Targeting Lipid Metabolism Research Articles

Abstract 1655: Targeting lipid metabolism disrupts KRAS oncogenesis in pancreatic cancer

Abstract Background: KRAS mutations are chief genetic event in pancreatic cancer. Recently approved inhibitors, sotorasib and adagrasib specifically target KRASG12C, a minor mutation in pancreatic cancer. Further, patients developed acquired resistance by generating secondary KRAS mutations, posing an added obstacle for allele specific inhibitors, warranting alternative strategies to tackle KRAS-dependent cancers. KRAS forms proteolipid signaling platforms on plasma membrane (PM) termed nanoclusters. We have shown mutant KRAS nanoclusters selectively enrich phosphatidylserine (PS) lipid, being particularly receptive to unsaturated PS, suggesting lipid acyl chain metabolism is crucial for KRAS function. In cells, lysophosphatidylcholine acyltransferases 3 (LPCAT3) preferentially catalyzes synthesis of unsaturated PS. We tested the hypothesis that inhibition of LPCAT3 depletes unsaturated PS in the PM, perturbs the PS-dependent PM interactions and oncogenic functions of KRAS. Methods: LPCAT3 knockdown (KD) mediated by siRNA in doxycycline (Dox) inducible KRASG12D murine cells (iKRAS) and CRISPR-Cas9 in human pancreatic tumor line (MiaPaCa-2). LPCAT3 inhibition achieved using small molecule inhibitors (SMIs): HTS3 and HTS4. Shotgun lipidomics characterized re-modeling of PS lipidomes. PM distribution and nanoclustering of KRAS was evaluated by super-resolution electron microscopy (EM). Anti-tumor effect of LPCAT3 inhibition was examined in vitro by proliferation, colony formation and soft agar assays and cellular signaling by western blot. Results: LPCAT3KD decreased polyunsaturated PS levels in MiaPaCa-2 and mislocalized mutant KRASG12V on the PM with a 4-fold reduction in KRAS PM distribution (p<0.0013) and disrupted KRAS nanoclustering, without affecting that of HRASG12V in transformed MiaPaCa-2. LPCAT3KD reduced colony formation ability in MiaPaCa-2. LPCAT3 siRNA reduced KRAS-dependent MAPK signaling, and significantly reduced colony formation only upon Dox-induced expression of KRASG12D, while having no effect in uninduced iKRAS. An integrated knowledgebase tool canSAR.ai generated a druggability score of 77% suggesting LPCAT3 is highly druggable by chemistry-based assessment. Indeed, recently discovered LPCAT3 inhibitors, significantly reduced MAPK signaling, proliferation and colony formation in mutant KRAS-dependent tumor cells while having no significant effect in WT KRAS cells corroborating mutant KRAS specificity of LPCAT3. Conclusion: We demonstrate targeting unsaturated PS lipid metabolism by inhibiting LPCAT3 disrupts KRAS signaling platform and perturbs its oncogenic functions in pancreatic cancer cells. Since various KRAS mutants require unsaturated PS to propagate signaling, our approach targets diverse KRAS mutants, uniquely addressing drug resistance issue. Further, we will optimize the LPCAT3 inhibitors and study their efficacy in xenograft mouse models. Citation Format: Neha Arora, Hong Liang, Alex Reed, Jeffrey T. Chang, Benjamin F. Cravatt, Yong Zhou. Targeting lipid metabolism disrupts KRAS oncogenesis in pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1655.

Strategy for Identifying a Robust Metabolomic Signature Reveals the Altered Lipid Metabolism in Pituitary Adenoma.

