PubMed

J Sep Sci. 2023 Oct 8:e2300196. doi: 10.1002/jssc.202300196. Online ahead of print.ABSTRACTAfter medicinal market research, it was found that the harvest time of Ligustri Lucidi Fructus (LLF) was chaotic in practice. In order to determine the optimal harvest period of LLF to ensure its pharmacological activity, metabolomics analysis of LLF at different harvest times based on ultra-high-performance liquid chromatography-triple quadrupole-(linear ion trap)-tandem mass spectrometry was established. In this study, 166 differential metabolites (DMs) in 448 metabolites at different harvest times were screened out based on variable importance in projection value, and among them, 94 DMs with regular trends of change in relative content (59 increased and 35 decreased with the growth period) were chosen to further research. The result of the multivariate statistical analysis showed that November was the optimal harvest period of LLF. Additionally, 10-hydroxyligustroside, oleoside 11-methyl ester, and salidroside were screened out to be used as the evaluation indicators of immature LLF, while specnuezhenide, nuezhenoside G13, and neonuezhenide were the evaluation indicators of mature LLF. This study provides fundamental insight for metabolite identification and proposes the best harvest period of LLF to avoid confusion in the medicinal market.PMID:37806751 | DOI:10.1002/jssc.202300196

J Dairy Sci. 2023 Oct 6:S0022-0302(23)00722-1. doi: 10.3168/jds.2023-23851. Online ahead of print.ABSTRACTMastitis is one of the most significant diseases in dairy cows and causes several economic losses. Somatic cell count (SCC) is often used as an indirect diagnostic tool for mastitis, especially for subclinical mastitis (SCM) where no symptoms or signs can be detected. Streptococcus agalactiae is one of the main causes of contagious mastitis, while Prototheca spp. is an alga inducing environmental mastitis that is not always correlated with increased milk SCC. The aim of this study was to evaluate the changes in the metabolomic profile of blood in relation to subclinical intramammary infection (sIMI) in dairy cows. In addition, differences due to the etiologic agent causing mastitis were also considered. Forty Holstein-Friesian dairy cows in mid and late lactation were enrolled in this study with a cross-sectional design. Based on the bacteriological examination of milk, the animals were divided into 3 groups: Group CTR (control group; n = 16); Group A (affected by SCM with IMI of Streptococcus agalactiae; n = 17); and Group P (affected by SCM with IMI of Prototheca spp.; n = 7). Blood samples were collected in tubes containing clot activator from jugular vein. The serum aliquot was stored until metabolomic analysis by 1H-NMR. Statistical analysis was conducted fitting a linear model with the group as fixed effect and SCC as covariate. Forty-two metabolites were identified and among them, 10 were significantly different among groups. Group A and P showed greater level of His and lactose, and lower level of acetate, Asn, and dimethylamine compared with Group CTR. Group A showed high level of Val, while the Group P showed also high level of Cit and methylguanidine, and lower level of 3-hydroxybutyrate, acetone, allantoin, carnitine, citrate, and ethanol. These metabolites were related to ruminal fermentations, energy metabolism, urea synthesis and metabolism, immune and inflammatory response, and mammary gland permeability. These results are suggestive of a systemic involvement of sIMI and that the metabolic profile of animals with SCM undergoes changes related to the etiological agent of mastitis.PMID:37806625 | DOI:10.3168/jds.2023-23851

