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Childhood obesity increases the risk of developing metabolic diseases in adulthood, since environmental stimuli during critical windows of development can impact on adult metabolic health. Studies demonstrating the effect of prepubertal diet on adult metabolic disease risk are still limited. We hypothesized that a prepubertal control diet (CD) protects the adult metabolic phenotype from diet-induced obesity (DIO), while a high-fat diet (HFD) would predispose to adult metabolic alterations. Sprague-Dawley male rats were fed either a CD or a HFD during the prepubertal period (day 30-40 of age) and subsequently a chronic HFD or CD, respectively, until adulthood (day 220 of age). As controls, rats aged 30 days were exclusively fed a CD or a HFD until adulthood. Body weight and composition, metabolic rate, biochemical and hormonal plasma measurements, hepatic gene expression and methylation and hydroxymethylation levels were analyzed at ages 30, 40 and 220 days. The prepubertal CD prevented fat mass accumulation, lean mass loss and metabolic inflexibility, showed lower insulin, leptin and cholesterol concentrations in adulthood despite the chronic HFD. Notably, the prepubertal CD led to higher hepatic Lxrα expression, lower hepatic global DNA methylation and higher hydroxymethylation in adulthood despite a chronic HFD. Conversely, a prepubertal HFD decreased adult metabolic flexibility, increased serum cholesterol, and decreased Lxrα expression and global DNA hydroxymethylation, while also increasing DNA methylation levels despite a chronic CD. In summary, a prepubertal CD protected the adult metabolic phenotype from high cholesterol concentrations associated with increased hepatic Lxrα expression and lower hepatic global DNA methylation in adulthood, despite exposure to a chronic HFD. Conversely, a prepubertal HFD altered the adult metabolic phenotype. Show less

A 50-year-old woman had triglyceride values up to 1640 mg/dL on routine laboratory tests. Despite the initiation of fenofibrate, icosapent ethyl, rosuvastatin, and a low-fat diet, her triglyceride values ranged from 1200 to more than 8200 mg/dL, and she had recurrent pancreatitis. Testing was negative for mutations in chylomicronemia genes such as LPL, APOC2, APOA5, LMF1, and GPIHBP1. Additional testing revealed elevated autoantibodies to GPIHBP1 up to 2,336 U/mL (normal <58 U/mL) and decreased GPIHBP1 to 2.5 pg/mL (normal range 570-1,625 pg/mL), confirming GPIHBP1 autoantibody syndrome (GPIHBP1-AAS). The patient received rituximab 1000 mg infusion, with 2 doses given 3 weeks apart. Triglycerides decreased from 1,746 to 81 mg/dL within 4 months and remained normal 12 months later without repeat dosing. GPIHBP1-AAS was only recently described and is associated with severe hypertriglyceridemia and recurrent pancreatitis. In our case, treatment with rituximab was very effective. GPIHBP1-AAS-associated hypertriglyceridemia should be recognized and can be successfully treated with rituximab. Show less

The poor prognosis of glioblastoma (GBM) patients is attributed mainly to abundant neovascularization and presence of glioblastoma stem cells (GSCs). GSCs are preferentially localized to the perivascular niche to maintain stemness. However, the effect of abnormal communication between endothelial cells (ECs) and GSCs on GBM progression remains unknown. Here, we reveal that ECs-derived SEMA3G, which is aberrantly expressed in GBM patients, impairs GSCs by inducing c-Myc degradation. SEMA3G activates NRP2/PLXNA1 in a paracrine manner, subsequently inducing the inactivation of Cdc42 and dissociation of Cdc42 and WWP2 in GSCs. Once released, WWP2 interacts with c-Myc and mediates c-Myc degradation via ubiquitination. Genetic deletion of Sema3G in ECs accelerates GBM growth, whereas SEMA3G overexpression or recombinant SEMA3G protein prolongs the survival of GBM bearing mice. These findings illustrate that ECs play an intrinsic inhibitory role in GSCs stemness via the SMEA3G-c-Myc distal regulation paradigm. Targeting SEMA3G signaling may have promising therapeutic benefits for GBM patients. Show less

