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ObjectiveTo investigate the mechanism of Atractylodis Macrocephalae Rhizoma（AMR） in the treatment of slow-transmission constipation（STC） by observing the effects of AMR on short-chain fatty acids and intestinal barries in STC mice. MethodForty-eight male KM mice were randomly divided into blank group， model group， AMR low-， medium-， high-dose groups（2.5， 5， 10 g·kg-1） and mosapride group（2.5 mg·kg-1）. Except for the blank group， all groups were gavaged with loperamide suspension（5 mg·kg-1） twice daily for 14 d to construct the STC mouse model. At the same time， each drug administration group was given the corresponding drug by gavage for consecutive 14 d， the blank and model groups were gavaged with equal volume of distilled water. The effects of the treatment of AMR on body mass， defecation frequency， fecal water content and intestinal propulsion rate of mice were observed， the pathological changes of mouse colon were observed by hematoxylin-eosin（HE） staining and periodic acid-Schiff（PAS） staining， the levels of gastrin（GAS） and motilin（MTL） in serum were detected by enzyme-linked immunosorbent assay（ELISA）， gas chromatography-mass spectrometry（GC-MS） was used to detect the contents of short-chain fatty acids（SCFAs） in mouse feces， real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） and Western blot were used to determine the mRNA and protein expression levels of zonula occludens-1（ZO-1）， Occludin， and Claudin-1 in the colon of mice. ResultCompared with the blank group， the body mass， defecation frequency， fecal water content and intestinal propulsion rate of mice in the model group were significantly decreased（P<0.05， P<0.01）， the arrangement of colonic tissues was disordered， and the number of goblet cells was reduced， the levels of GAS and MTL in serum were significantly decreased（P<0.01）， and the levels of SCFAs in the feces were on a decreasing trend， with the contents of acetic acid， propionic acid， butyric acid， isobutyric acid and valeric acid were significantly decreased（P<0.05， P<0.01）， the mRNA and protein expression levels of ZO-1， Occludin and Claudin-1 in the colonic tissues were significantly decreased（P<0.01）. The above results suggested that STC mouse model was successfully constructed. Compared with the model group， the body mass， defecation frequency， fecal water content and intestinal propulsion rate of mice in AMP administration groups all increased significantly（P<0.05， P<0.01）， the mucosal layer of the colonic tissues was structurally intact without obvious damage， and the number of goblet cells increased， serum levels of GAS and MTL were significantly increased（P<0.01）， the contents of SCFAs in the feces were all on a rising trend， with the contents of acetic， propionic， butyric and isobutyric acids rising significantly（P<0.05， P<0.01）， the mRNA and protein expression levels of ZO-1， Occludin and Claudin-1 in the colonic tissues were significantly increased（P<0.05， P<0.01）. ConclusionAMR is able to improve the constipation symptoms in STC mice， and its mechanism may be related to increasing the contents of SCFAs in the intestine as well as promoting the mRNA and protein expression levels of ZO-1， Occludin and Claudin-1 in the colon.
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Background Volatile organic compounds (VOCs) in exhaled breath are closely associated with respiratory diseases and are linked to various metabolic reactions in the human body. A quantitative analytical method can provide technical support for studying VOCs related to various diseases. Objective To establish a thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS) method for the determination of 27 VOCs in exhaled breath. Methods VOCs in exhaled breath were collected using a Bio-VOC sampler and enriched with Tenax TA thermal desorption tubes before TD-GC-MS analysis. Standards were collected using thermal desorption tubes and optimized for thermal desorption conditions as well as chromatographic and mass spectrometric conditions: The separation of the 27 VOCs was achieved by an optimized temperature program, the improvement of sensitivity by optimizing quantitative ions, and the increase of VOCs desorption efficiency by optimizing thermal desorption time and temperature. Limit of detection, limit of quantification, accuracy, precision, and stability of the proposed method were investigated by spiking with a blank gas bag, and exhaled breath samples from 20 healthy individuals were collected for an application study of the proposed method. Results The thermal desorption temperature was 280 ℃, and desorption time was 6 min. A VF-624ms chromatographic column was selected for the separation of target substances. The initial temperature of heating program was 35 ℃, maintained for 1 min, and then increased to 100 ℃ at a heating rate of 3 ℃·min−1 for 1 min, followed by increasing to 210 ℃ at a heating rate of 28 ℃·min−1 for 5 min. A quantitative analysis was conducted with a single ion monitoring (SIM) mode. Under these conditions, the 27 VOCs showed good linear relationships in their respective concentration ranges and the correlation coefficients were higher than 0.9990. The limits of detection of the method were in the range of 0.01-0.13 nmol·mol−1, the limits of quantification were in the range of 0.02-0.44 nmol·mol−1, and the spiked recoveries were in the range of 80.1%-120.5%, with intra-batch and inter-batch precision ≤ 18.8% and 17.9% respectively. All substances can be stored at room temperature (23-28 °C) for 7 d and at 4 °C for 14 d. The proposed method was applied to exhaled breath samples from 20 subjects with detection rates≥ 80% (except for trans-2-pentene and decane) and a concentration range of 0.00-465.50 nmol·mol−1. Conclusion The established TD-GC-MS method for quantification of VOCs in exhaled breath is characterized by high sensitivity and good accuracy, and is suitable for quantitative determination of VOCs in exhaled breath, which can provide technical support for the study of exhaled breath VOCs.
