Multiple-matrix metabolomics analysis for the distinct detection of colorectal cancer and adenoma.

OBJECTIVES: Although colorectal cancer (CRC) is the leading cause of cancer-related morbidity and mortality, current diagnostic tests for early-stage CRC and colorectal adenoma (CRA) are suboptimal. Therefore, there is an urgent need to explore less invasive screening procedures for CRC and CRA diagnosis. METHODS: Untargeted gas chromatography-mass spectrometry (GC-MS) metabolic profiling approach was applied to identify candidate metabolites. We performed metabolomics profiling on plasma samples from 412 subjects including 200 CRC patients, 160 CRA patients and 52 normal controls (NC). Among these patients, 45 CRC patients, 152 CRA patients and 50 normal controls had their fecal samples tested simultaneously. RESULTS: Differential metabolites were screened in the adenoma-carcinoma sequence. Three diagnostic models were further developed to identify cancer group, cancer stage, and cancer microsatellite status using those significant metabolites. The three-metabolite-only classifiers used to distinguish the cancer group always keeps the area under the receiver operating characteristic curve (AUC) greater than 0.7. The AUC performance of the classifiers applied to discriminate CRC stage is generally greater than 0.8, and the classifiers used to distinguish microsatellite status of CRC is greater than 0.9. CONCLUSION: This finding highlights potential early-driver metabolites in CRA and early-stage CRC. We also find potential metabolic markers for discriminating the microsatellite state of CRC. Our study and diagnostic model have potential applications for non-invasive CRC and CRA detection.

Integrated network pharmacology, molecular docking, and lipidomics to reveal the regulatory effect of Qingxuan Zhike granules on lipid metabolism in lipopolysaccharide-induced acute lung injury.

Qingxuan Zhike granules (QXZKG), a traditional Chinese patent medication, has shown therapeutic potential against acute lung injury (ALI). However, the precise mechanism underlying its lung-protective effects requires further investigation. In this study, integrated network pharmacology, molecular docking, and lipidomics were used to elucidate QXZKG's regulatory effect on lipid metabolism in lipopolysaccharide-induced ALI. Animal experiments were conducted to substantiate the efficacy of QXZKG in reducing pro-inflammatory cytokines and mitigating pulmonary pathology. Network pharmacology analysis identified 145 active compounds that directly targeted 119 primary targets of QXZKG against ALI. Gene Ontology function analysis emphasized the roles of lipid metabolism and mitogen-activated protein kinase (MAPK) cascade as crucial biological processes. The MAPK1 protein exhibited promising affinities for naringenin, luteolin, and kaempferol. Lipidomic analysis revealed that 12 lipids showed significant restoration following QXZKG treatment (p < 0.05, FC >1.2 or <0.83). Specifically, DG 38:4, DG 40:7, PC O-40:8, TG 18:1_18:3_22:6, PI 18:2_20:4, FA 16:3, FA 20:3, FA 20:4, FA 22:5, and FA 24:5 were downregulated, while Cer 18:0;2O/24:0 and SM 36:1;2O/34:5 were upregulated in the QXZKG versus model groups. This study enhances our understanding of the active compounds and targets of QXZKG, as well as the potential of lipid metabolism in the treatment of ALI.

Integration of lipidomics and metabolomics reveals plasma and urinary profiles associated with pediatric Mycoplasma pneumoniae infections and its severity.

