Background Fine particulate matter (PM_2.5) monitoring stations may generate missing data for a certain period of time due to various factors. This data loss will adversely affect air quality assessment and pollution control decision-making. Objective To propose an inverse distance weighted (IDW) spatiotemporal interpolation method based on particle swarm optimization (PSO) to interpolate and fill missing PM_2.5 spatiotemporal sequence data and increase interpolation accuracy. Methods An interpolation experiment was designed into two parts. The first part used hourly PM_2.5 observational data from four moments on January 1, 2017 in the Yangtze River Delta region. The second part employed daily PM_2.5 observational data from the first 10 d of January 2017 in the Beijing-Tianjin-Hebei region. Interpolation accuracy was evaluated using four metrics: root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and mean relative error (MRE). Results IDW spatiotemporal interpolation method optimized with PSO significantly improved the accuracy of filling missing PM_2.5 spatiotemporal sequence data. In the hourly-scale experiment conducted in the Yangtze River Delta region, compared to a distance index of 2, the accuracy metrics RMSE, MAE, MAPE, and MRE generated by the proposed method improved on average by 0.17 μg·m⁻³, 0.27 μg·m⁻³, 0.17%, and 0.01%, respectively. The PM_2.5 spatial field maps generated for four moments based on this method clearly illustrated the spatiotemporal distribution characteristics of hourly PM_2.5 concentrations in the Yangtze River Delta region. In the daily-scale experiment conducted in the Beijing-Tianjin-Hebei region, the PSO-optimized distance index outperformed the traditional method, with interpolation accuracy improvements of approximately 0.215 μg·m⁻³, 0.283 μg·m⁻³, 0.174%, and 0.014%, respectively. Furthermore, the seasonal PM_2.5 spatial field maps generated by this method revealed the spatiotemporal distribution characteristics of PM_2.5 concentrations in the Beijing-Tianjin-Hebei region across different seasons, further validating the effectiveness and applicability of this method. Conclusion The IDW spatiotemporal interpolation method optimized with PSO is highly accurate and reliable for interpolating the missing data in the Yangtze River Delta region and the Beijing-Tianjin-Hebei region, providing valuable insights for air pollution control and public health protection.

ObjectiveTo investigate the therapeutic effect of the water extract of Zanthoxylum bungeanum aqueous extract（ZBAE）on rheumatoid arthritis. MethodThe sixty SD rats were divided into normal group， model group ［complete Freund's adjuvant （CFA）， 10 mg·kg^-1］， methotrexate（MTX） group （0.25 mg·kg^-1）， low -， medium -， and high-dose ZBAE groups （90， 180， 360 mg·kg^-1）. The rats in MTX group were given intraperitoneal injection for two weeks， three times a week， and the rats in ZBAE group were administrated for 14 days. The swelling of the ankle joint and body weight were observed， and arthritis scores were also performed. Computed tomography （CT）， hematoxylin-eosin （HE） staining and safranine-O and fast green staining were used to observe the effect of ZBAE on synovial hyperplasia and bone protection. Cell counting kit-8（CCK-8）method was used to detect the proliferation of the RA-FLSs cells treated with ZBAE. According to the results of CCK-8 experiment， the optimal concentration and time of administration were determined， blank group， low -， medium -， and high-dose ZBAE groups （0.08，0.10，0.12 g·L^-1） were set up. The cell cycle distribution and apoptosis rate were analyzed by flow cytometry，the migration ability of RA-FLSs cells was examined by scratch test. Western blot was used to detect the effect of ZBAE on phosphatidylinositol 3-kinase （PI3K）， protein kinase B （Akt）， cyclin-dependent kinase 2 （CDK2）， Cyclin A and phosphorylated PI3K， Akt （p-PI3K，p-Akt） protein expression in RA-FLSs cells. ResultCompared with the normal group，joint swelling index and arthritis score were increased in the model group （P<0.05），the bone of the ankle was seriously damaged， and there was obvious synovial hyperplasia. Compared with the model group， the ZBAE group could significantly reduce the joint swelling index （P<0.05）， inhibit synovial hyperplasia and cartilage destruction. In vitro study showed that compared with the blank group， ZBAE could inhibit the migration of RA-FLSs （P<0.05）， promoted cell apoptosis （P<0.05）， and acted on RA-FLSs cells in S phase to inhibit cell proliferation. Moreover， the result of Western blot showed that compared with the blank group， the expression of p-PI3K， p-Akt， CDK2 and Cyclin A proteins were significantly decreased in the high dose group of ZBAE （P<0.05）. ConclusionThese results suggest that ZBAE has a therapeutic effect on rheumatoid arthritis by inhibiting synovial hyperplasia， promoting synovial apoptosis and inhibiting its migration.

Tumor-associated tertiary lymphoid structures(TLSs)are ectopic lymphoid formations within tumor tissue,with mainly B and T cell populations forming the organic aggregates.The presence of TLSs in tumors has been strongly associated with patient responsiveness to immunotherapy regimens and improving tumor prognosis.Researchers have been motivated to actively explore TLSs due to their bright clinical application prospects.Various studies have attempted to decipher TLSs regarding their formation mechanism,structural composition,induction generation,predictive markers,and clinical utilization.Meanwhile,the scientific approaches to qualitative and quantitative descriptions are crucial for TLS studies.In terms of detection,hematoxylin and eosin(H&E),multiplex immunohistochemistry(mIHC),multiplex immunofluorescence(mIF),and 12-chemokine gene signature have been the top approved methods.However,no standard methods exist for the quantitative analysis of TLSs,such as absolute TLS count,analysis of TLS constituent cells,structural features,TLS spatial location,density,and maturity.This study reviews the latest research progress on TLS detection and quantification,proposes new directions for TLS assessment,and addresses issues for the quantitative application of TLSs in the clinic.

Cancer is a heterogeneous disease with complex mechanisms that requires targeted precision medicine strategies. The growth of precision medicine is indispensable from the rapid development of genomics. However, genomics has certain limitations in molecular phenotype analysis, proteogenomics thus arose at the right time. Proteogenomics is the merging of proteomics and genomics. This review describes the limitations of genomic analysis and highlights the importance of proteogenomics to re-understand precision oncology from a proteogenomic perspective. In addition, the application of proteogenomics in precision oncology is briefly introduced, the related public data projects are described, and finally, the challenges that need to be addressed at this stage are proposed.
Humans ; Proteogenomics ; Precision Medicine ; Neoplasms/genetics* ; Proteomics ; Genomics