Despite the well-established connection between systematic metabolic abnormalities and the pathophysiology of pituitary adenoma (PA), current metabolomic studies have reported an extremely limited number of metabolites associated with PA. Moreover, there was very little consistency in the identified metabolite signatures, resulting in a lack of robust metabolic biomarkers for the diagnosis and treatment of PA. Herein, we performed a global untargeted plasma metabolomic profiling on PA and identified a highly robust metabolomic signature based on a strategy. Specifically, this strategy is unique in (1) integrating repeated random sampling and a consensus evaluation-based feature selection algorithm and (2) evaluating the consistency of metabolomic signatures among different sample groups. This strategy demonstrated superior robustness and stronger discriminative ability compared with that of other feature selection methods including Student's t-test, partial least-squares-discriminant analysis, support vector machine recursive feature elimination, and random forest recursive feature elimination. More importantly, a highly robust metabolomic signature comprising 45 PA-specific differential metabolites was identified. Moreover, metabolite set enrichment analysis of these potential metabolic biomarkers revealed altered lipid metabolism in PA. In conclusion, our findings contribute to a better understanding of the metabolic changes in PA and may have implications for the development of diagnostic and therapeutic approaches targeting lipid metabolism in PA. We believe that the proposed strategy serves as a valuable tool for screening robust, discriminating metabolic features in the field of metabolomics.

Lipids as mediators of cancer progression and metastasis.

Metastasis formation is a complex process, involving multiple crucial steps, which are controlled by different regulatory mechanisms. In this context, the contribution of cancer metabolism to the metastatic cascade is being increasingly recognized. This Review focuses on changes in lipid metabolism that contribute to metastasis formation in solid tumors. We discuss the molecular mechanisms by which lipids induce a pro-metastatic phenotype and explore the role of lipids in response to oxidative stress and as signaling molecules. Finally, we reflect on potential avenues to target lipid metabolism to improve the treatment of metastatic cancers.

Genetic factors affecting storage and utilization of lipids during dormancy in Mycobacterium tuberculosis.

Mycobacterium tuberculosis (Mtb) can adopt a non-growing dormant state during infection that may be critical to both active and latent tuberculosis. During dormancy, Mtb is widely tolerant toward antibiotics, a significant obstacle in current anti-tubercular drug regimens, and retains the ability to persist in its environment. We aimed to identify novel mechanisms that permit Mtb to survive dormancy in an in vitro carbon starvation model using transposon insertion sequencing and gene expression analysis. We identified a previously uncharacterized component of the lipid transport machinery, omamC, which was upregulated and required for survival during carbon starvation. We show that OmamC plays a role both in increasing fatty acid stores during growth in rich media and enhancing fatty acid utilization during starvation. Besides its involvement in lipid metabolism, OmamC levels affected the expression of the anti-anti-sigma factor rv0516c and other genes to improve Mtb survival during carbon starvation and increase its tolerance toward rifampicin, a first-line drug effective against non-growing Mtb. Importantly, we show that Mtb can be eradicated during carbon starvation, in an OmamC-dependent manner, by inhibiting lipid metabolism with the lipase inhibitor tetrahydrolipstatin. This work casts new light into the survival processes of non-replicating, drug-tolerant Mtb by identifying new proteins involved in lipid metabolism required for the survival of dormant bacteria and exposing a potential vulnerability that could be exploited for antibiotic discovery.IMPORTANCETuberculosis is a global threat, with ~10 million yearly active cases. Many more people, however, live with "latent" infection, where Mycobacterium tuberculosis survives in a non-replicative form. When latent bacteria activate and regrow, they elicit immune responses and result in significant host damage. Replicating and non-growing bacilli can co-exist; however, non-growing bacteria are considerably less sensitive to antibiotics, thus complicating treatment by necessitating long treatment durations. Here, we sought to identify genes important for bacterial survival in this non-growing state using a carbon starvation model. We found that a previously uncharacterized gene, omamC, is involved in storing and utilizing fatty acids as bacteria transition between these two states. Importantly, inhibiting lipid metabolism using a lipase inhibitor eradicates non-growing bacteria. Thus, targeting lipid metabolism may be a viable strategy for treating the non-growing population in strategies to shorten treatment durations of tuberculosis.

