ABSTRACT
RATIONALE & OBJECTIVE: Chronic kidney disease (CKD) leads to lipid and metabolic abnormalities, but a comprehensive investigation of lipids, lipoprotein particles, and circulating metabolites associated with the risk of CKD has been lacking. We examined the associations of nuclear magnetic resonance (NMR)-based metabolomics data with CKD risk in the UK Biobank study. STUDY DESIGN: Observational cohort study. SETTING & PARTICIPANTS: A total of 91,532 participants in the UK Biobank Study without CKD and not receiving lipid-lowering therapy. EXPOSURE: Levels of metabolites including lipid concentration and composition within 14 lipoprotein subclasses, as well as other metabolic biomarkers were quantified via NMR spectroscopy. OUTCOME: Incident CKD identified using ICD codes in any primary care data, hospital admission records, or death register records. ANALYTICAL APPROACH: Cox proportional hazards regression models were used to estimate hazard ratios and 95% confidence intervals. RESULTS: We identified 2,269 CKD cases over a median follow-up period of 13.1 years via linkage with the electronic health records. After adjusting for covariates and correcting for multiple testing, 90 of 142 biomarkers were significantly associated with incident CKD. In general, higher concentrations of very-low-density lipoprotein (VLDL) particles were associated with a higher risk of CKD whereas higher concentrations of high-density lipoprotein (HDL) particles were associated with a lower risk of CKD. Higher concentrations of cholesterol, phospholipids, and total lipids within VLDL were associated with a higher risk of CKD, whereas within HDL they were associated with a lower risk of CKD. Further, higher triglyceride levels within all lipoprotein subclasses, including all HDL particles, were associated with greater risk of CKD. We also identified that several amino acids, fatty acids, and inflammatory biomarkers were associated with risk of CKD. LIMITATIONS: Potential underreporting of CKD cases because of case identification via electronic health records. CONCLUSIONS: Our findings highlight multiple known and novel pathways linking circulating metabolites to the risk of CKD. PLAIN-LANGUAGE SUMMARY: The relationship between individual lipoprotein particle subclasses and lipid-related traits and risk of chronic kidney disease (CKD) in general population is unclear. Using data from 91,532 participants in the UK Biobank, we evaluated the associations of metabolites measured using nuclear magnetic resonance testing with the risk of CKD. We identified that 90 out of 142 lipid biomarkers were significantly associated with incident CKD. We found that very-low-density lipoproteins, high-density lipoproteins, the lipid concentration and composition within these lipoproteins, triglycerides within all the lipoprotein subclasses, fatty acids, amino acids, and inflammation biomarkers were associated with CKD risk. These findings advance our knowledge about mechanistic pathways that may contribute to the development of CKD.
Subject(s)
Lipoproteins , Renal Insufficiency, Chronic , Humans , Lipoproteins/chemistry , Lipoproteins, HDL/chemistry , Magnetic Resonance Spectroscopy/methods , Lipoproteins, VLDL/chemistry , Triglycerides , Biomarkers , Renal Insufficiency, Chronic/epidemiologyABSTRACT
BACKGROUND: The relationship between circulating bile acids (BAs) and kidney function among patients with type 2 diabetes is unclear. We aimed to investigate the associations of circulating concentrations of BAs, particularly individual BA subtypes, with chronic kidney disease (CKD) in patients of newly diagnosed type 2 diabetes. METHODS: In this cross-sectional study, we included 1234 newly diagnosed type 2 diabetes who participated in an ongoing prospective study, the Dongfeng-Tongji cohort. Circulating primary and secondary unconjugated BAs and their taurine- or glycine-conjugates were measured using ultraperformance liquid chromatography-tandem mass spectrometry. CKD was defined as eGFR < 60 ml/min per 1.73 m2. Logistic regression model was used to compute odds ratio (OR) and 95% confidence interval (CI). RESULTS: After adjusting for multiple testing, higher levels of total primary BAs (OR per standard deviation [SD] increment: 0.78; 95% CI: 0.65-0.92), cholate (OR per SD: 0.78; 95% CI: 0.66-0.92), chenodeoxycholate (OR per SD: 0.81; 95% CI: 0.69-0.96), glycocholate (OR per SD: 0.81; 95% CI: 0.68-0.96), and glycochenodeoxycholate (OR per SD: 0.82; 95% CI: 0.69-0.97) were associated with a lower likelihood of having CKD in patients with newly diagnosed type 2 diabetes. No significant relationships between secondary BAs and odds of CKD were observed. CONCLUSIONS: Our findings showed that higher concentrations of circulating unconjugated primary BAs and their glycine-conjugates, but not taurine-conjugates or secondary BAs, were associated with lower odds of having CKD in patients with type 2 diabetes.
