Effect of enhanced recovery after surgery on postoperative outcomes in children undergoing robot-assisted laparoscopic pyeloplasty.

OBJECTIVE: To assess the effects of the enhanced recovery after surgery (ERAS) perioperative protocol on the outcomes of robot-assisted laparoscopic pyeloplasty (RALP) in pediatric patients. METHODS: A total of 57 children who underwent RALP at our center between November 2021 and December 2023 were included in the study. They were randomly assigned to either the ERAS (intervention) group or the non-ERAS (control) group. The analysis focused on comparing the length of hospital stay, recovery of gastrointestinal function, incidence of complications within 90 days post-surgery, postoperative extubation time (urinary tube and double-J tube), postoperative auxiliary examinations, and readmission rates within 30 days. Additionally, the patients were divided into two age groups: <4 years old and ≥4 years old, to assess pain severity. RESULTS: There were no significant differences in preoperative general information, preoperative auxiliary examination findings, or intraoperative conditions between the ERAS and non-ERAS groups. The ERAS group had a significantly shorter postoperative hospital stay compared to the non-ERAS group. Furthermore, the time to the first postoperative bowel movement was shorter, and the incidence of postoperative complications was significantly lower in the ERAS group. Among children <4 years old, there was no significant difference in pain severity between the two groups. However, in children ≥4 years old, the ERAS group experienced significantly lower pain levels at 6 and 24 h post-surgery compared to the non-ERAS group. DISCUSSION: The findings of this prospective randomized controlled trial should determine if ERAS is superior to traditional perioperative management in children undergoing RALP, particularly regarding postoperative hospital stay, intestinal function recovery, pain response, and complication rates. We anticipate that our data will offer valuable clinical insights and guidance for the implementation of ERAS in pediatric robotic surgery for urinary diseases. CONCLUSION: The ERAS protocol can reduce the length of hospital stay, aid in the recovery of gastrointestinal function, and lower postoperative complication rates. It also has the potential to lessen postoperative pain to varying degrees in certain pediatric patients. ERAS is a safe and effective protocol for pediatric patients undergoing RALP.

SCMeTA: a pipeline for single-cell metabolic analysis data processing.

SUMMARY: To address the challenges in single-cell metabolomics (SCM) research, we have developed an open-source Python-based modular library, named SCMeTA, for SCM data processing. We designed standardized pipeline and inter-container communication format and have developed modular components to adapt to the diverse needs of SCM studies. The validation was carried out on multiple SCM experiment data. The results demonstrated significant improvements in batch effects, accuracy of results, metabolic extraction rate, cell matching rate, as well as processing speed. This library is of great significance in advancing the practical application of SCM analysis and makes a foundation for wide-scale adoption in biological studies. AVAILABILITY AND IMPLEMENTATION: SCMeTA is freely available on https://github.com/SCMeTA/SCMeTA and https://doi.org/10.5281/zenodo.13569643.

Diagnostic value of the Sirtuins family in acute rejection of kidney transplantation assessed on the basis of transcriptomics and animal experiments.

