PubMed

Front Microbiol. 2023 Jun 29;14:1195985. doi: 10.3389/fmicb.2023.1195985. eCollection 2023.ABSTRACTMarigold can protect crops against soil-borne diseases. However, the effects of intercropping with marigold on apple rhizosphere soils are not known. In this study, we investigated the metabolite profiles and bacterial community structures in rhizosphere soils of the apple-marigold intercropping system by high-throughput sequencing and soil metabolomics. The results show that intercropping marigold could significantly enhance soil moisture, nitrogen, and enzyme activities compared with clean tillage. The soil metabolite profiles and the soil bacterial community structures in the rhizosphere soils were different between the inter-and mono-cropping systems. Among nine metabolites, carbohydrates were more increased in the intercropping system than in the monocropping system. Pathway enrichment analysis revealed that the greatest differential, in terms of metabolic pathway, was starch and sucrose metabolism. Moreover, intercropping marigold significantly increased the relative abundance of plant growth promoting bacteria in rhizosphere soils, such as Rhizobiales, Pseudomonadales, and Bacillales. These results indicate that marigold intercropping positively affected the apple orchard's soil quality and may provide a new intercropping technique to improve soil fertility in orchards and promote plant growth.PMID:37455738 | PMC:PMC10343436 | DOI:10.3389/fmicb.2023.1195985

Front Microbiol. 2023 Jun 29;14:1217270. doi: 10.3389/fmicb.2023.1217270. eCollection 2023.ABSTRACTINTRODUCTION: The emergence of multidrug-resistant (MDR) Acinetobacter baumannii prompts clinicians to consider treating these infections with polymyxin combination.METHODS: Metabolomic analysis was applied to investigate the synergistic effects of polymyxin-B, amikacin and sulbactam combination therapy against MDR A. baumannii harboring OXA-23 and other drug resistant genes. The drug concentrations tested were based on their clinical breakpoints: polymyxin-B (2 mg/L), amikacin (16 mg/L), polymyxin-B/amikacin (2/16 mg/L), and polymyxin-B/amikacin/sulbactam (2/16/4 mg/L).RESULTS: The triple antibiotic combination significantly disrupted levels of metabolites involved in cell outer membrane structure including fatty acids, glycerophospholipids, nucleotides, amino acids and peptides as early as 15 min after administration. Amikacin and polymyxin-B alone perturbed a large number of metabolites at 15 min and 1 h, respectively, but the changes in metabolites were short-lived lasting for less than 4 h. In contrast, the combination treatment disrupted a large amount of metabolites beyond 4 h. Compared to the double-combination, the addition of sulbactam to polymyxin-B/amikacin combination produce a greater disorder in A. baumannii metabolome that further confer susceptibility of bacteria to the antibiotics.CONCLUSION: The metabolomic analysis identified mechanisms responsible for the synergistic activities of polymyxin-B/amikacin/sulbactam against MDR A. baumannii.PMID:37455727 | PMC:PMC10343439 | DOI:10.3389/fmicb.2023.1217270

J Inherit Metab Dis. 2023 Jul 16. doi: 10.1002/jimd.12657. Online ahead of print.ABSTRACTSuccinic semialdehyde dehydrogenase deficiency (SSADHD) is a rare neurometabolic disorder caused by disruption of the gamma-aminobutyric acid (GABA) pathway. A more detailed understanding of its pathophysiology, beyond the accumulation of GABA and gamma-hydroxybutyric acid (GHB), will increase our understanding of the disease and may support novel therapy development. To this end, we compared biochemical body fluid profiles from SSADHD patients with controls using next-generation metabolic screening (NGMS). Targeted analysis of NGMS data from cerebrospinal fluid (CSF) showed a moderate increase of aspartic acid, glutaric acid, glycolic acid, 4-guanidinobutanoic acid and 2-hydroxyglutaric acid, and prominent elevations of GHB and 4,5-dihydroxyhexanoic acid (4,5-DHHA) in SSADHD samples. Remarkably, the intensities of 4,5-DHHA and GHB showed a significant positive correlation in control CSF, but not in patient CSF. In an established zebrafish epilepsy model, 4,5-DHHA showed increased mobility that may reflect limited epileptogenesis. Using untargeted metabolomics, we identified 12 features in CSF with high biomarker potential. These had comparable increased fold changes as GHB and 4,5-DHHA. For 10 of these features, a similar increase was found in plasma, urine and/or mouse brain tissue for SSADHD compared to controls. One of these was identified as the novel biomarker 4,5-dihydroxyheptanoic acid. The intensities of selected features in plasma and urine of SSADHD patients positively correlated with the clinical severity score of epilepsy and psychiatric symptoms of those patients, and also showed a high mutual correlation. Our findings provide new insights into the (neuro)metabolic disturbances in SSADHD and give leads for further research concerning SSADHD pathophysiology. This article is protected by copyright. All rights reserved.PMID:37455357 | DOI:10.1002/jimd.12657