SARIFA as a new histopathological biomarker is associated with adverse clinicopathological characteristics, tumor-promoting fatty-acid metabolism, and might predict a metastatic pattern in pT3a prostate cancer

BackgroundRecently, we introduced Stroma-AReactive-Invasion-Front-Areas (SARIFA) as a novel hematoxylin–eosin (H&E)-based histopathologic prognostic biomarker for various gastrointestinal cancers, closely related to lipid metabolism. To date, no studies on SARIFA, which is defined as direct tumor-adipocyte-interaction, beyond the alimentary tract exist. Hence, the objective of our current investigation was to study the significance of SARIFA in pT3a prostate cancer (PCa) and explore its association with lipid metabolism in PCa as lipid metabolism plays a key role in PCa development and progression.MethodsTo this end, we evaluated SARIFA-status in 301 radical prostatectomy specimens and examined the relationship between SARIFA-status, clinicopathological characteristics, overall survival, and immunohistochemical expression of FABP4 and CD36 (proteins closely involved in fatty-acid metabolism). Additionally, we investigated the correlation between SARIFA and biochemical recurrence-free survival (BRFS) and PSMA-positive recurrences in PET/CT imaging in a patient subgroup. Moreover, a quantitative SARIFA cut-off was established to further understand the underlying tumor biology.ResultsSARIFA positivity occurred in 59.1% (n = 178) of pT3a PCas. Our analysis demonstrated that SARIFA positivity is strongly associated with established high-risk features, such as R1 status, extraprostatic extension, and higher initial PSA values. Additionally, we observed an upregulation of immunohistochemical CD36 expression specifically at SARIFAs (p = 0.00014). Kaplan–Meier analyses revealed a trend toward poorer outcomes, particularly in terms of BRFS (p = 0.1). More extensive tumor-adipocyte interaction, assessed as quantity-dependent SARIFA-status on H&E slides, is also significantly associated with high-risk features, such as lymph node metastasis, and seems to be associated with worse survival outcomes (p = 0.16). Moreover, SARIFA positivity appeared to be linked to more distant lymph node and bone metastasis, although statistical significance was slightly not achieved (both p > 0.05).ConclusionsThis is the first study to introduce SARIFA as easy-and-fast-to-assess H&E-based biomarker in locally advanced PCa. SARIFA as the histopathologic correlate of a distinct tumor biology, closely related to lipid metabolism, could pave the way to a more detailed patient stratification and to the development of novel drugs targeting lipid metabolism in pT3a PCa. On the basis of this biomarker discovery study, further research efforts on the prognostic and predictive role of SARIFA in PCa can be designed.

ROS-responsive curcumin-encapsulated nanoparticles for AKI therapy via promoting lipid degradation in renal tubules.

Lipid accumulation is a factor contributing to the pathogenesis of acute kidney injury (AKI), yet there are currently no approved pharmacotherapies aside from adjuvant therapy. A developed reactive oxygen species (ROS)-responsive drug delivery system (NPSBG@Cur) was developed to deliver the autophagy activator curcumin (Cur) in order to alleviate AKI by activating autophagy and promoting lipid droplet degradation. The nanoparticles were shown to be ROS-responsive in the H2O2 medium and demonstrate ROS-responsive uptake in palmitate (PA)-induced oxidative stress-damaged cells. NPSBG@Cur was found to effectively inhibit lipid accumulation by autophagosome transport in kidney tubular cells. Additionally, in a mouse AKI model, NPSBG@Cur was observed to significantly ameliorate renal damage by activating autophagy flux and improving lipid transport. These results suggest that the ROS-responsive drug delivery system augmented the therapeutic effect of Cur on AKI by improving lipid metabolism through autophagy activation. Therefore, targeting lipid metabolism with NPSBG@Cur may be a promising AKI treatment strategy.

New insights in lipid metabolism: potential therapeutic targets for the treatment of Alzheimer's disease.