BACKGROUND: The Sirtuins (SIRT) family plays a key role in the diagnosis and treatment of many renal diseases, but no studies have been reported in acute rejection of kidney transplantation. The aim of this study was to explore the diagnostic value of SIRT family change characteristics in acute rejection of kidney transplantation. METHODS: We first explored the SIRT family expression profile in renal tissues using the HPA database; subsequently, we explored the potential biological functions and mechanistic changes during acute rejection of kidney transplantation by GSEA enrichment analysis. The Cibersort algorithm specifies the level of immune cell infiltration and explores the correlation between the SIRT family and immune cells using correlation analysis; Next, we constructed a diagnostic model using "Logistic regression analysis" and "Nomogram model", and evaluated the diagnostic model using calibration curves and ROC curves, and the decision curve (DCA) was used to evaluate the clinical diagnostic value of SIRT family changes; Finally, we constructed a model of acute rejection of rat kidney transplantation, and assessed rat kidney function by detecting the levels of urea nitrogen and creatinine in serum. Meanwhile, the expression level of SIRT family in kidney tissues was initially verified by transcriptome sequencing and RT-PCR. RESULTS: We found that all seven SIRT family members were located and expressed in renal tissues. The results of enrichment analysis revealed that a large number of immune-related biological functions and pathways are activated during acute rejection of kidney transplantation, the difference was statistically significant (p < 0.05). The Cibersort algorithm revealed significant changes in the level of infiltration of 10 immune cells (p < 0.05), while correlation analysis revealed a strong link between the SIRT family and immune cells (p < 0.05). We constructed a diagnostic model for acute rejection using seven SIRT families, and the ROC curves(AUC = 0.71)and calibration curves proved their good diagnostic value, and the DCA curves also proved the role of SIRT families in clinical decision-making. Next, we again demonstrated the good diagnostic performance of the SIRT family in ABMR and TCMR, respectively(ROC curves:AUC = 0.64，AUC = 0.81). Finally, in a rat model of acute rejection of kidney transplantation, we found that renal function (BUN and creatinine) was significantly impaired in rats in the Allo group compared to rats in the Syn group (P < 0.05). Meanwhile, by transcriptome analysis and RT-PCR assay, we found that, except for SIRT1, the remaining SIRT family members were significantly changed in kidney tissues (P < 0.05). CONCLUSION: The SIRT family has significant changes during acute rejection in kidney transplantation, and the SIRT family may be able to serve as a potential therapeutic target for alleviating acute rejection in kidney transplantation.

Diagnostic value of selenoprotein changes in renal tissues for acute rejection of kidney transplantation as revealed by transcriptomics.

BACKGROUND: There seems to be a close link between the changing levels of selenoproteins, which are important for maintaining redox homeostasis in the body, and acute rejection of kidney transplants. The aim of this study was to explore the diagnostic value of selenoprotein change characteristics in renal tissues for acute rejection of kidney transplantation. METHODS: We first explored the potential biological functions of 25 selenoproteins in the human body by enrichment analysis and used the HPA database to clarify the expression levels of selenoproteins in kidney tissues; We then constructed a diagnostic model using "Logistic regression analysis" and "Nomogram model"; Calibration curves and ROC curves were used to evaluate the diagnostic models, and clinical decision curves (DCA) were used to assess the diagnostic value of selenoprotein changes to the clinic; Single-gene GSEA enrichment analysis to further explore the potential regulatory mechanisms of selenoproteins; The Cibersort algorithm explores the level of immune cell infiltration and uses correlation analysis to clarify the correlation between selenoproteins and immune cells; We further assessed the diagnostic value of selenoproteins in kidney transplantation ABMR and TCMR, respectively. Finally, we validated the expression level of selenoproteins in kidney tissues by constructing a rat model of acute rejection of kidney transplantation using transcriptome sequencing. RESULTS: Our enrichment analysis revealed that selenoproteins are mainly closely associated with biological functions such as oxidative stress, inflammation, and immune regulation (P<0.05); The HPA database suggests that a total of 23 selenoproteins can be expressed in kidney tissue. We constructed a diagnostic model using these 23 selenoproteins, and both calibration curves and ROC curves proved that their change levels have good diagnostic value for acute rejection of kidney transplantation, and DCA curves proved the role of selenoproteins in clinical decision-making; Single-gene GSEA enrichment analysis revealed that selenoproteins are closely associated with immune regulation-related pathways (P<0.05); The Cibersort algorithm identified 10 immune cell infiltration levels that were significantly altered during acute rejection of kidney transplantation (P<0.05), while correlation analyses indicated that selenoproteins correlate with multiple immune cell infiltrations; In ABMR and TCMR, we again verified the diagnostic value of selenoprotein changes in acute rejection of kidney transplantation. Finally, we found significant differences in the expression levels of nine selenoproteins in a rat model of acute rejection of kidney transplantation (P<0.05). CONCLUSION: Changes in selenoproteins in renal tissues have good diagnostic value for acute rejection of kidneyl transplantation, and selenoproteins may be able to be a potential target for alleviating acute rejection of kidney transplantation.

