Peroxynitrite anion(ONOO-),which is originated from the reaction of nitric oxide(NO)and superoxide anion(O2-),plays a pivotal role in immune defense and signal regulation.Excessive levels of ONOO-may induce the occurrence of various diseases such as Alzheimer's disease,inflammation,cardiovascular disease and cancer,etc.Existing detection methods for ONOO-have limitations such as complexity,time consumption,and low cell biocompatibility.In this study,a novel fluorescent probe QFPD was developed using quinoline and diphenylphosphinamide as fluorescent keleton and recognition group,respectively.The strong oxidizing property of ONOO-triggerd the cleavage of phosphoramide bond,leading to fluorescence quenching and a visible color change of the solution from yellow to purple,thereby enabling"ON-OFF"type recognition of ONOO-.QFPD exhibited excellent characteristics including good selectivity and high sensitivity in fluorescence detection(Limit of detection of 1.37 μmol/L),large Stokes shift(130 nm),rapid response(10 min),and strong anti-interference ability.Additionally,QFPD demonstrated good biocompatibility and could realize real-time dynamic monitoring of endogenous ONOO-.Furthermore,QFPD was successfully applied to environmental toxicology research by visualizing the oxidative stress effects induced by microplastics polymethyl methacrylate(PMMA)and Hg2+exposure,which might be a novel tool for the mechanism research on oxidative stress associated with microplastic pollution and heavy metal exposure.

PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

(+)-Borneol, the main component of "Natural Borneol" in the Chinese Pharmacopoeia, is a high-end spice and precious medicine. Plant extraction cannot meet the increasing demand for (+)-borneol, while microbial biosynthesis offers a sustainable supply route. However, its production was extremely low compared with other monoterpenes, even with extensively optimizing the mevalonate pathway. We found that the key challenge is the complex and unusual dephosphorylation reaction of bornyl diphosphate (BPP), which suffers the side-reaction and the competition from the cellular dephosphorylation process, especially lipid metabolism, thus limiting (+)-borneol synthesis. Here, we systematically optimized the dephosphorylation process by identifying, characterizing phosphatases, and balancing cellular dephosphorylation metabolism. For the first time, we identified two endogenous phosphatases and seven heterologous phosphatases, which significantly increased (+)-borneol production by up to 152%. By engineering BPP dephosphorylation and optimizing the MVA pathway, the production of (+)-borneol was increased by 33.8-fold, which enabled the production of 753 mg/L under fed-batch fermentation in shake flasks, so far the highest reported in the literature. This study showed that rewiring dephosphorylation metabolism was essential for high-level production of (+)-borneol in Saccharomyces cerevisiae, and balancing cellular dephosphorylation is also helpful for efficient biosynthesis of other terpenoids since all whose biosynthesis involves the dephosphorylation procedure.

Mechanical pain is one of the most common causes of clinical pain, but there remains a lack of effective treatment for debilitating mechanical and chronic forms of neuropathic pain. Recently, neurotoxin GsMTx4, a selective mechanosensitive (MS) channel inhibitor, has been found to be effective, while the underlying mechanism remains elusive. Here, with multiple rodent pain models, we demonstrated that a GsMTx4-based 17-residue peptide, which we call P10581, was able to reduce mechanical hyperalgesia and neuropathic pain. The analgesic effects of P10581 can be as strong as morphine but is not toxic in animal models. The anti-hyperalgesic effect of the peptide was resistant to naloxone (an μ-opioid receptor antagonist) and showed no side effects of morphine, including tolerance, motor impairment, and conditioned place preference. Pharmacological inhibition of TRPV4 by P10581 in a heterogeneous expression system, combined with the use of Trpv4 knockout mice indicates that TRPV4 channels may act as the potential target for the analgesic effect of P10581. Our study identified a potential drug for curing mechanical pain and exposed its mechanism.