J Dairy Sci. 2023 Oct 6:S0022-0302(23)00713-0. doi: 10.3168/jds.2023-23572. Online ahead of print.ABSTRACTIn a previously established animal model, 38 multiparous Holstein cows were assigned to 2 groups fed different diets to achieve either a normal (NBCS) or high (HBCS) body condition score (BCS) and backfat thickness (BFT) until dry-off at -49 d before calving [NBCS: BCS <3.5 (3.02 ± 0.24) and BFT <1.2 cm (0.92 ± 0.21); HBCS: BCS >3.75 (3.82 ± 0.33) and BFT >1.4 cm (2.36 ± 0.35), mean ± SD]. The groups were also stratified for comparable milk yields (NBCS: 10,361 ± 302 kg; HBCS: 10,315 ± 437 kg; mean ± SD). The cows were then fed the same diet during the dry period and subsequent lactation, maintaining the differences in BFT and BCS throughout the study. Using the serum metabolomics data, we created a classification model that identified different metabotypes. Machine learning classifiers revealed a distinct cluster labeled HBCS-PN (HBCS predicted normal BCS) among over-conditioned cows. These cows showed higher feed intake and better energy balance than the HBCS-PH (high BCS predicted high BCS) group, while milk yield was similar. The aim of this study was to investigate the changes in the hepatic transcriptome of cows differing in serum-metabotype postpartum. We performed hepatic transcriptome analysis in cows from 3 metabolic clusters: HBCS-PH (n = 8), HBCS-PN (n = 6), and normal BCS predicted normal BCS (NBCS-PN, n = 8) on d 21 (±2) postpartum. Liver tissue from cows expressed a total of 13,118 genes aligned with the bovine genome. A total of 48 differentially expressed genes (DEG; FDR ≤0.1 and fold-change >1.5) were found between NBCS-PN and HBCS-PH cows, whereas 24 DEG (14 downregulated and 10 upregulated) were found between HBCS-PN and HBCS-PH cows. The downregulated DEG (n = 31) in NBCS-PN cows compared with HBCS-PH cows are involved in biosynthetic processes like lipid, lipoprotein, and cholesterol synthesis (e.g., APOA1, MKX, RPL3L, CANT1, CHPF, FUT1, ZNF696), cell organization, biogenesis, and localization (e.g., SLC12A8, APOA1, BRME1, RPL3L, STAG3, FBXW5, TMEM120A, SLC16A5, FGF21), catabolic processes (e.g., BREH1, MIOX, APOBEC2, FBXW5, NUDT16), and response to external stimuli (e.g., APOA1, FGF21, TMEM120A, FNDC4), whereas upregulated DEG (n = 17) are related to signal transduction and cell motility (e.g., RASSF2, ASPN, SGK1, KIF7, ZEB2, MAOA, ACKR4, TCAF1), suggesting altered metabolic adaptations during lactation. Our results showed 24 DEG between HBCS-PN and HBCS-PH in the liver.The expression of SLC12A8, SLC16A5, FBXW5, OSGIN1, LAMA3, KDELR3, OR4X17, and INHBE, which are responsible for regulating cellular processes was downregulated in HBCS-PN cows compared with HBCS-PH cows. In particular, the downregulation of SLC12A8 and SLC16A5 expression in HBCS-PN cows indicates lower metabolic load and reduced need for NAD+ biosynthesis to support mitochondrial respiratory processes. The upregulation of MAOA, ACKR4, KIF27, SFRP1, and CAV2 in the liver of HBCS-PN cows may indicate adaptive mechanisms to maintain normal liver function in response to increased metabolic demands from over-conditioning. These molecular differences underscore the existence of distinct metabolic types in cows and provide evidence for the role of the liver in shaping different metabolic patterns.PMID:37806621 | DOI:10.3168/jds.2023-23572

Toxicology. 2023 Oct 6:153640. doi: 10.1016/j.tox.2023.153640. Online ahead of print.ABSTRACTEnvironmental exposure to endocrine disrupting chemicals (EDCs) during critical periods of development is associated with an increased risk of metabolic diseases, including hepatic steatosis and obesity. Di-2-ethylhexyl-phthalate (DEHP) is an EDC strongly associated with these metabolic abnormalities. DEHP developmental windows of susceptibility are unknown yet have important public health implications. The purpose of this study was to identify these windows of susceptibility and determine whether developmental DEHP exposure alters hepatic metabolism later in life. Dams were exposed to control or feed containing human exposure relevant doses of DEHP (50 μg/kg BW/d) and high dose DEHP (10mg/kg BW/d) from preconception until weaning or only exposed to DEHP during preconception. Post-weaning, all offspring were fed a control diet throughout adulthood. Using the Metabolon Untargeted Metabolomics platform, we identified 148 significant metabolites in female adult livers that were altered by preconception-gestation-lactation DEHP exposure. We found a significant increase in the levels of acylcarnitines, diacylglycerols, sphingolipids, glutathione, purines, and pyrimidines in DEHP-exposed female livers compared to controls. These changes in fatty acid oxidation and oxidative stress-related metabolites were correlated with hepatic changes including microvesicular steatosis, hepatocyte swelling, inflammation. In contrast to females, we observed fewer metabolic alterations in male offspring, which were uniquely found in preconception-only low dose DEHP exposure group. Although we found that preconception-gestational-lactation exposure causes the most liver pathology, we surprisingly found preconception exposure linked to an abnormal liver metabolome. We also found that two doses exhibited non-monotonic DEHP-induced changes in the liver. Collectively, these findings suggest that metabolic changes in the adult liver of offspring exposed periconceptionally to DHEP depends on the timing of exposure, dose, and sex.PMID:37806616 | DOI:10.1016/j.tox.2023.153640

