Furthermore, a significantly higher median L/A ratio of 1.23 was found in subjects with vasopressor use. The median L/A ratio in the Discharge group and Death group was 0.64 and 1.27, respectively. The area under the receiver operating characteristic (AUROC) curve indicated that accurate diagnostic performance was 0.976 in predicting Death versus Discharge for the L/A ratio. CONCLUSION This study found that, compared to lactate and albumin alone, the predictor value of the L/A ratio was outstanding in predicting death and hospital stay (discharge) among sepsis participants, with a sensitivity of 100% and a specificity of 88%.
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Erdoğan M, Findikli HA. Prognostic value of the lactate/albumin ratio for predicting mortality in patients with pneumosepsis in intensive care units. Medicine (Baltimore) 2022; 101:e28748. [PMID: 35089251 PMCID: PMC8797532 DOI: 10.1097/md.0000000000028748] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 01/08/2022] [Indexed: 01/05/2023] Open
Abstract
The lactate/albumin (L/A) ratio correlates with Acute Physiology and Chronic Health Evaluation 2 (APACHE-2) and Sequential Organ Failure Assessment (SOFA) scores. This study examined whether the L/A ratio has prognostic value in a larger group of critically ill (adult) patients admitted to an intensive care unit (ICU) due to pneumosepsis.This retrospective study analyzed the data of 273 patients with pneumosepsis admitted to the Internal Medicine ICU of Adana City Training and Research Hospital between 2018 and 2020. Patients diagnosed with pneumosepsis were included in the study. The data were obtained from the hospital system. Patients who had cancer, who were pregnant, and patients whose necessary data could not obtain for the study were excluded from the study.The L/A ratio was superior to lactate or albumin alone as a predictor of mortality. Furthermore, this result was valid for patients with kidney and hepatic dysfunction. A correlation occurred between the L/A ratio and APACHE-2 and SOFA scores in patients with pneumosepsis.The L/A ratio can be an independent predictor of mortality in patients with pneumosepsis and patients with pneumosepsis with renal and hepatic dysfunction. The L/A ratio correlated positively with lactate levels and APACHE-2 and SOFA scores but negatively with albumin levels.
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Affiliation(s)
- Murat Erdoğan
- Department of Internal Medicine Intensive Care Unit, University of Health Sciences - Adana Health Practice and Research Center, Adana, Turkey
| | - Hüseyin Avni Findikli
- Department of Internal Medicine, Kahramanmaraş Necip Fazil City Hospital, Kahramanmaraş, Turkey
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Discovering the Protective Effects of Resveratrol on Aflatoxin B1-Induced Toxicity: A Whole Transcriptomic Study in a Bovine Hepatocyte Cell Line. Antioxidants (Basel) 2021; 10:antiox10081225. [PMID: 34439473 PMCID: PMC8388899 DOI: 10.3390/antiox10081225] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 07/26/2021] [Accepted: 07/27/2021] [Indexed: 12/13/2022] Open
Abstract
Aflatoxin B1 (AFB1) is a natural feed and food contaminant classified as a group I carcinogen for humans. In the dairy industry, AFB1 and its derivative, AFM1, are of concern for the related economic losses and their possible presence in milk and dairy food products. Among its toxic effects, AFB1 can cause oxidative stress. Thus, dietary supplementation with natural antioxidants has been considered among the strategies to mitigate AFB1 presence and its toxicity. Here, the protective role of resveratrol (R) has been investigated in a foetal bovine hepatocyte cell line (BFH12) exposed to AFB1, by measuring cytotoxicity, transcriptional changes (RNA sequencing), and targeted post-transcriptional modifications (lipid peroxidation, NQO1 and CYP3A enzymatic activity). Resveratrol reversed the AFB1-dependent cytotoxicity. As for gene expression, when administered alone, R induced neglectable changes in BFH12 cells. Conversely, when comparing AFB1-exposed cells with those co-incubated with R+AFB1, greater transcriptional variations were observed (i.e., 840 DEGs). Functional analyses revealed that several significant genes were involved in lipid biosynthesis, response to external stimulus, drug metabolism, and inflammatory response. As for NQO1 and CYP3A activities and lipid peroxidation, R significantly reverted variations induced by AFB1, mostly corroborating and/or completing transcriptional data. Outcomes of the present study provide new knowledge about key molecular mechanisms involved in R antioxidant-mediated protection against AFB1 toxicity.
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