Integration of network pharmacology and experimental verification to reveal the active components and molecular mechanism of modified Danzhi Xiaoyao San in the treatment of depression.

ETHNOPHARMACOLOGICAL RELEVANCE: Modified Danzhi Xiaoyao San (MDXS) is an effective clinical prescription for depression in China, which was deprived of Danzhi Xiaoyao San in the Ming Dynasty. MDSX has significant implications for the development of new antidepressants, but its pharmacological mechanism has been rarely studied. AIM OF THE STUDY: To reveal the active components and molecular mechanism of MDXS in treating depression through network pharmacology and experimental verification in vivo and in vitro. MATERIALS AND METHODS: UPLC-Q-TOF-MS/MS was used to identify the chemical components in the MDXS freeze-dried powder, drug-containing serum, and cerebrospinal fluid (CSF). Based on the analysis of prototype components in the CSF, the major constituents, potential therapeutic targets and possible pharmacological mechanisms of MDXS in treating depression were investigated using network pharmacological and molecular docking. Then corticosterone (CORT)-induced mice model of depression was established to investigate the antidepressant effects of MDXS. HT22 cells were cultured to verify the neuroprotective effects and core targets of the active components. RESULTS: There were 81 compounds in MDXS freeze-dried powder, 36 prototype components in serum, and 13 prototype components in CSF were identified, respectively. Network pharmacology analysis showed that these 13 prototype components in the CSF shared 190 common targets with depression, which were mainly enriched in MAPK and PI3K/AKT signaling pathways. PPI analysis suggested that AKT1 and MAPK1 (ERK1/2) were the core targets. Molecular docking revealed that azelaic acid (AA), senkyunolide A (SA), atractylenolide III (ATIII), and tokinolide B (TB) had the highest binding energy with AKT1 and MAPK1. Animal experiments verified that MDXS could reverse CORT-induced depression-like behaviors, improve synaptic plasticity, alleviate neuronal injury in hippocampal CA3 regions, and up-regulate the protein expression of p-ERK1/2 and p-AKT. In HT22 cells, azelaic acid, senkyunolide A, and atractylenolide III significantly protected the cell injury caused by CORT, and up-regulated the protein levels of p-ERK1/2 and p-AKT. CONCLUSIONS: These results suggested that MDXS may exert antidepressant effects partially through azelaic acid, senkyunolide A, and atractylenolide III targeting ERK1/2 and AKT.

Integrating MALDI-TOF Mass Spectrometry with Machine Learning Techniques for Rapid Antimicrobial Resistance Screening of Foodborne Bacterial Pathogens.

Although MALDI-TOF mass spectrometry (MS) is considered as the gold standard for rapid and cost-effective identification of microorganisms in routine laboratory practices, its capability for antimicrobial resistance (AMR) detection has received limited focus. Nevertheless, recent studies explored the predictive performance of MALDI-TOF MS for detecting AMR in clinical pathogens when machine learning techniques are applied. This chapter describes a routine MALDI-TOF MS workflow for the rapid screening of AMR in foodborne pathogens, with Campylobacter spp. as a study model.

Integration of MALDI-TOF MS and machine learning to classify enterococci: A comparative analysis of supervised learning algorithms for species prediction.

This research focused on distinguishing distinct matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) spectral signatures of three Enterococcus species. We evaluated and compared the predictive performance of four supervised machine learning algorithms, K-nearest neighbor (KNN), support vector machine (SVM), and random forest (RF), to accurately classify Enterococcus species. This study involved a comprehensive dataset of 410 strains, generating 1640 individual spectra through on-plate and off-plate protein extraction methods. Although the commercial database correctly identified 76.9% of the strains, machine learning classifiers demonstrated superior performance (accuracy 0.991). In the RF model, top informative peaks played a significant role in the classification. Whole-genome sequencing showed that the most informative peaks are biomarkers connected to proteins, which are essential for understanding bacterial classification and evolution. The integration of MALDI-TOF MS and machine learning provides a rapid and accurate method for identifying Enterococcus species, improving healthcare and food safety.

[Chemical components and in vitro anti-aging activity of Yangxue Qingnao Wan based on UPLC-Q-TOF-MS/MS].

