Objective The study aimed to investigate the predictive efficacy of contrast-enhanced ultrasound combined with telomerase reverse transcriptase(TERT)promoter mutation in constructing nomogram model for the prediction of concomitant cervical lymph node metastasis(CLNM)in papillary thyroid microcarcinoma(pTMC).Methods A total of 202 patients with pTMC who underwent partial or total thyroidectomy+lymph node dissection at our hospital from January 2021 to March 2024 were selected.Then,they were divided into the CLNM group(97 patients)and the non-CLNM group(105 patients)according to whether they had concomitant CLNM on postoperative pathological examination.General data and ultrasound(conventional ultrasound and contrast-enhanced ultrasound)characteristics were collected from all patients with pTMC,and Sanger sequencing was used to detect TERT promoter mutations.The influencing factors of pTMC complicated by CLNM were analyzed by single-factor and multifactorial unconditional logistic regression;the nomogram model of pTMC complicating CLNM with contrast-enhanced ultra-sound combined with TERT promoter mutation was constructed by RStudio 4.4.1 software,and the consistency and net benefit of the nomogram model were evaluated by using calibration curves,decision curves,and C-indexes,and the Hosmer-Lemeshow test for goodness of fit of the nomogram model;The predictive efficiency of the nomogram model constructed by combining contrast-enhanced ultrasound and TERT promoter mutation for pTMC complicated by CLNM was evaluated by plotting receiver operating characteristic(ROC)curves using MedCalc22.023 software.Results After postoperative pathological examination,the incidence of CLNM in 202 patients with pTMC was 48.02%(97/202).Univariate analysis showed that thyroglobulin antibodies,number of lesions,aspect ratio,micro-calcifications,enhancement time,enhancement mode,enhancement intensity,capsular continuity,and TERT promoter mutations were associated with pTMC complicating CLNM(P<0.05).Multifactorial unconditional logistic regression showed that multifocal tumours(OR=3.487,95%CI:1.641～7.406,P=0.001),microcalcifications(OR=4.484,95%CI:2.113～9.516,P<0.001),equal or high enhancement(OR=3.187,95%CI:1.460～6.957,P=0.004),disruption of peritoneal continuity(OR=2.201,95%CI:1.051～4.608,P=0.036),and TERT promoter mutation positivity(OR=4.460,95%CI:2.132～10.103,P<0.001)were the independent risk factors for pTMC complicating CLNM.A contrast-enhanced ultrasound combined TERT promoter mutation nomogram model was constructed based on independent risk factors for pTMC complicating CLNM[Logit(p)=-4.486+1.350×number of foci+1.399×microcalcifications+2.124×intensity of enhancement+1.524×capsular continuity+2.175×TERT promoter mutations].The C-index of this nomogram model was 0.899(95%CI:0.893～0.905),the calibra-tion curve alignment was close to the ideal curve,the decision curve was higher than the two extreme curves,and the Hosmer-Lemeshow test showed a P>0.05.The ROC curve analysis showed that the nomogram model constructed with contrast-enhanced ultrasound combined with TERT promoter mutations predicted CLNM in pTMC with an area under the curve of 0.899.This was significantly higher than the area under the curves for contrast-enhanced ultra-sound alone(0.857)and TERT promoter mutations alone(0.697)(P<0.05).Conclusion The contrast-enhanced ultrasound combined with TERT promoter mutations to construct a nomogram model has high predictive efficiency for pTMC complicating CLNM.

