In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics. Similarities and variations of components present significant analytical challenges. A two-dimensional (2D) liquid chromatography-mass spectrometr (LC-MS) method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium (CMS). A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated. For efficient and high-accuracy screening of CMS, a targeted method based on a self-constructed high resolution (HR) mass spectrum database of CMS components was established. The database was built based on the commercial MassHunter Personal Compound Database and Library (PCDL) software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening. On this basis, the unknown peaks in the CMS chromatograms were deduced and assigned. The molecular formula, group composition, and origins of a total of 99 compounds, of which the combined area percentage accounted for more than 95% of CMS components, were deduced by this 2D-LC-MS method combined with the MassHunter PCDL. This profiling method was highly efficient and could distinguish hundreds of components within 3 h, providing reliable results for quality control of this kind of complex drugs.

OBJECTIVE: To investigate chronic hepatitis C virus (HCV) infection's effect on gestational liver function, pregnancy and delivery complications, and neonatal development. METHODS: A total of 157 HCV antibody-positive (anti-HCV[+]) and HCV RNA(+) patients (Group C) and 121 anti-HCV(+) and HCV RNA(-) patients (Group B) were included as study participants, while 142 anti-HCV(-) and HCV RNA(-) patients (Group A) were the control group. Data on biochemical indices during pregnancy, pregnancy complications, delivery-related information, and neonatal complications were also collected. RESULTS: Elevated alanine aminotransferase (ALT) rates in Group C during early, middle, and late pregnancy were 59.87%, 43.95%, and 42.04%, respectively-significantly higher than Groups B (26.45%, 15.70%, 10.74%) and A (23.94%, 19.01%, 6.34%) ( P < 0.05). Median ALT levels in Group C were significantly higher than in Groups A and B at all pregnancy stages ( P < 0.05). No significant differences were found in neonatal malformation rates across groups ( P > 0.05). However, neonatal jaundice incidence was significantly greater in Group C (75.16%) compared to Groups A (42.25%) and B (57.02%) ( χ ² = 33.552, P < 0.001). HCV RNA positivity during pregnancy was an independent risk factor for neonatal jaundice ( OR = 2.111, 95% CI 1.242-3.588, P = 0.006). CONCLUSIONS Chronic HCV infection can affect the liver function of pregnant women, but does not increase the pregnancy or delivery complication risks. HCV RNA(+) is an independent risk factor for neonatal jaundice.
Humans ; Female ; Pregnancy ; Adult ; Pregnancy Complications, Infectious/epidemiology* ; Retrospective Studies ; Pregnancy Outcome ; Infant, Newborn ; Viremia/virology* ; Hepatitis C ; Hepacivirus/physiology* ; Hepatitis C, Chronic/virology* ; Young Adult ; Alanine Transaminase/blood*

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

An effective method for simultaneously detecting four semivolatile earthy-musty odors in freshwater fish by gas chromatography-mass spectrometry(GC-MS)was developed.The concurrent extraction of geosmin(GSM),2-methylisoborneol(MIB),2-isopropyl-3-methoxypyrazine(IPMP),and 2-isobutyl-3-methoxypyrazine(IBMP)in fish tissue was conducted with n-hexane.The optimized QuEChERS material was implemented,and it was found that C18,primary secondary amine(PSA)and MgSO4 could adsorb the target analytes in n-hexane.So only the graphitized carbon black(GCB)could be used to purify the extraction.The adsorption rates of different materials for the four kinds of odors materials were explored in n-hexane and ethyl acetate.The experimental results revealed that the adsorption rates of silica for the four targets were 99.5%-100%in n-hexane and 0.7%-5.0%in ethyl acetate respectively.Then the silica solid phase extraction(SPE)method was utilized to eluent the compounds using 1.0 mL n-hexane/ethyl acetate in different proportions.The results of the comparative analysis demonstrated that n-hexane/ethyl acetate(4∶1,V/V)was the optimized eluent.Based on the obtained results,n-hexane extraction and GCB purification combined with silica SPE were used to isolate GSM,MIB,IPMP and IBMP from fish and the method was validated.It was found that the method showed good linearity in the range of 0.5-200 ng/mL,and with detection limits of 0.6 μg/kg for GSM and MIB,0.2 μg/kg for IPMP and IBMP.The limits of quantitation(LOQ)were 1.0 μg/kg for GSM and MIB,0.6 μg/kg for IPMP and IBMP.Good recoveries(77.5%-112.0%)and relative standard deviations(1.56%-9.42%)were also obtained.The use of silica SPE greatly mitigated the issue that the off-flavor compounds were easily lost in the gas blowing concentration process.There was no cross contamination in this method because the sample pretreatments were conducted separately,which was different with the most commonly used HS-SPME method for detecting semi-volatile substances.The sensitivity of this method was high enough to produce good quantitative results below the odor thresholds of the examined off-flavor compounds.

