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In recent years, the number of people suffering from lifestyle diseases such as hyperlipidemia and fatty liver disease has increased rapidly due to westernization of dietary patterns. Among fatty liver diseases, those that are not caused by alcohol are referred to as nonalcoholic fatty liver disease (NAFLD). Some NAFLD can progress to nonalcoholic steatohepatitis (NASH), and further progression of NAFLD can lead to cirrhosis and liver cancer. Although numerous studies have demonstrated the efficacy of dietary polyunsaturated fatty acids (PUFAs), particularly omega-3 PUFAs eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), against NAFLD, the detailed mechanisms by which these PUFAs exert their protective effects on the pathogenesis and progression of NAFLD are not well understood. Recent studies using knockout mouse models and genome-wide association studies have suggested a potential role for the enzymes responsible for the biosynthesis of PUFAs (FADS1, FADS2, ELOVL2, and ELOVL5) and their incorporation into phospholipids (LPCAT3/MBOAT5/LPLAT12 and LPIAT1/MBOAT7/LPLAT11) in the development of NAFLD. In this review, we summarize recent findings on the association of NAFLD and PUFAs with a focus on PUFA biosynthetic and metabolic enzymes to discuss the potential role of PUFAs in the prevention of NAFLD. Show less

Omega-3 polyunsaturated fatty acids (PUFAs) are potential targets for the treatment of skin diseases due to their anti-inflammatory and immunomodulatory effects. By leveraging a genetic approach known as Mendelian randomization (MR), we sought to determine the causal impact of PUFAs on the likelihood of developing skin diseases among individuals of European ancestry. We integrated GWAS data from the CHARGE consortium and UK Biobank to identify genetic instruments for omega-3 PUFAs and desaturase activity, using two-sample MR to assess their associations with six skin diseases. Elevated levels of omega-3 fatty acids were found to substantially lower the probability of experiencing atopic dermatitis (0.92, [0.85,0.98]), while increased DPA levels correlated with a substantial increase in the probability of squamous cell carcinoma occurrence (2.25, [1.29,3.92]). Increased DHA levels were also associated with a reduced risk of atopic dermatitis (0.90, [0.84,0.96]) but increased the risk of solar dermatitis (1.38, [1.09,1.73]). In addition, tissue-type specific MR analysis revealed that elevated FADS1 expression in fibroblasts significantly inhibited atopic dermatitis development (β = -0.181, [-0.276,-0.0853]), while elevated FADS2 expression in non-sun-exposed skin tissues was associated with a reduced risk of squamous cell carcinoma (β = -0.562, [-0.833,-0.029]). Conversely, heightened FADS2 expression was strongly linked to a greater likelihood of developing atopic dermatitis in both sun-exposed and sun-protected skin areas (β = 0.107, [0.0348,0.179]; β = 0.192, [0.114,0.0270], respectively). This study reveals the causal role of omega-3 PUFAs and FADS expression in specific tissues and blood in skin diseases. These findings underscore the potential of PUFA biosynthesis pathways as therapeutic targets for skin disease interventions. Show less

Gastrointestinal (GI) cancers exhibit aberrant lipid metabolism, yet the causal mechanisms remain elusive. Here, we integrated Mendelian randomization (MR) and multi-omics data to dissect metabolic drivers of 20 GI diseases. Focusing on colorectal (CC) and esophageal cancer (EC), we identified five metabolites (e.g., 1,2-di-palmitoyl-sn-glycero-3-phosphocholine) and arachidonic acid ethyl ester as causal drivers. Summary-data-based MR and colocalization analysis (PP.H4 > 0.75) revealed FADS1 as a master regulator of these metabolites, with genetic variants exhibiting tissue-specific lipidomic effects. Functional validation using FADS1-knockout cell lines and mouse models demonstrated that FADS1 inhibition suppresses tumor cell proliferation, migration, and invasion while promoting apoptosis. In vivo, FADS1 deletion reduced chemically induced CC/EC tumor burden by 62-75%, accompanied by decreased Ki-67/MMP-9 expression and inflammatory infiltration. Mechanistically, FADS1 ablation disrupted lipid metabolism (reduced linoleic acid and arachidonic acid) and attenuated PI3K/AKT and MAPK signaling. Multi-omics integration further corroborated FADS1-mediated epigenetic regulation (e.g., mQTL-driven DNA methylation). This study establishes FADS1 as a pivotal orchestrator of GI carcinogenesis via metabolic reprogramming and signaling dysregulation, offering a compelling therapeutic target for precision oncology in CC and EC. Regulatory mechanisms of FADS1 in CC and EC. Show less

