Metabolomics Strategy Research Articles

Chromatography-Based Metabolomics as a Tool in Bioorganic Research of Honey

This review presents the latest research on chromatography-based metabolomics for bioorganic research of honey, considering targeted, suspect, and untargeted metabolomics involving metabolite profiling and metabolite fingerprinting. These approaches give an insight into the metabolic diversity of different honey varieties and reveal different classes of organic compounds in the metabolic profiles, among which, key metabolites such as biomarkers and bioactive compounds can be highlighted. Chromatography-based metabolomics strategies have significantly impacted different aspects of bioorganic research, including primary areas such as botanical origins, honey origin traceability, entomological origins, and honey maturity. Through the use of different tools for complex data analysis, these strategies contribute to the detection, assessment, and/or correlation of different honey parameters and attributes. Bioorganic research is mainly focused on phytochemicals and their transformation, but the chemical changes that can occur during the different stages of honey formation remain a challenge. Furthermore, the latest user- and environmentally friendly sample preparation methods and technologies as well as future perspectives and the role of chromatography-based metabolomic strategies in honey characterization are discussed. The objective of this review is to summarize the latest metabolomics strategies contributing to bioorganic research onf honey, with emphasis on the (i) metabolite analysis by gas and liquid chromatography techniques; (ii) key metabolites in the obtained metabolic profiles; (iii) formation and accumulation of biogenic volatile and non-volatile markers; (iv) sample preparation procedures; (v) data analysis, including software and databases; and (vi) conclusions and future perspectives. For the present review, the literature search strategy was based on the PRISMA guidelines and focused on studies published between 2019 and 2024. This review outlines the importance of metabolomics strategies for potential innovations in characterizing honey and unlocking its full bioorganic potential.

Potential mechanism of Laportea bulbifera on treating inflammation and tumor via metabolomics, network pharmacology and molecular docking

This study aimed to utilize metabolomics, network pharmacology, and molecular docking techniques to identify the major active components of Laportea bulbifera and investigate their anti-inflammatory and potential anti-tumor mechanisms. The metabolic constituents of L. bulbifera were examined utilizing UPLC-ESI-MS/MS. PPI networks and compound-target-pathway networks were established using resources such as TCMSP, Swiss Target Prediction, DAVID, STRING database, and Cytoscape software. Molecular docking analysis of the most important compounds and targets was conducted using Autodock4, followed by validation of the molecular docking results’ stability using GROMACS. The UPLC–ESI–MS/MS analysis identified a total of 798 compounds. A network pharmacology-based analysis was conducted, revealing that eight compounds and four molecular targets—namely, TNF, IL6, PIK3CA, and HDAC1—were enriched in the network. Pathway analysis of the identified targets demonstrated enrichment in 217 KEGG pathways. Molecular docking analysis and molecular dynamics simulations demonstrated strong therapeutic potential of N-feruloyltyramine, N-feruloylagmatine, and Ellagic acid against various inflammatory and tumor diseases. This study, for the first time, employed an integrated strategy of metabolomics, network pharmacology, molecular docking, and molecular dynamics, elucidating the mechanisms underlying the anti-inflammatory and potential anti-tumor effects of L. bulbifera, laying the foundation for subsequent drug development endeavors.

Protective Effect of Modified Suanmei-Tang on Metabolic-Associated Fatty Liver Disease: An Integrated Strategy of Network Pharmacology, Metabolomics, and Transcriptomics

Protective Effect of Modified Suanmei-Tang on Metabolic-Associated Fatty Liver Disease: An Integrated Strategy of Network Pharmacology, Metabolomics, and Transcriptomics

Heat exposure promotes sarcopenia via gut microbiota-derived metabolites.

The unprecedented rise in global ambient temperatures in the last decade has significantly impacted human health, yet how heat exposure affects the development of sarcopenia remains enigmatic. Here, we demonstrate that chronic heat exposure induces skeletal muscle volume loss, leading to muscle strength and functional decline in mice. The microbiota composition of heat-exposed mice was analyzed using 16S ribosomal DNA analysis. Liquid chromatography-mass spectrometry (LC-MS) was used to explore the effects of heat exposure on the blood metabolome and to further analyze the correlation between blood metabolism and gut microbiota. Transplantation of microbiota from heat-exposed mice to germ-free mice was sufficient to increase adverse effects on skeletal muscle function in the host. Mechanistically, using an untargeted metabolomics strategy, we reveal that altered gut microbiota due to high temperatures is associated with elevated serum levels of homocitrulline. Homocitrulline causes mitochondrial dysfunction in myocytes by exacerbating ferroptosis levels. And Nrf2 activator (Oltipraz) supplementation alleviates muscle atrophy and dysfunction induced by heat exposure. Our findings reveal the detrimental effects of heat exposure on muscle function and provide new strategies for treating sarcopenia.

