Alzheimer’s disease (AD) is a prevalent neurodegenerative condition characterized by progressive cognitive decline and memory loss. As the incidence of AD continues to rise annually, researchers have shown keen interest in the active components found in natural plants and their neuroprotective effects against AD. Quercetin, a flavonol widely present in fruits and vegetables, has multiple biological effects including anticancer, anti-inflammatory, and antioxidant. Oxidative stress plays a central role in the pathogenesis of AD, and the antioxidant properties of quercetin are essential for its neuroprotective function. Quercetin can modulate multiple signaling pathways related to AD, such as Nrf2-ARE, JNK, p38 MAPK, PON2, PI3K/Akt, and PKC, all of which are closely related to oxidative stress. Furthermore, quercetin is capable of inhibiting the aggregation of β‑amyloid protein (Aβ) and the phosphorylation of tau protein, as well as the activity of β‑secretase 1 and acetylcholinesterase, thus slowing down the progression of the disease.The review also provides insights into the pharmacokinetic properties of quercetin, including its absorption, metabolism, and excretion, as well as its bioavailability challenges and clinical applications. To improve the bioavailability and enhance the targeting of quercetin, the potential of quercetin nanomedicine delivery systems in the treatment of AD is also discussed. In summary, the multifaceted mechanisms of quercetin against AD provide a new perspective for drug development. However, translating these findings into clinical practice requires overcoming current limitations and ongoing research. In this way, its therapeutic potential in the treatment of AD can be fully utilized.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

Objective: To analyze the trend in burden of rheumatoid arthritis (RA) in China from 1990 to 2021, so as to provide insights into reducing the RA burden in China. Methods: Data of Global Burden of Disease Study 2021 were collected, and the incidence, mortality and disability-adjusted life years (DALY) of RA in China from 1990 to 2021 were analyzed and compared with global and different Socio-demographic Index (SDI) regions. The trend in burden of RA was analyzed using average annual percent change (AAPC). Results: The crude incidence rates of RA in China increased from 10.87/105 in 1990 to 17.38/105 in 2021, the crude mortality rates increased from 0.41/105 to 0.72/105, and the crude DALY rates increased from 34.26/105 to 58.61/105, with the increases of 59.98%, 77.95% and 71.06%, respectively. From 1990 to 2021, the standardized incidence rates of RA in China showed an increasing trend (AAPC=0.545%, P<0.05), the standardized mortality rates showed a decreasing trend (AAPC=-0.783%, P<0.05), and the standardized DALY rates showed no significant trend (AAPC=-0.017%, P>0.05). In 2021, the standardized incidence rate, standardized mortality rate and standardized DALY rate of RA were higher in females than in males; from 1990 to 2021, the standardized DALY rates of RA showed a decreasing trend in females (AAPC=-0.200%, P<0.05) and an increasing trend in males (AAPC=0.316%, P<0.05). The crude incidence rates of RA first increased and then decreased with age in 2021, reaching the highest in the age group of 75-<80 years at 34.36/105. Both the crude mortality rates and the crude DALY rates increased with age, reaching the highest in the age group of 95 years and older at 26.72/105 and 285.67/105, respectively. The standardized incidence rates and standardized DALY rates of RA in China in 2021 were lower than those in high SDI regions, while the standardized mortality rate was lower than that in medium-low SDI regions. Conclusions The burden of RA in China from 1990 to 2021 showed an upward trend, and was at a high level compared to different SDI regions. Higher disease burden of RA was seen in females and the elderly.

