📋 Browse Articles

Breast cancer (BC) is one of the most prevalent malignant diseases affecting women. Cytochrome c (Cyt c) plays a critical role in various pathological processes, however, its precise mechanism in BC remains unclear. This study aimed to identify prognostic genes linked to Cyt c in BC and explore their underlying mechanisms. Transcriptome data related to BC were initially obtained from TCGA and GEO database. Prognostic genes were identified through differential expression analysis, univariate Cox regression, and LASSO analysis. A risk model was subsequently developed and validated. Additionally, enrichment analysis, immune microenvironment analysis, and the construction of a TFs-mRNA network were conducted. Finally, the expression levels of prognostic genes were examined in both tumor and normal tissue samples, with confirmation through RT-qPCR. Eight prognostic genes ( Show less

Lipid profiles are largely determined by genetic variants, and lipid metabolism plays a crucial role in Alzheimer's disease. To investigate whether lipid profile variability in response to diverse statins could be affected by cholesterol metabolism-related genetic variants in Alzheimer's disease.. This prospective observational pharmacogenetic study was conducted at the Universidade Federal de São Paulo (Unifesp), Brazil. Consecutive outpatients were prospectively followed for lipid profile variations over one year, estimated by the associations between statin therapy and the following variants: rs2695121 (NR1H2), rs3846662 (HMGCR), rs11669576 (LDLR8), rs5930 (LDLR10), rs5882 and rs708272 (CETP), rs7412 and rs429358 (APOE), and ACE insertion/deletion polymorphism. All polymorphisms in the 189 patients were in Hardy-Weinberg equilibrium. Statins resulted in lower total cholesterol and LDL cholesterol levels, whereas the effects on HDL cholesterol varied according to the statin used. Atorvastatin resulted in lower triglyceride level variations than simvastatin. APOE-ε4 carriers showed a better response to atorvastatin in elevating HDL-cholesterol than APOE-ε4 non-carriers. Carriers of the ACE insertion allele had cumulatively lower total cholesterol and LDL-cholesterol levels, regardless of statin therapy, but lower triglyceride levels when using atorvastatin. Carriers of rs11669576-G had lower total cholesterol and LDL-cholesterol levels when using simvastatin, and lower total cholesterol and triglycerides when using atorvastatin. Concerning CETP haplotypes, carriers of rs5882-A and rs708272-A benefitted the most from statins, which lowered total cholesterol and increased HDL-cholesterol levels, and from atorvastatin lowering triglycerides; however, the effects of atorvastatin lowering total cholesterol and LDL-cholesterol were more pronounced for carriers of rs5882-GG/rs708272-GG. Lipid profile variations may be pharmacogenetically mediated in Alzheimer's disease, thus, confirming their high heritability. Show less

Cardiac hypertrophy is an independent risk factor and the primary predictor of heart failure (HF). Mitochondria are crucial for the shift from hypertrophy to heart failure. The expression of fibroblast growth factor 21 (FGF21), a cardioprotective factor, is increased in patients with cardiac hypertrophy but fails to prevent heart failure. Additionally, the molecular mechanism through which FGF21 exerts its beneficial effects on hypertrophic myocardial mitochondria remains unclear. Our study investigated the effect of FGF21 on cardiac hypertrophy, elucidating its mechanism of action through the enhancement of mitophagy-mediated cardioprotection. A transverse aortic constriction (TAC) model and a phenylephrine (PE) model were applied to explore the effect and mechanism of FGF21. P62-mediated mitophagy inducer (PMI) and rapamycin (Rapa) were used to confirm that FGF21-regulated mitophagy under overload pressure conditions. FGF21 knockout markedly exacerbated TAC-induced cardiac function damage, mitochondrial damage, and mitophagy impairment. In vitro, FGF21 knockdown aggravated PE-induced cardiomyocyte hypertrophy and mitophagy dysfunction. FGF21 treatment promoted mitophagy in the TAC and PE models, but this effect was abolished in the absence of PTEN-induced putative kinase 1 (PINK1). The increase in PINK1 expression induced by Rapa can rescue impaired cardiac function and mitophagy impairment in FGF21-deficient TAC mice. Similarly, PMI enhances mitophagy, which inhibits damage to cardiac functions. A further study revealed that the expression of fibroblast growth factor receptor 1 (FGFR1) and FGF21 was opposite in heart failure. Knockdown of FGFR1 inhibited FGF21-mediated mitophagy. FGF21 promotes PINK1-mediated mitophagy to attenuate cardiac hypertrophy, and mismatched FGFR1 expression may hamper the beneficial effect of FGF21 on cardiac hypertrophy. Show less