Metabolomic reprogramming of subcutaneous adipose tissue aggravates atherosclerosis via impaired adipocyte-macrophage crosstalk

Abstract Object: The bidirectional relationship between cardiometabolic syndrome and dysfunctional adipose tissue has received increasing attention. However, the metabolic alteration of subcutaneous adipose tissue during atherosclerosis has been overlooked. Methods In this study, we aimed to investigate the relationship between subcutaneous adipose tissue and atherosclerosis based on a combination strategy of single-cell sequencing and metabolomics in atherosclerotic mice and humans. Result Through our analysis of the clinical cohort with atherosclerosis, we discovered a correlation between the volume of subcutaneous adipose tissue and the characteristics of coronary plaques. Furthermore, by employing the snRNA-seq approach, we identified the metabolic landscape and cellular crosstalk within the subcutaneous adipose tissue of atherosclerotic mice. Lastly, through our analysis of the metabolic features in human adipose tissue, we successfully validated the Insulin-like Growth Factor 1 pathway as a crucial modulator in the adipocyte-macrophage crosstalk during the development of atherosclerosis. Conclusion The present study has provided further evidence that dysregulated metabolism of subcutaneous adipose tissue is involved in the development and progression of atherosclerosis, not only in humans but also in animal models.

Integrated network pharmacology, metabolomics and molecular docking analysis to reveal the mechanisms of quercetin in the treatment of hyperlipidemia

Hyperlipidemia (HLP) is a significant contributor to cardiovascular diseases. Quercetin (QUE), a naturally occurring flavonoid with diverse bioactivities, has garnered attention due to its potential therapeutic effects. However, the precise mechanisms underlying the effects of QUE on HLP remain unclear. In this study, an ultra-high-performance liquid chromatography-quadrupole/electrostatic field Orbitrap high-resolution mass spectrometry (UPLC-Q-Exactive-MS) metabolomics strategy was employed to obtain metabolite profiles, and potential biomarkers were identified following data analysis. Network pharmacology and Drug Affinity Responsive Target Stability (DARTS) assays were utilized to explore the potential targets of QUE for HLP treatment. The results of metabolomics and network pharmacology were then integrated to identify the key targets and metabolic pathways involved in the therapeutic action of the QUE against HLP. Molecular docking and experimental validation were performed to confirm these key targets. A comprehensive database search identified 138 QUE-HLP-related targets. A protein-protein interaction (PPI) network was constructed using STRING, and the shared targets were filtered with Cytoscape. Among these, AKT1, TNF, VEGFA, mTOR, SREBP1, and SCD emerged as potential therapeutic targets. These findings were validated using in vitro cell experiments. Additionally, the mechanism of action of QUE against HLP was evaluated by integrating network pharmacology with metabolomics, identifying two metabolomic pathways crucial to HLP treatment. DARTS experiments confirmed the stable binding of QUE to FASN, p-mTOR, SREBP1, and p-AKT. In HepG2 cells treated with palmitic acid (PA), QUE significantly reduced the mRNA expression of ACLY, ACACA, FASN, and SCD (p < 0.05). Western blot analysis revealed that PA significantly increased protein expression of p-mTOR, SREBP1, FASN, and p-AKT (p < 0.05). In summary, our study provides novel insights into the protective mechanisms of QUE against HLP and offers valuable information regarding its potential benefits in clinical treatment.

A rapid diagnostic technique based on metabolomics to differentiate between preeclampsia (PE) and chronic kidney disease (CKD) using maternal urine

Similar clinical manifestations between preeclampsia and chronic kidney diseases can lead to potential misdiagnosis. Therefore, it is crucial to investigate effective diagnostic approaches that can reduce misdiagnosis and ensure the well-being of pregnant women. In this study, urine samples collected from 44 individuals with preeclampsia, 37 individuals with chronic kidney disease, and 37 healthy pregnant women were analyzed using metabolomic and proteomic strategies to distinguish between these two diseases. A total of 15 small molecules were tentatively identified as biomarkers to differentiate these two diseases, including potential internally exposed drugs and their metabolites like labetalol and SN-38, metabolites of exogenous substances like 3-phenylpropyl glucosinolate, and endogenous substances related to metabolism such as isoglobotriaose and chitobiose. Metabolic differences between preeclampsia from healthy pregnant women, as well as the differences between chronic kidney disease and healthy pregnant women were also investigated. Major mechanistic pathways were investigated based on the combination of metabolomic and proteomic, amino acid metabolisms and folate metabolism play key roles in distinguishing preeclampsia and chronic kidney disease. Two patients who were initially diagnosed with chronic kidney disease were found to have a closer association with preeclampsia following metabolomic analysis. Subsequent clinical symptoms and manifestations further supported the diagnosis of preeclampsia, and one of patient's pregnancy was ultimately terminated due to severe preeclampsia. Results of this study contribute to a better understanding of the pathogenesis and clinical diagnosis of preeclampsia, offering insights that could potentially improve future diagnostic and management approaches.