The main chemical components of Yangxue Qingnao Wan(YXQNW) were analyzed and identified by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS). According to the mass spectrometry information, Mass Hunter 10.0 analysis software was used to compare the collected quasi-molecular ion peaks and secondary fragment ions with literature and reference substances. A total of 131 compounds were identified from YXQNW, including 11 phenylpropanoids, 11 flavonoids, 42 nitrogen-containing compounds, 12 terpenoids, 17 phthalides, 23 quinones, and 15 other compounds. The anti-aging activity of YXQNW and six compounds from YXQNW, including rosmarinic acid, gallic acid, rutin, umbelliferone, hyperoside, and vanillic acid, were evaluated by D-galactose(D-gal)-induced HT22 cell senescence model. The effects of the compounds on HT22 cell damage and individual cell proliferation ability were observed from overall and individual perspectives by the Beyo Click~(TM) EdU-555 cell proliferation kit, and apoptosis was detected by the Annexin V-FITC/PI double staining apoptosis detection kit. Finally, the anti-aging effect of the compounds was tested by a cell senescence ß-galactosidase staining kit. This study provides a more comprehensive analysis of the chemical components of YXQNW and evaluates its anti-aging effect, which will provide a scientific basis for basic research on the efficacy of YXQNW for the treatment of various neurological diseases, such as Alzheimer's disease(AD), headache, and memory loss.

Enantiomer-specific effects of metamifop on serum metabolism in rats.

Metamifop (MET) is a widely used pesticides in paddy field and it has good weed control effect. As a chiral pesticide that may be hazardous to human health through food chain transmission, there could be selective differences in the metabolism and toxicity of its enantiomers, so the study of chiral MET may offer an assessment of MET toxicity and stereoselectivity at the enantiomeric level. A total of 39, 43 and 31 differential metabolites were screened from the data sets of Rac-, R-(-)- and S-(+)-MET, respectively. Metabolic pathway analysis revealed that MET and its enantiomers primarily affected sphingolipid metabolism, glycerophospholipid metabolism, linoleic acid metabolism, α-linolenic acid metabolism and arachidonic acid metabolism. Rac- and S-(+)-MET affected the synthesis of glycosylphosphatidylinositol (GPI)-anchored biomolecules. R-(-)- and S-(+)-MET affected glutathione metabolism. R-(-)-MET affected vitamin B6 metabolism, selenium compound metabolism, and steroid biosynthesis. Pyrimidine metabolism was only affected by Rac-MET. The experimental results indicated that MET and its enantiomers may affect the nervous and immune systems in rats. Further inter-group difference analysis also demonstrated stereoselectivity of MET and its enantiomers on rat serum metabolism. These findings may provide more detailed information on the toxicity of Rac-, S-(+)- and R-(-)-MET in rat, as well as some context for assessing the environmental risk of the three agents to organisms.

Study on the metabolism of Xiao-Jian-Zhong-Tang in rats with chronic atrophic gastritis coupled with bioinformatics.

Xiao-Jian-Zhong-Tang (XJZT) has the effect of warming the middle and tonifying the deficiency, easing the urgency and relieving pain according to the theory of traditional Chinese medicine (TCM), and is able to treat spleen deficiency type chronic atrophic gastritis (CAG). Metabolites of TCM in cecum contents are common metabolites of intestinal bacteria and hosts, which can reflect the metabolic status in disease states. The present work was performed to study the effect of XJZT against CAG coupled with the cecal metabolites analysis and bioinformatics. A total of nine prototypical components and 144 metabolites were firstly identified in the cecum metabolites of XJZT using ultra-high performance liquid chromatography added to the quadrupole-time of flight mass spectrometry (UHPLC-Q-TOF/MS), which underwent the metabolism of oxidation, reduction, methylation, and glucuronic acid reaction Furthermore, different prototypical compounds might metabolize into identical metabolites in the presence of intestinal flora. Bioinformatics was further used to correlate these metabolites with the disease and intestinal flora. Components and targets were screened by Cytoscape, and molecular docking of key targets and core components showed good binding ability. This study provided important information for exploring the mechanism of TCM formulae.

An evaluation of static ToF-SIMS analysis of environmental organics.