Taxonomic analysis of environmental microbial communities is now routinely performed thanks to advances in DNA sequencing. Determining the role of these communities in global biogeochemical cycles requires the identification of their metabolic functions, such as hydrogen oxidation, sulfur reduction, and carbon fixation. These functions can be directly inferred from metagenomics data, but in many environmental applications metabarcoding is still the method of choice. The reconstruction of metabolic functions from metabarcoding data and their integration into coarse-grained representations of biogeochemical cycles remains a difficult bioinformatics problem today. We developed a pipeline, called Tabigecy, which exploits taxonomic affiliations to predict metabolic functions constituting biogeochemical cycles. In a first step, Tabigecy uses the tool EsMeCaTa to predict consensus proteomes from input affiliations. To optimize this process, we generated a precomputed database containing information about 2404 taxa from UniProt. The consensus proteomes are searched using bigecyhmm, a newly developed Python package relying on Hidden Markov Models to identify key enzymes involved in metabolic function of biogeochemical cycles. The metabolic functions are then projected on coarse-grained representation of the cycles. We applied Tabigecy to two salt cavern datasets and validated its predictions with microbial activity and hydrochemistry measurements performed on the samples. The results highlight the utility of the approach to investigate the impact of microbial communities on biogeochemical processes. The Tabigecy pipeline is available at https://github.com/ArnaudBelcour/tabigecy. The Python package bigecyhmm and the precomputed EsMeCaTa database are also separately available at https://github.com/ArnaudBelcour/bigecyhmm and https://doi.org/10.5281/zenodo.13354073, respectively. Show less

Clinical guidelines recommend the use of statins to reduce portal pressure and alleviate portal hypertension (PH). However, there is a lack of population-level studies on the use of non-statin Low-Density Lipoprotein Cholesterol (LDL-c) reduction agents for the treatment of PH. This study utilized a novel method, Mendelian Randomization (MR) analysis, to investigate the impact of commonly used LDL-c-lowering medications on PH. Instrumental variables (IVs) for eight lipid-lowering drug-related genes were extracted from three large-scale LDL-c databases of Genome-Wide Association Studies (GWAS), followed by MR analysis. The MR results indicated that, compared to normal individuals, lower expression of CETP and NPC1L1 in whole blood (result of meta-analysis: CETP [OR: 0.322, 95%CI:0.130-0.795, P = 1.396e-02], NPC1L1 [OR: 0.057, 95%CI: 0.022-0.146, P = 2.670e-09]) is associated with reduced portal pressure. The IVs of target genes were subjected to MR analysis with coronary atherosclerosis (CAD) as a positive control, confirming that the IVs can effectively substitute for the biological function of the target gene, thereby further enhancing the reliability of the results. Subsequently, Summary-based Mendelian Randomization (SMR) analysis was conducted by using expression quantitative trait loci (eQTL) data to validate the results of the MR analysis. The SMR results suggested that only NPC1L1 is associated with PH (OR: 0.648, 95%CI: 0.472-0.891, P Show less

Feed is very important for fish farming. The appropriate composition and proportion of feed ingredients can promote the growth of fish, maintain normal physiology and behavior, and even improve the resistance ability to disease and stress, etc. The core of artificial compound feed (ACF) is the composition and proportion of lipid, protein, and carbohydrate, which are also the main nutritional components required by fish. Appropriate levels and ratios can promote fish growth and save costs, and the improper would affect the biological clock systems of fish, leading to metabolic abnormalities. This study explored the preparation of ACF for H. kuda. The composition and proportion of the three main nutrients in ACF were screened based on the synchronicity between six pairs of clock genes (Clock, Bmal1, Per1, Per2, Per3, Cry1, and Cry2) in the central and peripheral clock systems, as well as the expression of eight lipid-metabolism genes (Hmgcr, Mvk, Mvd, Lss, Fdps, Cetp, Scap, Srebp1, Srebp2) in the liver and their synergy with liver clock genes. The results showed that, based on several parameters such as gene expression cycle, relative expression level, and top phase appearance time, the best synergy between the central and peripheral circadian clock systems was observed in ACF with crude fat content of 8.80%, crude protein content more than 38.4%, and carbohydrate content of 23.5%. Based on the expression relationship between lipid metabolism genes and circadian clock genes in the liver, it was further clarified that the optimal levels of fat, protein, and carbohydrate were determined with 8.80%, 38.4%, and 23.5%, respectively. After 4 weeks of breeding validation, compared with frozen Mysis, the screened ACF fed for H. kuda showed significant advantages in body length specific growth rate (SGR Show less

Cancer is a major public health concern, particularly among middle-aged and elderly populations, who are disproportionately affected by rising cancer incidence. Environmental pollution has been identified as a significant risk factor for cancer development. China's Carbon Emission Trading Policy (CETP), implemented in pilot regions since 2013, aims to reduce carbon emissions and improve air quality. This study evaluates the impact of CETP on pan-cancer incidence, with a focus on its effects on specific cancer types and vulnerable populations. This quasi-natural experiment utilized data from the China Health and Retirement Longitudinal Study (CHARLS) and environmental data from the China National Environmental Monitoring Center (2011-2018). A staggered difference-in-differences (DID) model was employed to estimate the impact of CETP on cancer incidence. Robustness tests, including parallel trend tests, placebo analysis, and entropy balancing, validated the findings. Subgroup analyses were performed to assess the policy's heterogeneous effects based on gender, Body Mass Index (BMI), and smoking status. CETP implementation significantly reduced the incidence of six cancer types: endometrial, cervical, gastric, esophageal, breast, and lung cancers. Overall, pan-cancer incidence significantly declined post-policy implementation (CETP × POST: -47.200, 95% CI: [-61.103, -33.296], p < 0.001). The policy demonstrated stronger effects in highly polluted areas and among individuals with poorer mental health. Subgroup analysis revealed that females, individuals with lower BMI, and non-smokers experienced more substantial benefits. CETP significantly reduces cancer incidence by improving environmental quality and influencing mental health, with particularly strong effects observed among high-risk populations. This study highlights the important role of environmental economic policies in mitigating cancer burden and promoting public health. Future research should further explore the long-term impacts of this policy and its applicability across different national and regional contexts. Show less