Soybean Extract Ameliorates Lung Injury induced by Uranium Inhalation: An integrated strategy of network pharmacology, metabolomics, and transcriptomics

AimThis study aimed to evaluate the protective effect of soybean extract (SE) against uranium-induced lung injury in rats. Materials and methodsA rat lung injury model was established through nebulized inhalation of uranyl nitrate. Pretreatment with SE or sterile water (control group) by gavage for seven days before uranium exposure and until the experiment endpoints. The levels of uranium in lung tissues were detected by ICP-MS. Paraffin embedding-based hematoxylin & eosin staining and Masson’s staining for the lung tissue were performed to observe the histopathological imaging features. A public database was utilized to analyze the network pharmacological association between SE and lung injury. The expression levels of proteins indicating fibrosis were measured by enzyme-linked immunosorbent assay. RNA-seq transcriptomic and LC-MS/MS targeted metabolomics were conducted in lung tissues. ResultsUranium levels in the lung tissues were lower in SE-pretreated rats than in the uranium-treated group. Inflammatory cell infiltration and the deposition of extracellular matrix were attenuated, and the levels of alpha-smooth muscle actin, transforming growth factor beta1, and hydroxyproline decreased in SE-pretreated rats compared to the uranium-treated group. Active ingredients of SE were related to inflammation, oxidative stress, and drug metabolism. A total of 67 differentially expressed genes and 39 differential metabolites were identified in the SE-pretreated group compared to the uranium-treated group, focusing on the drug metabolism-cytochrome P450, glutathione metabolism, IL-17 signaling pathway, complement, and coagulation cascades. ConclusionsThese findings suggest that SE may ameliorate uranium-induced pulmonary inflammation and fibrosis by regulating glutathione metabolism, chronic inflammation, and immune regulation.

Natural High Strontium Mineral Water Might Reduce Liver Protein Synthesis: A Non-Targeted Metabolomics Study in Rats.

Strontium-rich mineral water (strontium > 0.20mg/L) is the second largest type of mineral water on commercial drinking water market. Exposure to high levels of strontium through drinking water or soil may interfere with calcium metabolism and increase the risk of cardiovascular and skeletal diseases, but no in-depth mechanism has been disclosed to date. Data on liver metabolic alterations in rats resulted from drinking natural high strontium mineral water (strontium 26.06mg/L, SrHW) or tap water (filtered by activated carbon, strontium 0.49mg/L, TW) for 3months were obtained and analyzed with non-targeted metabolomics strategy. Compared with rats drinking TW, those drinking SrHW showed a significant change in 36 liver metabolites. Among them, 33 liver metabolites (including 14 amino acids, 6 carbohydrates, 4 short-chain fatty acids, 4 organic acids, 2 phenylpropanoic acids, 1 fatty acid, 1 peptide, and 1 bile acid) were down-regulated, and 3 (hydroxyphenyllactic acid, propionylcarnitine and S-adenosine homocysteine) were up-regulated. Metabolic pathway analysis showed that aminoacyl-tRNA biosynthesis, valine, leucine and isoleucine biosynthesis, and alanine, aspartate and glutamate metabolism are most impacted. Furthermore, the serum prealbumin content also significantly decreased in rats drinking SrHW. Therefore, changes in liver metabolites and serum protein levels suggested that high concentration of strontium in water was associated with decreased liver protein synthesis; changes in liver metabolites suggested that high strontium was associated with decreased lipid levels. In conclusion, high strontium in water may exert a negative effect on protein synthesis, and further study on the dose-response relationship is necessary.

Revealing the sterilization impact on paprika fingerprint: Key markers identified using untargeted metabolomics by liquid chromatography-Orbitrap high-resolution mass spectrometry

Paprika (Capsicum annuum L.) is a popular spice known for its unique properties. Spices are susceptible to microbiological risks arising from harvest factors such as high moisture or environmental contamination. To ensure microbiological safety, post-harvest processing based on heat sterilization, free of chemicals and radiation, is becoming essential in the European market. This study introduces a novel metabolomics approach using ultra-high performance liquid chromatography (UHPLC) coupled with quadrupole-Orbitrap-high-resolution mass spectrometry (HRMS) to assess the sterilization impact on paprika's metabolomic composition. Sterilized and untreated samples were distinguished by OPLS-DA, achieving perfect predictability with high-quality parameters (R2Y = 0.988, Q2 = 0.904). The methodology identified 19 key markers, including fatty acids, amino acids, etc. Sterilization reduced fatty acids such as linoleic acid but increased other metabolites such as DL-malic acid and flazin. This research introduces new metabolomics strategies to ensure paprika quality and other valuable spices, focusing on unexplored sterilization processes.