Subject(s)
Diabetes Mellitus, Type 2 , Renal Insufficiency, Chronic , Humans , Bile Acids and Salts , Cross-Sectional Studies , Prospective Studies , Diabetes Mellitus, Type 2/epidemiology , Taurine/chemistry , Glycine , Renal Insufficiency, Chronic/epidemiologyABSTRACT
Multiple organs and tissues coordinate to respond to dietary and environmental challenges. It is interorgan crosstalk that contributes to systemic metabolic homeostasis. The liver and brain, as key metabolic organs, have their unique dialogue to transmit metabolic messages. The interconnected pathogenesis of liver and brain is implicated in numerous metabolic and neurodegenerative disorders. Recent insights have positioned the liver not only as a central metabolic hub but also as an endocrine organ, capable of secreting hepatokines that transmit metabolic signals throughout the body via the bloodstream. Metabolites from the liver or gut microbiota also facilitate a complex dialogue between liver and brain. In parallel to humoral factors, the neural pathways, particularly the hypothalamic nuclei and autonomic nervous system, are pivotal in modulating the bilateral metabolic interplay between the cerebral and hepatic compartments. The term "liver-brain axis" vividly portrays this interaction. At the end of this review, we summarize cutting-edge technical advancements that have enabled the observation and manipulation of these signals, including genetic engineering, molecular tracing, and delivery technologies. These innovations are paving the way for a deeper understanding of the liver-brain axis and its role in metabolic homeostasis.
Subject(s)
Brain , Liver , Humans , Brain/metabolism , Liver/metabolism , Animals , Homeostasis , Gastrointestinal MicrobiomeABSTRACT
The chromatin remodeler CHD8 represents a high-confidence risk factor in autism, a multistage progressive neurologic disorder, however the underlying stage-specific functions remain elusive. In this study, by analyzing Chd8 conditional knock-out mice (male and female), we find that CHD8 controls cortical neural stem/progenitor cell (NSC) proliferation and survival in a stage-dependent manner. Strikingly, inducible genetic deletion reveals that CHD8 is required for the production and fitness of transit-amplifying intermediate progenitors (IPCs) essential for upper-layer neuron expansion in the embryonic cortex. p53 loss of function partially rescues apoptosis and neurogenesis defects in the Chd8-deficient brain. Further, transcriptomic and epigenomic profiling indicates that CHD8 regulates the chromatin accessibility landscape to activate neurogenesis-promoting factors including TBR2, a key regulator of IPC neurogenesis, while repressing DNA damage- and p53-induced apoptotic programs. In the adult brain, CHD8 depletion impairs forebrain neurogenesis by impeding IPC differentiation from NSCs in both subventricular and subgranular zones; however, unlike in embryos, it does not affect NSC proliferation and survival. Treatment with an antidepressant approved by the Federal Drug Administration (FDA), fluoxetine, partially restores adult hippocampal neurogenesis in Chd8-ablated mice. Together, our multistage functional studies identify temporally specific roles for CHD8 in developmental and adult neurogenesis, pointing to a potential strategy to enhance neurogenesis in the CHD8-deficient brain.SIGNIFICANCE STATEMENT The role of the high-confidence autism gene CHD8 in neurogenesis remains incompletely understood. Here, we identify a stage-specific function of CHD8 in development of NSCs in developing and adult brains by conserved, yet spatiotemporally distinct, mechanisms. In embryonic cortex, CHD8 is critical for the proliferation, survival, and differentiation of both NSC and IPCs during cortical neurogenesis. In adult brain, CHD8 is required for IPC generation but not the proliferation and survival of adult NSCs. Treatment with FDA-approved antidepressant fluoxetine partially rescues the adult neurogenesis defects in CHD8 mutants. Thus, our findings help resolve CHD8 functions throughout life during embryonic and adult neurogenesis and point to a potential avenue to promote neurogenesis in CHD8 deficiency.