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ObjectiveTo screen the differential markers by analyzing volatile components in Dalbergia odorifera and its counterfeits， in order to provide reference for authentication of D. odorifera. MethodThe volatile components in D. odorifera and its counterfeits were detected by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the GC conditions were heated by procedure（the initial temperature of the column was 50 ℃， the retention time was 1 min， and then the temperature was raised to 300 ℃ at 10 ℃ for 10 min）， the carrier gas was helium， and the flow rate was 1.0 mL·min-1， the split ratio was 10∶1， and the injection volume was 1 mL. The MS conditions used electron bombardment ionization（EI） with the scanning range of m/z 35-550. The compound species were identified by database matching， the relative content of each component was calculated by the peak area normalization method， and principal component analysis（PCA）， orthogonal partial least squares-discrimination analysis（OPLS-DA） and cluster analysis were performed on the detection results by SIMCA 14.1 software， and the differential components of D. odorifera and its counterfeits were screened out according to the variable importance in the projection（VIP） value>2 and P<0.05. ResultA total of 26， 17， 8， 22， 24 and 7 volatile components were identified from D. odorifera， D. bariensis， D. latifolia， D. benthamii， D. pinnata and D. cochinchinensis， respectively. Among them， there were 11 unique volatile components of D. odorifera， 6 unique volatile components of D. bariensis， 3 unique volatile components of D. latifolia， 6 unique volatile components of D. benthamii， 8 unique volatile components of D. pinnata， 4 unique volatile components of D. cochinchinensis. The PCA results showed that， except for D. latifolia and D. cochinchinensis， which could not be clearly distinguished， D. odorifera and other counterfeits could be distributed in a certain area， respectively. The OPLS-DA results showed that D. odorifera and its five counterfeits were clustered into one group each， indicating significant differences in volatile components between D. odorifera and its counterfeits. Finally， a total of 31 differential markers of volatile components between D. odoriferae and its counterfeits were screened. ConclusionHS-GC-MS combined with SIMCA 14.1 software can systematically elucidate the volatile differential components between D. odorifera and its counterfeits， which is suitable for rapid identification of them.
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ObjectiveTo discriminate the age of Arisaema Cum Bile， the combination of headspace solid-phase microextraction （HS-SPME） with gas chromatography-mass spectrometry （GC-MS） was applied to explore the differences of volatile components of unfermented， 1-year fermented， 2-year fermented， and 3-year fermented Arisaema Cum Bile. MethodSamples with different fermentation durations were collected and HS-SPME-GC-MS technology was employed to detect the volatile components of each sample. The relative contents of detected volatile components were processed and analyzed by chemometrics methods such as principal component analysis （PCA）， hierarchical cluster analysis （HCA）， and partial least squares discriminant analysis （PLS-DA）. ResultThe results showed that 145 volatile components were identified. Among these volatile components， the relative contents of heterocyclic， alcohols， aldehydes and aromatics were high. PCA， HCA， and PLS-DA can effectively separate Arisaema Cum Bile with four different ages. Based on variable importance in projection （VIP） value > 1， 73 markers of differential volatile components were identified. The content of 2，6，11-trimethyldodecane and m-xylene in unfermented samples was the highest， and the content difference between them and those in fermented samples was significant （P<0.05）. 2，3-butanediol was detected only in 1-year samples， octane was detected only in 2-year samples， and ethyl heptanoate was detected only in 3-year samples. These components can be used as odor markers for Arisaema Cum Bile with different fermentation years. ConclusionThe identification method of volatile components of Arisaema Cum Bile was established by HS-SPME-GC-MS technology， which can realize the rapid identification of unfermented， 1-year fermented， 2-year fermented， and 3-year fermented samples， and provide a scientific basis for the standardization of processing technology and quality standards of Arisaema Cum Bile.
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OBJECTIVES@#To establish the GC-MS qualitative and quantitative analysis methods for the synthetic cannabinoids, its main matrix and additives in suspicious electronic cigarette (e-cigarette) oil samples.@*METHODS@#The e-cigarette oil samples were analyzed by GC-MS after diluted with methanol. Synthetic cannabinoids, its main matrix and additives in e-cigarette oil samples were qualitatively analyzed by the characteristic fragment ions and retention time. The synthetic cannabinoids were quantitatively analyzed by using the selective ion monitoring mode.@*RESULTS@#The linear range of each compound in GC-MS quantitative method was 0.025-1 mg/mL, the matrix recovery rate was 94%-103%, the intra-day precision relative standard deviations (RSD) was less than 2.5%, and inter-day precision RSD was less than 4.0%. Five indoles or indazole amide synthetic cannabinoids were detected in 25 e-cigarette samples. The main matrixes of e-cigarette samples were propylene glycol and glycerol. Additives such as N,2,3-trimethyl-2-isopropyl butanamide (WS-23), glycerol triacetate and nicotine were detected in some samples. The content range of synthetic cannabinoids in 25 e-cigarette samples was 0.05%-2.74%.@*CONCLUSIONS@#The GC-MS method for synthesizing cannabinoid, matrix and additive in e-cigarette oil samples has good selectivity, high resolution, low detection limit, and can be used for simultaneous qualitative and quantitative analysis of multiple components; The explored fragment ion fragmentation mechanism of the electron bombardment ion source of indole or indoxamide compounds helps to identify such substances or other compounds with similar structures in cases.
