Aim To observe the effect of Astragalus membranaceus and Angelica sinensis on the apoptosis of chondrocytes,and to investigate the effect of Astrag-alus membranaceus and Angelica sinensis on the sur-vival of fresh ostecartilage allograft.Methods Forty-eight 4-month-old New Zealand white rabbits,half male and half female,were randomly divided into sham operation group,model group,positive group and As-tragalus and Angelica 5∶1 group.In addition to the sham operation group,the other groups were both male and female donors and recipients for knee joint osteo-cartilage cross transplantation modeling.After 8 weeks of drug intervention,samples were taken for general observation,HE staining,saffrane-O staining,immu-nohistochemical staining,qPCR and Western blot de-tection.Results Compared with model group,As-tragalus and Angelica 5∶1 group and positive group,the repair site healed better,the morphology of osteo-chondrocytes tended to be normal,and the division and proliferation were obvious.Proteoglycan deposition in-creased and type Ⅱ collagen content was higher,the differences were statistically significant(P＜0.05).qPCR and Western blot results showed that compared with model group,the mRNA and protein expressions of Bax,caspase-3 and caspase-9 in other groups were significantly decreased(P＜0.05).Conclusion As-tragalus and Angelica can promote the survival of fresh osteochondral allograft,and its mechanism may be re-lated to promoting collagen production,promoting chondrocyte proliferation and inhibiting chondrocyte apoptosis.

In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning ; Drugs, Chinese Herbal/analysis* ; Medicine, Chinese Traditional/methods* ; Humans ; Quality Control

Identification of critical material attributes(CMAs) is a key issue in the quality control of large-scale TCM products like Jianwei Xiaoshi Tablets. This study focuses on the granules of Jianwei Xiaoshi Tablets, using tablet tensile strength as the primary quality attribute. A method for identifying the CMAs and a design space for the granules were established, along with a predictive model for the granule CMAs based on Fourier transform near-infrared spectroscopy(FT-NIR). First, granules of Jianwei Xiaoshi Tablets with different properties were prepared using a partial factorial design method from the design of experiments(DOE). The powder properties of the granules were measured. An orthogonal partial least squares(OPLS) model was established to correlate the powder properties with tensile strength. Based on the characteristics of the comprehensive variables extracted by OPLS, the independent variables with the greatest explanatory power for tensile strength were identified. FT-NIR technology was then employed to establish a predictive model for the granule CMAs. The final CMAs identified were hygroscopicity, moisture content, D_(50), collapse angle, mass flow rate, and tapped density. The coefficients of determination of the prediction set(R■) and relative percentage deviation(RPD) of the prediction set for flowability, D_(50), and moisture content were 0.891, 0.994, and 0.998; and 2.97, 12.4, and 20.7, respectively. The established OPLS model clearly identified the impact of various factors on tensile strength, demonstrating good fit results. The model exhibited high prediction accuracy and can be used for the rapid and accurate determination of CMAs in granules of Jianwei Xiaoshi Tablets.
Drugs, Chinese Herbal/chemistry* ; Tablets/chemistry* ; Tensile Strength ; Quality Control ; Spectroscopy, Fourier Transform Infrared ; Spectroscopy, Near-Infrared

Objective: To identify the antibiotic resistance, virulence genes, and sequence types of Pseudomonas aeruginosa (P. aeruginosa) strains isolated from blood. Methods: From November 2014 to December 2021, a total of 94 nonrepetitive P. aeruginosa isolates were obtained from blood samples of patients at the First Affiliated Hospital of Shandong First Medical University in Shandong Province, China. The bacteria were identified using matrix-assisted laser desorption ionization time of flight mass spectrometry. Antibiotic resistance of the P. aeruginosa isolates was detected using Vitek 2 Compact system. Polymerase chain reaction (PCR) was conducted for the 18 virulence genes, and multi locus sequence typing (MLST) was performed to identify the sequence types of the P. aeruginosa strains. The resistance rates and distributions of virulence genes between carbapenem resistant pseudomonas aeruginosa (CRPA) and carbapenem susceptible pseudomonas aeruginosa (CSPA) isolates were compared using the Chi-square test. Results: Among 94 P. aeruginosa isolates, 19 (20.2%) isolates were found to be multidrug resistant (MDR) bacteria, of which 17 were CRPA isolates and 2 were CSPA isolates. All strains contained more than 10 virulence genes. Except for exoU gene, the detection rate of other genes was above 83%. MLST analysis revealed a total of 66 different STs, including 59 existing STs and 7 novel STs. Among them, ST244 (n=11, 11.7%) and ST270 (n=7, 7.4%) were the dominant STs. Although these two types of isolates harbored the same virulence genes, the resistance rates to carbapenem were different. 54.5% (6/11) ST244 isolates were CRPA but all 7 ST270 isolates were CSPA. Conclusion: Although the resistance rates of P. aeruginosa strains isolated from blood were at a low level, some MDR and CRPA isolates were detected. As the high virulence gene detection rates and genetic diversity were found for P. aeruginosa strains isolated from blood, close attention should be paid to avoid transmission and outbreaks.
Humans ; Pseudomonas aeruginosa/genetics* ; Multilocus Sequence Typing ; Molecular Epidemiology ; Pseudomonas Infections/microbiology* ; Microbial Sensitivity Tests ; Hospitals ; Carbapenems/pharmacology* ; Drug Resistance, Multiple, Bacterial/genetics* ; Anti-Bacterial Agents/pharmacology* ; beta-Lactamases