Virus-induced trabeculitis is considered a significant cause of uveitic glaucoma, being marked by a sudden increase in intraocular pressure and relatively mild inflammation in the anterior chamber of the eye. In previous proteome analyses of aqueous humor (AH) derived from Cytomegalovirus (CMV) uveitic glaucoma patients, we observed the liver X receptor (LXR) pathway to be among the most prominently activated canonical pathways. In the present study, we explored the role of the LXR pathway in the etiology of glaucoma in association with ocular inflammation. LXRα/β and ABCA1, the downstream targets of LXR, were distributed throughout the conventional AH outflow pathway of the human eye, and their increased levels in human trabecular meshwork cells in response to CMV infection and -lipopolysaccharide (LPS) treatment. Treatment with an LXR agonist (T091317) suppressed LPS-induced inflammation and this response was reversed under the deficiency of LXRα/LXRβ. Furthermore, in the rat endotoxin uveitis model, the LXR agonist significantly reduced infiltrating cells and expression of proinflammatory cytokines in the iris and retina. These results reveal upregulation of LXR-ABCA1 under inflammatory insult in the conventional AH outflow pathway, and activation of LXR exhibiting an anti-inflammatory effect, implying its essential physiological protective role in glaucoma associated with ocular inflammation. Show less

Severe hypertriglyceridemia (HTG) is characterized by plasma triglyceride (TG) levels >500 mg/dL (SI: 5.7 mmol/L) (reference range, <150 mg/dL [SI: <1.7 mmol/L]) and is linked to cardiovascular disease and pancreatitis risk. Treatment typically involves dietary restrictions and lipid-lowering medications. Glycerol kinase deficiency (GKD) is a rare genetic disorder that causes pseudo-HTG. In SHASTA-2, a study of patients with severe HTG, most subjects (>90%) treated with plozasiran, an apolipoprotein C-III (APOC3) small interfering RNA (siRNA), achieved TG levels <500 mg/dL (SI: 5.7 mmol/L), below the risk threshold for acute pancreatitis. We report herein a case study of a 65-year-old male apparently not responding to plozasiran. The patient was shown to carry a loss-of-function variant in the Show less

Colorectal cancer (CRC) metastasis remains a major cause of mortality, driven by epithelial-to-mesenchymal transition (EMT) and invasion. Programmed cell death 4 (Pdcd4), a tumor suppressor, is known to inhibit translation via interaction with eukaryotic initiation factor 4A (eIF4A). Previous studies have established that Pdcd4 suppresses stress-activated protein kinase 1-interacting protein 1 (Sin1) translation through the mTORC2-Akt axis, thereby downregulating Snail expression and EMT in CRC cells. However, whether Pdcd4 directly regulates Slug, another critical EMT transcription factor, remains unexplored. PDCD4 shRNA and SLUG siRNA were used to knock down Pdcd4 and Slug in colorectal cancer cells, respectively. The sucrose gradient fractionation was performed to determine SLUG translation. A luciferase reporter assay was used to determine the role of the SLUG 5' untranslated region (5'UTR) on Pdcd4 inhibition. The effect of Slug on promoting invasion was determined by Matrigel invasion assays. Knockdown of Pdcd4 in colorectal cancer cells increased Slug protein levels without altering SLUG mRNA abundance. Sucrose gradient fractionation revealed that Pdcd4 knockdown elevated the proportion of SLUG mRNA in polysome fractions, demonstrating Pdcd4-mediated suppression of SLUG translation. To validate the mechanism, the SLUG 5'UTR was cloned and fused to a luciferase reporter and named SLUG-5'UTR-Luc. Pdcd4 knockdown markedly enhanced SLUG-5'UTR-Luc activity; whereas, ectopic Pdcd4 expression suppressed it, indicating that the SLUG 5'UTR is critical for Pdcd4-mediated translational repression. Treatment with the eIF4A inhibitor silvestrol substantially reduced Slug protein levels and SLUG-5'UTR-Luc activity. In addition, Pdcd4 overexpression decreased Slug protein abundance and restored E-cadherin expression. Notably, Slug knockdown in Pdcd4-deficient cells rescued E-cadherin expression and abrogated the invasive phenotype. These findings suggest that up-regulation of Slug translation by Pdcd4 knockdown contributes to enhanced invasion. Pdcd4 suppresses colorectal cancer invasion by translationally downregulating Slug expression. Show less

To observe the effect of the Lian-Dou-Qing-Mai (LDQM) formula on lipid metabolism in mice and explore its mechanism from the perspective of regulating the PPARγ/LXRα/ABCA1 signaling pathway. THP-1 cells were induced to transform into foam cells with ox-LDL. Atherosclerosis (AS) models were constructed using a high-fat diet in ApoE In the cell model, LDQM could inhibit the formation of THP-1 macrophage-derived foam cells and the expression of inflammatory factors, promote macrophage cholesterol efflux, increase the expression of IL-10, and activate the PPARγ-LXRα-ABCA1/ABCG1 pathway. Additional IL-10 treatment further promotes LDQM-induced cholesterol efflux in THP-1 cells; LDQM may affect the PPARγ/LXRα/ABCA1 signaling pathway through IL-10, regulate lipid metabolism, reduce serum inflammatory expression and lipid deposition, and improve the formation of atheroplaques. Show less

