Objective To investigate the drug resistance phenotype/genotype and virulence gene carrying status, serotype, and sequence typing (ST) of Campylobacter jejuni in Fengtai District in 2024. Methods The drug resistance phenotype was detected by agar dilution method, and serotyping was performed by real-time fluorescence quantitative polymerase chain reaction (PCR). The whole genome sequencing was used to analyze drug resistance genes, virulence genes, and other characteristics. Results Among the 35 Campylobacter jejuni strains analyzed, the antibiotics with the highest resistance rates were nalidixic acid and ciprofloxacin (both 82.86%), followed by tetracycline (74.89%). All strains exhibited a 100.00% sensitivity rate to erythromycin. The multiple drug resistance rate was 77.14%. The predominant drug resistance genes were gyrA-T86I (94.29%) and tetO (74.29%). The most common serotype was HS:2, accounting for 25 strains. A total of 132 virulence genes were detected. There were 12 clonal complexes (CC) and 24 ST types. Conclusion The drug resistance situation of Campylobacter jejuni in Fengtai District is relatively severe, and the drug resistance phenotype is related to specific genetic mutations to some extent. The serotypes are diverse, the virulence genes are complex, and the pathogenic potential is significant, posing a notable risk for inducing Guillain-Barré syndrome (GBS). The high number of ST types indicates substantial genetic diversity.

Heat acclimation provides cardiovascular protection in high-temperature environments through multilevel mechanisms; however, the complete molecular basis of its effects remains unclear. In this paper, we systematically review the effects of heat acclimation on blood volume, vascular function, cardiac structure, energy metabolism, and anti-stress regulation, revealing their potential mechanisms in cardiovascular adaptive protection. We also summarizes the multilevel responses induced by heat stress and heat acclimation, including the modulatory effects of heat acclimation on heat shock proteins (HSPs), hypoxia inducible factor 1 (HIF-1), and apoptotic pathways. Additionally, we highlights the comprehensive protective effects of heat acclimation across various stressors (e.g., hypoxia, heat stress). This review provides a significant physiological basis for cardiovascular disease management and sports medicine, emphasizing the potential application of heat acclimation in response to multiple stressors and supporting its role as an effective tool in cardiovascular health management and stress protection interventions.
Humans ; Acclimatization/physiology* ; Hot Temperature ; Heat-Shock Proteins/metabolism* ; Animals ; Heat-Shock Response/physiology* ; Hypoxia-Inducible Factor 1/metabolism* ; Apoptosis/physiology*

Chaihu and Longgu Muli Decoction has demonstrated significant efficacy in the treatment of tachyarrhythmia accompanied by anxiety and depression. However, there is a lack of standardized guidelines for its clinical application. In this study, the Chaihu and Longgu Muli Decoction was investigated through extensive research on ancient and modern literature, as well as a collection of clinical medical records. The basic information, medication details, and diagnostic information from medical records, personal experience literature, and clinical cases in the treatment of tachyarrhythmia accompanied by anxiety were extracted and analyzed to preliminarily identify the prescription characteristics and syndrome patterns. Subsequently, the Delphi method was employed to construct an item pool based on the data obtained in the first step. An expert questionnaire was prepared to collect scores and revision opinions from experts regarding these items. After statistical analysis and group discussions, a second round of questionnaires was formed by screening out certain items. This process was repeated until a final item set for the treatment of tachyarrhythmia accompanied by anxiety with Chaihu and Longgu Muli Decoction was determined. These findings provided guidance for clinical prescription practices. By extracting 71 syndromes and signs, as well as 33 tongue and pulse characteristics, the main syndrome features included palpitations, chest tightness, irritability, etc., which were basically consistent with the ancient syndromes. Through frequency analysis and group discussions, 71 items were screened out. After screening, modification, and primary and secondary division, 11 main diagnostic items and 10 secondary diagnostic items were determined. On this basis, the research team believes that Chaihu and Longgu Muli Decoction is mainly indicated for the following syndromes in the treatment of tachyarrhythmia accompanied by anxiety(palpitations, poor sleep, bitter taste, dry mouth, irritability/easily angered/anxiety/fearfulness/easily startled, red tongue with greasy yellow coating, rapid pulse, high work/life pressure, tachyarrhythmia on electrocardiogram/Holter monitor, and positive results on anxiety scale). Secondary syndromes include chest tightness, shortness of breath, feeling heavy and weak in the body, sweating, poor appetite, constipation, greasy white tongue coating, wiry pulse, slippery pulse, or knotted and intermittent pulse.
Drugs, Chinese Herbal/therapeutic use* ; Humans ; Delphi Technique ; Anxiety/complications* ; Tachycardia/psychology* ; Female ; Male ; Middle Aged ; Adult ; Aged

