Dysregulation Of Lipid Metabolism Research Articles

Roles of posttranslational modifications in lipid metabolism and cancer progression

AbstractLipid metabolism reprogramming has emerged as a hallmark of malignant tumors. Lipids represent a complex group of biomolecules that not only compose the essential components of biological membranes and act as an energy source, but also function as messengers to integrate various signaling pathways. In tumor cells, de novo lipogenesis plays a crucial role in acquiring lipids to meet the demands of rapid growth. Increasing evidence has suggested that dysregulated lipid metabolism serves as a driver of cancer progression. Posttranslational modifications (PTMs), which occurs in most eukaryotic proteins throughout their lifetimes, affect the activity, abundance, function, localization, and interactions of target proteins. PTMs of crucial molecules are potential intervention sites and are emerging as promising strategies for the cancer treatment. However, there is limited information available regarding the PTMs that occur in cancer lipid metabolism and the potential treatment strategies associated with these PTMs. Herein, we summarize current knowledge of the roles and regulatory mechanisms of PTMs in lipid metabolism. Understanding the roles of PTMs in lipid metabolism in cancer could provide valuable insights into tumorigenesis and progression. Moreover, targeting PTMs in cancer lipid metabolism might represent a promising novel therapeutic strategy.

Liver knockout of MCU leads to greater dysregulation of lipid metabolism in MAFLD.

Metabolic-associated fatty liver disease (MAFLD) is a common chronic condition that poses a significant threat to human health. Mitochondrial dysfunction, particularly involving the mitochondrial Ca2+ uniporter (MCU), plays a key role in its pathogenesis. This study aimed to investigate the impact of the MCU gene on hepatic lipid metabolism in mice fed a high-fat diet. Using MCU knockout and wild-type mice, subjected to either a high-fat or normal diet for 14weeks, we observed notable Steatosis and liver weight gain in MCU-deficient mice. Liver function markers, serum triglycerides, very low-density lipoprotein (VLDL) levels, and ApoB protein expression were all significantly elevated. Mechanistic studies revealed that MCU deletion led to mitochondrial dysfunction, increased oxidative stress. These findings highlight the critical role of the MCU gene in maintaining hepatic lipid balance and suggest its potential as a therapeutic target for managing nonalcoholic fatty liver disease.

Ketogenesis promotes triple-negative breast cancer metastasis via calpastatin β-hydroxybutyrylation.

Triple-negative breast cancer (TNBC) continues to pose a significant obstacle in the field of oncology. Dysregulation of lipid metabolism, notably upregulated ketogenesis, has emerged as a hallmark of TNBC, yet its role in metastasis has been elusive. Here, by utilizing clinical specimens and experimental models, the study demonstrates that increased ketogenesis fosters TNBC metastasis by promoting the up-regulation of β-hydroxybutyrate (β-OHB), a key ketone body. Mechanistically, β-OHB facilitates β-hydroxybutyrylation (Kbhb) of Calpastatin (CAST), an endogenous calpain (CAPN) inhibitor, at K43, blocking the interaction with CAPN and subsequently promoting FAK phosphorylation and epithelial‒mesenchymal transition (EMT). In conclusion, the study reveals a novel regulatory axis linking ketogenesis to TNBC metastasis, shedding light on the intricate interplay between metabolic reprogramming and tumor progression.

Abstract 4137414: Uncovering MLKL as a Novel Regulator of Endothelial Cells in the Splenic Niche to Repress Hematopoiesis During Atherosclerosis

