ObjectiveTo study the effects of applying different microbial fertilizers on the growth and rhizosphere soil environment of Codonopsis pilosula and provide a theoretical basis for ecological cultivation of this medicinal plant. MethodsSeven groups were designed， including CK （no application of microbial fertilizer）， T1 （Trichoderma longibrachiatum fertilizer）， T2 （Bacillus subtilis fertilizer）， T3 （Trichoderma viride fertilizer）， T4 （compound microbial fertilizer）， T5 （C. pilosula stems and leaves fermented with compound microbial fertilizer）， and T6 （Scutellaria baicalensis stems and leaves fermented with T. viride fertilizer）. The physiological indicators， yield， and quality of C. pilosula and the physicochemical properties， enzyme activities， and microbial diversity in the rhizosphere soil of different fertilizer treatments were measured. ResultsGroup T1 showed slight decreases in soluble protein content （SPC） and superoxide dismutase （SOD）. Groups T2-T6 showed increases in physiological indicators such as proline （Pro）， soluble solids content （SSC）， SPC， catalase （CAT）， and peroxidase （POD） and a decrease in malondialdehyde （MDA） in C. pilosula leaves. All the fertilizer treatments increased the yield of C. pilosula and the total polysaccharide content in the roots. T1， T2， T3， T4， and T5 increased the total flavonoid content in the roots. Meanwhile， T4 increased the total saponin content in the roots. All the fertilizer treatments reduced the pH and increased the electric conductivity （EC）， soil organic matter （SOM）， and alkaline nitrogen （AN） in the soil. T2 and T5 increased the available phosphorus （AP）， and T3， T4， T5， and T6 increased the available potassium （AK） in the soil. All the fertilizer treatments increased the activities of urease， sucrase， and CAT in the soil. Except that T1 decreased the bacterial diversity in the soil， other fertilizer treatments significantly increased bacterial and fungal diversity in the soil. Different fertilizer treatments significantly affected the composition of bacterial and fungal communities in the soil. At the phylum level， the dominant bacterial phyla included Proteobacteria， Acidobacteriota， and Bacteroideta， and the dominant fungal phyla were Ascomycota， Mortierellomycota， and unclassified_fungi in the rhizosphere soil of C. pilosula after bacterial fertilizer treatment. At the genus level， unclassified Gemmatimonadaceae， Sphingomonas， and unclassified Vicinamibacteraceae were the dominant bacterial genera， while unidentified， unclassified Fungi， and unclassified Sordariomycetes were the dominant fungal genera in the rhizosphere soil. The results of redundancy analysis indicated that the main physicochemical factors affecting changes of microbial communities in the rhizosphere soil of C. pilosula were pH， EC， AK， AN， AP， and soil organic matter （SOM） in the soil. The correlation heatmap showed that Bryobacter had significantly positive correlations with EC， AK， and AN. There was a significantly negative correlation between Fusarium and SOM. In summary， applying an appropriate amount of microbial fertilizer can promote the growth and improve the rhizosphere soil environment of C. pilosula. ConclusionThe compound microbial fertilizer and the C. pilosula stems and leaves fermented with compound microbial fertilizer can improve the soil nutrients， growth， development， yield， and quality of C. pilosula， and thus they can be applied to the artificial cultivation of C. pilosula.