Objective To systematically characterizes the temporal changes in urokinase-type plasminogen activator(uPA)over the course of neoplastic progression using a mouse oral squamous cell carcinoma(OSCC)model induced by 4-nitroquinoline-1-oxide(4-NQO).Methods A total of 65 wild-type C57BL/6 mice of 5 weeks old were randomly assigned to two groups,a 4-NQO group(n=50),which received daily administration of 100 μg/mL 4-NQO in drinking water,and a control group(n=15),which received sterile water.At 12,16,20,22,and 24 weeks,10 mice from the 4-NQO group and 3 from the control group were randomly selected,weighed,and sacrificed.Tongue tissues were collected for hematoxylin-eosin(HE)staining to preliminarily assess OSCC development,and for immunofluorescence staining and quantitative real-time PCR to evaluate dynamic uPA expression in tongue tissues during OSCC progression.Results After 16 weeks of exposure,4-NQO-treated mice exhibited significantly lower body mass compared with that of the controls(P<0.05)and the weight loss became increasingly more pronounced over time.Histopathological changes in tongue tissues progressed in a clearly time-dependent manner—hyperplasia and mild dysplasia emerged at week 12,while moderate-to-severe dysplasia and carcinoma were observed by week 22,yielding a tumorigenic rate of 25%,which escalated to 70%by week 24.Immunofluorescence and qPCR analyses demonstrated a pronounced,progressive up-regulation of uPA expression in lesional tissues as OSCC progressed(P<0.000 1).Conclusion This study not only confirmed the uniqueness of the 4-NQO model in OSCC research,but also revealed the changes in uPA during tumor invasion.These findings provide a theoretical foundation for the development of early diagnosis and precision treatment strategies,holding significant potential clinical value and research importance for improving patient prognosis.

Objective To investigate plasma protein expression changes in heatstroke patients using proteomics technology and to identify reliable prognostic biomarkers.Methods A retrospective analysis was conducted on 20 heatstroke patients hospitalized at the 908th Hospital of the Chinese PLA Joint Logistics Support Force from July 2022 to February 2024.Patients were divided into survival(n=16)and death groups(n=4)based on 28-day outcomes.Fasting venous blood samples were collected from both groups for proteomic analysis.Liquid chromatography-mass spectrometry(LC-MS/MS)was used to identify and screen differentially expressed proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed.LASSO regression was applied to screen key prognostic biomarkers,and receiver operating characteristic(ROC)curve analysis was used to evaluate their predictive value.Results A total of 27 upregulated and 90 downregulated proteins were identified between the two groups.These proteins were primarily involved in biological processes such as immune responses,complement activation,and metabolic processes.LASSO regression analysis indicated that actin-related protein 2(ARP2),cysteine-rich scavenger receptor type 1 M130(CD163),and catalase(CAT)could serve as effective biomarkers for evaluating heatstroke prognosis.ROC curve analysis demonstrated that ARP2 had higher diagnostic efficacy(AUC=0.98,sensitivity=0.80,specificity=1.00)compared to CD163(AUC=0.94,sensitivity=0.76,specificity=1.00),CAT(AUC=0.96,sensitivity=0.67,specificity=1.00),and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(AUC=0.79,sensitivity=0.44,specificity=1.00).Conclusion Elevated plasma ARP2 level has good clinical value for predicting poor prognosis in heatstroke patients.

