PubMed

Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi. 2023 Jan 20;41(1):21-30. doi: 10.3760/cma.j.cn121094-20211011-00495.ABSTRACTObjective: Differential flora and differential metabolites shared by the intestinal and respiratory tracts of rats were screened to analyze the possible role of changes in intestinal flora and metabolites in the progression of pneumoconiosis in rats. Methods: In April 2020, 18 SD rats were randomly divided into three groups (control group, coal mine dust group and silica group, 6 in each group) , rats in the coal mine dust group and silica group were perfused with 1 ml of 50 mg/ml coal mine well dust suspension and silica suspension by nontracheal exposure, respectively. While rats in the control group were perfused with an equal dose of sterilized normal saline. Twenty four weeks after dust staining, rat feces, throat swabs, and lung lavages were collected. 16SrDNA gene sequencing and UHPLC-QTOF-MS untargeted metabolomics were used to analyze the flora and metabolites in feces, throat swabs and lung lavage fluid of rats in each group, to screen for shared differential flora and shared differential metabolites in intestinal and respiratory tract, and the correlation analysis between the differential flora and metabolites was performed using Spearman's statistics. Results: Compared with the control group, a total of 9 species shared differential flora between intestinal and respiratory tract were screened at phylum level, and a total of 9 species shared differential genus between intestinal and respiratory tract were screened at genus level in the coal mine dust group, mainly Firmicutes, Actinobacteria, Streptococcus, Lactobacillus, etc. Compared with the control group, a total of 9 shared differential flora were screened at the phylum level, and a total of 5 shared differential genus were screened at the genus level in the silica group, mainly Proteobacteria, Actinobacteria, Allobactera, Mucilaginibacter, etc. Compared with the control group, a total of 7 shared differential metabolites were screened for up-regulation of Stigmatellin, Linalool oxide and Isoleucine-leucine in both intestinal and respiratory tract in the coal mine dust group. Compared with the control group , a total of 19 shared differential metabolites werescreened in the silica group, of which Diethanolamine, 1-Aminocyclopropanecarboxylic acid, Isoleucine-leucine, Sphingosine, Palmitic acid, D-sphinganine, 1, 2-dioleoyl-sn-glycero-3-phosphatidylcholine, and 1-Stearoyl-2-oleoyl-sn-glycerol 3-phosphocholine were up-regulated in both the intestinal and respiratory tract. Conclusion: There is a translocation of intestinal and respiratory flora in pneumoconiosis rats, and rats have an imbalance of lipid metabolism during the progression of pneumoconiosis.PMID:36725290 | DOI:10.3760/cma.j.cn121094-20211011-00495

Zhongguo Zhong Yao Za Zhi. 2023 Jan;48(1):160-169. doi: 10.19540/j.cnki.cjcmm.20220901.401.ABSTRACTThis research aimed to study the effect of Uremic Clearance Granules on chronic kidney disease in SD rats by using the methods of microbial functional genomics combined with metabolomics, and to preliminarily explore its mechanism. The SD rat model of chronic kidney disease was established by the adenine-induced method. After the model was successfully induced, the animals were randomly divided into a negative control group, a Uremic Clearance Granule treatment group, and a normal control group, with 8 rats in each group. After 4 weeks of administration, animal feces and serum were collected, and 16S rDNA sequencing technology was used to analyze the abundance, diversity, and function prediction of intestinal microorganisms. Liquid chromatography-mass spectrometry(LC-MS) technology was used to perform high-throughput sequencing to detect animal serum metabolites. The MetPA database was used to screen out potential biomarkers of chronic kidney disease in rats and conduct the enrichment analysis of metabolic pathways. Spearman's method was used to analyze the correlation between the two omics. The results showed that Uremic Clearance Granules effectively improved the body weight loss and renal function-related biochemical and appearance indicators in rats with chronic kidney disease. The results of 16S rDNA sequencing showed that Uremic Clearance Granules regulated the diversity and composition of the intestinal flora in rats with chronic kidney disease. The changes in the intestinal flora affected functional metabolic pathways such as amino acid biosynthesis and metabolism, lipid metabolism, and carbohydrate metabolism. The results of LC-MS showed that as compared with the negative control group, 15 metabolites were reversed in the Uremic Clearance Granule treatment group, among which 11 potential marker metabolites were significantly up-regulated and 4 potential marker metabolites were significantly down-regulated. Five amino acid metabolic pathways were mainly involved, which were significantly correlated with changes in the intestinal flora. Therefore, Uremic Clearance Granules can improve the renal function of rats with chronic kidney disease, and the mechanism may be related to its effect on the amino acid metabolism pathway by regulating the intestinal flora.PMID:36725268 | DOI:10.19540/j.cnki.cjcmm.20220901.401