Anal Chim Acta. 2023 Sep 15;1274:341578. doi: 10.1016/j.aca.2023.341578. Epub 2023 Jun 29.ABSTRACTAlthough interest in characterizing DNA damage by means of DNA adductomics has substantially grown, the field of DNA adductomics is still in its infancy, with room for optimization of methods for sample analysis, data processing and DNA adduct identification. In this context, the first objective of this study was to evaluate the use of hydrophilic interaction (HILIC) vs. reversed phase liquid chromatography (RPLC) coupled to high resolution mass spectrometry (HRMS) and thermal acidic vs. enzymatic hydrolysis of DNA followed by DNA adduct purification and enrichment using solid-phase extraction (SPE) or fraction collection for DNA adductome mapping. The second objective was to assess the use of total ion count (TIC) and median intensity (MedI) normalization compared to QC (quality control), iQC (internal QC) and quality control-based robust locally estimated scatterplot smoothing (LOESS) signal correction (QC-RLSC) normalization for processing of the acquired data. The results demonstrate that HILIC compared to RPLC allowed better modeling of the tentative DNA adductome, particularly in combination with thermal acidic hydrolysis and SPE (more valid models, with an average Q2(Y) and R2(Y) of 0.930 and 0.998, respectively). Regarding the need for data normalization and the management of (limited) system instability and signal drift, QC normalization outperformed TIC, MedI, iQC and LOESS normalization. As such, QC normalization can be put forward as the default data normalization strategy. In case of momentous signal drift and/or batch effects however, comparison to other normalization strategies (like e.g. LOESS) is recommended. In future work, further optimization of DNA adductomics may be achieved by merging of HILIC and RPLC datasets and/or application of 2D-LC, as well as the inclusion of Schiff base stabilization and/or fraction collection in the thermal acidic hydrolysis-SPE sample preparation workflow.PMID:37455087 | DOI:10.1016/j.aca.2023.341578

Anal Chim Acta. 2023 Sep 15;1274:341574. doi: 10.1016/j.aca.2023.341574. Epub 2023 Jun 29.ABSTRACTBACKGROUND: Gonadotropins are a class of heavily glycosylated protein hormones, thus extremely challenging to characterize by mass spectrometry. As biopharmaceuticals, gonadotropins are prescribed for the treatment of infertility and are derived from different sources: either from pooled urine of pregnant women or upon production in genetically modified Chinese Hamster Ovary cells. Human chorionic gonadotropin (hCG) is sold as a biopharmaceutical under the name Pregnyl® (urinary hCG, u-hCG) and Ovitrelle® (recombinant hCG, r-hCG), and recombinant human follicle stimulating hormone (r-hFSH) is marketed as Gonal-f®. Recently, we reported the exhaustive characterization of r-hCG at different structural levels.RESULTS: We implement size exclusion (SE) HPLC-MS to automatize the acquisition of native mass spectra of r-hCG dimer, but also u-hCG and r-hFSH, comparing the drug products up to intact heterodimer level. A hybrid HPLC-MS approach was employed for the characterization of r-hCG, u-hCG and r-hFSH drug products at different structural levels. Released glycans were analyzed by porous graphitized carbon (PGC)-HPLC-MS/MS, glycopeptides by reversed-phase (RP)-HPLC-MS/MS, subunits by RP-HPLC-MS and finally the intact native heterodimers by semi-automated online buffer exchange SE-HPLC-MS. The data were integrated using bioinformatic tools, to finally unravel the composition of 1481 co-existing dimeric glycoforms for r-hCG, 1167 glycoforms for u-hCG, and 1440 glycoforms for r-hFSH, and to compare critical quality attributes of the different drug products such as their degree of sialylation and O-glycosylation.SIGNIFICANCE AND NOVELTY: The strong alliance of bioanalytics and bioinformatics data integration at the different structural levels allowed the identification of more than thousand different glycoforms of r-hCG, u-hCG, and r-hFSH. The results showed that these biopharmaceuticals differ considerably in their glycosylation patterns and highlight the importance of in-depth characterization of biopharmaceuticals for quality control. © 2017 Elsevier Inc. All rights reserved.PMID:37455084 | DOI:10.1016/j.aca.2023.341574