Objective To investigate the effects and mechanisms of ubiquitin-associated domain-containing protein 2(UBAC2)mediated by m6A methylation modification on the invasion and migration abilities of colorectal cancer cells.Methods The GEPIA2.0 database was utilized to analyze the expression differences of UBAC2 mRNA between colorectal cancer tissues and adjacent normal tissues,as well as its expression in colorectal cancer tissues at different stages.The correlation between Wilms tumor 1-associated protein(WTAP)and UBAC2 expression was analyzed.The Kaplan-Meier plotter online tool was applied to analyze the correlation between UBAC2 and the overall survival rate of colorectal cancer patients.The RMVar and SRAMP databases were employed to predict potential m6A methylation modification sites in the UBAC2 gene.Quantitative real-time PCR(qRT-PCR)and Western blotting were performed to detect the expression levels of UBAC2 mRNA and protein in colorectal cancer cell lines.For UBAC2 knockdown experiments,SW480 cells were divided into control group(no treatment),sh-NC group(transfected with sh-NC negative control plasmid),and sh-UBAC2 group(transfected with sh-UBAC2 plasmid).For WTAP knockdown experiments,groups included control group(no treatment),si-NC group(transfected with negative control siRNA),and si-WTAP group(transfected with WTAP-targeting siRNA).For UBAC2 overexpression experiments,groups were control group(no treatment),si-WTAP group(transfected with pcDNA3.1 empty plasmid),and si-WTAP+OE-UBAC2 group(transfected with UBAC2 overexpression plasmid pcDNA3.1-UBAC2).Western blotting was used to detect the protein expression levels of UBAC2,WTAP,E-cadherin,N-cadherin,and Vimentin;qRT-PCR was applied to detect the expression level of UBAC2 mRNA;Transwell assays were conducted to assess cell invasion and migration abilities.MeRIP-qPCR was employed to detect the m6A methylation modification of UBAC2 mRNA;RIP-qPCR experiments were conducted to verify the binding of WTAP to UBAC2 mRNA.In nude mouse colorectal cancer lung metastasis experiments,groups included LV-sh-NC group(tail vein injection of SW480 cells stably infected with LV-sh-NC)and LV-sh-UBAC2 group(tail vein injection of SW480 cells stably infected with LV-sh-UBAC2).After 42 d of tumor-implantation in nude mice,lung tissues were harvested:the number of lung nodules observed by hematoxylin/eosin(HE)staining,and the expression level of Luc2 mRNA detected by qRT-PCR.Results GEPIA2.0 database analysis revealed that the expression level of UBAC2 mRNA in colorectal cancer tissues was significantly higher than that in adjacent normal tissues,and it gradually increased with the progression of tumor stage(P<0.05).The expression levels of UBAC2 mRNA and protein in multiple colorectal cancer cell lines were significantly higher than those in normal colonic epithelial cells(P<0.05).Compared with sh-NC group,sh-UBAC2 group showed significantly increased E-cadherin protein expression,significantly decreased N-cadherin and Vimentin protein expression,and significantly reduced number of invaded and migrated SW480 cells(P<0.05).GEPIA2.0 database analysis results indicated a positive correlation between WTAP and UBAC2 expression(r=0.24,P<0.001).Compared with si-NC group,si-WTAP group showed significantly decreased expression levels of WTAP and UBAC2 mRNA and protein in SW480 cells(P<0.05).MeRIP-qPCR results demonstrated that the m6A modification level of UBAC2 mRNA in si-WTAP group was significantly lower than that in si-NC group(P<0.05).RIP-qPCR further confirmed that WTAP could bind to UBAC2 mRNA.Compared with control group,si-WTAP group showed significantly increased E-cadherin protein expression and significantly decreased N-cadherin and Vimentin protein expression in SW480 cells(P<0.05);compared with si-WTAP group,si-WTAP+OE-UBAC2 group showed significantly decreased E-cadherin protein expression and significantly increased N-cadherin and Vimentin protein expression in SW480 cells(P<0.05).The number of lung nodules in LV-sh-UBAC2 group was significantly fewer than that in LV-sh-NC group,and the expression level of Luc2 mRNA in lung tissues was significantly lower than that in LV-sh-NC group(P<0.05).Conclusion UBAC2 mediated by m6A methylation modification can regulate the epithelial-mesenchymal transition(EMT)process in colorectal cancer cells,thereby affecting the invasion and migration abilities of colorectal cancer cells.