Zhongguo Zhong Yao Za Zhi. 2023 Jan;48(1):148-159. doi: 10.19540/j.cnki.cjcmm.20220928.401.ABSTRACTA hyperuricemic rat model induced by adenine and ethambutol was established to investigate the anti-hyperuricemia activity and its mechanism of the flavonoid extract from saffron floral bio-residues. Sixty-seven SD rats were randomly divided into control group, model group, positive control group, and flavonoid extract groups(with 3 doses), respectively, and each group contained 11 or 12 rats. The hyperuricemic model was established by continuous oral administration of adenine(100 mg·kg~(-1)) and ethambutol(250 mg·kg~(-1)) for 7 days. At the same time, the positive control group was given allopurinol(20 mg·kg~(-1) per day) and the flavonoid extract groups were given the flavonoid extract at doses of 340, 170 and 85 mg·kg~(-1) per day, respectively. On day 8, rat serum, liver, kidney, and intestinal tissues were collected, and the levels of uric acid in serum and tissue, the xanthine oxidase activities and antioxi-dant activities in serum and liver were evaluated, and the kidney histopathology was explored. In addition, an untargeted serum metabolomics study was performed. According to the results, the flavonoid extract effectively reduced the uric acid levels in serum, kidney and ileum and inhibited the xanthine oxidase activities and elevated the antioxidant activities of serum and liver in hyperuricemic rat. At the same time, it reduced the levels of inflammation factors in kidney and protected renal function. Moreover, 68 differential metabolites of hyperuricemic rats were screened and most of which were lipids and amino acids. The flavonoid extract significantly retrieved the levels of differential metabolites in hyperuricemic rats, such as SM(d18:1/20:0), PC[18:0/18:2(92,12Z)], palmitic acid and citrulline, possibly through the following three pathways, i.e., arginine biosynthesis, glycine, serine and threonine metabolism, and histidine metabolism. To sum up, the flavonoid extract of saffron floral bio-residues lowered the uric acid level, increased the antioxidant activity, and alleviated inflammatory symptoms of hyperuricemic rats, which may be related to its inhibition of xanthine oxidase activity and regulation of serum lipids and amino acids metabolism.PMID:36725267 | DOI:10.19540/j.cnki.cjcmm.20220928.401

Zhongguo Zhong Yao Za Zhi. 2023 Jan;48(1):140-147. doi: 10.19540/j.cnki.cjcmm.20220914.401.ABSTRACTThis study used the zebrafish model to explore the hepatotoxicity of Rhododendri Mollis Flos(RMF). The mortality was calculated according to the number of the survival of zebrafish larvae 4 days after fertilization under different concentration of RMF, and the dose-toxicity curve was fitted to preliminarily evaluate the toxicity of RMF. The liver phenotypes under the sublethal concentration of RMF in the treatment group and the blank control group were observed by hematoxylin-eosin(HE) staining and acridine orange(AO) staining. Meanwhile, the activities of alanine aminotransferase(ALT) and aspartate aminotransferase(AST) were determined to confirm the hepatotoxicity of RMF. Real-time quantitative polymerase chain reaction(real-time PCR) and Western blot were used to determine the expressions of genes and proteins in zebrafish larvae. Gas chromatography time-of-flight mass spectrometry(GC-TOF-MS) was used to conduct untargeted metabolomics testing to explore the mechanism. The results showed that the toxicity of RMF to zebrafish larvae was dose-dependent, with 1 100 μg·mL~(-1) of the absolute lethal concentration and 448 μg·mL~(-1) of sublethal concentration. The hepatocyte apoptosis and degeneration appeared in the zebrafish larvae under the sublethal concentration of RMF. The content of ALT and AST in zebrafish larvae at the end of the experiment was significantly increased in a dose-dependent manner. Under the sublethal concentration, the expressions of genes and proteins related to apoptosis in zebrafish larvae were significantly increased as compared with the blank control group. The results of untargeted metabolomics showed that the important metabolites related to the he-patotoxicity of RMF were mainly enriched in alanine, aspartic acid, glutamic acid, and other pathways. In conclusion, it is inferred that RMF has certain hepatotoxicity to zebrafish larvae, and its mechanism may be related to apoptosis.PMID:36725266 | DOI:10.19540/j.cnki.cjcmm.20220914.401