Thalidomide(THA)is renowned for its potent anti-inflammatory properties.This study aimed to eluci-date its underlying mechanisms in the context of Crohn's disease(CD)development.Mouse colitis models were established by dextran sulfate sodium(DSS)treatment.Fecal microbiota and metabolites were analyzed by metagenomic sequencing and mass spectrometry,respectively.Antibiotic-treated mice served as models for microbiota depletion and transplantation.The expression of forkhead box P3+(FOXP3+)regulatory T cells(Tregs)was measured by flow cytometry and immunohistochemical assay in colitis model and patient cohort.THA inhibited colitis in DSS-treated mice by altering the gut microbiota profile,with an increased abundance of probiotics Bacteroides fragilis,while pathogenic bacteria were depleted.In addition,THA increased beneficial metabolites bile acids and significantly restored gut barrier function.Transcriptomic profiling revealed that THA inhibited interleukin-17(IL-17),IL-1β and cell cycle signaling.Fecal microbiota transplantation from THA-treated mice to microbiota-depleted mice partly recapitulated the effects of THA.Specifically,increased level of gut commensal B.fragilis was observed,correlated with elevated levels of the microbial metabolite 3alpha-hydroxy-7-oxo-5beta-cholanic acid(7-ketolithocholic acid,7-KA)following THA treatment.This microbial metabolite may stable FOXP3 expression by targeting the receptor FMR1 autosomal homolog 1(FXR1)to inhibit auto-phagy.An interaction between FOXP3 and FXR1 was identified,with binding regions localized to the FOXP3 domain(aa238-335)and the FXR1 domain(aa82-222),respectively.Conclusively,THA modu-lates the gut microbiota and metabolite profiles towards a more beneficial composition,enhances gut barrier function,promotes the differentiation of FOXP3+Tregs and curbs pro-inflammatory pathways.

Thalidomide (THA) is renowned for its potent anti-inflammatory properties. This study aimed to elucidate its underlying mechanisms in the context of Crohn's disease (CD) development. Mouse colitis models were established by dextran sulfate sodium (DSS) treatment. Fecal microbiota and metabolites were analyzed by metagenomic sequencing and mass spectrometry, respectively. Antibiotic-treated mice served as models for microbiota depletion and transplantation. The expression of forkhead box P3⁺ (FOXP3⁺) regulatory T cells (Tregs) was measured by flow cytometry and immunohistochemical assay in colitis model and patient cohort. THA inhibited colitis in DSS-treated mice by altering the gut microbiota profile, with an increased abundance of probiotics Bacteroides fragilis, while pathogenic bacteria were depleted. In addition, THA increased beneficial metabolites bile acids and significantly restored gut barrier function. Transcriptomic profiling revealed that THA inhibited interleukin-17 (IL-17), IL-1β and cell cycle signaling. Fecal microbiota transplantation from THA-treated mice to microbiota-depleted mice partly recapitulated the effects of THA. Specifically, increased level of gut commensal B. fragilis was observed, correlated with elevated levels of the microbial metabolite 3alpha-hydroxy-7-oxo-5beta-cholanic acid (7-ketolithocholic acid, 7-KA) following THA treatment. This microbial metabolite may stable FOXP3 expression by targeting the receptor FMR1 autosomal homolog 1 (FXR1) to inhibit autophagy. An interaction between FOXP3 and FXR1 was identified, with binding regions localized to the FOXP3 domain (aa238-335) and the FXR1 domain (aa82-222), respectively. Conclusively, THA modulates the gut microbiota and metabolite profiles towards a more beneficial composition, enhances gut barrier function, promotes the differentiation of FOXP3⁺ Tregs and curbs pro-inflammatory pathways.