Anal Chim Acta. 2023 Sep 15;1274:341570. doi: 10.1016/j.aca.2023.341570. Epub 2023 Jun 28.ABSTRACTDipeptides (DPs) have attracted more and more attention in many research fields due to their important biological functions and promising roles as disease biomarkers. However, the determination of DPs in biological samples is very challenging owing to the limited availability of commercial standards, high structure diversity, distinct physical and chemical characteristics, wide concentration range, and the extensive existence of isomers. In this study, a pseudotargeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) method coupled with chemical derivatization for the simultaneous analysis of 400 DPs and their constructing amino acids (AAs) in biospecimens is established. Dansyl chloride (Dns-Cl) chemical derivatization was introduced to provide characteristic MS fragments for annotation and improve the chromatographic separation of DP isomers. A retention time (RT) prediction model was constructed using 83 standards (63 DPs and 20 AAs) based on their quantitative structural retention relationship (QSRR) after the Dns-Cl labeling, which largely facilitated the annotation of the DPs without standards. Finally, we applied this method to investigate the profile change of DPs in a cisplatin-induced acute kidney injury (AKI) rat model. The established workflow provides a platform to profile DPs and expand our understanding of these little-studied metabolites.PMID:37455081 | DOI:10.1016/j.aca.2023.341570

Sci Total Environ. 2023 Jul 14:165499. doi: 10.1016/j.scitotenv.2023.165499. Online ahead of print.ABSTRACTThe consumption of rice contaminated with arsenic on a long-term basis has emerged as a pressing public health issue of global significance. Arsenic-induced urinary injury, particularly kidney damage, has received widespread attention. In this study, mice model under long-term arsenic exposure was established, mouse were exposed to rice arsenic (30 mg/kg) for 14 months. Changes of related metabolites were observed based on kidney metabolomics and lipidomics, and major biomarkers were screened by urine metabolomics. The results showed that phosphatidylethanolamine (PE) was significantly increased and phosphatidycholine (PC) and phosphatidylglycerol (PG) were significantly reduced after arsenic exposure, leading to related downstream lipid metabolism disorders. The metabolic pathways for amino acid and energy were observed to be impacted. In addition, metabolic disorders due to arsenic exposure may be associated with inherited neurometabolic disorders, such as D-2-hydroxyglutaric aciduria (D-2-HGA), and pyruvate carboxylase deficiency (PCD), which is predicted based on significant difference biomarkers (2-oxoglutarate, malic acid, and succinic acid) screened for urine. This study elucidates the mechanism of toxicity in the urinary system induced by arsenic exposure at nearly half life cycle, which furnishes crucial scientific evidence pertaining to the toxicity and risk evaluation associated with chronic exposure to the arsenic.PMID:37454865 | DOI:10.1016/j.scitotenv.2023.165499

Am J Clin Nutr. 2023 Jul 14:S0002-9165(23)66027-7. doi: 10.1016/j.ajcnut.2023.07.006. Online ahead of print.ABSTRACTBACKGROUND: Long-chain polyunsaturated fatty acids (LCPUFA) and their metabolites are closely related to neovascular eye diseases. However, the clinical significance of their oxylipins in retinal vein occlusion (RVO) remains inconclusive.OBJECTIVE: This case-control study aimed to explore metabolomic profiles of LCPUFA oxidation in RVO, and to identify potential indicators for diagnosis and pathological progression.METHODS: The plasma levels of ω-3 and ω-6 LCPUFA and their oxylipins in 44 adults with RVO and 36 normal controls were analyzed using ultra-performance liquid chromatography tandem mass spectrometry. Univariate analysis combined with principal component and orthogonal projections to latent structure discriminant analysis was used to screen differential metabolites. Aortic ring and choroidal explant sprouting assays were used to investigate the effects of 5-oxo-eicosatetraenoic acids (ETE) on angiogenesis ex vivo. Tubule formation and wound healing assays were performed to verify its effects on human retinal microvascular endothelial cell (HRMEC) functions.RESULTS: Higher ω-6 and lower ω-3 LCPUFA plasma levels were measured in the adults with RVO vs. control (OR: 2.34, 95%CI [1.42, 3.86], P < 0.001; OR: 0.28, 95%CI [0.15, 0.51], P < 0.001). Metabolomic analysis revealed 20 LCPUFA and their oxylipins dysregulated in RVO, including increased arachidonic acid (ω-6, OR: 1.85, 95%CI [1.18, 2.90], P < 0.001) and its lipoxygenase product 5-oxo-ETE (OR: 11.76, 95%CI [3.73, 37.11], P < 0.001), as well as decreased docosahexaenoic acid (ω-3, OR: 0.13, 95%CI [0.05, 0.33], P < 0.001). Interestingly, 5-oxo-ETE were downregulated in ischemic vs. nonischemic central RVO. Exogenous 5-oxo-ETE attenuated aortic ring and choroidal explant sprouting, and inhibited tubule formation and migration of HRMECs in a dose-dependent manner, possibly via suppressing the vascular endothelial growth factor signaling pathway.CONCLUSIONS: The plasma levels of ω-6 and ω-3 LCPUFA and their oxylipins were associated with RVO. The ω-6 LCPUFA-derived metabolite 5-oxo-ETE was a potential marker of RVO development and progression.PMID:37454758 | DOI:10.1016/j.ajcnut.2023.07.006