Background: Atherosclerosis occurs as lipid and immune cell rich plaques deposit within the arterial wall of the heart. These immune cells are produced from hematopoietic stem and progenitor cells (HSPCs) in the bone marrow (BM) and spleen, a process known as hematopoiesis that is dictated by their microenvironment, including endothelial cells (ECs). Objective: While others have shown adverse remodeling of BM ECs during atherogenesis, whether splenic ECs show a similar dysfunction leading to exacerbated hematopoiesis has not been described. Methods: We analyzed RNA sequencing data from chow fed C57Bl/6 mice and high cholesterol diet (HCD) fed Apoe -/- mouse BM and splenic ECs obtained from published studies, as well as our own. In vivo studies were performed in mice on an atherogenic background ( Apoe -/-& Ldlr -/-) fed a HCD for 4 to 16 weeks. Knockdown of the mixed lineage kinase domain-like protein ( Mlkl KD) was achieved by weekly administration of antisense oligonucleotides (ASOs) or scrambled control (50mg/kg sc.). In vitro studies were performed in primary mouse splenic ECs transfected with siRNA. Results: Pathway analysis revealed remarkable tissue-specific responses to an atherogenic milieu, including dysregulation of Lipid Metabolism, Endocytosis and Cell Death pathways in splenic ECs. Interestingly, we previously showed that the mixed lineage kinase domain-like protein (MLKL) regulates the endocytic trafficking of lipids and cell death in macrophages. Indeed using Mlkl KD Apoe -/- mice, transplantation of Mlkl -/- BM into Ldlr -/- mice or EC-specific Mlkl -/- Apoe -/- mice, we show that loss of MLKL drives myelopoiesis and plaque development through regulation of splenic ECs. Both in vivo and in vitro , silencing Mlkl in splenic but not BM ECs potently increased lipid content and disrupted endocytosis by an accumulation of the multivesicular body marker CHMP4B, which mirror the dysregulated pathways we identified above. Furthermore, co-culture with Mlkl KD splenic ECs increased HSPC activation (pStat5) and myeloid colony formation, an effect that was lost when ECs were pre-treated with the upstream endocytosis inhibitor Dynasore. Conclusions: In conclusion, we establish a novel role for MLKL in regulating the balance of HSPCs, specifically through preservation of splenic, but not BM, ECs that repress hematopoiesis, highlighting the importance of splenic lipid metabolism and endocytosis and its impact on atherogenesis.

Insights into the pathogenesis of gestational and hepatic diseases: the impact of ferroptosis

Ferroptosis, a distinct form of non-apoptotic cell death characterized by iron dependency and lipid peroxidation, is increasingly linked to various pathological conditions in pregnancy and liver diseases. It plays a critical role throughout pregnancy, influencing processes such as embryogenesis, implantation, and the maintenance of gestation. A growing body of evidence indicates that disruptions in these processes can precipitate pregnancy-related disorders, including pre-eclampsia (PE), gestational diabetes mellitus (GDM), and intrahepatic cholestasis of pregnancy (ICP). Notably, while ICP is primarily associated with elevated maternal serum bile acid levels, its precise etiology remains elusive. Oxidative stress induced by bile acid accumulation is believed to be a significant factor in ICP pathogenesis. Similarly, the liver’s susceptibility to oxidative damage underscores the importance of lipid metabolism dysregulation and impaired iron homeostasis in the progression of liver diseases such as alcoholic liver disease (ALD), non-alcoholic fatty liver disease (NAFLD), cholestatic liver injury, autoimmune hepatitis (AIH), acute liver injury, viral hepatitis, liver fibrosis, and hepatocellular carcinoma (HCC). This review discusses the shared signaling mechanisms of ferroptosis in gestational and hepatic diseases, and explores recent advances in understanding the mechanisms of ferroptosis and its potential role in the pathogenesis of gestational and hepatic disorders, with the aim of identifying viable therapeutic targets.

Systemic Lipid Metabolism Dysregulation as a Possible Driving Force of Fracture Non-Unions?

Introduction: Non-unions are fractures that do not heal properly, resulting in a false joint formation at the fracture site. This condition leads to major health issues and imposes a burden on national healthcare systems. The etiology of non-unions is still not fully understood; therefore, we aimed to identify potential systemic factors that may contribute to their formation. Materials and methods: We conducted a cross-sectional concomitant proteomic and metabolomic pilot study of blood plasma in patients with non-unions (N = 11) and compared them with patients with bone fracture in the normal active healing phase (N = 12). Results: We found five significantly upregulated proteins in the non-union group: immunoglobulin heavy variable 3–74, immunoglobulin lambda variable 2–18, low-density lipoprotein receptor-related protein 4, zinc-alpha-2-glycoprotein, and serum amyloid A-1 protein; and we found one downregulated protein: cystatin-C. The metabolomic study found differences in alanine, aspartate and glutamate metabolism pathways between two groups. Conclusions: The combined results of proteomic and metabolomic analyses suggest that the dysregulation of lipid metabolism may contribute to non-union formation.