Zhongguo Zhong Yao Za Zhi. 2023 Jan;48(1):82-95. doi: 10.19540/j.cnki.cjcmm.20220712.301.ABSTRACTWith the approach of untargeted metabolomics and correlation analysis, this study aimed to explore the mechanism of Aurantii Fructus from Lingnan region in alleviating dryness by analyzing the different effects of raw Aurantii Fructus(RAF) and processed Aurantii Fructus(PAF) on fecal endogenous metabolism in normal rats. Eighteen Sprague-Dawley(SD) rats were randomly divided into a control group(C), an RAF group(10 g·kg~(-1)), and a PAF group(10 g·kg~(-1)). After seven days of administration, the effects of RAF and PAF on dryness-related indexes were compared, including water intake, fecal water content, salivary secretion, the expression of AQP5, VIP, and 5-HT in the submandibular gland, as well as the expression of AQP3, VIP, and 5-HT in the colon. The fecal samples in each group were determined by LC-MS. Multivariate statistical analysis and Pearson correlation coefficient were used for screening the differential metabolites and metabolic pathways in alleviating dryness of RAF. The results indicated that both RAF and PAF showed certain dryness, and the dryness of RAF was more significant. Moreover, PAF could alleviate dryness of RAF to a certain extent by reducing the water intake, fecal water content, and the expression of AQP3, VIP, and 5-HT in the colon and increasing the salivary secretion and the levels of AQP5, VIP, and 5-HT in the submandibular gland. According to the analysis of fecal metabolomics, 99 and 58 metabolites related to dryness were found in RAF and PAF respectively, where 16 of them played an important role in alleviating dryness of RAF. Pathway analysis revealed that the mechanism of PAF in alleviating dryness of RAF was presumably related to the regulation of riboflavin metabolism, purine metabolism, arginine biosynthesis, pyrimidine metabolism, alanine metabolism, aspartate metabolism, glutamate metabolism, and retinol metabolism pathways. This study suggested that PAF might alleviate dryness of RAF by affecting the metabolic levels of the body, which provides a new basis for further clarifying the processing mechanism of PAF.PMID:36725261 | DOI:10.19540/j.cnki.cjcmm.20220712.301

Zhongguo Zhong Yao Za Zhi. 2023 Jan;48(2):507-516. doi: 10.19540/j.cnki.cjcmm.20220913.702.ABSTRACTIn this study, an ultra-performance liquid chromatography-quadrupole time-of-flight high resolution mass spectrometer(UPLC-Q-TOF-HRMS) was used to investigate the effects of the active ingredients in Periploca forrestii compound on spleen metabolism in rats with collagen-induced arthritis(CIA), and its potential anti-inflammatory mechanism was analyzed by network pharmacology. After the model of CIA was successfully established, the spleen tissues of rats were taken 28 days after administration. UPLC-Q-TOF-HRMS chromatograms were collected and analyzed by principal component analysis(PCA), orthogonal partial least squares discriminant analysis(OPLS-DA), and MetPA. The results showed that as compared with the blank control group, 22 biomarkers in the spleen tissues such as inosine, citicoline, hypoxanthine, and taurine in the model group increased, while 9 biomarkers such as CDP-ethanolamine and phosphorylcholine decreased. As compared with the model group, 21 biomarkers such as inosine, citicoline, CDP-ethanolamine, and phosphorylcholine were reregulated by the active ingredients in P. forrestii. Seventeen metabolic pathways were significantly enriched, including purine metabolism, taurine and hypotaurine metabolism, glycerophospholipid metabolism, and cysteine and methionine metabolism. Network pharmacology analysis found that purine metabolism, glycerophospholipid metabolism, and cysteine and methionine metabolism played important roles in the pathological process of rheumatoid arthritis. This study suggests that active ingredients in P. forrestii compound can delay the occurrence and development of inflammatory reaction by improving the spleen metabolic disorder of rats with CIA. The P. forrestii compound has multi-target and multi-pathway anti-inflammatory mechanism. This study is expected to provide a new explanation for the mechanism of active ingredients in P. forrestii compound against rheumatoid arthritis.PMID:36725240 | DOI:10.19540/j.cnki.cjcmm.20220913.702