Subject(s)
Gas Chromatography-Mass Spectrometry/methods , Electronic Nicotine Delivery Systems , Illicit Drugs/analysis , Indazoles/chemistry , Glycerol/analysis , Cannabinoids , Indoles/chemistry , IonsABSTRACT
Objective To establish a rapid qualitative analysis method for volatile organic components in chemicals. Methods Headspace gas chromatography-mass spectrometry was used to qualitatively determine 19 volatile organic components, including benzene, 1,2-dichloroethane, and n-hexane, in chemicals. Different sample amounts, heating temperatures, heating times, and sample volumes were analyzed to assess their effects on detection results and optimize sampling conditions. Results Based on the set chromatography, the optimal sampling process of this method was as follows： 5.0 g sample in a 20.0 mL headspace bottle, incubated at 40 ℃ for 30 minutes in a constant-temperature drying incubator, and a 1.00 mL headspace gas injection. The within-run and between-run relative standard deviations of all components ranged from 0.00% to 21.05% and 0.00% to 33.33%, respectively. The samples stored in sealed glass containers were stable at room temperature for at least 60 days. Conclusion This method offers simplicity, good reproducibility, and stability, making it suitable for rapid qualitative analysis of volatile organic components in chemicals.
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ObjectiveTo analyze the fingerprint of six pungent herbs based on the molecular connectivity index（MCI）and the matching frequency total statistical moment method， and to study the division and integration of the "imprinting template" of their volatile components， so as to find the common "imprinting template" characteristics of the pungent herbs. MethodThe volatile components of six pungent herbs were extracted by steam distillation， and their fingerprints were established by gas chromatography-mass spectrometry（GC-MS） with a programmed temperature increase（80 ℃ for 5 min， 5 ℃·min-1 to 200 ℃ for 5 min， 2 ℃·min-1 to 230 ℃ for 10 min）， a splitting ratio of 20∶1， an electron bombardment ion source（EI） and the detection range of m/z 35-650， and the average MCI and total statistical moment parameters of the fingerprints were calculated. Then the matching frequency method was used to classify， integrate and confirm the chromatographic peaks of the fingerprints of six pungent herbs. ResultThe average zero order， first-order and second-order MCI values of the volatile components of Pogostemonis Herba， Artemisiae Argyi Folium， Atractylodis Rhizoma， Asari Radix et Rhizoma， Magnoliae Flos and Schizonepetae Herba were 9.02， 5.28 and 5.05， respectively. The average values of peak number， total zero-order moment， total first-order moment and total second-order moment were 60， 169×107， 22.49 min and 36.82 min2， respectively. The 20 integrated imprinting templates were obtained by the matching frequency method for the six pungent herbs， among which three were common imprinting templates with the retention times of （25.97±0.21），（26.90±0.20），（31.64±1.24） min， respectively， and the representative components were valencene，β-elemene， caryophyllin， etc. ConclusionMCI combined the matching frequency total statistical moment can divide and integrate the characteristics of imprinting templates of six pungent herbs， and find their common chromatographic imprinting characteristics， which can provide a reference for the determination of effective substances of pungent herbs.
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ObjectiveBy comparing the differences in composition and content of volatile components between Atractylodis Macrocephalae Rhizoma（AMR）and bleaching AMR， bran-fried AMR and bran-fried bleaching AMR， the effect of processing with rice-washed water on the volatile components in AMR and bran-fried AMR were investigated. MethodHeadspace gas chromatography-mass spectrometry（HS-GC-MS）was used to determine the volatile components in raw products， bran-fried products and their processed products with rice-washed water. GC conditions were programmed temperature（starting temperature of 50 ℃， rising to 140 ℃ at 10 ℃·min-1， maintained for 5 min， then rising to 210 ℃ at 4 ℃·min-1）， splitting ratio of 10∶1， high purity helium as the carrier gas and a solvent delay time of 3 min. MS conditions were an electron bombardment ion source（EI） with an electron collision energy of 70 eV， ion source temperature of 230 ℃， and the detection range of m/z 20-650. The relative contents of the components were determined by the peak area normalization method， the obtained sample data were subjected to principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） by SIMCA 14.1 software， and the differential components of AMR and bleaching AMR， and bran-fried AMR and bran-fried bleaching AMR were screened according to variable importance in the projection（VIP） value>1 and P<0.05. ResultA total of 71 volatile components were identified， including 53 in AMR， 50 in bleaching AMR， 51 in bran-fried AMR， and 44 in bran-fried bleaching AMR. OPLS-DA results showed that there were significant differences between AMR and bleaching AMR， bran-fried AMR and bran-fried bleaching AMR， but not between AMR samples from different origins. The compound composition of AMR and bleaching AMR， bran-fried AMR and bran-fried bleaching AMR did not change， but the contents of monoterpenes and sesquiterpenes changed significantly. ConclusionSignificant changes in the contents of volatile components were observed in AMR and bleaching AMR， bran-fried AMR and bran-fried bleaching AMR， among them， 1，2-dimethyl-4-methylidenecyclopentene， 9，10-dehydro-isolongifolene， γ-elemene， zingiberene， atractylone， silphinene， modhephene and （1S，4S，4aS）-1-isopropyl-4，7-dimethyl-1，2，3，4，4a，5-hexahydronaphthalene can be used as candidate differential markers of volatile components of AMR before and after processing with rice-washed water.