Free Radic Biol Med. 2023 Oct 6:S0891-5849(23)00666-4. doi: 10.1016/j.freeradbiomed.2023.10.002. Online ahead of print.ABSTRACTThe gut microbiota plays a crucial role in maintaining host nutrition, metabolism, and immune homeostasis, particularly in extreme environmental conditions. However, the regulatory mechanisms of the gut microbiota in animal organisms hypobaric hypoxia exposure require further study. We conducted a research by comparing SD rats treated with an antibiotic (ABX) cocktail and untreated SD rats that were housed in a low-pressure oxygen chamber (simulating low pressure and hypoxic environment at 6000 m altitude) for 30 days. After the experiment, blood, feces, and lung tissues from SD rats were collected for analysis of blood, 16S rRNA amplicon sequencing, and non-targeted metabolomics. The results demonstrated that the antibiotic cocktail-treated SD rats exhibited elevated counts of neutrophil (Neu) and monocyte (Mon) cells, an enrichment of sulfate-reducing bacteria (SBC), reduced levels of glutathione, and accumulated phospholipid compounds. Notably, the accumulation of phospholipid compounds, particularly lysophosphatidic acid (LPA), lipopolysaccharide (LPS), and lysophosphatidylcholine (LPC), along with the aforementioned changes, contributed to heightened oxidative stress and inflammation in the organism. In addition, we explored the resistance mechanisms of SD rats in low-oxygen and low-pressure environments and found that increasing the quantity of the Prevotellaceae and related beneficial bacteria (especially Lactobacillus) could reduce oxidative stress and inflammation. These findings offer valuable insights into enhancing the adaptability of low-altitude animals under hypobaric hypoxia exposure.PMID:37806597 | DOI:10.1016/j.freeradbiomed.2023.10.002

Free Radic Biol Med. 2023 Oct 6:S0891-5849(23)00678-0. doi: 10.1016/j.freeradbiomed.2023.10.014. Online ahead of print.ABSTRACTBACKGROUND: Evidence from longitudinal studies is crucial to enhance our understanding of the role of metabolites in the progression of gestational diabetes mellitus (GDM). Herein, a longitudinal untargeted metabolomic study was conducted to reveal the metabolomic profiles and biomarkers associated with the progression of GDM, and characterize the changing patterns of metabolites.METHODS: We collected serum samples at three trimesters from 30 patients with GDM and 30 healthy Chinese pregnant women with pre-pregnancy BMI, age, and parity matched, and untargeted metabolomic analysis was performed, followed by machine learning approaches that integrated bootstrap and LASSO. Cluster analysis was conducted to elucidate the patterns of metabolite changes. Pathway analyses were conducted to gain insights into the underlying pathways involved.RESULTS: A total of 32 metabolites, mainly belonging to amino acid and its derivatives, were significantly associated with GDM across three trimesters, and were clustered into three distinct patterns. Metabolites belonging to phosphatidylcholines, lysophosphatidylcholines, lysophosphatidic acids, and lysophosphatidylethanolamines were consistently upregulated, and 2,3-Dihydroxypropyl dihydrogen phosphate was downregulated in GDM group. Amino acid-associated, glycerophospholipid, and vitamin B6 metabolism were enriched in multiple trimesters. The levels of allantoic acid, which was positively correlated with blood glucose, was consistently higher in GDM patients and exhibited good discriminatory ability for GDM in the early and mid-pregnancy.CONCLUSION: We identified and characterized distinct patterns of metabolites associated with GDM throughout pregnancy, and found that allantoic acid was a potential biomarker for early diagnosis of GDM.PMID:37806596 | DOI:10.1016/j.freeradbiomed.2023.10.014