Fish oil supplements (FOS) are known to alter circulating levels of polyunsaturated fatty acids (PUFAs) but in a heterogeneous manner across individuals. These varied responses may result from unidentified gene-FOS interactions. To identify genetic factors that interact with FOS to alter the circulating levels of PUFAs, we performed a multi-level genome-wide interaction study (GWIS) of FOS on 14 plasma measurements in 200,060 unrelated European-ancestry individuals from the UK Biobank. From our single-variant tests, we identified genome-wide significant interacting SNPs (p < 5 × 10 Show less

The intrinsic heterogeneity and invasiveness of diffuse gliomas complicate accurate prognosis. Existing approaches are largely constrained by subtype specificity or limited analytical dimensions. To address this gap, a multi- dimension-based prognostic framework encompassing the full glioma spectrum was developed, accompanied by an analysis of the associated immune microenvironment. A total of 3,323 glioma samples from the SEER (n = 2181), CGGA (n = 807), and TCGA (n = 335) datasets were integrated. Differentially expressed genes were screened using the limma package, and a Lasso-Cox-based prognostic signature (Glioma-GDPM) was established. Clinical variables such as age, grade, and IDH mutation status were harmonized through propensity score matching to construct a multi-omics prognostic model (Glioma-GCDPM). GSEA, CIBERSORT-based immune infiltration analysis, and TIDE scoring were used to investigate the biological characteristics of different risk subgroups. Eleven key prognostic genes (such as PRAMEF2 and FADS1) and four clinical factors (age, tumor grade, IDH mutation, and 1p/19q codeletion) were identified. Glioma-GCDPM demonstrated favorable predictive ability in both the internal test cohort (AUC 0.81-0.86) and external validation sets (AUC 0.59-0.83). High-risk tumors exhibited greater invasiveness, with significant enrichment in cell cycle and proliferation-associated pathways. Additionally, a suppressed immune microenvironment was observed, reflected by elevated M2 macrophage infiltration and increased T cell dysfunction scores. The multi-omics model established in this study enables precise stratification of prognostic risk in diffuse glioma patients and reveals immunosuppressive features in high-risk individuals, providing a new basis for personalized treatment strategies. Show less

Imbalance in fatty acid (FA) metabolism is a critical factor in the development of type 2 diabetes (T2D). This study examined fatty acid composition and desaturase activities in the liver and spinal cord of male Zucker diabetic fatty (ZDF) rats, a genetic model of T2D. Heterozygous lean ZDF fa/+ animals served as controls, while homozygous obese ZDF fa/fa animals represented the diabetic group. FA profiles were determined by gas chromatography, and the activities of Δ5-desaturase (FADS1), Δ6-desaturase (FADS2), Δ9-desaturase (SCD1), and elongase of very long-chain fatty acids (ELOVL) were estimated. T2D rats displayed significantly elevated levels of monounsaturated fatty acids (MUFAs) and increased SCD1 activity in both the liver and spinal cord. In contrast, polyunsaturated fatty acids (PUFAs), particularly arachidonic acid (AA, C20:4 n-6), were reduced. Since AA plays a fundamental role in neuronal membrane structure and signaling pathways, these alterations have particular relevance to nervous system function. Tissue-specific alterations further suggested impaired FADS1 activity in the liver and reduced elongase/FADS2 activity in the spinal cord. These findings suggest that desaturase imbalance and FA remodeling in the spinal cord might represent characteristic features of T2D and that altered FA metabolism within the nervous system may potentially serve as an early indicator of neuropathy or a predictor of increased susceptibility to diabetes-related complications. Show less