Subject(s)
Autistic Disorder , Chromatin , DNA-Binding Proteins , Neurogenesis , Animals , Female , Male , Mice , DNA-Binding Proteins/genetics , DNA-Binding Proteins/metabolism , Fluoxetine , Hippocampus/metabolism , Mice, Knockout , Neurogenesis/physiology , Tumor Suppressor Protein p53 , ProsencephalonABSTRACT
Idiopathic membranous nephropathy (IMN) belongs to an important pathogenic category of adult nephrotic syndrome. PLA2R1 exposure is critical for triggering the pathogenesis of PLA2R1-related IMN. However, the pathogenesis of IMN and the molecular mechanism of treatment remain to be further clarified. The expression changes of activated protein C (APC) and PLA2R1 in IMN patients were quantified by qPCR. A zymosan activated serum (ZAS)-induced IMN podocyte model was established in vitro. Podocyte apoptosis was detected via flow cytometry and caspase3 assay. The expression levels of APC, p-ERK1/2, ERK1/2, YB-1 and PLA2R1 were detected by western blotting. The regulation relationship between YB-1 and PLA2R1 was detected by dual fluorescent reporter system. In IMN patients, the expression level of PLA2R1 was increased, whereas the expression level of APC was decreased. When APC was added to podocytes in vitro, the phosphorylation of ERK1/2 was increased, which could promote the translocation of YB-1 to the nucleus that reduces the expression of PLA2R1 at the cellular transcriptional level, thereby inhibiting podocyte apoptosis. Our study is the first to report that APC can improve membranous nephropathy by affecting podocyte apoptosis through the ERK1/2/YB-1/PLA2R1 axis. This study will provide a new targeted therapy for IMN patients with high PLA2R1 expression.
Subject(s)
Glomerulonephritis, Membranous , Podocytes , Adult , Humans , Apoptosis , Glomerulonephritis, Membranous/pathology , MAP Kinase Signaling System , Podocytes/pathology , Protein C , Receptors, Phospholipase A2ABSTRACT
BACKGROUND: Myocardial ischemia-reperfusion injury (MIRI) is one of the main reasons for poor prognosis in patients with ischemic cardiomyopathy (ICM). To date, the mechanism remains unknown. As members of the silent information regulator 2 (SIR2) family, both SIRT1 and SIRT3 have been shown to play critical roles in protecting cardiomyocytes against MIRI, but their specific protective mechanism, their interact between the two and their relationship with ferroptosis are still unclear. Hence, in this study, we investigated the interact and specific mechanism of SIRT1 and SIRT3 in protecting cardiomyocytes against MIRI, as well as their association with ferroptosis. METHODS: Bioinformatics analysis methods were used to explore the expression of SIRT1 and SIRT3 during MIRI, and then a cell hypoxia/reoxygenation injury model was constructed to verify the results. Then, Pearson correlation analysis was further used to explore the relationship between SIRT1 and SIRT3, whose roles in the regulation of ferroptosis were also analysed by gene knock down, Western Blotting and flow cytometry. Several biomarkers, such as Fe2+ concentration, lipid peroxidation marker MDA and mitochondrial membrane potential (MMP), were used to evaluate changes in ferroptosis. RESULTS: The expression of SIRT1 and SIRT3 was abnormal during MIRI, and SIRT1 was significantly negatively correlated with SIRT3 in the SIRT1-SIRT3 axis. Further analysis revealed that the SIRT1-SIRT3 axis was closely correlated with ferroptosis, and its silencing effectively increase the incidence of ferroptosis. Furthermore, SIRT1-SIRT3 axis silencing was accompanied by changes in PINK1, Parkin, P62/SQSTM1 and LC3 expression. PINK1 silencing significantly increased the incidence of ferroptosis, while resveratrol (Res) and/or honokiol (HKL) effectively reversed the outcome. CONCLUSION: Abnormalities in the SIRT1-SIRT3 axis promote MIRI through ferroptosis caused by silencing the PINK1/Parkin signaling pathway.
