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.

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 the situation of blood lipid and blood routine parameters in patients with pneumoconiosis,and construct a column chart diagnostic model to explore their diagnostic value for pneumo-coniosis.Methods A total of 456 patients with pneumoconiosis admitted to the First Affiliated Hospital of Chongqing Medical and Pharmaceutical College from January 2022 to January 2024 were selected as the pneu-moconiosis group,while 462 healthy subjects exposed to dust during the same period were chosen as the con-trol group.Serum lipids and blood routine parameters related to pneumoconiosis were measured and compared between two groups.Univariate and multivariate Logistic regression analyzes were conducted to examine ser-um lipids and blood routine parameters associated with pneumoconiosis.A risk prediction model was construc-ted using logistic regression in machine learning,and the diagnostic efficacy of the column chart diagnostic model was evaluated by calculating the C-index through receiver operating characteristic(ROC)curve and plotting the model calibration curve based on Hosmer Lemeshow goodness of fit.Decision curve analysis(DCA)was used to assess the clinical practicality of the column chart diagnostic model.Results The levels of serum high-density ester protein cholesterol(HDL-C),cholesterol(TC),red blood cell(RBC),hematocrit(HCT),hemoglobin concentration(HGB),lymphocyte number(LYM),and lymphocyte percentage(LYM％)in the pneumoconiosis group were lower than those in the control group(P＜0.05).The levels of neutrophil-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune inflammation index(SII)were higher than those in the control group(P＜0.05).Multivariate Logistic regression analysis showed that HDL-C,LYM％,PLR,and SII were independent influencing factors for pneumoconiosis(P＜0.05).A column chart diagnostic model for the occurrence of pneumoconiosis was constructed using HDL-C,TC,LYM％,PLR,and SII as diagnostic factors.The ROC curve C-index of the diagnostic model was 0.84(95％CI:0.81-0.86),with sensitivity for diagnosing pneumoconiosis of 75.29％,specificity of 77.51％,posi-tive predictive value of 83.25％,and negative predictive value of 67.88％.Internal validation was conducted on the constructed column chart diagnostic model,with a validation set ROC curve C-index of 0.84(95％CI:0.80-0.87),sensitivity of 80.91％,specificity of 72.62％,positive diagnostic value of 79.46％,and negative diagnostic value of 74.39％.The calibration positive curve slope of the diagnostic model was close to 1,and in the fit test P＞0.05.DCA analysis showed that the diagnostic model had clinical practical value for risk diag-nosis of pneumoconiosis.Conclusion HDL-C,TC,LYM％,PLR and SII are independent influencing factors for pneumoconiosis.A column chart diagnostic model for the occurrence of pneumoconiosis is successfully constructed based on machine learning principles,and it has been verified to have high diagnostic efficiency.

Objective To analyze the basic conditions and pathological characteristics of the samples in the Human Brain Bank of Hebei Medical University,which were pathologically diagnosed as cerebral amyloid angiopathy,and to provide reference for the research of related diseases.Methods The basic data of gender,age,apolipoprotein E genotype,pathological classification of cerebral amyloid angiopathy,Alzheimer's disease-related pathological change score,comorbidities and other pathological information were analyzed.Results Up to October 2024,twenty samples were confirmed by pathological diagnosis,with a male to female ratio of 3:1 and an average age of(80.90±8.08)years.Involve three kinds of apolipoprotein E subtype,5 kinds of genotypes(ε2/ε3 xε2/ε4、ε3/ε3 xε3/ε4、ε4/ε4);There were 2 pathologic types,including 6 cases of type 1 and 14 cases of type 2.The pathological grade included 3 grades.The severity grade and subtype classification of cerebral amyloid vascular disease were correlated with the degree of pathological changes of Alzheimer's disease.Cerebral amyloid angiopathy samples could coexist with other degenerative diseases with high comorbidity.Conclusion The incidence of cerebral amyloid angiopathy is higher in the aged samples collected based on Brain Bank,which coexists with conditions such as Alzheimer's disease and microbleeds,etc.It provides more detailed pathological diagnosis basis for further scientific research sharing of samples.