High-Throughput Metabolite Analysis of Unicellular Microalgae by Orthogonal Hybrid Ionization Label-Free Mass Cytometry.

Microalgae metabolite analysis is fundamental for the rational design of metabolic engineering strategies for the biosynthesis of high-value products. Mass spectrometry (MS) has been utilized for single-cell microalgae analysis. However, limitations in the detection throughput and polarities of detectable substances make it difficult to realize high-throughput screening of high-performance microalgae. Herein, a plasma-assisted label-free mass cytometry, named as PACyESI-MS, was proposed combining the advantages of orthogonal hybrid ionization and high-throughput MS analysis, which realized rapid metabolite detection of single microalgae. The cell detection throughput of PACyESI-MS was up to 52 cells/min. Dozens of the critical primary and secondary metabolites within single microalgae were detected simultaneously, including pigments, lipids, and energy metabolites. Furthermore, metabolite changes of Chlamydomonas reinhardtii and Haematococcus pluvialis under nitrogen deficiency stress were studied. Discrimination of Chlamydomonas under different nutrient conditions was realized using single-cell metabolite profiles obtained by PACyESI-MS. The relationships between the accumulation of bioactive astaxanthin and changes in functional primary metabolites of Haematococcus were investigated. It was demonstrated that PACyESI-MS can detect the flexible change of metabolites in single microalgae cells under different nutritional conditions and during the synthesis of high-value products, which is expected to become an important tool for the design of metabolic engineering-based high-performance microalgae factories.

Non-invasive biomarkers of acute rejection in pediatric kidney transplantation: New targets and strategies.

Kidney transplantation is the preferred treatment for pediatric end-stage renal disease. However, pediatric recipients face unique challenges due to their prolonged need for kidney function to accommodate growth and development. The continual changes in the immune microenvironment during childhood development and the heightened risk of complications from long-term use of immunosuppressive drugs. The overwhelming majority of children may require more than one kidney transplant in their lifetime. Acute rejection (AR) stands as the primary cause of kidney transplant failure in children. While pathologic biopsy remains the "gold standard" for diagnosing renal rejection, its invasive nature raises concerns regarding potential functional impairment and the psychological impact on children due to repeated procedures. In this review, we outline the current research status of novel biomarkers associated with AR in urine and blood after pediatric kidney transplantation. These biomarkers exhibit superior diagnostic and prognostic performance compared to conventional ones, with the added advantages of being less invasive and highly reproducible for long-term graft monitoring. We also integrate the limitations of these novel biomarkers and propose a refined monitoring model to optimize the management of AR in pediatric kidney transplantation.

Influence of Addition of Ti Particles and Processing Condition on Microstructure and Properties of Selectively Laser-Melted Invar 36 Alloy.

Invar 36 exhibits extremely low thermal expansion coefficients at low temperatures but also low yield strength (YS), which greatly restricts its application as a structural material. In this study, a small fraction of pure titanium powder particles was added into Invar 36 by powder mixing and selective laser melting (SLM) with the aim of further improving tensile strengths of Invar 36. It was found that increased laser power led to increased grain size and to slight decrease in YS in Invar 36. During SLM, amorphous SiO2 nanoparticles were formed and homogeneously distributed in Invar 36. With the addition of 2 at% Ti powder particles, grains became larger and the crystallographic texture along <001> and <111> increased to some extent. Moreover, the bottom of solidified melt pools was segregated with Ti while the matrix was homogeneously decorated by a great number of nano-sized spherical Ti2O3 particles. These particles were found to have effectively impeded dislocation motion during plastic deformation, leading to significant improvement in 0.2% YS and ultimate tensile strength. The above precipitation led to consumption of a small amount of Ni from the matrix, which caused a minor compromise in thermal expansion properties. Nonetheless, the newly synthesized Invar 36-Ti alloy still exhibits low thermal expansion coefficients at low temperatures and remarkably enhanced tensile strengths.