Alzheimer's disease (AD) is increasingly recognized as being intertwined with the dysregulation of lipid metabolism. Lipids are a significant class of nutrients vital to all organisms, playing crucial roles in cellular structure, energy storage, and signaling. Alterations in the levels of various lipids in AD brains and dysregulation of lipid pathways and transportation have been implicated in AD pathogenesis. Clinically, evidence for a high-fat diet firmly links disrupted lipid metabolism to the pathogenesis and progression of AD, although contradictory findings warrant further exploration. In view of the significance of various lipids in brain physiology, the discovery of complex and diverse mechanisms that connect lipid metabolism with AD-related pathophysiology will bring new hope for patients with AD, underscoring the importance of lipid metabolism in AD pathophysiology, and promising targets for therapeutic intervention. Specifically, cholesterol, sphingolipids, and fatty acids have been shown to influence amyloid-beta (Aβ) accumulation and tau hyperphosphorylation, which are hallmarks of AD pathology. Recent studies have highlighted the potential therapeutic targets within lipid metabolism, such as enhancing apolipoprotein E lipidation, activating liver X receptors and retinoid X receptors, and modulating peroxisome proliferator-activated receptors. Ongoing clinical trials are investigating the efficacy of these strategies, including the use of ketogenic diets, statin therapy, and novel compounds like NE3107. The implications of these findings suggest that targeting lipid metabolism could offer new avenues for the treatment and management of AD. By concentrating on alterations in lipid metabolism within the central nervous system and their contribution to AD development, this review aims to shed light on novel research directions and treatment approaches for combating AD, offering hope for the development of more effective management strategies.

Амбулаторная гиполипидемическая терапия у пациентов с очень высоким сердечно-сосудистым риском в период пандемии COVID-19

Background: despite a broad armamentarium of effective lipid-lowering agents, which is being replenished by new classes of drugs, the achievement of target lipid metabolism (LM) parameters in patients at high and very high cardiovascular risk (CVR) remains extremely urgent. The accumulation of data on SARS-CoV-2 during the pandemic contributed to a detailed study of the pathogenetic mechanisms of COVID-19. Among these mechanisms, endothelial dysfunction and atherosclerosis are the most important. Therefore, there is concern about LM in patients with cardiovascular disorders who have experienced coronavirus disease 2019, when adequate lipid-lowering therapy (LLT) determines further prognosis and survival Aim: to evaluate outpatient LLT in patients with very high CVR during the COVID-19 pandemic. Patients and Methods: 114 patients with cardiovascular disorders and very high CVR underwent a voluntary direct clinical interview about LLT and laboratory tests for LM during the COVID-19 pandemic. Results: low awareness of atherosclerosis and the importance of LLT was reported (only 26.32% of patients could be described as fully aware). Most patients (48.24%) only learn about their LM status after admission to hospital. 41.23% monitor their lipid profile on an outpatient basis every 3–6 months, but only 25.44% were able to specify their serum cholesterol level. Study participants received statins as LLT during the COVID-19 pandemic, but 48.94% received statins at inappropriately low doses. COVID-19 morbidity affected adherence to LLT, i.e. 38.59% discontinued lipid-lowering therapy during COVID-19 and 17.54% never restarted it after recovery. Evaluation of laboratory tests for LM in patients with very high CVR showed that only 6.26% achieved target values. Conclusion: low awareness, unhealthy lifestyle and inadequate drug therapy during the COVID-19 pandemic worsen LM and prognosis in patients with very high CVR in terms of adverse cardiovascular events. KEYWORDS: lipid-lowering therapy, dyslipidemia, lipid metabolism, cardiovascular risk, COVID-19 pandemic, adherence. FOR CITATION: Sergeeva V.A., Lipatova T.E. Outpatient lipid-lowering therapy in patients at very high cardiovascular risk during the COVID-19 pandemic. Russian Medical Inquiry. 2024;8(1):9–15 (in Russ.). DOI: 10.32364/2587-6821-2024-8-1-2.

Targeting Lipid Metabolism for Better Management of Coronavirus SARS-COV-2 Infections: Intervention, Antiviral Drug Development, and Challenges

Targeting Lipid Metabolism for Better Management of Coronavirus SARS-COV-2 Infections: Intervention, Antiviral Drug Development, and Challenges

The preliminary evidence on the association of the gut microbiota with stroke risk stratification in South Chinese population.