TMET-17. LIPID METABOLIC HETEROGENEITY OF GLIOMA CELLULAR STATES REVEALS ENVIRONMENTAL DEPENDENCIES

Abstract Malignant growth and survival of cancer is supported through reprogrammed lipid metabolism. In gliomas, genetic alterations can drive lipid metabolic dysregulation revealing therapeutic opportunities to exploit lipid metabolic vulnerabilities within genetically defined subsets of glioma tumors. However, it remains unclear whether inter- and intra-tumoral transcriptomic heterogeneity in gliomas relates to distinct lipid programs and potential dependencies. Here we set out to characterize pan-glioma lipid metabolic heterogeneity through genomic, transcriptomic, and lipidomic profiling of a large and diverse cohort of patient tumor samples. We define key axes of lipid metabolic variability across gliomas and identify relationships between lipid metabolic gene expression programs and glioma lipidomic profiles. Intriguingly, intersection of lipid gene expression signatures with single cell RNA sequencing revealed patterns of lipid metabolic heterogeneity that distinguish neurodevelopmental cellular states of gliomas, mirroring patterns of lipid metabolic diversity across cell types within the normal brain. Consequently, tumors with opposing cellular state enrichment have distinct lipid metabolism and environmental dependencies. Tumors enriched for Radial Glia-like states have high capacity for de novo fatty acid synthesis while tumors enriched for oligodendrocyte progenitor-like states are dependent on exogenous sources of lipids for survival and growth. These findings connect inter- and intra-tumoral heterogeneity of cellular states to variability in lipid metabolic reprogramming to reveal future avenues for precision medicine.

The Role of Exosomal miRNAs in Regulating Lipid Metabolism in Obesity-Associated Hyperlipidemia

Obesity-associated hyperlipidemia is a major risk factor for cardiovascular diseases, metabolic syndrome, and other complications. The dysregulation of lipid metabolism in obesity is driven by a complex network of molecular and cellular mechanisms. Among these, exosomal microRNAs (miRNAs) have emerged as key regulators in the communication between adipose tissue, the liver, and other metabolic organs. Exosomes, small vesicles secreted by various cell types, contain miRNAs that can modulate gene expression in recipient cells, thereby influencing lipid metabolism. This review explores the role of exosomal miRNAs in obesity-associated hyperlipidemia, focusing on their mechanisms of action, regulatory functions, and potential therapeutic implications. We highlight specific exosomal miRNAs involved in lipid metabolism pathways, their role in adipogenesis, lipogenesis, and lipid storage, as well as their impact on systemic lipid homeostasis. Additionally, we discuss the potential of targeting exosomal miRNAs as a novel therapeutic approach for managing hyperlipidemia and obesity-related metabolic disorders. Keywords: exosomal miRNAs, lipid metabolism, obesity, hyperlipidemia, adipogenesis, lipogenesis, therapeutic targeting

The correlation between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) with non-alcoholic fatty liver disease: an analysis of the population-based NHANES (2017–2018)

Background/objectiveNon-alcoholic fatty liver disease (NAFLD) encompasses a spectrum of liver disorders, from benign steatosis to more severe conditions like non-alcoholic steatohepatitis, with risks of progressing to fibrosis, cirrhosis, and hepatocellular carcinoma. The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) indicates lipid metabolic dysregulation and is associated with increased risks of various diseases. This study examines the relationship between NHHR and NAFLD to evaluate NHHR as a potential predictive biomarker for NAFLD.MethodsData from the 2017–2018 National Health and Nutrition Examination Survey (NHANES) were used for cross-sectional analysis. After excluding individuals with incomplete data, hepatitis infections, heavy alcohol use, and those under 18, the study included 2,757 adults. The relationship between NHHR and NAFLD was analyzed using multivariable logistic regression, including subgroup analysis and interaction testing.ResultsAmong the 2,757 participants (mean age 49.91 years), 44.9% had NAFLD. NHHR showed a significant positive association with NAFLD, with an unadjusted odds ratio (OR) of 1.71 and a fully adjusted OR of 1.45. Quartile analysis revealed a 228% higher prevalence of NAFLD in the highest NHHR quartile, with an OR of 3.28. This positive association was consistent across various subgroups.ConclusionOur findings suggest that elevated NHHR is positively correlated with the prevalence of NAFLD and possesses predictive value. We recommend that future research validate the clinical utility of NHHR, particularly for early detection of high-risk individuals and guiding personalized interventions.

