In this study,an ultraviolet(UV)/fluorescence dual-modal sensor was constructed by combining the catalytic properties of aldehyde dehydrogenase(ALDH)with the fluorescence inner filter effect of bovine serum albumin(BSA),realizing highly sensitive and highly selective detection of acetaldehyde in food.Acetaldehyde could react with oxidized coenzyme I(NAD+)to generate acetic acid and reduced coenzyme I(NADH)under catalytic condition by ALDH,and a quantitative relationship between acetaldehyde concentration and UV signal for UV detection based on the characteristic UV absorption peak of NADH at 340 nm was established.Meanwhile,an acetaldehyde detection channel based on fluorescence signal changes was built on the basis of the property that the fluorescence emission of BSA(as a fluorescent indicator)at 340 nm could be effectively quenched by the generated NADH,thus forming a″one-reaction dual-signal″detection mode.The experimental results showed that the acetaldehyde concentration in the range of 0.01?5.0 mg/L had a good linear relationship with both UV and fluorescence signals,and the limit of detection(LOD)was 0.003 mg/L for the UV mode and 0.005 mg/L for the fluorescence mode,and no significant fluctuations were observed when 50-fold concentrations of acetaldehyde analogs and common interfering substances were added.When the dual-modal sensor was applied to detection of acetaldehyde in food samples such as yogurt and wine,the relative error between its quantitative results and those of high-performance liquid chromatography(HPLC)was less than±4.0%.The dual-modal cross-validation strategy could improve the detection reliability through signal mutual verification,providing an innovative solution for the rapid detection of acetaldehyde contamination in food.

BACKGROUND AND OBJECTIVE: Patients with glioma experience a high symptom burden and have diverse palliative care needs. However, the assessment scales used in palliative care remain non-standardized and highly heterogeneous. To evaluate the application patterns of the current scales used in palliative care for glioma, we aim to identify gaps and assess the need for disease-specific scales in glioma palliative care. METHODS: We conducted a systematic search of five databases including PubMed, Web of Science, Medline, EMBASE, and CINAHL for quantitative studies that reported scale-based assessments in glioma palliative care. We extracted data on scale characteristics, domains, frequency, and psychometric properties. Quality assessments were performed using the Cochrane ROB 2.0 and ROBINS-I tools. RESULTS: Of the 3,405 records initially identified, 72 studies were included. These studies contained 75 distinct scales that were used 193 times. Mood (21.7%), quality of life (24.4%), and supportive care needs (5.2%) assessments were the most frequently assessed items, exceeding half of all scale applications. Among the various assessment dimensions, the Distress Thermometer (DT) was the most frequently used tool for assessing mood, while the Short Form-36 Health Survey Questionnaire (SF-36) was the most frequently used tool for assessing quality of life. The Mini Mental Status Examination (MMSE) was the most common tool for cognitive assessment. Performance status (5.2%) and social support (6.8%) were underrepresented. Only three brain tumor-specific scales were identified. Caregiver-focused scales were limited and predominantly burden-oriented. CONCLUSIONS: There are significant heterogeneity, domain imbalances, and validation gaps in the current use of assessment scales for patients with glioma receiving palliative care. The scale selected for use should be comprehensive and user-friendly.
Humans ; Glioma/psychology* ; Palliative Care/methods* ; Quality of Life ; Psychometrics ; Brain Neoplasms/psychology*

