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Abstract As one of the two most ancient groups of extant vertebrates, lamprey has become an important model organism in various fields of biology. In this paper, we present a comprehensive tissue-wide spatial metabolomics dataset for lampreys, where 14 distinct tissues were analyzed using liquid chromatography-mass spectrometry (LC-MS) in both positive and negative ion modes. The dataset has been fully validated using internal standard and pooled quality control samples and is readily accessible at the UCSD Metabolomics Workbench. This dataset serves as a valuable resource for researchers using lampreys as a model organism. Additionally, it acts as a benchmark metabolomics dataset for evaluating new algorithms and software tools and comparing them with previously published results. A lamprey spatial metabolomics database is also provided to support studies utilizing lampreys as an animal model, and to complement and validate other spatial metabolomics studies on lampreys conducted with mass spectrometry imaging or other techniques.

Rheumatoid arthritis (RA) and postmenopausal osteoporosis (PMOP) are common bone-immune diseases. The imbalance between helper (Th17) and regulatory T cells (Tregs) produced during differentiation of CD4+ T cells plays a key regulatory role in bone remodelling disorders in RA and PMOP. However, the specific regulatory mechanism of this imbalance in bone remodelling in RA and PMOP has not been clarified. Identifying the regulatory mechanism underlying the Th17/Treg imbalance in RA and PMOP during bone remodelling represents a key factor in the research and development of new drugs for bone immune diseases. In this review, the potential roles of Th17, Treg, and Th17/Treg imbalance in regulating bone remodelling in RA and PMOP have been summarised, and the potential mechanisms by which probiotics, traditional Chinese medicine compounds, and monomers maintain bone remodelling by regulating the Th17/Treg balance are expounded. The maintenance of Th17/Treg balance could be considered as an therapeutic alternative for the treatment of RA and PMOP. This study also summarizes the advantages and disadvantages of conventional treatments and the quality of life and rehabilitation of patients with RA and PMOP. The findings presented her will provide a better understanding of the close relationship between bone immunity and bone remodelling in chronic bone diseases and new ideas for future research, prevention, and treatment of bone immune diseases.

Abstract The geographic origin of agri-food products contributes greatly to their quality and market value. Here, we developed a robust method combining metabolomics and machine learning (ML) to authenticate the geographic origin of Wuyi rock tea, a premium oolong tea. The volatiles of 333 tea samples (174 from the core region and 159 from the non-core region) were profiled using gas chromatography time-of-flight mass spectrometry and a series of ML algorithms were tested. Wuyi rock tea from the two regions featured distinct aroma profiles. Multilayer Perceptron achieved the best performance with an average accuracy of 92.7% on the training data using 176 volatile features. The model was benchmarked with two independent test sets, showing over 90% accuracy. Gradient Boosting algorithm yielded the best accuracy (89.6%) when using only 30 volatile features. The proposed methodology holds great promise for its broader applications in identifying the geographic origins of other valuable agri-food products.

Osteoporosis (OP) is characterized by a decrease in osteoblasts and an increase in adipocytes in the bone marrow compartment, alongside abnormal bone/fat differentiation, which ultimately results in imbalanced bone homeostasis. Bone marrow mesenchymal stem cells (BMSCs) can differentiate into osteoblasts and adipocytes to maintain bone homeostasis. Several studies have shown that lncRNAs are competitive endogenous RNAs that form a lncRNA–miRNA network by targeting miRNA for the regulation of bone/fat differentiation in BMSCs; this mechanism is closely related to the corresponding treatment of OP and is important in the development of novel OP-targeted therapies. However, by reviewing the current literature, it became clear that there are limited summaries discussing the effects of the lncRNA–miRNA network on osteogenic/adipogenic differentiation in BMSCs. Therefore, this article provides a review of the current literature to explore the impact of the lncRNA–miRNA network on the osteogenic/adipogenic differentiation of BMSCs, with the aim of providing a new theoretical basis for the treatment of OP.

