Objective: To compare the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) model, the Prophet model, and the Bayesian structural time series (BSTS) model in forecasting the incidence of hand, foot, and mouth disease (HFMD) , so as to provide a basis for optimizing the early warning system of this disease. Methods: Weekly incidence data of HFMD in Longgang District, Shenzhen City from 2014 to 2024 were collected. The HFMD incidence data from 2014-2019 and 2023 were used as the training set to construct SARIMA, Prophet, and BSTS models, while the data from 2024 were used as the test set to compare and evaluate the predictive performance of the three models. The technique for order preference by similarity to ideal solution (TOPSIS) method was employed to calculate the C-value. This approach integrates multiple evaluation metrics, such as the mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), and symmetric mean absolute percentage error (SMAPE), to comprehensively assess model performance. Results: A total of 150 111 cases of HFMD were reported in Longgang District from 2014 to 2024, with an average annual incidence of 400.72/105. The weekly incidence fluctuated between 0 and 63.78/105, exhibiting a bimodal seasonal pattern characterized by a primary peak from May to July and a secondary peak from September to October. In the training set, all three models demonstrated a good fit to the bimodal epidemic trend of HFMD, with the BSTS model achieving the best fit. The BSTS model yielded performance metrics as follows: MAE=0.124, MSE=0.050, RMSE=0.223, SMAPE=0.021, and a C-value of 1.000. In the test set, all three models, including SARIMA, Prophet, and BSTS, performed well for short-term predictions (≤16 weeks), with the Prophet model showing relatively superior predictive performance. However, the prediction accuracy of all models declined as the forecast horizon extended. During the primary peak period (May-July), the Prophet model exhibited better predictive performance, whereas the BSTS model performed relatively better during the secondary peak period (September-October). Conclusions For the short-term forecasting of weekly HFMD incidence, the Prophet model outperformed both the SARIMA and BSTS models. During the primary peak period, the Prophet model demonstrated superior predictive performance, whereas the BSTS model exhibited better accuracy in forecasting the secondary peak period.

ObjectiveTo systematically elucidate the accumulation characteristics of secondary metabolites in the stems and leaves of Panax ginseng with different stem colors. MethodsUltra-high-performance liquid chromatography-triple quadrupole-tandem mass spectrometry （UHPLC-QqQ-MS） was employed to determine the of 22 ginsenosides in the stems and leaves of 2- to 5-year-old P. ginseng plants with green and purple stems. Principal component analysis （PCA）， orthogonal partial least squares-discriminant analysis （OPLS-DA）， and one-way analysis of variance （ANOVA） were performed to explore the distribution patterns of ginsenosides from three dimensions： tissue distribution， growth duration， and stem color. Results① Tissue distribution： Leaves served as the primary organ for ginsenoside accumulation， exhibiting significantly higher total ginsenoside content than stems， which indicated distinct tissue-specific distribution of ginsenosides. ② Growth duration： Ginsenoside levels in stems generally peaked in the 2-year-old plants before stabilizing， while those in leaves displayed a declining-rebounding pattern， indicating that the 2-year-old plants （harvest stage） was a critical time point for the resurgence of leaf ginsenosides. ③ Stem color： A stage-specific correlation was observed between stem color and ginsenoside accumulation. In stems， the early-growth stage （2-year-old） of purple-stemmed plants exhibited higher content of specific ginsenosides （e.g.， ginsenoside Rk₁ and notoginsenoside R₁）， which may be associated with its stronger early-stage stress resistance. In leaves， the content of core ginsenosides （e.g.， ginsenosides Re and Rd） in 5-year-old plants with green stems showed a surpassing trend， demonstrating higher potential of resource development. ConclusionThe accumulation of ginsenosides in P. ginseng stems and leaves is multidimensionally regulated by tissue type， growth duration， and stem color phenotypes. Purple-stemmed plants exhibit early-stage specific ginsenoside accumulation and stress resistance potential， whereas green-stemmed plants are more advantageous for core leaf ginsenoside development at the harvest stage. The findings confirm that aboveground stem color can serve as a biomarker for directed breeding and efficient resource utilization of P. ginseng.