Sci Total Environ. 2023 Oct 6:167641. doi: 10.1016/j.scitotenv.2023.167641. Online ahead of print.ABSTRACTArtificial sweeteners (AS) are the emerging contaminants with potential toxicity to living organisms. The effects of AS to soil typical invertebrates have not been revealed. In this study, the responses of earthworms (Eisenia fetida) and gut microbial communities to acesulfame-contaminated soils (0.1, 1 and 10 mg kg-1) were studied using transcriptomics, metabolomics and metagenomics analyses. The fresh weight of earthworms was significantly stimulated by acesulfame at concentrations of 1 mg kg-1. Sphingolipid metabolism, purine metabolism, cutin, suberine and wax biosynthesis pathways were significantly affected. At 10 mg kg-1 treatment, the amount and weight of cocoons were significantly increased and decreased, respectively, accompanied by the significant disorder of ECM-receptor interaction, and carbon fixation in photosynthetic organisms pathways. Lysosome pathway was significantly affected in all the treatments. Moreover, the acesulfame significantly increased the relative abundance of Bacteroidetes and Mucoromycota, and decreased Proteobacteria in the gut of earthworms. Our multi-level investigation indicated that AS at a relatively low concentration induced toxicity to earthworms and AS pollution has significant environmental risks for soil fauna.PMID:37806587 | DOI:10.1016/j.scitotenv.2023.167641

Neuroscience. 2023 Oct 6:S0306-4522(23)00441-4. doi: 10.1016/j.neuroscience.2023.09.017. Online ahead of print.ABSTRACTHypertensive individuals are at a high risk of stroke, and thus, prevention of stroke in hypertensive patients is essential. Metabolomics and lipidomics can be used to identify diagnostic biomarkers and conduct early assessments of stroke risk in hypertensive populations. In this study, serum samples were collected from 30 hypertensive ischemic stroke (IS), 30 matched hypertensive and 30 matched healthy participants. Metabolomics and lipidomics analyses were conducted via liquid chromatography-tandem mass spectrometry, and the data were analyzed using multivariate and univariate statistical methods. A random forest algorithm and binary logistic regression were used to screen the biomarkers and establish diagnostic model. We detected 21 differential metabolites and 38 differential lipids between the hypertensive IS and healthy group. Moreover, we found 18 differential metabolites and 31 differential lipids between the hypertensive IS and hypertension group. In particular, the following seven metabolites or lipids distinguished the hypertensive IS from the healthy group: 4-hydroxyphenylpyruvic acid, cafestol, phosphatidylethanolamine (PE) (18:0p/18:2), PE (16:0e/20:4), (O-acyI)-1-hydroxy fatty acid (36:3), PE (16:0p/20:3) and PE (18:1p/18:2) (rep). The following seven biomarkers distinguished the hypertensive IS from the hypertension group: diglyceride (DG) (20:1/18:2), PE (18:0p/18:2), PE (16:0e/22:5), phosphatidylcholine (40:7), dimethylphosphatidylethanolamine (50:3), DG (18:1/18:2), and 4-hydroxyphenylpyruvic acid. The aforementioned panels had good diagnostic and predictive ability for hypertensive IS. Our study determines the metabolomic and lipidomic profiles of hypertensive IS patients and thereby identifies potential biomarkers of the presence of IS in hypertensive populations.PMID:37806545 | DOI:10.1016/j.neuroscience.2023.09.017

Brain Behav Immun. 2023 Oct 6:S0889-1591(23)00285-4. doi: 10.1016/j.bbi.2023.09.022. Online ahead of print.ABSTRACTMicrobiome science has been one of the most exciting and rapidly evolving research fields in the past two decades. Breakthroughs in technologies including DNA sequencing have meant that the trillions of microbes (particularly bacteria) inhabiting human biological niches (particularly the gut) can be profiled and analysed in exquisite detail. This microbiome profiling has profound impacts across many fields of research, especially biomedical science, with implications for how we understand and ultimately treat a wide range of human disorders. However, like many great scientific frontiers in human history, the pioneering nature of microbiome research comes with a multitude of challenges and potential pitfalls. These include the reproducibility and robustness of microbiome science, especially in its applications to human health outcomes. In this article, we address the enormous promise of microbiome science and its many challenges, proposing constructive solutions to enhance the reproducibility and robustness of research in this nascent field. The optimisation of microbiome science spans research design, implementation and analysis, and we discuss specific aspects such as the importance of ecological principals and functionality, challenges with microbiome-modulating therapies and the consideration of confounding, alternative options for microbiome sequencing, and the potential of machine learning and computational science to advance the field. The power of microbiome science promises to revolutionise our understanding of many diseases and provide new approaches to prevention, early diagnosis, and treatment.PMID:37806533 | DOI:10.1016/j.bbi.2023.09.022