OBJECTIVE To investigate the effect of hyperoside on high glucose-induced excessive proliferation of retinal endo-thelial cells(RECs)and its possible mechanism.METHODS Diabetic retinopathy(DR)models were established in male Sprague-Dawley(SD)rats.DR rats were treated with low-and high-dose hyperoside(DR+L-HY group and DR+H-HY group).Additional-ly,the normal control(NC)group,DR non-intervention(DR)group and DR+calcium dobesilate intervention(DR+CD)group were set up.The differences in the number of RECs in retinal blood vessels were observed and compared among all groups after intervention.In addition,RECs were inoculated into cell culture plates after normal culture and subculture.They were divided into 5 groups according to different treatments:normal glucose(NG)group,high glucose(HG)group,mannitol(MT)group,high glucose+low concentration of hyperoside(HG+H100)group and high glucose+high concentration of hyperoside(HG+H400)group.The activ-ity,cell migration and tubule formation of RECs in each group were detected and compared by CCK-8,cell migration and tubule for-mation assays.Western blot and qPCR were used to detect the expression of NADPH Oxidase 4(NOX4)and thioredoxin interacting protein(TXNIP)in each group.RESULTS The number of RECs in the DR group was significantly increased compared to the NC group(P<0.01).In contrast,the DR+L-HY,DR+H-HY,and DR+CD groups all showed significant decreases in RECs number compared to the DR group(P<0.05,P<0.01),and the reduction of RECs in the DR+H-HY group was significantly greater than that in the DR+L-HY group(P<0.05).Furthermore,the cell activity,migration number and tube formation number of RECs in the HG group were significantly higher than those in the NG group(P<0.05,P<0.01).The protein and mRNA expression levels of NOX4 and TXNIP in the HG group were also significantly higher than those in the NG group(P<0.01).However,the RECs activity,RECs mi-gration number and tube formation number in the HG+H100 group and the HG+H400 group were significantly lower than those in the HG group(P<0.05,P<0.01).The expression levels of NOX4 and TXNIP in both groups were significantly lower than those in the HG group(P<0.05,P<0.01),and the RECs activity,migration number,tube formation number,and the expression of NOX4 and TXNIP in the HG+H400 group were further significantly decreased compared with those in the HG+H100 group(P<0.01).CONCLU-SION Hyperoside could significantly inhibit the high glucose-induced excessive proliferation of RECs.The mechanism may be relat-ed to the inhibition of NOX4/TXNIP activation in high-glucose environment.

Objective To investigate the correlation between dual-energy computed tomography angiography(CTA)parameters of carotid plaques and acute stroke events.Methods A retrospective analysis was conducted on the clinical and imaging data of patients who underwent dual-energy head and neck CTA and brain MRI scans.Utilizing the Siemens workstation(Syngo.Via VB40B),region of interest(ROI)were placed on the thickest slice of the carotid plaque in the axial plane to obtain parameters such as fat fraction(FF),virtual non-contrast(VNC)value,iodine concentration(IC),electron density(Rho),effective atomic number(Zeff),dual energy index(DEI),spectral curve,and corresponding CT values at 40 keV(40 keVHU)and 90 keV(90 keVHU).The slope of the energy spectrum curve(λ)was calculated within the 40 keV-90 keV range.Patients with acute cerebral infarction(ACI)in the ipsilateral anterior circulation territory were classified into the ACI group,while those without were classified into the non-acute cerebral infarction(NACI)(NACI group).Qualitative data were analyzed using the x2 test,and quantitative data were analyzed using the t-test.The predictive performance was assessed using the area under the curve(AUC)of the receiver operating characteristic(ROC)curve,and the differences between different ROC curves were compared using the DeLong test.Results A total of 72 patients were included,with 21 in the ACI group and 51 in the NACI group.The mean values of FF,Zeff,and 40 keVHU in the ACI group were greater than those in the NACI group.Statistically significant differences were observed between the groups for Zeff,DEI,40 keVHU,and λ(P＜0.05).40 keVHU demonstrated the highest predictive performance,and the AUC,sensitivity,and specificity was 0.789,81.0％,and 74.5％,respectively.A combined variable constructed through logistic regression analysis yielded an AUC,sensitivity,and specificity of 0.796,85.7％,and 70.6％,respectively,with no significant statistical differences compared to single factor variables.Conclusion Dual-energy CTA parameters of carotid plaques may aid in predicting intraplaque hemorrhage(IPH)and the occurrence of acute stroke events.

