Linoleic Research Articles

Identification of transcription factor BnHDG4-A08 as a novel candidate associated with the accumulation of oleic, linoleic, linolenic, and erucic acid in Brassica napus.

We screened 47 significantly associated haplotype blocks for oleic, linoleic, linolenic, and erucic acid, with 17 blocks influencing multiple traits. A novel candidate of transcription factor BnHDG4 A08 influencing oleic, linoleic, linolenic, and erucic acid was identified, by a joint strategy of haplotype-based genome-wide association study, genomic resequencing, gene cloning, and co-expression network Fatty acid (FA) composition determines the quality and economic value of rapeseed oil (Brassica napus). However, the molecular network of FAs is unclear. In the current study, multi-strategies of haplotype-based genome-wide association study (GWAS), genomic resequencing, gene cloning, and co-expression network were joint to reveal novel genetic factors influencing FA accumulation in rapeseed. We identified 47 significantly associated haplotype blocks for oleic, linoleic, linolenic, and erucic acid, with 17 blocks influencing multiple traits, using a haplotype-based GWAS with phenotype data from 203 Chinese semi-winter accessions. A total of 61 rapeseed orthologs involved in acyl-lipid metabolism, carbohydrate metabolism, or photosynthesis were identified in these 17 blocks. Among these genes, BnHDG4-A08, encoding a class IV homeodomain leucine-zipper transcription factor, exhibited two single-nucleotide polymorphisms (SNPs) in the exon and intron, with significant associations with oleic, linoleic, linolenic, and erucic acid. Gene cloning further validated two SNPs in the exon of BnHDG4-A08 in a population with 75 accessions, leading to two amino acid changes (T372A and P366L) and significant variation of oleic, linoleic, linolenic, and erucic acid. A competitive allele-specific PCR (KASP) marker based on the SNPs was successfully developed and validated. Moreover, 98 genes exhibiting direct interconnections and high weight values with BnHDG4-A08 were identified through co-expression network analysis using transcriptome data from 13 accessions. Our study identified a novel FA candidate of transcription factor BnHDG4-A08 influencing oleic, linoleic, linolenic, and erucic acid. This gene provides a potential promising gene resource for the novel mechanistic understanding of transcription factors regulating FA accumulation.

Laoxianghuang polysaccharide promotes the anti-inflammatory cytokine interleukin-10 in colitis via gut microbial linoleic acid

BackgroundOur previous study found that the polysaccharide from Laoxianghuang (LP), fermented fruit of bergamot (traditional Chinese medicine and food), can alter gut microbiota and regulate short-chain fatty acids (SCFAs) in vitro. Nevertheless, there is a paucity of reports on the impact of LP on gut microbiota in vivo. PurposeTo analyze the structures of LP, investigate the influence of LP on the damaged intestinal barrier in DSS-induced colitis mice, and further explore its potential mechanisms. MethodsWe analyzed the physicochemical properties of purified LP by HPLC, SEM, and FT-IR spectrum. Then, to assess the effect of LP in DSS-induced colitis mice, we observed the damage to the colon tissue, measured inflammatory cytokines and tight junction protein expression through RT-qPCR as well as immunofluorescent staining, and investigated the influence of LP on altering gut microbiota and metabolites using 16 s rRNA sequencing and HPLC-MS/MS. Ultimately, the impact of linoleic acid on inflammatory cytokines was confirmed by the LPS-induced RAW264.7 cells. ResultsLP, mainly galactoglucan, could inhibit weight loss and colon shortening, decrease levels of tumor necrosis factor-α (TNF-α), increase levels of interleukin-10 (IL-10) and the intestinal acetic acid and butyric acid, and promote the expression of tight junction proteins ZO-1 and Claudin-1. Meanwhile, LP enhanced the abundance of beneficial bacteria including Romboutsia, Eubacterium_coprostanoligenes_group, and Akkermansia, and regulated linoleic acid metabolism to increase the linoleic acid level. In vitro cell experiment proved that linoleic acid could elevate the level of IL-10 and inhibit inflammatory responses. ConclusionsOur results suggested that LP effectively alleviated colitis by promoting the anti-inflammatory cytokine interleukin-10 via gut microbiota-mediated linoleic acid metabolism.