Zhongguo Zhong Yao Za Zhi. 2023 Jan;48(2):492-506. doi: 10.19540/j.cnki.cjcmm.20220905.705.ABSTRACTThis study aimed to investigate the effective substances and mechanism of Yishen Guluo Mixture in the treatment of chronic glomerulonephritis(CGN) based on metabolomics and serum pharmacochemistry. The rat model of CGN was induced by cationic bovine serum albumin(C-BSA). After intragastric administration of Yishen Guluo Mixture, the biochemical indexes related to renal function(24-hour urinary protein, serum urea nitrogen, and creatinine) were determined, and the efficacy evaluations such as histopathological observation were carried out. The serum biomarkers of Yishen Guluo Mixture in the treatment of CGN were screened out by ultra-performance liquid chromatography-quadrupole time-of-flight/mass spectrometry(UPLC-Q-TOF-MS) combined with multivariate statistical analysis, and the metabolic pathways were analyzed. According to the mass spectrum ion fragment information and metabolic pathway, the components absorbed into the blood(prototypes and metabolites) from Yishen Guluo Mixture were identified and analyzed by using PeakView 1.2 and MetabolitePilot 2.0.4. By integrating metabolomics and serum pharmacochemistry data, a mathematical model of correlation analysis between serum biomarkers and components absorbed into blood was constructed to screen out the potential effective substances of Yishen Guluo Mixture in the treatment of CGN. Yishen Guluo mixture significantly decreased the levels of 24-hour urinary protein, serum urea nitrogen, and creatinine in rats with CGN, and improved the pathological damage of the kidney tissue. Twenty serum biomarkers of Yishen Guluo Mixture in the treatment of CGN, such as arachidonic acid and lysophosphatidylcholine, were screened out, involving arachidonic acid metabolism, glycerol phosphatide metabolism, and other pathways. Based on the serum pharmacochemistry, 8 prototype components and 20 metabolites in the serum-containing Yishen Guluo Mixture were identified. According to the metabolomics and correlation analysis of serum pharmacochemistry, 12 compounds such as genistein absorbed into the blood from Yishen Guluo Mixture were selected as the potential effective substances for the treatment of CGN. Based on metabolomics and serum pharmacochemistry, the effective substances and mechanism of Yishen Guluo Mixture in the treatment of CGN are analyzed and explained in this study, which provides a new idea for the development of innovative traditional Chinese medicine for the treatment of CGN.PMID:36725239 | DOI:10.19540/j.cnki.cjcmm.20220905.705

Zhongguo Zhong Yao Za Zhi. 2023 Jan;48(2):421-429. doi: 10.19540/j.cnki.cjcmm.20220612.202.ABSTRACTThe chemical constituents in the ethanol extract of Hypericum wightianum(Hypericaceae) were purified by column chromatography and identified via magnetic resonance imaging(NMR), high-resolution mass spectrum, and circular dichroism. A total of 22 compounds were identified, including eight polyprenylated phloroglucinols(1-8), three chromones(9-11), and three terpenoids(14-16) and so on. Among them, compounds 16 and 17 were first reported in the genus Hypericum, and compounds 1-11, 14, 15, and 19 were first isolated from H. wightianum. Compounds 1-4 were previously reported as two pairs of enantiomers. This study reported the chiral resolutions and absolute configurations of compounds 1-4 for the first time.PMID:36725232 | DOI:10.19540/j.cnki.cjcmm.20220612.202

Zhongguo Zhong Yao Za Zhi. 2023 Jan;48(2):399-414. doi: 10.19540/j.cnki.cjcmm.20220816.301.ABSTRACTThis study aims to explore the chemical composition of Rehmanniae Radix braised with mild fire and compare the effect of processing method on the chemical composition of Rehmanniae Radix. To be specific, ultra-high performance liquid chromatography with linear ion trap-orbitrap mass spectrometry(UHPLC-LTQ-Orbitrap MS) was used to screen the chemical constituents of Rehmanniae Radix. The chemical constituents were identified based on the relative molecular weight and fragment ions, literature information, and Human Metabolome Database(HMDB). The ion peak area ratio of each component before and after processing was used as the index for the variation. SIMCA was employed to establish principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) models of different processed products. According to the PCA plot, OPLS-DA plot, and VIP value, the differential components before and after the processing were screened out. The changes of the content of differential components with the processing method were analyzed. A total of 66 chemical components were identified: 57 of raw Rehmanniae Radix, 55 of steamed Rehmanniae Radix, 55 of wine-stewed Rehmanniae Radix, 51 of repeatedly steamed and sundried Rehmanniae Radix Praeparata, 62 of traditional bran-braised Rehmanniae Radix, and 63 of electric pot-braised Rehmanniae Radix. Among them, the 9 flavonoids of braised Rehmanniae Radix were from Citri Reticulatae Pericarpium. PCA suggested significant differences in the chemical composition of Rehmanniae Radix Praeparata prepared with different processing methods. OPLS-DA screened out 32 chemical components with VIP value >1 as the main differential components. Among the differential components, 9 were unique to braised Rehmanniae Radix(traditional bran-braised, electric pot-braised) and the degradation rate of the rest in braised(traditional bran-braised, electric pot-braised) or repeatedly steamed and sundried Rehmanniae Radix was higher than that in the steamed or wine-stewed products. The results indicated the chemical species and component content of Rehmanniae Radix changed significantly after the processing. The 32 components, such as rehmapicrogenin, martynoside, jionoside D, aeginetic acid, hesperidin, and naringin, were the most important compounds to distinguish different processed products of Rehmanniae Radix. The flavonoids introduced by Citri Reticulatae Pericarpium as excipient may be the important material basis for the effectiveness of braised Rehmanniae Radix compared with other processed products.PMID:36725230 | DOI:10.19540/j.cnki.cjcmm.20220816.301