Metabolomics, phytohormone and transcriptomics strategies to reveal the mechanism of barley heading date regulation to responds different photoperiod

BackgroundThe correlation between heading date and flowering time significantly regulates grain filling and seed formation in barley and other crops, ultimately determining crop productivity. In this study, the transcriptome, hormone content detection, and metabolome analysis were performed systematically to analyze the regulatory mechanism of heading time in highland barley under different light conditions. The heading date of D18 (winter highland barley variety, Dongqing18) was later than that of K13 (vernal highland barley variety) under normal growth conditions or long-day (LD) treatment, while this situation will reverse with short-day (SD) treatment.ResultsThe circadian rhythm plant, plant hormone signaling transduction, starch and sucrose metabolism, and photosynthesis-related pathways are significantly enriched in barley under SD and LD to influence heading time. In the plant circadian rhythm pathway, the key genes GI (Gigantea), PRR (Pesudoresponseregulator), FKF1 (Flavin-binding kelch pepeat F-Box 1), and FT (Flowering locus T) are identified as highly expressed in D18SD3 and K13SD2, while they are significantly down-regulated in K13SD3. These genes play an important role in regulating the heading date of D18 earlier than that of K13 under SD conditions. In photosynthesis-related pathways, a-b binding protein and RBS were highly expressed in K13LD3, while NADP-dependent malic enzyme, phosphoenolpyruvate carboxylase, fructose-bisphosphate aldolase, and triosephosphate isomerase were significantly expressed in D18SD3. In the starch and sucrose metabolism pathway, 41 DEGs (differentially expressed genes) and related metabolites were identified as highly expressed and accumulated in D18SD3. The DEGs SAUR (Small auxin-up RNA), ARF (Auxin response factor), TIR1 (Transport inhibitor response 1), EIN3 (Ethylene-insensitive 3), ERS1 (Ethylene receptor gene), and JAZ1 (Jasmonate ZIM-domain) in the plant hormone pathway were significantly up-regulated in D18SD3. Compared with D18LD3, the content of N6-isopentenyladenine, indole-3-carboxylic acid, 1-aminocyclopropanecarboxylic acid, trans-zeatin, indole-3-carboxaldehyde, 1-O-indol-3-ylacetylglucose, and salicylic acid in D18SD3 also increased. The expression levels of vernalization genes (HvVRN1, HvVRN2, and HvVRN3), photoperiod genes (PPD), and PPDK (Pyruvate phosphate dikinase) that affect photosynthetic efficiency in barley are also analyzed, which play important regulatory roles in barley heading date. The WGCNA analysis of the metabolome data and circadian regulatory genes identified the key metabolites and candidate genes to regulate the heading time of barley in response to the photoperiod.ConclusionThese studies will provide a reference for the regulation mechanism of flowering and the heading date of highland barley.

PSIV-24 Evaluation of different colostrum feeding volumes on serum immunoglobulin G concentration and metabolic profiles of calves in high altitude area

Abstract Qinghai-Tibet Plateau is the highest plateau in the world, reputed as “the roof of the world” and “the world’s third pole”. Its ecological environment is characterized by low atmospheric oxygen pressure, cold, and limited feed supplies. This study aimed to investigate the serum immunoglobulin G (IgG) concentration and metabolic profiles of calves in high altitude area (3,650 m) fed different volumes of colostrum [8, 12, or 15% of birth body weight (BW)] using untargeted metabolomics strategies. Neonatal Holstein hybrid heifer calves (n = 44) were randomly divided into 1 of the 3 colostrum feeding amounts: 8% of birth BW (Low volume, L), 12% of birth BW (Middle volume, M), and 15% of birth BW (High volume, H) in colostrum. To safeguard the efficiency of colostrum intake, the colostrum was fed to calves within 0.5 h and 6 h after birth. The serum samples at 24 h after birth were collected for IgG concentration determination by indirect enzyme-linked immunosorbent assay (ELISA) and for LC-MS/MS metabonomic analysis. As the volumes of colostrum increased, there was a linearly increased in the serum IgG concentration (P &amp;lt; 0.01). Differential metabolites were selected according to the following 3 conditions: minimum fold change (FC) &amp;gt; 2, P-value &amp;lt; 0.01 in single-dimensional statistical analysis, and variable importance in projection (VIP) &amp;gt; 1 in the OPLS-DA model. Multivariate statistical analyses were performed to visualize differences among groups. Based on the screening criteria, a total of 3 differential metabolites (22 alpha-Hydroxy-campesterol, N-Myristoyl Histidine, and Calcitetrol) were detected between L and M, of which all differential metabolites were down-regulated. Six differential metabolites were detected between M and H, of which PC[P-18:1(11Z)/18:1(12Z)-2OH(9,10)] was up-regulated and 5 differential metabolites including 1-arachidonoyl-2-hydroxy-sn-glycero-3-phosphate, propanoyl phosphate, ascorbic acid 6-palmitate, 20-hydroxyecdysone, and 6’’’-deamino-6’’’-hydroxyparomomycin II were down-regulated. There were 28 differed metabolites (including leucyl-tryptophan, calcitetrol, 3’’-Oxoribostamycin) between L and H, of which 9 differential metabolites were up-regulated and 19 differential metabolites were down-regulated (Figure 1). Based on KEGG metabolic enrichment pathway analysis and pathway topology analysis, porphyrin metabolism was identified as the most impacted pathway between L and H (Figure 2). In conclusion, increasing colostrum volumes significantly increased serum IgG concentrations at 24 h after birth, favoring the success of the transfer of passive immunity. Alterations in serum metabolome of calves in the Qinghai-Tibet Plateau fed different volumes of colostrum were successfully revealed by untargeted metabolomics. The role of the identified differential metabolites and enriched pathway in the transfer of passive immunity in calves at high altitude deserves further investigation. Keywords: calf, colostrum volumes, high altitude area