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@#[Objective] To explore the application of Quality by Design (QbD) tools in assessing geographical variations of Phyllanthus emblica (P. emblica) from five distinct Indian states. [Methods] In the current experiment, the Box-Behnken design with a reduced quartic model and 105 runs was employed with the use of the Design Expert software for randomized response surface mapping. Three different extraction methods (Soxhlet, maceration, and sonication) along with three solventst [distilled water, methanol, and water-methanol mixture (50 : 50 v/v)] were considered in the present study. The anti-oxidant activities, total flavonoid content (TFC), and total phenolic content (TPC) in the P. emblica were determined and analysed by gas chromatography-mass spectrometry (GC-MS) to identify the major components. [Results] The QbD overlay plot showed that the extractive value of the P. emblica was no less than 30% w/w, 2,2-diphenyl-1-picrylhydrazyl (DPPH) no less than 60% mcg/mL (micrograms per millilitre), TFC no less than 75 mg QE/g (milligrams of quercetin equivalents per gram), and TPC no less than 80 mg GAE/g (milligrams of gallic acid equivalents per gram). Moreover, the GC-MS data confirmed the presence of variation in the bioactives of P. emblica extracts. [Conclusion] The model was significant in describing the variation in extractive value, DPPH, TFC, and TPC. The QbD approach may tend to prioritize thoroughness in the extraction process, ultimately resulting in improved quality in the extracted products.
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ObjectiveBy exploring the volatile components， polysaccharide composition and changes in the contents of five carbohydrate components of Polygonatum cyrtonema rhizoma before and after processing， and then the effect of yellow rice wine on the odour formation of P. cyrtonema rhizoma was investigated. MethodThe volatile components of P. cyrtonema rhizoma before and after processing were detected by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and sample data were subjected to principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） using SIMCA 14.1， then the differences between these components of P. cyrtonema rhizoma before and after processing were screened according to the principle of variable importance in the projection（VIP） value>1. Crude carbohydrate components in raw and wine-processed P. cyrtonema rhizoma were subjected to oxime and silylation， the carbohydrate components were analyzed by gas chromatography-mass spectrometry（GC-MS/MS）， and the relative contents of various components were calculated by peak area normalization， then quantitative analysis of four carbohydrate components was also carried out. ResultA total of 23 volatile components were identified from the raw products and the wine-processed products， including 15 components in raw products and 20 components in wine-processed products. Among them， 2-methylbutyraldehyde and isovaleraldehyde had a sweet odor and their contents increased after processing， but the contents of hexanal and caproic acid decreased， new components such as 2-acetylfuran and 5-methylfuranal were produced after processing. PCA and OPLS-DA results showed that there were significant differences between raw products and the wine-processed products， a total of 13 differential compounds were screened out， of which 7 showed an upward trend in relative content and 6 showed a downward trend. A total of 7 carbohydrate components， including 5 monosaccharides and 2 disaccharides， were identified in raw products and the wine-processed products. The results of determination showed that the contents of fructose， glucose， mannose and sucrose in P. cyrtonema rhizoma increased after wine-processing， and their increases were 4.54， 1.51， 2.93， 3.66 times， respectively. ConclusionAfter processing， the increase of aromatic flavor of P. cyrtonema rhizoma may be related to the increase of the contents of aldehydes such as 2-methylbutyraldehyde and isovaleraldehyde， while the decrease of raw flavor may be related to the decrease of the contents of volatile components such as hexanal and hexanoic acid， the increase of sweet flavor may be related to the increase of the contents of monosaccharides and oligosaccharides such as fructose and sucrose.
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ObjectiveTo investigate the key compounds affecting the irritation and to clarify the effect of heating and the addition of ginger juice as the auxiliary material during the processing on the irritation of Magnoliae Officinalis Cortex（MOC） by comparing the irritation and composition of volatile oil in MOC and its different processed products. MethodVolatile oil in raw products， water-processed products， ginger-dried products， ginger-fried products（the amounts of ginger were 10%， 50%， respectively） of MOC were extracted by steam distillation and subjected to rabbit eye irritation experiment， and the volatile components of each sample were detected by gas chromatography-mass spectrometry（GC-MS）. Principal component analysis（PCA）and orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to analyze the data of each sample by SIMCA 14.1. The relative contents of different processed products were compared two by two with those of and raw products or ginger-fried products， and the markers that might be related to the irritation were sorted out according to the principles of variable importance in the projection（VIP） value >1 and P<0.05， and the factors influencing the differences in irritation were analyzed. ResultCompared with the blank group， the administration groups all had irritation to the eyes of rabbits， and the degree of irritation was in the order of raw products>water-processed products>ginger-dried products>ginger-fried products（10%）>ginger-fried products（50%）. The results of PCA and OPLS-DA showed that there were differences in the volatile oil from raw products and different processed products. According to VIP value>1 and P<0.05， and combined with the results of eye irritation experiment， ten volatile compounds related to irritation changes were screened out. Among them， cis-cinnamaldehyde was only detected in raw products， the relative contents of β-caryophyllene， （+）-delta-cadinene， α-humulene， γ-muurolene， （-）-isoledene and citral all increased to different degrees， the contents of p-cymene， 1（10）-4-cadinadien-15-ol and β-eudesmol all decreased to different degrees. ConclusionThe irritation of MOC is reduced after heating and processing with ginger juice， and the synergistic effect of both is more effective for reducing irritation. Among the differential markers associated with changes in irritation， the increase in the relative content of citral is closely related to the addition of ginger juice， while the decrease in the relative contents of cis-cinnamaldehyde， p-cymene， 1（10）-4-cadinadien-15-ol is related to heating， and the changes of other components may be related to the synergistic effect of heating and ginger juice.