To investigate the clinical characteristics and prognostic of venetoclax (VEN) combined targeted therapy in acute leukemia (AL) patients with A retrospective analysis was conducted on 16 Among the 16 cases, 3 were confirmed by reverse transcription multiplex PCR, and 13 were detected through targeted RNA-seq among 528 AL patients, with a detection rate of 2.46%. The averge age of patients was (28.0±8.58) years. Patients exhibited diverse immunophenotypes, including 7 cases of acute myeloid leukemia, 5 of acute T-lymphoblastic leukemia, 1 of acute B-lymphoblastic leukemia, 1 of acute undifferentiated leukemia, and 2 of mixed-phenotype acute leukemia. Among them, 11 had extramedullary disease (EMD), 14 expressed CD7, and 12 expressed CD33. Major co-occurring mutations included Show less

Hereditary multiple exostoses (HME) is an autosomal dominant skeletal disease. Genetic linkage analyses have identified that mutations in the exostosin glycosyltransferase (EXT)1 and EXT2 genes are linked to HME pathogenesis, with EXT1 mutation being the most frequent. The aim of this study was to generate a mice model with Ext1 gene editing to simulate human EXT1 mutation and investigate the genetic pathogenicity of Ext1 through phenotypic analyses. We designed a pair of dual sgRNAs targeting exon 1 of the mice Ext1 gene for precise deletion of a 46 bp DNA fragment, resulting in frameshift mutation of the Ext1 gene. The designed dual sgRNAs and Cas9 proteins were injected into mice zygotes cytoplasm. A total of 14 mice were obtained via embryo transfer, among which two genotypic chimera mice had a deletion of the 46 bp DNA fragment in exon 1 of the Ext1 gene. By hybridization and breeding, we successfully generated heterozygous mice with edited Ext1 gene (Ext Show less

Recurrent implantation failure (RIF) is a complex and poorly understood clinical disorder characterized by failure to conceive after repeated embryo transfers. Endometrial receptivity (ER) is a prerequisite for implantation, and ER disorders are associated with RIF. However, little is known regarding the molecular mechanisms underlying ER in RIF. In the present study, RNA sequencing data from the mid-secretory endometrium of patients with and without RIF were analyzed to explore the potential long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) involved in RIF. The analysis revealed 213 and 1485 differentially expressed mRNAs and lncRNAs, respectively (fold change ≥ 2 and p < 0.05). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses indicated that these genes were mostly involved in processes related to immunity or inflammation. 5 key genes (TTR, ALB, TF, AFP, and CFTR) and a key module including 14 hub genes (AFP, ALB, APOA1, APOA2, APOB, APOH, FABP1, FGA, FGG, GC, ITIH2, SERPIND1, TF and TTR) were identified in the protein-protein interaction (PPI) network. The 5 key genes were used to further explore the lncRNA-miRNA-mRNA regulatory network. Finally, the drug ML-193 based on the 14 hub genes was identifed through the CMap. After ML-193 treatment, endometrial cell proliferation was increased, the hub genes were mostly down-regulated, and the ER marker HOXA10 was up-regulated. These results offer insights into the regulatory mechanisms of lncRNAs and mRNAs and suggest ML-193 as a therapeutic agent for RIF by enhancing ER. Show less