ObjectiveTo study the effects of applying different microbial fertilizers on the growth and rhizosphere soil environment of Codonopsis pilosula and provide a theoretical basis for ecological cultivation of this medicinal plant. MethodsSeven groups were designed， including CK （no application of microbial fertilizer）， T1 （Trichoderma longibrachiatum fertilizer）， T2 （Bacillus subtilis fertilizer）， T3 （Trichoderma viride fertilizer）， T4 （compound microbial fertilizer）， T5 （C. pilosula stems and leaves fermented with compound microbial fertilizer）， and T6 （Scutellaria baicalensis stems and leaves fermented with T. viride fertilizer）. The physiological indicators， yield， and quality of C. pilosula and the physicochemical properties， enzyme activities， and microbial diversity in the rhizosphere soil of different fertilizer treatments were measured. ResultsGroup T1 showed slight decreases in soluble protein content （SPC） and superoxide dismutase （SOD）. Groups T2-T6 showed increases in physiological indicators such as proline （Pro）， soluble solids content （SSC）， SPC， catalase （CAT）， and peroxidase （POD） and a decrease in malondialdehyde （MDA） in C. pilosula leaves. All the fertilizer treatments increased the yield of C. pilosula and the total polysaccharide content in the roots. T1， T2， T3， T4， and T5 increased the total flavonoid content in the roots. Meanwhile， T4 increased the total saponin content in the roots. All the fertilizer treatments reduced the pH and increased the electric conductivity （EC）， soil organic matter （SOM）， and alkaline nitrogen （AN） in the soil. T2 and T5 increased the available phosphorus （AP）， and T3， T4， T5， and T6 increased the available potassium （AK） in the soil. All the fertilizer treatments increased the activities of urease， sucrase， and CAT in the soil. Except that T1 decreased the bacterial diversity in the soil， other fertilizer treatments significantly increased bacterial and fungal diversity in the soil. Different fertilizer treatments significantly affected the composition of bacterial and fungal communities in the soil. At the phylum level， the dominant bacterial phyla included Proteobacteria， Acidobacteriota， and Bacteroideta， and the dominant fungal phyla were Ascomycota， Mortierellomycota， and unclassified_fungi in the rhizosphere soil of C. pilosula after bacterial fertilizer treatment. At the genus level， unclassified Gemmatimonadaceae， Sphingomonas， and unclassified Vicinamibacteraceae were the dominant bacterial genera， while unidentified， unclassified Fungi， and unclassified Sordariomycetes were the dominant fungal genera in the rhizosphere soil. The results of redundancy analysis indicated that the main physicochemical factors affecting changes of microbial communities in the rhizosphere soil of C. pilosula were pH， EC， AK， AN， AP， and soil organic matter （SOM） in the soil. The correlation heatmap showed that Bryobacter had significantly positive correlations with EC， AK， and AN. There was a significantly negative correlation between Fusarium and SOM. In summary， applying an appropriate amount of microbial fertilizer can promote the growth and improve the rhizosphere soil environment of C. pilosula. ConclusionThe compound microbial fertilizer and the C. pilosula stems and leaves fermented with compound microbial fertilizer can improve the soil nutrients， growth， development， yield， and quality of C. pilosula， and thus they can be applied to the artificial cultivation of C. pilosula.

This article systematically analyzes the historical evolution of the name， origin， medicinal parts， processing and other aspects of Euphorbiae Pekinensis Radix（EPR） by referring to the herbal medicine， medical books， prescription books and other documents of the past dynasties， combined with the relevant modern research materials， so as to provide a basis for the development and utilization of famous classical formulas containing this herbal medicine. According to research， EPR was first recorded in the Shennong Bencaojing in the name of Daji， and it is the correct name of the herbal medicine in all dynasties， there are also other aliases such as Qiongju， Hongya Daji， and Xiamaxian. The dried roots of Euphorbia pekinensis from Euphorbiaceae was the mainstream of the past dynasties. Before the Ming dynasty， the above ground parts of E. pekinensis were used as Zeqi in herbal works. However， since LI Shizhen in the Ming dynasty proposed that the origin of Zeqi should be E. helioscopia， the aerial part of EPR is no longer used as medicine. Since modern times， the roots of Knoxia valerianoides has been used as EPR， and has become the mainstream of commodities， which should be corrected. Throughout history， it has been recorded that the main producing areas were Jiangsu， Anhui， Zhejiang， Shanxi and other regions， while modern botanical survey have shown that EPR is a widespread species distributed throughout the country. In ancient times， the harvesting time of EPR was mostly the twelfth lunar month， while in modern time， it is more common to harvest in autumn and winter. The main processing methods of EPR in ancient times were vinegar processing， wine processing， and stir frying， while in modern times， it is uniformly vinegar processing. In the medicinal properties and clinical aspects， the records are basically consistent throughout history， mainly characterized by bitter taste， cold and toxic nature. Its main efficacy is expelling water retention and reducing swelling. Based on the textual research， it is suggested to choose the dried roots of E. pekinensis when famous classical formulas containing EPR， processing method can be based on the original specified prescription requirements， if the processing method is not clear， it is recommended to use vinegar-processed products as medicine.

