Lipid Metabolism Pathways Research Articles

Integrated lipidomics and RNA-seq reveal prognostic biomarkers in well-differentiated and dedifferentiated retroperitoneal liposarcoma

BackgroundRetroperitoneal liposarcoma (RLPS) is a mesenchymal malignant tumor characterized by different degrees of adipocytic differentiation. Well-differentiated liposarcoma (WDLPS) and dedifferentiated liposarcoma (DDLPS) are two of the most common subtypes of RLPS, exhibiting clear differences in biological behaviors and clinical prognosis. The metabolic features and genomic characteristics remain unclear.MethodsThis study employed lipidomic and RNA-seq analyses of RLPS tissues from 19 WDLPS and 29 DDLPS patients. Western blot and immunohistochemistry staining were performed to verify the tumor tissue protein levels of TIMP1, FN1, MMP11, GPNMB, and ECM1. Enzyme-linked immunosorbent assay (ELISA) was performed to evaluate different serum protein levels in 128 blood samples from patients with RLPS. Multivariate analysis was performed to identify the most crucial variables associated with overall survival (OS) and recurrence-free survival (RFS) of the RLPS patients.ResultsLipidomic analysis revealed a significant difference in lipid metabolism, particularly in phosphatidylcholines and triacylglycerides metabolism. RNA sequencing analysis revealed that 1,630 differentially expressed genes (DEGs) were significantly enriched in lipid metabolism, developmental process, and extracellular matrix (ECM) pathways. Integrated lipidomic and transcriptomic analysis identified 29 genes as potential biomarkers between WDLPS and DDLPS. Among the 29 DEGs, we found that TIMP1, FN1, MMP11, GPNMB, and ECM1 were increased in DDLPS tumor tissues than in WDLPS tumor tissues. The receiver operating characteristic (ROC) curve showed high specificity and sensitivity in diagnosing patients using a five-gene combination (AUC = 0.904). ELISA revealed a significant increase in the serum levels of ECM1 and GPNMB in patients with DDLPS compared to patients with WDLPS. ECM1 increased progressively across different FNCLCC Grades, correlating negatively with RFS (P = 0.043). GPNMB levels showed a negative correlation with OS (P = 0.019).ConclusionsOur study reveals different lipid metabolism, several transcriptional pathways between WDLPS and DDLPS, and examines several serum markers associated with the prognosis of RLPS. These findings provide a vital basis for future endeavors in diagnosing and predicting the prognosis of retroperitoneal liposarcoma with different differentiations.

A Moderate Intake of Beer Improves Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) in a High-Fat Diet (HFD)-Induced Mouse Model

Beer and its components show potential for reducing hepatic steatosis in rodent models through multiple mechanisms. This study aimed to evaluate beer’s anti-steatotic effects in a high-fat diet (HFD)-induced mouse model of Metabolic dysfunction-Associated Liver Disease (MASLD) and to explore the underlying mechanisms. In the HFD group, steatosis was confirmed by altered blood parameters, weight gain, elevated liver lipid content, and histological changes. These markers were normalized in the HFD+beer group, reaching levels similar to the control (CTR) group. Protein carbonylation and lipid peroxidation levels were consistent across all groups, suggesting that the model represents an early stage of MASLD without oxidative stress. Transcriptomic and CpG methylation analyses revealed clear distinctions between the CTR and HFD groups. RNA sequencing identified 162 differentially expressed genes (DEGs) between the CTR and HFD groups, primarily related to inflammation and lipid regulation. Beer consumption modified the health of the HFD mice, affecting inflammation but not lipid homeostasis (CTR vs. HFD+beer, DEGs = 43). The CpG methylation analysis indicated that beer lowered methylation, impacting genes linked to lipid accumulation and inflammation. A cecal metabolite analysis suggested that beer improved short-chain fatty acid metabolism (SCFA). In summary, a moderate beer intake may mitigate MASLD by modulating lipid metabolism and SCFA pathways, likely through polyphenol activity.

Role of LIPIN 1 in regulating metabolic homeostasis in the retinal pigment epithelium.