Obesity is a complex metabolic disease associated with several health complications, including insulin resistance, hypertension, and type 2 diabetes mellitus. Growing evidence indicates that fatty acid profiles and the activity of desaturating enzymes-stearoyl-CoA desaturase-1 (SCD1), delta-5 desaturase (D5D), and delta-6 desaturase (D6D)-are important factors in the pathophysiology of obesity. This review aims to summarise the current understanding of the alterations in lipid metabolism and desaturase activity in obesity, its complications, and potential therapeutic interventions. A literature review was performed using the PubMed, Scopus, and Web of Science databases. Systematic reviews, meta-analyses, clinical studies, cross-sectional studies, and animal studies that assessed fatty acid profiles and desaturase activity in the context of obesity were included. Obesity is associated with significant changes in the profiles of saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), and polyunsaturated fatty acids (PUFAs), as well as altered desaturase activity. Increased activity of SCD1 and D6D and decreased activity of D5D are observed even in childhood and correlate with metabolic risk markers. Genetic variation in genes encoding fatty acid desaturases, such as fatty acid desaturase 1 ( Fatty acid profile and desaturase activity are significantly altered in obesity and represent potential biomarkers and therapeutic targets for its treatment and the prevention of related complications. Their assessment may contribute to a more personalised approach to treating obesity and associated metabolic diseases. Show less

This study aimed to infer a causal gene network associated with bone metastasis in lung cancer and to validate its reliability through experimental gene expression analysis. Using DNA microarray data from the Gene Expression Omnibus, we analyzed samples from primary lung cancer and those with bone metastasis. Commonly expressed genes in both groups were identified, and a causal network was inferred using Bayesian network inference with Java Objects based on the Bayesian Dirichlet score. To evaluate the network, we predicted the expression changes of downstream genes following knockdown of a key upstream gene and compared these predictions with mRNA expression levels in fatty acid desaturase 1 (FADS1)-knockdown lung cancer cells. The genes FADS1, cardiotrophin-like cytokine factor 1 (CLCF1), chromosome 4 open reading frame 48, sushi, nidogen and EGF like domains 1, FK506-binding protein 15, and coenzyme Q10A (COQ10A) were identified as directly associated with lung cancer bone metastasis. Among them, FADS1 appeared to have a regulatory role, influencing downstream targets. Notably, CLCF1 and COQ10A showed significantly increased expression in FADS1-knockdown cells, consistent with the network's predictions. These findings suggest that Bayesian network analysis is a reliable machine learning approach for uncovering causal gene relationships in cancer metastasis. Furthermore, FADS1 may serve as a potential therapeutic target in lung cancer bone metastasis. The validity of this network was supported by in vitro experiments using a lung cancer cell line. Show less

Gallstone disease (GD) is a common gastrointestinal disorder with a significant genetic component. Despite known risk factors, the genetic basis of GD remains incompletely understood. We aimed to identify novel genetic loci associated with GD, explore their clinical implications and investigate their therapeutic potential. We conducted a genome-wide association study from the UK Biobank followed by a meta-analysis, integrating summary statistics from the FinnGen R11, with further replication from Biobank Japan. Using systematic bioinformatic approaches, we performed gene prioritisation, colocalisation analysis, transcriptome-wide association study, Mendelian randomisations, cross-trait genetic correlations, phenome-wide association study, clinical investigations and gene-environment interactions by leveraging data from the FinnGen, Genotype-Tissue Expression project and Liver Cell Atlas single-cell transcriptomics data set. Our study highlighted novel susceptibility loci near candidate genes (ie, This study provides new insights into the genetic basis of GD and highlights the role of hepatocytes in GD pathogenesis. These findings have implications for the personalised prevention strategies and new therapeutic interventions in individuals predisposed to GD. Show less