The human genetic variability mainly involves single nucleotide variants (SNVs) that determine the characteristics among individuals. Some gene variants related to the lipid metabolism have demonstrated their importance to generate susceptibility to some metabolic diseases, such as those in the Cholesterol Ester Transfer Protein (CETP) and Lipoprotein Lipase (LPL) genes. We analyzed the variants rs708272 and rs13702 of the CETP and LPL genes in 540 Mexican Mestizos (admixed) and Mexican Native Americans, respectively. The SNVs were analyzed by qPCR with TaqMan probes. The GeneAlex 6.0, GDA 1.1, and Arlequin 3.0 softwares were used for statistical analysis. Genotype and allele frequencies for these variants in the CETP and LPL genes were estimated. The Analysis of Molecular Variance (AMOVA) including Mexican and worldwide populations from the 1000 genomes project, demonstrated significant genetic heterogeneity for both variants (p-value < 0.0001). Based on previous association studies, we predicted the genetic risk to cardiovascular diseases in global populations using combined high-risk allele frequencies (TT + TT), whose prevalence was larger in Native Americans than Mestizos (21.6 vs 11.7%; p = 0. 044). Globally, Peru showed the largest prevalence (21%) and African populations the lowest (1%). Based on the rs13702 and rs708272 gene variants, the highest predicted genetic risk levels for cardiovascular diseases is related to populations with high Native American ancestry, such as those from Latin America, especially when combined with obesogenic habits. Understanding genetic distribution of these variants in Mexican population could suggest an integral intervention for the management of cardiovascular diseases. Show less

Chikungunya virus (CHIKV), a mosquito-borne alphavirus, causes significant global morbidity, including fever, rash, and persistent arthralgia. Utilizing untargeted lipidomics, we investigated how CHIKV infection alters host cell lipid metabolism in Vero cells. CHIKV infection induced marked catabolism of hexosylceramides, reducing their levels while increasing ceramide byproducts. Functional studies revealed a reliance on fatty acid synthesis, β-oxidation, and glycosphingolipid biosynthesis. Notably, inhibition of uridine diphosphate glycosyltransferase 8 (UGT8), essential for galactosylceramide production, significantly impaired CHIKV replication and entry in Vero cells. Sensitivity of CHIKV to UGT8 inhibition was reproduced in a disease-relevant cell line, mouse hepatocytes (Hepa1-6). CHIKV was also sensitive to evacetrapib, a cholesterol ester transfer protein (CETP) inhibitor, though the mechanism of inhibition appeared independent of CETP itself, suggesting an off-target effect. These findings highlight specific lipid pathways, particularly glycosphingolipid metabolism, as critical for CHIKV replication and further refine our understanding of how CHIKV exploits host lipid networks. This study provides new insights into CHIKV biology and suggests that targeted investigation of host lipid pathways may inform future therapeutic strategies. Show less

Diabetes mellitus (DM) and tuberculosis (TB) are two global health challenges that significantly impact population health, with DM increasing susceptibility to TB infections. However, early risk prediction methods for DM patients complicated with TB (DM-TB) are lacking. This study mined transcriptome data of DM-TB patients from the GEO database (GSE181143 and GSE114192) and used differential analysis, weighted gene co-expression network analysis (WGCNA), intersecting immune databases, combined with ten machine learning algorithms, to identify immune biomarkers associated with DM-TB. An early alert model for DM-TB was constructed based on the identified core differentially expressed genes (DEGs) and validated through a prospective cohort study and reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) for gene expression levels. Furthermore, we performed a detailed immune status analysis of DM-TB patients using the CIBERSORT algorithm. We identified 1090 DEGs associated with DM-TB and further pinpointed CETP (cholesteryl ester transfer protein) (AUC = 0.804, CI: 0.744-0.864), TYROBP (TYRO protein tyrosine kinase binding protein) (AUC = 0.810, CI: 0.752-0.867), and SECTM1 (secreted and transmembrane protein 1) (AUC = 0.811, CI: 0.757-0.864) as immune-related biomarkers for DM-TB patients. An early alert model was developed based on these three genes (AUC = 0.86, CI: 0.813-0.907), with a sensitivity of 0.80829 and a specificity of 0.75758 at a Youden index of 0.56587. External validation using the GSE114192 dataset showed an AUC of 0.901 (CI: 0.847-0.955). Population cohort research and RT-qPCR verified the expression levels of these three genes, demonstrating consistency with trends seen in the training set. KEGG enrichment analysis revealed that NF-κB and MAPK signaling pathways play crucial roles in the DM-TB pathogenic mechanism, and immune infiltration analysis showed significant suppression of certain adaptive immune cells and activation of inflammatory cells in DM-TB patients. This study identified three potential immune-related biomarkers for DM-TB, and the constructed risk assessment model demonstrated significant predictive efficiency, providing an early screening strategy for DM-TB. Show less