Triptolide induces hepatotoxicity by promoting ferroptosis through Nrf2 degradation

BackgroundTriptolide (TP), a principal active substance from Tripterygium wilfordii, exhibits various pharmacological effects. However, its potential hepatotoxicity has always been a significant concern in clinical applications.PurposeThis research aimed to explore the involvement of ferroptosis in TP-mediated hepatic injury and the underlying mechanisms.MethodsIn this study, in vitro and in vivo experiments were involved. Hepatocyte damage caused by TP was evaluated using MTT assays, liver enzyme measurement and H&E staining technique. Ferroptosis was assessed by measuring iron level, lipid peroxide, glutathione (GSH), mitochondrial morphology and the key protein/mRNA expression implicated in ferroptosis. To verify the contribution of ferroptosis to TP-induced liver damage, the ferroptosis inhibitor Ferrostatin-1 (Fer-1) and a plasmid for overexpressing glutathione peroxidase 4 (GPX4) were employed. Subsequently, nuclear factor erythroid 2-related factor 2 (Nrf2) knockout mice and Nrf2 overexpression plasmid were utilized to investigate the underlying mechanisms. Nontargeted lipidomics was used to analyze lipid metabolism in mouse liver. Moreover, the cellular thermal shift assay (CETSA), cycloheximide (CHX) and MG132 treatments, and immunoprecipitation (IP) assays were applied to validate the binding of TP to Nrf2 and their interactions.ResultsTP triggered ferroptosis in hepatocytes, as indicated by iron accumulation and lipid peroxidation. Ferroptosis was responsible for TP-induced hepatic injury. During the process of TP-induced liver damage, the Nrf2 signaling pathway was significantly suppressed. Notably, the deletion of Nrf2 in mice aggravated the extent of liver injury and ferroptosis associated with TP, whereas enhancing Nrf2 expression in cells significantly reduced TP-induced ferroptosis. Additionally, dysregulation of lipid metabolism was associated with TP-induced liver injury. TP may directly bind to Nrf2 and enhance its degradation through the ubiquitin–proteasome pathway, thereby inhibiting or reducing Nrf2 expression.ConclusionIn summary, the suppression of Nrf2 by TP facilitated the occurrence of ferroptosis, resulting in liver damage.Graphical abstract

Untargeted Lipidomic Profiling of Amniotic Fluid Reveals Dysregulated Lipid Metabolism in Healthy Normal-Weight Mothers with Fetal Macrosomia

Background: Alterations in maternal lipid metabolism have been elucidated by several studies in relation to macrosomia. However, the lipidome of the intrauterine compartment associated with macrosomia, particularly in early pregnancy, remains largely unknown. Objectives: (1) To compare the lipidomic profile of early 2nd trimester amniotic fluid (AF) of healthy mothers with normal body mass index who gave birth to large-for-gestational age (LGA) versus appropriate-for-gestational age (AGA) infants; and (2) to examine if insulin and glucose concentrations in AF were associated with the AF lipidomic profile. Methods: In this nested case–control study, bio-banked AF samples were collected from pregnant women undergoing routine amniocentesis at 12–22 weeks of gestation. A subsample of 15 LGA infants (cases) were contrasted with 15 AGA infants (controls). An untargeted lipidomics analysis using liquid chromatography quadrupole time-of-flight mass spectrometry was conducted. Univariate and multivariate statistical analyses (principal component analysis and partial least-squares discriminant analysis) were used to extract differentially abundant (DA) features with high variable importance in projection (VIP) scores. Results: LGA AF was characterized by elevations of 30 phosphatidic acid species. Among other DA features, sphingomyelin (SM 14:0;O2/20:1) had the highest VIP score and was markedly elevated in LGA AF. Neither insulin nor glucose was associated with 2nd trimester AF lipidomic profiles in these healthy, normal-weight mothers. Conclusion: These findings provide evidence of early dysregulated lipid metabolism in healthy, normal-weight mothers with LGA infants.