With the sharp increase in the incidence of papillary thyroid carcinoma (PTC), the disease-specific survival rate has not improved significantly. Cholesterol metabolism plays a crucial role in tumor proliferation, regulation of tumor immune escape, and tumor drug resistance. However, there are few studies on the role of cholesterol metabolism in the occurrence and development of thyroid cancer (THCA). This study aimed to investigate the predictive value of cholesterol metabolism-related genes (CMRGs) in THCA and the relationship between immune invasion and drug sensitivity. Cholesterol metabolism-related genes we identified from the molecular signatures database, and univariate Cox regression and least absolute shrinkage and selection operator(LASSO) were used to construct a predictive model of cholesterol metabolism-related genes based on the TCGA-THCA dataset. The TCGA dataset was randomly divided into a training group and a validation group to verify the model's predictive value and independent prognostic effect. We then constructed a nomogram and performed enrichment analysis, immune cell infiltration, and drug sensitivity analysis. Finally, TCGA-THCA and GSE33630 datasets were used to detect the expression of signature genes, which was further verified by the HPA database. Six CMRGs (FADS1, NPC2, HSD17B7, ACSL4, APOE, HMGCS2) we identified by univariate Cox and LASSO regression to construct a prognostic model for 155 genes related to cholesterol metabolism. Their prognostic value was confirmed in the validation set, and a highly accurate nomogram was constructed combined with clinical features. We found that the mortality rate of high-risk patients increased by 11.41 times, and the infiltration of immune cells in the high-risk group was significantly reduced. Moreover, through drug sensitivity analysis, we obtained sensitive drugs for different risk groups. The GSE33630 dataset verified the expression of six CMRGs, and the HPA database verified the protein expression of the NPC2 gene. Cholesterol metabolism-related features are a promising biomarker for predicting THCA prognosis and can potentially guide personalized immunization and targeted therapy. Show less

Age-related Macular Degeneration (AMD) is widely acknowledged as a principal cause of vision loss in the elderly. Currently, the therapeutic interventions available in clinical practice fail to achieve satisfactory outcomes. Therefore, it is imperative that we approach the progress of AMD from novel perspectives in order to explore new therapeutic strategies. We obtained transcriptomic data from the macular and the peripheral retina from patients with AMD and a control group from the Gene Expression Omnibus (GEO) database. Through Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, we identified differentially expressed genes (DEGs) that were significantly enriched in functions associated with ferroptosis. Subsequent application of machine learning techniques enabled the identification of key hub genes, whose diagnostic potential was further validated. Additionally, the expression of these hub genes was corroborated in both animal and cellular models. Finally, we performed a functional enrichment analysis of these hub genes. In the macula of patients with AMD, 452 DEGs were identified, while in the peripheral retina, 222 DEGs were discovered. Within the macula, 19 genes were associated with ferroptosis, compared to 3 in the peripheral retina. Consequently, the macular was selected as the primary focus of the study. Subsequent screening of these 19 genes using LASSO regression, Support Vector Machine (SVM), and Random Forest algorithms identified four hub genes: FADS1, TFAP2A, AKR1C3, and TTPA. Consequently, we utilized cigarette smoke extract (CSE) to either stimulate retinal pigment epithelial (RPE) cells in vitro or administer it via intravitreal injection, thereby establishing in vitro and in vivo models of AMD. Results from RT-PCR and Western blot analyses revealed an upregulation of FADS1, AKR1C3, and TTPA, while TFAP2A exhibited decreased expression. Finally, we investigated the infiltration of immune cells within the macular and performed a functional enrichment analysis of the hub genes. We identified four key ferroptosis-related genes (FRGs)-FADS1, AKR1C3, TFAP2A, and TTPA-that possess diagnostic relevance for AMD and correlate with immune cell infiltration. Moreover, significant changes in both mRNA and protein expression levels of these genes have been observed in in vitro experiments and mice models. Show less