Study based on metabolomics and network pharmacology to explore the mechanism of Ginseng-Douch compound fermentation products in the treatment of hyperlipidemia.

Ginseng-Douchi (GD) is a complex fermented product of ginseng and soybean, similar to natto, and is effective in the treatment of hyperlipidemia, but the mechanism of action involved needs to be further explored. The present study combines a comprehensive strategy of network pharmacology and metabolomics to explore the lipid-lowering mechanism of GD. First, a hyperlipidemia rats model induced by a high-fat diet was established to evaluate the therapeutic effects of GD. Second, potential biomarkers were identified using serum metabolomics and metabolic pathway analysis was performed with MetaboAnalyst. Third, network pharmacology is used to find potential therapeutic targets based on the blood-influencing components of GD. Finally, core targets were obtained through a target-metabolite and the enrichment analysis of biomarkers-genes. Biochemistry analysis showed that GD exerted hypolipidemic effects on hyperlipidemic rats. Nineteen potential biomarkers for the GD treatment of hyperlipidemia were identified by metabolomics, which was mainly involved in linoleic acid metabolism, glycerophospholipid metabolism, ether lipid metabolism, alpha-linolenic acid metabolism and glycosylphosphatidylinositol-anchor biosynthesis. GD had a callback function for ether lipid metabolism and glycerophospholipid metabolism pathways. Eighteen blood components were identified in serum, associated with 85 potential therapeutic targets. The joint analysis showed that three core therapeutic targets were regulated by GD, including PIK3CA, AKT1 and EGFR. This study combines serum medicinal chemistry of traditional Chinese medicine, network pharmacology and metabolomics to reveal the regulatory mechanism of GD on hyperlipidemia. © 2024 Society of Chemical Industry.

Integrated metabolomics and lipidomics investigation of the mechanism of Danggui Sini Decoction on improving lipid homeostasis in primary dysmenorrhea

BackgroundDanggui Sini Decoction (DGSND) is a classic prescription for treating primary dysmenorrhea (PD), while, the ameliorating effects of DGSND on PD and its mechanisms are not yet fully understood. PurposeThe present study is devoted to investigate the protective effect of DGSND against PD and the possible mechanism from the perspective of metabolomics as well as lipidomics. MethodsDGSND was characterized by UPLC-Q-TOF/MS. The PD rat model was induced by estradiol benzoate and oxytocin, and traditional pharmacology, including writhing times, latency time, biochemical index, organ index, and histopathology were performed to evaluated the efficacy of DGSND on PD. Urine metabolomics strategy combined with functional analysis was adopted to delineate the therapeutic effect of DGSND on PD rats and anchor the crucial pathway, and lipidomics analysis was further performed with the uterine tissue as the research object to elucidate the protective mechanism of DGSND from the perspective of lipid homeostasis. Finally, western blot analysis was used to validate the expression of key metabolic enzymes in lipid metabolism. ResultsDGSND was effective in ameliorating writhing times, latency time, the value of prostaglandin F2α (PGF2α)/PGE2, uterus index, and morphological changes of PD rats. Metabolic signature of PD rats was primarily characterized by the disturbance of steroid hormone metabolism, amino acid metabolism, and lipid metabolism. Functional analysis revealed the urine biomarkers of PD were most related with lipid abnormality. Further lipidomics analysis indicated DGSND exerted anti-PD effects by remodeling lipid homeostasis, which might be due to the significant correlations between different kinds of lipids, especially the extremely high correlation of phosphatidylethanolamine, phosphatidylcholine, and fatty acids. Moreover, the key metabolic enzymes expression of CK, PLA2, LPCAT3, COX-2, and 5-LOX can be greatly downregulated by DGSND. ConclusionOur findings demonstrated a novel protective mechanism of DGSND against PD by regulating lipid homeostasis.