Subject(s)
Ferroptosis , Myocardial Reperfusion Injury , Sirtuin 3 , Humans , Myocardial Reperfusion Injury/genetics , Sirtuin 3/genetics , Sirtuin 3/metabolism , Sirtuin 1/genetics , Sirtuin 1/metabolism , Ferroptosis/genetics , Signal Transduction , Protein Kinases/metabolism , Ubiquitin-Protein Ligases/genetics , Ubiquitin-Protein Ligases/metabolismABSTRACT
We report the development of a spectral knowledgebase named ADAP-KDB for tracking and prioritizing unknown gas chromatography-mass spectrometry (GC-MS) spectra in the NIH's Metabolomics Data Repository-a national and international repository for metabolomics data. ADAP-KDB consists of two parts. One part is a computational workflow that preprocesses raw mass spectrometry data and derives consensus mass spectra. The other part is a web portal for users to browse the consensus spectra and match query spectra against them. For each consensus spectrum, the Gini-Simpson diversity index and the p-value from χ2 goodness-of-fit test are calculated to measure its statistical significance, which enables prioritization of unknown mass spectra for subsequent costly compound identification.
Subject(s)
Metabolomics , Software , Gas Chromatography-Mass Spectrometry , Knowledge Bases , Mass SpectrometryABSTRACT
Caloric restriction (CR) followed by refeeding, a phenomenon known as catch-up growth (CUG), results in excessive lipid deposition and insulin resistance in skeletal muscle, but the underlying mechanisms remain elusive. Recent reports have suggested that vascular endothelial growth factor B (VEGF-B) controls muscle lipid accumulation by regulating endothelial fatty acid transport. Here, we found continuous activation of VEGF-B signaling and increased lipid uptake in skeletal muscle from CR to refeeding, as well as increased lipid deposition and impaired insulin sensitivity after refeeding in the skeletal muscle of CUG rodents. Inhibiting VEGF-B signaling reduced fatty acid uptake in and transport across endothelial cells. Knockdown of Vegfb in the tibialis anterior (TA) muscle of CUG mice significantly attenuated muscle lipid accumulation and ameliorated muscle insulin sensitivity by decreasing lipid uptake. Furthermore, we showed that aberrant histone methylation (H3K9me1) and acetylation (H3K14ac and H3K18ac) at the Vegfb promoter might be the main cause of persistent VEGF-B upregulation in skeletal muscle during CUG. Modifying these aberrant loci using their related enzymes [PHD finger protein 2 (PHF2) or E1A binding protein p300 (p300)] could regulate VEGF-B expression in vitro. Collectively, our findings indicate that VEGF-B can promote transendothelial lipid transport and lead to lipid overaccumulation and insulin resistance in skeletal muscle during CUG, which might be mediated by histone methylation and acetylation.
Subject(s)
Endothelial Cells/metabolism , Fatty Acids/metabolism , Growth/physiology , Histones/metabolism , Muscle, Skeletal/metabolism , Protein Processing, Post-Translational/genetics , Vascular Endothelial Growth Factor B/physiology , Animals , Caloric Restriction/adverse effects , Gene Knockdown Techniques , Growth/genetics , Histone Code/genetics , Lipid Metabolism/genetics , Mice , Mice, Transgenic , Vascular Endothelial Growth Factor B/geneticsSubject(s)
Cardiometabolic Risk Factors , Non-alcoholic Fatty Liver Disease , Humans , Non-alcoholic Fatty Liver Disease/epidemiology , Non-alcoholic Fatty Liver Disease/complications , Male , Female , Adult , Age of Onset , Risk Factors , Metabolic Syndrome/epidemiology , Metabolic Syndrome/complications , Young Adult , Cardiovascular Diseases/etiology , Cardiovascular Diseases/epidemiology , AdolescentABSTRACT
BACKGROUND: Aberrant expression of cyclin-dependent protein kinases (CDK) is a hallmark of cancer. CDK11 plays a crucial role in cancer cell growth and proliferation. However, the molecular mechanisms of CDK11 and CDK11 transcriptionally regulated genes are largely unknown. METHODS: In this study, we performed a global transcriptional analysis using gene array technology to investigate the transcriptional role of CDK11 in osteosarcoma. The promoter luciferase assay, chromatin immunoprecipitation assay, and Gel Shift assay were used to identify direct transcriptional targets of CDK11. Clinical relevance and function of core-binding factor subunit beta (CBFß) were further accessed in osteosarcoma. RESULTS: We identified a transcriptional role of protein-DNA interaction for CDK11p110, but not CDK11p58, in the regulation of CBFß expression in osteosarcoma cells. The CBFß promoter luciferase assay, chromatin immunoprecipitation assay, and Gel Shift assay confirmed that CBFß is a direct transcriptional target of CDK11. High expression of CBFß is associated with poor outcome in osteosarcoma patients. Expression of CBFß contributes to the proliferation and metastatic behavior of osteosarcoma cells. CONCLUSIONS: These data establish CBFß as a mediator of CDK11p110 dependent oncogenesis and suggest that targeting the CDK11- CBFß pathway may be a promising therapeutic strategy for osteosarcoma treatment.