Prog Neuropsychopharmacol Biol Psychiatry. 2023 Jul 14:110830. doi: 10.1016/j.pnpbp.2023.110830. Online ahead of print.ABSTRACTAlzheimer's disease (AD) is often not recognized or is diagnosed very late, which significantly reduces the effectiveness of available pharmacological treatments. Metabolomic analyzes have great potential for improving existing knowledge about the pathogenesis and etiology of AD and represent a novel approach towards discovering biomarkers that could be used for diagnosis, prognosis, and therapy monitoring. In this study, we applied the untargeted metabolomic approach to investigate the changes in biochemical pathways related to AD pathology. We used gas chromatography and liquid chromatography coupled to mass spectrometry (GC-MS and LC-MS, respectively) to identify metabolites whose levels have changed in subjects with AD diagnosis (N = 40) compared to healthy controls (N = 40) and individuals with mild cognitive impairment (MCI, N = 40). The GC-MS identified significant differences between groups in levels of metabolites belonging to the classes of benzene and substituted derivatives, carboxylic acids and derivatives, fatty acyls, hydroxy acids and derivatives, keto acids and derivatives, and organooxygen compounds. Most of the compounds identified by the LC-MS were various fatty acyls, glycerolipids and glycerophospholipids. All of these compounds were decreased in AD patients and in subjects with MCI compared to healthy controls. The results of the study indicate disturbed metabolism of lipids and amino acids and an imbalance of metabolites involved in energy metabolism in individuals diagnosed with AD, compared to healthy controls and MCI subjects.PMID:37454721 | DOI:10.1016/j.pnpbp.2023.110830

Environ Pollut. 2023 Jul 14:122210. doi: 10.1016/j.envpol.2023.122210. Online ahead of print.ABSTRACTPolylactic acid (PLA) is a highly common biodegradable plastic and a potential threat to health and the environment. However, limited data are available on the effects of PLA exposure in the silkworm (Bombyx mori), a model organism used in toxicity studies. In this study, silkworms with or without PLA exposure (P1: 1 mg/L, P5: 5 mg/L, P25: 25 mg/L, and P0: 0 mg/L) for the entire 5th instar period were used to investigate the impact of PLA exposure on midgut morphology, larvae growth, and survival. Mitochondrial damage was observed in the P5 and P25 groups. The weights of the P25 posterior silk gland (5th day in the 5th instar), mature larvae and pupae were all significantly lower than those of the controls (P < 0.05). Dead worm cocoon rates and larva-pupa to 5th instar larvae ratios showed a positive and negative dose-dependent manner with respect to PLA concentrations, respectively. Additionally, reactive oxygen species levels and superoxide dismutase activity of the P25 midgut were significantly higher and lower when compared with controls, respectively (P < 0.05). The molecular mechanisms underlying the effects of PLA and associated physiological responses were also investigated. In the midgut metabolome, 127 significantly different metabolites (variable importance projection >1 and P < 0.05) were identified between the P0 and P25 groups and were mainly enriched for amino acid metabolism and energy supply pathways. The 16 S rDNA data showed that PLA altered microbial richness and structural composition. Microbiota, classified into 34 genera and 63 species, were significantly altered after 25 mg/L PLA exposure (P < 0.05). Spearman's correlation results showed that Bifidobacterium catenulatum and Schaalia odontolytica played potentially vital roles during exposure, as they demonstrated stronger correlations with the significantly different metabolites than other bacterial species. In sum, PLA induced toxic effects on silkworms, especially on energy- and protein-relevant metabolism, but at high concentrations (25 mg/L). This prospective mechanistic investigation on the effects of PLA on larval toxicity provides novel insight regarding the ecological risks of biodegradable plastics in the environment.PMID:37454715 | DOI:10.1016/j.envpol.2023.122210