[D APOE*3-Leiden.CETP mice were treated with saline, acyl-ExD3 or acyl-ExF1 via intraperitoneal injections for 6 weeks or intracerebroventricular infusion for 18 days. Body weight and composition were monitored at regular intervals, as were plasma glucose, triglyceride and cholesterol levels. At endpoint, mice were injected with very low-density lipoprotein (VLDL)-like particles containing glycerol tri[ Upon peripheral treatment, body weight gain was prevented and plasma glucose levels were reduced by acyl-ExF1, but circulating lipids were not affected by either acyl-ExF1 or acyl-ExD3. In contrast, central administration of either agonist strongly reduced plasma triglyceride and cholesterol levels, but did not affect glucose levels. Acyl-ExD3 and acyl-ExF1 increased [ The oppositely biased GLP-1 receptor agonists acyl-ExD3 and acyl-ExF1 do not differentially affect lipid metabolism in APOE*3-Leiden.CETP mice, while effects on glucose homeostasis and prevention of body weight gain are more pronounced upon peripheral acyl-ExF1 treatment. Show less

Cardiovascular disease is a major global health issue, and atherosclerosis is a leading cause of cardiovascular conditions. Traditional approaches for managing atherosclerosis have limitations, creating a need for alternative preventive strategies such as vaccines. The authors conducted a systematic review following Cochrane Handbook and PRISMA guidelines. They searched multiple databases for studies on preventive vaccines against atherosclerosis, including clinical trials and experimental models. The search period was from 1950 to August 2024. After screening and evaluation, 47 studies were included in the systematic review. The studies investigated various vaccine candidates and immunization strategies. Vaccination goals involve targeting proteins that are found in higher quantities in individuals with atherosclerosis, such as oxidized low-density lipoprotein (LDL), apolipoprotein B-100, proprotein convertase subtilisin/kexin type-9 serine protease (PCSK9), cholesteryl ester transfer protein (CETP), and heat shock proteins HSP60 and HSP65. The review highlights the potential of vaccines in preventing atherosclerosis by targeting specific antigens, modulating lipoprotein metabolism, and enhancing immune responses. Promising approaches included PCSK9 inhibitors, virus-like particle (VLP)-based vaccines, and gene-editing techniques. Monoclonal antibodies like alirocumab, designed to inhibit PCSK9, were also effective in reducing LDL cholesterol levels. This systematic review provides insights into the progress, challenges, and future directions of preventive vaccine research against atherosclerosis. The findings support the development of effective vaccines to complement existing preventive strategies and reduce the global burden of cardiovascular diseases. It is not applicable. Show less

As vast amounts of data are generated from various sources such as social media, sensors and online transactions, the analysis of Big Data offers organizations the ability to derive insights and make informed decisions. Simultaneously, IoT connects physical devices, enabling real-time data collection and exchange that transforms interactions within smart homes, cities and industries. The intersection of these fields is essential, leading to innovations such as predictive maintenance, real-time traffic management and personalized solutions. Utilizing a dataset of 8159 publications sourced from the Web of Science database, our research employs Natural Language Processing (NLP) techniques and selective human validation to analyze abstracts, titles, keywords and other useful information, uncovering key themes and trends in both Big Data and IoT research. Six topics are extracted using Latent Dirichlet Allocation. In Topic 1, words like "system" and "energy" are among the most frequent, signaling that Topic 1 revolves around Show less

It was observed that many people in the western coastal belt were found to have a high HDL cholesterol, the cause of which was not known. This study was done to learn about the factors contributing to the high HDL cholesterol in these patients and its effect on ASCVD risk. In this prospective, case control study, 150 patients were recruited, of which 63 were cases (patients with high HDL cholesterol), and 87 were controls (patients with normal HDL cholesterol). Details regarding their diet, sea-food consumption, habits, comorbidities, daily activity (using GPAQ questionnaire), and blood reports were collected. ASCVD risk score was calculated using an online ASCVD risk estimator. Blood samples of 96 patients (cases 40, controls 56) was tested for cholesterol esterase transfer protein (CETP) levels using ELISA, and the results were compared. Patients with high HDL cholesterol were found to be physically more active and had median metabolic equivalent (METs) of 4680 (1200, 8580) compared with controls with median METs of 1680 (720, 5580), P-0.013. Cases had a lower mean BMI 23.09(SD-3.69), than in patients with normal HDL cholesterol with a mean of 24.41(SD-4.01), P-0.04. Cases also had a lower triglyceride level (91(69,118) in cases vs 121 (80,151) in controls, P-0.002. Alcohol and sea food consumption had no role on HDL levels in this study. The median CETP level was lower in patients with high HDL levels, 0.336(0.08, 0.336) versus 1.435(0.061, 2.893) in the control group although not statistically significant. Patients with high HDL cholesterol were found to have a significantly lower median 10-year ASCVD risk score 3.05 (0.6, 8.95), compared with patients with normal HDL 6.45 (2.7,14.2). Patients with high HDL cholesterol were found to be physically more active, had a lower BMI, a lower triglyceride level, and a lower ASCVD risk compared with controls. They also had a lower CETP level. Further research will be required to determine the normal CETP level in Indian population, their genetic makeup, and whether it has a role in cardiovascular protection. Show less