Background: Axillary vein puncture is a popular puncture site for pacemaker implantation. However, due to the lacking of body surface markers, the current puncture method is too complicated and affect the popularization and application of axillary vein puncture. Here, we performed a new body surface landmark to make the blind axillary vein puncture simple and easy. Methods: The study population included 30 patients referred for pacemaker implantation using axillary vein puncture. Digital subtraction angiography (DSA) was used to determine the direction and the surface landmarks of the axillary vein. Medial cusp of thoracic triangle and the coracoid process were directly touched with fingers. The puncture point was about 1 cm below the coracoid, and the needle tip pointed to the medial cusp of thoracic triangle with the angle of 30–60°. Results: There was little variation in distribution of axillary vein. The body surface landmark of the junction of the axillary vein and the subclavian vein is on the medial cusp of thoracic triangle. In these 30 patients, blind axillary vein puncture was successful obtained in all patients. There was no pneumothorax and inadvertent arterial puncture. The pacemaker lead wire was placed smoothly. Moreover, the pacemaker pocket was ideally positioned when cut along the puncture point. Conclusions: Blind axillary vein access using the body surface landmark of the thoracic triangle is an effective method for pacemaker implantation and can obvious avoid the complications usually observed with the traditional subclavian vein approach.

Gray blight disease, which is caused by Pestalotiopsis-like species, poses significant challenges to global tea production. However, the comprehensive metabolic responses of tea plants during gray blight infection remain understudied. Here, we employed a multi-omics strategy to characterize the temporal transcriptomic and metabolomic changes in tea plants during infection by Pseudopestalotiopsis theae, the causal agent of gray blight. Untargeted metabolomic profiling with ultra-performance liquid chromatography–quadrupole time-of-flight mass spectrometry (UPLC-QTOFMS) revealed extensive metabolic rewiring over the course of infection, particularly within 24 h post-inoculation. A total of 64 differentially accumulated metabolites were identified, including elevated levels of antimicrobial compounds such as caffeine and (−)-epigallocatechin 3-gallate, as well as oxidative catechin polymers like theaflavins, theasinensins and theacitrins. Conversely, the synthesis of (+)-catechin, (−)-epicatechin, oligomeric proanthocyanidins and flavonol glycosides decreased. Integrated omics analyses uncovered up-regulation of phenylpropanoid, flavonoid, lignin biosynthesis and down-regulation of photosynthesis in response to the pathogen stress. This study provides novel insights into the defense strategies of tea plants against gray blight disease, offering potential targets for disease control and crop improvement.

Fusarium wilt of banana (FWB), caused by Fusarium oxysporum f. sp. cubense (Foc), especially tropical race 4 (TR4), presents the foremost menace to the global banana production. Extensive efforts have been made to search for efficient biological control agents for disease management. Our previous study showed that Streptomyces sp. XY006 exhibited a strong inhibitory activity against several phytopathogenic fungi, including F. oxysporum. Here, the corresponding antifungal metabolites were purified and determined to be two cyclic lipopeptide homologs, lipopeptin A and lipopeptin B. Combined treatment with lipopeptin complex antagonized Foc TR4 by inhibiting mycelial growth and conidial sporulation, suppressing the synthesis of ergosterol and fatty acids and lowering the production of fusaric acid. Electron microscopy observation showed that lipopeptide treatment induced a severe disruption of the plasma membrane, leading to cell leakage. Lipopeptin A displayed a more pronounced antifungal activity against Foc TR4 than lipopeptin B. In pot experiments, strain XY006 successfully colonized banana plantlets and suppressed the incidence of FWB, with a biocontrol efficacy of up to 87.7%. Additionally, XY006 fermentation culture application improved plant growth parameters and induced peroxidase activity in treated plantlets, suggesting a possible role in induced resistance. Our findings highlight the potential of strain XY006 as a biological agent for FWB, and further research is needed to enhance its efficacy and mode of action in planta.