Mycoplasma pneumoniae is a significant contributor to lower respiratory infections in children. However, the lipidomics and metabolics bases of childhood M. pneumoniae infections remain unclear. In this study, lipidomics and metabolomics analyses were conducted using UHPLC-LTQ-Orbitrap XL mass spectrometry and gas chromatography-triple quadrupole mass spectrometry on plasma (n = 65) and urine (n = 65) samples. MS-DIAL software, in combination with LipidBlast and Fiehn BinBase DB, identified 163 lipids and 104 metabolites in plasma samples, as well as 208 metabolites in urine samples. Perturbed lipid species (adjusted p < 0.05) were observed, including lysophosphatidylethanolamines, phosphatidylinositols, phosphatidylcholines, phosphatidylethanol amines, and triglycerides. Additionally, differential metabolites (adjusted p < 0.05) exhibited associations with amino acid metabolism, nucleotide metabolism, and energy metabolism. Thirteen plasma metabolites, namely l-hydroxyproline, 3-phosphoglycerate, citric acid, creatine, inosine, ribitol, α tocopherol, cholesterol, cystine, serine, uric acid, tagatose, and glycine, showed significant associations with disease severity (p < 0.05) and exhibited distinct separation patterns in M. pneumoniae-infected bronchitis and pneumonia, with an area under the curve of 0.927. Nine of them exhibited either positive or negative correlations with neutrophil or lymphocyte percentages. These findings indicated significant systemic metabolic shifts in childhood M. pneumoniae infections, offering valuable insights into the associated metabolic alterations and their relationship with disease severity.

Lipidomics reveals the serum profiles of pediatric allergic rhinitis and its severity.

Allergic rhinitis (AR) is a prevalent upper airway chronic inflammatory disease in children worldwide. The role of bioactive lipids in the regulation of AR has been recognized, but the underlying serum lipidomic basis of its pathology remains unclear. We utilized ultra-performance liquid chromatography (UPLC)-Q-Exactive Orbitrap/mass spectrometry (MS) to investigate the serum lipidomic profiles of children with AR. The lipidomic analysis identified 42 lipids that were differentially expressed (p < 0.05, fold change > 2) between the AR (n = 75) and normal control groups (n = 44). Specifically, the serum levels of diacylglycerol (DG), triacylglycerol (TG), fatty acid (FA), lysophosphatidylcholine (LPC), lysophosphatidylethanolamine, phosphatidyl-ethanolamine, and cardiolipins were significantly higher in the AR group. The diagnostic potential of the identified lipids was further evaluated using receiver operating characteristic curve analysis. The analysis revealed that five lipids, including FA 30:7, LPC O-18:1, LPC 18:0, LPC 16:0, and DG 34:0, had area under the curve values greater than 0.9 (p < 0.05). Furthermore, serum levels of IgE and IL-33, markers of AR severity, were found to have a significant positive correlation (p < 0.05) with DGs, LPCs, TGs, and FAs in AR patients. This study revealed the lipid disorders associated with AR and its severity, providing new insights into the pathological process of AR.

Aldicarb disturbed bile acid, steroid hormone and oxylipin homeostasis in C57BL/6 J mice.

Mounting evidence has shown that the gut microbiota plays a key role in human health. The homeostasis of the gut microbiota could be affected by many factors, including environmental chemicals. Aldicarb is a carbamate insecticide used to control a variety of insects and nematode pests in agriculture. Aldicarb is highly toxic and its wide existence has become a global public health concern. In our previous study, we have demonstrated that aldicarb disturbed the gut microbial community structure and composition. However, the impacts of aldicarb on gut microbiota-derived metabolites, bile acids, remain elusive. In present study, we performed targeted metabolomics analysis to explore the effects of aldicarb exposure on bile acids, as well as steroid hormones and oxylipins in the serum, feces and liver of C57BL/6 J mice. Our results showed that aldicarb exposure disturbed the level of various bile acids, steroid hormones and oxylipins in the serum and feces of C57BL/6 J mice. In the liver, the level of cortisol was decreased, meanwhile 15,16-dihydroxyoctadeca-9,12-dienoic acid was increased in aldicarb-treated mice. Metagenomic sequencing analysis showed that the relative abundance of a bile salt hydrolase, choloylglycine hydrolase (EC:3.5.1.24) and a sulfatase enzyme involved in steroid hormone metabolism, arylsulfatase, was significantly increased by aldicarb exposure. Furthermore, correlations were found between gut microbiota and various serum metabolites. The results from this study are helpful to improve the understanding of the impact of carbamate insecticides on host and microbial metabolism.

Gut commensal Parabacteroides distasonis alleviates inflammatory arthritis.