Subject(s)
Core Binding Factor beta Subunit/genetics , Cyclin-Dependent Kinases/metabolism , Osteosarcoma/pathology , Transcriptional Activation , Cell Line, Tumor , Cell Movement , Cell Proliferation , Gene Expression Regulation, Neoplastic , Humans , Promoter Regions, Genetic/genetics , Protein TransportABSTRACT
Following publication of the original article [1], it was reported that Figs. 4 and 5 were not updated during the production process.
ABSTRACT
BACKGROUND To provide a better understanding of anaplastic thyroid carcinoma (ATC) at the molecular level, this study aimed to identify the genes and key pathways associated with ATC by using integrated bioinformatics analysis. MATERIAL AND METHODS Based on the microarray data GSE9115, GSE65144, and GSE53072 derived from the Gene Expression Omnibus, the differentially expressed genes (DEGs) between ATC samples and normal controls were identified. With DEGs, we performed a series of functional enrichment analyses. Then, a protein-protein interaction (PPI) network was constructed and visualized, with which the hub gene nodes were screened out. Finally, modules analysis for the PPI network was performed to further investigate the potential relationships between DEGs and ATC. RESULTS A total of 537 common DEGs were screened out from all 3 datasets, among which 247 genes were upregulated and 275 genes were downregulated. GO analysis indicated that upregulated DEGs were mainly involved in cell division and mitotic nuclear division and the downregulated DEGs were significantly enriched in ventricular cardiac muscle cell action potential. KEGG pathway analysis showed that the upregulated DEGs were mainly enriched in cell cycle and ECM-receptor interaction and the downregulated DEGs were mainly enriched in thyroid hormone synthesis, insulin resistance, and pathways in cancer. The top 10 hub genes in the constructed PPI network were CDK1, CCNB1, TOP2A, AURKB, CCNA2, BUB1, AURKA, CDC20, MAD2L1, and BUB1B. The modules analysis showed that genes in the top 2 significant modules of PPI network were mainly associated with mitotic cell cycle and positive regulation of mitosis, respectively. CONCLUSIONS We identified a series of key genes along with the pathways that were most closely related with ATC initiation and progression. Our results provide a more detailed molecular mechanism for the development of ATC, shedding light on the potential biomarkers and therapeutic targets.