Low‐Temperature Domestic Deep‐Frying of Soybean‐Cake Tempe in Vegetable Cooking Oils: How Many Times Are Stable to Use?

ABSTRACTTempe has gained global popularity, with local vegetable oils commonly used for frying. This study evaluates the cooking temperature and stability of five vegetable oils (olive [Oo], palm [Po], canola [Cnlo], sunflower [Sfo], and coconut [Cco]) for deep‐frying Tempe, using acid and peroxide values (AV and PV), antiradical activity, and saturated and unsaturated fatty acids. AV, PV, and linolenic acid (LNA) were referenced to international standards for vegetable oil (0.6 mg KOH/g, 10 mEq of oxygen/kg oil, and 2% for AV, PV, LNA respectively). The initial oil temperature was 130°C ± 1°C, with final temperatures between 145.7°C ± 6.8°C at the lowest and 156.8°C ± 13.0°C at the highest, well below existing studies (≥170°C–250°C). Based on AV and PV, Oo, Po, and Cco were stable up to the fourth, fifth, and eighth frying repeat (FR). The PV of Cnlo (10.2 mEq of oxygen/kg oil) and Sfo (15.5 mEq of oxygen/kg oil) exceeded the maximum limit after one use. The Fresh Cnlo LNA (7.35%) was higher than the limit, while the rest of the oils remained lower and stable until the seventh FR. Po exhibited the highest average antiradical activity (85.42% ± 4.63%), followed by Oo (31.01% ± 10.26%), Sfo (27.96% ± 9.67%), Cnlo (21.85% ± 5.71%), and Cco (14.40% ± 3.46%). Cco had the highest saturated fatty acids (SFA), Oo had the highest monounsaturated fatty acids (MUFA), and Sfo had the highest polyunsaturated fatty acids (PUFA). No significant SFA, MUFA, or PUFA changes were observed up to the seventh FR. Trans‐fatty acids C18:1n 9T and C18:2n 6T were undetected in fresh and used oil, indicating a unique character in low‐temperature deep‐frying in domestic settings. This study provides a comprehensive analysis of low‐temperature deep‐frying of Tempe. It suggests that Oo, Po, Cnlo, Sfo, and Cco were stable to deep‐fried Tempe for four, five, zero, one, and eight FR, respectively. Deep‐frying Tempe at lower temperatures and for a shorter duration may enhance its health benefits and help retain its flavor.”

LC-MS-based serum metabolomics analysis and potential biomarkers for oxaliplatin induced neurotoxicity in colorectal cancer

Oxapliplatin-induced peripheral neuropathy (OIPN) is a significant adverse effect encountered in patients with colorectal cancer undergoing oxaliplatin therapy. However, the pathogenesis of OIPN remains unclear. This study aimed to identify potential diagnostic biomarkers for OIPN and discover the metabolic pathways associated with the disease. Serum samples were collected from 218 subjects, including patients with OIPN and control (CONT). The metabolite profiles were analyzed using nontargeted liquid chromatography-mass spectrometry (LC-MS) serum metabolomics method. Subsequently, differentially altered metabolites were identified and evaluated through multivariate statistical analyses. In this study, patients with OIPN and CONT were distinguished by ten significant metabolites. The levels of racemethionine, O-acetylcarnitine, stearolic acid, aminoadipic acid, iminoarginine, galactaric acid, and all-trans-retinoic acid were increased, whereas the levels of 3-methyl-L-tyrosine, 5-aminopentanoic acid, and erythritol compared were found to be diminished in patients with OIPN when compared to the CONT. Through receiver operating characteristic (ROC) curve analysis, racemethionine, stearolic acid, 5-aminopentanoic acid, erythritol, aminoadipic acid, and all-trans-retinoic acid were pinpointed as promising biomarkers for OIPN. Significantly altered pathways included amino acids (arginine biosynthesis, beta-alanine metabolism, arginine and proline metabolism, alanine, aspartate and glutamate metabolism, lysine degradation, and phenylalanine, tyrosine and tryptophan biosynthesis), lipid (linoleic acid metabolism and the biosynthesis of unsaturated fatty acids), and energy metabolism. This study, by identifying serum biomarkers and dissecting metabolic pathways, offers a groundbreaking perspective on the susceptibility mechanisms underlying OIPN. It stands as an invaluable resource for the adjunctive diagnosis of OIPN, with the potential to diminish the incidence of adverse reactions and to enhance the objectivity and reliability of clinical diagnoses of OIPN.