OBJECTIVE: Gut microbiota dysbiosis is closely linked to the pathogenesis of rheumatoid arthritis (RA). We aimed to identify potential probiotic gut microbes that can ameliorate the development of RA. DESIGN: Microbiota profiling in patients with RA and healthy individuals was investigated via 16S rDNA bacterial gene sequencing and shotgun metagenomics. Collagen-induced arthritic mice and TNF-α transgenic mice were used to evaluate the roles of the gut commensal Parabacteroides distasonis in RA. The effects of P. distasonis-derived microbial metabolites on the differentiation of CD4+ T cells and macrophage polarisation were also investigated. RESULTS: The relative abundance of P. distasonis in new-onset patients with RA and patients with RA with history of the disease was downregulated and this decrease was negatively correlated with Disease Activity Score-28 (DAS28). Oral treatment of arthritic mice with live P. distasonis (LPD) considerably ameliorated RA pathogenesis. LPD-derived lithocholic acid (LCA), deoxycholic acid (DCA), isolithocholic acid (isoLCA) and 3-oxolithocholic acid (3-oxoLCA) had similar and synergistic effects on the treatment of RA. In addition to directly inhibiting the differentiation of Th17 cells, 3-oxoLCA and isoLCA were identified as TGR5 agonists that promoted the M2 polarisation of macrophages. A specific synthetic inhibitor of bile salt hydrolase attenuated the antiarthritic effects of LPD by reducing the production of these four bile acids. The natural product ginsenoside Rg2 exhibited its anti-RA effects by promoting the growth of P. distasonis. CONCLUSIONS: P. distasonis and ginsenoside Rg2 might represent probiotic and prebiotic agents in the treatment of RA.

Discovery of N-Acyl Amino Acids and Novel Related N-, O-Acyl Lipids by Integrating Molecular Networking and an Extended In Silico Spectral Library.

Research on novel bioactive lipids has garnered increasing interest. Although lipids can be identified by searching mass spectral libraries, the discovery of novel lipids remains challenging as the query spectra of such lipids are not included in libraries. In this study, we propose a strategy to discover novel carboxylic acid-containing acyl lipids by integrating molecular networking with an extended in silico spectral library. Derivatization was performed to improve the response of this method. The tandem mass spectrometry spectra enriched by derivatization facilitated the formation of molecular networking and 244 nodes were annotated. We constructed consensus spectra for these annotations based on molecular networking and developed an extended in silico spectral library based on these consensus spectra. The spectral library included 6879 in silico molecules covering 12,179 spectra. Using this integration strategy, 653 acyl lipids were discovered. Among these, O-acyl lactic acids and N-lactoyl amino acid-conjugated lipids were annotated as novel acyl lipids. Compared with conventional methods, our proposed method allows for the discovery of novel acyl lipids, and extended in silico libraries significantly increase the size of the spectral library.

Analysis of temporal metabolic rewiring for human respiratory syncytial virus infection by integrating metabolomics and proteomics.

INTRODUCTION: Human respiratory syncytial virus (HRSV) infection causes significant morbidity, and no effective treatments are currently available. Viral infections induce substantial metabolic changes in the infected cells to optimize viral production. Metabolites that reflect the interactions between host cells and viruses provided an opportunity to identify the pathways underlying severe infections. OBJECTIVE: To better understand the metabolic changes caused by HRSV infection, we analyzed temporal metabolic profiling to provide novel targets for therapeutic strategies for inhaled HRSV infection. METHODS: The epithelial cells and BALB/c mice were infected with HRSV. Protein and mRNA levels of inflammation factors were measured by using quantitative reverse transcription polymerase chain reaction and enzyme-linked immunosorbent assay. Untargeted metabolomics, lipidomics and proteomics were performed using liquid chromatography coupled with mass spectrometry to profile the metabolic phenotypic alterations in HRSV infection. RESULTS: In this study, we evaluated the inflammatory responses in vivo and in vitro and investigated the temporal metabolic rewiring of HRSV infection in epithelial cells. We combined metabolomics and proteomic analyses to demonstrate that the redox imbalance was further provoked by increasing glycolysis and anaplerotic reactions. These responses created an oxidant-rich microenvironment that elevated reactive oxygen species levels and exacerbated glutathione consumption. CONCLUSION: These observations indicate that adjusting for metabolic events during a viral infection could represent a valuable approach for reshaping the outcome of infections.