FEMS Microbiol Rev. 2023 Feb 1:fuad001. doi: 10.1093/femsre/fuad001. Online ahead of print.ABSTRACTMolecular technologies including high-throughput sequencing have expanded our perception of the microbial world. Unprecedented insights into the composition and function of microbial communities has generated large interest, with numerous landmark studies published in recent years relating the important roles of microbiomes and the environment-especially diet and nutrition-in human, animal, and global health. As such, food microbiomes represent an important cross-over between the environment and host. This is especially true of fermented food microbiomes, which actively introduce microbial metabolites and to a lesser extent, live microbes into the human gut. Here we discuss the history of fermented foods, and examine how molecular approaches have advanced research of these fermented foods over the past decade. We highlight how various molecular approaches have helped us to understand the ways in which microbes shape the qualities of these products, and we summarise the impacts of consuming fermented foods on the gut. Finally, we explore how advances in bioinformatics could be leveraged to enhance our understanding of fermented foods. This review highlights how integrated molecular approaches are changing our understanding of the microbial communities associated with food fermentation, the creation of unique food products, and their influences on the human microbiome and health.PMID:36725208 | DOI:10.1093/femsre/fuad001

Adv Cancer Res. 2023;157:57-81. doi: 10.1016/bs.acr.2022.07.002. Epub 2022 Oct 1.ABSTRACTThe development of robust cancer biomarkers is the most effective way to improve overall survival, as early detection and treatment leads to significantly better clinical outcomes. Many of the cancer biomarkers that have been identified and are clinically utilized are glycoproteins, oftentimes a specific glycoform. Aberrant glycosylation is a common theme in cancer, with dysregulated glycosylation driving tumor initiation and metastasis, and abnormal glycosylation can be detection both on the tissue surface and in serum. However, most cancer types are heterogeneous in regard to tumor genomics, and this heterogeneity extends to cancer glycomics. This limits the sensitivity of standalone glycan-based biomarkers, which has slowed their implementation clinically. However, if targeted biomarker development can take into account genomic tumor information, the development of complementary biomarkers that target unique cancer subgroups can be accomplished. This idea suggests the need for algorithm-based cancer biomarkers, which can utilize multiple biomarkers along with relevant demographic information. This concept has already been established in the detection of hepatocellular carcinoma with the GALAD score, and an algorithm-based approach would likely be effective in improving biomarker sensitivity for additional cancer types. In order to increase cancer diagnostic biomarker sensitivity, there must be more targeted biomarker development that considers tumor genomic, proteomic, metabolomic, and clinical data while identifying tumor biomarkers.PMID:36725113 | DOI:10.1016/bs.acr.2022.07.002

Ecotoxicol Environ Saf. 2023 Jan 30;252:114585. doi: 10.1016/j.ecoenv.2023.114585. Online ahead of print.ABSTRACTMarine and intertidal heavy metal pollution has been a major concern in recent years. Tachypleus tridentatus has existed on earth for more than 430 million years. It has suffered a sharp decline in population numbers caused by environmental pollution and anthropogenic disturbance for almost 40 years. However, the effects of heavy metal pollution on juvenile T. tridentatus have not been reported. Here we show the mechanism of cadmium (Cd) detoxification in juvenile T. tridentatus using integrated antioxidant indexes and transcriptomic and metabolomic analysis. High Cd2+ concentration caused oxidative stress in juvenile T. tridentatus. The hazards increase with increasing Cd2+ concentration in juvenile T. tridentatus. Transcriptomics and metabolomics analyses concluded that high Cd2+ concentration resulted in the imbalance of glycerophospholipid metabolism in juvenile T. tridentatus to detoxify Cd. Our results offer a rationale for protective measures and further studies of heavy metal stress in T. tridentatus.PMID:36724710 | DOI:10.1016/j.ecoenv.2023.114585