Time-of-flight secondary ion mass spectrometry (ToF-SIMS) has been extensively used in surface analysis due to its high mass resolution, sensitivity, and mass spectral imaging capabilities. Static ToF-SIMS has mainly been used for solid material analysis; however, its application in environmental organics is limited. During SIMS spectral analysis, relative mass accuracy and measurement repeatability are key factors for obtaining reliable speciation and acquiring chemical insights of the specimens. Herein, we provide an evaluation of four environmentally relevant organic systems, including glyoxal, pyruvic acid, oil-in-water emulsion, and carbon dioxide (CO2) capture solvent (i.e., N-2-ethoxyethyl-3-morpholinopropan-1-amine, EMMPA), to show the spectral measurement repeatability when using static ToF-SIMS. First, sample preparation is essential in acquiring accurate and reproducible results in ToF-SIMS analysis. The mass spectral results show that characteristic peaks observed can be distinguished with reasonable confidence by comparing the observed mass to charge ratios (m/z) to theoretical ones. The statistical analysis of peak areas indicates that the peak area and/or peak height measurement ratios are satisfactory among replicates. Compared with previous studies, the bismuth cluster primary ion beam, namely Bi3 +, has less fragmentation than Bi+. Therefore, Bi3 + is deemed more suitable for organic analysis using static SIMS. Our results show that ToF-SIMS offers a viable approach to study environmental organics including but not limited to aqueous aerosols, wastewater emulsions, and CO2 capture solvents. It is expected that future studies will expand organic speciation with high fidelity due to the continued advancement of SIMS as a sensitive analysis technique.

Biocontrol of Colletotrichum fructicola in the Postharvest Banana Fruit Using the Siderophore-Producing Strain BX1.

Banana anthracnose, caused by Colletotrichum fructicola, significantly reduced the postharvest fruit quality. Employing biocontrol strategies offers a sustainable approach to enhance agricultural practices. The Burkholderia sp. strain BX1 hinders the growth and appressorium formation of C. fructicola, and its sterile filtrate lowers the anthracnose incidence while preserving the fruit quality. Scanning electron microscopy and genomic analyses confirmed BX1 as Burkholderia pyrrocinia. AntiSMASH analysis identified three siderophores with high similarity, and improved MALDI-TOF IMS confirmed the presence of the siderophore pyochelin. Furthermore, the BX1 filtrate suppressed the expression of virulence genes in C. fructicola and induced the expression of disease resistance genes in banana. However, the presence of 80 µM iron ions notably mitigated BX1's inhibitory effects and reversed the changes in related gene expression. These results underscore BX1's robust efficacy as a biocontrol agent in managing banana anthracnose, highlight the effective antifungal compounds, and elucidate the influence of environmental factors on biocontrol effectiveness.

Xenophilus aerolatus isolate misidentified as Brucella spp. by MALDI-TOF MS (VITEK-MS) system.

We report the characterization of Xenophilus aerolatus strain identified from a screening rectal swab specimen in human, initially misidentified as Brucella spp. by MALDI-TOF MS (VITEK-MS system). The strain is able to growth on ColorexTM mSuperCARBA plate, suggesting carbapenem resistance. Whole genome sequencing identified several potential antimicrobial resistance mechanisms.

Two-dimensional metal-organic framework nanosheets coated solid-phase microextraction Arrow coupled with UPLC-Q-ToF-MS for the determination of three veterinary residues in milk and pork.