Dysregulated lipid metabolism, characterized by the accumulation of lipid deposits on Bruch's membrane and in drusen, is considered a key pathogenic event in age-related macular degeneration (AMD). The imbalance of lipid production, usage, and transport in local tissues, particularly in the retinal pigment epithelium (RPE), is increasingly recognized as crucial in AMD development. However, the molecular mechanisms governing lipid metabolism in the RPE remain elusive. LIPIN1, a multifunctional protein acting as both a modulator of transcription factors and a phosphatidate phosphatase (PAP1), is known to play important regulatory roles in lipid metabolism and related biological functions, such as inflammatory responses. While deficits in LIPIN1 have been linked to multiple diseases, its specific roles in the retina and RPE remain unclear. In this study, we investigated LIPIN1 in RPE integrity and function using a tissue-specific knockout animal model. The clinical and histological examinations revealed age-dependent degeneration in the RPE and the retina, along with impaired lipid metabolism. Bulk RNA sequencing indicated a disturbance in lipid metabolic pathways. Moreover, these animals exhibited inflammatory markers reminiscent of human AMD features, including deposition of IgG and C3d on Bruch's membrane. Collectively, our findings indicate that LIPIN1 is a critical component of the complex regulatory network of lipid homeostasis in the RPE. Disruption of LIPIN1-mediated regulation impaired lipid balance and contributed to AMD-related pathogenic changes.

Gut microbiota may mediate the causality of statins on diabetic nephropathy: a mediation Mendelian randomization study.

Increasing evidence indicates that statins may increase the risk of developing diabetic nephropathy (DN). As the gut-kidney axis concept gains traction, it remains unclear whether statins contribute to the onset and progression of DN by modulating gut microbiota. To investigate the association between statins and DN and the proportion of this association mediated through gut microbiota. This study utilized a two-sample Mendelian randomization (MR) approach and a cross-sectional observational design to investigate the causal relationships among statins, 473 gut microbiota, and DN. Furthermore, mediation MR analysis was employed to explore the potential mediating effects of gut microbiota in the statins-DN relationship. HMGCR inhibitors were causally linked to the increased incidence of DN (odds ratio [OR]: 0.732, 95% confidence interval [CI] 0.647, 0.828, PFDR = 0.000004). Supporting results from a cross-sectional study based on the Medical Information Marketplace in Intensive Care (MIMIC-IV) database also indicated this association (OR: 0.74, 95% CI: 0.61, 0.91, P = 0.004). Among the 473 identified gut microbiota species, 13 (PFDR < 0.05) were causally associated with DN. The mediation MR analysis revealed that 10 gut microbiota mediated the relationship between statins and DN, acting as either protective or risk factors (P < 0.05). In addition, HMGCR and related proteins may be involved in lipid metabolism, insulin resistance, and AMPK signaling pathway. Statins may become a risk factor for DN by increasing or decreasing the abundance of specific gut microbiota. These specific gut bacteria have the potential to become a new indicator for guiding the clinical use of statins in diabetic patients.

Long-term dysregulation of plasma peptidome in mild and multiple COVID-19 recovered patients revealed by a novel efficient peptidomics workflow.

After recovering from COVID-19, many patients experience "long COVID" symptoms. Existing research has predominantly focused on moderate to severe cases, with limited studies examining mild cases and recurrent infections. The circulating low-molecular-weight (LMW) peptidome, involving lipid metabolism, coagulation, and immune pathways, is crucial for understanding COVID-19's long-term effects. We developed a peptidomics workflow utilizing solid-phase extraction with highly wrinkled GO-Fe3O4 composite materials (HWGO-F) and nanoLC-MS/MS detection. By altering the pH, HWGO-F enhances plasma peptide adsorption and purification. Compared to traditional methods, our workflow offers improved detection depth and reproducibility for over 70% of peptide signals with CV < 20%. We investigated plasma peptide profiles in mild COVID-19 patients post-recovery from single or second infections. The findings indicate persistent abnormalities in initial COVID-19 infections' plasma peptide profiles, gradually diminishing over time. Secondary infections prolong recovery. Disrupted functions include lipid metabolism, coagulation and complement cascades, and infection-related pathways. Lipid metabolism may normalize within 3 months, while coagulation and immune abnormalities can last 3-6 months. After secondary infections, lipid metabolism irregularities may last at least 1 month, with extended coagulation and immune imbalances. These results provide a theoretical foundation for understanding the widespread occurrence of long COVID and guide recovery care for mild cases.