Objective : To investigate the effects of cinnamaldehyde(CA) on the growth, metastasis and apoptosis of human endometriosis(EMs) cells and to explore whether the mechanism is related to ribosomal protein S7(RPS7) expression. Methods : Endometriosis cells were divided into control group, CA group, sh-NC group, CA+sh-RPS7 group. Effects of CA on cell growth in human endometriotic cells were determined using Cell Counting Kit-8(CCK-8) and colony formation assay. Effects of CA on cell metastasis were performed by motility assay and Transwell assay. Effects of CA on cell apoptosis were evaluated by Hoechst 33258 staining and flow cytometry. Meanwhile, the levels of PCNA, E-cadherin, Vimentin, Bax and Bcl-2 were evaluated using Western blot in human endometriotic cells with treatment CA. The expression of RPS7 was detected by qRT-PCR and Western blot assay. The RPS7 overexpression of human endometriotic cells was established by cell transfection. CA-mediated effects on cell proliferation and apoptosis were determined by CCK-8 assay and flow cytometry in human endometriotic cells with RPS7 overexpression. Results : CA repressed cell growth as well as down-regulated PCNA. The half inhibitory concentration(IC50) value was 53.60 μmol/L after 24 h treatment, and colony formation rate was 25.32%. Additionally, CA inhibited metastasis which was associated with downregulated Vimentin and upregulated E-cadherin. The relative migration rates were 35% and 29% as well as invasion rate was 40%. Further, CA induced apoptosis by cell cycle G2/M phase arrest and cell apoptosis rate was 25.1%, which related to the up-regulation of of Bax and the down-regulation of Bcl-2. CA inhibited the expression of RPS7 and overexpression of RPS7 promoted cell proliferation and suppressed apoptosis in CA-mediated cells. Conclusion CA inhibits cell growth, metastasis, and induces cell apoptosis by downregulating the expression of RPS7.

Objective:To systematically review the progress in the method development and application of distributed learning in the estimation of epidemiological effect and provide methodological reference for multi-center studies.Methods:We conducted a literature retrieval for English papers published up to December 31, 2023 by using keywords of "health/medical big data" and "distributed/federated learning". After consulting experts, we set criteria of paper inclusion and exclusion and created a framework for data extraction. We collected information about basic study details, including method, application, and evaluation. Two researchers independently screened the papers and extracted information. We used EndNote 20 for the management of literatures and EpiData for the management of data.Results:A total of 3 444 papers were collected, and 29 papers were included in the final analysis. Most of the papers (25, 86.2%) were published in or after 2019, and the papers were mainly from the United States (21/29, 72.4%). For the estimation of epidemiological effects, 22 distributed learning methods had been developed, including methods for logistic regression (8), Cox regression (8), Poisson regression (2), and generalized linear mixed model (GLMM) (4), as well as three platforms for distributed analysis (VLP, Vantage6, AusCAT). The 29 papers described 45 applications, with 20 (44.4%) focusing on the establishment of prediction model and 25 (55.6%) on association analysis. Importantly, except for GLMM, current distributed learning methods can estimate effects with little bias in 1-3 rounds of communication. These methods show less bias compared with meta-analysis, especially in the address of data heterogeneity and rare outcomes. However, less studies examined how differences in data structure and sparse data affect results, an area that requires further research.Conclusion:While distributed learning shows promise in epidemiological effect estimation, it is still in early development, requiring further research on data heterogeneity handling and communication efficiency improvement.

Objective:To systematically review the progress in the method development and application of distributed learning in the estimation of epidemiological effect and provide methodological reference for multi-center studies.Methods:We conducted a literature retrieval for English papers published up to December 31, 2023 by using keywords of "health/medical big data" and "distributed/federated learning". After consulting experts, we set criteria of paper inclusion and exclusion and created a framework for data extraction. We collected information about basic study details, including method, application, and evaluation. Two researchers independently screened the papers and extracted information. We used EndNote 20 for the management of literatures and EpiData for the management of data.Results:A total of 3 444 papers were collected, and 29 papers were included in the final analysis. Most of the papers (25, 86.2%) were published in or after 2019, and the papers were mainly from the United States (21/29, 72.4%). For the estimation of epidemiological effects, 22 distributed learning methods had been developed, including methods for logistic regression (8), Cox regression (8), Poisson regression (2), and generalized linear mixed model (GLMM) (4), as well as three platforms for distributed analysis (VLP, Vantage6, AusCAT). The 29 papers described 45 applications, with 20 (44.4%) focusing on the establishment of prediction model and 25 (55.6%) on association analysis. Importantly, except for GLMM, current distributed learning methods can estimate effects with little bias in 1-3 rounds of communication. These methods show less bias compared with meta-analysis, especially in the address of data heterogeneity and rare outcomes. However, less studies examined how differences in data structure and sparse data affect results, an area that requires further research.Conclusion:While distributed learning shows promise in epidemiological effect estimation, it is still in early development, requiring further research on data heterogeneity handling and communication efficiency improvement.