This study presents a method utilizing solid-phase microextraction Arrow (SPME Arrow) combined with ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) for the selective detection of three veterinary drugs-thiabendazole, sulfamethazine, and clenbuterol-in milk and pork. Two-dimensional metal-organic framework nanosheets (2D-MOFs) were employed as coating materials for the SPME Arrow. Three types of 2D-MOFs (Ni, Mn, and Co based) were synthesized and characterized using Fourier transform infrared spectroscopy, scanning electron microscopy, transmission electron microscopy, and a physical adsorption analyzer. The 2D-MOF coatings were fabricated using the electrospinning technique, with polyacrylonitrile (PAN) serving as the binder. Comparative analysis of the three 2D-MOF coatings revealed that 2D-Ni-MOF was the optimal coating material for the SPME Arrow. Optimization of the coating preparation conditions and SPME procedures included determining the optimal mass ratio of 2D-Ni-MOF to PAN, electrospinning time, and extraction and desorption parameters. Equilibrium extraction was achieved within 60 min, and desorption was completed within 30 min. Subsequently, the 2D-Ni-MOF-SPME Arrow-UPLC-Q-TOF-MS method was established and validated under optimal conditions, demonstrating high precision with inter-day precision ranging from 3.8 % to 9.5 % and intra-day precision ranging from 5.1 % to 11.5 %. The reusability study indicated that the extraction performance of the new SPME Arrow remained consistent after 90 adsorption-desorption cycles. The method exhibited linearity in milk and pork over the ranges of 0.002-5 µg L-1 and 0.01-5 µg L-1, respectively. The detection limits in milk and pork were 0.001-0.004 µg L-1 and 0.003-0.007 µg L-1, respectively. This method demonstrated excellent applicability for determining residues of the three veterinary drugs in milk and pork.

Investigation of bioactive components and metabolic pathways of Zhen-wu-tang in rat plasma and renal tissue by UPLC-Q-TOF/MS.

INTRODUCTION: Zhen-wu-tang (ZWT) is a traditional Chinese medicine (TCM) formula for the treatment of several kidney diseases. However, due to the complexity of the TCM formula, there is a lack of accurate knowledge of the chemical constituents of ZWT and its bioactive components, as well as in vivo metabolic pathway studies. OBJECTIVES: The chemical composition of ZWT and its bioactive components along with the metabolic pathways were investigated by a combination of chemical profiling and serum pharmacochemistry. METHODS: High-resolution ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry was used to identify the chemical components of ZWT and its bioactive components and metabolites in vivo. RESULTS: As a result, a total of 110 chemical components were identified from ZWT solution, mainly amino acids, alkaloids, gingerols, monoterpene glycosides and terpenoids, and so on. In addition, 24 prototype components and 36 metabolites were detected in rat plasma. Meanwhile, 8 prototype components were detected in rat kidney tissue but no metabolites. Interestingly, 4 of the 28 bioactive components were detected in both plasma and renal tissue, which were atractylenolide III, trimethoxyaconitane, methyl gallate, and paeoniflorin. The metabolic pathways mainly involved Phases I and/or II metabolic reactions such as hydrolysis, oxidation, reduction and hydration, methylation/demethylation, sulphation, glucuronidation, acetylation, and glutathione conjugation. CONCLUSION: Overall, the present study has comprehensively elucidated the chemical composition of ZWT and its potential bioactive components and metabolites, which provides a basis for the basic study of its pharmacodynamic substances and a reference for the study of the bioactive components of TCM formulae.

Anti-inflammatory potential of aspergillus unguis SP51-EGY: TLR4-dependent effects & chemical diversity via Q-TOF LC-HRMS.

Inflammation serves as an intricate defense mechanism for tissue repair. However, overactivation of TLR4-mediated inflammation by lipopolysaccharide (LPS) can lead to detrimental outcomes such as sepsis, acute lung injury, and chronic inflammation, often associated with cancer and autoimmune diseases. This study delves into the anti-inflammatory properties of "Aspergillus unguis isolate SP51-EGY" on LPS-stimulated RAW 264.7 macrophages. Through real-time qPCR, we assessed the expression levels of pivotal inflammatory genes, including iNOS, COX-2, TNF-α, and IL-6. Remarkably, our fungal extracts significantly diminished NO production and showed noteworthy reductions in the mRNA expression levels of the aforementioned genes. Furthermore, while Nrf2 is typically associated with modulating inflammatory responses, our findings indicate that the anti-inflammatory effects of our extracts are not Nrf2-dependent. Moreover, the chemical diversity of the potent extract (B Sh F) was elucidated using Q-TOF LC-HRMS, identifying 54 compounds, some of which played vital roles in suppressing inflammation. Most notably, compounds like granisetron, fenofibrate, and umbelliprenin were found to downregulate TNF-α, IL-1ß, and IL-6 through the NF-κB signaling pathway. In conclusion, "Aspergillus unguis isolate SP51-EGY", isolated from the Red Sea, Egypt, has been unveiled as a promising TLR4 inhibitor with significant anti-inflammatory potentials, presenting novel insights for their potential therapeutic use in inflammation.