Plant Physiol Biochem. 2023 Jan 28;196:210-221. doi: 10.1016/j.plaphy.2023.01.050. Online ahead of print.ABSTRACTAs a well-recognized traditional Chinese medicine (TCM), immature fruits of Citrus grandis 'Tomentosa' (CGT) serve to cure chronic cough in humans. Specialized metabolites including flavonoids may have contribute to this curing effect. Knowledge about the molecular mechanisms underlying flavonoid biosynthesis in 'Tomentosa' fruits will, therefore, support the breeding of varieties with improved medicinal properties. Hence, we profiled the transcriptomes and metabolites of the fruits of two contrasting C. grandis varieties, namely 'Zheng-Mao' ('ZM') used in TCM production, and a locally cultivated pomelo, namely 'Guang-Qing' ('GQ'), at four developmental stages. A total of 39 flavonoids, including 14 flavanone/flavone, 5 isoflavonoids, 12 flavonols, and 6 anthocyanins, were identified, and 16 of which were quantitatively determined in the fruits of the two varieties. We found that 'ZM' fruits contain more flavonoids than 'GQ'. Specifically, rhoifolin levels were significantly higher in 'ZM' than in 'GQ'. We annotated 31,510 genes, including 1,387 previously unknown ones, via transcriptome sequencing of 'ZM' and 'GQ.' A total of 646 genes were found to be differentially expressed between 'ZM' and 'GQ' throughout at all four fruit developmental stages, indicating that they are robust expression markers for future breeding programs. Weighted gene co-expression network analysis identified 18 modules. Combined transcriptional and metabolic analysis revealed 25 genes related to flavonoid biosynthesis and 16 transcriptional regulators (MYBs, bHLHs, WD40) that may be involved in the flavonoids biosynthesis in C. grandis 'Tomentosa' fruits.PMID:36724705 | DOI:10.1016/j.plaphy.2023.01.050

Meat Sci. 2023 Jan 19;199:109121. doi: 10.1016/j.meatsci.2023.109121. Online ahead of print.ABSTRACTInsights into changes in microorganisms and metabolites in irradiated marbled beef may help elucidate the beneficial effects of irradiation on prolonging the shelf life of meat. In this study, 16S rRNA gene sequencing, ultra-high-performance liquid chromatography-tandem mass spectrometry, and Pearson's correlation analyses were conducted to detect key microorganisms, core metabolites, and potential correlation between the microbiome and metabolome in marbling beef. Microbiome analysis showed that irradiation effectively eradicated the spoilage bacterium Leuconostoc and reduced the proportions of Carnobacterium and Lactobacillus in marbled beef. Additionally, results of metabolomic analysis involving irradiated marbled beef revealed that metabolites with significant differences were mainly organic acids and their derivatives, lipids, and lipid-like molecules, including six core metabolites. Furthermore, a significant correlation between key bacteria and metabolites was observed. Carnobacterium, Lactobacillus, and Leuconostoc affected the accumulation of core metabolites in irradiated marbled beef by influencing amino acid and lipid metabolism. Characterization of the microbiota and metabolites, as well as clarification of their correlation, can contribute to a better understanding of the mechanisms whereby irradiation helps maintain meat quality.PMID:36724675 | DOI:10.1016/j.meatsci.2023.109121

