This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

This paper introduces a real-world cohort research model for community-acquired pneumonia （CAP） based on the Jiangsu Traditional Chinese Medicine （TCM） Dominant Diseases Diagnosis and Treatment Data Platform. Firstly， data cleaning is performed by standardizing diagnosis， symptoms， treatment and imaging， intelligently extracting unstructured information， and cleaning and constructing a standardized database. Secondly， for cohort establishment， CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly， in terms of protocol design， the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria， estimate sample size， define interventions， outcomes and economic evaluations， providing a reference for real-world TCM research on CAP.

Objective To explore the differences in heartbeat-evoked response (HER) under drug-related cues and neutral cues in individuals with heroin use disorder (HUD), and analyze the correlation between HER potentials and immediate cue-induced craving scores. Methods Fifty HUD participants were recruited from the Chang’an Compulsory Isolation Drug Rehabilitation Center in Shaanxi Province from June to September 2024. Simultaneous acquisition of 64-channel electroencephalography (EEG) and electrocardiogram signals was performed. Twenty alternating segments of drug-related and neutral cue videos were presented, and participants rated their subjective craving after each segment using visual analogue scale (VAS) scores. Scalp EEG data were source analyzed to obtain cortical EEG signals and corresponding HER. Short-time Fourier transform was used to calculate the power spectral density (PSD) of EEG within a time window from 100 ms before the R-peak to 500 ms after it, using the R-peak as the time zero point. Cluster-based permutation testing was used to analyze PSD differences between drug-related and neutral cues in the HUD individuals. Pearson correlation analysis was performed to evaluate the correlation between HER potentials and VAS scores. Results In the 350–420 ms time window, HER potentials in the left posterior parietal, temporal, and posterior cingulate cortices were significantly lower under drug-related cues compared to neutral cues (P＜0.01); in the 140–210 ms time window, HER potentials in the right prefrontal cortex were significantly higher under drug-related cues compared to neutral cues (P＜0.01). Correlation analysis showed that HER potentials in the left temporal and left posterior cingulate cortices were significantly negatively correlated with VAS scores (P＜0.05). Drug-related cues enhanced PSD of γ power (30–100 Hz) in salience network (fronto-insular), parietal and occipital regions (P＜0.05). PSD integrations of low-γ power (40–60 Hz) in parietal region (350–400 ms) and high-γ power (70–100 Hz) in left salience network (fronto-parietal) and occipital regions (300–350 ms) were positively correlated with VAS scores (P＜0.05). Conclusions Drug-related cues may modulate cortical activity related to heartbeat perception in HUD individuals, and such dynamic changes in both time and frequency domains are stably associated with subjective craving.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

OBJECTIVE: To analyze a patient with infertility due to complex chromosome rearrangement by optical genome mapping (OGM). METHODS: A female patient who was diagnosed with "primary infertility" at Shenzhen Longhua District Maternal and Child Health Care Hospital in April 2024 was selected as the study subject. Clinical data of the patient was collected. Chromosome G banding karyotyping analysis was carried out for the patient and her parents, in addition with OGM and copy number variation sequencing (CNV-seq). This study was approved by the Medical Ethics Committee of the Hospital (Ethics No.: 2023052504). RESULTS: The patient, a 33-year-old female, had infertility for the past 5 years. OGM revealed formation of two derivative chromosomes through rearrangement of chromosomes 5 and 18. A loss of heterozygosity on chromosome 5 was also detected by OGM and CNV-seq techniques. Both of her parents had a normal karyotype. CONCLUSION The OGM technique can refine the position of chromosomal breakpoints and determine the direction and position of insertional fragment. Combined with karyotype analysis, the OGM can accurately determine the chromosomal karyotype of the patient and facilitate genetic counseling.
Humans ; Female ; Adult ; Karyotyping ; DNA Copy Number Variations/genetics* ; Chromosome Mapping/methods* ; Chromosome Aberrations ; Infertility, Female/diagnosis*

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.

Objective:To analyze the epidemiological patterns and temporal trends of gastric cancer incidence and mortality in China and globally, and to formulate evidence-based prevention strategies.Methods:Based on the GLOBOCAN 2022 database, we evaluated gastric cancer incidence and mortality patterns stratified by sex, age group, geographic region and human development index (HDI). Simple linear regression and Spearman's correlation analysis assessed associations between HDI and age-standardized incidence rate (ASIR) or age-standardized mortality rates (ASMR). Temporal trends from 2002 to 2020 were described in selected regions, and projections of global gastric cancer burden by 2050 were estimated.Results:In 2022, there were estimated 969 000 new gastric cases and 660 000 deaths worldwide. The burden was higher in men than in women, with incidence peaking at ages 65-69 and mortality at 70-74. ASIR was weakly correlated with HDI ( r=0.261, P＜0.001), while no significant association was found between HDI and ASMR ( r=-0.005, P=0.947). China accounted for 359 000 new cases and 260 000 deaths, representing 37.0% and 39.4% of the global totals, respectively. Both ASIR (13.7/10 5) and ASMR (9.4/10 5) in China exceeded the global averages (9.2/10 5 and 6.1/10 5, respectively). Although the overall global burden is decreasing, absolute case numbers are projected to increase by 84.1% (1.78 million cases) and deaths by 91.2% (1.26 million cases) by 2050. High-HDI regions will bear greater absolute burdens, whereas low-HDI regions face steeper relative increases. In China, new cases and deaths are projected to reach 607 000 and 504 000 by 2050, rising by 69.1% and 93.8%, respectively. Conclusions:Despite a declining global trend, the burden of gastric cancer remains substantial, with notable disparities across regions, sex and age groups. Targeted strategies are urgently needed, particularly in East Asia, among males, and older populations, to mitigate the future burden.