Analysis of contaminant residues in honey bee hive matrices.

Pollinators provide ecological services essential to maintaining our food supply and propagating natural habitats. Populations are in decline due to environmental stressors including pesticides, pathogens, and habitat loss. To better understand the impacts of pesticide exposures on colony health, a field survey in Ohio, USA was conducted to monitor the potential contamination of honey bee colonies by pesticides. Apiaries (n = 10) were situated across an agricultural gradient and samples were collected over a 4-week period encompassing corn planting. Dead bees from entrance traps (DBT), pollen, and in-hive (IH) matrices including bee bread, honey, larvae, and nurse bees were analyzed for a whole suite of pesticides. Out of 210 pesticides targeted, 68 residues were quantified across 306 samples. Neonicotinoids, miticides, and fungicides were the dominant pesticide classes identified throughout all the matrix types. Neonicotinoids were detected at higher concentrations and at higher frequencies compared to fungicides, specifically in field pollen samples. DBT also contained high concentrations of these two contaminant classes, although detection frequencies for neonicotinoids were typically lower. Overall, herbicides and non­neonicotinoid insecticides were found with low frequency and at low concentrations. For most pesticide classes, trends for the mean concentrations were DBT > IH nurse bees > field pollen > IH larvae > IH honey. Pesticides were detected in 100 % of samples with concentrations ranging from 0.01 ppb (diphenylamine) to 2790 ppb (clothianidin). All samples were contaminated with at least two pesticide residues, while 19 samples presented over ten detects and maximum detections of 20 in DBT. Pesticide residues were positively correlated with agricultural gradients across sites and sampling periods. These findings reveal that foraging leads to the exposure of the entire colony to a wide range of pesticides. Moreover, residues determined in DBT serve as an effective proxy for monitoring hive matrices with significantly less disturbance to active hives.

Rapid discovery of natural antioxidants in Hypericum japonicum: Dual roles of the liquid phase mobile phase as extraction and separation solvent.

Hypericum japonicum is a traditional folk medicine with various bioactivities such as hepatoprotective, antioxidant, and anti-tumorous. The antioxidant effect of H. japonicum is one of the most prominent effects due to its responsibility for many of its activities. To clarify active natural substance, the antioxidant properties of H. japonicum were preliminarily assessed by ferric reducing-antioxidant power (FRAP), 2,2-azino-bis-3-ethylbenzothiazoline-6-sulphonic acid (ABTS) and Oxygen radical absorbance capacity (ORAC), as well as superoxide dismutase (SOD). Then, a straightforward and effective method named online liquid extraction-high performance liquid chromatography combined with ABTS antioxidant assay and mass spectrometry (OLE-HPLC-ABTS/Q-TOF-MS) was developed to swiftly and directly discover the antioxidants in H. japonicum. Using mobile phase as extraction and separation reagent, coupled with online activity analysis and compounds identification by high-resolution MS, the online system enables rapid screening of natural antioxidant bioactives from complex mixture. By using it, a total of 9 compounds including flavonoids and phenolic acids characterized by retention time, precise mass, and fragmentation ions in MS/MS spectra showed antioxidant action. Finally, the antioxidant and SOD activity of main found active compounds were validated by in vitro experiment assay and molecular docking. In summary, these results suggested that H. japonicum could be considered as a potential source of natural antioxidants, and the online integrated system might become a promising candidate for the natural antioxidants discovery in the future.

Valorization of grape pomace extracts against cranberry, elderberry, rose hip berry, goji berry and raisin extracts: Phytochemical profile and in vitro biological activity.

The circular economy is gaining attention around the world as a sustainable approach to tackling environmental problems, promoting more responsible management of resources. The aim of this work is the valorization of grape pomace as a waste product of agrifood chain. We prepared decoction (DC), ultrasound-assisted and microwave-assisted extracts (UAE and MAE respectively) of grape pomace, determining their phytochemical profile (using HPLC-ESI-Q-TOF-MS), antioxidant activity and enzyme inhibitory effects. Then, the results were compared with those of raisins and several edible berries already present in the market. Grape pomace extracts presented the highest total phenolic content (62-68 mg gallic acid equivalents/g; mg GAE/g), whereas the concentrations in the other berries were 4-43 mg GAE/g. These results were in agreement with the higher antioxidant activity and tyrosinase inhibition observed in grape pomace compared with the other berries, except for the metal chelating activity. The main compounds in grape pomace extracts were flavonoids (particularly quercetin glycosides), followed by organic acids (citric, isocitric and gallic acids). These results open new perspectives in the development of food supplements and nutraceuticals based on grape pomace extracts.