Single-Cell Unsaturated Lipid Profiling for Studying Chemoresistance Heterogeneity of Triple-Negative Breast Cancer Cells.

Chemoresistance to triple-negative breast cancer (TNBC) is a critical issue in clinical practice. Lipid metabolism takes a unique role in breast cancer cells; especially, unsaturated lipids involving cell membrane fluidity and peroxidation are highly remarked. At present, for the lack of a high-resolution molecular recognition platform at the single-cell level, it is still hard to systematically study chemoresistance heterogeneity based on lipid unsaturation proportion. By designing a single-cell mass spectrometry workflow based on CyESI-MS, we profiled the unsaturated lipids of TNBC cells to evaluate lipidomic remodeling under platinum stress. Profiling revealed the heterogeneity of the polyunsaturated lipid proportion of TNBC cells under cisplatin treatment. A cluster of cells identified by polyunsaturated lipid accumulation was found to be involved in platinum sensitivity. Furthermore, we found that the chemoresistance of TNBC cells could be regulated by fatty acid supplementation, which determinates the composition of unsaturated lipids. These discoveries provide insights for monitoring and controlling cellular unsaturated lipid proportions to overcome chemoresistance in breast cancer.

Genome-wide DNA methylation of lesional and peri-lesional skin in vitiligo: a comparative and integrated analysis of multi-omics in Chinese population.

Several studies have emphasized the role of DNA methylation in vitiligo. However, its profile in human skin of individuals with vitiligo remains unknown. Here, we aimed to study the DNA methylation profile of vitiligo using pairwise comparisons of lesions, peri-lesions, and healthy skin. We investigated DNA methylation levels in six lesional skin, six peri-lesional skin, and eight healthy skin samples using an Illumina 850 K methylation chip. We then integrated DNA methylation data with transcriptome data to identify differentially methylated and expressed genes (DMEGs) and analyzed their functional enrichment. Subsequently, we compared the methylation and transcriptome characteristics of all skin samples, and the related genes were further studied using scRNA-seq data. Finally, validation was performed using an external dataset. We observed more DNA hypomethylated sites in patients with vitiligo. Further integrated analysis identified 264 DMEGs that were mainly functionally enriched in cell division, pigmentation, circadian rhythm, fatty acid metabolism, peroxidase activity, synapse regulation, and extracellular matrix. In addition, in the peri-lesional skin, we found that methylation levels of 102 DMEGs differed prior to changes in their transcription levels and identified 16 key pre-DMEGs (ANLN, CDCA3, CENPA, DEPDC1, ECT2, DEPDC1B, HMMR, KIF18A, KIF18B, TTK, KIF23, DCT, EDNRB, MITF, OCA2, and TYRP1). Single-cell RNA analysis showed that these genes were associated with cycling keratinocytes and melanocytes. Further analysis of cellular communication indicated the involvement of the extracellular matrix. The expression of related genes was verified using an external dataset. To the best of our knowledge, this is the first study to report a comprehensive DNA methylation profile of clinical vitiligo and peri-lesional skin. These findings would contribute to future research on the pathogenesis of vitiligo and potential therapeutic strategies.

Single-cell metabolite profiling enables information-rich classification of lymphocyte types and subtypes.