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.

Primary ciliary dyskinesia (PCD) is a clinically rare, genetically and phenotypically heterogeneous condition characterized by chronic respiratory tract infections, male infertility, tympanitis, and laterality abnormalities. PCD is typically resulted from variants in genes encoding assembly or structural proteins that are indispensable for the movement of motile cilia. Here, we identified a novel nonsense mutation, c.466G>T, in cilia- and flagella-associated protein 300 ( CFAP300 ) resulting in a stop codon (p.Glu156*) through whole-exome sequencing (WES). The proband had a PCD phenotype with laterality defects and immotile sperm flagella displaying a combined loss of the inner dynein arm (IDA) and outer dynein arm (ODA). Bioinformatic programs predicted that the mutation is deleterious. Successful pregnancy was achieved through intracytoplasmic sperm injection (ICSI). Our results expand the spectrum of CFAP300 variants in PCD and provide reproductive guidance for infertile couples suffering from PCD caused by them.
Adult ; Female ; Humans ; Male ; Pregnancy ; China ; Ciliary Motility Disorders/genetics* ; Codon, Nonsense ; East Asian People/genetics* ; Exome Sequencing ; Homozygote ; Infertility, Male/genetics* ; Kartagener Syndrome/genetics* ; Pedigree ; Sperm Injections, Intracytoplasmic ; Cytoskeletal Proteins/genetics*

Objective:To explore the impact of a three-dimensional management based on a perinatal one-day clinic on pregnancy outcomes in overweight and obese pregnant women.Methods:It was a randomized controlled trial. A simple random sampling method was used to select 460 singleton pregnant women with a pre-pregnancy body mass index≥24 kg/m2 who had regular prenatal check-ups at the Obstetrics and Gynecology Center of the Third Affiliated Hospital of Chongqing Medical University from June 1, 2018, to December 31, 2022. The women were randomly divided into an experimental group and a control group (230 cases each) using a computer-generated random number table. The control group received regular prenatal check-ups according to the pregnancy care guidelines (once every 4 weeks during mid-pregnancy, once every 2 weeks during late pregnancy, with additional frequency as needed based on the condition). The control group also received a one-time body composition analysis and dietary guidance from a nutritionist at the time of registration. In addition to the control group′s interventions, the experimental group received three-dimensional management based on a perinatal one-day clinic. It included an intensive one-day clinic session, a traditional plus internet-based re-education model (as needed based on the condition), individualized guidance from obstetrics and clinical nutrition clinics (once every 2 weeks), a free body composition test at 24 weeks of pregnancy, and weekly WeChat group push of health care knowledge during pregnancy. A total of 55 cases dropped out, leaving 200 cases in the experimental group and 205 cases in the control group for analysis. General information, pregnancy-related, and postpartum indicators were collected in the two groups. The effect of three-dimensional management based on a perinatal one-day clinic on pregnancy outcomes in overweight and obese pregnant women was analyzed using t-tests and chi-square tests. Results:There was no significant differences in baseline age, pre-pregnancy body mass index, initial blood glucose, initial glycated hemoglobin, or initial gestational age between the two groups (all P>0.05). The experimental group showed significantly lower gestational weight gain, neonatal weight, and proportion of excessive pregnancy weight gain compared to those in the control group [(11.41±5.23) vs (13.22±4.51) kg, (3 352.1±465.3) vs (3 489.5±464.0) g, 48.00% vs 73.17%] (all P<0.05). There were no significant differences in hospitalization days, gestational age at delivery, incidence of gestational diabetes, incidence of hypertensive disorders of pregnancy, incidence of premature rupture of membranes, incidence of preterm birth, incidence of macrosomia, vaginal delivery rate and rate of neonatal transfer to the pediatric department between the two groups (all P>0.05). Conclusion:Early intervention with the three-dimensional management based on the one-day perinatal clinic can effectively control gestational weight gain and neonatal weight in overweight and obese pregnant women.