This study aims to investigate associations between omega-3 polyunsaturated fatty acids (PUFAs) and myopia. Two-sample Mendelian randomization (MR) was conducted to estimate the associations between plasma levels of omega-3 PUFAs and three traits of myopia, including myopia, high myopia (HM), and refractive spherical equivalent (RSE). Summary data-based Mendelian randomization (SMR) and colocalization analysis were conducted to examine the associations between the FADS1 and FADS2 genes and three traits of myopia in European populations. The cross-sectional study based on the Korean National Health and Nutrition Examination Survey (KNHANES) was performed to explore the relationship in East Asian adolescents. In the Two-sample MR study, plasma levels of total omega-3 PUFAs (0.993[0.990, 0.996]), Docosahexaenoic acid (DHA) (0.992[0.989, 0.996]), and Eicosapentaenoic Acid (EPA) (0.969[0.955, 0.983]) were found to be significantly and inversely associated with myopia in European populations, and similar results were shown in HM and RSE. SMR ( Show less

Type 2 diabetes (T2D) is a chronic metabolic disorder that has high comorbidity with mental disorders. The genetic relationships between T2D and depression are far from being well understood. We performed genetic correlation, polygenic overlap, Mendelian randomization (MR) analyses, cross-trait meta-analysis, and Bayesian colocalization analysis to assess genetic relationships between T2D and depression, in the forms of major depressive disorder (MDD) and depressed affect (DAF). Then, the summary data-based MR (SMR) analysis was performed to prioritize genes contributing to MDD and to T2D from functional perspective. MDD-driven signaling pathways were constructed to understand the influence of MDD on T2D at the molecular level. T2D has positive genetic correlations both with MDD (r Our study points out that depression, in the forms of MDD and DAF, may increase the risk of T2D. Analysis of underlying genetic variation and the molecular pathways, connecting depression and T2D, indicate that the pathophysiological foundations of these two conditions have a notable overlap. Show less

Identification of drug-repurposing targets with genetic and biological support is an economically and temporally efficient strategy for improving the treatment of diseases. We employed a cross-disciplinary approach to identify potential therapeutics for the prevention of metabolic-dysfunction-associated steatotic liver disease (MASLD) in at-risk individuals by using humans as a model organism. We identified 212 putative candidate genes associated with MASLD by using data from a large multi-ancestry genetic association study, of which 158 (74.5%) were previously unreported. From this set, we identified 57 genes that encode for druggable protein targets and for which the effects of increasing genetically predicted gene expression on MASLD risk align with the function of that drug on the protein target. We then used We then evaluated these potential targets for evidence of efficacy by using Mendelian randomization, pathway analysis, and protein structural modeling. Through these approaches, we present compelling evidence to suggest that the activation of FADS1 by icosapent ethyl, as well as S1PR2 by fingolimod, could be a promising therapeutic strategy for MASLD prevention. Show less

Polyunsaturated fatty acids (PUFAs) including omega-3 and omega-6 are obtained from diet and can be measured objectively in plasma or red blood cells (RBCs) membrane biomarkers, representing different dietary exposure windows. In vivo conversion of omega-3 and omega-6 PUFAs from short- to long-chain counterparts occurs via a shared metabolic pathway involving fatty acid desaturases and elongase. This analysis leveraged genome-wide association study (GWAS) summary statistics for RBC and plasma PUFAs, along with expression quantitative trait loci (eQTL) to estimate tissue-specific genetically predicted gene expression effects for delta-5 desaturase (FADS1), delta-6 desaturase (FADS2), and elongase (ELOVL2) on changes in RBC and plasma biomarkers. Using colocalization, we identified shared variants associated with both increased gene expression and changes in RBC PUFA levels in relevant PUFA metabolism tissues (i.e., adipose, liver, muscle, and whole blood). We observed differences in RBC versus plasma PUFA levels for genetically predicted increase in FADS1 and FADS2 gene expression, primarily for omega-6 PUFAs linoleic acid (LA) and arachidonic acid (AA). The colocalization analysis identified rs102275 to be significantly associated with a 0.69% increase in total RBC membrane-bound LA levels (p = 5.4 × 10 Show less

