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  1. Article: Association of COVID-19 Vaccines ChAdOx1-S and BNT162b2 with Circulating Levels of Coagulation Factors and Antithrombin.

    Hasan, Amal / Arefanian, Hossein / Channanath, Arshad Mohamed / AlKhairi, Irina / Cherian, Preethi / Devarajan, Sriraman / Thanaraj, Thangavel Alphonse / Abu-Farha, Mohamed / Abubaker, Jehad / Al-Mulla, Fahd

    Vaccines

    2022  Volume 10, Issue 8

    Abstract: ... of either ChAdOx1-S or BNT162b2 COVID-19 vaccine, within the timeframe of two months, who had no previous history ... to antithrombin ratio were higher with BNT162b2 compared to ChAdOx1-S vaccine.: Conclusions: The clinical ...

    Abstract Background: Severe coronavirus disease 2019 (COVID-19) is associated with increased risk of thrombosis and thromboembolism. Exposure to COVID-19 vaccines is also associated with immune thrombotic thrombocytopenia, ischemic stroke, intracerebral haemorrhage, and cerebral venous thrombosis, and it is linked with systemic activation of coagulation.
    Methods: We assess the circulating levels of coagulation factors (factors XI, XII, XIII, and prothrombin) and antithrombin in individuals who completed two doses of either ChAdOx1-S or BNT162b2 COVID-19 vaccine, within the timeframe of two months, who had no previous history of COVID-19.
    Results: Elevated levels of factors XI, XII, XIII, prothrombin, and antithrombin were seen compared to unvaccinated controls. Levels of coagulation factors, antithrombin, and prothrombin to antithrombin ratio were higher with BNT162b2 compared to ChAdOx1-S vaccine.
    Conclusions: The clinical significance of such coagulation homeostasis disruption remains to be elucidated but it is worthy of global scientific follow-up effort.
    Language English
    Publishing date 2022-07-31
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2703319-3
    ISSN 2076-393X
    ISSN 2076-393X
    DOI 10.3390/vaccines10081226
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Association of COVID-19 Vaccines ChAdOx1-S and BNT162b2 with Circulating Levels of Coagulation Factors and Antithrombin

    Amal Hasan / Hossein Arefanian / Arshad Mohamed Channanath / Irina AlKhairi / Preethi Cherian / Sriraman Devarajan / Thangavel Alphonse Thanaraj / Mohamed Abu-Farha / Jehad Abubaker / Fahd Al-Mulla

    Vaccines, Vol 10, Iss 8, p

    2022  Volume 1226

    Abstract: ... of either ChAdOx1-S or BNT162b2 COVID-19 vaccine, within the timeframe of two months, who had no previous history ... to antithrombin ratio were higher with BNT162b2 compared to ChAdOx1-S vaccine. Conclusions: The clinical ...

    Abstract Background: Severe coronavirus disease 2019 (COVID-19) is associated with increased risk of thrombosis and thromboembolism. Exposure to COVID-19 vaccines is also associated with immune thrombotic thrombocytopenia, ischemic stroke, intracerebral haemorrhage, and cerebral venous thrombosis, and it is linked with systemic activation of coagulation. Methods: We assess the circulating levels of coagulation factors (factors XI, XII, XIII, and prothrombin) and antithrombin in individuals who completed two doses of either ChAdOx1-S or BNT162b2 COVID-19 vaccine, within the timeframe of two months, who had no previous history of COVID-19. Results: Elevated levels of factors XI, XII, XIII, prothrombin, and antithrombin were seen compared to unvaccinated controls. Levels of coagulation factors, antithrombin, and prothrombin to antithrombin ratio were higher with BNT162b2 compared to ChAdOx1-S vaccine. Conclusions: The clinical significance of such coagulation homeostasis disruption remains to be elucidated but it is worthy of global scientific follow-up effort.
    Keywords COVID-19 vaccines ; coagulation factors ; antithrombin ; Medicine ; R
    Subject code 610
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Green Synthesis of Aluminum Oxide Nanoparticles Using Clerodendrum phlomidis and Their Antibacterial, Anti-inflammatory, and Antioxidant Activities.