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The menace of drug resistant pathogens is increasing and their level of evading conventional antimicrobials is rising. It is therefore important to discover new antimicrobials to counter the current challenges. Our preliminary investigation identified Bacillus subtilis subsp. subtilis 168 isolated from soil sample sourced from a river bank in Abuja, Nigeria, as the most potent antibiotic-producing bacteria among the other identified producers. The current study screened for the antimicrobial activity of the extract and fractions of the isolate by broth microdilution method. The minimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC) and the ratio of the MBC/MIC were determined. All the tested pathogens were susceptible to the ethyl-acetate extract (MIC between 28.70 mg/ml and 57.40 mg/ml). The extract displayed bactericidal activity against all tested pathogens (MBC/MIC between 1.00 and 2.00) while Proteus mirabilis was least susceptible. The extract was purified by vacuum liquid chromatography and the fractions challenged with pathogenic strains. The fraction E was the most potent (MIC between 0.09 mg/ml and 0.75 mg/ml) and also bactericidal against all the test microbes (MBC/MIC between 2.00 and 2.11). GC-MS analysis of the purified sub fraction obtained from fraction E identified 13 compounds with different Retention time and peak areas. Among these were three major compounds which include: (i) bis(2-ethylhexyl) phthalate (ii) 1,4-epoxynaphthalene-1(2H)-methanol, 4,5,7-tris(1,1-dimethylethyl)-3,4-dihydro- (iii) D:B-Friedo-B':A'-neogammacer-5-en-3-ol, (3.beta.)-. Our findings suggest that Bacillus subtilis subsp. subtilis 168 isolated locally could serve as a valuable source of lead compounds for pharmaceutical and biotechnological purposes.
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Background Long-term occupational polycyclic aromatic hydrocarbons (PAHs) exposure is an important risk factor for cognitive impairment. At the same time, it can also cause a decrease of brain-derived neurotrophic factor (BDNF). However, it is not clear whether BDNF plays a key role in the cognitive impairment of workers caused by occupational PAHs exposure. Objective To analyze the correlation between the levels of PAHs in the plasma of coke oven workers and cognitive impairment, and to explore the possible mediating effect of plasma BDNF level on the relationship between PAHs and cognitive impairment. Methods A cross-sectional survey was carried out to select 138 pairs of workers from a coking plant (exposure group) and an energy plant (control group) in a large enterprise in Taiyuan, and the matching variables included age, education level and smoking status. The basic data of the workers were collected by questionnaire. The cognitive function of the workers was assessed by the Montreal Cognitive Assessment (MoCA) scale. Fasting elbow venous blood was collected, the plasma concentrations of 16 PAHs were determined by high performance gas chromatography-mass spectrometry (GC-MS), and the plasma concentration of BDNF was detected by enzyme-linked immunosorbent assay (ELISA). Multiple linear regression model was used to analyze the relationship between 12 PAHs levels in plasma and MoCA scores, and Bootstrap method was used to analyze the mediating effect of BDNF in the relationship between these two indicators. Results The average (\begin{document}$\bar x \pm s $\end{document}) age of workers in the two groups was (48.46±5.04) years, the length of service was (21.45±9.78) years, and 58.7% of the participants reported their education level at secondary vocational school, high school, and above. The median level (25th and 75th percentiles) [M(P25, P75)] of plasma Σ12PAHs concentration of workers in the exposure group [20.937 (9.454, 38.387) μg·L−1] was significantly higher than that of the control group [9.997 (4.952, 23.770)μg·L−1] and the MoCA score (22.82±2.38) of the exposure group was significantly lower than that of the control group (24.60±5.67) (P<0.05). The plasma BDNF showed no significant difference between the exposure group [(29.99±9.80) μg·L−1] and the control group [(31.48±9.09) μg·L−1](P>0.05). Taking plasma PAHs as independent variable and MoCA score as dependent variable, after adjusting selected covariates, the results of multiple linear regression model showed that the MoCA score changed by −0.020 (95%CI: −0.035 - −0.005) for every 1 μg·L−1 increase of plasma Σ12PAHs. Low (<P33), medium ( P33~P66) and high (>P66) dummy variables were set according to the intertertile boundaries (8.31, 23.76) μg·L−1 of the plasma level of Σ12PAH of the workers. The change of MoCA score in the high concentration group versus the low concentration group was −1.167 (95%CI: −1.866 - −0.467). The MoCA score changed by 0.066 (95%CI: 0.012 - 0.119) for each 1 μg·L−1 increase in plasma BDNF level. The results of dichotomous logistic regression analysis showed that the risk of cognitive impairment in the high concentration group was 2.635 (95% CI: 1.085 - 6.398) times higher than that in the low concentration group. The results of mediating effect analysis showed that plasma BDNF level was an intermediate variable between PAHs and cognitive impairment, and 45.50% of PAHs-induced cognitive impairment risk was mediated by reduced BDNF level. Conclusion The level of plasma PAHs in coke oven workers is negatively correlated with MoCA score, and PAHs may mediate cognitive impairment by reducing plasma BDNF level.