Differential serum metabolites in patients with pregnancy-associated venous thromboembolism analyzed using GC-MS/LC-MS untargeted metabolomics

Untargeted metabolomics can be used for the comprehensive analysis of metabolite profiles in biological samples without preset targets, making them particularly suitable for exploring metabolic characteristics and potential mechanisms in complex diseases. Therefore, in this study, we employed gas chromatography–mass spectrometry (GC-MS) and liquid chromatography–mass spectrometry (LC-MS) techniques to analyze the serum metabolic characteristics of patients with pregnancy-associated venous thromboembolism (PA-VTE). In this study, 11 pregnant women with VTE and 11 healthy pregnant women were included in the experimental and control groups, respectively. Using GC-MS, we identified 325 metabolites, with the highest proportion being organic oxygen compounds. Using LC-MS, we identified 3104 metabolites, with the highest proportion being acylcarnitine. The results revealed significant differences in the levels of lipids, organic compounds, and other metabolites between patients compared to healthy pregnant women. Pathways such as pyrimidine metabolism, linoleic acid metabolism, and mineral absorption differed between patients with PA-VTE and controls. Furthermore, we identified biomarkers associated with metabolic processes, such as fatty acids and amino acids (2-hydroxyhexanedioic acid, hexadecenal, palmitoylethanolamide, glycerol-1-phosphate, and N-acetyl-beta-D-glucosamine). These findings revealed the metabolic characteristics of PA-VTE and provided important clues for further research on its pathophysiological mechanisms. Our findings may contribute to the development of new diagnostic markers and support early diagnosis and treatment of PA-VTE.

Flax lignans regulate the conversion of α-linolenic acid into n-3 LCPUFAs in mice ingesting sunflower phospholipid-stabilized nanoemulsions

Flax lignans regulate the conversion of α-linolenic acid into n-3 LCPUFAs in mice ingesting sunflower phospholipid-stabilized nanoemulsions

The effect of mechanical glass transition temperature on the oxidation rates of omega fatty acids in condensed biopolymer matrices

The concept of glass transition has been used in food products to study their stability, extending shelf life and enhancing organoleptic desirability. This investigation evaluates the effect of three-dimensional structure as a barrier to oxidation of omega fatty acids in condensed hydrocolloid-based matrices. Two high-solid preparations were employed: κ-carrageenan with glucose syrup and genipin-crosslinked gelatin with polydextrose. They supported discontinuous microscopic inclusions of linoleic and linolenic acids within the rubber-to-glass transition region of the condensed mixtures. Glass transition temperatures (Tg) were estimated using differential scanning calorimetry and in-shear dynamic oscillation. The rate of lipid oxidation was monitored by analysing hydroperoxide (ROOH) production during each oxidation phase. The structural transformation of the supporting matrices as a function of temperature significantly affects the oxidation processes. The mechanical or network Tg exhibited higher values than the calorimetric Tg, supporting reduced lipid oxidation rates by suppressing ROOH accumulation in the densified glassy matrices.

Mass spectrometry unveils heat-induced changes in yolk oxylipins and key lipid molecules during home cooking