Cardiovascular diseases caused by atherosclerosis (AS) are the leading causes of disability and death worldwide. Apolipoprotein B (ApoB), the core protein of low-density lipoproteins, is a major contributor to cardiovascular disease-related morbidity and mortality, with apolipoprotein B (ApoB) playing a critical role in its pathogenesis. However, no bibliometric studies on the involvement of ApoB in AS have been published. This study aimed to conduct a comprehensive bibliometric analysis to explore the current and future trends regarding the role of ApoB in AS. Utilizing the Web of Science Core Collection, a thorough search was conducted for ApoB in AS-related papers related to research on ApoB in the field of AS during 1991-2023. The analysis focused on annual publication trends, leading countries/regions and institutions, influential authors, journal and key journals. CiteSpace and VOSviewer were employed to visualize reference co-citations, and keyword co-occurrences, offering insights into the research landscape and emerging trends. This bibliometric analysis employed network diagrams for cluster analysis of a total of 2105 articles and reviews, evidencing a discernible upward trend in annual publication volume. This corpus of research emanates from 76 countries/regions and 2343 organizations, illustrating the widespread international engagement in ApoB-related AS studies. Notably, the United States and the University of California emerge as the most prolific contributors, which underscores their pivotal roles in advancing this research domain. The thematic investigation has increasingly focused on elucidating the mechanistic involvement of ApoB in atherosclerosis, its potential as a diagnostic biomarker, and its implications for therapeutic strategies. This bibliometric analysis provides the first comprehensive perspective on the evolving promise of ApoB in AS-related research, emphasizing the importance of this molecule in opening up new diagnostic and therapeutic avenues. This study emphasizes the need for continued research and interdisciplinary efforts to strengthen the fight against AS. Furthermore, it emphasizes the critical role of international collaboration and interdisciplinary exploration in leveraging new insights to achieve clinical breakthroughs, thereby addressing the complexities of AS by focusing on ApoB. Show less

The study examined the association between body composition and beverage consumption and the risk of asthma and chronic obstructive pulmonary disease (COPD) and explored the single nucleotide polymorphisms (SNPs) involved in these associations by leveraging summary statistics from genome-wide association studies (GWAS) in nonoverlapping populations. The IEU OpenGWAS project was sourced for exposure datasets: body mass index, body fat percentage, fat-free mass, total body water mass, alcohol intake frequency, and coffee intake, and selected health outcome datasets: asthma and chronic obstructive pulmonary disease. Datasets were assessed and filtered using R, followed by a two-sample Mendelian randomization analysis. The MR Egger, weighted median, inverse variance weighted, simple mode, and weighted mode methods were used to examine the association between exposures and outcomes. Heterogeneity and pleiotropy analyses were used to evaluate the reliability of results. Additionally, SNPnexus was used to ascertain SNPs linked to established phenotypes, while SNP annotation was obtained from the Ensembl BioMart database via the biomaRt package. Genes belonging to overlapping groups were visualized using ComplexHeatmap. Higher body fat percentage (OR = 1.72, 95% CI: 1.23-2.41, Show less

Meningioma is a common primary central nervous system tumor that can cause a heavy burden on patients. Despite its well-established treatment modalities, pharmacological treatments are not sufficiently abundant. Therefore, we explored potential therapeutic targets for meningiomas by integrating genomic and proteomic data. We integrated meningioma data from the UK Biobank and Finnish databases and subsequently explored potential therapeutic targets for meningiomas through multi-omics data using bioinformatics techniques and Mendelian randomization. These targets were finally evaluated using phenotype-wide association group analysis. We found that BET1L, COL17A1, CFAP43, SH3PXD2A, TTC28, ZNRF3, SLK, AKR1C3, NRXN3, and RSPO3 can be potential therapeutic targets for meningiomas. This study provides evidence and explores the biological significance of BET1L, COL17A1, CFAP43, SH3PXD2A, TTC28, ZNRF3, SLK, AKR1C3, NRXN3, and RSPO3 as potential therapeutic targets for meningiomas, providing new insights into the development of targeted therapy for meningiomas. Show less

NGS (next-generation sequencing) has become a rapid advance in discovering the variants in the genomic data for disease diagnosis, prognosis, and therapeutic decision. However, the scope of detecting single nucleotide polymorphisms (SNPs) becomes limited by the availability of reliable high-throughput data. OUD (opioid use disorder) is a chronic condition marked by prolonged opioid misuse, leading to cycles of relapse and remission. The discovery of genetic variants associated with OUD is constrained by limited genomic data, making it crucial to identify these variants and their genetic factors. The identification of variants from RNA-seq (RNA-sequencing) data can become the representative of the SNP analysis that is generally preferred from the whole genome or exome sequencing data. This study aimed to identify variants from gene expression data downloaded from NCBI GEO with accession PRJNA492904 in postmortem ventral midbrain specimens of chronic opioid users. We hypothesized that the NRXN3 gene would exhibit the highest number of variants due to its significant role in neuronal synapse function and its association with opioid addiction and impulsivity. We utilized RNA-Seq data from OUD patients (PRJNA492904, NCBI SRA) to detect variants in expressed RNA, which can indicate functional protein changes. Eight genes were analyzed: BDNF, DRD2, DRD3, NRXN3, OPRD1, OPRM1, and NGFB, with a primary focus on NRXN3. Our findings revealed the highest number of variants in NRXN3 compared to the other genes, highlighting its potential importance in OUD and the robustness of RNA-Seq in variant detection. Show less

