BACKGROUND:Rheumatoid arthritis is a chronic autoimmune disease.Early diagnosis is crucial for preventing disease progression and for effective treatment.Therefore,it is of significance to investigate the diagnostic characteristics and immune cell infiltration of rheumatoid arthritis. OBJECTIVE:Based on the Gene Expression Omnibus(GEO)database,to screen potential diagnostic markers of rheumatoid arthritis using machine learning algorithms and to investigate the relationship between the diagnostic characteristics of rheumatoid arthritis and immune cell infiltration in this pathology. METHODS:The gene expression datasets of synovial tissues related to rheumatoid arthritis were obtained from the GEO database.The data sets were merged using a batch effect removal method.Differential expression analysis and functional correlation analysis of genes were performed using R software.Bioinformatics analysis and three machine learning algorithms were used for the extraction of disease signature genes,and key genes related to rheumatoid arthritis were screened.Furthermore,we analyzed immune cell infiltration on all differentially expressed genes to examine the inflammatory state of rheumatoid arthritis and investigate the correlation between their diagnostic characteristics and infiltrating immune cells. RESULTS AND CONCLUSION:In both rheumatoid arthritis and normal synovial tissues,we identified 179 differentially expressed genes,with 124 genes up-regulated and 55 genes down-regulated.Enrichment analysis revealed a significant correlation between rheumatoid arthritis and immune response.Three machine learning algorithms identified LRRC15 and MICB as potential biomarkers of rheumatoid arthritis.LRRC15(area under the curve=0.964,95%confidence interval:0.924-0.992)and MICB(area under the curve=0.961,95%confidence interval:0.923-0.990)demonstrated strong diagnostic performance on the validation dataset.The infiltration of 13 types of immune cells was altered,with macrophages being the most affected.In rheumatoid arthritis,the majority of proinflammatory pathways in immune cell function were activated.Immunocorrelation analysis revealed that LRRC15 and MICB had the strongest correlation with M1 macrophages.To conclude,this study identified LRRC15 and MICB as potential diagnostic markers for rheumatoid arthritis,with strong diagnostic performance and significant correlation with immune cell infiltration.Machine learning and bioinformatics analysis deepened the understanding of immune infiltration in rheumatoid arthritis and provided new ideas for the diagnosis and treatment of rheumatoid arthritis.

ObjectiveTo explore the mechanism of Jiebiao Qingli decoction （JQD） in treating pneumonia caused by influenza A virus （IAV） infection. MethodsA total of 132 Balb/c mice were randomly assigned into normal control （NC）， model control （IAV）， oseltamivir （OSV， 37.5 mg·kg^-1）， and high-， medium-， low-dose JQD （H-， M-， and L-JQD： 6.05， 3.02， and 1.51 g·kg^-1， respectively） groups. The NC group was treated with normal saline nasal drops， and the other groups were intranasally inoculated with A/Brisbane/02/2018 （H1N1） ［pdm09-like virus （H1N1）］ for the modeling of IAV infection. Two hours post-modeling， the NC and IAV groups were administrated with normal saline by gavage， while other groups received corresponding drugs for 7 d. The body mass， survival status， and deaths of mice were recorded daily during the administration of the drugs. On days 3 and 7， the lung index was measured for mice in each group. Pathological changes in the lung tissue were observed via hematoxylin-eosin staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was conducted to measure the viral load （IAV-M） and the mRNA levels of Toll-like receptor 7 （TLR7）， p38 mitogen-activated protein kinase （p38 MAPK）， and nuclear factor-kappa B （NF-κB） in the lung tissue. Western blot was employed to measure the protein levels of p38 MAPK and NF-κB. Enzyme-linked immunosorbent assay was used to quantify serum levels of interleukin-2 （IL-2）， interleukin-6 （IL-6）， and tumor necrosis factor-alpha （TNF-α）. ResultsCompared with the NC group， the IAV group showed reduced survival quality and survival days （P<0.01）， lung congestion， inflammatory cell infiltration， elevated lung index （P<0.01）， increased viral load （P<0.01）， upregulated TLR7， p38 MAPK， and NF-κB levels （P<0.05， P<0.01）， decreased IL-2 level （P<0.01）， and elevated IL-6 and TNF-α levels （P<0.01）. Compared with the IAV group， H-JQD prolonged survival days （P<0.05）. All JQD groups alleviated pathological changes in the lung tissue and reduced the lung index （P<0.01）. M-JQD and H-JQD decreased the viral load （P<0.01）. H-JQD downregulated the mRNA levels of TLR7， p38 MAPK， and NF-κB （P<0.05， P<0.01） and the protein levels of p38 MAPK and NF-κB （P<0.01）， increased the serum IL-2 level （P<0.01）， and lowered the IL-6 and TNF-α levels （P<0.05， P<0.01）. M-JQD downregulated the mRNA level of NF-κB （P<0.01） and the protein level of p38 MAPK （P<0.05）， elevated the IL-2 level （P<0.01）， and lowered the TNF-α level （P<0.01）. ConclusionM- and H-JQD can prevent and control IAV infection-induced pneumonia dose-dependently by inhibiting the TLR7/MAPK/NF-κB signaling pathway， increasing IL-2， and reducing excessive secretion of IL-6 and TNF-α.