IntroductionOxylipins, as a widespread class of metabolic markers following oxidative stress, and several studies have reported dietary regulation of lipid metabolism. However, there is a lack of investigation of dietary oxylipins, especially cooking-induced changes in food lipid oxidation. ObjectivesInvestigated the effects of cooking methods and lipid profiles on polyunsaturated fatty acids derived oxylipins generation within egg yolks. MethodsThe lipid profile of egg yolk was determined by UPLC-QTOF-MS/MS, oxylipins were detected by HPLC-QTRAP-MS/MS, while the total fatty acid content was quantified by GC-FID. Random Forest (RF) and Partial Least Squares (PLS) regression models were employed to explore the association between oxidized lipids and key lipid species. ResultsHeating reduced egg yolk docosahexaenoic acid (DHA) content, and no consistent trends for arachidonic acid (AA), linoleic acid (LA), and linolenic acid (ALA). Yolk lipid composition affected triacylglycerol (TG), phosphatidylethanolamine (PE), and LA-monoepoxide contents after cooking. 9- and 13-HODE (hydroxyoctadecadienoic acid), 9,10,13-TriHOME (trihydroxyoctadecenoic acid), 9,10- and 12,13-EpOME (epoxyoctadecenoic acid), 9,10- and 12,13-DiHOME (dihydroxyoctadecenoic acid), 5-HETE (hydroxyeicosatetraenoic acid), and 4-HDHA (hydroxydocosahexaenoic acid) were the prevalent oxylipins with high concentrations, accounting for 1.08 %–29.58 % of the total content of 29 oxylipins. Steaming resulted in a 1.9-fold increase in oxylipin concentrations in yolks compared to raw yolks, and boiling with or without shells (poaching) resulted in a 1.30- to 1.76-fold increase in oxylipin concentrations. In contrast, pan-fried yolks exhibited the lowest and least variable levels of total oxylipins, while still retaining some epoxides, including epoxyeicosatrienoic acid (EET) and EpOME. Utilizing big data analysis, we mapped the oxylipin network in both ordinary and DHA-enriched egg yolks, revealing a strong correlation between cooking-induced oxylipin production and variations in 24 lipid species. ConclusionRevealed the potential mechanisms and key lipid molecules for heating-induced oxylipin production of yolk through lipidomics and big data analysis.

Effects of Stress on Biological Characteristics and Metabolism of Periodontal Ligament Stem Cells of Deciduous Teeth

Introduction and AimsPeriodontal ligament stem cells (PDLSCs) from deciduous teeth (DePDLSCs) can perceive and respond to mechanical signals upon exposure to various environments. The effects of mechanical stress on the biological characteristics and metabolism of DePDLSCs were investigated using in vitro stress loading. MethodsDePDLSCs were subjected to mechanical stresses of different strengths. Cell proliferation, expression of osteogenic/osteoclastic factors, apoptosis, and oxidative stress levels were evaluated using CCK-8 assays, alkaline phosphatase staining, real-time PCR, flow cytometry, and malondialdehyde and superoxide dismutase assays. Liquid chromatography-mass spectrometry was used to perform nontargeted metabolomic detection and analysis. ResultsUnder stresses of 75 and 150 kPa, the expression of osteogenesis-related factors OPG, ALP, and RUNX2 decreased, and the ratio of RANKL/OPG significantly increased. A pressure of 150 kPa induced oxidative stress and caused a significant increase in cell apoptosis. Among the differential metabolites screened from the 150 kPa group, spermine, spermidine, ceramide, phosphatidylethanolamine, lysophosphatidylethanolamine, linoleic acid, and docosatrienoic acid were the most significantly upregulated. The metabolites screened from the 75 kPa group were mainly related to glycerophospholipid and sphingolipid metabolism, oxidative phosphorylation, and mineral absorption, which were common pathways affected in both experimental groups. ConclusionA certain degree of mechanical stress can inhibit the proliferative activity and osteogenic differentiation of DePDLSCs, enhance their osteoclast-inducing ability, and cause elevated levels of cell apoptosis and oxidative stress. The metabolic expression profile of DePDLSCs changed significantly under stress. Understanding changes in cellular activity and metabolic reactions may provide an experimental basis for elucidating the role of mechanical stress in root resorption and periodontal tissue remodelling of deciduous teeth. Clinical RelevanceMechanical stress may affect periodontal tissue remodeling and root resorption of DePDLSc.

Chitosan nanoparticle-mediated drug delivery for linoleic acid isolated from Melastomastrum capitatum Fern. leaf extract against MCF-7 and OV7 cancer cells