Lymphocytes play crucial roles in the human immune system; however, detailed metabolite characteristics need to be further investigated. Herein, we propose a lymphocyte classification method based on metabolite profiling at the single-cell level. The percentages of different lymphocyte types were calculated with a low margin of error, confirming that the metabolites could serve as a basis for lymphocyte classification. Furthermore, we analyzed the CD4/CD8 ratio in human peripheral blood to verify the feasibility of this method for the classification of lymphocyte subtypes. The proposed method is expected to be a potential tool for the clinical diagnosis of lymphocyte-related diseases.

DNA methylation profiling and integrative multi-omics analysis of skin samples reveal important contribution of epigenetics and immune response in the pathogenesis of acne vulgaris.

The regulatory effect of DNA methylation on the pathogenesis of acne vulgaris is completely unknown. Herein we analyzed the DNA methylation profile in skin samples of acne vulgaris and further integrated it with gene expression profiles and single-cell RNA-sequencing data. Finally, 31,134 differentially methylated sites and 770 differentially methylated and expressed genes (DMEGs) were identified. The multi-omics analysis suggested the importance of DNA methylation in inflammation and immunity in acne. And DMEGs were verified in an external dataset and were closely related to early inflammatory acne. Additionally, we conducted experiments to verify the mRNA expression and DNA methylation level of DMEGs. This study supports the significant contribution of epigenetics to the pathogenesis of acne vulgaris and may provide new ideas for the molecular mechanisms of and potential therapeutic strategies for acne vulgaris.

Schisandrin B Inhibits Cell Viability and Malignant Progression of Melanoma Cells via Wnt/ß-catenin Signaling Pathway.

BACKGROUND: Melanoma is of great interest due to its aggressive behavior and less favorable prognosis. The need for the development of novel drugs for the treatment of melanoma is urgent. Considerable evidence indicated that Schisandrin B (Sch B), a bioactive compound extracted from Schisandra chinensis, has numerous anti-tumor properties in multiple malignant tumors. A few studies have reported the effect of Sch B on melanogenesis in the melanoma B16F10 cell line; however, the specific anti-tumor effects and mechanisms need to be further explored. OBJECTIVE: This study aimed to investigate the effects of Sch B on the cell viability, migration, invasion, and cell cycleblocking of melanoma cells and explore its potential anti-tumor mechanism in vitro and in vivo. METHODS: Melanoma cells (A375 and B16) were treated with different concentrations of Sch B (0, 20, 40, 60, or 80 µM), with dimethyl sulfoxide (DMSO) as control. The inhibitory effect of Sch B on A375 and B16 melanoma cells was verified by crystal violet assay and CCK8 assay. The flow cytometry was performed to observe cell cycle blocking. The effect of Sch B on the migration and invasion of melanoma cells was detected by wound healing assay and transwell assay, respectively. Western blot analysis was used to determine protein expression levels. The growth of the A375 melanoma xenograft-treated groups and immunohistochemical staining were conducted to assess the anti-tumor effect of Sch B in vivo. RESULTS: The crystal violet assay and CCK8 assay showed that Sch B significantly inhibited melanoma cell viability in a dose-dependent manner. Meanwhile, the flow cytometry analysis revealed that Sch B induced melanoma cell cycleblocking at the G1/S phase. In addition, the wound healing assay and transwell assay showed that Sch B inhibited the migration and invasion of melanoma cells. Furthermore, by establishing an animal model, we found that Sch B significantly inhibited the growth of melanoma in vivo. The potential mechanism could be that Sch B inhibited the activity of the Wnt/ß-catenin signaling pathway. CONCLUSION: These findings indicated that Sch B inhibits the cell viability and malignant progression of melanoma cells via the Wnt/ß-catenin pathway and induces cell cycle arrest. Our study suggests that Sch B has potential as a bioactive compound for the development of new drugs for melanoma.

Preparation of Stereo-Divergent Compounds from the Natural Product Drupacine Based on Complexity-to-Diversity Strategy.