This study aimed to investigate the association between the gut microbiota and the risk of stroke. Faecal samples from 60 participants in South China, including 45 individuals with risk factors for stroke and 15 healthy controls, were collected and subjected to 16S rRNA sequencing. A bioinformatics analysis was performed to characterise the gut microbial diversity and taxonomic compositions at different risk levels (low, moderate, and high) of stroke. Functional prediction and correlation analyses between the microbiota and laboratory markers were performed to explore the potential mechanisms. A significant difference in beta diversity was observed between the participants from the stroke risk and healthy control groups. Linear discriminant effect size analysis revealed a large number of vascular beneficial bacteria enriched in the participants from the healthy control and low-risk groups, but a few vascular harmful bacteria were more abundant in the participants from the high-risk group than in those from the other groups. In addition, Anaerostipes, Clostridium_XlVb, and Flavonifractor, all of which belonged to the Firmicutes phylum, were enriched in the participants from the low-risk group, and their relative abundances gradually decreased as the stroke risk increased. Spearman's analysis revealed that these outstanding microbiota correlated with the levels of triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, white blood cells, neutrophils, and carotid intima-media thickness. The preliminary evidence suggests that gut microbiota is associated with stroke risk. It potentially ameliorates atherosclerosis by targeting lipid metabolism and inflammation. This provides novel insights into the early screening of stroke risk and primary prevention.

Stroma AReactive Invasion Front Areas (SARIFA) improves prognostic risk stratification of perioperative chemotherapy treated oesophagogastric cancer patients from the MAGIC and the ST03 trial.

Tumour-associated fat cells without desmoplastic stroma reaction at the invasion front (Stroma AReactive Invasion Front Areas (SARIFA)) is a prognostic biomarker in gastric and colon cancer. The clinical utility of theSARIFA status in oesophagogastric cancer patients treated with perioperative chemotherapy is currently unknown. TheSARIFA status was determined in tissue sections from patients recruited into the MAGIC (n = 292) or ST03 (n = 693) trials treated with surgery alone (S, MAGIC) or perioperative chemotherapy (MAGIC, ST03). The relationship between SARIFA status, clinicopathological factors, overall survival (OS) and treatment was analysed. TheSARIFA status was positive in 42% MAGIC trial S patients, 28% MAGIC and 48% ST03 patients after pre-operative chemotherapy. SARIFA status was related to OS in MAGIC trial S patients and was an independent prognostic biomarker in ST03 trial patients (HR 1.974, 95% CI 1.555-2.507, p < 0.001). ST03 patients with lymph node metastasis (ypN + ) and SARIFA-positive tumours had poorer OS than patients with ypN+ and SARIFA-negative tumours (plogrank < 0.001). TheSARIFA status has clinical utility as prognostic biomarker in oesophagogastric cancer patients irrespective of treatment modality. Whilst underlying biological mechanisms warrant further investigation, theSARIFA status might be used to identify new drug targets, potentially enabling repurposing of existing drugs targeting lipid metabolism.

The glycerophosphocholine acyltransferase Gpc1 contributes to phosphatidylcholine biosynthesis, long-term viability, and embedded hyphal growth in Candida albicans