J Plant Physiol. 2023 Jul 10;287:154052. doi: 10.1016/j.jplph.2023.154052. Online ahead of print.ABSTRACTThe mechanisms responsible for stem growth in peanut (Arachis hypogaea L.) cultivars with varying plant heights remain unclear, despite the significant impact of plant height on peanut yield. Therefore, this study aimed to investigate the underlying mechanisms of peanut stem growth using phenotypic, physiological, transcriptomic, and metabolomic analyses. The findings revealed that the tallest cultivar, HY33, exhibited the highest rate of stem growth and accumulated the most stem dry matter, followed by the intermediate cultivar, SH108, while the dwarf cultivar, Df216, displayed the lowest values. Furthermore, SH108 exhibited a higher harvest index, as well as superior pod and kernel yields compared to both HY33 and Df216. Transcriptome and metabolome analyses identified differentially expressed genes (DEGs) and differentially expressed metabolites (DEMs) associated with phenylpropanoid and flavonoid biosynthesis. Notably, downregulated DEGs in Df216/HY33 and Df216/SH108 included phenylalanine ammonia-lyase (PAL), caffeoyl-CoA O-methyltransferase (COMT), and ferulate-5-hydroxylase (F5H), while downregulated DEMs included p-coumaryl alcohol, chlorogenic acid, and L-epicatechin. Compared to HY33, the reduced activities of PAL, COMT, and F5H resulted in a decreased stem lignin content in Df216. Additionally, downregulated DEGs involved in gibberellin (GA) and brassinosteroid (BR) biosynthesis were identified in Df216/HY33, which contributed to the lowest levels of GA1, GA3, and BR contents in Df216. The results suggest that the dwarf phenotype arises from impaired GA and BR biosynthesis and signaling, resulting in a slower stem growth rate and reduced lignin accumulation.PMID:37454530 | DOI:10.1016/j.jplph.2023.154052

Comput Biol Med. 2023 Jul 8;164:107252. doi: 10.1016/j.compbiomed.2023.107252. Online ahead of print.ABSTRACTEffective biomarker identification and accurate sample label prediction are still challenging for complex diseases. Patient similarity network (PSN) analysis is a powerful tool in disease omics data analysis. The topology of PSN can reflect the discriminative ability of the corresponding feature space on which the sample network is built. In this study, a novel omics data analysis method based on the sample reference network (DA-SRN) is proposed to identify the potential biomarkers and predict the sample categories. DA-SRN defines the informative features and the sample reference network in optimizing the network structure by genetic algorithm. It labels the samples based on the graph neural network, the reference network and the selected informative features. DA-SRN was compared with nine efficient omics data analysis methods on the genomics, metabolomics and transcriptomics datasets to show its validation. The comparison results showed that it outperformed the other methods in area under receiver operating characteristic curve (AUROC), sensitivity, specificity and area under precision-recall curve (AUPRC) in most cases. Besides, the important metabolites identified by DA-SRN for the type 2 diabetes (T2D) metabolomics data were further examined. The pathway analysis revealed the close relationships between the identified metabolites and the critical metabolic pathways related to the occurrence and development of T2D. The experimental results illustrate that DA-SRN can extract the valuable information from the complex omics data by analyzing the sample relationship, and is promising in biomarker identification and sample discrimination for complex diseases.PMID:37454504 | DOI:10.1016/j.compbiomed.2023.107252

Pathol Res Pract. 2023 Jun 20;248:154634. doi: 10.1016/j.prp.2023.154634. Online ahead of print.ABSTRACTCPNE1 regulates multiple signaling pathways and can stimulate cell proliferation and differentiation by activating the AKT-mTOR signaling pathway. In addition, CPNE1 is associated with various cancers; however, its role in breast cancer, particularly in TNBC, has not been fully elucidated. Our study aimed to reveal the impact of the CPNE1/PI3K/AKT/HIF-1α axis on TNBC. We first measured the expression of CPNE1 in the tumor tissues of TNBC patients and examined its prognostic value. Subsequently, we used sh-CPNE1 and overexpression vectors to transfect TNBC cell lines and analyzed cell viability, migration, and invasive abilities using colony formation and CCK-8 assays. Metabolites were analyzed through metabolomics. We found that higher expression of CPNE1 predicted poor prognosis in TNBC patients. Knockdown of CPNE1 reduced the viability, migration, invasion, and proliferation capabilities of TNBC cells. Furthermore, metabolomics analysis showed that glucose metabolism was the most dominant pathway, and knockdown of CPNE1 significantly limited the glycolytic activity of TNBC cells. We verified these conclusions in mouse models. Additionally, we overexpressed CPNE1 and treated TNBC cell lines with a PI3K inhibitor (LY294002). The results indicated that CPNE1 promoted aerobic glycolysis in TNBC cells through the PI3K/AKT/HIF-1α signaling pathway. This suggests that CPNE1 regulates cell glycolysis and participates in the development of TNBC. Our study may provide a new therapeutic target for TNBC treatment.PMID:37454492 | DOI:10.1016/j.prp.2023.154634