The Complexity-to-Diversity (CtD) strategy was applied to synthesize a 23-member compound collection from the natural product drupacine, including 21 novel compounds. An unusual benzo [d] cyclopenta [b] azepin skeleton was constructed by Von Braun reaction to cleave C-N bond of drupacine. Moreover, compound 10 has potential cytotoxicity to human colon cancer cells with low toxicity to the normal human colon mucosal epithelial cell lines.

Effect of Microwave Vacuum Freeze-Drying Power on Emulsifying and Structure Properties of Egg White Protein.

The study investigated the effects of different microwave vacuum freeze-drying powers (100-500 W) on the emulsifying properties and structural characteristics of egg white protein, which is of great significance in enhancing the added value of EWP and promoting its application. Emulsification analysis revealed that the emulsification performance was significantly influenced by microwave power and reached its maximum at 300 W. Fourier-transform infrared spectroscopy (FT-IR) and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) analyses showed that microwave vacuum freeze-drying treatment altered the secondary structure of EWP without changing its peptide structure. Fluorescence measurements indicated that the maximum fluorescence emission intensity decreased, and the maximum emission wavelength shifted towards blue as the power increased. Particle size, zeta potential, scanning electron microscopy (SEM), and differential scanning calorimetry (DSC) analyses showed that the average particle size of EWP reached the minimum value of 1203.66 nm, the absolute value of zeta potential reached the maximum value of 41.35 mV, and the thermal stability was strongest, with a more uniform and loose structure observed at 300 W. Texture profile analysis (TPA) showed that appropriate power treatment significantly enhanced the chewiness and viscoelasticity of egg white protein. Therefore, appropriate power treatment could effectively improve the emulsifying properties and stability.

Research progress of glutathione peroxidase family (GPX) in redoxidation.

Maintaining the balance of a cell's redox function is key to determining cell fate. In the critical redox system of mammalian cells, glutathione peroxidase (GPX) is the most prominent family of proteins with a multifaceted function that affects almost all cellular processes. A total of eight members of the GPX family are currently found, namely GPX1-GPX8. They have long been used as antioxidant enzymes to play an important role in combating oxidative stress and maintaining redox balance. However, each member of the GPX family has a different mechanism of action and site of action in maintaining redox balance. GPX1-4 and GPX6 use selenocysteine as the active center to catalyze the reduction of H2O2 or organic hydroperoxides to water or corresponding alcohols, thereby reducing their toxicity and maintaining redox balance. In addition to reducing H2O2 and small molecule hydroperoxides, GPX4 is also capable of reducing complex lipid compounds. It is the only enzyme in the GPX family that directly reduces and destroys lipid hydroperoxides. The active sites of GPX5 and GPX7-GPX8 do not contain selenium cysteine (Secys), but instead, have cysteine residues (Cys) as their active sites. GPX5 is mainly expressed in epididymal tissue and plays a role in protecting sperm from oxidative stress. Both enzymes, GPX7 and GPX8, are located in the endoplasmic reticulum and are necessary enzymes involved in the oxidative folding of endoplasmic reticulum proteins, and GPX8 also plays an important role in the regulation of Ca2+ in the endoplasmic reticulum. With an in-depth understanding of the role of the GPX family members in health and disease development, redox balance has become the functional core of GPX family, in order to further clarify the expression and regulatory mechanism of each member in the redox process, we reviewed GPX family members separately.

The heterogeneity of oxidized lipids in individual tumor cells reveals NK cell-mediated cytotoxicity by label-free mass cytometry.