Metabolomics study of Shenling Baizhu Powder in the treatment of multiple organ dysfunction syndrome in the elderly (MODSE) with malnutrition

Malnutrition is an important risk factor for multiple organ dysfunction syndrome in the elderly (MODSE) and seriously affects the occurrence, progression and prognosis of MODSE. Shenling Baizhu Power (SBP), a classic formula from traditional Chinese medicine (TCM), when integrated with enteral nutrition, has been proven to be an effective clinical strategy for treating the patients of MODSE with malnutrition. This study aimed to investigate the metabolic changes during disease occurrence and SBP treatment, and to discover potential metabolic biomarkers for the diagnosis and efficacy evaluation. An untargeted metabolomics strategy based on UHPLC-Q-Orbitrap-HRMS was performed to reveal the differential serum metabolites between MODSE patients with malnutrition (n=59) and healthy controls (n=33), and those between patients treated with enteral nutrition (n=31) and SBP combined with enteral nutrition (n=28). Significantly different metabolites were identified and mapped onto the network of metabolic pathways to explore the metabolic disorders caused by the disease and the metabolic regulatory mechanism of SBP. Additionally, the area under the curve (AUC) of the potential biomarkers was investigated for predicting the disease and the efficacy of SBP. Sixty differential metabolites were identified between the disease and control groups, which were mainly related to amino acid metabolism, energy metabolism and carbohydrate metabolism. In the same way, 50 differential metabolites associated with SBP treatment were identified, which improved metabolic abnormalities in vivo mainly by regulating the above-mentioned metabolic pathways. Finally, 13 differential metabolites in common were selected as the potential biomarkers and the AUC value of each biomarker was within the range of 0.8–1.0, indicating that these biomarkers had high prediction accuracy for the diagnosis and efficacy evaluation of MODSE with malnutrition. This study demonstrates that serum metabolomics approaches based on the UHPLC-Q-Orbitrap-HRMS platform can be applied as a tool to reveal the metabolic changes induced by MODSE with malnutrition and SBP can play an important role in the clinical application.

Metabolic Profiling Analysis of Congenital Adrenal Hyperplasia via an Untargeted Metabolomics Strategy.

Congenital adrenal hyperplasia (CAH) manifests as an autosomal recessive disorder characterized by defects in the enzymes responsible for steroid synthesis. This work aims to perform metabolic profiling of patients with CAH, screen key differential metabolites compared to the control group, and discover the associated metabolic pathways implicated in CAH. Serum samples obtained from 32 pediatric male patients with CAH and 31 healthy control group candidates were subjected to analysis using non-targeted metabolomics strategy using ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). A total of 278 differential metabolites were identified and annotated in KEGG. Operating characteristic curves (ROC) measurement exhibited 9 metabolites exhibiting high efficacy in differential diagnosis, as evidenced by an area under ROC curve (AUC) exceeding 0.85. Pathway analysis uncovered notable disruptions in steroid hormone biosynthesis (p <0.0001), purine metabolism and irregularities in lipid metabolism and amino acid metabolism, including tyrosine and alanine, in CAH patients. These findings demonstrate that metabolic pathways of purine, amino acid and lipid metabolism, apart from steroid hormone biosynthesis, may be disrupted and associated with CAH. This study helps provide insight into the metabolic profile of CAH patients and offers a new perspective for monitoring and administering follow-up care to CAH patients.

Exploring chemical markers and identifying phenolic markers using a metabolomics strategy and chemometrics to study the different origins of defatted Coix seed

Coix seed, a prevalent medicinal and food-homologous plant, is extensively consumed in Asia. It has various pharmacological properties, such as anti-inflammatory and anticancer effects. Coix seed oil, as its main component, is widely produced. However, during the industrial production process of Coix seed oil, substantial byproducts are produced, namely, defatted Coix seeds, which are also worth researching. Currently, it remains unclear whether there will be differences in defatted Coix seeds obtained from different geographical locations, with previous studies reporting that phenolic compounds in defatted Coix seeds have a significant utilization value. In this study, firstly, the TPC and TFC of samples collected in three temperature zones were detected. Subsequently, UPLC-Q-TOF/MS was used to analyze the samples, and a metabolomics data processing strategy and chemometric analysis method were established. We have confirmed the presence of flavonoids and phenolic compounds in 30 batches of Coix seed from different temperature zones in China, and concluded that the overall quality of Coix seed from different batches is relatively stable. With the established strategy, 12 characteristic chemical markers were identified, and 5 valuable phenolic chemical markers were selected for distinguishing the origin of Coix seed and evaluating the quality of defatted Coix seed. Among them, proanthocyanidin A2 has the highest content in defatted Coix seed in subtropical regions, while the content of caffeic acid, naringin, rutin, and chlorogenic acid decreases from north to south. The strategy proposed in this study may provide some basis for the quality control and rational use of defatted Coix seeds.