The omega-3 fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) have numerous benefits, including strong anti-inflammatory and triglyceride-lowering properties. EPA and DHA are primarily obtained by consuming fatty fish; however, they are also endogenously synthesized primarily in the liver from α-linolenic acid (ALA) through a pathway mediated by the delta-6 desaturase (D6D) enzyme. Previous reports in rodents and humans suggest that dietary proteins such as soy and dairy may impact this pathway differently. The primary aim was to investigate the effects of diets containing either soy or milk protein on the expression, abundance, and enzymatic activity of the desaturases and elongases regulating hepatic omega-3 fatty acid biosynthesis. Male C57BL/6N mice (n = 16 per group) were fed a moderate-fat diet for 8 weeks containing either 1% or 3% energy from ALA. Protein content (15% energy) corresponded to either skim milk powder (SMP) or soy protein isolate (SPI). Hepatic fatty acid content was quantified by gas chromatography-flame ionization detection. Gene expression and protein expression were assessed by RT-qPCR and western blotting, respectively. D6D activity was measured in isolated hepatic microsomes. Fat oxidation was examined using a high-resolution respirometer. Hepatic omega-3 fatty acids (ALA, SDA, EPA, DPAn-3) were lower in SPI-fed mice compared to SMP-fed mice. Fads1, Fads2, Elovl2, and Elovl5 expression was higher in SPI-fed mice compared to those fed SMP, while Srebp-1c expression was lower and Cpt1a expression higher in SPI-fed mice. Consistent with the changes seen at the gene expression levels, FADS2 protein abundance was higher in SPI-fed mice, whereas ELOVL5 protein expression was lower in the SPI groups. Little to no differences in microsomal D6D activity and mitochondrial respiration were detected. Our findings suggest that SPI-related reductions in hepatic omega-3 fatty acid content occur independent of changes in desaturase gene expression, protein expression, enzymatic activity, or mitochondrial respiration. Further studies investigating the influence of dietary proteins on ALA metabolism are therefore warranted. Show less

Agrin, encoded by AGRN , plays a vital role in the acetylcholine receptor clustering pathway, and any defects in this pathway are known to cause congenital myasthenic syndrome (CMS) 8 in early childhood with variable fatigable muscle weakness. The most severe or lethal form of CMS manifests as a fetal akinesia deformation sequence (FADS). To date, only one family has been reported with an association of null variants in AGRN and a lethal FADS. We identified a nonconsanguineous couple with recurrent pregnancy loss. Detailed phenotyping of fetuses was performed via perinatal autopsy. Genetic evaluation was performed along with split-read analysis to identify variants. Perinatal phenotyping revealed FADS in the family, and genomic testing identified novel null variants in AGRN . First, whole-exome sequencing revealed the maternally inherited heterozygous variant c.952+1₉₅₂₊₃del in AGRN in fetuses. Split-read analysis of the exome led to the identification of the paternally inherited second variant, a heterozygous deletion of 41.33 kb, encompassing exons 1 and 2 of AGRN. This study highlights the importance of incorporating split-read analysis in clinical practice and emphasizes the association of null variants in AGRN with the FADS. To the best of our knowledge, this is the second report explaining FADS and null variants in AGRN . Show less

Osteoarthritis (OA) is a multifactorial disease influenced by both genetic and environmental factors. Recent studies suggest that genetic variants involved in nutrient metabolism may interact with dietary factors to modulate OA risk. Understanding these gene-nutrient interactions could inform personalized prevention strategies for OA. We conducted a cross-sectional study involving 500 participants to explore associations between specific genetic variants and OA susceptibility, considering dietary intake. Genotyping focused on polymorphisms in the FADS1 gene (rs174537) related to omega-3 fatty acid metabolism, the VDR gene (rs2228570) involved in vitamin D metabolism, and the IL-6 gene (rs1800795), a marker of inflammation. Dietary intake of omega-3 fatty acids, vitamin D, and antioxidants was assessed using validated food frequency questionnaires. Gene-nutrient interactions were evaluated using multivariable logistic regression models, adjusting for potential confounders. Individuals carrying the G allele of FADS1 who reported low omega-3 fatty acid intake exhibited a significantly increased risk of OA [Odds Ratio (OR) = 1.45; 95% Confidence Interval (CI): 1.10-1.90; Show less