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Objective: To explore the metabolite profile and metabolic pathways of newly diagnosed multiple myeloma (MM). Methods: Gas chromatography-mass spectrometry (GC-MS) was employed for the high-throughput detection and identification of serum samples from 55 patients with MM and 37 healthy controls matched for age and sex from 2016 to 2017 collected at the First Affiliated Hospital of Soochow University. The relative standard deviation (RSD) of quality control (QC) samples was employed to validate the reproducibility of GC-MS approach. The differential metabolites between patients with MM and healthy controls were detected by partial least squares discrimination analysis (PLS-DA), and t-test with false discovery rate (FDR) correction. Metabolomics pathway analysis (MetPA) was employed to construct metabolic pathways. Results: There were 55 MM patients, including 34 males and 21 females. The median age was 60 years old (42-73 years old). There were 30 cases of IgG type, 9 cases of IgA type, 1 case of IgM type, 2 cases of non-secreted type, 1 case of double clone type and 12 cases of light chain type, including 3 cases of kappa light chain type and 9 cases of lambda light chain type. The result of QC sample test showed that the proportion of compounds with the RSD of the relative content of metabolites < 15% was 70.21% obtained by the reproducibility of GC-MS experimental data, which implied that the experimental data were reliable. A total of 17 metabolites were screened differently with the healthy control group, including myristic acid, hydroxyproline, cysteine, palmitic acid, L-leucine, stearic acid, methionine, phenylalanine, glycerin, serine, isoleucine, tyrosine, valine, citric acid, inositol, threonine, and oxalic acid (VIP>1, P<0.05). Metabolic pathway analysis suggested that metabolic disorders in MM patients comprised mainly phenylalanine metabolism, glyoxylic acid and dicarboxylic acid metabolism, phosphoinositide metabolism, cysteine and methionine metabolism, glycerolipid metabolism, glycine, serine, and threonine metabolism. Conclusion: Compared with normal people, patients with newly diagnosed MM have obvious differences in metabolic profiles and metabolic pathways.
Subject(s)
Male , Female , Humans , Middle Aged , Adult , Aged , Cysteine , Multiple Myeloma/diagnosis , Reproducibility of Results , Metabolome , Metabolomics/methods , Metabolic Networks and Pathways , Methionine , Serine , Phenylalanine , Threonine , BiomarkersABSTRACT
ObjectiveBy comparing the difference of volatile components of the decoction pieces before and after being processed by braising method of Jianchangbang and steaming method included in the 2020 edition of Chinese Pharmacopoeia， the influence of processing methods on the flavor formation of Polygoni Multiflori Radix （PMR） was compared. MethodHeadspace-gas chromatography-mass spectrometry （HS-GC-MS） was used to detect the volatile components of 30 batches of PMR samples from 3 origins with 3 processing methods. The GC was performed under programmed temperature （starting temperature of 40 ℃， rising to 150 ℃ at 5 ℃·min-1， and then rising to 195 ℃ at 10 ℃·min-1） with high purity helium as carrier gas and the split ratio of 10∶1. Mass spectrometry conditions were electron impact ion source （EI） and the detection range of m/z 50-650， the peak area normalization method was used to calculate the relative mass fraction of each component. The chromaticity values of different processed products were measured by a precision colorimeter， the relationship between chromaticity values and relative contents of volatile components was investigated by OriginPro 2021， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed on the sample data by SIMCA14.1. The differential components of different processed products of PMR were screened according to the principle of variable importance in the projection （VIP） value>1.5， and the material basis of different odor formation of PMR and its processed products was explored. ResultA total of 59 volatile components were identified， among which 34 were raw products， 33 were braised products， and 27 were steamed products. PCA and OPLS-DA results showed that there were significant differences between the three， but there was no significant difference between samples from different origins of the same processing method. Color parameters of a*， b*， E*ab had no significant correlation with contents of volatile components， while L* was negatively correlated with contents of 2-methyl-2-butenal， 2-methyltetrahydrofuran-3-one and 2，3-dihydro-3，5-dihydroxy-6-methyl-4（H）-pyran-4-one （P<0.05）. The contents of pungent odor components such as caproic acid， nonanoic acid and synthetic camphor decreased after processing， while the contents of sweet flavor components such as 2-methyl-2-butenal， furfural and 5-hydroxymethylfurfural increased after processing， and the contents of furfural， 5-methyl-2-furanmethanol， 5-hydroxymethylfurfural and other aroma components in the braised products were significantly higher than that in the steamed products. ConclusionHS-GC-MS can quickly identify the volatile substance basis that causes the different odors of PMR and its processed products. The effect of processing methods on the odor is greater than that of origin. There is a significant correlation between the color parameter of L* and contents of volatile components， the "raw" taste of PMR may be related to volatile components such as caproic acid， pelargonic acid and synthetic camphor， the "flavor" after processing may be related to the increase of the contents of 2-methyl-2-butenal， furfural， 5-hydroxymethylfurfural， methyl maltol and furfuryl alcohol.