Natural odour compounds could be a potential alternative to synthetic herbicides. The odour compound of Periploca sepium Bunge, named 2-hydroxy-4-methoxy-benzaldehyde (HMB), is a herbicidal compound. However, its herbicidal mechanism is unclear. In this experiment, the physiological and biochemical indices, ultrastructure, and photosynthetic function of the leaves of Humulus scandens (Lour.) Merr. treated by HMB were assessed to elucidate the herbicidal mechanism. The results of physiological and biochemical indices are as follows: First, after 4 h of treatment with 2.5 and 5.0 mg/mL, the damage rates in the membrane permeation assay were 74.7% and 89.1%, respectively. Second, compared to the negative control group, multiple physiological and biochemical indices of the two treated groups were changed, including catalase content (−18.5 and −26.5 ng/mL), superoxide dismutase content (−27.4 and −56.6 ng/mL), peroxidase content (382.0 and 880.0 ng/mL), reactive oxygen species content (16.7 and 27.2 ng/mL), malondialdehyde content (8.9 and 25.2 nmol/g), and water potential values (0.2 and 0.3 MPa), except for the photosynthetic pigment contents (chlorophyll a, b, and carotene). Furthermore, the results of transmission electron microscopy showed that the organelles in the mesophyll tissue cells disappeared and severe plasmolysis led to cell atrophy after 4 h of treatment. There were fewer starch granules after 24 h of treatment, but there was no obvious abnormality in the upper and lower epidermal cells. The results of photosynthetic function showed that in the light response, the net photosynthetic rate (Pn), transpiration rate (Tr), stomatal conductance (Gs), and stomatal limitation value of the tested leaves were lower than those of the negative control group by 26.6 μmol·m−2·s−1, 7.7 mmol·m−2·s−1, 0.9 mol·m−2·s−1, and 0.2, respectively. However, the intercellular CO2 concentration (Ci) increased and was higher than the air CO2 concentration. In the CO2 response, the Pn, Tr and Gs of the tested leaves first increased and then decreased, but the Ci value continuously increased and finally reached 1727.5 μmol·mol−1. It is obvious that HMB may have inhibited the effect on the photosynthetic system of the tested leaves. Overall, HMB killed the weeds by destroying the structure and multiple physiological functions of the tested leaves.

Accurate tumor staging is the premise andfoundation of precision medicine. This study aims to find the effectivebiomarkers in the staging process of bladder cancer tumors. First, screen keygene module related to the staging of bladder cancer. Then, taking the hubgenes in the key gene module as features, a stage prediction model isconstructed by logistic regression and stochastic gradient descent method. Itshows that themolecular combination of CTHRC1, COL6A3, TIMP2 andSULF1 can be used as an indicator for stage diagnosis. Importantly, the COL1A1is not only the pivot gene in the weighted gene co-expression network, but alsothe core of the protein-protein interaction network. And a set of single-cellRNA sequencing data in Gene Expression Omnibus (GEO) database is used to verifythe results. The consistent conclusions indicate that COL1A1 is a potentialoncogene and biomarker in the progression of bladder cancer, and can be used asa molecular target for the treatment of bladder cancer to slow the rate oftumor development. In addition, function and pathway enrichment analysis showthat focal adhesion is a crucial pathway in the tumor metastasis of bladdercancer, and members of the fibrous collagen family play an important role inthe proliferation and spread of tumor cells. The biomarkers and pathwaysidentified in this study provide an important basis for the determination ofpersonalized medical programs.