Electrochemical removal of antiretroviral drug - raltegravir from aquatic media: Multivariate optimization, degradation studies and transformation products characterization.

Electrochemical degradation of the antiretroviral drug raltegravir was investigated using different electrode materials (platinum, glassy carbon and boron-doped diamond). After preliminary studies with the use of multivariate chemometric method, electrochemical degradation was conducted with a boron-doped diamond electrode and phosphate buffer at pH 9. To assess the role of different variable in degradation kinetics, final experiments were conducted with varying applied current densities, chloride and humic acid concentrations, and using a natural river water sample. The results showed that raltegravir degradation generally followed pseudo-first-order kinetics. The degradation rate was inhibited by the presence of humic acid, while increasing the applied current density or chloride concentration enhanced the removal of raltegravir. Degradation process performed in the river water sample followed second-order kinetics and led to almost complete degradation of raltegravir within 30 min, highlighting the impact of natural matrices on reaction kinetics. Total organic carbon analysis was utilized, showing that even rapid degradation of the parent compound did not ensure total mineralization. Additionally, the energy consumption analysis revealed that the presence of chloride ions significantly improves efficiency of the organic carbon elimination. With the use of high-resolution mass spectrometry fourteen transformation products were elucidated, and their aquatic toxicity was predicted using in silico approach. Half of the identified transformation products were found to possess higher aquatic toxic potential than the parent compound, emphasizing the necessity of the mineralization assessment.

Genotyping of Oral Candida albicans and Candida tropicalis Strains in Patients with Orofacial Clefts Undergoing Surgical Rehabilitation by MALDI-TOF MS: Case-Series Study.

Patients with orofacial clefts are more likely to develop oral fungal diseases due to anatomo-physiological changes and surgical rehabilitation treatment. This case-series study evaluated the genetic diversity and dynamics of oral colonization and spread of C. albicans and C. tropicalis in four patients with orofacial clefts, from the time of hospital admission, perioperative and outpatient follow-up, with specialized physician. Candida biotypes previously identified by CHROMagar Candida and PCR methods were studied by MALDI-TOF MS assays and clustering analyses. Possible correlations with pathogenicity characteristics were observed, including production of hydrolytic exoenzymes and the antifungal sensitivity profiles. Amphotericin B-sensitive and fluconazole-resistant (low frequency) C. tropicalis and C. albicans, including clinically compatible MIC of nystatin, were found in the oral cavity of these patients. Clusters of isolates revealed phenomena of (i) elimination in the operative phase, (ii) maintenance or (iii) acquisition of oral C. tropicalis in the perioperative period and specialized outpatient and medical follow-up. For C. albicans, these phenomena included (i) elimination in the operative phase, (ii) acquisition in the operative phase and propagation from the hospital environment, and (iii) maintenance during hospitalization and operative phase. Amphotericin B and nystatin were shown to be effective in cases of clinical treatment and/or prophylaxis, especially considering the pre-existence of fluconazole-resistant strains. This study confirmed the phenomena of septic maintenance, septic neocolonization and septic elimination involving the opportunistic pathogens. MALDI-TOF MS associated with clustering analysis may assist the monitoring of clinical isolates or groups of epidemiologically important microbial strains in the hospital setting.

Diagnostic performance of an automated robot for MALDI target preparation in microbial identification.

The MBT Pathfinder is an automated colony-picking robot designed for efficient sample preparation in matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. This article presents results from three key experiments evaluating the instrument's performance in conjunction with MALDI Biotyper instrument. The method comparison experiment assessed its clinical performance, demonstrating comparable results with gram-positive, gram-negative, and anaerobic bacteria (scores larger than 2.00) and superior performance over simple direct yeast transfer (score: 1.80) when compared to samples prepared manually. The repeatability experiment confirmed consistent performance over multiple days and labs (average log score: 2.12, std. deviation: 0.59). The challenge panel experiment showcased its consistent and accurate performance across various samples and settings, yielding average scores between 1.76 and 2.19. These findings underline the MBT Pathfinder as a reliable and efficient tool for MALDI-TOF mass spectrometry sample preparation in clinical and research applications.