EBioMedicine. 2023 Oct 6;97:104820. doi: 10.1016/j.ebiom.2023.104820. Online ahead of print.ABSTRACTBACKGROUND: Deep learning has shown potential in various scientific domains but faces challenges when applied to complex, high-dimensional multi-omics data. Alzheimer's Disease (AD) is a neurodegenerative disorder that lacks targeted therapeutic options. This study introduces the Circular-Sliding Window Association Test (c-SWAT) to improve the classification accuracy in predicting AD using serum-based metabolomics data, specifically lipidomics.METHODS: The c-SWAT methodology builds upon the existing Sliding Window Association Test (SWAT) and utilizes a three-step approach: feature correlation analysis, feature selection, and classification. Data from 997 participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) served as the basis for model training and validation. Feature correlations were analyzed using Weighted Gene Co-expression Network Analysis (WGCNA), and Convolutional Neural Networks (CNN) were employed for feature selection. Random Forest was used for the final classification.FINDINGS: The application of c-SWAT resulted in a classification accuracy of up to 80.8% and an AUC of 0.808 for distinguishing AD from cognitively normal older adults. This marks a 9.4% improvement in accuracy and a 0.169 increase in AUC compared to methods without c-SWAT. These results were statistically significant, with a p-value of 1.04 × 10ˆ-4. The approach also identified key lipids associated with AD, such as Cer(d16:1/22:0) and PI(37:6).INTERPRETATION: Our results indicate that c-SWAT is effective in improving classification accuracy and in identifying potential lipid biomarkers for AD. These identified lipids offer new avenues for understanding AD and warrant further investigation.FUNDING: The specific funding of this article is provided in the acknowledgements section.PMID:37806288 | DOI:10.1016/j.ebiom.2023.104820

J Pharm Biomed Anal. 2023 Sep 23;237:115747. doi: 10.1016/j.jpba.2023.115747. Online ahead of print.ABSTRACTRadix et Rhizoma Thalictri Foliolosi (RRTF) belongs to one of the alkaloid-rich traditional Chinese medicines in Ranunculaceae, which possesses anti-inflammatory, anti-tumor, and several other pharmacological activities. However, due to lack of research on chemical composition, serious confusion in the origin, and ambiguity in pharmacological mechanisms, it is quite urgent to establish quality control standards based on modern research and to increase the widespread usage. Aiming to clarify the differential compounds among three species of RRTF (TFD, TFB, and TCW), targeted and untargeted acquisition strategies based on high resolution mass spectrometry were established. Plant metabolomics analysis and multivariate statistical analysis were accomplished to screen out differential markers which were answerable for categorizing different species of RRTF. A network pharmacology analysis was further performed to predict the bioactive constituents and pharmacological mechanisms. Moreover, multi-components quantitative analysis under multiple reaction monitoring mode and multiple logistic regression analysis were conducted to estimate the rationality of the quality markers (Q-markers). Ultimately, the targeted alkaloid detection list was built as premise relying on alkaloid cleavage pathway, and a total 87 compounds were identified. The 25 representative differential metabolites were screened out successfully and divided into three categories to differentiate TFD, TFB, and TCW. 14 active components and 25 presumptive targets of RRTF were found to play a central role according to network pharmacology analysis. The abundance of screened 12 Q-marker showed significant differences in the three varieties. In conclusion, the study systematically investigated the material basis of RRTF, distinguished and evaluated the quality of RRTF effectively, and predicted its pharmacodynamic material basis.PMID:37806142 | DOI:10.1016/j.jpba.2023.115747