OBJECTIVES: To investigate the epidemiological characteristics of human metapneumovirus (hMPV) and the risk factors for severe pneumonia in hospitalized children. METHODS: The epidemiological characteristics of hMPV in hospitalized children at Hebei Children's Hospital from January 2019 to December 2023 were retrospectively analyzed. The clinical data of hospitalized children with hMPV infection from April to December 2023 were included, and independent risk factors for severe pneumonia were identified through logistic regression. RESULTS: A total of 44 092 children were tested, with an hMPV positive rate of 7.30% (3 220/44 092). Children aged 3-6 years constituted the largest proportion (40.93%, 1 318/3 220) among hMPV-positive cases. The detection rate varied significantly by year (P<0.001), peaking in 2022 (12.35%, 978/7 919). The peak season of the epidemic was winter and spring from 2019 to 2021, but shifted to spring and summer from 2022 to 2023. The proportion of co-infection was 38.70% (1 246/3 220), primarily with rhinovirus (600/1 246, 48.15%), Mycoplasma pneumoniae (217/1 246, 17.42%), and respiratory syncytial virus (182/1 246, 14.61%). The main manifestations of hMPV pneumonia were cough, expectoration, and fever. Children with severe pneumonia were significantly younger (P<0.05). Wheezing, underlying diseases, co-infection, and younger age were identified as independent risk factors for severe pneumonia (P<0.05). CONCLUSIONS There are significant annual and seasonal differences in the epidemiological characteristics of hMPV in hospitalized children. Young age, underlying diseases, wheezing, and co-infection are independent risk factors for severe pneumonia.
Humans ; Risk Factors ; Metapneumovirus ; Child, Preschool ; Child ; Male ; Female ; Paramyxoviridae Infections/complications* ; Pneumonia/epidemiology* ; Retrospective Studies ; Child, Hospitalized ; Infant ; Logistic Models ; Seasons ; Hospitalization

Objective:This study aims to explore the synergistic effects of DIP and other medical insurance supply-side policies.Method:City A that has piloted DIP reform was set as the treatment group,and City B without reform was set as the control group.A total of 1 120 public medical institution samples from 2019 to 2022 were collected.The total medical expenses during hospitalization and some structural expenses were analyzed using DID method.Result:DIP had a significant inhibitory effect on the medical expenses,and the expenses of checkups and examinations during hospitalization in city A,but had no impact on the drug and the material expenses during hospitalization.Conclusion:DIP played a significant cost control role and effectively controlled the total medical expenses during hospitalization.The synergistic effects of price adjustment of medical services policy and national centralized drug/material procurement policy on cost control were insufficient.DIP synergized with other supply-side policies to promote rational medical cost structure.It is suggested that medical insurance departments should focus on the synergistic effects of medical insurance supply-side policies to jointly improve the efficiency of medical insurance fund utilization.

The success of the Human Genome Project has significantly deepened our understanding of genomics and catalyzed a growing focus on proteomics, as researchers aim to decipher the complex relationship between genes and proteins. Given the central role of proteins in regulating physiological processes—including DNA replication, metabolic reactions, signal transduction, pH balance, and cellular structure—developing advanced protein sequencing technologies is critical. Proteins are fundamental to nearly all biological activities, making their detailed study essential for understanding cellular functions and disease mechanisms. The Edman degradation method, developed in the 1950s, was a breakthrough in sequencing short peptides. However, its limitations in read length (fewer than 50 amino acids) and slow cycle time fall short of modern demands. Mass spectrometry has since emerged as the gold standard in protein sequencing due to its high accuracy, throughput, and reproducibility. The method is enhanced by a robust sample preparation workflow and advances in mass spectrometry technology. Despite these strengths, mass spectrometry faces limitations in dynamic range, sensitivity, read length, and sequence coverage, hindering complete de novo protein sequencing. These technological gaps underscore the need for innovative methods to provide more detailed and accurate protein sequence data. In the past decade, new protein sequencing methods, including tunneling current, fluorescence fingerprinting, and real-time dynamic fluorescence, have shown significant developmental potential. However, these methods are not yet ready for widespread application, as each still faces technical hurdles. Meanwhile, advances in nanopore DNA sequencing have sparked interest in applying nanopore technology to protein sequencing, particularly owing to its speed, convenience, and cost-effectiveness. Unlike DNA sequencing, protein sequencing presents greater challenges due to proteins’ complex three-dimensional structures, heterogeneous electrical charges, difficulties in directional movement, and diverse amino acid compositions, further complicated by post-translational modifications. Researchers have made significant strides in addressing these challenges, such as using unfolding enzymes, high temperatures, high voltage, and deformers to unravel protein structures, and employing charged sequences and electroosmotic flow to control peptide translocation. The latest strategies for nanopore protein sequencing can be broadly categorized into three approaches: strand sequencing, enzyme-assisted nanopore sequencing, and nanopore fingerprinting. In strand sequencing, dragging a protein-oligonucleotide conjugate through a nanopore with the aid of protein motors generates stepped current signals produced by the peptide strand. In enzyme-assisted nanopore sequencing, 20 proteinogenic amino acids and various post-translational modifications have been distinguished using nanopores, and sequencing of short peptides has also been demonstrated. In nanopore fingerprinting, polypeptide fragments resulting from protease digestion of a protein can be identified through nanopore sensing. Despite these advances, further improvements in protein engineering, data processing, identification accuracy, and read length are needed to make these strategies practically useful. This review provides an overview of the current major approaches to nanopore protein sequencing, emphasizing the strategies, recent advances, breakthroughs and challenges in nanopore protein sequencing. As nanopore technology continues to evolve, it is expected to offer more efficient and accurate sequencing solutions in proteomics, potentially leading to new technological breakthroughs in biochemistry and biomedicine.