Candida albicans is a commensal fungus, opportunistic pathogen, and the most common cause of fungal infection in humans. The biosynthesis of phosphatidylcholine (PC), a major eukaryotic glycerophospholipid, occurs through two primary pathways. In Saccharomyces cerevisiae and some plants, a third PC synthesis pathway, the PC deacylation/reacylation pathway (PC-DRP), has been characterized. PC-DRP begins with the acylation of the lipid turnover product, glycerophosphocholine (GPC), by the GPC acyltransferase, Gpc1, to form Lyso-PC. Lyso-PC is then acylated by lysolipid acyltransferase, Lpt1, to produce PC. Importantly, GPC, the substrate for Gpc1, is a ubiquitous metabolite available within the host. GPC is imported by C. albicans, and deletion of the major GPC transporter, Git3, leads to decreased virulence in a murine model. Here we report that GPC can be directly acylated in C. albicans by the protein product of orf19.988, a homolog of ScGpc1. Through lipidomic studies, we show loss of Gpc1 leads to a decrease in PC levels. This decrease occurs in the absence of exogenous GPC, indicating that the impact on PC levels may be greater in the human host where GPC is available. A gpc1Δ/Δ strain exhibits several sensitivities to antifungals that target lipid metabolism. Further, loss of Gpc1 results in both a hyphal growth defect in embedded conditions, and a decrease in long-term cell viability. These results demonstrate for the first time the importance of Gpc1 and this alternative PC biosynthesis route (PC-DRP) to the physiology of a pathogenic fungus.

Lipid compartments and lipid metabolism as therapeutic targets against coronavirus.

Lipids perform a series of cellular functions, establishing cell and organelles' boundaries, organizing signaling platforms, and creating compartments where specific reactions occur. Moreover, lipids store energy and act as secondary messengers whose distribution is tightly regulated. Disruption of lipid metabolism is associated with many diseases, including those caused by viruses. In this scenario, lipids can favor virus replication and are not solely used as pathogens' energy source. In contrast, cells can counteract viruses using lipids as weapons. In this review, we discuss the available data on how coronaviruses profit from cellular lipid compartments and why targeting lipid metabolism may be a powerful strategy to fight these cellular parasites. We also provide a formidable collection of data on the pharmacological approaches targeting lipid metabolism to impair and treat coronavirus infection.

MiR-1182-mediated ALDH3A2 inhibition affects lipid metabolism and progression in ccRCC by activating the PI3K-AKT pathway

In clear cell renal cell carcinoma (ccRCC), dysregulated lipid metabolism plays a pivotal role in tumor initiation and progression. This study delves into the unexplored landscape of Dysregulated Aldehyde Dehydrogenase 3 Family Member A2 (ALDH3A2) in ccRCC. Using a combination of "fatty acid metabolism" dataset analysis and differentially expressed genes (DEGs) derived from Gene Expression Omnibus (GEO) database, potential metabolic regulators in ccRCC were identified. Subsequent investigations utilizing public databases, clinical samples, and in vitro experiments revealed that ALDH3A2 was down-regulated in ccRCC, mediated by miR-1182, highlighting its role as an independent prognostic factor for patient survival. Functionally, ALDH3A2 exhibited tumor-suppressive properties, impacting ccRCC cell phenotypes and influencing epithelial-mesenchymal transition. Mechanistically, silencing ALDH3A2 promoted lipid accumulation in ccRCC cells by activating the PI3K-AKT pathway, thereby promoting tumor progression. These findings shed light on the critical role of the miR-1182/ALDH3A2 axis in ccRCC tumorigenesis, emphasizing the potential for targeting lipid metabolism as a promising anti-cancer strategy.

A novel lung cancer stem cell extracellular vesicles lncRNA ROLLCSC modulate non-stemness cancer cell plasticity through miR-5623-3p and miR-217-5p targeting lipid metabolism

BackgroundThe high mortality rate of lung cancer is largely attributed to metastasis. Lung cancer stem cells (CSC) are conducive to cancer heterogeneity. Long noncoding RNAs are known to participate in various biological processes regulating the development of lung cancer. However, characterization of the role and mechanisms of lncRNA in lung cancer metastasis remains a challenge. ResultsWe demonstrate that ROLLCSC, a highly expressed lncRNA in LLC-SDs, promotes the metastasis of the low metastatic LLCs both in vitro and in vivo. ROLLCSC can be transferred from LLC-SD to LLC through encapsulation in extracellular vesicles (EVs), ultimately leading to the enhancement of the metastatic phenotype of LLCs. Mechanistically, we demonstrate that the pro-metastatic activity of ROLLCSC is achieved through its function as a competing endogenous RNA (ceRNA) of miR-5623-3p and miR-217-5p to stimulate lipid metabolism. ConclusionIn this study, we have characterized ROLLCSC, a novel lncRNA, as a pivotal regulator in the metastasis of lung cancer, highlighting its potential as a therapeutic target. Specifically, we show that ROLLCSC is encapsulated by the EVs of LLC-SDs and transmitted to the LLCs, where it acts as a ceRNA of miR-5623-3p and miR-217-5p to stimulate lipid metabolism and ultimately augments metastatic colonization of LLCs.