Objective To explore the role of plasma exosome microRNA-622(miR-622)in cachexia of hep-atocellular carcinoma(HCC).Methods Select preoperative blood samples from 40 patients with stage Ⅲ-ⅣHCC and 33 patients with non HCC liver benign diseases collected at Huashan Hospital,Fudan University from 2021 to 2024 as the research subjects.Exosomes were isolated from the plasma of patients,human HCC cell lines(HepG2,Hep3B,PLC,Huh7),and the culture supernatants of primary human hepatocytes(PHH)by differential centrifugation.The relative expression level of miR-622 was detected by real-time fluorescence quantitative polymerase chain reaction.The level of lipolysis was assessed by determining the concentration of glycerol and fatty acids in adipocyte culture medium.Results Plasma exosome miR-622 levels in HCC pa-tients were positively correlated with subcutaneous adipose index and visceral adipose index(r=0.516,0.539,P＜0.05).HCC cell conditional medium was able to significantly increase the lipolysis level of adipo-cytes.The relative expression levels of miR-622 in exosomes from HCC cells(HepG2,Hep3B,PLC,Huh7)were significantly lower than those in exosomes from PHH,with values of 0.13±0.04,0.28±0.08,0.23±0.07,and 0.24±0.04,respectively,compared to 1.00±0.18 in PHH exosomes.Further studies revealed that plasma exosome of HCC patients treatment was able to lead to a decrease in the relative expression level of miR-622 in adipocytes,as well as an enhancement of lipolysis.Conclusion The expression of plasma exosomal miR-622 is downregulated in HCC patients.HCC cells can deliver miR-622 to adipocytes via exosomes to reg-ulate lipolysis.Plasma exosomal miR-622 may serve as a potential biomarker for predicting HCC cachexia and a therapeutic target.

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

Human Respiratory Stem Cells (RSCs) play a crucial role in the maintenance, repair and regeneration of the respiratory system. As a novel therapeutic method, stem cell therapy is a popular research direction in the medical field. And with the in-depth research on the mechanism of pneumonia caused by respiratory infections in recent years, the use of RSCs to explore pneumonia caused by respiratory infections and its therapeutic strategies has become a hot topic. In this paper, we firstly outlined the types of RSCs, summarized the mechanism of pneumonia caused by respiratory tract infections, discussed the advantages of RSCs application and the progress of culture differentiation, and elaborated the therapeutic exploration of RSCs in pneumonia caused by respiratory tract infections.