Biomed Pharmacother. 2023 Oct 6;168:115640. doi: 10.1016/j.biopha.2023.115640. Online ahead of print.ABSTRACTNASH is a highly prevalent metabolic syndrome that has no specific approved agents up to now. BBBP, which mainly contains bile acids, possess various pharmacological properties and some bile acids are available for NASH treatment. Herein, the therapeutic effects and underlying mechanisms of BBBP against NASH were systemically evaluated. In this study, mice received an HFHS diet over a 20-week period to induce NASH with or without BBBP intervention were used to evaluate the effect and underlying mechanisms of BBBP against NASH. Our results demonstrated that BBBP attenuated hepatic steatosis, reduced body weight gain and lipid concentrations, and improved sensitivity to insulin and tolerance to glucose in mice fed an HFHS diet. Metabolomics and transcriptomic analysis revealed that BBBP suppressed the arginine biosynthesis by up-regulating NOS3 expression and the PI3K-Akt signaling pathway was also regulated by BBBP, as indicated by 55 DEGs. Bioinformatic analysis predicted the regulatory effect of the FXR/PXR-PI3K-AKT-NOS3 axis on arginine biosynthesis-related metabolites. These results were further confirmed by the significantly increased mRNA and protein levels of NOS3, PI3K (Pik3r2), and AKT1. And the increased levels of arginine biosynthesis related-metabolites, such as urea, aspartic acid, glutamic acid, citrulline, arginine, and ornithine, were confirmed accurately based on targeted metabolomics analysis. Together, our study uncoded the complicated mechanisms of anti-NASH activities of BBBP, and provided critical evidence inspiring the discovery of innovative therapies based on BBBP in the treatment of NASH.PMID:37806086 | DOI:10.1016/j.biopha.2023.115640

Clin Nutr. 2023 Sep 25;42(11):2214-2228. doi: 10.1016/j.clnu.2023.09.021. Online ahead of print.ABSTRACTBACKGROUND & AIMS: Acute myeloid leukaemia (AML) chemotherapy has been reported to impact gut microbiota composition. In this study, we investigated using a multi -omics strategy the changes in the gut microbiome induced by AML intense therapy and their association with gut barrier function and cachectic hallmarks.METHODS: 10 AML patients, allocated to standard induction chemotherapy (SIC), were recruited. Samples and data were collected before any therapeutic intervention (T0), at the end of the SIC (T1) and at discharge (T4). Gut microbiota composition and function, markers of inflammation, metabolism, gut barrier function and cachexia, as well as faecal, blood and urine metabolomes were assessed.RESULTS: AML patients demonstrated decreased appetite, weight loss and muscle wasting during hospitalization, with an incidence of cachexia of 50%. AML intensive treatment transiently impaired the gut barrier function and led to a long-lasting change of gut microbiota composition characterized by an important loss of diversity. Lactobacillaceae and Campylobacter concisus were increased at T1 while Enterococcus faecium and Staphylococcus were increased at T4. Metabolomics analyses revealed a reduction in urinary hippurate and faecal bacterial amino acid metabolites (bAAm) (2-methylbutyrate, isovalerate, phenylacetate). Integration using DIABLO revealed a deep interconnection between all the datasets. Importantly, we identified bacteria which disappearance was associated with impaired gut barrier function (Odoribacter splanchnicus) and body weight loss (Gemmiger formicilis), suggesting these bacteria as actionable targets.CONCLUSION: AML intensive therapy transiently impairs the gut barrier function while inducing enduring alterations in the composition and metabolic activity of the gut microbiota that associate with body weight loss.TRIAL REGISTRATION: NCT03881826, https://clinicaltrials.gov/ct2/show/NCT03881826.PMID:37806074 | DOI:10.1016/j.clnu.2023.09.021