Hidradenitis Suppurativa from a Multi-Omic Scope.

Hidradenitis suppurativa (HS) is recognized as a systemic immune-mediated disease (IMID), sharing genetic and environmental risk factors with other IMIDs such as inflammatory bowel disease and psoriasis. Over time, correlating clinical findings with genetic, proteomic, and metabolomic results has been challenging due to diverse sampling methods, analysis techniques, and the use of variable clinical phenotype descriptions across studies. This review aims to summarize the results from various omics fields to explore the etiopathology of HS. Genetic studies highlight defects in Notch and γ-secretase signaling and inflammasome function. Syndromic HS involves specific mutations in autoinflammatory syndromes such as pyogenic sterile arthritis, pyoderma gangrenosum, and acne (PAPA) and pyoderma gangrenosum, acne, and HS (PASH). Proteomic analyses reveal key inflammatory pathways indicating activation of both innate and adaptive immunity. Additionally, microbiome studies show an increased presence of anaerobes like Prevotella in HS lesions and a decreased presence of commensals such as Staphylococcus epidermidis. Gut microbiota dysbiosis, particularly involving Ruminococcus gnavus and Clostridium ramosum, is associated with HS. Moreover, metabolomic profiling indicates dysregulated tryptophan catabolism and lipid metabolism, with increased 5-lipoxygenase-derived metabolites and odd-chain fatty acids suggesting bacterial involvement. In summary, despite advances, robust associations between genetics, proteomics, microbiome, and metabolomics in HS are still lacking. Integrating these datasets could identify new clinical phenotypes, genetic predispositions, microbial signatures, and therapeutic targets, enhancing personalized treatment strategies and biomarker discovery for HS classification, prognosis, and treatment response.

Metabolomic Profiling of Large Extracellular Vesicles in Patients Suffering from Small Cell Lung Cancer.

Large extracellular vesicles (lEV) offer a unique window into the metabolism of their cells of orign and dysregulation of lipid metabolism has been described in patients with small cell lung cancer (SCLC). Therefore, metabolomic profiling of patients' lEVs may offer insight into cancer metabolism as well as new potential biomarkers for monitoring disease progression. lEVs were isolated by differential centrifugation from the peripheral blood of SCLC patients and healthy controls. Targeted mass spectrometry was used to analyze the lipid composition of lEVs. After identifying relevant metabolites, biomarker and pathway analysis were conducted. SCLC patients exhibited a distinct metabolic profile compared to healthy controls. The metabolites TG(16:0:_38:3), TG(18:3_35:2), TG(16:0_40:7), Cer(d18:1/26:0), and CE(16:0) are not only able to discriminate between patients and control samples, but are also served as prognostic markers for survival. Patients with high concentrations of these metabolites showed significantly shorter survival times. Pathway analysis revealed alterations in 'sphingolipid metabolism', 'sphingolipid signaling pathway' and 'necroptosis'. Metabolic profiling of lEVs in SCLC patients is feasible and reveals a distinct metabolic profile. High concentrations of identified lipids are associated with poor prognosis.

Elevated free cholesterol levels due to impaired reverse cholesterol transport are a risk factor for polymicrobial sepsis in mice

Dysregulated lipid metabolism is commonly observed in septic patients, but how it contributes to sepsis remains largely unknown. Reverse cholesterol transport (RCT) is crucial for regulating cholesterol metabolism in circulation. During RCT, high-density lipoprotein (HDL) collects cholesterol from peripheral tissues and transports it to the liver’s scavenger receptor BI (SR-BI), where SR-BI mediates the uptake of cholesteryl esters from HDL for excretion via bile. In this study, we utilized AlbCreSR-BIfl/fl mice, a model with impaired RCT, to investigate the impact of RCT on sepsis. We found that AlbCreSR-BIfl/fl mice were significantly more susceptible to cecal ligation and puncture (CLP)-induced polymicrobial sepsis, with a survival rate of 14.3% compared to 80% in SR-BIfl/fl littermates. Mechanistically, sepsis disrupted cholesterol metabolism, causing a 4.8-fold increase in free cholesterol (FC) levels and a 4-fold increase in the FC/cholesteryl ester (CE) ratio in AlbCreSR-BIfl/fl mice compared to SR-BIfl/fl littermates. This disruption led to hemolysis and death. Notably, administering the cholesterol-lowering drug probucol normalized FC levels and the FC/CE ratio, and significantly improved survival in CLP-AlbCreSR-BIfl/fl mice. However, probucol treatment reduced survival in CLP-LDLR-/- mice, which had elevated CE levels with a low FC/CE ratio. These results highlight that elevated FC levels with high FC/CE ratio are a risk factor for sepsis. Therefore, selectively targeting elevated FC levels and FC/CE ratio could be a promising therapeutic strategy for managing sepsis.