Asthma severity assessment is essential for asthma management. Transcriptomics contributes substantially to asthma pathogenesis. Then, this study aimed to explore asthma severity-associated transcriptomics profile and promising biomarkers for asthma severity prediction. In discovery cohort, induced sputum cells from 3 non-severe and 3 severe asthma patients were collected and analyzed using RNA-seq. Multivariate analysis was performed to explore asthma severity-associated transcriptomics profile and differential expressed genes (DEGs). The Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) were used for pathway enrichment analysis. Subsequently, based on the previous study and clinical experience, the mRNA expressions of 6 overlapped asthma severity-associated DEGs and Distinct asthma severity-associated transcriptomics profile was identified in induced sputum cells in discovery cohort. Then, 345 DEGs were found, of which 38 terms and 32 pathways were enriched using GO and KEGG, respectively. In validation cohort, the mRNA expressions of Collectively, this study provides the first identification of the association between induced sputum cells transcriptomics profile and asthma severity, indicating the potential value of transcriptomics for asthma management. The study also reveals the promising value of serum C3 for predicting asthma severity in clinical practice. Show less

This study focuses on the impacts of polystyrene/polylactic acid microplastics (PS/PLA-MPs) on ovarian reserve and oocyte maturation in female mice, along with the underlying mechanisms. 1 μm PS-MPs and PLA-MPs were prepared, with PLA-MPs having a rougher surface and broader size distribution. In vitro, PLA-MPs showed higher cytotoxicity to granulosa cells compared to PS-MPs. In vivo, MPs exposure disrupted the estrous cycle, and damaged ovarian reserve. Granulosa cell apoptosis and cytokine activation led to transzonal projection retraction, oocyte oxidative stress, meiotic abnormalities, and reduced oocyte retrieval and polar body extrusion rate, thus reducing litter size. PS-MPs induced more severe intestinal and ovarian impairment. Analysis of feces 16S rRNA, serum metabolomics, and ovarian RNA sequencing revealed that lipoprotein lipase (LPL) was suppressed by both MPs, linking gut microbiota, lipid metabolism, and ovarian injury. Fecal microbiota transplantation as a rescue strategy in MPs exposed mice upregulated LPL, alleviating ovarian reserve decline. In PLA-MPs exposed mice, ovarian reserve related indicators partially recovered after a two-week exposure cessation. These results clarify the similarities and differences in how PS-MPs and PLA-MPs impair ovarian function via gut-ovary axis and lipid metabolism dysregulation. Show less

Intracellular amyloid-β (Aβ) accumulation causes Alzheimer's disease (AD), and thus Aβ-related inhibitors, especially inhibitors of β-secretase 1, known as β-site amyloid precursor protein (APP) cleaving enzyme 1 (BACE1) have been developed to treat AD. The purpose is to evaluate BACE1 inhibitory activity of the compounds isolated from Styrax japonica stem bark, traditionally used as herbal medicines. In this study, seven compounds were isolated, including three lignans, styraxlignolide A, masutakeside I, and egonol. Styraxlignolide A showed potent inhibitory activity against BACE1 with an IC Show less

Autoimmune diseases, such as type 1 diabetes (T1D) and Hashimoto's thyroiditis (HT), are often studied from an immune perspective with less focus on the target tissue responses. Target tissues, however, are key to disease and engage in a harmful crosstalk with the immune system contributing to their own destruction. We presently integrated transcriptomic data from the target tissues of six autoimmune/inflammatory diseases affecting β-cells (T1D and type 2 diabetes), thyroid (HT), brain (multiple sclerosis and Alzheimer's disease) or the joints (rheumatoid arthritis), using both bulk and single-cell/nucleus RNA-sequencing (sc/snRNA-seq) approaches. Common upregulated pathways were associated with innate/adaptive immunity, antigen presentation and interferon (IFN) signaling. The role of IFNs was confirmed by RNA-seq in human insulin-producing EndoC-βH1 cells and stem cell-derived thyroid follicle cells exposed to IFNα or IFNγ. Commonly upregulated inflammatory gene signatures were explored, and fibroblast growth factor receptor (FGFR) inhibitors emerged as a potential strategy to counteract these inflammatory transcriptional signatures. The effects of the FGFR1 inhibitor PD173074 on IFN-induced immune related genes were evaluated in EndoC-βH1 cells, stem cell-derived islets and adult human islets. We validated the FGFR inhibitor PD173074 as a promising drug for preserving expression of β-cell protective genes (PDL1 and HLA-E) while reducing HLA class I expression and β-cell recognition by diabetogenic pre-proinsulin-specific CD8 Show less