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ObjectiveOn the basis of sensory evaluation， the changes of volatile components in gecko before and after processing were compared， and the odor correction effect of different processing methods of gecko was discussed. MethodRaw products， fried yellow products， vinegar processed products， wine processed products， talcum powder scalding products and white wine sprayed products after scalding talcum powder of gecko were prepared， and 10 odor assessors were invited to evaluate the 6 samples in turn by sensory evaluation. Headspace solid-phase microextraction-gas chromatography-mass spectrometry （HS-SPME-GC-MS） and relative odor activity value （ROAV） were used to analyze the key odor components， and multivariate statistical methods were used to analyze the difference of volatile components between raw and processed products of gecko. Taking water-soluble extract and protein contents as internal indicators， sensory evaluation score and content ranking of differential components as external indicators， and assigning a weight of 0.25 to them respectively， the comprehensive scores of raw products and processed products of gecko were calculated to evaluate the odor correction effect of each processing method. ResultThe average sensory evaluation scores of the raw products， fried yellow products， vinegar processed products， wine processed products， talcum powder scalding products and white wine sprayed products after scalding talcum powder of gecko were 1.6， 5.2， 6.2， 6.1， 7.2 and 8.0， respectively. ROAV results showed that key components affecting odor of gecko were 2-ethyl-3，5-dimethylpyrazine， isovaleraldehyde， trimethylamine， 1-octen-3-ol， n-octanal， nonanal， 2-methylnaphthalene， γ-octanolide， 2-heptanone and phenol. Principal component analysis （PCA） significantly distinguished raw products from processed products. Orthogonal partial least squares-discriminant analysis （OPLS-DA） results showed that there were 16， 13， 16， 16， 16 differential components between raw products， fried yellow products， vinegar processed products， wine processed products， talcum powder scalding products and white wine sprayed products after scalding talcum powder of gecko. Among these differential components， there were 4 common components， namely， the contents of different odor components （2-methylnaphthalene and 2-ethyl-p-xylene） decreased， while the contents of different flavor components （2-decanone and 2，3，5-trimethylpyrazine） increased. The comprehensive scoring results showed that the odor correction effect of each processed products was in the order of talcum powder scalding products>wine processed products>vinegar processed products>fried yellow products>white wine sprayed products after scalding talcum powder. ConclusionTalcum powder scalding is a better method to improve the odor of gecko， and it can provide an experimental basis for the processing of gecko to correct the odor.
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ObjectiveTo study the composition of volatile oil in Opisthopappus taihangensis （Taihangju）， and provide a reference for comprehensive development of this medicine. MethodTaking Chrysanthemum morifolium （Xiaobaiju）， C. morifolium （Xiaohuangju） and C. indicum （Yejuhua） as control， the qualitative and quantitative analysis of volatile oil in Taihangju and three control varieties were completed by gas chromatography-mass spectrometry （GC-MS） combined with retention index method. The GC conditions were as following：programmed temperature （initial temperature at 60 ℃， kept for 2 min； up to 120 ℃ with the heating rate of 5 ℃·min-1， still kept for 2 min； up to 180 ℃ with the heating rate of 2 ℃·min-1， kept for 3 min； and then up to 240 ℃ with the heating rate of 8 ℃·min-1， kept for 5 min； finally up to 280 ℃ with the heating rate of 10 ℃·min-1， kept it for 5 min and finished）， high-purity helium as the carrier gas， the split ratio of 50∶1. MS conditions were as follows：electron impact ion source （EI）， ion source temperature of 230 ℃， electron collision energy of 70 eV and scanning range of m/z 30-445. Principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were used to obtain the characteristic components between Taihangju and the three control varieties. ResultA total of 86， 96， 112 and 109 compounds including 73 common components were identified in Taihangju， Xiaobaiju， Xiaohuangju and Yejuhua， respectively. The contents of volatile components in Taihangju were significantly different from that of the control varieties. In which， the relative contents of α-thujone， eucalyptol and terpinen-4-ol were high in Taihangju， and eucalyptol， camphor and α-terpinyl acetate were the main compositions in the control varieties. In addition， 11 compounds were screened as characteristic components to distinguish Taihangju and the three control varieties by PCA and OPLS-DA， including main differential components of chamazulene and δ-cadinene. ConclusionThe main components of volatile oil in Taihangju includes alcohols， terpenes， ketones and esters with high medicinal value. The accuracy of qualitative analysis of volatile oil is improved by GC-MS combined with retention index method， which provides scientific reference for development and utilization of Taihangju.