Cellular senescence is a hallmark for cancers, particularly in lung adenocarcinoma (LUAD). This study developed a risk model using senescence signature genes for LUAD patients. Based on the RNA-seq, clinical information and mutation data of LUAD patients collected from the TCGA and GEO database, we obtained 102 endotheliocyte senescence-related genes. The "ConsensusClusterPlus" R package was employed for unsupervised cluster analysis, and the "limma" was used for the differentially expressed gene (DEG) analysis. A prognosis model was created by univariate and multivariate Cox regression analysis combined with Lasso regression utilizing the "survival" and "glmnet" packages. KM survival and receiver operator characteristic curve analyses were conducted applying the "survival" and "timeROC" packages. "MCPcounter" package was used for immune infiltration analysis. Immunotherapy response analysis was performed based on the IMvigor210 and GSE78220 cohort, and drug sensitivity was predicted by the "pRRophetic" package. Cell invasion and migration were tested by carrying out Transwell and wound healing assays. According to the results, a total of 32 genes related to endotheliocyte senescence were screened to assign patients into C1 and C2 subtypes. The C2 subtype showed a significantly worse prognosis and an overall higher somatic mutation frequency, which was associated with increased activation of cancer pathways, including Myc_targets2 and angiogenesis. Then, based on the DEGs between the two subtypes, we constructed a five-gene RiskScore model with a strong classification effectiveness for short- and long-term OS prediction. High- and low-risk groups of LUAD patients were classified by the RiskScore. High-risk patients, characterized by lower immune infiltration, had poorer outcomes in both training and validation datasets. The RiskScore was associated with the immunotherapy response in LUAD. Finally, we found that potential drugs such as Cisplatin can benefit high-risk LUAD patients. In-vitro experiments demonstrated that silencing of Angiopoietin-like 4 (ANGPTL4), Gap Junction Protein Beta 3 (GJB3), Family with sequence similarity 83-member A (FAM83A), and Anillin (ANLN) reduced the number of invasive cells and the wound healing rate, while silencing of solute carrier family 34 member 2 (SLC34A2) had the opposite effect. This study, collectively speaking, developed a prognosis model with senescence signature genes to facilitate the diagnosis and treatment of LUAD. Show less

Excessive hepatic lipid accumulation is the hallmark of metabolic dysfunction-associated steatotic liver disease (MASLD), yet its underlying mechanisms still not fully understood. In this study, we identified RNA binding motif protein 39 (Rbm39) as a key modulator of hepatic lipid homeostasis during MASLD progression. To establish in vivo MASLD model, mice were fed either a high-fat diet (HFD) or a Gubra-Amylin NASH (GAN) diet. We employed adeno-associated virus to manipulate Rbm39 expression levels to assess its role in MASLD. Transcriptome analysis was conducted to pinpoint the genes targeted by Rbm39. Western blot, RT-PCR, dual-luciferase reporter gene assays, and alternative splicing analysis were utilized to delve into the molecular mechanisms. Our results showed that Rbm39 expression was notably decreased in the livers of MASLD mice. Knockdown of hepatic Rbm39 aggravated HFD-induced hepatic steatosis and GAN diet-induced MASH, along with a notable decrease in serum lipid levels. Conversely, overexpression of Rbm39 attenuated MASLD development and progression. RNA sequencing data analysis indicated that Rbm39 regulated the expression of apolipoprotein B (Apob) and fatty acid-binding protein 4 (Fabp4), both of which are crucial for lipid transport. Mechanistically, Rbm39 enhanced the transcription of Apob by upregulating hepatocyte nuclear factor 4α (Hnf4α), while it suppressed Fabp4 transcription by regulating alternative splicing of hypoxia inducible factor-1α (Hif-1α). These findings highlight the pivotal role of Rbm39 in maintaining hepatic lipid homeostasis and suggest its potential as a therapeutic target for MASLD. Show less

Atherosclerosis is the major cause of cardiovascular disease. This study evaluated the effect of lipid lowering using a novel peptide inhibiting proprotein convertase subtilisin/kexin type 9 (PCSK9) and a monoclonal antibody against angiopoietin-like 3 (evinacumab), either alone or in combination in APOE∗3-Leiden.CETP mice fed a Western diet. Effects on body weight, plasma lipids, atherosclerotic lesion size, severity, composition, and morphology were assessed. Treatment with PCSK9 inhibitory peptide significantly decreased both cholesterol and triglycerides (-69% and -68%, respectively). Similar reductions were seen in evinacumab-treated mice (-44% and -55%, respectively). The combination of evinacumab and PCSK9 inhibitory peptide lowered these levels to a larger extent than evinacumab alone (cholesterol: -74%; triglycerides: -81%). Reductions occurred in non-HDL-C without changes in HDL-C. Atherosclerotic lesion size was significantly reduced in all treatment groups compared to vehicle controls (evinacumab: -72%; PCSK9 inhibitory peptide: -97%; combination: -98%). Similarly, all interventions improved atherosclerotic lesion severity, with more undiseased segments and fewer severe lesions. Evaluation of the composition of severe atherosclerotic plaques revealed significant improvement in lesion stability in mice treated with both evinacumab and PCSK9 inhibitory peptide, attributable to decreased macrophage content and increased collagen content. Additionally, evaluation of lipid concentrations in cynomolgus monkeys revealed the beneficial effects of the PCSK9 inhibitory peptide on total cholesterol and LDL-C levels. Treatment with a novel PCSK9 inhibitory peptide alone or with evinacumab shows great potential to reduce and stabilize atherosclerotic lesions. Show less