Objective Based on multi-dimensional bioinformatics technology,the molecular pathological mechanism of acute hypotension is systematically analyzed.Methods Integrate the gene expression profile of the Gene Expression Omnibus database(GSE2401),use limma package(R software)to screen differential genes,and optimize targets through data dimensionality reduction(log2(FC)＞1,P＜0.05);Further combine Gene Ontology,Kyoto Encyclopedia of Genes and Genomes and gene set enrichment analysis pathway enrichment and STRING-Cytoscape(MCODE,CytoHubba plug-in)to build a protein-protein interaction(PPI)network to mine core genes;realize the full-chain analysis of"differential gene-functional pathway-PPI network".Results 676 differential genes(304 upregulated,372 downregulated),ribosome structural components(Rps8,Rps27,Rpl35,etc.)and multiple pathways such as forkhead box protein and cyclic adenosine monophosphate were found to coordinate the regulation of acute hypotension.Conclusion This study uses a low-cost and efficient bioinformatics analysis framework to reveal the association between ribosomal dysfunction,changes in insulin signal efficacy and blood pressure regulation,providing new ideas for targeted therapy.

Objective:To summarize the clinical and genetic characteristics of patients with neurodevelopmental disorder with or without variable brain abnormalities (NEDBA) caused by MAPK8IP3 gene variation. Methods:The clinical data and genetic testing results of 2 children with NEDBA treated in Henan Children′s Hospital from August 2019 to January 2022 were collected retrospectively. Literature was searched and reviewed from China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, PubMed database and OMIM database (up to October 2024) with" MAPK8IP3 gene ""NEDBA ""neurodevelopmental disorders "as the search terms. The main clinical genetic characteristics of NEDBA caused by MAPK8IP3 gene variation were summarized. Results:The 2 children, a boy aged 1 year and 8 months and a girl aged 1 year and 4 months, both showed global developmental delay and the onset of the disease in infancy. The de novo heterozygous mutation c.1732C>T(p.Arg578Cys) of the MAPK8IP3 gene was detected by whole-exome sequencing. Case 1 was followed up to 3 years and 10 months old, who had severe developmental delay and was accompanied by hip subluxation and strephexopodia. Literature search retrieved 0 Chinese literature and 2 English literatures. A total of 18 patients including 2 cases reported in this study were identified as NEDBA caused by MAPK8IP3 gene variations, including 16 cases with missense mutations and 2 cases with truncation mutations. Among them, 7 patients carried c.1732C>T(p.Arg578Cys) and 5 patients carried c.3436C>T(p.Arg1146Cys). The main clinical manifestations of the 18 patients included developmental delay/intellectual disability (18 cases), poor or absent speech (11 cases), abnormal neurological examination (10 cases: 6 with spastic paraplegia, 2 with spasticity, 2 with ataxia, 1 with unstable gait), hypotonia (10 cases), skeletal malformations (10 cases: 4 with short stature, 3 with scoliosis, 1 with 5th finger clinodactyly and brachydactylky, 1 with flat-valgus feet, 1 with hip subluxation), seizures (3 cases), left hearing loss (1 case), myopic astigmatism and pseudostrabismus (1 case), abnormal brain magnetic resonance imaging (15 cases). Conclusions:Patients with NEDBA is usually characterized by global developmental delay apparent from infancy or early childhood, resulting in language and motor disorders. Additional features may include hypotonia, spasticity, skeletal malformations and abnormal brain magnetic resonance imaging. Currently, missense variations are frequent among the heterozygous MAPK8IP3 genotypes, among which c.1732C>T(p.Arg578Cys) and c.3436C>T(p.Arg1146Cys) are considered hot spot variations.

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics.Similarities and variations of components present significant analytical challenges.A two-dimensional(2D)liquid chromatography-mass spectrometry(LC-MS)method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium(CMS).A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated.For efficient and high-accuracy screening of CMS,a targeted method based on a self-constructed high resolution(HR)mass spectrum database of CMS components was established.The database was built based on the commercial MassHunter Personal Compound Database and Library(PCDL)software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening.On this basis,the unknown peaks in the CMS chromatograms were deduced and assigned.The molecular formula,group composition,and origins of a total of 99 compounds,of which the combined area percentage accounted for more than 95％of CMS components,were deduced by this 2D-LC-MS method combined with the MassHunter PCDL.This profiling method was highly efficient and could distinguish hundreds of components within 3 h,providing reliable results for quality control of this kind of complex drugs.