Heart Lung. 2023 Jan 30;59:52-60. doi: 10.1016/j.hrtlng.2023.01.011. Online ahead of print.ABSTRACTBACKGROUND: There is currently a need to identify metabolomic responses to acute exercise in chronic obstructive pulmonary disease (COPD).OBJECTIVE: We investigated the metabolomic, oxidative, and inflammatory responses to constant (CE) and intermittent (IE) work rate exercises in COPD.METHODS: Sixteen males with COPD performed a symptom-limited incremental cycle exercise test (ICE). Metabolomic, oxidative, and inflammatory responses to CE and IE (based on the performance of ICE) were analyzed in the plasma.RESULTS: Fructose-6-phosphate, 3-phosphoglyceric acid, l-carnitine, and acylcarnitines levels were significantly decreased, whereas alpha-ketoglutaric, malic, 2-hydroxybutyric, and 3-hydroxybutyric acids were increased, after CE and IE (p<0.05). Increases in citric, isocitric, and lactic acids, as well as decreases in pyruvic and oxalic acids, were only present with IE (p<0.05). Isoleucine was decreased after both exercises (p<0.05). We observed an increase in inosine-5'-diphosphate, uric acid, ascorbic acid, and pantothenic acid, as well as a decrease in 5-hydroxymethyluridine, threonic acid, and dehydroascorbic acid, after IE (p<0.05). Catalase, reduced glutathione, and total antioxidant status difference values for both exercises were similar (p>0.05). The change in glutathione peroxidase (GPx) with CE was more significant than that with IE (p = 0.004). The superoxide dismutase change was greater with IE than with CE (p = 0.015). There were no significant changes in inflammatory markers after exercise (p>0.05).CONCLUSION: CE and IE cause isoleucine, l-carnitine, and acylcarnitine levels to decrease, whereas ketone bodies were increased, thus indicating the energy metabolism shift from carbohydrates to amino acid utilization and lipid metabolism in COPD. Compared with CE, IE produces significant changes in more metabolomics in terms of carbohydrates, lipids, amino acids, nucleotides, and vitamins. Acute CE and IE alter circulating GPx levels in COPD.PMID:36724589 | DOI:10.1016/j.hrtlng.2023.01.011

Anal Chem. 2023 Feb 1. doi: 10.1021/acs.analchem.2c04360. Online ahead of print.ABSTRACTMass spectrometry imaging (MSI) is a powerful tool that can be used to simultaneously investigate the spatial distribution of different molecules in samples. However, it is difficult to comprehensively analyze complex biological systems with only a single analytical technique due to different analytical properties and application limitations. Therefore, many analytical methods have been combined to extend data interpretation, evaluate data credibility, and facilitate data mining to explore important temporal and spatial relationships in biological systems. Image registration is an initial and critical step for multimodal imaging data fusion. However, the image registration of multimodal images is not a simple task. The property difference between each data modality may include spatial resolution, image characteristics, or both. The image registrations between MSI and different imaging techniques are often achieved indirectly through histology. Many methods exist for image registration between MSI data and histological images. However, most of them are manual or semiautomatic and have their prerequisites. Here, we built MSI Registrar (MSIr), a web service for automatic registration between MSI and histology. It can help to reduce subjectivity and processing time efficiently. MSIr provides an interface for manually selecting region of interests from histological images; the user selects regions of interest to extract the corresponding spectrum indices in MSI data. In the performance evaluation, MSIr can quickly map MSI data to histological images and help pinpoint molecular components at specific locations in tissues. Most registrations were adequate and were without excessive shifts. MSIr is freely available at https://msir.cmdm.tw and https://github.com/CMDM-Lab/MSIr.PMID:36724516 | DOI:10.1021/acs.analchem.2c04360

Sci Adv. 2023 Feb 3;9(5):eade8641. doi: 10.1126/sciadv.ade8641. Epub 2023 Feb 1.ABSTRACTPhosphatidylinositol (PI)regulating enzymes are frequently altered in cancer and have become a focus for drug development. Here, we explore the phosphatidylinositol-5-phosphate 4-kinases (PI5P4K), a family of lipid kinases that regulate pools of intracellular PI, and demonstrate that the PI5P4Kα isoform influences androgen receptor (AR) signaling, which supports prostate cancer (PCa) cell survival. The regulation of PI becomes increasingly important in the setting of metabolic stress adaptation of PCa during androgen deprivation (AD), as we show that AD influences PI abundance and enhances intracellular pools of PI-4,5-P2. We suggest that this PI5P4Kα-AR relationship is mitigated through mTORC1 dysregulation and show that PI5P4Kα colocalizes to the lysosome, the intracellular site of mTORC1 complex activation. Notably, this relationship becomes prominent in mouse prostate tissue following surgical castration. Finally, multiple PCa cell models demonstrate marked survival vulnerability following stable PI5P4Kα inhibition. These results nominate PI5P4Kα as a target to disrupt PCa metabolic adaptation to castrate resistance.PMID:36724278 | DOI:10.1126/sciadv.ade8641