    Thanaraj, Srigopika / Mitthun, A N K / Geetha Sravanthy, P / Carmelin, Durai Singh / Surya, Muthuvel / Saravanan, Muthupandian

    Cureus

    2024  Volume 16, Issue 1, Page(s) e52279

    Abstract: Introduction:  : Methods: The extract was prepared by the autoclave-assisted method, and the AlO-NPs were synthesized by the green synthesis method. The biosynthesized AlO-NPs were characterized by ultraviolet-visible (UV-Vis) spectroscopy, Fourier ... ...

    Abstract Introduction:  
    Methods: The extract was prepared by the autoclave-assisted method, and the AlO-NPs were synthesized by the green synthesis method. The biosynthesized AlO-NPs were characterized by ultraviolet-visible (UV-Vis) spectroscopy, Fourier transform infrared (FT-IR), field emission scanning electron microscopy (FE-SEM), and energy dispersive X-ray (EDX) analysis. The antibacterial property was assessed by the Kirby-Bauer well diffusion method, and the antioxidant activity was checked by DPPH (2,2-diphenyl-1-picrylhydrazyl) activity compared with the control L-ascorbic acid. Anti-inflammatory activity was evaluated by an albumin denaturation assay, and diclofenac was used as a control. IBM SPSS Statistics for Windows, Version 21.0 was used for the statistical analysis.  Results: An absorption peak at a wavelength of 380 nm was detected by UV-Vis spectroscopy analysis. It proves that AlO-NPs have been successfully produced by the green synthesis method. The results of the FT-IR study demonstrated the existence of numerous chemicals and functional groups in the 500-3500 cm
    Conclusion: According to the study's findings, AlO-NPs made using a greener synthesis approach have the potential to be used in a variety of industries and are also an affordable and sustainable way to effectively act as anti-inflammatory and antioxidant agents.
    Language English
    Publishing date 2024-01-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.52279
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Deep learning techniques for automated detection of autism spectrum disorder based on thermal imaging.

    Ganesh, Kavya / Umapathy, Snekhalatha / Thanaraj Krishnan, Palani

    Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine

    2021  Volume 235, Issue 10, Page(s) 1113–1127

    Abstract: Children with autism spectrum disorder have impairments in emotional processing which leads to the inability in recognizing facial expressions. Since emotion is a vital criterion for having fine socialisation, it is incredibly important for the autistic ... ...

    Abstract Children with autism spectrum disorder have impairments in emotional processing which leads to the inability in recognizing facial expressions. Since emotion is a vital criterion for having fine socialisation, it is incredibly important for the autistic children to recognise emotions. In our study, we have chosen the facial skin temperature as a biomarker to measure emotions. To assess the facial skin temperature, the thermal imaging modality has been used in this study, since it has been recognised as a promising technique to evaluate emotional responses. The aim of this study was the following: (1) to compare the facial skin temperature of autistic and non-autistic children by using thermal imaging across various emotions; (2) to classify the thermal images obtained from the study using the customised convolutional neural network compared with the ResNet 50 network. Fifty autistic and fifty non-autistic participants were included for the study. Thermal imaging was used to obtain the temperature of specific facial regions such as the eyes, cheek, forehead and nose while we evoked emotions (Happiness, anger and sadness) in children using an audio-visual stimulus. Among the emotions considered, the emotion anger had the highest temperature difference between the autistic and non-autistic participants in the region's eyes (1.9%), cheek (2.38%) and nose (12.6%). The accuracy obtained by classifying the thermal images of the autistic and non-autistic children using Customised Neural Network and ResNet 50 Network was 96% and 90% respectively. This computer aided diagnostic tool can be a predictable and a steadfast method in the diagnosis of the autistic individuals.
    MeSH term(s) Autism Spectrum Disorder/diagnostic imaging ; Autistic Disorder ; Child ; Deep Learning ; Emotions ; Facial Expression ; Humans
    Language English
    Publishing date 2021-06-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 1065942-0
    ISSN 2041-3033 ; 0046-2039 ; 0954-4119
    ISSN (online) 2041-3033
    ISSN 0046-2039 ; 0954-4119
    DOI 10.1177/09544119211024778
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A computational biology approach to identify potential protein biomarkers and drug targets for sporadic amyotrophic lateral sclerosis.