Resensitizing Paclitaxel-Resistant Ovarian Cancer via Targeting Lipid Metabolism Key Enzymes CPT1A, SCD and FASN.

Epithelial ovarian cancer (EOC) is a lethal gynecological cancer, of which paclitaxel resistance is the major factor limiting treatment outcomes, and identification of paclitaxel resistance-related genes is arduous. We obtained transcriptomic data from seven paclitaxel-resistant ovarian cancer cell lines and corresponding sensitive cell lines. Define genes significantly up-regulated in at least three resistant cell lines, meanwhile they did not down-regulate in the other resistant cell lines as candidate genes. Candidate genes were then ranked according to the frequencies of significant up-regulation in resistant cell lines, defining genes with the highest rankings as paclitaxel resistance-related genes (PRGs). Patients were grouped based on the median expression of PRGs. The lipid metabolism-related gene set and the oncological gene set were established and took intersections with genes co-upregulated with PRGs, obtaining 229 co-upregulated genes associated with lipid metabolism and tumorigenesis. The PPI network obtained 19 highly confidential synergistic targets (interaction score > 0.7) that directly associated with CPT1A. Finally, FASN and SCD were up-stream substrate provider and competitor of CPT1A, respectively. Western blot and qRT-PCR results confirmed the over-expression of CPT1A, SCD and FASN in the A2780/PTX cell line. The inhibition of CPT1A, SCD and FASN down-regulated cell viability and migration, pharmacological blockade of CPT1A and SCD increased apoptosis rate and paclitaxel sensitivity of A2780/PTX. In summary, our novel bioinformatic methods can overcome difficulties in drug resistance evaluation, providing promising therapeutical strategies for paclitaxel-resistant EOC via taregting lipid metabolism-related enzymes.

Transcriptome and Lipidomic Analysis Suggests Lipid Metabolism Reprogramming and Upregulating SPHK1 Promotes Stemness in Pancreatic Ductal Adenocarcinoma Stem-like Cells.

Cancer stem cells (CSCs) are considered to play a key role in the development and progression of pancreatic ductal adenocarcinoma (PDAC). However, little is known about lipid metabolism reprogramming in PDAC CSCs. Here, we assigned stemness indices, which were used to describe and quantify CSCs, to every patient from the Cancer Genome Atlas (TCGA-PAAD) database and observed differences in lipid metabolism between patients with high and low stemness indices. Then, tumor-repopulating cells (TRCs) cultured in soft 3D (three-dimensional) fibrin gels were demonstrated to be an available PDAC cancer stem-like cell (CSLCs) model. Comprehensive transcriptome and lipidomic analysis results suggested that fatty acid metabolism, glycerophospholipid metabolism, and, especially, the sphingolipid metabolism pathway were mostly associated with CSLCs properties. SPHK1 (sphingosine kinases 1), one of the genes involved in sphingolipid metabolism and encoding the key enzyme to catalyze sphingosine to generate S1P (sphingosine-1-phosphate), was identified to be the key gene in promoting the stemness of PDAC. In summary, we explored the characteristics of lipid metabolism both in patients with high stemness indices and in novel CSLCs models, and unraveled a molecular mechanism via which sphingolipid metabolism maintained tumor stemness. These findings may contribute to the development of a strategy for targeting lipid metabolism to inhibit CSCs in PDAC treatment.