Aquat Toxicol. 2023 Sep 26;264:106707. doi: 10.1016/j.aquatox.2023.106707. Online ahead of print.ABSTRACTSertraline is an environmental pollutant which received magnified scientific attention due to its global presence in waters. Adverse effects on feeding, reproduction and other traits were observed mostly in unstressed aquatic organisms. Chronic stress, however, induces significant physiological changes, and the effects of sertraline in stressed fish may differ from those observed in non-stressed individuals. The current laboratory study addresses this gap by repeatedly monitoring the individual aggression of chronically stressed juvenile chub (Squalius cephalus L.) using the non-reversing mirror test at an environmental sertraline concentration of 0.022 g/L every three to four days for a period of 39 days. Specifically, it was hypothesized that the level and repeatability of aggressiveness would be (i) correlated with the concentration of sertraline/norsertraline in the fish brain; (ii) linked to the individual brain metabolomic profile described by LC-HRMS analyses; (iii) related to the lunar cycle. Sertraline led to an increase in fish aggression and more repeatable/consistent behaviour compared to control fish. While the level of sertraline in the brain did not correlate with aggressiveness, aggressive responses increased with higher norsertraline concentration. The observed aggressive behaviour also varied depending on the individual metabolomic profile of the brain. The behavioural outcome and metabolic change in fish brain may indicate that sertraline has demonstrated neuroprotective effects by reducing cortisol release. It is possible that fish exposed to sertraline could suffer a blunted stress response under the chronic stressors in the wild. Aggressiveness of both treatments evolved in time, revealing a sinusoid-like pattern corresponding to a lunar cycle with a peak of the aggressiveness during the new moon. There is a need for future studies to focus on this relationship to reveal its details and general validity. Our results emphasize that long-term behavioural variability should generally be taken into account in laboratory behavioural studies.PMID:37806025 | DOI:10.1016/j.aquatox.2023.106707

Microb Cell Fact. 2023 Oct 8;22(1):204. doi: 10.1186/s12934-023-02221-z.ABSTRACTBACKGROUND: "ATP wasting" has been observed in 13C metabolic flux analyses of Saccharomyces cerevisiae, a yeast strain commonly used to produce ethanol. Some strains of S. cerevisiae, such as the sake strain Kyokai 7, consume approximately two-fold as much ATP as laboratory strains. Increased ATP consumption may be linked to the production of ethanol, which helps regenerate ATP.RESULTS: This study was conducted to enhance ethanol and 2,3-butanediol (2,3-BDO) production in the S. cerevisiae strains, ethanol-producing strain BY318 and 2,3-BDO-producing strain YHI030, by expressing the fructose-1,6-bisphosphatase (FBPase) and ATP synthase (ATPase) genes to induce ATP dissipation. The introduction of a futile cycle for ATP consumption in the pathway was achieved by expressing various FBPase and ATPase genes from Escherichia coli and S. cerevisiae in the yeast strains. The production of ethanol and 2,3-BDO was evaluated using high-performance liquid chromatography and gas chromatography, and fermentation tests were performed on synthetic media under aerobic conditions in batch culture. The results showed that in the BY318-opt_ecoFBPase (expressing opt_ecoFBPase) and BY318-ATPase (expressing ATPase) strains, specific glucose consumption was increased by 30% and 42%, respectively, and the ethanol production rate was increased by 24% and 45%, respectively. In contrast, the YHI030-opt_ecoFBPase (expressing opt_ecoFBPase) and YHI030-ATPase (expressing ATPase) strains showed increased 2,3-BDO yields of 26% and 18%, respectively, and the specific production rate of 2,3-BDO was increased by 36%. Metabolomic analysis confirmed the introduction of the futile cycle.CONCLUSION: ATP wasting may be an effective strategy for improving the fermentative biosynthetic capacity of S. cerevisiae, and increased ATP consumption may be a useful tool in some alcohol-producing strains.PMID:37807050 | DOI:10.1186/s12934-023-02221-z

Trends Immunol. 2023 Oct 6:S1471-4906(23)00204-1. doi: 10.1016/j.it.2023.09.008. Online ahead of print.ABSTRACTDietary fibers, including chitin, have a major impact on gastrointestinal (GI) physiology and immunity. Two recent articles, by Parrish et al. and Kim et al., credit depletion of dietary fibers or supplementation with chitin, with negative and positive effects, respectively, on the immune system of the murine digestive tract. This has relevant implications for food allergies and systemic metabolism.PMID:37806931 | DOI:10.1016/j.it.2023.09.008

Georgian Med News. 2023 Jul-Aug;(340-341):275-279.ABSTRACTEndometriosis is a widespread pathology among women of reproductive age. The pathophysiological mechanisms of the disease aren't enough understood yet. In addition, the "gold" standard of diagnosis is still laparoscopy. Worldwide, patients may experience a delay in the diagnosis of endometriosis by approximately 6 to 12 years. Aim of the study - to conduct a systematic analysis of the data presented in modern literature on the metabolomic diagnosis of endometriosis in general and endometrioid cystadenomas in particular. The review includes data from world studies over the past 7 years regarding metabolomic screening for endometriosis. Metabolomic changes characteristic of endometriosis, noted in the metabolism of amino acids, organic acids, lipids, purines, are presented. The described disorders reflect the processes of oxidative stress, mitochondrial dysfunction, endothelial dysfunction, and active angiogenesis. The identified metabolomic changes may improve and speed up the process of diagnosing endometriosis in general and endometrioid cystadenomas in particular in a non-invasive way. Certain detailed violations of metabolic processes can become a promising point of application for the correction of symptoms and the treatment of this pathology.PMID:37805911