Sci Transl Med. 2023 Feb;15(681):eabq4126. doi: 10.1126/scitranslmed.abq4126. Epub 2023 Feb 1.ABSTRACTSulfonylureas (SUs) are effective and affordable antidiabetic drugs. However, chronic use leads to secondary failure, limiting their utilization. Here, we identify cytochrome b5 reductase 3 (Cyb5r3) down-regulation as a mechanism of secondary SU failure and successfully reverse it. Chronic exposure to SU lowered Cyb5r3 abundance and reduced islet glucose utilization in mice in vivo and in ex vivo murine islets. Cyb5r3 β cell-specific knockout mice phenocopied SU failure. Cyb5r3 engaged in a glucose-dependent interaction that stabilizes glucokinase (Gck) to maintain glucose utilization. Hence, Gck activators can circumvent Cyb5r3-dependent SU failure. A Cyb5r3 activator rescued secondary SU failure in mice in vivo and restored insulin secretion in ex vivo human islets. We conclude that Cyb5r3 is a key factor in the secondary failure to SU and a potential target for its prevention, which might rehabilitate SU use in diabetes.PMID:36724243 | DOI:10.1126/scitranslmed.abq4126

J Appl Microbiol. 2022 Dec 14:lxac031. doi: 10.1093/jambio/lxac031. Online ahead of print.ABSTRACTAIMS: Propolis is a resinous bee product containing several hundred biologically active compounds. Although the antibacterial activity of propolis has been demonstrated in many in vitro studies, less is known about its mode of action. In this study, we aimed to shed some light on the antibacterial mechanism of action of propolis against Escherichia coli BW25113 using a nuclear magnetic resonance (NMR) based metabolomics approach.METHODS: E. coli BW25113 cells were subjected to different sub-lethal concentrations (0, 2, 4, and 6 mg/mL) of Turkish propolis water extract (PWE). The 500-MHz 1H NMR spectroscopy was then employed to ascertain the metabolic profiles of E. coli extracts.RESULTS: A total of 52 metabolites were identified from the NMR spectra, belonging to 17 main classes, such as amino acids and peptides, purines, and fatty acids. Twelve out of these 52 metabolites displayed remarkable changes at all tested PWE concentrations when compared to control conditions (P < .05). Levels of 28 more metabolites were significantly altered in at least one of the three PWE treatments. The results of partial least squares discriminant analysis showed that there was a clear separation between control and propolis-treated cells and that putrescine, adenine, adenosine, guanosine, glucose, N6-acetyllysine, and acetamide had the highest effect on group differentiation. Finally, quantitative pathway analysis revealed that purine metabolism was significantly affected by PWE treatments.CONCLUSIONS: Our results suggest that PWE inhibits the growth of E. coli BW25113 by affecting nucleic acid metabolism to a great extent. To the best of our knowledge, this is the first study to evaluate the global metabolic response of a bacterium to propolis.PMID:36724215 | DOI:10.1093/jambio/lxac031

PLoS One. 2023 Feb 1;18(2):e0280382. doi: 10.1371/journal.pone.0280382. eCollection 2023.ABSTRACTContaminants of emerging concern pose a serious hazard to aquatic wildlife, especially freshwater mussels. The growing number of contaminants in aquatic systems requires scientists and managers to prioritize contaminants that are most likely to elicit a biological response for further monitoring and toxicological testing. The objectives of this study were to identify a sub-category of contaminants most likely to affect Pyganodon grandis and to describe alterations in metabolites and gene expression between various sites. Mussels were deployed in cages for two weeks at four sites along the Maumee River Basin, Ohio, USA. Water samples were analyzed for the presence of 220 contaminants. Hemolymph samples were collected for metabolomics and analyzed using mass spectrometry. Contaminants that significantly covaried with metabolites were identified using partial least-squares (PLS) regression. Tissue samples were collected for transcriptomics, RNA was sequenced using an Illumina HiSeq 2500, and differential expression analysis was performed on assembled transcripts. Of the 220 targeted contaminants, 69 were detected in at least one water sample. Of the 186 metabolites detected in mussel hemolymph, 43 showed significant differences between the four sites. The PLS model identified 44 contaminants that significantly covaried with changes in metabolites. A total of 296 transcripts were differentially expressed between two or more sites, 107 received BLAST hits, and 52 were annotated and assigned to one or more Gene Ontology domains. Our analyses reveal the contaminants that significantly covaried with changes in metabolites and are most likely to negatively impact freshwater mussel health and contribute to ongoing population declines in this group of highly endangered animals. Our integration of "omics" technologies provides a broad and in-depth assessment of the short-term effects of contaminants on organismal physiology. Our findings highlight which contaminants are most likely to be causing these changes and should be prioritized for more extensive toxicological testing.PMID:36724160 | DOI:10.1371/journal.pone.0280382