NK cell-mediated immunotherapy has received increasing attention in the past decade due to its efficacy and bio-safety. The composition and content of lipids in individual cells are closely related to NK cell-mediated cytotoxicity, especially polyunsaturated fatty acids (PUFA) which are oxidized during NK cell-mediated apoptosis. Here we investigated the changes of lipids in single HepG2 cells by label-free mass cytometry and obtained information on 53 lipids and 13 oxidized lipids after the interaction with NK92 MI cells. We found that the contents of lipids and oxidized lipids of HepG2 cells changed obviously during the NK cell-mediated apoptosis. The HepG2 cells could be classified into two phenotypes after co-culturing with NK92 MI cells based on the ratio of PC(38:6-2OH)/PC(38:6) in individual cells, which may serve as a feature to evaluate NK cell-mediated cytotoxicity. The present work used the lipids and oxidized lipids of individual cells to reveal the heterogeneity in NK cell-mediated apoptosis which would be a powerful method for evaluating the cytotoxicity of NK cells at the single-cell level.

Recent progress in mass spectrometry for single-cell metabolomics.

Metabolites are the end products of cellular vital activities and can reflect the state of cellular to a certain extent. Rapid change of metabolites and the low abundance of signature metabolites cause difficulties in single-cell detection, which is a great challenge in single-cell metabolomics analysis. Mass spectrometry (MS) is a powerful tool that uniquely suited to detect intracellular small-molecule metabolites and has shown good application in single-cell metabolite analysis. In this mini-review, we describe three types of emerging technologies for MS-based single-cell metabolic analysis in recent years, including nano-ESI-MS based single-cell metabolomics analysis, high-throughput analysis via flow cytometry, and cellular metabolic imaging analysis. These techniques provide a large amount of single-cell metabolic data, allowing the potential of MS in single-cell metabolic analysis is gradually being explored and is of great importance in disease and life science research.

Dynamic metabolic change of cancer cells induced by natural killer cells at the single-cell level studied by label-free mass cytometry.

Natural killer cells (NK cells) are important immune cells which have attracted increasing attention in cancer immunotherapy. Due to the heterogeneity of cells, individual cancer cells show different resistance to NK cytotoxicity, which has been revealed by flow cytometry. Here we used label-free mass cytometry (CyESI-MS) as a new tool to analyze the metabolites in Human Hepatocellular Carcinoma (HepG2) cells at the single-cell level after the interaction with different numbers of NK92 MI cells. A large amount of chemical information from individual HepG2 cells was obtained showing the process of cell apoptosis induced by NK cells. Nineteen metabolites which consecutively change during cell apoptosis were revealed by calculating their average relative intensity. Four metabolic pathways were impacted during cell apoptosis which hit 4 metabolites including glutathione (GSH), creatine, glutamic acid and taurine. We found that the HepG2 cells could be divided into two phenotypes after co-culturing with NK cells according to the bimodal distribution of concentration of these 4 metabolites. The correlation between metabolites and different apoptotic pathways in the early apoptosis cell group was established by the 4 metabolites at the single-cell level. This is a new idea of using single-cell specific metabolites to reveal the metabolic heterogeneity in cell apoptosis which would be a powerful means for evaluating the cytotoxicity of NK cells.

Rapid quantitative analysis of hormones in serum by multilayer paper spray MS: Free MS from HPLC.

Developing rapid and reliable method for simultaneous hormones quantitation is of great significant because of important roles of hormones in metabolism. However, current methods are faced with problems of low throughput or complicated operation procedure to remove matrices from serum samples in routine clinical diagnosis. In the present work, a multilayer PS-MS method was developed for rapid and simple detection of hormones. In the strategy, multilayer filter paper acted as the Liquid Chromatography in LC-MS/MS for separation of hormones and biological matrices. Qualitative and quantitative analysis of three hormones, testosterone (T), androsterone (ADT) and androstenedione (4-AD) were realized through MS/MS spectra. The method exhibited linearity in the range of 0.02-2 µg/L and the results of recovery and repeatability were satisfactory for standard samples and spiked serum. The time-cost of a whole detection process was less than 3 min. The established multilayer PS-MS realized rapid, simple and reliable quantitative analysis of various hormones and provided broad prospect for clinical analysis of small molecules in different biological samples. Moreover, it provides a novel MS approach with high through-put and free HPLC, meeting the requirements of point-of-care testing (POCT).