Cholesteryl ester transfer protein (CETP) plays a key role in lipoprotein metabolism, and its activity has been linked to the risk of atherosclerosis (AS). CETP inhibitors, such as obicetrapib, represent a novel approach in immunotherapy to reduce the risk of atherosclerotic cardiovascular disease (ASCVD) by targeting lipid metabolism. In addition, CETP vaccines are being explored as a novel strategy for the prevention and treatment of ASCVD by inducing the body to produce antibodies against CETP, which is expected to reduce CETP activity, thereby increasing high-density lipoproteins (HDL) levels. This paper provides a comprehensive overview of the structure of CETP, the mechanisms of lipid transfer and the progress of immunotherapy in the last decade, which provides possible ideas for future development of novel drugs and optimization of immunization strategies. Show less

Observational studies suggest that blood lipids are a risk factor for uterine fibroids (UFs) and that lipid-lowering drugs are beneficial for the treatment and prevention of UF; however, the conclusions are inconsistent. We aimed to determine the causal effects of lipids and lipid-lowering drugs on UFs using Mendelian randomization (MR). Genetic variants from genome-wide association studies (GWAS) of lipid traits and variants in genes encoding lipid-lowering drug targets were extracted, and two independent UF GWAS were set as the outcome. Their effects on UF risk and related traits were estimated using the inverse variance weighted method. The MR analysis revealed that high density lipoprotein cholesterol (HDL-C, OR = 0.88, 95 % CI: 0.83-0.93, P = 3.58E-6) and triglycerides (TG, OR = 1.14, 95 % CI: 1.07-1.21, P = 6.83E-5) were protective factors and risk factors for UF, respectively. Drug-targeted MR analysis results indicated that genetically predicted inhibition of cholesteryl ester transfer protein (CETP) was associated with a lower UF risk (OR = 0.95, 95 % CI: 0.92-0.98, P = 7.83E-4), as well as reduced levels or risk of other UF-associated clinical traits, including estradiol level, excessive menstruation, abdominal and pelvic pain, myomectomy, and miscarriage. Our study provides evidence that HDL-C and TG levels were causally associated with UF risk. Genetically proxied CETP inhibition may have a protective effect against UF, which warrants further investigation. Show less

The liver plays a crucial role in maintaining lipid homeostasis by converting toxic free fatty acids into VLDL, which the body uses for energy. Even minor changes in VLDL formation and secretion can result in serious health conditions such as atherosclerosis and non-alcoholic fatty liver disease. Despite the importance of VLDL, the proteins and signaling pathways involved in its regulation remain largely unknown. This study aims to develop a novel methodology to study intracellular VLDL transport events and explore the role of liver fatty acid-binding protein (LFABP) in VLDL transport and secretion. Current methods to study VLDL are often tedious, time-consuming, and expensive, underscoring the need for an alternative approach. We designed a new immunofluorescence-based assay to track the formation and secretion of VLDL in cells over time using fluorescently tagged TopFluor oleic acid. Confocal microscopy confirmed that TopFluor oleic acid enters hepatocytes and colocalizes with the ER, Golgi, and plasma membrane. Additionally, the collection of cell culture media revealed that TopFluor was incorporated into VLDL particles, as confirmed by fluorescence readings and ApoB100 immunoblots. This novel assay provides a valuable tool for further research into the mechanisms of VLDL regulation and the development of potential therapeutic targets for related diseases. Utilizing this assay, we identified LFABP as a key regulatory protein in post-Golgi VLDL trafficking. Our data suggest that LFABP plays a crucial role in this process, and its functional impairment leads to reduced VLDL secretion. Show less

This review explores the roles of interleukin-30 (IL-30) and interleukin-27 (IL-27) in inflammation and autoimmune diseases, with a focus on psoriasis. The two coexisting cytokines should be analysed in conjunction as their actions are antagonistic Show less