ObjectiveTo explore the mechanism of Jiebiao Qingli decoction （JQD） in treating pneumonia caused by influenza A virus （IAV） infection. MethodsA total of 132 Balb/c mice were randomly assigned into normal control （NC）， model control （IAV）， oseltamivir （OSV， 37.5 mg·kg^-1）， and high-， medium-， low-dose JQD （H-， M-， and L-JQD： 6.05， 3.02， and 1.51 g·kg^-1， respectively） groups. The NC group was treated with normal saline nasal drops， and the other groups were intranasally inoculated with A/Brisbane/02/2018 （H1N1） ［pdm09-like virus （H1N1）］ for the modeling of IAV infection. Two hours post-modeling， the NC and IAV groups were administrated with normal saline by gavage， while other groups received corresponding drugs for 7 d. The body mass， survival status， and deaths of mice were recorded daily during the administration of the drugs. On days 3 and 7， the lung index was measured for mice in each group. Pathological changes in the lung tissue were observed via hematoxylin-eosin staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was conducted to measure the viral load （IAV-M） and the mRNA levels of Toll-like receptor 7 （TLR7）， p38 mitogen-activated protein kinase （p38 MAPK）， and nuclear factor-kappa B （NF-κB） in the lung tissue. Western blot was employed to measure the protein levels of p38 MAPK and NF-κB. Enzyme-linked immunosorbent assay was used to quantify serum levels of interleukin-2 （IL-2）， interleukin-6 （IL-6）， and tumor necrosis factor-alpha （TNF-α）. ResultsCompared with the NC group， the IAV group showed reduced survival quality and survival days （P<0.01）， lung congestion， inflammatory cell infiltration， elevated lung index （P<0.01）， increased viral load （P<0.01）， upregulated TLR7， p38 MAPK， and NF-κB levels （P<0.05， P<0.01）， decreased IL-2 level （P<0.01）， and elevated IL-6 and TNF-α levels （P<0.01）. Compared with the IAV group， H-JQD prolonged survival days （P<0.05）. All JQD groups alleviated pathological changes in the lung tissue and reduced the lung index （P<0.01）. M-JQD and H-JQD decreased the viral load （P<0.01）. H-JQD downregulated the mRNA levels of TLR7， p38 MAPK， and NF-κB （P<0.05， P<0.01） and the protein levels of p38 MAPK and NF-κB （P<0.01）， increased the serum IL-2 level （P<0.01）， and lowered the IL-6 and TNF-α levels （P<0.05， P<0.01）. M-JQD downregulated the mRNA level of NF-κB （P<0.01） and the protein level of p38 MAPK （P<0.05）， elevated the IL-2 level （P<0.01）， and lowered the TNF-α level （P<0.01）. ConclusionM- and H-JQD can prevent and control IAV infection-induced pneumonia dose-dependently by inhibiting the TLR7/MAPK/NF-κB signaling pathway， increasing IL-2， and reducing excessive secretion of IL-6 and TNF-α.