    Kumar, Rupesh / Malik, Md Zubbair / Thanaraj, Thangavel Alphonse / Bagabir, Sali Abubaker / Haque, Shafiul / Tambuwala, Murtaza / Haider, Shazia

    Cellular signalling

    2023  Volume 112, Page(s) 110915

    Abstract: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease caused by the loss of upper and lower motor neurons. The sporadic ALS (sALS) is a multigenic disorder and the complex mechanisms underlying its onset are still not fully delineated. ... ...

    Abstract Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease caused by the loss of upper and lower motor neurons. The sporadic ALS (sALS) is a multigenic disorder and the complex mechanisms underlying its onset are still not fully delineated. Despite the recent scientific advancements, certain aspects of ALS pathogenic targets need to be yet clarified. The aim of the presented study is to identify potential genetic biomarkers and drug targets for sALS, by analysing gene expression profiles, presented in the publicly available GSE68605 dataset, of motor neurons cells obtained from sALS patients. We used different computational approaches including differential expression analysis, protein network mapping, candidate protein biomarker (CPB) identification, elucidation of the role of functional modules, and molecular docking analysis. The resultant top ten up- and downregulated genes were further used to construct protein-protein interaction network (PPIN). The PPIN analysis resulted in identifying four CPBs (namely RIOK2, AKT1, CTNNB1, and TNF) that commonly overlapped with one another in network parameters (degree, bottleneck and maximum neighbourhood component). The RIOK2 protein emerged as a potential mediator of top five functional modules that are associated with RNA binding, lipoprotein particle receptor binding in pre-ribosome, and interferon, cytokine-mediated signaling pathway. Furthermore, molecular docking analysis revealed that cyclosporine exhibited the highest binding affinity (-8.6 kJ/mol) with RIOK2, and surpassed the FDA-approved ALS drugs, such as riluzole and edaravone. This suggested that cyclosporine may serve as a promising candidate for targeting RIOK2 downregulation observed in sALS patients. In order to validate our computational results, it is suggested that in vitro and in vivo studies may be conducted in future to provide a more detailed understanding of ALS diagnosis, prognosis, and therapeutic intervention.
    MeSH term(s) Humans ; Amyotrophic Lateral Sclerosis/drug therapy ; Amyotrophic Lateral Sclerosis/genetics ; Amyotrophic Lateral Sclerosis/metabolism ; Neurodegenerative Diseases ; Molecular Docking Simulation ; Proteins ; Computational Biology ; Biomarkers ; Cyclosporins/therapeutic use
    Chemical Substances Proteins ; Biomarkers ; Cyclosporins
    Language English
    Publishing date 2023-10-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1002702-6
    ISSN 1873-3913 ; 0898-6568
    ISSN (online) 1873-3913
    ISSN 0898-6568
    DOI 10.1016/j.cellsig.2023.110915
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Association between alleles, haplotypes, and amino acid variations in HLA class II genes and type 1 diabetes in Kuwaiti children.

    Dashti, Mohammed / Nizam, Rasheeba / Jacob, Sindhu / Al-Kandari, Hessa / Al Ozairi, Ebaa / Thanaraj, Thangavel Alphonse / Al-Mulla, Fahd

    Frontiers in immunology

    2023  Volume 14, Page(s) 1238269

    Abstract: Type 1 diabetes (T1D) is a complex autoimmune disorder that is highly prevalent globally. The interactions between genetic and environmental factors may trigger T1D in susceptible individuals. HLA genes play a significant role in T1D pathogenesis, and ... ...