Atherosclerotic cardiovascular disease (ASCVD) is a leading global cause of death. Although statins are the foundation of lipid-lowering therapy, many high-risk patients fail to achieve low-density lipoprotein cholesterol (LDL-C) targets due to intolerance or insufficient response. Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors have emerged as potent agents that address this residual risk. This review summarizes the clinical efficacy, safety, and mechanistic role of PCSK9 inhibitors in cardiovascular risk reduction. Relevant randomized trials, meta-analyses, and observational studies were analyzed, alongside emerging nonstatin therapies including bempedoic acid, inclisiran, and Angiopietin-like 3 inhibitors. PCSK9 inhibitors, such as alirocumab and evolocumab, have shown LDL-C reductions of up to 62% and significant decreases in major adverse cardiovascular events. Trials like Further cardiovascular outcomes research with PCSK9 inhibition in subjects With elevated risk (FOURIER) and Evaluation of cardiovascular outcomes after an acute coronary syndrome during treatment with alirocumab (ODYSSEY OUTCOMES) reported relative risk reductions of 15-24% in select populations. These agents also reduce lipoprotein(a) (Lp(a)) and stabilize atherosclerotic plaques. Additional therapies like inclisiran and bempedoic acid further expand treatment options, particularly for statin-intolerant patients. PCSK9 inhibitors offer a well-tolerated and effective approach to lowering LDL-C and mitigating cardiovascular risk. Their integration, along with emerging therapies, provides a comprehensive strategy to address residual ASCVD risk and improve patient outcomes. This review highlights the pivotal role of PCSK9 inhibitors in achieving significant LDL-C reduction and improving cardiovascular outcomes, especially in high-risk and statin-intolerant populations. By also targeting Lp(a) and promoting plaque stabilization, these agents address multiple contributors to residual ASCVD risk. Incorporating PCSK9 inhibitors and emerging nonstatin therapies into clinical practice offers a powerful strategy to enhance long-term cardiovascular prevention. Show less

Inflammatory bowel disease (IBD) with the two predominant endophenotypes-Crohn's disease (CD) and ulcerative colitis (UC)-represents a group of chronic gastrointestinal inflammatory conditions. Since most genetic associations with IBD are often limited to independent subtypes, we reported a genome-wide association study (GWAS) cross-trait analysis combined with CD and UC to enhance statistical power. Initially, we detected 256 association signals at 54 genomic susceptibility loci and further characterized the functionality of variants within these regions. Subsequently, we revealed tissue and cell-specific heritability enrichment, particularly in whole blood, small intestine terminal ileum, spleen, lung, and colon transverse. Leveraging multi-omics datasets, we adopted a two-pronged approach comprising summary data-based Mendelian randomization (SMR) and transcriptome-wide association study (TWAS) to pinpoint likely causal genes and variants. Further, RNA-seq analysis facilitated the evaluation of differential expression and co-expression in intestinal tissues. Through a multi-stage prioritization strategy, compelling evidence for putative targets was nominated; notably highlighting several potential susceptibility genes such as IL27 and SBNO2. Finally, we utilized Mendelian randomization (MR) analysis with diverse datasets to verify the convergence of these two endophenotype-driven genes. Our investigation yields valuable insights to inform genetic mechanisms in IBD and reveal potential causal gene targets. Show less

Alpha-enolase (ENO1), the enzyme catalyzing 2-phosphoglycerate conversion to phosphoenolpyruvate, is highly expressed in diffuse large B-cell lymphoma (DLBCL) and correlates with adverse clinical outcomes. Thus, understanding the relationship between ENO1-related gene (ERG) network and DLBCL is imperative. Here, we integrated multi-omics profiling (RIP-seq, RNA-seq, and protein interactome analysis) to identify ERGs and established a prognostic model by machine learning algorithms. We identified eleven hub genes (CHERP, SYNE2, INTS1, FAP, MMP9, LRP5, RBM8A, PRMT5, SLC25A6, PABPC4, PSTPIP2) using RNA sequencing, RNA immunoprecipitation sequencing, and protein interaction profiling. A prognostic model was constructed using univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression in the GSE10846 dataset and validated in two independent cohorts. DLBCL patients were stratified into high- and low-risk groups based on the model, and clinical characteristics were compared. The tumor immune microenvironment (TIME) was analyzed using CIBERSORT and xCell algorithms to explore correlations with the ERG score. Drug sensitivity assays in DLBCL cell lines were performed to validate the model's predictive capacity for chemotherapy response. Furthermore, the functional role of PABPC4, a key gene in the scoring system, was investigated through A prognostic model including 11 hub genes was established. Patients in the high-risk group exhibited worse clinical outcomes and an immunosuppressive TIME, characterized by altered expression of immune checkpoint-related proteins. This group demonstrated increased sensitivity to vincristine, etoposide, and oxaliplatin. Knockdown of PABPC4 significantly inhibited cell proliferation, reduced colony formation, and delayed tumor growth The ERG scoring system offers a robust and precise tool for predicting survival and guiding personalized treatment in DLBCL patients. Show less