ObjectiveTo investigate the status of tooth loss in people aged 50 and above, so as to understand their oral health status and provide scientific evidences for promoting oral health of middle-aged and elderly people. MethodsA total of 400 patients who visited the department of stomatology at Sijing Hospital in Songjiang District of Shanghai were performed oral health examinations and their information was collected according to the national epidemiological survey standards for oral health. ResultsThere were statistically significant differences in tooth loss among people aged 50 and above with different ages, educational levels, occupations, types of medical insurance and chronic diseases (P<0.05), but gender and monthly income had no statistically significant correlations with tooth loss (P>0.05). Among lifestyle factors, smoking, alcohol consumption and tea drinking had no statistically significant impacts on the number of remaining teeth (P>0.05), but toothbrushing frequency, flossing frequency, toothpick use frequency, toothbrush replacement frequency, and tooth loosening were statistically associated with the number of remaining teeth (P<0.05). Multiple linear regression analyses indicated that a total of 7 related factors including age, educational level, occupation, medical payment type, chronic disease, tooth loosening and toothpick use frequency were significantly associated with the number level of remaining teeth in individuals aged 50 and above. ConclusionAge, chronic disease, and tooth loosening were influencing factors affecting the number of teeth left in people aged 50 and above. It is recommended to strengthen oral health education and improve healthcare awareness to reduce the risk of tooth loss in people aged 50 and above.

OBJECTIVE To investigate the induction of apoptosis in hepatocellular carcinoma cells by polyphyllin 9 （PP9） through the regulation of the Fas/Fas ligand （FasL） signaling pathway， and its inhibitory effect on the growth of transplanted tumor in nude mice. METHODS Based on the screening of cell lines and intervention conditions， HepG2 cells were selected as the experimental subject to investigate the effects of 2 μmol/L and 4 μmol/L PP9 treatment on cell colony formation activity， apoptosis rate， as well as the protein expressions of Fas， FasL， cleaved caspase-8 and cleaved caspase-3. Additionally， Fas inhibitor KR- 33493 was introduced to investigate the underlying mechanism of PP9’s anti-hepatocellular carcinoma activity. Using HepG2 cell tumor-bearing nude mice model as the object， and 5-fluorouracil （20 mg/kg） as the positive control， the effects of 10 mg/kg PP9 on tumor volume， tumor mass， and the protein expressions of the nuclear proliferation-associated antigen Ki-67 and cleaved caspase-3 in tumor-bearing nude mice were investigated. RESULTS Compared with the control group， 2， 4 μmol/L PP9 significantly decreased the number of clones and the clone formation rate of cells， but significantly increased the apoptosis rate， the protein expressions of Fas， FasL， cleaved caspase-8 and cleaved caspase-3 （P＜0.05 or P＜0.01）. However， the combination of Fas inhibitor KR-33493 could significantly reverse the effect of PP9 on the up-regulation of proteins related to the Fas/FasL signaling pathway （P＜0.01）. Compared with the control group， the tumor volume （on day 27）， mass and protein expression of Ki- 67 in nude mice of the PP9 group were significantly decreased， while the protein expression of cleaved caspase-3 was significantly increased （P＜0.01）. CONCLUSIONS PP9 can induce apoptosis of HepG2 cells by activating the Fas/FasL signaling pathway. Meanwhile， PP9 can also effectively inhibit the growth of transplanted tumors in nude mice.

Yinyang Gongji Pills have the effects of strengthening the body resistance to eliminate pathogenic factors, removing stasis, and reducing swelling, which is a commonly used traditional Chinese medicine(TCM) formula for treating intestinal accumulation. A real-world, registered, and single-arm clinical trial was conducted to observe the clinical efficacy and safety of Yinyang Gongji Pills combined with capecitabine in the treatment of advanced colorectal cancer and analyze the clinical characteristics of the patients. A total of 60 patients with advanced colorectal cancer who refused or could not tolerate standard treatment of western medicine were included in the study. They were treated with Yinyang Gongji Pills combined with capecitabine until disease progression or intolerable adverse events occurred. The main observation indicators were progression-free survival(PFS) and safety. The treatment effects of the patients under different baseline characteristics were analyzed. The clinical trial has found that the median PFS of all enrolled patients was 7.3 months, with 30.1% of patients having a PFS exceeding 12.0 months. Layered analysis showed that the median PFS of patients with the onset site being the colon and rectum were respectively 8.4 and 4.7 months. The median PFS of patients with high, medium, and low tumor burden were respectively 7.0, 4.7, and 10.8 months. The median PFS of patients with wild-type and mutant-type RAS/BRAF were respectively 7.9 and 6.9 months. The median PFS of patients with KPS scores ≥80 and ≤70 were respectively 7.9 and 6.5 months. The median PFS of patients treated with Yinyang Gongji Pills for ≥6, 3-6, and ≤3 months were respectively 8.0, 5.2, and 4.2 months. The median PFS of patients with spleen, kidney, liver, and lung syndrome differentiation in TCM were respectively 8.3, 6.7, 7.3, and 5.6 months. The median PFS of patients with TCM pathological factors including phlegm, dampness, and blood stasis were respectively 7.0, 7.3, and 6.5 months. Common adverse reactions include anemia, decreased white blood cells, decreased appetite, fatigue, and hand foot syndrome, with incidence rates being respectively 44.2%, 34.6%, 42.3%, 32.7%, and 17.3%. The results showed that the combination of Yinyang Gongji Pills and capecitabine demonstrated potential clinical efficacy and good safety in this study. The patients have clinical characteristics such as low tumor burden, onset site at the colon, KPS scores ≥ 80, long duration of oral TCM, and TCM syndrome differentiation including spleen or liver.
Humans ; Capecitabine/adverse effects* ; Colorectal Neoplasms/mortality* ; Drugs, Chinese Herbal/adverse effects* ; Male ; Middle Aged ; Female ; Aged ; Adult ; Treatment Outcome