The aim of this study was to understand the internal genetic diversity and population history dynamics of ticks in Inner Mongolia,to provide data for designing effective vector control programs and revealing ticks'transmission mechanisms.From 2022 to 2023,the manual collection method was used to collect samples in Inner Mongolia.The 16S rDNA and COI gene sequences of ticks were used to identify Hyalomma marginatum,Haemaphysalis concinna,and Argas persicus,and analyze the sequence characteristics and genetic diversity within the populations.Base composition analysis indicated that the average A+T content of the 16S rDNA gene and CO I gene in the three ticks was significantly higher than that of C+G.Moreover,22 haplotypes of the COI gene and 12 haplotypes of the 16S rDNA sequence were identified in Hyalomma marginatum.Eleven haplotypes were identified according to the COI gene,and nine haplotypes were identified according to the16S rDNA sequence of Haemaphysalis concinna.Two haplotypes were identified on the basis of the COI gene,and six haplotypes were identified on the basis of the 16S rDNA sequence of Ar gas persicus.The minimum 16S rDNA haplotype diversity was 0.264 for Ar gas persicus and 0.579 for the other two species.The nucleotide diversity of the three tick species was less than 0.05.Tajima's val-ue and Fu's Fs value of the neutrality test were negative.Base saturation substitution analysis indicated that neither of the two genes in the three tick species reached saturation.The phylogenetic tree revealed that Hyalomma marginatum,Haema physalis concinna,and Ar gas persicus in Inner Mongolia independently aggregated into branches.In conclusion,the base content of Hyalomma marginatum,Haemaphysalis concinna,and Argas persicus genes in Inner Mongolia was consist-ent with the characteristics of insect mitochondrial DNA content.Furthermore,the three tick populations showed rapid evolu-tionary population expansion,and the phylogeny of three tick species showed independent aggregation into clades,with no pop-ulation isolation.

Objective To summarize and analyze the main clinical characteristics,feature and composition changes of gut microbiota in elderly patients with severe pneumonia,and to further explore the potential correlation between the gut characteristics and the etiology of severe pneumonia in elderly patients.Methods Patients with severe pneu-monia admitted to the respiratory intensive care unit of a tertiary teaching hospital in Changsha were selected as the research subjects.Patients aged ≥65 years were assigned to the elderly severe pneumonia group,while those aged＜65 years were assigned to the non-elderly severe pneumonia group.Based on clinical characteristics and pathogen detection of lower respiratory secretion,the elderly severe pneumonia group was further divided into a pulmonary bacterial infection group and a pulmonary fungal infection group.The pulmonary bacterial infection group was sub-divided into Gram-positive bacteria group and Gram-negative bacteria group based on Gram-staining results.Clinical data of patients were collected,and fecal specimens within 24 hours after admission were obtained for 16S rRNA se-quencing.Differences in gut microbiota characteristics between two groups of patients were compared,and the cor-relation between clinical characteristics of patients in the elderly severe pneumonia group and the abundance of dif-ferential microbiota was analyzed.Subsequently,the gut microbiota characteristics of elderly patients in severe pneumonia group infected by different pathogens were analyzed.Results Gut microbiota analysis showed no signifi-cant statistical differences in α-and β-diversity indicices between patients in the elderly and non-elderly severe pneu-monia groups(both P＞0.05).Linear discriminant analysis effect size(LEFSe)analysis indicated that,compared with patients in the non-elderly severe pneumonia group,the relative abundance of opportunistic pathogens,inclu-ding Pseudomonadales,Moraxellaceae,and Acinetobacter,was significantly higher in patients in the elderly severe pneumonia group(all P＜0.05).Some differential gut microbiota in two groups of patients were correlated with clinical indicators in patients in the elderly severe pneumonia group(all P＜0.05).β-diversity analysis(principal co-ordinate analysis)combined with Anosim analysis revealed that in patients in elderly severe pneumonia group,there was significant differences in gut colony structures between patients in the bacterial and fungal infection groups(R=0.149,P=0.02).Compared with the fungal infection group,patients in bacterial infection group showed a signifi-cantly reduced abundance of probiotics,including Verrucomicrobiales and Collinsella,and opportunistic pathogens such as Akkermansia(all P＜0.05).Conclusion Elderly patients with severe pneumonia have a dysregulated gut microbiota with significantly increased abundance of pathogenic bacteria compared with non-elderly patients.Differ-ential gut microbiota of two groups of patients are correlated with some infection-related and organ function indica-tors in elderly patients with severe pneumonia.Compared with elderly patients with severe fungal pneumonia,those with severe bacterial pneumonia have significant differences in gut colony structures and a notably reduction in probi-otics abundance.