Lipidomics in Obesity: Unveiling Metabolic Pathways Contributing to Hyperlipidemia

Obesity, a global public health challenge, is intricately linked to hyperlipidemia, which significantly increases the risk of metabolic syndrome, cardiovascular diseases, and type 2 diabetes. Lipidomics, the comprehensive study of lipid profiles within biological systems, has emerged as a powerful tool for unraveling the complex lipid metabolic alterations that occur in obesity. This review provides a detailed analysis of lipidomics and its application in understanding the dysregulated metabolic pathways contributing to hyperlipidemia in obesity. We examine key lipid species, including fatty acids, triglycerides, phospholipids, sphingolipids, and cholesterol, and their roles in adipose tissue dynamics, insulin resistance, and inflammation. Furthermore, the review highlights the involvement of critical lipid metabolic pathways such as de novo lipogenesis, fatty acid oxidation, glycerophospholipid metabolism, and sphingolipid signaling in obesity-induced hyperlipidemia. Emerging lipidomic technologies and their potential to uncover novel biomarkers and therapeutic targets for managing dyslipidemia in obese individuals are also discussed. By integrating lipidomics into obesity research, we can gain a more nuanced understanding of the lipid-related molecular mechanisms driving hyperlipidemia and develop more targeted, personalized therapeutic strategies. Keywords: Lipidomics, Obesity, Hyperlipidemia, Metabolic Pathways, Fatty Acid Metabolism, De Novo Lipogenesis, Sphingolipids, Biomarkers, Cardiovascular Risk, Dyslipidemia

Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of Household Contacts of TB patients

The identification of individuals with the greatest risk of progression to active tuberculosis (TB) disease from the huge reservoir of Mycobacterium tuberculosis (Mtb) infected individuals continues to remain an arduous ascent in the global effort to control TB. In a two-year prospective study, we analysed metabolic profiles in the unstimulated and TB antigen stimulated QuantiFERON supernatants of 14 household contacts (HHCs) who progressed to TB (Progressors) and 14 HHCs who remained healthy (Non-Progressors). We identified 21 significantly dysregulated metabolites in the TB antigen-stimulated QuantiFERON supernatants of Progressors, of which the combination of Malic acid and N-Arachidonoylglycine had maximum AUC of 0.99. Eighteen significantly dysregulated metabolites were identified in the unstimulated QuantiFERON supernatants of Progressors, among which the combination of Orotic acid and the phosphatidylcholines PC (O-34:1), PC (O-18:1(9Z)/16:0), PC (O-18:1(11Z)/16:0) had the maximum AUC of 0.98. Most of the dysregulated metabolites belonged to the pathways of fatty acid metabolism, lipid metabolism and nitric oxide metabolism. Validation of these metabolic signatures in large, diverse cohorts would pave way for targetted intervention of TB disease.

Thiazolidinedione derivatives in cancer therapy: exploring novel mechanisms, therapeutic potentials, and future horizons in oncology.

Thiazolidinedione derivatives have shown significant potential as targeted cancer therapies by leveraging their various mechanisms of action. These include suppressing cell proliferation, triggering apoptosis, and influencing signaling pathways associated with tumor development. Their multifaceted effects make them promising candidates for advancing cancer treatment strategies. They have shown significant promise as anti-cancer agents, particularly through their ability to inhibit lipogenesis pathways and apoptosis essential for cancer cell survival and proliferation. This review comprehensively examines the anti-cancer potential of thiazolidinedione derivatives by targeting key aspects of lipid metabolism, apoptosis, and various mechanistic pathways. This review provides an in-depth examination of the anti-cancer potential of TZD derivatives, focusing on their mechanisms of action, therapeutic applications, and future directions in oncology. The anti-tumor effects of TZDs primarily involve the stimulation of peroxisome proliferator-activated receptor gamma (PPAR-γ), suppressing cell proliferation, induction of apoptosis, and inhibition of angiogenesis. Moreover, recent evidence highlights their ability to modulate non-PPAR-γ pathways, such as PI3K/Akt, NF-κB, and MAPK, further expanding their role in overcoming drug resistance and enhancing therapeutic outcomes. This review explores the preclinical (in vitro and in vivo) and clinical research investigating TZD derivatives efficacy in various cancer types. The insights underscore the significance of targeting lipogenesis as a novel anti-cancer strategy, positioning thiazolidinedione derivatives as potent candidates for future cancer therapeutics. As the oncology landscape evolves, TZD derivatives (rosiglitazone, pioglitazone, inolitazone, troglitazone, and 2,4-thiazolidinedione derivatives) represent a promising class of agents with the potential to contribute meaningfully to cancer treatment. By integrating existing knowledge with recent advancements, this study provides valuable insights into the role of thiazolidinedione derivatives in cancer treatment, paving the way for further research and clinical applications.