The number of cancer cases worldwide is rising, resulting in approximately 40 million deaths each year due to the inability to effectively deliver drugs that specifically target cancer cells. The study's aim was to utilize chitosan nanoparticles containing linoleic acid extracted from Melastomastrum capitatum leaves to specifically target MCF-7 and OV7 cancer cells. The study conducted toxicity tests on Wistar rats to evaluate the potential harmful effects of the extract at different doses. It also examined the extract's impact on vital organs through histopathological analysis. Chitosan nanoparticles containing the extract were developed using the spray drying method. In addition, the study analyzed various characteristics of the chitosan-loaded extract, such as % yield, drug entrapment efficiency, morphology, particle size, thermal properties, drug release, and swelling index. In vitro studies were conducted on MCF-7 and OV7 cell lines to assess the extract's anticancer properties. In vivo studies were performed on tumor-induced Wistar rats, with five rats in each of the five groups, using hemocytometer trypan blue cell counting. The study found that the crude leaf extract of M. capitatum (MCE) was well tolerated at a dose of 5000 mg/kg in rats, with only partial congestion observed in the lungs and testis. The extract exhibited higher cytotoxicity against the ovarian cancer cell line OV7 compared to the breast cancer cell line MCF-7, with an IC50 value of 10.13±2.20. In vitro studies showed that a chitosan nanoparticle-loaded version of the extract (CSLA3) induced apoptosis and increased caspase-3 activity in OV7 cells. In vivo studies showed that treatment with the chitosan-loaded extract significantly increased mean survival time and percentage increase in life span in tumor-induced rats. Tumor cell volume and viable cell counts decreased, while non-viable cell count increased in the treated group. The study concluded that CSLA3 effectively inhibited the growth of ovarian cancer cells and demonstrated the potential of chitosan nanoparticles to deliver anticancer plant extracts. This also supports the traditional use of M. capitatum leaf extract as a treatment for ovarian cancer.

Development of method and analysis protocol for fatty acids derivatives of castor oil by using gas chromatography-mass spectrometry

Castor oil is a vegetable oil extracted from castor beans, known for its diverse applications across the chemical industry, food industry, skincare products, biodiesel components, and pharmaceuticals. Analyzing the fatty acid composition of castor oil using Gas Chromatography-Mass Spectrometry (GC-MS) can be complex due to various factors inherent to fatty acids and the oil's composition. Therefore, the goal of this study is to effectively separate and analyze the major fatty acids present in castor oil using GC-MS. Castor oil was methylated using alcoholic potassium hydroxide, then neutralized with salicylic acid and centrifuged. The supernatant was diluted and injected into the GC-MS with a developed temperature program. The results indicated that castor oil contains five fatty acids: ricinoleic acid methyl ester, oleic acid methyl ester, linoleic acid methyl ester, stearic acid methyl ester, and palmitic acid methyl ester, with respective concentrations of 87.63%, 1.81%, 6.57%, 2.93%, and 1.07%. Among these, methyl ricinoleate was the most abundant at approximately 87.36%, while palmitic acid methyl ester had the lowest concentration at 1.07%. The order of fatty acids detected was methyl ricinoleate > linoleic acid > stearic acid > oleic acid methyl ester > palmitic acid. To our knowledge, this is the first report of an easy and efficient method for the analysis of castor oil. In conclusion, the developed methylation of castor oil and gas chromatography temperature program are suitable for the routine analysis of castor oil.

Fatty Acid Composition Analysis of Some Apiaceae Plants Using Gas Chromatography-Flame Ionization Detector (GC-FID)

Background/aim: The Apiaceae family, also referred to as the parsley or carrot family, comprises a diverse group of plants with significant ecological and economic importance. The fundamental building blocks of plant lipids, fatty acids are involved in a number of critical biological functions. Flame ionization detection in gas chromatography (GC-FID) is a potent analytical method widely used for the qualitative and quantitative analysis of fatty acid composition in plant samples. Materials and methods: In this study, we investigated the fatty acid profiles of several Apiaceae plants using GC-FID to elucidate their lipid composition and potential applications. Results: A wide spectrum of fatty acids was confirmed, ranging from C6:0 to C22:6. Astrodaucus orientalis leaf and fruit were found rich in palmitic acid (C16:0; 35.96% and 37.65%, respectively). Ferulago asparagifolia was determined as the richest sample in terms of poly-unsaturated fatty acids such as linoleic acid (C18:2 cis, 25.65%), alpha linoleic acid (C18:3n3, 7.42%) and eicosadienoic acid (C20:2, 32.66%). Ferulago syriaca ethanol and hexane extracts contained considerable amount of oleic acid (C 18:1 n9, 40. 37% and 49.19%, respectively). Conclusion: Our review of the literature revealed that no prior reports have been made about the fatty acid compositions of Astrodaucus orientalis, Ferulago asparagifolia and Ferulago syriaca. As a result, the information provided here may be the first to describe the fatty acid contents of these species. Exploring the lipid profiles of these plants can enhance their potential applications in the food, pharmaceutical, and cosmetic industries.