ABSTRACT Trehalose biosynthesis pathway is a potential target for antifungal drug development, and trehalose 6-phosphate (T6P) accumulation is widely known to have toxic effects on cells. However, how organisms maintain a safe T6P level and cope with its cytotoxicity effects when accumulated have not been reported. Herein, we unveil the mechanism by which the rice blast fungus Magnaporthe oryzae avoids T6P accumulation and the genetic and physiological adjustments it undergoes to self-adjust the metabolite level when it is unavoidably accumulated. We found that T6P accumulation leads to defects in fugal development and pathogenicity. The accumulated T6P impairs cell wall assembly by disrupting actin organization. The disorganization of actin impairs the distribution of chitin synthases, thereby disrupting cell wall polymer distribution. Additionally, accumulation of T6P compromise energy metabolism. M. oryzae was able to overcome the effects of T6P accumulation by self-mutation of its MoTPS3 gene at two different mutation sites. We further show that mutation of MoTPS3 suppresses MoTps1 activity to reduce the intracellular level of T6P and partially restore ΔMotps2 defects. Overall, our results provide insights into the cytotoxicity effects of T6P accumulation and uncover a spontaneous mutation strategy to rebalance accumulated T6P in M. oryzae. IMPORTANCE M. oryzae, the causative agent of the rice blast disease, threatens rice production worldwide. Our results revealed that T6P accumulation, caused by the disruption of MoTPS2, has toxic effects on fugal development and pathogenesis in M. oryzae. The accumulated T6P impairs the distribution of cell wall polymers via actin organization and therefore disrupts cell wall structure. M. oryzae uses a spontaneous mutation to restore T6P cytotoxicity. Seven spontaneous mutation sites were found, and a mutation in MoTPS3 was further identified. The spontaneous mutation in MoTPS3 can partially rescue ΔMotps2 defects by suppressing MoTps1 activity to alleviate T6P cytotoxicity. This study provides clear evidence for better understanding of T6P cytotoxicity and how the fungus protects itself from T6P’s toxic effects when it has accumulated to severely high levels.

The odor compound from Periploca sepium Bunge, 2-hydroxy-4-methoxy-benzaldehyde (HMB), is an allelochemical agent and is one of the least investigated isomers of vanillin. In this study, we used label-free quantitative proteomics analysis technology to investigate the effect of HMB on the protein expression of Humulus scandens (Lour.) Merr. leaves in July 2019 on Guiyang. A total of 269 proteins of 624 identified proteins were differentially expressed, among which 21.18% of the proteins were up-regulated and 32.71% down-regulated. These proteins were classified into 11 cell components and more than 20% of differentially expressed proteins were located in cell membrane and chloroplast. Functional classification analysis showed that 12 molecular functions were altered upon HMB treatment, and the ratio of catalytic activity was the highest (19.53%). At least 12 biological functions were affected, which involved small molecule metabolic processes, organic substance metabolic processes, gene expression, and photosynthesis. Our data provide resources and insights into the biochemical mechanism by which HMB kills weeds.

To solve the problems of data loss and unequal interval of momentum wheel (MW) speed during a satellite stable operation, this paper presents a multidimensional AR model. A Lagrange interpolation method is used to convert measurements to equal interval data, and the FFT algorithm is adopted to calculate the period of MW speed variation. The long data sequence is converted into multidimensional time series, based on the equal interval data and the period. A multidimensional AR model is established, and the least square method is used to estimate the model parameters. The future data trend is predicted by the proposed model. Simulation results show that the prediction algorithm can achieve the across cycle prediction of the MW speed data.

Tea green leafhopper [Empoasca (Matsumurasca) onukii Matsuda] is one of the most devastating pests of tea plants (Camellia sinensis), greatly impacting tea yield and quality. A thorough understanding of the interactions between the tea green leafhopper and the tea plant would facilitate a better pest management. To gain more insights into the molecular and biochemical mechanisms behind their interactions, a combined analysis of the global transcriptome and metabolome reconfiguration of the tea plant challenged with tea green leafhoppers was performed for the first time, complemented with phytohormone analysis. Non-targeted metabolomics analysis by ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF MS), together with quantifications by ultra-performance liquid chromatography triple quadrupole mass spectrometry (UPLC-QqQ MS), revealed a marked accumulation of various flavonoid compounds and glycosidically bound volatiles but a great reduction in the level of amino acids and glutathione upon leaf herbivory. RNA-Seq data analysis showed a clear modulation of processes related to plant defense. Genes pertaining to the biosynthesis of phenylpropanoids and flavonoids, plant-pathogen interactions, and the biosynthesis of cuticle wax were significantly up-regulated. In particular, the transcript level for a CER1 homolog involved in cuticular wax alkane formation was most drastically elevated and an increase in C29 alkane levels in tea leaf waxes was observed. The tea green leafhopper attack triggered a significant increase in salicylic acid (SA) and a minor increase in jasmonic acid (JA) in infested tea leaves. Moreover, transcription factors (TFs) constitute a large portion of differentially expressed genes, with several TFs families likely involved in SA and JA signaling being significantly induced by tea green leafhopper feeding. This study presents a valuable resource for uncovering insect-induced genes and metabolites, which can potentially be used to enhance insect resistance in tea plants.