Atg5-Mediated Lipophagy Induces Ferroptosis in Corneal Epithelial Cells in Dry Eye Disease.

Ferroptosis occurred in corneal epithelial cells has been implicated in the inflammation in dry eye disease (DED). Given the proposed link between ferroptosis and autophagy, this study aims to investigate the role of autophagy in driving ferroptosis in corneal epithelial cell and enrich the pathogenesis underlying DED. DED models were established in C57BL/6 mice via scopolamine injection and in human corneal epithelial cell line (HCEC) using hyperosmotic medium. Lipidomic and transcriptomic analysis were conducted to assess lipid metabolism and regulatory pathways. Atg5 expression was manipulated in vivo using cholesterol-modified small interfering RNA. Lipid droplets (LDs) and lysosomes were labeled with BODIPY 493/503 and Lysotracker Red DND-99, respectively. Western blot, immunofluorescence (IF) staining, co-immunoprecipitation (CO-IP), transmission electron microscopy and microplate reader were used to explore protein expressions and interactions, cellular structures, and free fatty acid (FFA) content. Our results revealed that autophagy was activated in DED, as evidenced by lipidomic and transcriptomic analyses. Enhanced lipophagy was observed in HCECs exposed to hyperosmolarity, manifested by lysosome-LD co-localization and autophagic vacuoles containing LDs. Upregulation of Atg5 promoted lipophagy, leading to elevated cellular FFA levels, lipid peroxidation, and expression of ferroptosis markers. Interaction between Atg5 and perilipin3 was confirmed through CO-IP and IF. In the DED mouse model, Atg5 inhibition effectively ameliorated corneal damage, suppressed ferroptosis and ocular surface inflammation. Our findings highlight the pivotal role of Atg5-mediated lipophagy in driving ferroptosis in corneal epithelial cells in DED, proposing Atg5 as a promising therapeutic target for mitigating ferroptosis-induced cell damage and inflammation in DED.

Role of TgVIN1 and TgPEPCK in sugar/starch and lipid metabolism pathways in Torreya grandis seeds under foliar fertilizer treatments

Role of TgVIN1 and TgPEPCK in sugar/starch and lipid metabolism pathways in Torreya grandis seeds under foliar fertilizer treatments

Transcriptome and metabolome revealed the effects of hypoxic environment on ovarian development of Tibetan sheep

Many studies on the adaptability of Tibetan sheep to hypoxia have been reported, but little attention has been paid to the reproduction of Tibetan sheep living at an altitude of more than 4000 m. In this study, the ovaries of Alpine Merino sheep (AM) living in middle-high altitude areas (2500 m) and the ovaries of Gangba Tibetan sheep (GB) and Huoba Tibetan sheep (HB) living in ultra-high altitude areas (4400 m or more) were collected. Through morphological, transcriptomics and metabolomics, the effects of ultra-high altitude areas on Tibetan sheep ovarian development and the molecular mechanism of sheep's adaptability to ultra-high altitude environment were explored. The results showed that the number of granulosa cells in AM was significantly higher than that in GB and HB. The transcriptome revealed several genes related to follicular development, such as DAPL1, IGFBP1, C5, GPR12, STRA6, BMPER, etc., which were mainly enriched in related pathways such as cell growth and development. Through metabolomics analysis, it was found that the differential metabolites between the three groups of sheep were mainly lipids and lipid-like small molecules, such as Glycerol 3-Phosphate, PC (16: 0 / 18: 3 (9Z, 12Z, 15Z)), mainly enriched in lipid metabolism and other related pathways. The results of combined analysis showed that Tryptophan metabolism and Steroid hormone biosynthesis may have a significant effect on Tibetan sheep follicular development. Some genes (including HSD17B7, CYP11A1, CYP19, HSD3B1, CYP17, etc.) and some metabolites (including Cortisone, 2-Methoxyestrone, etc.) are enriched in these pathways, regulating ovarian and follicular development by affecting estrogen, progesterone, etc.. The results further revealed the molecular mechanism of Tibetan sheep to adapt to the ultra-high altitude environment and maintain normal ovarian and follicular development through the regulation of genes and metabolites.