We aimed to explore the treatment effect and therapeutic mechanisms of baicalin in Alzheimer's disease (AD). The AD rat model was established by intracerebroventricular injection of Aβ1-40, with rats in the baicalin group receiving baicalin intraventricular injections. Morris Water Maze and Hematoxylin-eosin (H&E) Staining were employed to detect the successful model construction and baicalin treatment effect. The proteins extracted from the hippocampus were subjected to proteomics analysis. Bioinformatics technology was employed for differential protein screening, functional classification, and enrichment. Western Blot was employed to validate the expressions of differentially expressed proteins (DEPs) and the protein modification alternations. Water maze test confirmed the successful AD model construction and baicalin can improve learning and memory abilities. A total of 26 DEPs associated with 28 Gene Ontology (GO) functions were identified in the model and 32 DEPs were obtained between the baicalin group and the model. Bioinformatics analysis demonstrated that AD occurrence resulted in neuronal dysfunction and was associated with immune responses. The baicalin therapeutic effect on AD may be associated with metabolic processes, vitamin response, angiogenesis regulation, and fatty acid response. Immunoglobulin heavy constant mu (Ighm) and Immunoglobulin G2a (IgG2a) exhibited significant increases in AD and baicalin attenuated their expressions, while Fatty acid desaturase 1 (Fads1) exhibited a significantly diminished expression and baicalin could reverse the trend. Succinylation detection exhibited the differentially expressed at 35 kD between the model and baicalin group. Baicalin intervention may ameliorate cognitive impairment in AD rats by modulating the expressions of proteins and the succinylation modifications. Show less

The existence of a definite direct causal relationship between vitiligo and diverse autoimmune disorders remains unknown due to the influence of confounding factors and potential reverse causality. Mendelian randomization (MR) is a technique employed to explore causal connections between two phenotypes. In our research, bidirectional two-sample MR analyses were utilized to evaluate the causal connections between vitiligo and multiple autoimmune diseases (systemic lupus erythematosus, Graves' disease, inflammatory bowel disease, alopecia areata [AA], type 1 diabetes mellitus [T1MD], and rheumatoid arthritis [RA]). Furthermore, we utilized summary-based Mendelian randomization (SMR) analysis to search for common susceptibility loci between two diseases that reciprocally elevate each other's risk. Finally, colocalization analyses were used to validate the robustness of the selected genes. There was an indication of potential causation between RA and vitiligo (IVW OR = 1.19; 95% CI = 1.05-1.13; p = 0.008). Furthermore, evident causal connections exist between vitiligo and AA (IVW OR = 1.14; 95% CI = 1.04-1.26; p = 0.008), T1MD (IVW OR = 1.14; 95% CI = 1.06-1.23; p < 0.001), and RA (IVW OR = 1.08; 95% CI = 1.03-1.13; p < 0.001). In SMR analyses and colocalization analyses, we identified three shared genes associated with both vitiligo and RA, including: FCRL3, FADS1, and FADS2. Our findings demonstrated that vitiligo and RA mutually act as risk factors for each other. Additionally, vitiligo had significant causal relationships with AA and type 1 diabetes. Show less

Polyunsaturated fatty acids (PUFAs) including omega-3 and omega-6 are obtained from diet and can be measured objectively in plasma or red blood cells (RBCs) membrane biomarkers, representing different dietary exposure windows. Show less