Ecotoxicol Environ Saf. 2023 Jul 14;263:115256. doi: 10.1016/j.ecoenv.2023.115256. Online ahead of print.ABSTRACTThe pathophysiology of osteoporosis (OP) is influenced by exposure to nonessential harmful metals and insufficient or excessive intake of necessary metals. Investigating multiple plasma metals, metabolites, and OP risk among older adults may reveal novel clues of underlying mechanisms for metal toxicity on bone mass. A total of 294 adults ≥ 55 years from Wuhan communities were included. Plasma concentrations of 23 metals and metabolites were measured via inductively coupled plasma-mass spectrometry and global metabolite detection. To investigate the relationships between plasma metals, OP risk, and OP-related metabolites, three different statistical techniques were used: generalized linear regression model, two-way orthogonal partial least-squares analysis (O2PLS), and weighted quantile sum (WQS). The mean ages were 66.82 and 66.21 years in OP (n = 115) and non-OP (n = 179) groups, respectively. Of all 2999 metabolites detected, 111 differential between-group members were observed. The OP risk decreased by 58.5% (OR=0.415, 95% CI: 0.237, 0.727) per quartile increment in the WQS index indicative of metal mixture exposure. Consistency remained for bone mineral density (BMD) measurements. The O2PLS model identified the top five OP-related metabolites, namely, DG(18:2_22:6), 3-phenoxybenzoic acid, TG(16:1_16:1_22:6), TG(16:0_16:0_20:4), and TG(14:1_18:2_18:3), contributing most to the joint covariation between the metal mixture and metabolites. Significant correlations between each of them and the metal mixture were found using WQS regression. Furthermore, the five metabolites mediated the associations of the metal mixtures, BMD, and OP risk. Our findings shed additional light on the mediation functions of plasma metabolites in the connection between multiple metal co-exposure and OP pathogenesis and offer new insights into the probable mechanisms underpinning the bone effects of the metal mixture.PMID:37454484 | DOI:10.1016/j.ecoenv.2023.115256

Chin Med. 2023 Jul 16;18(1):85. doi: 10.1186/s13020-023-00794-w.ABSTRACTBACKGROUND: Anxiety is a prominent withdrawal symptom of methamphetamine (Meth) addiction. Recently, the gut microbiota has been regarded as a promising target for modulating anxiety. Gegen-Qinlian decoction (GQD) is a classical Traditional Chinese Medicine applied in interventions of various gut disorders by balancing the gut microbiome. We aim to investigate whether GQD could alleviate Meth withdrawal anxiety through balancing gut microbiota and gut microenvironment.METHODS: Meth withdrawal anxiety models were established in mice. GQD were intragastric administrated into Meth-withdrawn mice and controls. Gut permeability and inflammatory status were examined in mice. Germ-free (GF) and antibiotics-treated (Abx) mice were used to evaluate the role of gut bacteria in withdrawal anxiety. Gut microbiota was profiled with 16s rRNA sequencing in feces. Metabolomics in colon tissue and in Akkermansia culture medium were performed.RESULTS: Meth withdrawal enhanced anxiety-like behaviors in wild-type mice, and altered gut permeability, and inflammatory status, while GQD treatment during the withdrawal period efficiently alleviated anxiety-like behaviors and improved gut microenvironment. Next, we found Germ-free (GF) and antibiotics-treated (Abx) mice did not develop anxiety-like behaviors by Meth withdrawal, indicating the essential role of gut bacteria in Meth withdrawal induced anxiety. Then, it was observed that gut microbiota was greatly affected in Meth-withdrawn mice, especially the reduction in Akkermansia. GQD can rescue the gut microbiota and reverse Akkermansia abundance in Meth-withdrawn mice. Meanwhile, GQD can also restore the Meth-impaired Akkermansia growth in vitro. Further, GQD restored several common metabolite levels both in colon in vivo and in Akkermansia in vitro.CONCLUSIONS: We revealed a novel effect of GQD on Meth withdrawal anxiety and identified its pharmacological target axis as "Akkermansia-Akkermansia metabolites-gut metabolites-gut microenvironment". Our findings indicated that targeting gut bacteria with TCM, such as GQD, might be a promising therapeutic strategy for addiction and related withdrawal symptoms.PMID:37455317 | DOI:10.1186/s13020-023-00794-w