Unraveling the genetic basis of oil quality in olives: a comparative transcriptome analysis.

The balanced fatty acid profile of olive oil not only enhances its stability but also contributes to its positive effects on health, making it a valuable dietary choice. Olive oil's high content of unsaturated fatty acids and low content of saturated fatty acids contribute to its beneficial effects on cardiovascular diseases and cancer. The quantities of these fatty acids in olive oil may fluctuate due to various factors, with genotype being a crucial determinant of the oil's quality. This study investigated the genetic basis of oil quality by comparing the transcriptome of two Iranian cultivars with contrasting oil profiles: Mari, known for its high oleic acid content, and Shengeh, characterized by high linoleic acid at Jaén index four. Gas chromatography confirmed a significant difference in fatty acid composition between the two cultivars. Mari exhibited significantly higher oleic acid content (78.48%) compared to Shengeh (48.05%), while linoleic acid content was significantly lower in Mari (4.76%) than in Shengeh (26.69%). Using RNA sequencing at Jaén index four, we analyzed genes involved in fatty acid biosynthesis. Differential expression analysis identified 2775 genes showing statistically significant differences between the cultivars. Investigating these genes across nine fundamental pathways involved in oil quality led to the identification of 25 effective genes. Further analysis revealed 78 transcription factors and 95 transcription binding sites involved in oil quality, with BPC6 and RGA emerging as unique factors. This research provides a comprehensive understanding of the genetic and molecular mechanisms underlying oil quality in olive cultivars. The findings have practical implications for olive breeders and producers, potentially streamlining cultivar selection processes and contributing to the production of high-quality olive oil.

Targeted LC-MS/MS method of oxylipin profiling reveals differentially expressed serum metabolites in type 2 diabetes mice with panaxynol

Panaxynol is a bioactive polyacetylene in food plants; however, its specific benefits in diabetes and metabolic disorders remain unclear. Previous studies have mainly focused on biochemical indicators and clinical evaluations. Limited research has systematically elucidated the beneficial effects of panaxynol from the oxylipins perspective. In this study, we employed an oxylipin analysis platform we previously established using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) based on the multiple reaction monitoring (MRM) method for the profiling of oxylipins. After a 7-week administration of panaxynol to db/db mice, significant alterations in serum oxylipins and potential benefits to hyperglycemia, insulin resistance, and hepatic steatosis were observed. Our analysis also revealed correlations among epoxygenase products derived from arachidonic acid (AA), linoleic acid (LA), and α-linolenic acid (ALA) via cytochrome P450 (CYP) pathways. Furthermore, six potential oxylipins were identified, as offering insights into the mechanisms by which panaxynol may modulate diabetes. These results provide the first in vivo evidence of the impact of panaxynol on oxylipin metabolism and lay the foundation for developing panaxynol as a nutraceutical for diabetes management.

FAHFA promotes intracellular calcium signaling via activating the fat taste receptor, CD36 and Src protein kinases in mice taste bud cells

Two lipid sensors, CD36 and GPR120, are crucial for the orosensory detection of fat taste and for mediating fat preference. However, the mechanism by which endogenous lipid (FAHFA) binds to CD36 to initiate intracellular signaling remains unexplained. Hence, the primary objective of this study is to investigate the binding mechanism of FAHFA to CD36 and its role in isolated mouse taste bud cells (mTBCs). The Schrodinger platform was used to assess the molecular dynamics of protein and ligand interactions, and an in vitro experiment was used to validate the findings. Based on the docking score of the ligand, the molecular mechanistic activities of the targeted complexes, CD36–5-POHSA (−8.2 kcal/mol), were investigated using the dynamic simulation. In comparison to linoleic acid (LA), POHSA rapidly increased [Ca2+]i via acting on CD36, and 5-POHSA treatment in mTBCs activated src-kinase at 20 μM. CD36 siRNA transfection in TBCs downregulate the CD36 protein expression as well as [Ca2+]i flux. This study suggests that 5-POHSA may help combat taste abnormalities and the adverse effects of obesity by binding to the lingual CD36 receptor and activating the tongue-brain axis.