The Analysis of Plasma Proteomics for Luminal A Breast Cancer.

Breast cancer is the prevailing malignancy among women, exhibiting a discernible escalation in incidence within our nation; hormone receptor-positive (HR+) human epidermal growth factor receptor 2-negative (HER2-) breast cancer is the most common subtype. In this study, we aimed to search for a non-invasive, specific, blood-based biomarker for the early detection of luminal A breast cancer through proteomic studies. To explore new potential plasma biomarkers, we applied data-independent acquisition (DIA), a technique combining liquid chromatography and tandem mass spectrometry, to quantify breast cancer-associated plasma protein abundance from a small number of plasma samples in 10 patients with luminal A breast cancer, 10 patients with benign breast tumors, and 10 healthy controls. The proteomes of 30 participants in all cohorts were analyzed using the DIA method, and a total of 517 proteins and 3584 peptides were quantified. We found that there were significant differences in plasma protein expression profiles between breast cancer patients and non-breast cancer patients, and breast cancer was mainly related to lipid metabolism pathways. Finally, the optimal protein combinations for the diagnosis of breast cancer were PON3, IGLV3-10, and IGHV3-73 through multi-model analysis, which had a high prediction accuracy for breast cancer (AUC = 0.92), and the model could also distinguish breast cancer from HC (AUC = 0.92) and breast cancer from benign breast tumor (AUC = 0.91). The study revealed proteomic signatures of patients with luminal A breast cancer, identified multiple differential proteins, and identified three plasma proteins as potential diagnostic biomarkers for breast cancer. It provides a reference for the screening of biomarkers for breast cancer.

Integrated Multi-Omics Analyses Reveal Lipid Metabolic Signature in Osteoarthritis

Osteoarthritis (OA) is the most common degenerative joint disease and the second leading cause of disability worldwide. Single-omics analyses are far from elucidating the complex mechanisms of lipid metabolic dysfunction in OA. This study identified a shared lipid metabolic signature of OA by integrating metabolomics, single-cell and bulk RNA-seq, as well as metagenomics. Compared to the normal counterparts, cartilagesin OA patients exhibited significant depletion of homeostatic chondrocytes (HomCs) (P=0.03) and showed lipid metabolic disorders in linoleic acid metabolism and glycerophospholipid metabolism which was consistent with our findings obtained from plasma metabolomics. Through high-dimensional weighted gene co-expression network analysis (hdWGCNA), weidentified PLA2G2A as a hub gene associated with lipid metabolic disorders in HomCs. And an OA-associated subtype of HomCs, namely HomC1 (marked by PLA2G2A, MT-CO1, MT-CO2, and MT-CO3) was identified, which also exhibited abnormal activation of lipid metabolic pathways. This suggests the involvement of HomC1 in OA progression through the shared lipid metabolism aberrancies, which were further validated via bulk RNA-Seq analysis. Metagenomic profiling identified specific gut microbial species significantly associated with the key lipid metabolism disorders, including Bacteroides uniformis (P<0.001, R=-0.52), Klebsiella pneumonia (P=0.003, R=0.42), Intestinibacter_bartlettii (P=0.009, R=0.38), and Streptococcus anginosus (P=0.009, R=0.38). By integrating the multi-omics features, a random forest diagnostic model with outstanding performance was developed (AUC=0.97). In summary, this study deciphered the crucial role of a integrated lipid metabolic signature in OA pathogenesis, and established a regulatory axis of gut microbiota-metabolites-cell-gene, providing new insights into the gut-joint axis and precision therapy for OA.

The Link between miRNAs and PCKS9 in Atherosclerosis.