This study aims to identify genetically influenced metabolites (GIMs) associated with SSBP and elucidate their regulatory pathways through metabolome genome-wide association studies (mGWASs). Untargeted metabolomics and genome-wide genotyping were performed on 54 participants from the Systematic Epidemiological Study of Salt Sensitivity (EpiSS). The mGWAS was conducted on 970 plasma metabolites, and their potential biological mechanisms were explored. The multivariable logistic regression model and mendelian randomization (MR) were employed to investigate the association and causal relationship between GIMs and SSBP. Metabolomic analysis was performed on 100 subjects in the replication analysis to validate the GIMs identified in the discovery set and their causal association with SSBP. The mGWAS revealed associations between 1485 loci and 18 metabolites. After performing linkage disequilibrium analysis, 368 independent mQTLs were identified and annotated to 141 genes. These functional genes were primarily implicated in the signal transduction of sinoatrial node and atrial cardiac muscle cells. Five key genes were identified using CytoHubba, including Show less

Recent research suggests that the ketogenic diet (KD) has the potential to serve as an effective treatment option for neuropsychiatric disorders, targeting both dysfunctions in brain metabolism and cardiometabolic comorbidities. In many patients, KDs may ameliorate comorbidities such as obesity, metabolic syndrome and type 2 diabetes. However, the long-term effects of KDs on cardiovascular health remain an important topic of investigation, due to considerable inter-individual variability in how KDs may impact lipid metabolism. While some studies have shown no significant change in cholesterol levels, and some have shown improvements, still others have highlighted the potential of KDs to induce or exacerbate hyperlipidemia. To shed new light on this ongoing controversy, we present both beneficial and concerning effects of a 3-month intervention with Ketogenic Metabolic Therapy (KMT) (1.5:1 ratio) on a wide range of cardiometabolic health markers in seven outpatients with bipolar disorder and comorbid dyslipidemia. Cardiometabolic assessments were based on markers of lipoprotein burden, such as apolipoprotein B (apoB), lipoprotein (a) (Lp(a)), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG) and total cholesterol (TC), markers of inflammation, such high-sensitivity C-reactive protein (hsCRP) and tumor necrosis factor (TNF-α), markers of oxidative stress, such as malondialdehyde-modified LDL (MDA-LDL) and nitrotyrosine, molecules that relate to endothelial function, such as homocysteine and advanced glycation end products (AGE), and anthropometric measures, such as BMI and fat mass. Mean changes between pre-KMT and post-KMT measurements were calculated. In addition, within-person changes in outcomes of interest were visually summarized using boxplots. Beneficial cardiometabolic effects included a decrease in mean Lp(a) of 6.6 mg/dl (-21%), a reduction in mean triglyceride of 40.6 mg/dl (-30%), a reduction in mean apoB of 0.14 g/L (-10,5%) and an increase in mean HDL-C of 3 mg/dL (+5%), a reduction in mean hsCRP of 0.94 mg/L (-45%), a reduction in mean TNF-α of 1.31 pg/ml (-7%), a reduction in mean MDA-LDL of 36.77 U/L (-38%), a reduction in mean nitrotyrosine of 225 nmol/L (-28%), a mean weight reduction of 4 kg (-4,6%), a mean visceral fat reduction of 0.69% (-10%) and a mean fat mass reduction of 3.7 kg (-12%). However, some concerning effects were also observed. Of note, mean homocysteine levels increased by 1.94 umol/L (+18%) and mean AGE levels increased by 30.9 ug/ml (+106%). Moreover, mean LDL-C was increased by 14 mg/dl (+9%) and mean total cholesterol was increased by 7 mg/dl (+3%). Based on these findings, it is concluded that comprehensive Ketogenic Metabolic Therapy provided to outpatients with bipolar disorder can be beneficial in improving a broad range of cardiometabolic health markers, including lipid metabolism, inflammation, oxidative stress and anthropometric measures. Tentatively, these findings suggest that at least a proportion of patients with bipolar disorder may find remarkable improvements in cardiometabolic health adopting a metabolic treatment such as the ketogenic diet. However, potentially concerning effects on markers such as homocysteine and AGE call for well-formulated, individualized KDs. Show less