This study employs ultra-performance liquid chromatography(UPLC) to analyze the differences in alkaloid content of Commelina communis from various geographical origins, exploring its feasibility as a quality evaluation indicator. A total of 57 batches of C. communis samples from 23 provinces, autonomous regions, and municipalities in China were selected. The MicroPulite HSS T3(2.1 mm×50 mm, 1.8 μm)column was used with a mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution(20∶80), detection wavelength at 254 nm, and a flow rate of 0.3 mL·min~(-1) to measure the content of 1-deoxynojirimycin(DNJ) and deoxymannojirimycin(DMJ). The MicroPulite XP tC_(18)(2.1 mm×100 mm, 1.7 μm)column was employed with a mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution(4∶96), detection wavelength at 254 nm, and a flow rate of 0.4 mL·min~(-1) to measure the content of norharmine(NHM) and harmanme(HM). Chemometric methods were applied to study the relationships and differences among the 57 batches of C. communis. Significant differences in alkaloid content were observed among C. communis from different regions, with the average total content decreasing in the order of North China, Northeast China, Northwest China, East China, Southwest China, Central China, and South China. Cluster analysis(CA) and principal component analysis(PCA) further revealed the quality differences of C. communis from various origins, and partial least squares discriminant analysis(PLS-DA) identified DNJ as a marker compound to distinguish the quality differences between different geographical sources of C. communis. It is recommended that the content limit of DNJ be set at no less than 0.055 9%, providing a reference for the quality evaluation and clinical application of C. communis medicinal materials.
Alkaloids/analysis* ; Drugs, Chinese Herbal/chemistry* ; China ; Chromatography, High Pressure Liquid ; Chemometrics/methods* ; Quality Control

Eight amide alkaloids(1-8) were isolated from the 70% ethanol extract of Cannabis Fructus using silica gel column chromatography, MCI column chromatography, and semi-preparative high-performance liquid chromatography(HPLC). Their structures were identified as hempspiramide A(1), N-[(4-hydroxyphenyl)ethyl]formamide(2), N-acetyltyramide(3), N-trans-p-coumaroyltyramine(4), N-trans-caffeoyltyramine(5), N-trans-feruloyltyramine(6), N-cis-p-coumaroyltyramine(7), N-cis-feruloyltyramine(8) by using spectroscopic methods such as NMR and MS. Among these compounds, compound 1 was a new amide alkaloid, while compounds 2 and 3 were isolated from Cannabis Fructus for the first time. Some of the isolates were assayed for their α-glucosidase inhibitory activity. Compounds 5-7 displayed significant inhibitory activity against α-glucosidase with IC_(50) values ranging from 1.07 to 4.63 μmol·L~(-1).
Cannabis/chemistry* ; Alkaloids/pharmacology* ; Amides/isolation & purification* ; Drugs, Chinese Herbal/isolation & purification* ; Fruit/chemistry* ; Molecular Structure ; alpha-Glucosidases/chemistry* ; Chromatography, High Pressure Liquid

OBJECTIVE: To analyze the demographic and clinical characteristics of inpatients with osteoporotic vertebral compression fractures (OVCF) and provide a basis for clinical prevention and treatment. METHODS: A retrospective analysis was performed on the clinical data of 744 inpatients diagnosed with OVCF between January 2017 and December 2021 who met the inclusion criteria. Among them, 146 were male and 598 were female, with age ranging from 50 to 95 years (mean, 69.37 years). The demographic characteristics (gender, age, ethnicity, occupation, regional distribution, urban-rural distribution, and seasonal incidence) and clinical features [causes of injury, history of vertebral fractures, smoking and drinking history in males, comorbidities (hypertension, diabetes, coronary atherosclerotic heart disease, cerebral infarction), body mass index (BMI), blood lipid levels, menopausal age in females, vertebral bone mineral density T-value, number of vertebral fractures, and fracture segment distribution] of OVCF patients were analyzed. Multiple linear regression was used to analyze the independent risk factors of vertebral osteoporosis. RESULTS: The demographic analysis indicated that female patients with OVCF were significantly younger than male patients ( P<0.05). Significant differences were observed in the age distribution of OVCF between males and females ( P<0.05), with the highest proportion of male patients in the 70-79 years group (37.0%) and the highest proportion of female patients in the 60-69 years group (40.0%). From 2017 to 2021, the age of onset for OVCF gradually increased, with a similar trend observed for both genders. The distribution of occupations between genders also showed significant differences ( P<0.05); with the top three occupations for males being farmers (48.6%), retirees (24.7%), and workers (13.7%), while for females, the leading occupations were farmers (51.5%), retirees (19.4%), and service workers (10.0%). Female OVCF patients had higher BMI, vertebral bone mineral density T-value, history of vertebral fractures, hypertension prevalence, and blood lipid levels compared to male patients ( P<0.05). No significant difference between the males and the females was found in ethnicity, seasonal distribution, regional distribution, urban-rural distribution, causes of injury, number of vertebral fractures, or prevalence of comorbidities (except hypertension) ( P>0.05). Among the 744 OVCF patients, a total of 1 309 vertebrae were involved, with 628 thoracic vertebrae (48.0%) and 681 lumbar vertebrae (52.0%). The most common fracture segments were L ₁ (22.5%), T ₁₂ (21.2%), followed by L ₂ (12.2%) and T ₁₁ (10.2%). No significant gender difference was observed in the distribution of fracture segments ( P>0.05). Multiple linear regression analysis indicated that older age, female, and lower BMI were independent risk factors for vertebral osteoporosis ( P<0.05). CONCLUSION The age of onset of OVCF patients is increasing year by year. The number of fractured vertebral bodies, age distribution of morbidity, occupational distribution, BMI, history of vertebral fracture, hypertension, and blood lipid levels are related to gender. The occurrence of OVCF is mainly in the thoracolumbar segment. The female, older age, and lower BMI are independent risk factors of osteoporosis.
Humans ; Male ; Female ; Aged ; Middle Aged ; Retrospective Studies ; Spinal Fractures/etiology* ; Aged, 80 and over ; Osteoporotic Fractures/etiology* ; Fractures, Compression/etiology* ; Risk Factors ; Bone Density ; China/epidemiology* ; Osteoporosis/epidemiology* ; Comorbidity ; Inpatients ; Sex Factors ; Age Factors