Integration of semi-empirical MS/MS library with characteristic features for the annotation of novel amino acid-conjugated bile acids.

Recently, amino acids other than glycine and taurine were found to be conjugated with bile acids by the gut microbiome in mouse and human. As potential diagnostic markers for inflammatory bowel disease and farnesoid X receptor agonists, their physiological effects and mechanisms, however, remain to be elucidated. A tool for the rapid and comprehensive annotation of such new metabolites is required. Thus, we developed a semi-empirical MS/MS library for bile acids conjugated with 18 common amino acids, including alanine, arginine, asparagine, aspartate, glutamine, glutamate, histidine, isoleucine, leucine, lysine, methionine, phenylalanine, proline, serine, threonine, tryptophan, tyrosine, and valine. To investigate their fragmentation rules, these amino acids were chemically conjugated with lithocholic acid, deoxycholic acid, and cholic acid, and their accurate-mass MS/MS spectra were acquired. The common fragmentation patterns from the amino acid moieties were combined with 10 general bile acid skeletons to generate a semi-empirical MS/MS library of 180 structures. Software named BAFinder 2.0 was developed to combine the semi-empirical library in negative mode and the characteristic fragments in positive mode for automatic unknown identification. As a proof of concept, this workflow was applied to the LC-MS/MS analysis of the feces of human, beagle dogs, and rats. In total, 171 common amino acid-conjugated bile acids were annotated and 105 of them were confirmed with the retention times of synthesized compounds. To explore other potential bile acid conjugates, user-defined small molecules were in-silico conjugated with bile acids and searched in the fecal dataset. Four novel bile acid conjugates were discovered, including D-Ala-D-Ala, Lys(iso)-Gly, L-2-aminobutyric acid, and ornithine.

Excessive exogenous cholesterol activating intestinal LXRα-ABCA1/G5/G8 signaling pathway can not reverse atherosclerosis in ApoE-/- mice.

BACKGROUND: The long-term excessive intake of exogenous cholesterol can lead to abnormally elevated blood lipid levels and induce cardiovascular and cerebrovascular diseases. However, the influence and relevance of exogenous cholesterol on plasma cholesterol components were still unclear, and the influence on intestinal lipid metabolism targets needs to be further explored. METHODS: In vivo, the C57BL/6 + NF group and ApoE-/- + NF group mice were fed a normal specific pathogen-free (SPF) diet; the ApoE-/- + HF group mice were fed a high-cholesterol SPF diet. The plasma and jejunum tissue homogenate were obtained for non-targeted lipid metabolomics. The lipid droplets in tissues were observed by transmission electron microscope and oil red O staining. Jejunum tissue morphology was observed by HE staining. The kits were used to detect lipid content in plasma, tissues, intestinal contents, and cells. Western blot, RT-PCR, immunohistochemistry (IHC), and immunofluorescence (IF) were used to observe the key target of lipid metabolism. In vitro, the final concentration of cholesterol was 100 µmol/L in Caco-cells. Oil red O staining, western blot, RT-PCR and immunofluorescence (IF) were used to observe the changes of lipid metabolism. Finally, the influence of liver X receptor alpha (LXRα) on intestinal cholesterol metabolism was clarified by applying the LXRα inhibitor GSK2033 and siRNA targeting LXRα. RESULTS: The aortic arch and intestinal villi of the two groups of ApoE-/- mice showed apparent lesions and lipid accumulation, and there were significant changes in a variety of lipids in the plasma and jejunum. Additionally, jejunum LXRα was markedly activated. High cholesterol can significantly activate LXRα in Caco-2 cells. After LXRα was inhibited, the protein level of ATP-binding cassette transporter A1/G5/G8 (ABCA1/G5/G8) decreased, and the quantity and volume of intracellular lipids soared. CONCLUSION: In a high-cholesterol environment, the intestine promotes the excretion of cholesterol from the cell through the LXRα-ABCA1/G5/G8 pathway, reduces the intestinal intake of a variety of exogenous cholesterol, and reduces the risk of AS.