Integrating serum pharmacochemistry, network pharmacology and untargeted metabolomics strategies to reveal the material basis and mechanism of action of Feining keli in the treatment of chronic bronchitis

Ethnopharmacological relevanceFeining keli (FNKL) is herbal preparation mainly made from Senecio cannabifolius Less., In recent years, more and more studies have found that FNKL has excellent therapeutic effects on chronic bronchitis (CB). Nevertheless, its pharmacodynamic material basis and mechanism of action are still unknown. Aim of the studyThis study aimed to explore the pharmacodynamic material basis and mechanism of action of FNKL in treating CB. Materials and methodsThe CB rat model was induced using nasal drops of lipopolysaccharide (LPS) in combination with smoking. Various assessments including behavioral and body mass examination, lung index measurement, enzyme linked immunosorbent assay (ELISA), as well as histological analyses using hematoxylin and eosin (H&E) and Masson staining were conducted to validate the reliability of the CB model. The serum components of FNKL in CB rats were identified using ultra-high-performance liquid chromatography Orbitrap Exploris mass spectrometer (UHPLC-OE-MS). Network pharmacology was used to predict the network of action of the active ingredients in FNKL based on these serum components. Signaling pathways were enriched and analyzed, and molecular docking was conducted for key targets. Molecular dynamics simulations were performed using GROMACS software. The mechanism was confirmed through a series of experiments including Western blot (WB), immunofluorescence (IF), and reverse transcription (RT)-PCR. Additionally, untargeted metabolomics was employed to identify biomarkers and relevant metabolic pathways associated with the treatment of CB with FNKL. ResultsIn CB rats, FNKL improved body mass, lung index, and pathological damage of lung tissues. It also decreased interleukin (IL)-6, tumor necrosis factor-alpha (TNF-α), malonaldehyde (MDA) levels, and percentage of lung collagen fiber area. Furthermore, FNKL increased IL-10 and superoxide dismutase (SOD) levels, which helped alleviate bronchial inflammation in the lungs. A total of 70 FNKL chemical components were identified in CB rat serum. Through network pharmacology analysis, 5 targets, such as PI3K, AKT, NF-κB, HIF-1α, and MYD88, were identified as key targets of FNKL in the treatment of CB. Additionally, the key signaling pathways identified were PI3K/AKT pathway、NF-κB/MyD88 pathway、HIF-1α pathway. WB, IF, and RT-PCR experiments were conducted to confirm the findings. Molecular docking studies demonstrated successful docking of 16 potential active components with 5 key targets. Additionally, molecular dynamics simulations indicated the stability of quercetin-3-galactoside and HIF-1α. Metabolomics analysis revealed that FNKL primarily regulated pathways related to alpha-linolenic acid metabolism, primary bile acid biosynthesis, bile secretion, arachidonic acid metabolism, neuroactive ligand-receptor interaction, and folate biosynthesis. Furthermore, the expression levels of traumatic acid, traumatin, alpha linolenic acid, cholic acid, 2-arachidonoylglycerol, deoxycholic acid, 7,8-dihydroneopterin, and other metabolites were found to be regulated. ConclusionFNKL exhibits positive therapeutic effects on CB, with quercetin-3-galactoside identified as a key active component. The mechanism of FNKL's therapeutic action on CB involves reducing inflammatory response, oxidative stress, and regulating metabolism, and its molecular mechanism was better elucidated in a holistic manner. This study serves as a reference for understanding the pharmacodynamic material basis and mechanism of action of FNKL in treating CB, and provides avenues for exploring the effects of compounded herbal medicines on CB.

Gui Qi Zhuang Jin Decoction ameliorates mitochondrial dysfunction in sarcopenia mice via AMPK/PGC-1α/Nrf2 axis revealed by a metabolomics approach