Subject(s)
Computational Biology/methods , Gene Expression Profiling/methods , Thyroid Carcinoma, Anaplastic/genetics , Biomarkers, Tumor/genetics , Databases, Genetic , Gene Expression Regulation, Neoplastic/genetics , Gene Ontology , Gene Regulatory Networks/genetics , Humans , Protein Interaction Mapping/methods , Signal Transduction/genetics , Transcriptome/geneticsABSTRACT
Uncontrolled proliferation and cell growth is the hallmark of many different malignant diseases, including sarcomas. Cyclin-dependent kinases (CDKs) are members of the serine/threonine protein kinase family and play crucial roles in tumor cell proliferation and growth by controlling cell cycle, transcription, and RNA splicing. In addition, several CDKs influence multiple targets and phosphorylate transcription factors involved in tumorigenesis. There are many examples linking dysregulated activation and expression of CDKs to tumors, and targeting CDKs in tumor cells has become a promising therapeutic strategy. More recently, the Food and Drug Administration (FDA) has approved the CDK4/6 inhibitor palbociclib for treating metastatic breast cancer. In sarcomas, high levels of CDK mRNA and protein expression have been found in most human sarcoma cells and patient tissues. Many studies have demonstrated consistent results in which inhibition of different CDKs decrease sarcoma cell growth and induce apoptosis. Therefore, CDKs comprise an attractive set of targets for novel anti-sarcoma drug development. In this review, we discuss the roles of different members of CDKs in various sarcomas and provide a pre-clinical overview of promising therapeutic potentials of targeting CDKs with a special emphasis on sarcoma.
Subject(s)
Antineoplastic Agents/pharmacology , Cyclin-Dependent Kinases/antagonists & inhibitors , Cyclin-Dependent Kinases/metabolism , Protein Kinase Inhibitors/pharmacology , Sarcoma/metabolism , Animals , Antineoplastic Agents/therapeutic use , Cyclin-Dependent Kinases/genetics , Gene Expression Regulation, Neoplastic/drug effects , Humans , Molecular Targeted Therapy , Multigene Family , Phosphorylation , Protein Binding , Protein Kinase Inhibitors/therapeutic use , Sarcoma/drug therapy , Sarcoma/genetics , Sarcoma/immunology , Signal Transduction/drug effectsABSTRACT
OBJECTIVES: To investigate the associations between sex hormones and gout. METHODS: A total of 448,836 individuals free of gout at baseline were included from the UK Biobank. Cox regression models were used to estimate hazard ratios (HRs) for gout. Besides, we investigated the causal relationship between bioavailable testosterone (BAT) and gout using mendelian randomization (MR). RESULTS: There were differential effects in different testosterone active states in gout. One-unit higher log-transformed total testosterone (TT) was associated with a 52 % [95 % CI, 0.39-0.58] lower risk of gout in males. In contrast, free testosterone (FT) and BAT were associated with a 74 % [95 % CI, 1.38-2.20] and a 78 % [95 % CI, 1.41-2.25] higher risk of gout in males respectively. For MR, the weighted median [OR, 1.70; 95 % CI, 1.14-2.56;] and inverse variance-weighted [OR, 1.25; 95 % CI, 0.96-1.62; P = 0.09] method revealed significant and approximately significant positive effect of genetic liability to BAT levels on the risk of gout respectively. CONCLUSIONS: Sex hormones were potentially associated with gout. Notably, we were the first to explore different testosterone states on gout and found that FT and BAT may increase the risk of gout in males, which is opposite to TT. And the former are active states of androgens, may be more accurately reflect the association between androgens and gout.
Subject(s)
Biological Specimen Banks , Gonadal Steroid Hormones , Gout , Humans , Male , Gout/epidemiology , United Kingdom/epidemiology , Middle Aged , Female , Cohort Studies , Gonadal Steroid Hormones/blood , Gonadal Steroid Hormones/metabolism , Testosterone/blood , Mendelian Randomization Analysis , Aged , Adult , UK BiobankABSTRACT
Hereditary fructose intolerance (HFI) is an autosomal recessive metabolic disease associated with a mutation in the aldolase B gene on chromosome 9q31. In this study, we generated a human-induced pluripotent stem cell (hiPSC) line, FDCHi015-A, from peripheral blood mononuclear cells (PBMCs) of a patient carrying the compound heterozygous mutations c.360_364delCAAA and c.1013C > T in exons 4 and 9 of the ALDOB gene, respectively. The iPSCs with the confirmed patient-specific mutation demonstrate pluripotency markers expression, a normal karyotype, and the ability to differentiate into derivatives of three germ layers.