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ObjectiveTaking Chuanxiong Chatiaosan prescription as the carrier， by comparing the differences of volatile components in Chuanxiong Rhizoma with single decoction pieces and compatible prescription of different decoction pieces， the differences of material basic connotation of different formulations of Chuanxiong Chatiaosan were revealed from the aspects of processing （raw and wine-processed products）， compound compatibility and dosage form （powder and decoction）. MethodThe volatile oil was extracted from different decoction pieces of Chuanxiong Rhizoma， Chuanxiong Chatiaosan and its decoction with different decoction pieces of Chuanxiong Rhizoma by steam distillation， the main components and their relative contents were identified by gas chromatography-mass spectrometry （GC-MS）. ResultA total of 25 volatile components were identified from different processed products of Chuanxiong Rhizoma， including 11 monoterpenoids， 4 phenols， 3 sesquiterpenoids， 3 phthalides， 2 ketones and 2 olefins， the contents of α-pinene， β-pinene， 3-butylphthalide and others increased after the raw products was processed with wine. A total of 85 constituents were identified from Chuanxiong Chatiaosan with different decoction pieces， including 31 monoterpenoids， 23 sesquiterpenoids， 5 alcohols， 5 aldehydes， 4 phenols， 4 phthalides， 3 ethers， 3 ketones， 1 olefin， 1 organic acid， 2 esters and 3 other compounds. A total of 22 components， including 9 sesquiterpenoids， 3 phthalides， 2 phenols， 6 monoterpenoids， 1 aldehyde and 1 alkane， were identified from the decoction of Chuanxiong Chatiaosan with different processed products. ConclusionThere was no significant difference in the composition between raw products and wine-processed products of Chuanxiong Rhizoma either in single decoction pieces or in compatibility prescription， but the relative content changed to some extent， and the wine-processed products was the most obvious. There was a great difference in the composition of volatile components between the Chuanxiong Chatiaosan and its decoction. The volatile components， such as isopulegol， isocalamendiol and safrole， were not found in the decoction. Components in Chuanxiong Rhizoma processed with wine will change with the addition of yellow rice wine， and volatile components can reflect the difference between decoction pieces and prescriptions of the wine-processed products.
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ObjectiveTo investigate the metabolites and gene expression characteristics in fibrous roots of Dioscorea zingiberensis in response to low phosphorus stress. MethodThe severe stress group， the moderate stress group， and the normal group were set up to stimulate the low phosphorus stress experiment. The fibrous roots of D. zingiberensis were collected during initial stress. The metabolites and transcriptomic characteristics were analyzed by gas chromatography-mass spectrometry （GC-MS） derivatization and RNA-seq techniques. Through multivariate statistical analysis of metabolites treated by different methods，functional analysis of differentially expressed genes， and data mining， the metabolism markers produced in fibrous roots of D. zingiberensis under low phosphorus stress were screened out， and the metabolic pathway characteristics of different genes were analyzed. ResultA total of 116 GC-MS metabolites were detected from the fibrous roots of D. zingiberensis. The metabolic characteristics of fibrous roots of D. zingiberensis under different low phosphorus treatments were obviously different. Orthogonal partial least squares discriminant analysis（OPLS-DA） model was used to screen six differential metabolites represented by sugars and alcohols from metabolites of fibrous roots treated with different methods，and these components were presumedly metabolism markers of fibrous roots of D. zingiberensis in response to low phosphorus stress. The differential genes screened out from the severe stress group and the normal group were mainly enriched in peroxidase pathway，phosphate and hypophosphate metabolism pathway，while the differential genes screened out from the severe stress group and the moderate stress group were mainly enriched in glutathione metabolism pathway and phosphopentose pathway. A total of 177 differential genes in response to low phosphorus stress were screened out from fibrous roots， involving many pathways such as terpenoid skeleton and inositol biosynthesis，which was consistent with the fact that the metabolic differential components in fibrous roots in response to low phosphorus stress were mainly saccharides and inositol. ConclusionThe metabolites and gene expression in fibrous roots of D. zingiberensis responded to low phosphorus stress，and the differential metabolites were closely related to differentially expressed genes. This study is expected to provide a theoretical basis for the research on the molecular mechanism of D. zingiberensis in response to low phosphorus stress.
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ObjectiveMetabolic syndrome is the inherent phenotype of many diseases， which seriously endangers the cardio-cerebrovascular system. Prunellae Spica can regulate lipid metabolism disorder in high-fat mice and inhibit the metabolic disorder of liver injury. This study analyzed the effect of Prunellae Spica on metabolic syndrome and its mechanism， and it is of great significance to find potential safe drugs from natural products. MethodIn this study， the metabolic syndrome model was induced by fructose. The metabolomics method based on gas chromatography-mass spectrometry （GC-MS） was used to explore the effect and mechanism of Prunellae Spica on rats with metabolic syndrome. ResultPharmacological results showed that Prunellae Spica significantly reduced the body weight， blood lipid level and lipid peroxidation level and inhibited the release of tumor necrosis factor-α （TNF-α） in rats with metabolic syndrome. Thus， Prunellae Spica protected the liver and maintained its normal functions. Multivariate statistical analysis revealed that metabolites in the serum of rats with metabolic syndrome changed significantly， which was improved after Prunellae Spica treatment. Compared with the metabolites in normal group， 11 differential metabolic markers were found in rats with metabolic syndrome. Compared with model group， Prunellae Spica group had 8 significantly different metabolic markers， among which phosphate， pyruvic acid and succinic acid were common markers. Pathway analysis indicated that the regulatory effect of Prunellae Spica was mainly related to citrate cycle， glycolysis and gluconeogenesis， serine/threonine and glycine metabolic pathways. ConclusionPrunellae Spica can be used as a potential natural source for the treatment of metabolic syndrome. It can regulate the metabolic disorder in metabolic syndrome via energy and amino acid metabolism.