OBJECTIVE To investigate the effects of imperatorin （IMP-SD） on malignant biological behavior of gastric cancer （GC） cells by regulating zinc finger and BTB domain 7B （ThPOK）. METHODS Human GC cells MKN-7 were used as the research object and then divided into control group （no treatment）， IMP-SD low-， medium- and high-concentration groups （40， 80 and 160 μmol/L IMP-SD）， si-ThPOK and si-NC group [treated with 160 μmol/L IMP-SD and then transfected with ThPOK small interfering RNA （si-ThPOK） or its negative control （si-NC）]. After treatment， cell clone formation， migration and invasion abilities and apoptosis of MKN-7 cells were detected； the killing activity of NK cells， T cells classification， the protein expressions of ThPOK， programmed death-1 （PD-1） and programmed death-ligand 1 （PD-L1） were all determined. RESULTS Compared with the control group， the number of cell clones， migration number， invasion number， and the protein expressions of PD-1 and PD-L1 were decreased or down-regulated significantly in IMP-SD groups， while the cell apoptotic rate， NK cell killing activity， CD4+ T proportion， the ratio of CD4+ T proportion and CD8+ T proportion （CD4+ T/CD8+ T）， and the protein expression of ThPOK were increased or up-regulated significantly， in a concentration-dependent manner （P＜0.05）. Compared with IMP-SD high-concentration group and si-NC group， the number of cell clones， migration number， invasion number， and the protein expressions of PD-1 and PD-L1 were increased or up-regulated significantly in si-ThPOK group， while the cell apoptotic rate， NK cell killing activity， CD4+ T proportion， CD4+ T/CD8+ T， and the protein expression of ThPOK were decreased or down-regulated significantly （P＜0.05）. CONCLUSIONS IMP-SD may reduce the clonal formation， migration and invasion abilities of GC cells， promote their apoptosis and inhibit their immune escape by promoting ThPOK expression.

OBJECTIVE To investigate the effects of imperatorin （IMP-SD） on malignant biological behavior of gastric cancer （GC） cells by regulating zinc finger and BTB domain 7B （ThPOK）. METHODS Human GC cells MKN-7 were used as the research object and then divided into control group （no treatment）， IMP-SD low-， medium- and high-concentration groups （40， 80 and 160 μmol/L IMP-SD）， si-ThPOK and si-NC group [treated with 160 μmol/L IMP-SD and then transfected with ThPOK small interfering RNA （si-ThPOK） or its negative control （si-NC）]. After treatment， cell clone formation， migration and invasion abilities and apoptosis of MKN-7 cells were detected； the killing activity of NK cells， T cells classification， the protein expressions of ThPOK， programmed death-1 （PD-1） and programmed death-ligand 1 （PD-L1） were all determined. RESULTS Compared with the control group， the number of cell clones， migration number， invasion number， and the protein expressions of PD-1 and PD-L1 were decreased or down-regulated significantly in IMP-SD groups， while the cell apoptotic rate， NK cell killing activity， CD4+ T proportion， the ratio of CD4+ T proportion and CD8+ T proportion （CD4+ T/CD8+ T）， and the protein expression of ThPOK were increased or up-regulated significantly， in a concentration-dependent manner （P＜0.05）. Compared with IMP-SD high-concentration group and si-NC group， the number of cell clones， migration number， invasion number， and the protein expressions of PD-1 and PD-L1 were increased or up-regulated significantly in si-ThPOK group， while the cell apoptotic rate， NK cell killing activity， CD4+ T proportion， CD4+ T/CD8+ T， and the protein expression of ThPOK were decreased or down-regulated significantly （P＜0.05）. CONCLUSIONS IMP-SD may reduce the clonal formation， migration and invasion abilities of GC cells， promote their apoptosis and inhibit their immune escape by promoting ThPOK expression.