Subject(s)
Induced Pluripotent Stem Cells , Leukocytes, Mononuclear , Mutation , Humans , Induced Pluripotent Stem Cells/metabolism , Leukocytes, Mononuclear/metabolism , Leukocytes, Mononuclear/cytology , Fructose-Bisphosphate Aldolase/genetics , Fructose-Bisphosphate Aldolase/metabolism , Cell Line , Cell Differentiation , Male , KaryotypeABSTRACT
BACKGROUND: Asthma is widely recognized as an inflammatory disorder. In the context of this inflammatory microenvironment, the involvement of hypoxia and its impact on related pathways have drawn considerable attention. However, the exact role of hypoxia, a prevalent environmental factor, in the development and progression of asthma remains poorly understood. METHODS: Mice were treated with house dust mite (HDM) extracts for 23 days to induce asthma. Mice were divided into room air (RA) group and intermittent hypoxic (IH) group by exposing to different conditions and IH preconditioning (IHP) were underwent to the above groups before the hypoxic regimen. Airway inflammation in mice was evaluated by airway hyperresponsiveness, excessive mucus secretion, and recruitment of inflammatory cells. Immunohistochemistry was employed to quantify the expression levels of NF-κB. Subsequently, the dose of allergen was modified to investigate whether the impact of hypoxia on asthma is affected by different doses of allergens. RESULT: Compared to the RA and IH groups, HDM-treated mice in the IHP group exhibited aggravated inflammatory cell infiltration and airway hyperresponsiveness (pï¼.05). Moreover, there was an increased release of inflammatory mediators and higher expression levels of NF-κB (pï¼.05). Importantly, the impact ia on asthma was found to be influenced by high dose of allergen (pï¼.05). CONCLUSION: IHP treatment potentially exacerbates HDM-induced airway inflammation in asthma, with the involvement of NF-κB, particularly under high-dose allergen stimulation.
Subject(s)
Asthma , Respiratory Hypersensitivity , Mice , Animals , Pyroglyphidae , NF-kappa B , Asthma/drug therapy , Dermatophagoides pteronyssinus , Allergens/therapeutic use , Inflammation , HypoxiaABSTRACT
Neurodevelopmental disorder with or without autistic features and/or structural brain abnormalities (NEDASB) is a rare autosomal dominant disorder caused by a heterozygous mutation in the NOVA2 gene on chromosome 19q13. Here, we describe the generation and characterization of an iPSC line derived from the peripheral blood of a 7-year-old patient carrying a novel heterozygous mutation in NOVA2 (c.625 del). The iPSCs with the confirmed patient-specific mutation were demonstrated by pluripotency markers, a normal karyotype, and the ability to differentiate into three germ layers. This NOVA2-mutant iPSC line could facilitate disease modeling and therapy development studies for NEDASB.
Subject(s)
Induced Pluripotent Stem Cells , Humans , Child , Induced Pluripotent Stem Cells/metabolism , Cell Differentiation/genetics , Karyotype , Mutation , Germ Layers , Leukocytes, Mononuclear/metabolism , Neuro-Oncological Ventral AntigenABSTRACT
BACKGROUND: Clinical trials and Mendelian randomization (MR) studies reported null effects of high-density lipoprotein cholesterol (HDL-C) on risk of cardiovascular disease (CVD), which might have overlooked a nonlinear causal association. We aimed to investigate the dose-response relationship between circulating HDL-C concentrations and CVD in observational and MR frameworks. METHODS: We included 348,636 participants (52,919 CVD cases and 295,717 non-cases) of European ancestry with genetic data from the UK Biobank (UKB) and acquired genome-wide association summary data for HDL-C of Europeans from the Global Lipids Genetics Consortium (GLGC). Observational analyses were conducted in the UKB. Stratified MR analyses were conducted combing genetic data for CVD from UKB and lipids from GLGC. RESULTS: Observational analyses showed L-shaped associations of HDL-C with CVD, with no further risk reduction when HDL-C levels exceeded 70 mg/dL. Multivariable MR analyses across entire distribution of HDL-C found no association of HDL-C with CVD, after control of the pleiotropic effect on other lipids and unmeasured pleiotropism. However, in stratified MR analyses, significant inverse associations of HDL-C with CVD were observed in the stratum of participants with HDL-C ≤ 50 mg/dL (odds ratio per unit increase, 0.86; 95 % confidence interval, 0.79-0.94), while null associations were observed in any stratum above 50 mg/dL. CONCLUSIONS: Our data suggest a potentially causal inverse association of HDL-C at low levels with CVD risks. These findings advance our knowledge about the role of HDL as a potential target in CVD prevention and therapy.