Objective To investigate the epidemiological characteristics of cross-county imported dengue fever cases within Yunnan province in 2023, so as to provide insights into formulation of preventive and control measures for intra-provincial spread of dengue fever. Methods All data pertaining cross-county imported dengue fever cases within Yunnan Province in 2023 were collected, and the temporal, regional and population distributions of the cases were descriptively analyzed. Results A total of 1 664 intra-provincial cross-county imported dengue fever cases were reported in 95 counties (cities, districts) cross 16 profectures (cities) in Yunnan Province in 2023, accounting for 12.34% of total cases in the province. Cross-county imported dengue fever cases were predominantly reported during the period between August and October (1 516 cases, 91.11% of total cases), and peaked in September (659 cases), with a single-day peak on October 8 (36 cases). During the period from September 4 to 10, five counties (cities) with local dengue fever epidemics, including Jinghong City of Xishuangbanna Dai Autonomous Prefecture, Gengma Dai and Wa Autonomous County of Lincang City, Ruili City of Dehong Dai and Jingpo Autonomous Prefecture, Mengla Coun ty of Xishuangbanna Dai Autonomous Prefecture, and Zhenkang County of Lincang City, exported 165 cross-county imported dengue fever cases to the rest of the province. Among the 1 644 intra-provincial cross-county imported dengue fever cases, the male to female ratio was 1.40∶1.00, and 1 329 cases were at ages of 15 to 55 years (79.87%), with farmers as the predominant occupation (886 cases, 53.25%). The top 5 counties (cities/districts) reporting the highest number of intra-provincial cross-county imported dengue fever cases included Simao District (266 cases) and Lancang Lahu Autonomous County (118 cases) of Pu’er City, Mengla County (91 cases) and Menghai County (91 cases) of Xishuangbanna Dai Autonomous Prefecture, and Mangshi City (73 cases) of Dehong Dai and Jingpo Autonomous Prefecture, which accounting for 38.40% of total imported cases. These intra-provincial cross-county imported dengue fever cases originated from 7 counties (cities/districts) in 4 prefectures (cities), including 1 261 cases (76.70%) from Jinghong City of Xishuangbanna Dai Autonomous Prefecture, 224 cases (13.63%) from Ruili City of Dehong Dai and Jingpo Autonomous Prefecture, 103 cases (6.27%) from Gengma Dai and Wa Autonomous County of Lincang City, 31 cases (1.89%) from Mengla County of Xishuangbanna Dai Autonomous Prefecture, 30 cases (1.82%) from Zhenkang County of Lincang City, 10 cases (0.61%) from Cangyuan Wa Autonomous County of Lincang City, and 5 cases (0.30%) from Mohan-Boten Economic Cooperation Zone of Kunming City. In addition, local dengue fever epidemics following intra-provincial cross-county importation of dengue fevers cases in Simao District, Jinggu Dai and Yi Autonomous County, Mangshi City, Longchuan County, and Cangyuan Wa Autonomous County. Conclusions Farmers and students are high-risk populations for intra-provincial cross-county imported dengue fever cases in Yunnan Province, and health education pertaining personal protection against dengue fever should be strengthened among these high-risk populations by governments at all levels. There is a high risk of local out-break of dengue fever following continuous introduction of intra-provincial cross-county imported cases. Standardized management of intra-provincial cross-county imported dengue fever cases should be reinforced to reduce the risk of local epidemics.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective The study aimed to investigate the predictive efficacy of contrast-enhanced ultrasound combined with telomerase reverse transcriptase(TERT)promoter mutation in constructing nomogram model for the prediction of concomitant cervical lymph node metastasis(CLNM)in papillary thyroid microcarcinoma(pTMC).Methods A total of 202 patients with pTMC who underwent partial or total thyroidectomy+lymph node dissection at our hospital from January 2021 to March 2024 were selected.Then,they were divided into the CLNM group(97 patients)and the non-CLNM group(105 patients)according to whether they had concomitant CLNM on postoperative pathological examination.General data and ultrasound(conventional ultrasound and contrast-enhanced ultrasound)characteristics were collected from all patients with pTMC,and Sanger sequencing was used to detect TERT promoter mutations.The influencing factors of pTMC complicated by CLNM were analyzed by single-factor and multifactorial unconditional logistic regression;the nomogram model of pTMC complicating CLNM with contrast-enhanced ultra-sound combined with TERT promoter