Size-dependent effects of polystyrene microplastics on gut metagenome and antibiotic resistance in C57BL/6 mice.

Microplastic pollution is an emerging threat for marine and terrestrial ecosystems, which has raised global concerns about its implications for human health. Mounting evidence has shown that the gut microbiota plays a key role in human health and diseases. The gut bacteria could be disturbed by many environmental factors, including the microplastic particles. However, the size effect of polystyrene microplastics on mycobiome, as well as gut functional metagenome has not been well studied. In this study, we performed ITS sequencing to explore the size effect of polystyrene microplastics on the fungal composition, in combination with the shotgun metagenomics sequencing to reveal the size effects of polystyrene on the functional metagenome. We found that polystyrene microplastic particles with 0.05-0.1 µm diameter showed greater impact on the bacterial and fungal composition of gut microbiota as well as the metabolic pathways than the polystyrene microplastic particles with 9-10 µm diameter. Our results suggested that size-depended effects should not be ignored in the health risk assessment of microplastics.

Elevated monocytic myeloid-derived suppressor cells positively correlate with infection frequency in children with RRTIs.

In children with recurrent respiratory tract infections (RRTIs), the percentages and numbers of monocytic myeloid-derived suppressor cells (MDSCs) were elevated. The elevated MDSCs positively correlate with respiratory tract infection frequency in RRTIs children. The elevated MDSCs can inhibit CD8+ T-cells proliferation in RRTIs children.

Comprehensive plasma metabolomics and lipidomics of benign and malignant solitary pulmonary nodules.

INTRODUCTION: Solitary pulmonary nodules (SPNs) are commonly found in imaging technologies, but are plagued by high false-positive rates. OBJECTIVE: We aimed to identify metabolic alterations in SPN etiology and diagnosis using less invasive plasma metabolomics and lipidomics. METHODS: In total, 1160 plasma samples were obtained from healthy volunteers (n = 280), benign SPNs (n = 157) and malignant SPNs (stage I, n = 723) patients enrolled from 5 independent centers. Gas chromatography-triple quadrupole mass spectrometry (GC‒MS) and liquid chromatography-Q Exactive Hybrid Quadrupole-Orbitrap mass spectrometry (LC‒MS) were used to analyze the samples for untargeted metabolomics and lipidomics. RESULTS AND CONCLUSION: GC‒MS-based metabolomics revealed 1336 metabolic features, while LC‒MS-based lipidomics revealed 6088 and 2542 lipid features in the positive and negative ion modes, respectively. The metabolic and lipidic characteristics of healthy vs. benign or malignant SPNs exhibited substantial pattern differences. Of note, benign and malignant SPNs had no significant variations in circulating metabolic and lipidic markers and were validated in four other centers. This study demonstrates evidence of early metabolic alterations that can possibly distinguish SPNs from healthy controls, but not between benign and malignant SPNs.

Untargeted lipidomics reveals specific lipid abnormalities in systemic lupus erythematosus.

OBJECTIVES: To identify potential lipid biomarkers by studying changes in the blood lipid profile of patients with systemic lupus erythematosus (SLE) using lipidomics. METHODS: Serum samples were collected from 115 SLE patients and 115 age- and sex-matched healthy controls (HCs). Lipid profiles were assessed using ultrahigh-performance liquid chromatography coupled with Q Exactive spectrometry, and possible lipid biomarkers were screened and evaluated by univariate and multivariate analyses. RESULTS: Metabolic phenotypes related to SLE disease activity index (SLEDAI) scores were detected in the serum of SLE patients, and these phenotypes indicated the activity of the disease. Alterations in energy metabolism, fatty acid metabolism and other pathways were observed in patients with SLE. Phosphatidylethanolamine (16:0/18:2), lysophosphatidylethanolamine (18:0), and acylcarnitine (11:0) can be used as biomarkers for the clinical diagnosis of SLE, and receiver operating characteristic (ROC) analysis indicated their effectiveness in diagnosing this disease. CONCLUSIONS: Our study identified serum biomarkers related to disease activity in patients with SLE, providing a basis for its clinical diagnosis.