Application of MALDI-TOF mass spectrometry for identification of Nocardia species.

BACKGROUND: Nocardiosis, despite its rarity and underreporting, is significant due to its severe impact, characterized by high morbidity and mortality rates. The development of a precise, reliable, rapid, and straightforward technique for identifying the pathogenic agent in clinical specimens is crucial to reduce fatality rates and facilitate timely antimicrobial treatment. In this study, we aimed to identify Nocardia spp. in clinical isolates, using MALDI-TOF MS as the primary method, with molecular methods as the gold standard. Clinical Nocardia isolates were identified using 16S rRNA/hsp65/gyrB/secA1/rpoB gene sequencing. Identification performance of the Bruker MALDI Biotyper 3.1 (V09.0.0.0_8468) and MBT Compass 4.1 (V11.0.0.0_10833) for Nocardia identification was evaluated. RESULTS: Seventy-six Nocardia isolates were classified into 12 species through gene sequencing. The MALDI Biotyper 3.1 (V09.0.0.0_8468) achieved 100% genus-level accuracy and 84.2% species accuracy (64/76). The MBT Compass 4.1 with the BDAL Database (V11.0.0.0_10833) improved species identification to 98.7% (75/76). The updated database enhanced species level identification with scores > 1.7, increasing from 77.6% (59/76) to 94.7% (72/76), a significant improvement (P = 0.001). The new and simplified extraction increased the proportion of strains identified to the species level with scores > 1.7 from 62.0% (18/29) to 86.2% (25/29) (P = 0.016). An in-house library construction ensured accurate species identification for all isolates. CONCLUSIONS: The Bruker mass spectrometer can accurately identify Nocardia species, albeit with some variations observed between different database versions. The MALDI Biotyper 3.1 (V09.0.0.0_8468) has limitations in identifying Nocardia brasiliensis, with some strains only identifiable to the genus level. MBT Compass 4.1 (V11.0.0.0_10833) effectively addresses this shortfall, improving species identification accuracy to 98.7%, and offering quick and reliable identification of Nocardia. Both database versions incorrectly identified the clinically less common Nocardia sputorum as Nocardia araoensis. For laboratories that have not upgraded their databases and are unable to achieve satisfactory identification results for Nocardia, employing the new and simplified extraction method can provide a degree of improvement in identification outcomes.

Acupuncture at the Zusanli acupoint can reduce the inflammatory response in AIA mice by regulating the arachidonic acid and pentose phosphate pathways.

BACKGROUND: Rheumatoid arthritis (RA) is an autoimmune disease characterized by synovitis, which can lead to joint deformity. Acupuncture treatment stimulates specific acupoints to adjust qi and blood function, relieving joint inflammation and pain. METHODS: Ultra-high performance liquid chromatography-mass spectrometry (UPLC-QTOF-MS) was utilized for non-targeted metabolomics analysis of plasma samples from the blank group, Adjuvant-Induced Arthritis (AIA) model mice model mice group, and acupuncture group. Metabolite hierarchical clustering analysis, multivariate statistical analysis, standardized processing, principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and other methods were employed to identify targeted metabolites affected by acupuncture treatment in AIA mice. The related metabolic pathways were analyzed using KEGG pathway. RESULTS: Histopathological results demonstrated that acupuncture at Zusanli point (ST 36) significantly improved the inflammatory response in AIA mice. The PCA score plot indicated relatively close sample clustering within each group with significant differences observed between the four groups, confirming successful establishment of the AIA animal model with metabolic disorders occurring. Acupuncture treatment effectively corrected these metabolic disorders. Plasma metabolomics identified a total of 10 differential metabolites primarily associated with arachidonic acid and pentose phosphate metabolic pathways. CONCLUSIONS: Acupuncture at ST36 can significantly improve the inflammatory response in AIA mice through modulation of arachidonic acid and pentose phosphate metabolic pathways.