As a member of the Citrus genus of the Rutaceae family, Citrus changshan-huyou(CSHY) is mainly produced in Quzhou city, Zhejiang province. Modern research shows that different medicinal parts of CSHY(immature fruit, mature fruit peel, flower buds, leaves, seeds, etc.) are abundant in flavonoids, terpenes, coumarins, phenolic acids, and volatile oils. Their pharmacological activities include respiratory system protection, liver protection, anti-inflammation, anti-hyperlipidemia, anti-hyperglycemia, and antioxidation. Based on the summarization of 374 chemical components in different medicinal parts of CSHY identified in the past 20 years, this study reviewed their pharmacological actions and mechanisms and further analyzed the current status of quality control of different medicinal parts of CSHY, aiming to provide reference for the resource development and exploitation and the quality control research of different medicinal parts of CSHY.
Citrus/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Plants, Medicinal/chemistry* ; Quality Control ; Animals

OBJECTIVE: To explore the accuracy of human-computer interaction software in identifying and locating type C1 distal radius fractures. METHODS: Based on relevant inclusion and exclusion criteria, 14 cases of type C1 distal radius fractures between September 2023 and March 2024 were retrospectively analyzed, comprising 3 males and 11 females(aged from 27 to 82 years). The data were assigned randomized identifiers. A senior orthopedic physician reviewed the films and measured the ulnar deviation angle, radial height, palmar inclination angle, intra-articular step, and intra-articular gap for each case on the hospital's imaging system. Based on the reduction standard for distal radius fractures, cases were divided into reduction group and non-reduction group. Then, the data were sequentially imported into a human-computer interaction intelligent software, where a junior orthopedic physician analyzed the same radiological parameters, categorized cases, and measured fracture details. The categorization results from the software were consistent with manual classifications (6 reduction cases and 8 non-reduction cases). For non-reduction cases, the software performed further analyses, including bone segmentation and fracture recognition, generating 8 diagnostic reports containing fracture recognition information. For the 6 reduction cases, the senior and junior orthopedic physicians independently analyzed the data on the hospital's imaging system and the AI software, respectively. Bone segments requiring reduction were identified, verified by two senior physicians, and measured for displacement and rotation along the X (inward and outward), Z (front and back), and Y (up and down) axes. The AI software generated comprehensive diagnostic reports for these cases, which included all measurements and fracture recognition details. RESULTS: Both the manual and AI software methods consistently categorized the 14 cases into 6 reduction and 8 non-reduction groups, with identical data distributions. A paired sample t-test revealed no statistically significant differences (P>0.05) between the manual and software-based measurements for ulnar deviation angle, radial ulnar bone height, palmar inclination angle, intra-articular step, and joint space. In fracture recognition, the AI software correctly identified 10 C-type fractures and 4 B-type fractures. For the 6 reduction cases, a total of 24 bone fragments were analyzed across both methods. After verification, it was found that the bone fragments identified by the two methods were consistent. A paired sample t-tests revealed that the identified bone fragments and measured displacement and rotation angles along the X, Y, and Z axes were consistent between the two methods. No statistically significant differences(P>0.05) were found between manual and software measurements for these parameters. CONCLUSION Human-computer interaction software employing AI technology demonstrated comparable accuracy to manual measurement in identifying and locating type C1 distal radius fractures on CT imaging.
Humans ; Male ; Female ; Radius Fractures/surgery* ; Middle Aged ; Adult ; Aged ; Aged, 80 and over ; Tomography, X-Ray Computed/methods* ; Retrospective Studies ; Software ; Wrist Fractures