[Mechanism of Cordyceps militaris against non-small cell lung cancer: based on serum metabolomics].

This study investigated the potential mechanism of Cordyceps militaris(CM) against non-small cell lung cancer(NSCLC) based on serum untargeted metabolomics. Specifically, Balb/c nude mice were used to generate the human lung cancer A549 xenograft mouse model. The tumor volume, tumor weight, and tumor inhibition rate in mice in the model, cisplatin, Cordyceps(low-, medium-, and high-dose), and CM(low-, medium-, and high-dose) groups were compared to evaluate the influence of CM on lung cancer. Gas chromatography-mass spectrometry(GC-MS) was used for the analysis of mouse serum, SIMCA 13.0 for the compa-rison of metabolic profiles, and MetaboAnalyst 5.0 for the analysis of metabolic pathways. According to the pharmacodynamic data, the tumor volume and tumor weight of mice in high-dose CM group and cisplatin group decreased as compared with those in the model group(P<0.05 or P<0.01). The results of serum metabolomics showed that the metabolic profiles of the model group were significantly different from those of the high-dose CM group, and the content of endogenous metabolites was adjusted to different degrees. A total of 42 differential metabolites and 7 differential metabolic pathways were identified. In conclusion, CM could significantly inhibit the tumor growth of lung cancer xenograft mice. The mechanism is the likelihood that it influences the aminoacyl-tRNA biosynthesis, the metabolism of D-glutamine and D-glutamate, metabolism of alanine, aspartate, and glutamate, metabolism of glyoxylate and dicarboxylic acid, biosynthesis of phenylalanine, tyrosine, and tryptophan, arginine biosynthesis as well as nitrogen metabolism. This study elucidated the underlying mechanism of CM against NSCLC from the point of metabolites. The results would lay a foundation for the anticancer research and clinical application of CM.

[Anti-asthma components and mechanism of Kechuanting acupoint application therapy: based on serum metabolomics and network pharmacology].

This study aims to explore the anti-asthma components and mechanism of Kechuanting acupoint application therapy(KAAT) based on serum metabolomics and network pharmacology. A total of 60 asthma patients who had used low-dose inhaled corticosteroids-formoterol(ICS-formoterol) for a long time were randomized into the western medicine group(low-dose ICS-formoterol) and western medicine+Kechuanting group(KAAT+low-dose ICS-Formoterol), 30 in either group. In addition, 30 healthy people were included as the control(no intervention). The asthma control test(ACT) score, forced expiratory volume in 1 second(FEV1), and peak expiratory flow(PEF) were measured in the western medicine group and western medicine+Kechuanting group before and after treatment. The potential biomarkers of KAAT in the treatment of asthma were screened by gas chromatography-mass spectrometry combined with multivariate analysis, and the related metabolic pathways were further analyzed. UPLC/LTQ-Orbitrap-MS, together with network pharmacology, was employed to construct the component-target-pathway network. Thereby, the effective components and me-chanism of KAAT in the treatment of asthma were clarified. According to the ACT score, FEV1, and PEF, KAAT was effective in the treatment of asthma. A total of 10 endogenous biomarkers of KAAT in the treatment of asthma were screened by serum metabolomics, and the pathways of the metabolism of glycine, serine and threonine, and the metabolism of glyoxylic acid and dicarboxylic acid were obtained. UPLC/LTQ-Orbitrap-MS identified 51 chemical components of KAAT: 24 flavonoids, 11 alkaloids, 8 phenols, 2 diterpenoids, 2 triterpenoids, 2 glycosides, and 2 aldehydes. Network pharmacology analysis suggested that KAAT mainly acted on serum crea-tinine(SRC), matrix metalloproteinase 9(MMP-9), and other target proteins. The treatment was closely related to metabolic pathway, phosphatidylinositol 3-kinase-protein kinase B(PI3 K-Akt), mitogen-activated protein kinase(MAPK), and calcium signaling pathway. Sinapine thiocyanate, corydaline, dihydroberberine, stylopine, leonticine, N-methyl tetrahydroberberine, kaempferide, erio-dictyol, quercetin, catechin, 6-gingerol, 6-shogaol, ingenol, and luteolin may be potential effective compounds of KAAT in the treatment of asthma. This study preliminarily revealed that the effective components and mechanism of KAAT in treatment of asthma based on serum metabolomics and network pharmacology. It lays a theoretical foundation for in-depth study of the mechanism and clinical development and application.