J Transl Med. 2023 Jul 16;21(1):472. doi: 10.1186/s12967-023-04327-9.ABSTRACTBACKGROUND: Cell pyroptosis has a strong proinflammatory effect, but it is unclear whether pyroptosis of liver macrophages exacerbates liver tissue damage during liver ischemia‒reperfusion (I/R) injury. Maresin1 (MaR1) has a strong anti-inflammatory effect, and whether it can suppress liver macrophage pyroptosis needs further study.METHODS: This study aimed to investigate whether MaR1 can alleviate liver I/R injury by inhibiting macrophage pyroptosis. The effects of MaR1 on cell pyroptosis and mitochondrial damage were studied by dividing cells into control, hypoxia/reoxygenation, and hypoxia/reoxygenation + MaR1 groups. Knocking out RORa was used to study the mechanism by which MaR1 exert its protective effects. Transcriptome analysis, qRT‒PCR and Western blotting were used to analyze gene expression. Untargeted metabolomics techniques were used to analyze metabolite profiles in mice. Flow cytometry was used to assess cell death and mitochondrial damage.RESULTS: We first found that MaR1 significantly reduced liver I/R injury. We observed that MaR1 decreased liver I/R injury by inhibiting liver macrophage pyroptosis. Then, we discovered that MaR1 promotes mitochondrial oxidative phosphorylation, increases the synthesis of ATP, reduces the generation of ROS, decreases the impairment of mitochondrial membrane potential and inhibits the opening of mitochondrial membrane permeability transition pores. MaR1 inhibits liver macrophage pyroptosis by protecting mitochondria. Finally, we found that MaR1 exerts mitochondrial protective effects through activation of its nuclear receptor RORa and the PI3K/AKT signaling pathway.CONCLUSIONS: During liver I/R injury, MaR1 can reduce liver macrophage pyroptosis by reducing mitochondrial damage, thereby reducing liver damage.PMID:37455316 | DOI:10.1186/s12967-023-04327-9

J Tradit Chin Med. 2023 Aug;43(4):725-733. doi: 10.19852/j.cnki.jtcm.2023.04.007.ABSTRACTOBJECTIVE: To investigate the effect of Tuina on the plasma metabolites of lipopolysaccharide-induced febrile in infant rabbits.METHODS: Twenty-four infant New Zealand rabbits were selected and randomly divided into three groups: saline, model, and Tuina. The fever model was established by injecting LPS intravenously through the ear margin vein in the model group and Tuina group, respectively. The modeling was considered successful when the anal temperature increased by 0.5℃ or above within 1 h. In the Tuina group, six Tuina techniques (i.e., opening Tianmen / the heaven gate, pushing Kangong / the superciliary arch, kneading Taiyang and the prominent bone behind the ears, clearing Tianheshui, spine pinching) that alleviate fever were performed on the young rabbits 1 h after the modeling, whereas the model and saline groups were not given Tuina treatment, with the real-time anal temperature monitored during the experiment. The plasma was taken 3 h after the modeling for liquid chromatography-mass spectrometry (LC-MS) untargeted metabolomics study.RESULTS: Our results showed a fever-reducing effects of Tuina therapy on lipopolysaccharide-induced fever in young rabbits, as indicated by a significantly lower anal temperature, maximum rise in body temperature, and body response index at 2 and 3 h after modeling in the Tuina group compared to the model group, with reductions in the PGE2 expression observed in the blood and hypothalamus. The differential metabolites including riboflavin, nicotinamide N-oxide, porphobilinogen, 5-hydroxyindoleacetic acid, gamma-aminobutyric acid, and lysoPC (16:1 (9Z)/0:0) were found following the Tuina intervention. Tuina primarily involves glycine-serine-threonine, arginine-proline, porphyrin-chlorophyll, pyrimidine, primary bile acid biosynthesis, and cyanoamino acid metabolic pathways.CONCLUSION: Tuina therapy has proven to be effective in reducing body temperature and down-regulating PGE2 expression in LPS-induced febrile young rabbits, with its mechanism of fever-reducing action possibly associated with the changes in plasma metabolites and metabolic pathways.PMID:37454257 | DOI:10.19852/j.cnki.jtcm.2023.04.007

BMC Plant Biol. 2023 Jul 15;23(1):361. doi: 10.1186/s12870-023-04368-8.ABSTRACTBACKGROUND: Red flesh is a desired fruit trait, but the regulation of red flesh formation in grape is not well understood. 'Mio Red' is a seedless table grape variety with light-red flesh and blue-purple skin. The skin color develops at veraison whereas the flesh color develops at a later stage of berry development. The flesh and skin flavonoid metabolomes and transcriptomes were analyzed.RESULTS: A total of 161 flavonoids were identified, including 16 anthocyanins. A total of 66 flavonoids were found at significantly different levels in the flesh and skin (fold change ≥ 2 or ≤ 0.5, variable importance in projection (VIP) ≥ 1). The main anthocyanins in the flesh were pelargonidin and peonidin, and in the skin were peonidin, delphinidin, and petunidin. Transcriptome comparison revealed 57 differentially expressed structural genes of the flavonoid-metabolism pathway (log2fold change ≥ 1, FDR < 0.05, FPKM ≥ 1). Two differentially expressed anthocyanin synthase (ANS) genes were annotated, ANS2 (Vitvi02g00435) with high expression in flesh and ANS1 (Vitvi11g00565) in skin, respectively. One dihydro flavonol 4-reductase (DFR, Vitvi18g00988) gene was differentially expressed although high in both skin and flesh. Screened and correlation analysis of 12 ERF, 9 MYB and 3 bHLH genes. The Y1H and dual luciferase assays showed that MYBA1 highly activates the ANS2 promoter in flesh and that ERFCBF6 was an inhibitory, EFR23 and bHLH93 may activate the DFR gene. These genes may be involved in the regulation of berry flesh color.CONCLUSIONS: Our study revealed that anthocyanin biosynthesis in grape flesh is independent of that in the skin. Differentially expressed ANS, MYB and ERF transcription factors provide new clues for the future breeding of table grapes that will provide the health benefits as red wine.PMID:37454071 | DOI:10.1186/s12870-023-04368-8