SBC (Sanhuang Xiexin Tang combined with Baihu Tang plus Cangzhu) alleviates NAFLD by enhancing mitochondrial biogenesis and ameliorating inflammation in obese patients and mice

In the context of non-alcoholic fatty liver disease (NAFLD), characterized by dysregulated lipid metabolism in hepatocytes, the quest for safe and effective therapeutics targeting lipid metabolism has gained paramount importance. Sanhuang Xiexin Tang (SXT) and Baihu Tang (BHT) have emerged as prominent candidates for treating metabolic disorders. SXT combined with BHT plus Cangzhu (SBC) has been used clinically for Weihuochisheng obese patients. This retrospective analysis focused on assessing the anti-obesity effects of SBC in Weihuochisheng obese patients. We observed significant reductions in body weight and hepatic lipid content among obese patients following SBC treatment. To gain further insights, we investigated the effects and underlying mechanisms of SBC in HFD-fed mice. The results demonstrated that SBC treatment mitigated body weight gain and hepatic lipid accumulation in HFD-fed mice. Pharmacological network analysis suggested that SBC may affect lipid metabolism, mitochondria, inflammation, and apoptosis—a hypothesis supported by the hepatic transcriptomic analysis in HFD-fed mice treated with SBC. Notably, SBC treatment was associated with enhanced hepatic mitochondrial biogenesis and the inhibition of the c-Jun N-terminal kinase (JNK)/nuclear factor-kappa B (NF-κB) and extracellular signal-regulated kinase (ERK)/NF-κB pathways. In conclusion, SBC treatment alleviates NAFLD in both obese patients and mouse models by improving lipid metabolism, potentially through enhancing mitochondrial biogenesis. These effects, in turn, ameliorate inflammation in hepatocytes.

Lipid metabolism as a target for cancer drug resistance: progress and prospects.

Cancer is the world's leading cause of human death today, and the treatment process of cancer is highly complex. Chemotherapy and targeted therapy are commonly used in cancer treatment, and the emergence of drug resistance is a significant problem in cancer treatment. Therefore, the mechanism of drug resistance during cancer treatment has become a hot issue in current research. A series of studies have found that lipid metabolism is closely related to cancer drug resistance. This paper details the changes of lipid metabolism in drug resistance and how lipid metabolism affects drug resistance. More importantly, most studies have reported that combination therapy may lead to changes in lipid-related metabolic pathways, which may reverse the development of cancer drug resistance and enhance or rescue the sensitivity to therapeutic drugs. This paper summarizes the progress of drug design targeting lipid metabolism in improving drug resistance, and providing new ideas and strategies for future tumor treatment. Therefore, this paper reviews the issues of combining medications with lipid metabolism and drug resistance.

Revolutionizing control strategies against Mycobacterium tuberculosis infection through selected targeting of lipid metabolism.

Lipid species play a critical role in the growth and virulence expression of Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis (TB). During Mtb infection, foamy macrophages accumulate lipids in granulomas, providing metabolic adaptation and survival strategies for Mtb against multiple stresses. Host-derived lipid species, including triacylglycerol and cholesterol, can also contribute to the development of drug-tolerant Mtb, leading to reduced efficacy of antibiotics targeting the bacterial cell wall or transcription. Transcriptional and metabolic analyses indicate that lipid metabolism-associated factors of Mtb are highly regulated by antibiotics and ultimately affect treatment outcomes. Despite the well-known association between major antibiotics and lipid metabolites in TB treatment, a comprehensive understanding of how altered lipid metabolites in both host and Mtb influence treatment outcomes in a drug-specific manner is necessary to overcome drug tolerance. The current review explores the controversies and correlations between lipids and drug efficacy in various Mtb infection models and proposes novel approaches to enhance the efficacy of anti-TB drugs. Moreover, the review provides insights into the efficacious control of Mtb infection by elucidating the impact of lipids on drug efficacy. This review aims to improve the effectiveness of current anti-TB drugs and facilitate the development of innovative therapeutic strategies against Mtb infection by making reverse use of Mtb-favoring lipid species.