Alzheimer's disease (AD) is an irreversible age-related neurodegenerative condition characterized by the deposition of amyloid-β (Aβ) peptides and neurofibrillary tangles. Di Huang Yi Zhi (DHYZ) formula, a traditional Chinese herbal compound comprising several prescriptions, demonstrates properties that improve cognitive abilities in clinical. Nonetheless, its molecular mechanisms on treating AD through improving neuron cells mitochondria function have not been deeply investigated. This study administered DHYZ to APP/PS1 mice to explore its potential therapeutic mechanisms in AD treatment. APP/PS1 transgenic mice were given DHYZ (L, M, H), donepezil, or distilled water for a consecutive 12-week period. The Morris water maze test was used to assess memory capacity, transmission electron microscopy was used to observe mitochondrial and synaptic structures, immunohistochemistry and western blot detected proteins involved in the mitochondrial autophagy pathway, ELISA measured serum Aβ content, and terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling assessed neuronal cell apoptosis. DHYZ demonstrates a notable therapeutic impact on mice with AD, effectively improving cognitive and memory impairments. DHYZ decreases Aβ accumulation in the hippocampus by reducing BACE1 activity and enhancing Aβ clearance through the blood-brain barrier. Additionally, DHYZ significantly suppresses neuronal apoptosis, enhances synaptic structure, and increases synapse numbers, processes strongly linked to the activation of mitochondrial PINK1-Parkin autophagy. DHYZ enhances cognitive function in APP/PS1 mice by stimulating neuronal mitochondrial autophagy through the PINK1-Parkin pathway. Show less

Patients with liver cirrhosis may show minimal hepatic encephalopathy (MHE) triggered by a shift in peripheral inflammation. A main mechanism by which peripheral alterations are transmitted to the brain is the infiltration of extracellular vesicles (EV). Hyperammonemic rats are a model of MHE that reproduces cognitive impairment. Injection of EV from plasma or peripheral blood mononuclear cells (PBMC) of hyperammonemic rats to normal rats induces neuroinflammation, alterations in neurotransmission, and cognitive impairment. PBMC contain different cell types. The aims were 1) to identify which cell type produces the pathological EV in hyperammonemic rats; 2) to identify the mechanisms by which hyperammonemia increases EV release from monocytes and induces the formation of pathological EV; and 3) to analyze the role of TNFα and PKA in these mechanisms. EV were isolated from primary cultures of CD4 In hyperammonemic rats, monocytes but not CD4 These data unveil that monocytes produce the pathological EV in hyperammonemia and the underlying mechanisms and provide the bases for new treatments to improve cognitive and motor function in hyperammonemia and MHE. Show less

Myxoinflammatory fibroblastic sarcoma (MIFS) is a rare, low-grade sarcoma affecting with predilection the acral soft tissues of middle-aged adults. Clinically, MIFS is associated with a high rate of local recurrence but infrequent distant metastases. The diagnosis remains challenging due to their wide histologic spectrum and overlap with reactive, benign, and low-grade malignant lesions. Moreover, a significant limitation is that molecular confirmation is achieved in only a subset of cases, due to its broad range of genetic alterations which requires a multiplatform approach. Thus, a definitive diagnosis, especially at nonacral sites and in molecularly negative cases, remains uncertain. Our goal was to perform a detailed clinicopathologic and molecular reappraisal of MIFS managed at a single tertiary cancer center with dedicated orthopedic oncology expertise. Additionally, we examined potential outcomes correlating with specific genetic alterations. A cohort of 33 patients (12 males, 21 females, median age 52 years) was selected. Tumors were tested by FISH, Archer, and/or targeted NGS. VGLL3 amplification was detected in 84%, BRAF fusions in 33% and combined TGFBR3/MGEA5 rearrangements in 32% of cases. Two novel fusions were detected, RRAGB::CCNB3 and FGFR1::ZBTB47. Other events included a YAP1::MAML2 fusion in two cases, one co-existing with a BRAF fusion. Overall, 8 (24%) patients recurred, 4 more than once, while 4 (12%) patients developed metastasis (3 locoregional, 1 pulmonary), all associated with VGLL3 gene amplification. Positive margin status was associated with increased recurrence and reduced disease-free survival (DFS, p = 0.02). Moreover, it emphasizes the impact of multiplatform molecular testing in confirming the diagnosis. The lack of both local recurrence and metastatic potential outside VGLL3 amplifications requires further investigation. Show less

Computer vision is increasingly used in farmers' fields and agricultural experiments to quantify important traits. Imaging setups with a sub-millimeter ground sampling distance enable the detection and tracking of plant features, including size, shape, and colour. Although today's AI-driven foundation models segment almost any object in an image, they still fail for complex plant canopies. To improve model performance, the global wheat dataset consortium assembled a diverse set of images from experiments around the globe. After the head detection dataset (GWHD), the new dataset targets a full semantic segmentation (GWFSS) of organs (leaves, stems and spikes) covering all developmental stages. Images were collected by 11 institutions using a wide range of imaging setups. Two datasets are provided: i) a set of 1096 diverse images in which all organs were labelled at the pixel level, and (ii) a dataset of 52,078 images without annotations available for additional training. The labelled set was used to train segmentation models based on DeepLabV3Plus and Segformer. Our Segformer model performed slightly better than DeepLabV3Plus with a mIOU for leaves and spikes of ca. 90 ​%. However, the precision for stems with 54 ​% was rather lower. The major advantages over published models are: i) the exclusion of weeds from the wheat canopy, ii) the detection of all wheat features including necrotic and senescent tissues and its separation from crop residues. This facilitates further development in classifying healthy vs. unhealthy tissue to address the increasing need for accurate quantification of senescence and diseases in wheat canopies. Show less