Transcription factor ETV4 plays a critical role in the development of non-alcoholic fatty liver disease

The Angiopoietin-like 4 (ANGPTL4) and ETS Variant Transcription Factor 4 (ETV4) are involved in the metabolic transition and carcinogenesis in the liver. However, the role of ETV4 in the development of non-alcoholic fatty liver disease (NAFLD) is currently unknown. Our study reveals that ETV4 expression was upregulated in the diet-induced non-alcoholic fatty liver disease, and plays a critical role in the dysregulated lipid metabolism. We demonstrate a mechanism by which ANGPTL4 regulates lipid homeostasis via involving the AMPK/ETV4 axis. Transient knockdown of ETV4 abolished the ANGPTL4-induced expression of Srebp1c, Acc and Fasn. Insulin treatment potentially increased the physical association of ETV4 with SREBP1, and promotes nuclear translocation and transcriptional activity of SREBP1. In addition, we show that combined therapy with omega-3 fatty acids and diacylglycerol O-acyltransferase inhibitor 1 (DGAT1) inhibitor (A-922500) counteracted the ANGPTL4-ETV4 axis-induced lipogenesis in vitro, and in vivo in obese mice via activation of GPR120-βarrestin2-AMPK pathway. Finally, we demonstrate that targeted pharmacologic therapy using GalNac-ETV4 siRNA that specifically inhibits ETV4 gene expression in the liver protects against diet-induced NAFLD, obesity and dyslipidemia. Hence, our study reveal previously unrecognized role of ETV4 in the NAFLD, and provides rationale targeting ETV4 to treat NAFLD.

Integrated multi-omics revealed that dysregulated lipid metabolism played an important role in RA patients with metabolic diseases

ObjectivesPatients with rheumatoid arthritis (RA) commonly experience a high prevalence of multiple metabolic diseases (MD), leading to higher morbidity and premature mortality. Here, we aimed to investigate the pathogenesis of MD in RA patients (RA_MD) through an integrated multi-omics approach.MethodsFecal and blood samples were collected from a total of 181 subjects in this study for multi-omics analyses, including 16S rRNA and internally transcribed spacer (ITS) gene sequencing, metabolomics, transcriptomics, proteomics and phosphoproteomics. Spearman’s correlation and protein-protein interaction networks were used to assess the multi-omics data correlations. The Least Absolute Shrinkage and Selection Operator (LASSO) machine learning algorithm were used to identify disease-specific biomarkers for RA_MD diagnosis.ResultsOur results found that RA_MD was associated with differential abundance of gut microbiota such as Turicibacter and Neocosmospora, metabolites including decreased unsaturated fatty acid, genes related to linoleic acid metabolism and arachidonic acid metabolism, as well as downregulation of proteins and phosphoproteins involved in cholesterol metabolism. Furthermore, a multi-omics classifier differentiated RA_MD from RA with high accuracy (AUC: 0.958). Compared to gouty arthritis and systemic lupus erythematosus, dysregulation of lipid metabolism showed disease-specificity in RA_MD.ConclusionsThe integration of multi-omics data demonstrates that lipid metabolic pathways play a crucial role in RA_MD, providing the basis and direction for the prevention and early diagnosis of MD, as well as new insights to complement clinical treatment options.

Exploring lipidomic profiles and their correlation with hormone receptor and HER2 status in breast cancer.