    Abstract Type 1 diabetes (T1D) is a complex autoimmune disorder that is highly prevalent globally. The interactions between genetic and environmental factors may trigger T1D in susceptible individuals. HLA genes play a significant role in T1D pathogenesis, and specific haplotypes are associated with an increased risk of developing the disease. Identifying risk haplotypes can greatly improve the genetic scoring for early diagnosis of T1D in difficult to rank subgroups. This study employed next-generation sequencing to evaluate the association between HLA class II alleles, haplotypes, and amino acids and T1D, by recruiting 95 children with T1D and 150 controls in the Kuwaiti population. Significant associations were identified for alleles at the HLA-DRB1, HLA-DQA1, and HLA-DQB1 loci, including DRB1*03:01:01, DQA1*05:01:01, and DQB1*02:01:01, which conferred high risk, and DRB1*11:04:01, DQA1*05:05:01, and DQB1*03:01:01, which were protective. The DRB1*03:01:01~DQA1*05:01:01~DQB1*02:01:01 haplotype was most strongly associated with the risk of developing T1D, while DRB1*11:04-DQA1*05:05-DQB1*03:01 was the only haplotype that rendered protection against T1D. We also identified 66 amino acid positions across the HLA-DRB1, HLA-DQA1, and HLA-DQB1 genes that were significantly associated with T1D, including novel associations. These results validate and extend our knowledge on the associations between HLA genes and T1D in Kuwaiti children. The identified risk alleles, haplotypes, and amino acid variations may influence disease development through effects on HLA structure and function and may allow early intervention via population-based screening efforts.
    MeSH term(s) Humans ; Child ; Genes, MHC Class II ; Diabetes Mellitus, Type 1/genetics ; Alleles ; Haplotypes ; Amino Acids/genetics ; HLA-DRB1 Chains ; Kuwait/epidemiology
    Chemical Substances Amino Acids ; HLA-DRB1 Chains
    Language English
    Publishing date 2023-08-10
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2023.1238269
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Glucose intolerance induces anxiety-like behaviors independent of obesity and insulin resistance in a novel model of nutritional metabolic stress.

    Al-Onaizi, Mohammed / Braysh, Kawthar / Alkafeef, Selma S / Altarrah, Dana / Dannoon, Shorouk / Alasousi, Dalal / Adel, Hawraa / Al-Ajmi, Mariam / Kandari, Anwar / Najem, Rawan / Nizam, Rasheeba / Williams, Michayla R / John, Sumi / Thanaraj, Thangavel Alphonse / Ahmad, Rasheed / Al-Hussaini, Heba / Al-Mulla, Fahd / Alzaid, Fawaz

    Nutritional neuroscience

    2024  , Page(s) 1–19

    Abstract: Objectives: Type 2 diabetes (T2D) is a metabolic disease of major public health concern. It impacts peripheral tissues and the central nervous system, leading to systemic dysmetabolism and neurocognitive impairments, including memory deficits, anxiety, ... ...

    Abstract Objectives: Type 2 diabetes (T2D) is a metabolic disease of major public health concern. It impacts peripheral tissues and the central nervous system, leading to systemic dysmetabolism and neurocognitive impairments, including memory deficits, anxiety, and depression. The metabolic determinants of these neurocognitive impairments remain unidentified. Here, we sought to address this question by developing a proprietary (P-) high-fat diet (HFD), in which glucose intolerance precedes weight gain and insulin resistance.
    Methods: The P-HFD model was nutritionally characterized, and tested
    Results: P-HFD has 42% kcal from fat, high monounsaturated/polyunsaturated fatty acid ratio, and 10% (w/v) sucrose in drinking water. When administered, from the early stages of glucose intolerance alone, animals exhibit anxiety-like behavior, without depression nor recognition memory deficits. Long-term P-HFD feeding leads to weight gain, brain glucose hypometabolism as well as impaired recognition memory. Using an established genetic model of T2D (db/db) and of diet-induced obesity (60% kcal from fat) we show that additional insulin resistance and obesity are associated with depressive-like behaviors and recognition memory deficits.
    Discussion: Our findings demonstrate that glucose intolerance alone can elicit anxiety-like behavior. Through this study, we also provide a novel nutritional model (P-HFD) to characterize the discrete effects of glucose intolerance on cognition, behavior, and the physiology of metabolic disease.
    Language English
    Publishing date 2024-02-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 1447449-9
    ISSN 1476-8305 ; 1028-415X
    ISSN (online) 1476-8305
    ISSN 1028-415X
    DOI 10.1080/1028415X.2024.2310419
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Silencing ANGPTL8 reduces mouse preadipocyte differentiation and insulin signaling.

    Ghosh, Anindya / Leung, Yat Hei / Yu, Jeffrey / Sladek, Robert / Chénier, Isabelle / Oppong, Abel K / Peyot, Marie-Line / Madiraju, S R Murthy / Al-Khairi, Irina / Thanaraj, Thangavel Alphonse / Abubaker, Jehad / Al-Mulla, Fahd / Prentki, Marc / Abu-Farha, Mohamed

    Biochimica et biophysica acta. Molecular and cell biology of lipids

    2024  Volume 1869, Issue 3, Page(s) 159461

    Abstract: ANGPTL8, expressed mainly in the liver and adipose tissue, regulates the activity of lipoprotein lipase (LPL) present in the extracellular space and triglyceride (TG) metabolism through its interaction with ANGPTL3 and ANGPTL4. Whether intracellular ... ...