ObjectiveSarcopenia, as a condition of muscle mass loss and functional decline typically diagnosed in elderly individuals, severely affects human physical activity, metabolic homeostasis, and quality of life. Gui Qi Zhuang Jin Decoction (GQZJD), an approved hospital-based prescription with years of clinical application, has been demonstrated to have a notable therapeutic effect on sarcopenia. However, its potential mechanism of action in the treatment of sarcopenia remains uncertain. MethodsUltra-performance liquid chromatography paired with Q Exactive™ HF-X mass spectrometry (UPLC-QE-MS) was used to identify the ingredients of GQZJD. Subsequently, GQZJD observed the basic growth and muscles of the sarcopenia mouse, while the behavioral indicators were also tested. Muscle histopathology and serum oxidative stress biochemicals were also detected, and mitochondrial function and energy metabolism-related indicators in the gastrocnemius muscle were examined. Then, a metabolomics strategy was applied to predict possible pathways involving mitochondria by which GQZJD could improve sarcopenia. Finally, quantitative real-time polymerase chain reaction and western blot analyses were carried out to validate the effects of GQZJD on sarcopenia-induced mitochondrial dysfunction, together with uncovering the associated mechanisms. ResultsTwenty-seven ingredients absorbed into the blood (IAIBs) of GQZJD were identified using UPLC-QE-MS, which were regarded as the main active ingredients behind its sarcopenia treatment effects. GQZJD administration increased the body weight, gastrocnemius muscle mass, and autonomic activity, mitigated muscle tissue morphology and pathology; and alleviated the oxidative stress levels in sarcopenia mice. Treatment with GQZJD also decreased the mitochondrial reactive oxygen species level and serum lipid peroxide Malonaldehyde concentration. and increased the mitochondrial membrane potential, adenosine triphosphate level, 8‑hydroxy-2-deoxyguanosine content, mitochondrial DNA copy number, and the mitochondrial fission factor dynamin-related protein 1. Non-targeted metabolomics suggested that the sarcopenia therapeutic effect of GQZJD on sarcopenia may occur through the glycerophospholipid metabolism, choline metabolism in cancer, phenylalanine metabolism and tyrosine metabolism pathways, implying an association with AMP-activated protein kinase (AMPK) and related signals. Further, the molecular docking results hinted that AMPK performed well in terms of binding energy with the 27 IAIBs of GQZJD (average binding energy, -7.5 kcal/mol). Finally, we determined that GQZJD significantly activated the key targets of the AMPK/peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α)/nuclear factor erythroid 2-related factor 2 (Nrf2) axis.. ConclusionsOur results demonstrated that GQZJD ameliorated d-galactose-induced sarcopenia by promoting the animal behaviours, facilitating mitochondrial function and restoring mitochondrial energy metabolism. with its effects mediated by the AMPK/PGC-1α/Nrf2 axis. Over all, GQZJD represents a promising therapeutic candidate that ameliorated sarcopenia in aging mice.

Exploring the anti-inflammatory and immunomodulatory potential of licochalcone B against psoralidin-induced liver injury

Ethnopharmacological relevanceHerb-induced liver injury (HILI) represents an exacerbated inflammatory response, with Psoraleae fructus (PF) and its preparations recently associated with hepatotoxicity. Licorice, historically recognized as a detoxifying herbal remedy, is considered to possess hepatoprotective properties. Our previous research identified bavachin, bakuchiol, and psoralidin (PSO) as potential toxic constituents in PF, while licochalcone B (LCB) and echinatin were identified as bioactive components in licorice. However, evidence regarding the interactions of active compounds in herbs and their underlying mechanisms remains limited. Aim of the studyThe objective of this study is to assess the potential mechanisms through which LCB modulates immunological and anti-inflammatory responses to treat PSO-induced liver injury by using human hepatocyte cells (L02) and LPS-primed mice. MethodsThe ameliorative effects of LCB and echinatin on bavachin, bakuchiol, and PSO-induced liver injury were demonstrated in L02 cells. Subsequently, the efficacy of LCB on PSO-induced idiosyncratic liver injury was further validated in C57BL/6 mice under moderate inflammatory stress induced by LPS priming. The mechanisms were preliminarily explored with an integrated strategy of molecular docking, RT-PCR verification, and untargeted metabolomics. ResultsThe study shows that LCB significantly reduced cell injury induced by the three chemicals in PF and provided substantial protection against PSO-induced hepatic damage, as indicated by the levels of ALT, AST, and LDH. LCB normalized liver function and remarkedly alleviated hepatic lesions and inflammation caused by PSO in mice under moderate inflammatory stress. The mRNA profiles of both L02 cells and mice liver tissue revealed that LCB mitigated PSO-induced hepatotoxicity by regulating the gene expression of pro-inflammatory cytokines IL1B and TNF, as well as immunoinflammatory genes PIK3CA, AKT1, NFKB1, and NLRP3. Furthermore, untargeted metabolomics of liver tissue indicated that LCB could reverse the abnormal expression of 11 discriminatory metabolites, with the interrelationship between differential metabolites and target genes primarily clustering in glycerophospholipid metabolism, arachidonic acid metabolism, and phosphatidylinositol signaling system. ConclusionLCB demonstrated a superior anti-inflammatory and immunomodulatory effect on PSO-induced hepatotoxicity by modulating the inflammatory response and metabolic signaling system. Key interactive targets included phosphatidylcholine, phosphatidic acid, and subunit isoforms of PI3K.