Objective: To investigate the positive rate of drug-induced antibodies produced by the clinical application of β-lactam antibiotics, and analyze the differences in the detection methods and related influencing factors. Methods: A total of 350 adult inpatients who developed anemia after using β-lactam antibiotics for 3 days or more in Inner Mongolia People's hospital were selected as the experimental group, and 240 adult inpatients treated with β-lactam antibiotics for 3 days or more who did not develop anemia as the control group. The drug-induced antibody tests, direct antiglobulin tests, and unexpected antibody screening were performed on both groups, and the influencing factors of drug-induced antibodies were analyzed. Results: The numbers of positive cases of drug-induced antibody detected by the drug-coated red blood cell method in the experimental group and the control group were 12(12/350, 3.43%) and 2(2/240, 0.83%) respectively, with statistically significant differences (P<0.05). No drug-induced antibodies were detected in either group using the drug addition method. In the experimental group, the red blood cell method detected β-lactam drug-induced antibodies in 12 cases (12/350, 3.43%), while the drug added method detected 0 cases (0/350, 0.00%), with statistically significant differences (P<0.05). In the control group, the detection rates of two methods showed no statistically significant difference (P>0.05). In the experimental group, 7 cases of β-lactam antibodies were detected in the cephalosporin group (7/293, 2.40%) and 5 cases in the non-cephalosporin group (5/58, 8.62%), with statistically significant differences (P<0.05). There was no statistically significant difference between the second-generation and third-generation cephalosporin drugs (P>0.05). When the experimental group was stratified according to the history of blood transfusion and the blood type of patients, no statistically significant differences were observed between subgroups (P>0.05). Conclusion: Anemia may be related to the production of drug-induced antibodies followingβ-lactam antibiotics treatment. Therefore, improving the clinical awareness of drug-induced antibodies to β-lactam antibiotics is of great significance to clarify the causes of anemia and reduce unnecessary blood transfusions.

Objective: To investigate the positive rate of drug-induced antibodies produced by the clinical application of β-lactam antibiotics, and analyze the differences in the detection methods and related influencing factors. Methods: A total of 350 adult inpatients who developed anemia after using β-lactam antibiotics for 3 days or more in Inner Mongolia People's hospital were selected as the experimental group, and 240 adult inpatients treated with β-lactam antibiotics for 3 days or more who did not develop anemia as the control group. The drug-induced antibody tests, direct antiglobulin tests, and unexpected antibody screening were performed on both groups, and the influencing factors of drug-induced antibodies were analyzed. Results: The numbers of positive cases of drug-induced antibody detected by the drug-coated red blood cell method in the experimental group and the control group were 12(12/350, 3.43%) and 2(2/240, 0.83%) respectively, with statistically significant differences (P<0.05). No drug-induced antibodies were detected in either group using the drug addition method. In the experimental group, the red blood cell method detected β-lactam drug-induced antibodies in 12 cases (12/350, 3.43%), while the drug added method detected 0 cases (0/350, 0.00%), with statistically significant differences (P<0.05). In the control group, the detection rates of two methods showed no statistically significant difference (P>0.05). In the experimental group, 7 cases of β-lactam antibodies were detected in the cephalosporin group (7/293, 2.40%) and 5 cases in the non-cephalosporin group (5/58, 8.62%), with statistically significant differences (P<0.05). There was no statistically significant difference between the second-generation and third-generation cephalosporin drugs (P>0.05). When the experimental group was stratified according to the history of blood transfusion and the blood type of patients, no statistically significant differences were observed between subgroups (P>0.05). Conclusion: Anemia may be related to the production of drug-induced antibodies followingβ-lactam antibiotics treatment. Therefore, improving the clinical awareness of drug-induced antibodies to β-lactam antibiotics is of great significance to clarify the causes of anemia and reduce unnecessary blood transfusions.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.