Objective To investigate the effects of Astragalus polysaccharides(HPS)on farnitol X receptor(FXR)-small heterodimer chaperone receptor(SHP)signaling pathway and key proteins of glucose and lipid metabolism in diabetic rats.Methods Twelve male Wistar rats were randomly selected as blank group,and the remaining 60 rats were fed with a one-time intrabitoneal injection of streptozotocin(STZ,50 mg·kg-1)combined with a high-sugar and high-fat diet to replicate the diabetic rat model.The model rats were randomly divided into model group,positive control group(400 mg·kg-1·d-1 Bifidobacterium quadruple viable bacterial tablet suspension),experimental-H,-M,-L groups(200,100 and 50 mg·kg-1·d-1 HPS suspension),respectively.Blank group and model group were given equal volume of pure water once a day for 8 weeks.Blood glucose(Glu)was measured before and after gavage.Real-time fluorescent polymerase chain reaction(RT-PCR),Western blot were used to detect the mRNA and protein expression level of FXR,SHP,antiperoxisomal proliferator-activated receptor α(PPARα),antiphosphoenolpyruvate carboxylkinase(PEPCK),sterol regulatory receptor binding protein-1c(SREBP-1c),glucose 6 phosphatase(G6Pase).Results Glu levels in normal group,model group,positive control group and experimental-H group after treatment were(7.66±0.61),(29.25±1.64),(23.31±3.02),(19.31±5.13)mmol·L-1,respectively;the relative expression levels of FXR mRNA in liver tissues were 1.00±0.04,0.44±0.03,0.61±0.06,0.87±0.03,respectively;the relative expression levels of SHP mRNA were 1.00±0.04,0.40±0.01,0.67±0.01,0.67±0.02;the relative expression levels of G6Pase mRNA in liver tissues were 1.00±0.06,3.00±0.08,1.87±0.03,1.44±0.05,respectively;the relative expression levels of PEPCK mRNA in liver tissues were 1.00±0.04,1.88±0.03,1.31±0.02,1.23±0.04,respectively;the relative expression levels of SREBP-1c mRNA in liver tissues were 1.00±0.04,1.90±0.01,1.26±0.03,1.06±0.04;the relative expression levels of PPARα mRNA in liver tissues were 1.00±0.02,0.16±0.01,0.45±0.01,0.96±0.03,respectively.Compared with blank group,positive control group and experimental-H group,there were statistically significant differences in the above indexes between model group and blank group(all P＜0.01).The protein expression trend of FXR,SHP,G6Pase,PEPCK,SREBP-1c,PPARα was consistent with mRNA expression.Conclusion HPS may regulate FXR-SHP signaling pathway in liver tissue,inhibit the expression of key proteins of glucose and lipid metabolism,promote lipid oxidation,improve Glu and protect liver tissue in diabetic rats.