Linking Ab initio density functional theory with modelling reaction microkinetics to understand catalytic fatty acids hydro-deoxygenation intermediate species selectivity

Catalyst surfaces enable the catalytic reactions via binding of substrates and lowering the reaction barriers to obtain the desired products. Separating the binding process from the reaction barriers enables us the understanding of surface properties and enables the reaction engineering strategies such as choice of solvents or functional groups protections. Through the modelling of the hydrodeoxygenation (HDO) of fatty acids, namely Stearic, Oleic, Linoleic, Myristic and Decanoic acid we show why the alkanes are the ideal solvent choice for NiMoS catalyst, why the alcohols side products form, regardless of the kinetic constant indicating fast dehydration, why the aldehydes intermediates are rarely detected and why hydrogenation of double bonds supersedes other kinetics events. We confirm the DFT calculations by integrating them into the kinetic model which confirms that the obtained results are sensible and usable in reaction engineering. The results are supported by the detailed characterization of the NiMoS catalyst.

Biodegradation and high-value utilization of waste cooking oil: Strategies and mechanisms for producing lipopeptide biosurfactants using Bacillus subtilis YZQ-2

This study explored the strategies and mechanisms of Bacillus subtilis YZQ-2 in producing lipopeptide biosurfactants using waste cooking oil (WCO) as a raw material. The optimal conditions achieved a WCO utilization rate of 75.88% and a biosurfactant yield of 0.30g/L at pH 6.0, 30°C, with 20g/L WCO and 5g/L yeast extract. GC-MS analysis of degradation products at different intervals elucidated the mechanism of WCO degradation. After 72hours of fermentation, a reduction in linoleic and palmitic acid levels indicated the completion of lipid hydrolysis and the continuation of β-oxidation. The biosurfactants, identified as lipopeptides (surfactin and fengycin), exhibited stability in alkaline environments (pH 7.0-11.0) and high-salt concentration (5-45g/L). Genomic and transcriptomic analyses of Bacillus subtilis YZQ-2 revealed genes associated with biosurfactant production, which were upregulated in the presence of WCO. The differential expression values (log2 fold change) were SrfAA 3.30, SrfAB 3.31, SrfAC 3.63, FenA 2.42, FenB 2.55, FenC 1.99, FenD 2.03 and FenE 2.29, respectively. The proposed biosynthesis pathway of lipopeptides begins with the hydrolysis of WCO by lipase into glycerol and fatty acids. The glycerol is then transformed into pyruvate through glycolysis, entering the Tricarboxylic Acid cycle. Additionally, pyruvate contributes to synthesizing amino acids and branched-chain fatty acids, which serve as precursors for lipopeptide synthesis. These findings underscore the potential of WCO as a sustainable feedstock for biosurfactant production.

Unveiling the Chemical Constituents and Inhibitory Roles of Extracts from Pinus Pinea L. Nut and Nutshell: A Novel Source for Pharmaceutical Antimicrobials.

Antibiotic resistance in infectious diseases has been a serious problem for the last century, and scientists have focused on discovering new natural antimicrobial agents. Pinus pinea has been used as a natural pharmacotherapeutic agent with antimutagenic, anticarcinogenic, and high antioxidant properties. In this study, GC-MS and LC-HR/MS were employed to analyze Pinus pinea L. nut and nutshell extracts. DPPH radical scavenging assay was performed to analyze the antioxidant properties of the extracts, but no activity was determined. GC-MS analysis showed that linoleic, oleic, and palmitic acids were the three most dominant fatty acids in nut and nutshell extracts, with ratios between 6.75 % and 47.06 % (v/v). LC-HR/MS revealed that the nutshell methanol extract had a higher phenolic content than other extracts, with vanillic acid (1.4071 mg/g). Antimicrobial activity assays showed that the minimum inhibitory concentrations (MIC) of the extracts varied between 5.94 and 190 mg/mL, and the most significant inhibition was seen in the nutshell methanol extract (MICs: between 5.94 and 47.5 mg/mL). Consequently, the antimicrobial activity of the extracts can be attributed to the dense fatty acids they contain, and the nutshell methanol extract showed the most potent inhibition related to the abundance of phenolic compounds in the extract.