BACKGROUND:At present,osteoarthritis has become a major disease affecting the quality of life of the elderly,and the therapeutic effect is poor,often focusing on preventing the disease process,and the pathogenesis of osteoarthritis is still not fully understood.Bioinformatics analysis was carried out to explore the main pathogenesis of osteoarthritis and related mechanisms of gene coding regulation. OBJECTIVE:To screen core differential genes with a major role in osteoarthritis by gene expression profiling. METHODS:Datasets were downloaded from the Gene Expression Omnibus(GEO):GSE114007,GSE117999,and GSE129147.Differential genes in the GSE114007 and GSE117999 data collections were screened using R software,performing differential genes to weighted gene co-expression network analysis.The module genes most relevant to osteoarthritis were selected to perform protein interaction analysis.Candidate core genes were selected using the cytocape software.The candidate core genes were subsequently subjected to least absolute shrinkage and selection operator regression and COX analysis to identify the core genes with a key role in osteoarthritis.The accuracy of the core genes was validated using an external dataset,GSE129147. RESULTS AND CONCLUSION:(1)A total of 477 differential genes were identified,265 differential genes associated with osteoarthritis were obtained by weighted gene co-expression network analysis,and 8 candidate core genes were identified.The least absolute shrinkage and selection operator regression analysis finally yielded a differential gene ASPM with core value that was externally validated.(2)It is concluded that abnormal gene ASPM expression screened by bioinformatics plays a key central role in osteoarthritis.

Objective: To analyze the status and trends of the disease burden of periodontal disease among women of reproductive age (15-49 years) in China from 1990 to 2021, and to provide a reference for the development of periodontal disease prevention and control strategies for women of reproductive age. Methods: Using the global burden of disease (GBD) data from 1990 to 2021, this study investigated the periodontal disease burden among women of reproductive age, including prevalence, incidence, disability-adjusted life years (DALYs), DALY rates, and their corresponding standardized indicators. Joinpoint 5.2.0.0 software was used for time trend analysis of DALYs, age-specific DALY rates, and annual average percentage change (AAPC) values. A log-linear regression model was used to test trends for DALYs and DALY rates. Results: Compared with 1990, the prevalence and incidence of periodontal disease among Chinese women in 2021 increased by 45.67% (per 100,000 people) and 29.29% (per 100,000 people), respectively. The distribution of periodontal disease among women (15-49 years) showed a continuous and rapid upward trend, with the growth rate increasing rapidly with age. The number of cases increased the fastest in the 45-49 age group, and the prevalence increased the fastest in the 35-44 age group. The incidence of periodontal disease continued to rise with age, with the fastest increase in the 35-44 age group among women of reproductive age. The Joinpoint regression model results showed that periodontal disease led to an expanding trend in the disease burden among women of reproductive age in China, with an AAPC of DALYs = 1.20% and an AAPC of DALY rate = 1.25% (P<0.001). Conclusion The periodontal disease burden among Chinese women aged 15-49 years showed a gradually increasing trend from 1990 to 2021.

Twelve compounds were isolated from the rice fermentation extracts of Penicillium expansum GY618 by silica column chromatography, Sephadex gel column chromatography, ODS column chromatography and semi preparative HPLC methods. They were determined as 11-hydroxyl-penicitrinone F (1), penicitrinone F (2), betulin (3), erythrodiol (4), ergosterol (5), ergost-5α,8α-epidioxy-6,22-dien-3β-ol (6), (5α,8α-epidioxy-(22E,24R)-ergosta-6,9(11),22-trien-3β-ol) (7), 5α,8α-epidioxy-(22E,24R)-23-methylergosta-6,22-dien-3β-ol (8), 5α,8α-epidioxy- 23,24(R)-dimethylcholesta-6,9(11),22-trien-3β-ol (9), dankasterone A (10), (17R)-4-hydroxy-17-methylincisterol (11) and ergosta-4,6,8(14),22-tetraen-3-one (12), through mass spectrometer, nuclear magnetic resonance (NMR) and comparison with the literature. Compound 1 was a new compound and compounds 2-4, 6-12 were isolated from Penicillium expansum fungus for the first time. The tyrosinase inhibitory activity experiment showed that compounds 1, 3 and 12 showed certain inhibitory activity against tyrosinase with IC₅₀ values of (75 ± 9), (69 ± 8) and (64 ± 2) μmol·L^-1, respectively. The IC₅₀ of other compounds were all greater than 100 μmol·L^-1, while IC₅₀ of the positive control kojic acid was (46 ± 4) μmol·L^-1.

Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.

ObjectiveIn the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms. MethodsITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples. ResultsAmong the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted. ConclusionSignificant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.