mutation was constructed by RStudio 4.4.1 software,and the consistency and net benefit of the nomogram model were evaluated by using calibration curves,decision curves,and C-indexes,and the Hosmer-Lemeshow test for goodness of fit of the nomogram model;The predictive efficiency of the nomogram model constructed by combining contrast-enhanced ultrasound and TERT promoter mutation for pTMC complicated by CLNM was evaluated by plotting receiver operating characteristic(ROC)curves using MedCalc22.023 software.Results After postoperative pathological examination,the incidence of CLNM in 202 patients with pTMC was 48.02%(97/202).Univariate analysis showed that thyroglobulin antibodies,number of lesions,aspect ratio,micro-calcifications,enhancement time,enhancement mode,enhancement intensity,capsular continuity,and TERT promoter mutations were associated with pTMC complicating CLNM(P<0.05).Multifactorial unconditional logistic regression showed that multifocal tumours(OR=3.487,95%CI:1.641～7.406,P=0.001),microcalcifications(OR=4.484,95%CI:2.113～9.516,P<0.001),equal or high enhancement(OR=3.187,95%CI:1.460～6.957,P=0.004),disruption of peritoneal continuity(OR=2.201,95%CI:1.051～4.608,P=0.036),and TERT promoter mutation positivity(OR=4.460,95%CI:2.132～10.103,P<0.001)were the independent risk factors for pTMC complicating CLNM.A contrast-enhanced ultrasound combined TERT promoter mutation nomogram model was constructed based on independent risk factors for pTMC complicating CLNM[Logit(p)=-4.486+1.350×number of foci+1.399×microcalcifications+2.124×intensity of enhancement+1.524×capsular continuity+2.175×TERT promoter mutations].The C-index of this nomogram model was 0.899(95%CI:0.893～0.905),the calibra-tion curve alignment was close to the ideal curve,the decision curve was higher than the two extreme curves,and the Hosmer-Lemeshow test showed a P>0.05.The ROC curve analysis showed that the nomogram model constructed with contrast-enhanced ultrasound combined with TERT promoter mutations predicted CLNM in pTMC with an area under the curve of 0.899.This was significantly higher than the area under the curves for contrast-enhanced ultra-sound alone(0.857)and TERT promoter mutations alone(0.697)(P<0.05).Conclusion The contrast-enhanced ultrasound combined with TERT promoter mutations to construct a nomogram model has high predictive efficiency for pTMC complicating CLNM.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]

Clinicians need to focus on various points in the diagnosis and treatment of insomnia.This article prescribed the treatment protocol based on the unique features,such as insomnia in the elderly,women experiencing specific physiologi-cal periods,children insomnia,insomnia in sleep-breathing disorder patients,insomnia in patients with chronic liver and kidney dysfunction.It pro-vides some reference for clinicians while they make decision on diagnosis,differentiation and treat-ment methods.

Background/Aims: Ineffective esophageal motility (IEM) is common in patients with gastroesophageal reflux disease (GERD) and can be associated with poor esophageal contraction reserve on multiple rapid swallows. Alterations in the esophageal microbiome have been reported in GERD, but the relationship to presence or absence of contraction reserve in IEM patients has not been evaluated. We aim to investigate whether contraction reserve influences esophageal microbiome alterations in patients with GERD and IEM. Methods: We prospectively enrolled GERD patients with normal endoscopy and evaluated esophageal motility and contraction reserve with multiple rapid swallows during high-resolution manometry. The esophageal mucosa was biopsied for DNA extraction and 16S ribosomal RNA gene V3-V4 (Illumina)/full-length (Pacbio) amplicon sequencing analysis. Results: Among the 56 recruited patients, 20 had normal motility (NM), 19 had IEM with contraction reserve (IEM-R), and 17 had IEM without contraction reserve (IEM-NR). Esophageal microbiome analysis showed a significant decrease in microbial richness in patients with IEM-NR when compared to NM. The beta diversity revealed different microbiome profiles between patients with NM or IEM-R and IEM-NR (P = 0.037). Several esophageal bacterial taxa were characteristic in patients with IEM-NR, including reduced Prevotella spp.and Veillonella dispar, and enriched Fusobacterium nucleatum. In a microbiome-based random forest model for predicting IEM-NR, an area under the receiver operating characteristic curve of 0.81 was yielded. Conclusions In symptomatic GERD patients with normal endoscopic findings, the esophageal microbiome differs based on contraction reserve among IEM. Absent contraction reserve appears to alter the physiology and microbiota of the esophagus.