Temperament can be defined as the emotional variability among animals of the same species in response to the same stimulus, grouping animals by their reactivity as nervous, intermediate, or calm. Our goal was to identify genomic regions with the temperament phenotype measured by the Isolation Box Test (IBT) by single-step genome-wide association studies (ssGWAS). The database consisted of 4317 animals with temperament records, and 1697 genotyped animals with 38,268 effective Single Nucleotide Polymorphism (SNP) after quality control. We identified three genomic regions that explained the greatest percentage of the genetic variance, resulting in 25 SNP associated with candidate genes on chromosomes 6, 10, and 21. A total of nine candidate genes are reported for the temperament trait, which is: Show less

Bipolar disorder (BPD) is a debilitating mood disorder with an unclear etiology. A better understanding of the underlying pathophysiological mechanisms will help to identify novel targets for improved treatment options and prevention strategies. In this metabolome-wide Mendelian randomization study, we screened for metabolites that may have a causal role in BPD. We tested a total of 913 circulating metabolite exposures assessed in 14,296 Europeans using a mass spectrometry-based platform. For the BPD outcome, we used summary data from the largest and most recent genome-wide association study reported to date, including 41,917 BPD cases. We identified 33 metabolites associated with BPD (p Overall, our findings support the notion that arachidonic acid and other polyunsaturated fatty acids may represent potential targets for BPD. Show less

Introduction FADS1 (fatty acid desaturase 1) gene polymorphism results in more susceptibility to certain metabolic diseases and chronic inflammatory diseases like periodontitis. This study aims to analyze the association between FADS1 gene polymorphism and various stages of periodontitis. Materials and methods One hundred subjects included in the study were categorized into two groups: group A (n = 50) had healthy periodontium, and group B (n = 50) had ≥stage II periodontitis. They were graded based on the clinical parameters of probing pocket depth (PPD), clinical attachment level (CAL), and bleeding on probing (BOP). Five milliliters of venous blood were collected, and DNA isolation was done. Genomic DNA was extracted. The DNA was then subjected to amplification with the help of specific primers flanking the Show less

Bladder cancer (BLCA) is a tumor that affects men more than women. The biological function and prognostic value of androgen-responsive genes (ARGs) in BLCA are currently unknown. To address this, we established an androgen signature to determine the prognosis of BLCA. Sequencing data for BLCA from the TCGA and GEO datasets were used for research. The tumor microenvironment (TME) was measured using Cibersort and ssGSEA. Prognosis-related genes were identified and a risk score model was constructed using univariate Cox regression, LASSO regression, and multivariate Cox regression. Drug sensitivity analysis was performed using Genomics of drug sensitivity in cancer (GDSC). Real-time quantitative PCR was performed to assess the expression of representative genes in clinical samples. ARGs (especially the CDK6, FADS1, PGM3, SCD, PTK2B, and TPD52) might regulate the progression of BLCA. The different expression patterns of ARGs may lead to different immune cell infiltration. The risk model indicates that patients with higher risk scores have a poorer prognosis, more stromal infiltration, and an enrichment of biological functions. Single-cell RNA analysis, bulk RNA data, and PCR analysis support the reliability of this risk model, and a nomogram was also established for clinical use. Drug prediction analysis showed that high-risk patients had a better response to fludarabine, AZD8186, and carmustine. ARGs played an important role in the progression, immune infiltration, and prognosis of BLCA. The ARGs model has high accuracy in predicting the prognosis of BLCA patients and provides more effective medication guidelines. Show less

Monounsaturated fatty acids (MUFAs) play a pivotal role in maintaining endoplasmic reticulum (ER) homeostasis, an emerging hallmark of cancer. However, the role of polyunsaturated fatty acid (PUFAs) desaturation in persistent ER stress driven by oncogenic abnormalities remains elusive. Fatty Acid Desaturase 1 (FADS1) is a rate-limiting enzyme controlling the bioproduction of long-chain PUFAs. Our previous research has demonstrated the significant role of FADS1 in cancer survival, especially in kidney cancers. We explored the underlying mechanism in this study. We found that pharmacological inhibition or knockdown of the expression of FADS1 effectively inhibits renal cancer cell proliferation and induces cell cycle arrest. The stable knockdown of FADS1 also significantly inhibits tumor formation Show less