Dysregulated lipid metabolism promotes the progression of various cancer types, including breast cancer. The present study aimed to explore the lipidomic profiles of patients with breast cancer, providing insights into the correlation between lipid compositions and tumor subtypes characterized by hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status. Briefly, 30 patients with breast cancer were categorized into four groups based on their HR and HER2 status: HR+ no HER2 expression (HER2-0), HR+ HER2-low; HR+ HER2-positive (pos) and HR- HER2-pos. The lipidomic profiles of these patients were analyzed using high-throughput liquid chromatography-mass spectrometry. The data were processed through principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and random forest (RF) classification to assess the lipidomic variations and significant lipid features among these groups. The profiles of the lipids, particularly triglycerides (TG) such as TG(16:0-18:1-18:1)+NH4, were significantly different across the groups. PCA and PLS-DA identified unique lipid profiles in the HR+ HER2-pos and HR+ HER2-0 groups, while RF highlighted phosphatidylinositol-3,4,5-trisphosphate(21:2)+NH4 as a crucial lipid feature for accurate patient grouping. Advanced statistical analysis showed significant correlations between lipid carbon chain length and the number of double bonds within the classifications, providing insights into the role of structural lipid properties in tumor biology. Additionally, a clustering heatmap and network analysis indicated significant lipid-lipid interactions. Pathway enrichment analysis showed critical biological pathways, such as the 'Assembly of active LPL and LIPC lipase complexes', which has high enrichment ratio and statistical significance. In conclusion, the present study underscored that lipidomic profiling is crucial in understanding the metabolic alterations associated with different breast cancer subtypes. These findings highlighted specific lipid features and interactions that may serve as potential biomarkers for breast cancer classification and target pathways for therapeutic intervention. Furthermore, advanced lipidomic analyses can be integrated to decipher complex biological data, offering a foundation for further research into the role of lipid metabolism in cancer progression.

Lipidomics-based deep learning algorithms can enhance prediction of obstructive coronary artery disease

Abstract Background Lipidomics emerge as a promising research field with the potential to help in personalized risk stratification and also improve our understanding on the functional role of individual lipid species in the metabolic perturbations occurring in coronary artery disease (CAD). The existing technological challenges to detect diverse yet structurally similar lipids and their isomers, as well as the need for novel statistical and computational tools to handle the high-dimensional lipidome may be responsible for the reduced clinical translation of the very first lipidomics research outcomes. Methods To that end, this post-hoc analysis of the prospective CorLipid trial aimed to investigate the predictive capability of a lipidomics panel for obstructive CAD risk through an extreme gradient boosting (XGBoost) machine learning (ML) approach. The lipid profiles of 146 individuals with suspected CAD were investigated through liquid chromatography-mass spectrometry. Fasting blood samples were drawn prior to invasive coronary angiography execution. Obstructive CAD was defined as SYNTAX Score (SS) >0 compared to non-obstructive CAD (SS=0). Results Study participants (75.3% male, mean age: 61 ±10.5 years old) were divided into two categories based on the existence of obstructive CAD (54.8% with SS>0 and 45.2% with SS=0). In total, 517 lipid species were identified, from which 290 lipid species were finally quantified in participants’ serum [glycerophospholipids (52.1%), glycerolipids (28.6%) and sphingolipids (19.3%)]. The levels of glycerophospholipid, sphingolipid and glycerolipid classes were significantly different in patients with obstructive CAD. Finally, a ML XGBoost algorithm identified a panel of 17 serum biomarkers (5 sphingolipids, 7 glycerophospholipids, triacylglycerols, galectin-3, glucose, LDL and LDH) as totally sensitive (100% sensitivity, 62.1% specificity and 100% negative predictive value) for the prediction of obstructive CAD. Conclusions These findings provide molecular insights into the role of dysregulated lipid metabolism in the development and progression of CAD while validating the existing body of evidence from similar research studies. Further (ML-based) investigation of lipid metabolism could hold promises for novel therapeutic strategies and improvement of the existing risk stratification schemes.Lipidomics panel importance

Alkaline Mineral Complex Water Attenuates Transportation-Induced Hepatic Lipid Metabolism Dysregulation by AMPKα-SREBP-1c/PPARα Pathways.