Cardiovascular disease (CDV) represents the major cause of death globally. Atherosclerosis, as the primary cause of CVD, is a chronic immune-inflammatory disorder with complex multifactorial pathophysiology encompassing oxidative stress, enhanced immune-inflammatory cascade, endothelial dysfunction, and thrombosis. An initiating event in atherosclerosis is the subendothelial accumulation of low-density lipoprotein (LDL), followed by the localization of macrophages to fatty deposits on blood vessel walls, forming lipid-laden macrophages (foam cells) that secrete compounds involved in plaque formation. Given the fact that foam cells are one of the key culprits that underlie the pathophysiology of atherosclerosis, special attention has been paid to the investigation of the efficient therapeutic approach to overcome the dysregulation of metabolism of cholesterol in macrophages, decrease the foam cell formation and/or to force its degradation. Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a secretory serine proteinase that has emerged as a significant regulator of the lipid metabolism pathway. PCSK9 activation leads to the degradation of LDL receptors (LDLRs), increasing LDL cholesterol (LDL-C) levels in the circulation. PCSK9 pathway dysregulation has been identified as one of the mechanisms involved in atherosclerosis. In addition, microRNAs (miRNAs) are investigated as important epigenetic factors in the pathophysiology of atherosclerosis and dysregulation of lipid metabolism. This review article summarizes the recent findings connecting the role of PCSK9 in atherosclerosis and the involvement of various miRNAs in regulating the expression of PCSK9-related genes. We also discuss PCSK9 pathway-targeting therapeutic interventions based on PCSK9 inhibition, and miRNA levels manipulation by therapeutic agents.

Characteristic lipids and their potential functions generated during the aging process of yak ghee

Yak ghee is an important food source for Tibetan herdsmen; however, the lipid composition, functional lipids changed and best consumption period during the aging process of yak ghee have not been determined. In this study, we identified a total of 386 lipids in Zhongdian yak ghee during aging, including glycerolipids (292 species), glycerophospholipids (47 species), sphingolipids (24 species), and fatty acyls (23 species). The lipids in yak ghee dynamically changed during aging, with the final product containing several polyunsaturated fatty acids (including linolenic acid, docosahexaenoic acid, and eicosapentaenoic acid), indicating its high nutritional value. Lipid fingerprints of yak ghee during aging revealed that triglyceride (16:0/16:0/20:5) and triglyceride (18:1/18:3/21:0) etc. were the characteristic lipids in aged yak ghee. The characteristic lipids in yak ghee were mainly enriched in the biosynthesis of unsaturated fatty acids, glycerolipid metabolism, and ether lipid metabolism pathways. This study provides insight into the lipid changes of yak ghee during aging, which offers a theoretical basis for the development of high-value yak ghee products.

Integrated analysis of per- and polyfluoroalkyl substances and plasma lipidomics profiles in multi-ethnic Asian subjects for exposome research

BackgroundPerfluoroalkyl and polyfluoroalkyl substances (PFAS) exposure has been associated with metabolic diseases, however, the underlying molecular pathogenesis remains to be understood. Integrated PFAS and lipidomic analysis has the potential to identify alterations in lipid metabolism pathways for exposome research.MethodsA targeted LC-MS/MS method was developed for the quantification of 14 PFAS from human plasma samples (n = 96). Concurrently, high coverage lipidomics was conducted for the quantification of 665 lipid species in the same plasma samples. Linear regression models were implemented to study the association of PFAS with plasma lipidome.ResultsWomen had lower levels of PFAS compared to men and Asian-Indians had lower levels of PFAS compared to both Chinese and Malay subjects. PFAS were positively associated with a number of lipid species from lysophospholipid, ceramide and triacylglycerol lipid classes. Phosphatidylinositol, acylcarnitine and sphingosine-1-phosphate were negatively associated with PFAS. Association studies revealed both shared and distinct relationship of PFAS with plasma lipids.ConclusionsWe demonstrate that the circulating levels of PFAS vary with age, ethnicity and sex within a multi-ethnic Asian population with potential implications in future biomonitoring and mitigation. Our comprehensive lipidomics methodology and association studies enabled us to characterize the relationship of circulating PFAS and lipidomic profiles. These results will help in better understanding of the molecular basis of PFAS exposure on human health outcomes.

Multi-Omics Analyses Offer Novel Insights into the Selection of Sugar and Lipid Metabolism During Maize Domestication and Improvement.