Three 2,3-diketoquinoxaline alkaloids were isolated from Heterosmilax yunnanensis Gagnep. Their structures were determined through 1D and 2D NMR, HR-ESI-MS, UV, and IR as 1-[5′-(3″-hydroxy-3″-methyl) glutaryl] ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (1), 1-[2′-(3″-hydroxy-3″-methyl) glutaryl]ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (2), and 1-ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (3). Compounds 1 and 2 are novel compounds, and 3 was isolated from H. yunnanensis for the first time. The hepatoprotective activity of these three compounds was evaluated, with compound 3 showing promising hepatoprotective activity.

Objective: To observe the clinical pathology features, and immune microenvironment of HER-2 intratumoral heterogeneity breast cancer. Methods: Thirty cases of HER-2 intratumoral heterogeneous breast cancer were retrospectively analyzed in Tianjin Medical University Cancer Institute and Hospital from November 2017 to June 2020. HER-2 expression was detected by immunohistochemistry and verified by dual color silver-enhanced in-situ hybridization (D-SISH). HER-2 intratumoral positive and negative regions were divided. The pathological characteristics, subtype, and the level of tumor infiltrating lymphocytes (TILs) and the expression of programmed cell death-ligand 1 (PD-L1) were evaluated respectively. Results: The proportion of HER-2 positive cells of the breast cancer ranged from 10% to 90%. The pathological type was mainly invasive non-special typecarcinoma. Six cases presented different pathological types between HER-2 positive and negative regions. The HER-2-positive areas included 2 cases of carcinoma with apocrine differentiation, and the negative areas included 2 cases of invasive micropapillary carcinoma, 1 case of invasive papillary carcinoma, and 1 case of carcinoma with apocrine differentiation. In HER-2 positive regions, 17 cases were Luminal B and 13 cases were HER-2 overexpressed types. There were 22 cases of Luminal B and 8 cases of triple negative tumors in the HER-2 negative areas. The levels of TILs in HER-2 positive and negative areas accounted for 53.3% (16/30) and 26.7% (8/30), respectively, with a statistically significant difference (P=0.035). The positive expression of PD-L1 in HER-2 positive area and HER-2 negative area were 6 cases and 9 cases, respectively. Among 8 cases with HER-2 negative regions containing triple negative components, 4 cases were positive for PD-L1 expression. Conclusions: In the case of HER-2 intratumoral heterogeneity, it is necessary to pay attention to both HER-2 positive and negative regions, and evaluate subtype separately as far as possible. For HER-2 intratumoral heterogeneous breast cancer containing triple negative components, the treatment mode can be optimized by refining the intratumoral expression of PD-L1.
Humans ; Female ; Breast Neoplasms/pathology* ; Retrospective Studies ; B7-H1 Antigen/metabolism* ; Lymphocytes, Tumor-Infiltrating/pathology* ; Carcinoma ; Tumor Microenvironment ; Triple Negative Breast Neoplasms/pathology* ; Prognosis ; Biomarkers, Tumor/metabolism*