Transportation, an unavoidable process in livestock farming, causes metabolic disorders in the body, which then lead to endocrine disruption, being immunocompromised, and growth suppression. Lipid metabolism dysregulation is a critical phenotype induced by transportation. The liver is a vital organ in lipid metabolism, with a role in both lipid synthesis and lipolysis. However, the specific mechanisms by which transportation affects hepatic lipid metabolism remain unclear. This study employed rats as a model to investigate the effects of transportation on hepatic lipid metabolism. Rats subjected to transportation showed altered serum lipid profiles, including decreased serum triglyceride (TG), low-density lipoprotein cholesterol (VLDL-C), and non-esterified fatty acid (NEFA) immediately after transportation (IAT) and serum total cholesterol (TC) on day 3, and increasing serum TG, TC, and low-density lipoprotein cholesterol (LDL-C) on day 10. Meanwhile, fatty droplets in the liver were also reduced at IAT and increased on days 3 and 10. Notably, transportation also affected hepatic-lipid-metabolism-related enzyme activities and signaling pathways, such as increased AMP-activated protein kinase alpha (AMPKα) phosphorylation and modulations in key proteins and genes related to lipid metabolism, decreased hepatic acetyl-CoA carboxylase (ACC) and fatty acid synthase (FAS) activities at IAT, and increased carnitine palmitoyl transferase 1 alpha (CPT-1α) at IAT and ACC and CPT-1α activities on days 3 and 10. Supplementation with alkaline mineral complex water (AMC) before and after transportation mitigated the adverse effects on hepatic lipid metabolism by modulating the AMPKα-SREBP-1c/PPARα pathway, enhancing lipid synthesis, and reducing the oxidative catabolism of fatty acids. AMC inhibited the transportation-induced activation of AMPKα and restored the balance of lipid-metabolism-related enzymes and pathways. These findings highlight AMC's potential as a therapeutic intervention to alleviate transportation-induced lipid metabolism disorders, offering significant implications for improving animal welfare and reducing economic losses in livestock farming.

Blood-derived mitochondrial DNA copy number is associated with Alzheimer disease, Alzheimer-related biomarkers and serum metabolites

BackgroundBlood-derived mitochondrial DNA copy number (mtDNA-CN) is a proxy measurement of mitochondrial function in the peripheral and central systems. Abnormal mtDNA-CN not only indicates impaired mtDNA replication and transcription machinery but also dysregulated biological processes such as energy and lipid metabolism. However, the relationship between mtDNA-CN and Alzheimer disease (AD) is unclear.MethodsWe performed two-sample Mendelian randomization (MR) using publicly available summary statistics from GWAS for mtDNA-CN and AD to investigate the causal relationship between mtDNA-CN and AD. We estimated mtDNA-CN using whole-genome sequence data from blood and brain samples of 13,799 individuals from the Alzheimer’s Disease Sequencing Project. Linear and Cox proportional hazards models adjusting for age, sex, and study phase were used to assess the association of mtDNA-CN with AD. The association of AD biomarkers and serum metabolites with mtDNA-CN in blood was evaluated in Alzheimer’s Disease Neuroimaging Initiative using linear regression. We conducted a causal mediation analysis to test the natural indirect effects of mtDNA-CN change on AD risk through the significantly associated biomarkers and metabolites.ResultsMR analysis suggested a causal relationship between decreased blood-derived mtDNA-CN and increased risk of AD (OR = 0.68; P = 0.013). Survival analysis showed that decreased mtDNA-CN was significantly associated with higher risk of conversion from mild cognitive impairment to AD (HR = 0.80; P = 0.002). We also identified significant associations of mtDNA-CN with brain FDG-PET (β = 0.103; P = 0.022), amyloid-PET (β = 0.117; P = 0.034), CSF amyloid-β (Aβ) 42/40 (β=-0.124; P = 0.017), CSF t-Tau (β = 0.128; P = 0.015), p-Tau (β = 0.140; P = 0.008), and plasma NFL (β=-0.124; P = 0.004) in females. Several lipid species, amino acids, biogenic amines in serum were also significantly associated with mtDNA-CN. Causal mediation analyses showed that about a third of the effect of mtDNA-CN on AD risk was mediated by plasma NFL (P = 0.009), and this effect was more significant in females (P < 0.005).ConclusionsOur study indicates that mtDNA-CN measured in blood is predictive of AD and is associated with AD biomarkers including plasma NFL particularly in females. Further, we illustrate that decreased mtDNA-CN possibly increases AD risk through dysregulation of mitochondrial lipid metabolism and inflammation.