Food Res Int. 2023 Nov;173(Pt 2):113488. doi: 10.1016/j.foodres.2023.113488. Epub 2023 Sep 17.ABSTRACTHongqu rice wine, a famous traditional fermented alcoholic beverage, is brewed with traditional Hongqu (mainly including Gutian Qu and Wuyi Qu). This study aimed to compare the microbial communities and metabolic profiles in the traditional brewing of Hongqu rice wines fermented with Gutian Qu and Wuyi Qu. Compared with Hongqu rice wine fermented with Wuyi Qu (WY), Hongqu rice wine fermented with Gutian Qu (GT) exhibited higher levels of biogenic amines. The composition of volatile flavor components of Hongqu rice wine brewed by different fermentation starters (Gutian Qu and Wuyi Qu) was obviously different. Among them, ethyl acetate, isobutanol, 3-methylbutan-1-ol, ethyl decanoate, ethyl palmitate, ethyl oleate, nonanoic acid, 4-ethylguaiacol, 5-pentyldihydro-2(3H)-furanone, ethyl acetate, n-decanoic acid etc. were identified as the characteristic aroma-active compounds between GT and WY. Microbiome analysis based on high-throughput sequencing of full-length 16S rDNA/ITS-5.8S rDNA amplicons revealed that Lactococcus, Leuconostoc, Pseudomonas, Serratia, Enterobacter, Weissella, Saccharomyces, Monascus and Candida were the predominant microbial genera during the traditional production of GT, while Lactococcus, Lactobacillus, Leuconostoc, Enterobacter, Kozakia, Weissella, Klebsiella, Cronobacter, Saccharomyces, Millerozyma, Monascus, Talaromyces and Meyerozyma were the predominant microbial genera in the traditional fermentation of WY. Correlation analysis revealed that Lactobacillus showed significant positive correlations with most of the characteristic volatile flavor components and biogenic amines. Furthermore, bioinformatical analysis based on PICRUSt revealed that microbial enzymes related to biogenic amines synthesis were more abundant in GT than those in WY, and the enzymes responsible for the degradation of biogenic amines were less abundant in GT than those in WY. Collectively, this study provides important scientific data for enhancing the flavor quality of Hongqu rice wine, and lays a solid foundation for the healthy and sustainable development of Hongqu rice wine industry.PMID:37803808 | DOI:10.1016/j.foodres.2023.113488

Environ Res. 2023 Oct 5:117310. doi: 10.1016/j.envres.2023.117310. Online ahead of print.ABSTRACTDeciphering the vertical connectivity of oceanic microbiome and metabolome is crucial for understanding the carbon sequestration and achieving the carbon neutrality. However, we lack a systematic view of the interplay among particle transport, microbial community, and metabolic trait across depths. Through integrating the biogeochemical, microbial, and metabolic characteristics of a deep cold-seep water column (∼1989 m), we find the altered connectivity of microbial community and dissolved organic matter (DOM) across depths. Both the microbial communities (bacteria and protists) and DOM show a clear compositional connectivity from surface to the depth of 1000 m, highlighting the controls of sinking particle over microbial connectivity from the epipelagic to mesopelagic zone. However, due to the biological migration and ocean mixing, the fecal-associated bacteria and protistan consumers unexpectedly emerge and the degradation index of DOM substantially alters around 1000-1200 m. Collectively, we unveil the significance of multi-faceted particle dispersion, which supports the connectivity and variability of deep ocean microbial communities.PMID:37805181 | DOI:10.1016/j.envres.2023.117310

J Nutr. 2023 Oct 5:S0022-3166(23)72624-2. doi: 10.1016/j.tjnut.2023.10.003. Online ahead of print.NO ABSTRACTPMID:37805045 | DOI:10.1016/j.tjnut.2023.10.003