Subject(s)
Cardiovascular Diseases , Mendelian Randomization Analysis , Humans , Cholesterol, HDL , Triglycerides , Genome-Wide Association Study , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/genetics , Cholesterol, LDL , Polymorphism, Single Nucleotide , Risk FactorsABSTRACT
SCOPE: Among patients with diabetes, who have modified nutritional behavior and a higher risk of cardiovascular disease (CVD), the influence of ultraprocessed foods (UPFs) on CVD remains unknown. The study aims to evaluate the association between UPF intake and the risk of CVD among individuals with type 2 diabetes (T2D) and further examine the potential biological pathways linking the association. METHODS AND RESULTS: This study includes 5405 participants with T2D who provided at least one 24-h dietary recall from the UK Biobank study. In the fully adjusted models, a 10% increase in the proportion of UPFs is associated with higher hazards of overall CVD (hazard ratio [HR]: 1.10; 95% confidence interval [CI]: 1.04, 1.15), coronary heart disease (HR: 1.10; 95% CI: 1.04, 1.16), heart failure (HR: 1.14; 95% CI: 1.05, 1.25), but not stroke (HR: 1.01; 95% CI: 0.90, 1.12). Cystatin C, high-density lipoprotein cholesterol (HDL-C), apolipoprotein A, C-reactive protein, and body mass index collectively explain 26.9% (12.8%, 48.5%) of the association between UPF intake and the risk of overall CVD. CONCLUSION: Higher UPF intakes are associated with increased hazards of CVD among individuals with T2D, and the association is partly mediated through worsening biomarkers of renal function, lipid metabolism, inflammation, and body weight.
Subject(s)
Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Food, Processed , Adult , Aged , Female , Humans , Male , Middle Aged , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/etiology , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/complications , Diet , Food Handling , Risk Factors , UK Biobank , United Kingdom/epidemiologyABSTRACT
BACKGROUND: Secondary bile acids (SBAs), the products of bacterial metabolism, are ligands of the nuclear farnesoid X receptor (FXR) and have been implicated in cardiovascular health. Diet can modulate gut microbiota composition and bile acid metabolism. OBJECTIVES: We aimed to examine the associations of circulating SBAs and their receptor polymorphisms with the risk of incident cardiovascular disease (CVD) among people with type 2 diabetes (T2D). METHODS: A total of 1234 participants with newly diagnosed T2D without CVD or cancer were included from the Dongfeng-Tongji Cohort study in China. Circulating SBAs and their conjugated forms were quantified using liquid chromatography-tandem mass spectrometry. Fifteen single-nucleotide polymorphisms in genes encoding bile acid receptors were genotyped. RESULTS: During a median follow-up of 5.7 y, 259 incident CVD cases were documented. After multivariable adjustment, higher levels of unconjugated SBAs [sum of deoxycholic acid (DCA), lithocholic acid, and ursodeoxycholic acid] and DCA were significantly associated with a higher risk of CVD among people with T2D, with hazard ratios (HRs) and 95% confidence intervals (CIs) of 1.62 (1.12, 2.35) and 1.46 (1.04, 2.06) comparing the extreme quartile of SBAs and DCA, respectively. Restricted cubic spline regression suggested a linear relationship of unconjugated SBAs and DCA with an elevated risk of CVD, and per standard deviation, an increment in natural log-transformed unconjugated SBAs and DCA was associated with an 18% (95% CI: 4%, 34%) and 16% (95% CI: 2%, 33%) higher risk of CVD, respectively. Moreover, genetic variants in FXR (rs56163822 TT compared with GG, and rs17030295 TT compared with CC) were significantly associated with a 121%-129% higher risk of CVD among individuals with T2D. CONCLUSIONS: A higher proportion of unconjugated SBAs, especially DCA, is linearly associated with a higher risk of CVD among people with newly diagnosed T2D. Our findings support the potential role of gut microbiota-derived SBAs in cardiovascular health in individuals with T2D.