Dysregulated RNA splicing is a well-recognized characteristic of colorectal cancer (CRC); however, its intricacies remain obscure, partly due to challenges in profiling full-length transcript variants at the single-cell level. Here, we employ high-depth long-read scRNA-seq to define the full-length transcriptome of colorectal epithelial cells in 12 CRC patients, revealing extensive isoform diversities and splicing alterations. Cancer cells exhibited increased transcript complexity, with widespread 3'-UTR shortening and reduced intron retention. Distinct splicing regulation patterns were observed between intrinsic-consensus molecular subtypes (iCMS), with iCMS3 displaying even higher splicing factor activities and more pronounced 3'-UTR shortening. Furthermore, we revealed substantial shifts in isoform usage that result in alterations of protein sequences from the same gene with distinct carcinogenic effects during tumorigenesis of CRC. Allele-specific expression analysis revealed dominant mutant allele expression in key oncogenes and tumor suppressors. Moreover, mutated PPIG was linked to widespread splicing dysregulation, and functional validation experiments confirmed its critical role in modulating RNA splicing and tumor-associated processes. Our findings highlight the transcriptomic plasticity in CRC and suggest novel candidate targets for splicing-based therapeutic strategies.
Humans ; Colorectal Neoplasms/metabolism* ; RNA Isoforms/metabolism* ; Single-Cell Analysis ; RNA Splicing ; Gene Expression Regulation, Neoplastic ; RNA, Neoplasm/metabolism* ; Transcriptome

Objective To understand the current situation of human brain donation in Hebei Province by analyzing the basic information of Human Brain Bank samples of Hebei Medical University in order to provide basic data support for subsequent scientific research.Methods The samples collected from the Human Brain Bank of Hebei Medical University were analyzed(from December 2019 to February 2024),including gender,age,cause of death,as well as quality control data such as postmortem delay time,pH value of cerebrospinal fluid and and RNA integrity number and result of neuropathological diagnosis.Results Until February 2024,30 human brain samples were collected and stored in the Human Brain Bank of Hebei Medical University,with a male to female ratio of 9∶1.Donors over 70 years old accounted for 53％.Cardiovascular and cerebrovascular diseases(36.67％)and nervous system diseases(23.33％)accounted for a high proportion of the death causes.The location of brain tissue donors in Shijiazhuang accounted for 90％donations,and the others were from outside the city.The postmortem delay time was relatively short,90％within 12 hours and 10％more than 12 hours.69.23％of the brain samples had RNA integrity values greater than 6.Cerebrospinal fluid pH values ranged from 5.8 to 7.5,with an average value of 6.60±0.45.Brain weights ranged from 906-1496 g,with an average value of(1210.78±197.84)g.Three apolipoprotein E(APOE)alleles were detected including five genotypes(ε2/ε3,ε2/ε4,ε3/ε3,ε3/ε4,ε4/ε4).Eleven staining methods related to neuropathological diagnosis had been established and used.A total of 12 cases were diagnosed as neurodegenerative diseases(including Alzheimer's disease,Parkinson's disease,multiple system atrophy,corticobasal degeneration and progressive supranuclear palsy,etc.),accounting for 40％donated brains.The comorbidity rate of samples over 80 years old was 100％.Conclusion The summary and analyses of the data of brain donors in the Human Brain Bank of Hebei Medical University can reflect the current situation of the construction and operation of the brain bank in Hebei Province,and it can also be more targeted to understand and identify potential donors.Our information can provide reference for the construction of brain bank and provides more reliable materials and data support for scientific research.

Objective To develop a pressure swing adsorption oxygen generating device that is workable at altitudes of 0 to 7000 meters.Methods The three-bed molecular sieve oxygen production process was adopted.The switching time of air circuit solenoid valve and the rotation speed of the compression pump were taken as controllable variables.The performance of the oxygen generating device was tested in a normal atmospheric environment and a low-pressure environment corresponding to altitudes of 0 to 7000 meters.The optimal values of controllable oxygen generating parameters corresponding to 10 low-pressure environments(89.9,79.7,69.7,65.0,62.0,57.7,53.8,47.6,43.0,41.0 kPa)were obtained.Results The oxygen concentration could reach 94％,oxygen flow rate was 9 L/min and oxygen outlet pressure stood at 44 kPa in a normal atmospheric environment(altitude 416 meters),compared with 94％,6.3 L/min and 30 kPa in a low-pressure environment of 41 kPa(altitude 7000 meters).Conclusion The oxygen generating device can meet the oxygen needs of two persons within the altitude range of 0 to 7000 meters.