    Abstract ANGPTL8, expressed mainly in the liver and adipose tissue, regulates the activity of lipoprotein lipase (LPL) present in the extracellular space and triglyceride (TG) metabolism through its interaction with ANGPTL3 and ANGPTL4. Whether intracellular ANGPTL8 can also exert effects in tissues where it is expressed is uncertain. ANGPTL8 expression was low in preadipocytes and much increased during differentiation. To better understand the role of intracellular ANGPTL8 in adipocytes and assess whether it may play a role in adipocyte differentiation, we knocked down its expression in normal mouse subcutaneous preadipocytes. ANGPTL8 knockdown reduced adipocyte differentiation, cellular TG accumulation and also isoproterenol-stimulated lipolysis at day 7 of differentiation. RNA-Seq analysis of ANGPTL8 siRNA or control siRNA transfected SC preadipocytes on days 0, 2, 4 and 7 of differentiation showed that ANGPTL8 knockdown impeded the early (day 2) expression of adipogenic and insulin signaling genes, PPARγ, as well as genes related to extracellular matrix and NF-κB signaling. Insulin mediated Akt phosphorylation was reduced at an early stage during adipocyte differentiation. This study based on normal primary cells shows that ANGPTL8 has intracellular actions in addition to effects in the extracellular space, like modulating LPL activity. Preadipocyte ANGPTL8 expression modulates their differentiation possibly via changes in insulin signaling gene expression.
    MeSH term(s) Mice ; Animals ; Insulin ; Cell Differentiation/genetics ; Adipogenesis/genetics ; Signal Transduction ; RNA, Small Interfering ; Angiopoietin-Like Protein 8
    Chemical Substances Insulin ; RNA, Small Interfering ; ANGPTL8 protein, mouse ; Angiopoietin-Like Protein 8
    Language English
    Publishing date 2024-01-24
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 60-7
    ISSN 1879-2618 ; 1879-2596 ; 1879-260X ; 1872-8006 ; 1879-2642 ; 1879-2650 ; 0006-3002 ; 0005-2728 ; 0005-2736 ; 0304-4165 ; 0167-4838 ; 1388-1981 ; 0167-4889 ; 0167-4781 ; 0304-419X ; 1570-9639 ; 0925-4439 ; 1874-9399
    ISSN (online) 1879-2618 ; 1879-2596 ; 1879-260X ; 1872-8006 ; 1879-2642 ; 1879-2650
    ISSN 0006-3002 ; 0005-2728 ; 0005-2736 ; 0304-4165 ; 0167-4838 ; 1388-1981 ; 0167-4889 ; 0167-4781 ; 0304-419X ; 1570-9639 ; 0925-4439 ; 1874-9399
    DOI 10.1016/j.bbalip.2024.159461
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Global analysis of urinary extracellular vesicle small RNAs in autosomal dominant polycystic kidney disease.

    Ali, Hamad / Malik, Md Zubbair / Abu-Farha, Mohamed / Abubaker, Jehad / Cherian, Preethi / Nizam, Rasheeba / Jacob, Sindhu / Bahbahani, Yousif / Naim, Medhat / Ahmad, Sajjad / Al-Sayegh, Mohammad / Thanaraj, Thangavel Alphonse / Ong, Albert C M / Harris, Peter C / Al-Mulla, Fahd

    The journal of gene medicine

    2024  Volume 26, Issue 2, Page(s) e3674

    Abstract: Background: Autosomal dominant polycystic kidney disease (ADPKD) is the most prevalent monogenic renal disease progressing to end-stage renal disease. There is a pressing need for the identification of early ADPKD biomarkers to enable timely ... ...