Untargeted lipidomics reveals specific lipid abnormalities in Sjögren's syndrome.

OBJECTIVE: The relationship between serum lipid variations in SS and healthy controls was investigated to identify potential predictive lipid biomarkers. METHODS: Serum samples from 230 SS patients and 240 healthy controls were collected. The samples were analysed by ultrahigh-performance liquid chromatography coupled with Q Exactive™ spectrometry. Potential lipid biomarkers were screened through orthogonal projection to latent structures discriminant analysis and further evaluated by receiver operating characteristic analysis. RESULTS: A panel of three metabolites [phosphatidylcholine (18:0/22:5), triglyceride (16:0/18:0/18:1) and acylcarnitine (12:0)] was identified as a specific biomarker of SS. The receiver operating characteristic analysis showed that the panel had a sensitivity of 84.3% with a specificity of 74.8% in discriminating patients with SS from healthy controls. CONCLUSION: Our approach successfully identified serum biomarkers associated with SS patients. The potential lipid biomarkers indicated that SS metabolic disturbance might be associated with oxidized lipids, fatty acid oxidation and energy metabolism.

Untargeted serum metabolomics and potential biomarkers for Sjögren's syndrome.

OBJECTIVES: At present, the pathogenesis of Sjögren's syndrome (SS) remains unclear. This research aimed to identify differential metabolites that contribute to SS diagnosis and discover the disturbed metabolic pathways. METHODS: Recent advances in mass spectrometry have allowed the identification of hundreds of unique metabolic signatures and the exploration of altered metabolite profiles in disease. In this study, 505 candidates including healthy controls (HCs) and SS patients were recruited and the serum samples were collected. A non-targeted gas chromatography-mass spectrometry (GC-MS) serum metabolomics method was used to explore the changes in serum metabolites. RESULTS: We found SS patients and HCs can be distinguished by 21 significant metabolites. The levels of alanine, tryptophan, glycolic acid, pelargonic acid, cis-1-2-dihydro-1-2-naphthalenediol, diglycerol, capric acid, turanose, behenic acid, dehydroabietic acid, stearic acid, linoleic acid, heptadecanoic acid, valine, and lactic acid were increased in serum samples from SS patients, whereas levels of catechol, anabasine, 3-6-anhydro-D-galactose, beta-gentiobiose, 2-ketoisocaproic acid and ethanolamine were decreased. The significantly changed pathways included the following: Linoleic acid metabolism; unsaturated fatty acid biosynthesis; aminoacyl-tRNA biosynthesis; valine, leucine, and isoleucine biosynthesis; glycerolipid metabolism; selenocompound metabolism; galactose metabolism; alanine, aspartate and glutamate metabolism; glyoxylate and dicarboxylate metabolism; glycerophospholipid metabolism; and valine, leucine and isoleucine degradation. CONCLUSIONS: These findings enhance the informative capacity of biochemical analyses through the identification of serum biomarkers and the analysis of metabolic pathways and contribute to an improved understanding of the pathogenesis of SS.

Vibration reduction of a quadrotor with a cable-suspended payload using polynomial trajectories.