Objective: To investigate the associations between early life exposure to particulate matter with an aerodynamic diameter less than 2.5 μm (PM 2.5 ) and the risk of autism spectrum disorder (ASD) among school aged children. Methods: A total of 165 children with ASD and 165 age and gender matched typical development (TD) children were recruited. Children s basic information were obtained via questionnaires, and the severity of ASD symptoms was assessed with Social Responsiveness Scale (SRS). Early life PM 2.5 exposure (preconception, entire pregnancy, and the first two years after birth) were extracted from the Tracking Air Pollution in China (TAP) datasets. Conditional Logistic regression and generalized linear model were used to evaluate the associations of early life exposure to PM 2.5 with the risk and the ASD severity symptoms, respectively. Results: The PM 2.5 exposure of ASD group during preconception[(55.08±9.34)μg/m 3], entire pregnancy[(50.44±8.71)μg/m 3], the first year after birth [(45.04± 8.25 )μg/m 3] and the second year after birth [(40.19±7.12)μg/m 3] were significant higher than those in TD children [(47.66± 7.63 , 44.19±7.16, 38.95±6.07, 35.76±5.65)μg/m 3]( t =7.94, 7.13, 7.70, 6.32, P <0.05). After adjusting for potential confounding, each increase of 1 μg/m 3 in PM 2.5 was associated with higher risk of ASD during preconception ( OR=1.21, 95%CI =1.13-1.29), entire pregnancy( OR=1.18, 95%CI =1.11-1.26), the first year after birth ( OR=1.30, 95%CI =1.18-1.43) and the second year after birth ( OR=1.29, 95%CI =1.17-1.42). No similar results were observed regarding the analyses of SRS total and sub scale scores( P >0.05). Conclusion Early life exposure to PM 2.5 is relate to the risk of ASD, these findings indicated that more attention should be paid to ambient PM pollution in the early life prevention and control of ASD.

Objective To investigate the changes of brain function in moderate and high myopia patients using fractional amplitude of low frequency fluctuation (fALFF),and discuss the correlation between brain function changes and clinical data of patients with myopia.Methods Totally 21 moderate and high myopia patients (myopia group),and 21 healthy volunteers (normal control group) who were matched with myopia patients in age and gender,were selected to take rs-fMRI examination.The difference of fALFF of brain functional activity in patients with myopia and normal controls was compared,and the correlation between the changes of fALFF and clinical data of patients with myopia was analyzed,Results Compared with normal control group,the fALFF values of myopia group in the region of the left inferior frontal gyrus,putamen and right inferior frontal gyrus,putamen and insula were significantly lower (all P ＜ 0.05,AlphaSim corrected).However,in bilateral cingulate gyrus,bilateral anterior cingulate gyrus,left postcentral gyrus,left superior parietal lobule and region,fALFF values were increased (all P ＜ 0.05,AlphaSim corrected).Conclusion Patients with myopia are accompanied by abnormal neuronal activity in many brain areas,which may reflect the dysfunction of language understanding and attention control in myopic patients.

Objective To investigate the effect of acupuncture at Huatuo jiaji points plus virtual balancing game on balance function in stroke patients.Methods Fifty patients with poststroke balance dysfunction were randomly allocated: 25 cases to the treatment group and 25 cases to the control groups. The treatment group received acupuncture at Huatuo jiaji points plus virtual balancing game-based rehabilitation training and the control group, virtual balancing game-based rehabilitation training alone. The Berg Balance Scale (BBS) score, the Timed Up and Go Test (TUGT) score, the COP offset distance indices (EO2, EC2, EOTS and EO1) and the modified Barthel Index (MBI) score were recorded in the two groups before and after treatment.Results There were statistically significant pre-/post-treatment differences in the BBS score, the TUGT score, the COP offset distance indices and the MBI score in the two groups of patients (P<0.05). There were statistically significant post-treatment differences in the BBS score, the TUGT score, the COP offset distance indices and the MBI score between the treatment and control groups (P<0.05).Conclusion Acupuncture at Huatuo jiaji points plus virtual balancing game is an effective way to treat poststroke balance dysfunction.