    Abstract Background: Autosomal dominant polycystic kidney disease (ADPKD) is the most prevalent monogenic renal disease progressing to end-stage renal disease. There is a pressing need for the identification of early ADPKD biomarkers to enable timely intervention and the development of effective therapeutic approaches. Here, we profiled human urinary extracellular vesicles small RNAs by small RNA sequencing in patients with ADPKD and compared their differential expression considering healthy control individuals to identify dysregulated small RNAs and analyze downstream interaction to gain insight about molecular pathophysiology.
    Methods: This is a cross-sectional study where urine samples were collected from a total of 23 PKD1-ADPKD patients and 28 healthy individuals. Urinary extracellular vesicles were purified, and small RNA was isolated and sequenced. Differentially expressed Small RNA were identified and functional enrichment analysis of the critical miRNAs was performed to identify driver genes and affected pathways.
    Results: miR-320b, miR-320c, miR-146a-5p, miR-199b-3p, miR-671-5p, miR-1246, miR-8485, miR-3656, has_piR_020497, has_piR_020496 and has_piR_016271 were significantly upregulated in ADPKD patient urine extracellular vesicles and miRNA-29c was significantly downregulated. Five 'driver' target genes (FBRS, EDC3, FMNL3, CTNNBIP1 and KMT2A) were identified.
    Conclusions: The findings of the present study make significant contributions to the understanding of ADPKD pathogenesis and to the identification of novel biomarkers and potential drug targets aimed at slowing disease progression in ADPKD.
    MeSH term(s) Humans ; Polycystic Kidney, Autosomal Dominant/genetics ; Polycystic Kidney, Autosomal Dominant/metabolism ; Polycystic Kidney, Autosomal Dominant/pathology ; Cross-Sectional Studies ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Biomarkers ; Extracellular Vesicles/genetics ; Extracellular Vesicles/metabolism ; Formins
    Chemical Substances MicroRNAs ; Biomarkers ; FMNL3 protein, human ; Formins
    Language English
    Publishing date 2024-02-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 1458024-x
    ISSN 1521-2254 ; 1099-498X
    ISSN (online) 1521-2254
    ISSN 1099-498X
    DOI 10.1002/jgm.3674
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Neutral Sphingomyelinase 2 Inhibition Limits Hepatic Steatosis and Inflammation.

    Al-Rashed, Fatema / Arefanian, Hossein / Madhoun, Ashraf Al / Bahman, Fatemah / Sindhu, Sardar / AlSaeed, Halemah / Jacob, Texy / Thomas, Reeby / Al-Roub, Areej / Alzaid, Fawaz / Malik, M D Zubbair / Nizam, Rasheeba / Thanaraj, Thangavel Alphonse / Al-Mulla, Fahd / Hannun, Yusuf A / Ahmad, Rasheed

    Cells

    2024  Volume 13, Issue 5

    Abstract: Non-alcoholic fatty liver disease (NAFLD) is manifested by hepatic steatosis, insulin resistance, hepatocyte death, and systemic inflammation. Obesity induces steatosis and chronic inflammation in the liver. However, the precise mechanism underlying ... ...

    Abstract Non-alcoholic fatty liver disease (NAFLD) is manifested by hepatic steatosis, insulin resistance, hepatocyte death, and systemic inflammation. Obesity induces steatosis and chronic inflammation in the liver. However, the precise mechanism underlying hepatic steatosis in the setting of obesity remains unclear. Here, we report studies that address this question. After 14 weeks on a high-fat diet (HFD) with high sucrose, C57BL/6 mice revealed a phenotype of liver steatosis. Transcriptional profiling analysis of the liver tissues was performed using RNA sequencing (RNA-seq). Our RNA-seq data revealed 692 differentially expressed genes involved in processes of lipid metabolism, oxidative stress, immune responses, and cell proliferation. Notably, the gene encoding neutral sphingomyelinase,
    MeSH term(s) Mice ; Animals ; Non-alcoholic Fatty Liver Disease/metabolism ; Sphingomyelin Phosphodiesterase ; Mice, Inbred C57BL ; Inflammation ; Obesity/metabolism ; Esterases
    Chemical Substances Sphingomyelin Phosphodiesterase (EC 3.1.4.12) ; Esterases (EC 3.1.-)
    Language English
    Publishing date 2024-03-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2661518-6
    ISSN 2073-4409 ; 2073-4409
    ISSN (online) 2073-4409
    ISSN 2073-4409
    DOI 10.3390/cells13050463
    Database MEDical Literature Analysis and Retrieval System OnLINE

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