An increasing number of studies have demonstrated a strong correlation between metabolism, inflammation, and chronic obstructive pulmonary disease (COPD). However, it remains unclear if there is a causal relationship between these factors. This study employed the Mendelian randomization (MR) approach to investigate the associations between these factors and explore the mediating roles of key inflammatory proteins. MR was used to assess the causal associations between plasma metabolites, inflammatory proteins, and COPD. Sensitivity analyses were performed to verify the robustness of the findings. Mediation analysis was conducted to explore the roles of inflammatory proteins in the metabolism-COPD pathway. We constructed protein-protein interaction (PPI) network and explored the potential mechanism through gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. Single-cell sequencing and transcriptome datasets were used for auxiliary validation. Finally, experimental validation was performed using human lung tissue. This study identified 63 metabolites, 10 metabolite ratios, and 48 inflammatory proteins that were associated with COPD, all of which exhibited potential causal relationships. Furthermore, three proteins were identified as mediators in the metabolite-to-COPD pathway. PPI network, GO and KEGG enrichment analysis revealed the biological pathways in which they were involved. Validation of the expression of these three intermediary proteins in lung tissue demonstrated that NRXN3 was expressed in pulmonary endothelial cells and exerted a protective effect against COPD development. The MR analysis revealed causal associations among metabolism, inflammation, and COPD. These findings offer novel insights into metabolism-inflammation-COPD mechanisms, suggesting that interventions targeting metabolic processes may represent a promising strategy for preventing the onset or progression of COPD. Show less

Lung cancer (LC) is the most prevalent form of malignant neoplasm globally, as well as the major cause of cancer-related death. Identifying effective pharmaceutical targets is paramount in advancing the development of treatment modalities for LC. Protein-wide Mendelian randomization (MR) was used in this study. The present study collated data on plasma proteins from a protein quantitative trait loci (pQTL) study with a total of 4907 individuals. Genetic associations with LC were obtained from GWAS, including 3791 cases and 489012 controls. Integration of pQTL and LC genome-wide association study (GWAS) data was employed to identify candidate proteins. MR used single nucleotide polymorphisms (SNPs) as a genetic tool to estimate the causal effect of exposure on the outcome, while reverse Mendelian randomization was performed to assess the presence of false positives. The present study utilized these approaches to evaluate the causal relationship between plasma proteins and LC. Finally, protein-protein interaction (PPI) and functional enrichment analyses were performed to illustrate potential links between proteins and current LC drugs. Finally, drug prediction and molecular docking were performed to predict drugs and explored the expression distribution of key genes by single-cell sequencing. We identified 46 plasma proteins that are strongly associated with LC Fifteen of these proteins have protective effects. Among them, MMP8(OR = 0.87, 95%CI:0.78-0.97, p = 0.013) had the most significant protective effect. In contrast, 31 proteins increased the risk of LC. IL36A༈OR = 1.20, 95%CI:1.041-1.38, p = 0.012) exhibited the most significant MR result. Notably, COL2A1, MMP19 showed reverse causality. This was further verified by enrichment analysis, which confirmed the causal effect of these proteins. Additionally, the researchers utilized the DSigDB database to predict potentially effective intervening drugs, identifying nine possible candidates. Molecular docking showed that the drugs bind very much to the proteins. KDR and ANGPTL4 are abundantly expressed in lung tissue and are differentially expressed between cells. The present study has revealed six potential drug targets for the treatment of LC. Drugs designed to target these proteins will be more likely to attain success in clinical trials and are expected to assist in the development of LC drugs and reduce drug development costs. Show less

Cardiac amyloidosis (CA) occurs when misfolded proteins deposit as fibrils in the extracellular space of the heart. The fibrillogenic properties of apolipoprotein A-IV (ApoAIV) have been histologically observed and associated with CA pathogenesis. We report the structure of an ApoAIV amyloid from a patient's heart, which coexist amongst transthyretin (TTR) amyloids. These cases of undetected mixed CA highlight the importance of developing broad-spectrum anti-amyloid treatments to improve outcomes in patients. Show less