Integrating fecal metabolomics and gut microbiome to reveal the mechanism of Schisandra chinensis-Acorus tatarinowii Schott treatment in Alzheimer’s disease rats

BackgroundSchisandra chinensis (Turcz.) Baill (Schisandraceae) and Acorus tatarinowii Schott (Araceae Juss) (Sc-At) are two traditional Chinese medicinal herbs that are widely used in the treatment of neurological disorders such as insomnia. In our previous study, we found that Sc-At could improve the therapeutic efficacy of Alzheimer’s disease by affecting aromatase activity and estrogen levels, among other pathways. Material and methodsIn this study, first, the ameliorative effect of Sc-At on cognitive dysfunction in Alzheimer’s disease model rats was verified by Y-maze test together with Elisa assay. Second, fecal untargeted metabolomics analysis was performed using a UPLC-Q-TOF/MS-based metabolomics approach. 16S rDNA sequencing was utilized to screen the differential flora between groups, and linear discriminantan alysis effect size (LEfSe) was used to find the target flora. Finally, Spearman correlation analysis was combined to find the relationship between differential flora and differential metabolites in feces. Results(1) The results of Y-maze test and Elisa assay indicated that Sc-At could improve the cognitive dysfunction of AD model rats. (2) Metabolomics results showed that fecal metabolite levels were significantly different from those of rats in the blank group, and 18 potential biomarkers in feces were screened, mainly affecting linoleic acid metabolism, steroid hormone biosynthesis, sphingomyelin metabolism, riboflavin metabolism, etc. The 16S rDNA results showed that the abundance and diversity of intestinal flora in AD rats were destroyed, and the Sc-At treatment was able to reverse these changes. (3) Spearman’s correlation analysis showed a significant correlation between differential metabolites in feces and intestinal flora, further suggesting that Sc-At treats Alzheimer’s disease through the gut-brain axis. ConclusionsIn this study, we explored the mechanism of Sc-At in the treatment of Alzheimer’s disease by integrating fecal untargeted metabolomics and 16S rDNA gene sequencing, and the results showed that Sc-At exerts therapeutic effects on Alzheimer’s disease by improving the intestinal flora and related metabolic pathways.

Differential intestinal microbes and metabolites between Behcet's uveitis and Fuchs syndrome

ObjectiveBehcet's uveitis (BU) is a type of uveitis with a high rate of blindness, characterized by anterior segment inflammation, vitreous opacity, and retinal vasculitis. Its pathogenesis is still unclear. Fuchs syndrome (Fuchs) is another common type of uveitis, which clinically presents with anterior segment inflammation and vitreous opacity, but rarely causes blindness. This study aims to compare the gut microbiota and metabolites of two different types of uveitis to clarify whether the differences in clinical manifestations are relevant to the alterations in gut microbiota. MethodsFaecal samples were collected from new-onset BU (n = 11) patients without systemic treatment and other diseases. 16S rRNA and liquid chromatography-tandem mass spectrometry (LC-MS/MS) were performed to analyze gut microbes and metabolites. Fuchs (n = 15) was used as the disease control, and healthy controls (n = 18) without autoimmune diseases and systemic medication were included. ResultsMicrobial composition and metabolite profiles differed significantly among the three groups. Compared to controls, Fusicatenibacter and eight metabolites were specifically altered in BU patients, and Pantoea and five metabolites in Fuchs. Pathways involving delta-tocopherol, palmitic acid, and serotonin are significantly disrupted in BU patients. Pathways involving linoleic acid are dysregulated considerably in Fuchs. Microbial markers consisting of 4 genera and 7 metabolites can respectively distinguish BU patients from controls. AUC values of metabolite markers were greater than those of microbial markers. Furthermore, serum zonulin levels were significantly elevated in both types of uveitis, with no difference between them. Correlation analysis revealed correlations between zonulin levels and multiple microbes. ConclusionsPatients with BU and Fuchs syndrome showed significant differences in gut microbiota and metabolites. Disruption of the intestinal mucosal barrier was observed in both types of uveitis. However, the mechanism of different intestinal microbiota causing different clinical manifestations needs to be studied in the future.