Post-traumatic stress disorder (PTSD) has been reported to be associated with a higher risk of cardiovascular disease. The amygdala may have an important role in regulating cardiovascular function. This study aims to explore the effect of amygdala glutamate receptors (GluRs) on cardiovascular activity in a rat model of PTSD. A compound stress method combining electrical stimulation and single prolonged stress was used to prepare the PTSD model, and the difference of weight gain before and after modeling and the elevated plus maze were used to assess the PTSD model. In addition, the distribution of retrogradely labeled neurons was observed using the FluoroGold (FG) retrograde tracking technique. Western blot was used to analyze the changes of amygdala GluRs content. To further investigate the effects, artificial cerebrospinal fluid (ACSF), non-selective GluR blocker kynurenic acid (KYN) and AMPA receptor blocker CNQX were microinjected into the central nucleus of the amygdala (CeA) in the PTSD rats, respectively. The changes in various indices following the injection were observed using in vivo multi-channel synchronous recording technology. The results indicated that, compared with the control group, the PTSD group exhibited significantly lower weight gain (P < 0.01) and significantly decreased ratio of open arm time (OT%) (P < 0.05). Retrograde labeling of neurons was observed in the CeA after microinjection of 0.5 µL FG in the rostral ventrolateral medulla (RVLM). The content of AMPA receptor in the PTSD group was lower than that in the control group (P < 0.05), while there was no significant differences in RVLM neuron firing frequency and heart rate (P > 0.05) following ACSF injection. However, increases in RVLM neuron firing frequency and heart rate were observed after the injection of KYN or CNQX into the CeA (P < 0.05) in the PTSD group. These findings suggest that AMPA receptors in the amygdala are engaged in the regulation of cardiovascular activity in PTSD rats, possibly by acting on inhibitory pathways.
Rats ; Animals ; Rats, Sprague-Dawley ; Stress Disorders, Post-Traumatic ; Receptors, AMPA ; 6-Cyano-7-nitroquinoxaline-2,3-dione/pharmacology* ; Receptors, Glutamate/metabolism* ; Amygdala ; Weight Gain ; Medulla Oblongata/physiology* ; Blood Pressure

Objective: To investigate the mechanism of signal transducer and activator of transcription 3 (STAT3) and cancer associated fibroblasts (CAF) jointly generate chemo-resistance in epithelial-ovarian cancer and their effect on prognosis. Methods: A total of 119 patients with high-grade ovarian serous cancer who received surgery in Cancer Hospital of Chinese Academy of Medical Sciences from September 2009 to October 2017 were collected. The clinico-pathological data and follow-up data were complete. Multivariate Cox regression model was used to analyze the prognostic factors. Ovarian cancer tissue chips of patients in our hospital were prepared. EnVision two-step method immunohistochemistry was used to detect the protein expression levels of STAT3, the specific markers of CAF activation, fibroblast activating protein (FAP), and type Ⅰ collagen (COL1A1) secreted by CAF. The relationship between the expression of STAT3, FAP, COL1A1 protein and drug resistance and prognosis of ovarian cancer patients was analyzed, and the correlation between the expression of three proteins was analyzed. These results were verified through the gene expression and prognostic information of human ovarian cancer tissues collected in the GSE26712 dataset of gene expression omnibus (GEO) database. Results: (1) Multivariate Cox regression model analysis showed that chemotherapy resistance was an independent risk factor for overall survival (OS) of ovarian cancer (P<0.001). (2) The expression levels of STAT3, FAP, and COL1A1 proteins in chemotherapy resistant patients were significantly higher than those in chemotherapy sensitive patients (all P<0.05). Patients with high expression of STAT3, FAP, and COL1A1 had significantly shorter OS than those with low expression (all P<0.05). According to the human ovarian cancer GSE26712 dataset of GEO database, patients with high expression of STAT3, FAP, and COL1A1 also showed shorter OS than patients with low expression (all P<0.05), the verification results were consistent with the detection results of ovarian cancer patients in our hospital. (3) Correlation analysis showed that the protein level of STAT3 was positively correlated with FAP and COL1A1 in our hospital's ovarian cancer tissue chips (r=0.47, P<0.001; r=0.30, P=0.006), the analysis of GEO database GSE26712 dataset showed that the expression of STAT3 gene and FAP, COL1A1 gene were also significantly positively correlated (r=0.31, P<0.001; r=0.52, P<0.001). Conclusion: STAT3 and CAF could promote chemotherapy resistance of ovarian cancer and lead to poor prognosis.
Female ; Humans ; Cancer-Associated Fibroblasts/pathology* ; Carcinoma, Ovarian Epithelial ; Ovarian Neoplasms/pathology* ; Prognosis ; STAT3 Transcription Factor/metabolism* ; Drug Resistance, Neoplasm