The association between gut microbes and Alzheimer's disease (AD) has not been entirely elucidated. We aimed to demonstrate the association between gut microbes and AD and to further investigate the pathogenesis of microbes with a causal relationship to AD. Mendelian randomization analyses were used to determine the significant causal relationship between gut microbes and AD. Protein-protein interaction (PPI) network was used to identify the hub genes. Functional enrichment analysis was used to reveal the pathogenesis theoretically between gut microbes and AD. In the present study, a total of 32 microbes were identified that were significantly associated with AD. Subsequently, DLGAP2, NRXN3, NEGR1, NTNAP2, MYH9, and SCN3A were identified as hub genes. The genes NRXN3, NEGR1, and NTNAP2 were enriched in the cell adhesion molecules (CAMs) signaling, and the taxons of gut microbes that corresponded to these were Show less

The peri- and early post-infarction period carries an increased risk of recurrent ischemic events. Oxidized phospholipids (OxPLs) are pro-inflammatory and contribute to plaque instability and thrombosis. This study aimed to: (1) assess changes, during the early post-MI period in OxPL-apo(a) and OxPL-apoB, (2) evaluate the effect of PCSK9 inhibition on these changes, and (3) explore their relationships with the changes in Lp(a) and LDL-C. Ninety-six participants with NSTEMI or STEMI were randomized to receive placebo (n = 48) or 420 mg subcutaneous evolocumab (n = 48) within 24 h of admission. OxPL-apo(a), OxPL-apoB, Lp(a), and LDL-C levels were measured at baseline and 30 days post-MI. In the placebo group, OxPL-apo(a) increased from 52.6 [19.3, 106.5] nmol/L at baseline to 61.7 [31.5, 116.9] nmol/L at 30 days (p = 0.014), and OxPL-apoB rose from 6.7 [3.1, 21] nmol/L to 8.8 [3.7, 23] nmol/L (p = 0.0045). In contrast, no significant changes were observed for OxPL-apo(a) (p = 0.17) or OxPL-apoB (p = 0.058) in the evolocumab group. OxPL-apo(a) correlated strongly with Lp(a) at baseline (r = 0.93, p < 0.001) and 30 days (r = 0.94, p < 0.001), and OxPL-apoB correlated similarly (baseline: r = 0.92, p < 0.001; 30 days: r = 0.93, p < 0.001). No correlation was observed between OxPLs and LDL-C. OxPL-apo(a) and OxPL-apoB levels were strongly correlated with Lp(a) and increased during the early post-infarction period. This increase was prevented by in-hospital administration of a PCSK9 inhibitor. These findings provide new insights into early changes in OxPLs following acute MI and suggest a protective role for PCSK9 inhibition during this critical period. Show less

Despite the high mortality associated with angiosarcoma, its low prevalence has limited sample sizes in prior studies. To address these gaps, we analyzed the AACR Project GENIE registry, a large, multi-institutional database. 359 tumor samples from 346 patients with angiosarcoma were identified from the AACR Project GENIE v18.0-public database using cBioPortal. Somatic mutations and copy number alterations were assessed. Statistical significance was assessed by Recurrent mutations included In one of the largest genomic analyses of angiosarcoma to date, we identified recurrent alterations, suggesting potential future therapeutic targets. Show less

Breast cancer (BRCA) ranks among the most frequently diagnosed malignancies worldwide. Immune infiltration plays a critical role in tumor progression and therapeutic response. However, the precise mechanisms underlying immune infiltration in BRCA remain incompletely understood. Machine learning (support vector machine-recursive feature elimination and least absolute shrinkage and selection operator regression) and weighted gene co-expression network were utilized to screen hub genes. An immune infiltration assessment was carried out via TIMER and CIBERSORT. The prognostic and survival of risk model and immune infiltration-associated hub genes were analyzed through Kaplan-Meier survival analysis, Cox regression, and ROC curve evaluation. Cell functional assays and xenograft models in vivo were utilized to examine lipoprotein lipase (LPL) function. The impact of LPL on macrophage polarization was evaluated using THP-1-derived macrophages and immunohistochemistry analysis of immune infiltration (CD4, CD8, and F4/80) in vivo. 10 hub immune regulators were identified in BRCA, which were associated with lipid metabolism. Hub genes and a prognostic risk model exhibited high predictive accuracy for BRCA patient survival and prognosis. Overexpression of LPL inhibited BRCA cell proliferation, migration, and invasion while promoting M1-like macrophage polarization. In vivo, LPL overexpression significantly suppressed tumor growth and enhanced immune cell infiltration, as indicated by the elevation of CD4 + and F4/80 + cells along with a decline in CD8 + macrophage abundance. This study identifies a novel lipid metabolism-related gene signature and demonstrates that LPL overexpression modulates macrophage polarization and inhibits BRCA progression. Show less