ObjectiveTo systematically elucidate the accumulation characteristics of secondary metabolites in the stems and leaves of Panax ginseng with different stem colors. MethodsUltra-high-performance liquid chromatography-triple quadrupole-tandem mass spectrometry （UHPLC-QqQ-MS） was employed to determine the of 22 ginsenosides in the stems and leaves of 2- to 5-year-old P. ginseng plants with green and purple stems. Principal component analysis （PCA）， orthogonal partial least squares-discriminant analysis （OPLS-DA）， and one-way analysis of variance （ANOVA） were performed to explore the distribution patterns of ginsenosides from three dimensions： tissue distribution， growth duration， and stem color. Results① Tissue distribution： Leaves served as the primary organ for ginsenoside accumulation， exhibiting significantly higher total ginsenoside content than stems， which indicated distinct tissue-specific distribution of ginsenosides. ② Growth duration： Ginsenoside levels in stems generally peaked in the 2-year-old plants before stabilizing， while those in leaves displayed a declining-rebounding pattern， indicating that the 2-year-old plants （harvest stage） was a critical time point for the resurgence of leaf ginsenosides. ③ Stem color： A stage-specific correlation was observed between stem color and ginsenoside accumulation. In stems， the early-growth stage （2-year-old） of purple-stemmed plants exhibited higher content of specific ginsenosides （e.g.， ginsenoside Rk₁ and notoginsenoside R₁）， which may be associated with its stronger early-stage stress resistance. In leaves， the content of core ginsenosides （e.g.， ginsenosides Re and Rd） in 5-year-old plants with green stems showed a surpassing trend， demonstrating higher potential of resource development. ConclusionThe accumulation of ginsenosides in P. ginseng stems and leaves is multidimensionally regulated by tissue type， growth duration， and stem color phenotypes. Purple-stemmed plants exhibit early-stage specific ginsenoside accumulation and stress resistance potential， whereas green-stemmed plants are more advantageous for core leaf ginsenoside development at the harvest stage. The findings confirm that aboveground stem color can serve as a biomarker for directed breeding and efficient resource utilization of P. ginseng.

Autoimmune hepatitis （AIH） is a chronic inflammatory liver disease. The pathogenesis of AIH remains unclear， but it is mainly autoimmune injury caused by the breakdown of autoimmune tolerance due to the abnormal activation of the immune system， while the specific molecular mechanism remains unknown. Recent studies have shown that abnormal amino acid metabolism plays an important role in the development and progression of AIH. This article reviews the research advances in amino acid metabolic reprogramming in AIH， in order to provide a theoretical basis for amino acid metabolism as a new target for the clinical diagnosis and treatment of AIH.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective To investigate the value of the absolute number of lymphocyte subpopulations as an early warning indicator for children with SMPP(severe mycoplasma pneumonia,SMPP)and to analyze the character-istics observed via bronchoscopy,thereby providing a valuable reference for the early diagnosis of SMPP.Methods This study included 102 children with Mycoplasma pneumoniae pneumonia(MPP),comprising 54 cases of common MPP and 48 cases of SMPP.The lymphocyte subpopulations,clinical characteristics,and laboratory indicators were analyzed.Results There were statistically significant differences between the two groups in the absolute number levels of lymphocyte subpopulations CD3+CD19-T,CD4+T,CD3-CD19+B,CD3-/CD16+CD56+NK cells(P<0.05).The absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells showed negative correlations with serum ferritin,LDH,CRP,and D-D,respectively(P<0.05).Multifactorial logistic regression analysis identified the absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells as independent risk factors for severe Mycoplasma pneumoniae pneumonia(SMPP).ROC analysis demonstrated that the areas under the curve for diagnosing SMPP based on the absolute numbers of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells were 0.711,0.887,0.856,and 0.860,respectively,with sensitivities of 47.4%,80.8%,82.1%,and 92.3%,and specificities of 89.7%,87.2%,75%,and 70.5%,respectively.The combined ROC curve of the four lymphocyte subsets had an area of 0.983,with a sensitivity of 97.4%and specificity of 92.3%.The proportions of bronchoscopy findings and microscopic examination of mucus plugs in the SMPP group were significantly higher than those in the ordinary MPP group(P<0.05).In the mucoid plug subgroup,the absolute numbers of CD3?CD19?T cells and CD4?T cells were significantly lower compared to the non-mucoid plug subgroup,while the percentage of CD8?T cells increased and the CD4?/CD8? ratio decreased(all P<0.05).Conclusions The absolute number of CD3+CD19-T,CD4+T,CD3-CD19+B,and CD3-/CD16+CD56+NK cells in peripheral blood serves as a highly sensitive and specific predictor of small airway mucus plugging phenomenon(SMPP)and can thus be utilized as a potential biomarker for SMPP.Microscopic analysis under SMPP conditions reveals a high prevalence of mucus plugs,necessitating proactive bronchoscopic intervention.Furthermore,the significant imbalance in T cell subpopulations is strongly correlated with the formation of mucus plugs observed during bronchoscopy.

Lens injury is an important etiological factor in the reduction of visual function following ocular trauma.Currently, there are no clear standards for the classification of lens injury, and comprehensive diagnostic tools are lacking.This deficiency leads to numerous controversies and challenges in critical areas, such as diagnosis and preoperative evalution, timing of surgery, surgical strategy, and assessment of postoperative prognosis.Tomographic imaging technology, such as computed tomography, magnetic resonance imaging, optical coherence tomography, has introduced a new dimension to the evaluation of lens injury, which is crucial for assessing the transparency, texture, location, morphology, and integrity of the lens, as well as the zonules and nearby intraocular structures.However, the use of tomographic imaging technology is somewhat limited due to the limitations of relying on a single method.With the ongoing advancement of imaging technologies and the rapid development of big data and artificial intelligence, tomographic imaging will become an increasingly essential tool in the future management of lens injury.Our expert group reviewed the epidemiological characteristics and classification of lens injury and the major challenges currently faced in the diagnosis and treatment of lens injury, and provided expert recommendations mainly focusing on the application, shortcomings and limitations of current tomographic imaging technology in the diagnosis and treatment of lens injury, and future development directions.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.