Bladder cancer is the most common malignant tumor of the urinary system, and it has high incidence, high degree of malignancy, and easy recurrence after surgery. The etiology and pathogenesis of bladder cancer are not fully understood, but more and more studies have shown that its development may be regulated by some core molecules. To identify key molecules in bladder cancer, we constructed a three-layer network by merging lncRNA-miRNA regulatory network, miRNA-mRNA regulatory network, and lncRNA-mRNA coexpression network, and further analyzed the topology attributes of the network including the degree, betweenness centrality and closeness centrality of nodes. We found that miRNA-93 and miRNA-195 are controllers for a three-layer network and regulators of numerous target genes associated with bladder cancer. Functional enrichment analysis of their target mRNAs revealed that miRNA-93 and miRNA-195 may be closely related to bladder cancer by disturbing the homeostasis of the cell cycle or HTLV-I infection. In addition, since E2F1 and E2F2 are enriched in various KEGG signaling pathways, we conclude that they are important target genes of miRNA-93, and participate in the apoptotic process by forming a complex with a certain protein or transcription factor activity, sequence-specific DNA binding in bladder cancer. Similarly, AKT3 is an important target gene of miRNA-195, its expression is associated with PI3K-Akt-mTOR signaling pathway and AMPK-mTOR signaling pathway. Therefore, we speculate that AKT3 may participate in proliferation and apoptosis of bladder cancer cells through these pathways, and ultimately affect the biological behavior of tumor cells. Furthermore, through survival analysis, we found that miRNA-195 and miRNA-93 are associated with poor prognosis of bladder cancer. And the Kaplan-Meier curve showed that 24 mRNAs and nine lncRNAs are closely related to overall survival of bladder cancer.

Tea plants produce extremely diverse and abundant specialized metabolites, the types and levels of which are developmentally and environmentally regulated. However, little is known about how developmental cues affect the synthesis of many of these molecules. In this study, we conducted a comparative profiling of specialized metabolites from six different tissues in a premium oolong tea cultivar, Tieguanyin, which is gaining worldwide popularity due to its uniquely rich flavors and health benefits. UPLC-QTOF MS combined with multivariate analyses tentatively identified 68 metabolites belonging to 11 metabolite classes, which exhibited sharp variations among tissues. Several metabolite classes, such as flavonoids, alkaloids, and hydroxycinnamic acid amides were detected predominantly in certain plant tissues. In particular, tricoumaroyl spermidine and dicoumaroyl putrescine were discovered as unique tea flower metabolites. This study offers novel insights into tissue-specific specialized metabolism in Tieguanyin, which provides a good reference point to explore gene-metabolite relationships in this cultivar.

Wuyi Rock tea, well-recognized for rich flavor and long-lasting fragrance, is a premium subcategory of oolong tea mainly produced in Wuyi Mountain and nearby regions of China. The quality of tea is mainly determined by the chemical constituents in the tea leaves. However, this remains underexplored for Wuyi Rock tea cultivars. In this study, we investigated the leaf metabolite profiles of 14 major Wuyi Rock tea cultivars grown in the same producing region using UPLC-QTOF MS and UPLC-QqQ MS with data processing via principal component analysis and cluster analysis. Relative quantitation of 49 major metabolites including flavan-3-ols, proanthocyanidins, flavonol glycosides, flavone glycosides, flavonone glycosides, phenolic acid derivatives, hydrolysable tannins, alkaloids and amino acids revealed clear variations between tea cultivars. In particular, catechins, kaempferol and quercetin derivatives were key metabolites responsible for cultivar discrimination. Information on the varietal differences in the levels of bioactive/functional metabolites, such as methylated catechins, flavonol glycosides and theanine, offers valuable insights to further explore the nutritional values and sensory qualities of Wuyi Rock tea. It also provides potential markers for tea plant fingerprinting and cultivar identification.