This paper considers a transportation system consisting of a quadrotor with a cable-suspended payload. The main focus of this paper is to investigate the effect of polynomial trajectories on the vibration of the cable-suspended payload and to show which polynomial trajectory results in less vibration. A mathematical analysis and a parametric study were carried out to investigate the effect of the degree of the polynomial trajectory on its kinematic behavior. A conjecture relates the degree of the polynomial trajectory and its kinematic behavior to the corresponding payload vibration was introduced. The base excitation model of vibratory systems was proposed as the model of the transportation system of interest. The vibration analysis of both the transportation system and the polynomial trajectories was conducted analytically to show which polynomial trajectory has the least payload vibration. A second stage of payload vibration reduction was provided by introducing a method to reduce the transmitted vibration from the quadrotor to the payload for any quadrotor trajectory. A roadmap to design the transportation task that can reduce the payload vibration was proposed. Both the simulation and the experimental results were presented, discussed and analyzed to verify the findings of this paper.

[Modified Dihuang Decoction improves ovarian reserve in mice by regulating Bcl-2-related mitochondrial apoptosis pathway].

The present study investigated the effect of Modified Dihuang Decoction in improving ovarian reserve in mice through the Bcl-2-related mitochondrial apoptosis pathway. Forty-eight adult female BALB/c mice were randomly divided into the following six groups with eight mice in each group: a blank group, a model group, a femoston group(three cycles of treatment with 0.13 mg·kg~(-1) estradiol tablets for 2 days and 1.43 mg·kg~(-1) estradiol and dydrogesterone tablets for 3 days), and high(64.74 g·kg~(-1))-, medium(43.16 g·kg~(-1))-, and low-dose(21.58 g·kg~(-1)) Modified Dihuang Decoction groups. Mice in other groups except the blank group received a single intraperitoneal injection of 12 mg·kg~(-1) cyclophosphamide and 1.2 mg·kg~(-1) busulfan to induce a model of diminished ovarian reserve(DOR), while those in the blank group received an equal volume of normal saline. Mice were treated with corresponding drugs for 15 d from the 36 th day, once per day, and the mice in the blank group and the model group were treated with an equal volume of normal saline. The general condition and oestrous cycle were observed. The serum hormone levels were detected with the enzyme-linked immunosorbent assay(ELISA). The morphological changes of ovaries were observed by HE staining. Western blot was used to detect the protein expression of cysteinyl aspartate specific proteinase-9(caspase-9), cleaved caspase-3, Bcl-2 associated X protein(Bax), Bcl-2, superoxide dismutase-2(SOD-2), and glutathione peroxidase-1(GPx-1). The mRNA expression of Bax and Bcl-2 was detected by real-time fluorescence-based quantitative polymerase chain reaction(real-time PCR). The results showed that compared with the blank group, the model group showed body weight loss, disordered oestrous cycle, elevated serum levels of follicle-stimulating hormone(FSH) and luteinizing hormone(LH), reduced serum levels of estradiol(E_2), anti-mullerian hormone(AMH), and inhibin B(INHB), the declining number of ovarian follicles and granulosa layers, increased number of atretic follicles, up-regulated protein expression of caspase-9, cleaved caspase-3, and Bax and Bax mRNA expression in ovaries, and down-regulated protein expression of Bcl-2, SOD-2 and GPx-1, and Bcl-2 mRNA expression. Compared with the model group, the Modified Dihuang Decoction groups displayed restored body weight and oestrous cycle, decreased serum levels of FSH and LH, elevated serum levels of E_2, AMH, and INHB, increased number of ovarian follicles, thickened granulosa layers, and declining number of atretic follicles. Additionally, the protein expression of caspase-9, cleaved caspase-3, and Bax, and Bax mRNA expression was down-regulated, and the protein expression of Bcl-2, SOD-2, and GPx-1, and Bcl-2 mRNA expression was up-regulated. The results suggest that Modified Dihuang Decoction can regulate endocrine hormone, promote follicle growth and improve ovarian reserve by enhancing ovarian anti-oxidant capacity, inhibiting the Bcl-2-related mitochondrial apoptosis pathway, and further inhibiting cell apoptosis.