J Ethnopharmacol. 2023 Jul 13:116910. doi: 10.1016/j.jep.2023.116910. Online ahead of print.ABSTRACTETHNOPHARMACOLOGICAL RELEVANCE: Aspirin, as a first-line drug for the treatment of cardiovascular diseases, currently has high clinical usage. However, reports of aspirin-induced gastric mucosal injury are increasing. Xiaojianzhong decoction (XJZD), a classic traditional Chinese medicine formula, has been shown to alleviate gastric mucosal injury, although its potential mechanism of action requires further study.AIM OF THE STUDY: This study aimed to explore the effect and mechanism of XJZD in preventing aspirin-induced gastric mucosal injury.MATERIALS AND METHODS: Aspirin was used to induce damage in the morning, while XJZD was applied as an intervention in the afternoon. The compounds in the XJZD were analyzed by means of both high-performance liquid chromatography and ultra-performance liquid chromatography-tandem mass spectrometry. The overall condition of the aspirin-related gastric mucosal injury was evaluated. The expressions of inflammatory factors and tight-junction-related proteins and apoptosis were observed via immunohistochemistry and immunofluorescence. The expression levels of the apoptosis-related proteins were detected using Western blot. Transcriptomics was used to perform the integrative analysis of gastric tissues, which was then validated. Molecular dynamics was used to explore the interaction of key compounds within the XJZD with relevant targets. Finally, non-targeted metabolomics was used to observe any metabolic changes and construct a network between the differentially expressed genes and the differential metabolites to elucidate their potential relationship.RESULTS: XJZD can alleviate inflammation response, maintain the gastric mucosal barrier's integrity, reduce apoptosis and necroptosis levels, and promote the proliferation and repair of gastric mucosal tissues. Its mechanism of action may be related to the regulation of TNF-α signaling. Furthermore, molecular docking showed that the cinnamaldehyde within XJZD played an important role in its effects. In addition, XJZD can correct metabolic disorders, mainly regulating amino acid metabolism pathways. Moreover, six differential genes (Cyp1a2, Cyp1a1, Pla2g4c, etc.) were determined to alleviate both gastric mucosal injury and inflammation by regulating arachidonic acid metabolism, Tryptophan metabolism, etc. CONCLUSIONS: This study is the first to report that XJZD can inhibit necroptosis and gastric mucosal injury induced by aspirin, thereby revealing the complex mechanism of XJZD in relation to alleviating gastric mucosal injury from multiple levels and perspectives.PMID:37453623 | DOI:10.1016/j.jep.2023.116910

Clin Chim Acta. 2023 Jul 13:117490. doi: 10.1016/j.cca.2023.117490. Online ahead of print.ABSTRACTBACKGROUND: Gestational diabetes mellitus (GDM) poses a risk of short-term and long-term complications for both mother and fetus. However, there is a lack of consensus on the screening approach and pathophysiology of GDM.METHODS: Women were screened at 24 to 28 weeks gestation using the one-step screening approach and serum samples were collected for metabolomics based on 1H-NMR spectroscopy. A random forest classifier was developed to evaluate its diagnostic efficacy on GDM.RESULTS: Serum metabolic fingerprints of women with GDM differed significantly from those with normoglycemic. Of the 59 differential metabolites identified, 25 were well-known risk metabolites associated with type 2 diabetes or cardiovascular diseases, such as branched-chain amino acids and trimethylamine N-oxide. In addition, most of the differential metabolites were microbial metabolites or could be metabolized by gut microbes. The correlation between serum metabolites and maternal 75 g OGTT glucose values supported the establishment of a random forest classifier, which selected 21 metabolites to predict GDM with an AUC of 0.988.CONCLUSIONS: Metabolic disturbances in the host and gut microbiota may be a persistent contributor to the risk of developing type 2 diabetes or cardiovascular diseases in GDM. Targeting microbiota is one intervention that needs to be considered.PMID:37453553 | DOI:10.1016/j.cca.2023.117490