Over thousands of years of domestication, maize has undergone significant environmental changes. Understanding the genetic and metabolic trace during maize evolution can better contribute to molecular breeding and nutrition quality improvement. This study examines the metabolic profiles and transcriptomes of maize kernels from teosinte, landrace, and maize accessions at 15 days post-pollination. Differentially accumulated metabolites were enriched in sugar and lipid metabolism pathways. The metabolic selection profile exhibited four distinct patterns: continuous increases, constant decrease, initial decline or stability followed by an increase, and initial growth or stability followed by a subsequent decline. Sugars and JA were positive selection while LPCs/LPEs were negative selection during evolution. The expression level of genes related to sugar accumulation was significantly higher in maize, contrasting with enhanced glycolysis and lipid metabolism activity in teosinte. The correlation network highlighted distinct hormonal regulation of sugar and lipid metabolism. We identified 27 candidate genes associated with sugar, lipid, and JA that have undergone strong selection by population genomic regions. The positive selection of the PLD may explain the negative selection of LPCs/LPEs due to substrate competition. These findings enhance our understanding of the evolutionary trajectory of primary metabolism in maize and provide valuable resources for breeding and improvement.

Comparative transcriptomes and metabolome reveal heterosis in zig zag eel (Mastacembelus armatus)

In the process of artificial breeding, due to the lack of rigorous and standardized screening and cultivation of parent fish, the quality of M. armatus' seedlings had sharply declined, seriously affecting the sustainable and healthy development of the artificial breeding industry of M. armatus. Therefore, we set up four breeding combinations (HH, Huizhou ♂ x Huizhou ♀; KK, Kaiping ♂ x Kaiping ♀; HK, Huizhou ♂ x Kaiping ♀; KH, Kaiping ♂ x Huizhou ♀) to study the effect of hybridization on the growth performance of M. armatus. After hatching, the juvenile fish were continuously farmed for 180 days, and their total length and weight were measured every 60 days. Liver tissues from various combinations were collected for transcriptome and metabolomic analysis. Compared with the HH combination and the KK combination, the total length and weight of individuals in the HK combination and the KH combination were significantly increased, and the expression levels of GH in brain tissue and GH, IGF-Ⅰ in muscle tissue were significantly up-regulated. Transcriptome analysis showed that the growth of individuals in the dominant hybrid combination (HK combination) was related to genes such as SCD, FASN, PPARα, ACO, etc. in the lipid metabolism pathways. Metabolomic analysis showed that the glycerol content in the HK combination was significantly lower than that in the KK combination. The combined analysis of transcriptome and metabolome showed that hybrid advantage was well demonstrated in the lipid metabolism pathways, and high expression of PPARα could promote the expression of AQP9 protein, further promoting the liver's uptake and metabolism of glycerol. The research results indicated that individuals in the HK combination had higher lipid synthesis and metabolic ability, and one of the hybrid advantages of M. armatus was its efficient utilization of glycerol.

Serum metabolomics reveals the anti-aging effect of royal jelly in D-galactose induced aging mice

Aging, marked by a gradual decline in physiological functions, presents significant global health challenges. While royal jelly (RJ) is known for its biological activities, its anti-aging mechanisms require further investigation. Using a D-galactose (D-gal)-induced aging mouse model, this study applied untargeted serum metabolomics to explore RJ's effects. RJ administration significantly (P < 0.05) improved locomotor and cognitive abilities impaired by D-gal-induced aging. Metabolomic analysis showed that RJ modulates key pathways in amino acid, lipid, and nucleotide metabolism, which are essential for cellular function and energy supply. RJ enhanced the tricarboxylic acid cycle (P < 0.05), increased essential amino acids, and elevated nucleotide availability, supporting cognitive function and energy metabolism in aging mice. Notably, RJ had a stronger effect on male mice, particularly in improving lipid and nucleotide metabolism. These findings highlight RJ's potential as a promising anti-aging intervention, warranting further investigation for therapeutic applications in aging.

Understanding pathophysiology in fragile X syndrome: a comprehensive review.

Fragile X syndrome (FXS) is the leading hereditary cause of intellectual disability and the most commonly associated genetic cause of autism. Historically, research into its pathophysiology has focused predominantly on neurons; however, emerging evidence suggests involvement of additional cell types and systems. The objective of this study was to review and synthesize current evidence regarding the pathophysiology of Fragile X syndrome. A comprehensive literature review was conducted using databases such as PubMed and Google Scholar, employing MeSH terms including "Fragile X Syndrome," "FMR1 gene," and "FMRP." Studies on both human and animal models, from inception to 2022, published in recognized journals were included. The evidence supports those neurons, glial cells, stem cells, the immune system, and lipid metabolism pathways contribute to the pathophysiology of Fragile X syndrome. Further research is necessary to explore these fields independently and to elucidate their interactions.