Objective: To identify the antibiotic resistance, virulence genes, and sequence types of Pseudomonas aeruginosa (P. aeruginosa) strains isolated from blood. Methods: From November 2014 to December 2021, a total of 94 nonrepetitive P. aeruginosa isolates were obtained from blood samples of patients at the First Affiliated Hospital of Shandong First Medical University in Shandong Province, China. The bacteria were identified using matrix-assisted laser desorption ionization time of flight mass spectrometry. Antibiotic resistance of the P. aeruginosa isolates was detected using Vitek 2 Compact system. Polymerase chain reaction (PCR) was conducted for the 18 virulence genes, and multi locus sequence typing (MLST) was performed to identify the sequence types of the P. aeruginosa strains. The resistance rates and distributions of virulence genes between carbapenem resistant pseudomonas aeruginosa (CRPA) and carbapenem susceptible pseudomonas aeruginosa (CSPA) isolates were compared using the Chi-square test. Results: Among 94 P. aeruginosa isolates, 19 (20.2%) isolates were found to be multidrug resistant (MDR) bacteria, of which 17 were CRPA isolates and 2 were CSPA isolates. All strains contained more than 10 virulence genes. Except for exoU gene, the detection rate of other genes was above 83%. MLST analysis revealed a total of 66 different STs, including 59 existing STs and 7 novel STs. Among them, ST244 (n=11, 11.7%) and ST270 (n=7, 7.4%) were the dominant STs. Although these two types of isolates harbored the same virulence genes, the resistance rates to carbapenem were different. 54.5% (6/11) ST244 isolates were CRPA but all 7 ST270 isolates were CSPA. Conclusion: Although the resistance rates of P. aeruginosa strains isolated from blood were at a low level, some MDR and CRPA isolates were detected. As the high virulence gene detection rates and genetic diversity were found for P. aeruginosa strains isolated from blood, close attention should be paid to avoid transmission and outbreaks.
Humans ; Pseudomonas aeruginosa/genetics* ; Multilocus Sequence Typing ; Molecular Epidemiology ; Pseudomonas Infections/microbiology* ; Microbial Sensitivity Tests ; Hospitals ; Carbapenems/pharmacology* ; Drug Resistance, Multiple, Bacterial/genetics* ; Anti-Bacterial Agents/pharmacology* ; beta-Lactamases

To investigate the effect of inactivated new tu-berculosis vaccine strain(B/R strain)on immune memory of T lymphocytes in mice,C57BL/6 mice were immunized with PBS,BCG strain,B/R strain and inactivated B/R strain.At week 9,12 and 15 after immunization,the spleens of each group were taken,and the spleen lymphocytes were extracted.Half of the spleen lymphocytes in each group were directly de-tected,and the rest were cultured in vitro and stimulated with PPD according to the experimental design.Flow cytometry was used to detect the number of central memory T cells(TCM)and effector memory T cells(TEM)in spleen lymphocytes of uns-timulated and stimulated mice.Without PPD stimulation after immunization,the CD4+TCM(F=13.20,P＜0.05)and CD4+TEM(F=28.15,P＜0.05)induced by inactivated B/R group,B/R group and BCG group was higher than that of PBS group at week 9.The induced CD8+TCM(F=8.92,P＜0.05)and CD8+TEM(F=6.13,P＜0.05)was higher than that of PBS group.At week 12,the CD4+TCM(F=15.97,P＜0.05)and CD4+TEM(F=13.60,P＜0.05)induced by each group was higher than that of PBS group.The induced CD8+TCM(F=5.52,P＜0.05)and CD8+TEM(F=20.15,P＜0.05)was higher than that of PBS group.At week 15,the CD4+TCM(F=15.40,P＜0.05)and CD4+TEM(F=7.43,P＜0.05)induced by each group was higher than that of PBS group.The induced CD8+TCM(F=6.57,P＜0.05)and CD8+TEM(F=9.27,P＜0.05)was higher than that of PBS group.At week 9,the CD4+TCM(F=9.66,P＜0.05)and CD4+TEM(F=11.20,P＜0.05)induced by inacti-vated B/R group,B/R group and BCG group was higher than that of PBS group.The induced CD8+TCM(F=7.24,P＜0.05)and CD8+TEM(F=9.30,P＜0.05)was higher than that of PBS group.At week 12,the CD4+TCM(F=9.33,P＜0.05)and CD4+TEM(F=6.94,P＜0.05)induced by each group was higher than that of PBS group.The induced CD8+TCM(F=67.71,P＜0.05)and CD8+TEM(F=10.86,P＜0.05)was higher than that of PBS group.At week 15,the CD4+TCM(F=39.88,P＜0.05)and CD4+TEM(F=11.93,P＜0.05)induced by each group was higher than that of PBS group.The induced CD8+TCM and CD8+TEM(F=38.47,P＜0.05)was higher than that of PBS group(F=138.80,P＜0.05).It is worth noting that at week 15,the CD8+TCM(qinactivated B/R=12.24,qB/R=12.61,P＜0.05)and CD8+TEM(qinactivated B/R=7.19,qB/R=5.00,P＜0.05)induced by inactivated B/R group and B/R group were higher than those of BCG group.The immunizing mice with inactivated B/R strain,the ability of inducing immune memory of T lymphocytes in mice was equivalent to that of B/R strain.Heat-inacti-vation did not affect the ability of B/R strain to induce immune memory in mice.

Objective （ ） To explore the influence of perceived organizational support POS and psychological resilience on （ - ）Methods presenteeism behavior in medical staff in the prevention and control of coronavirus disease COVID 19 . Doctors - - and nurses engaged in the front line work of prevention and control in the four designated hospitals for the treatment of COVID ， 19 in Guangdong Province Hunan Province and Jiangsu Province were selected as the research subjects using a random cluster ， - - sampling method. The Survey of Perceived Organizational Support Scale the 10 item Connor Davidson Resilience Scale and - ， Results Standford Presenteeism Scale 6 were used to investigate their POS psychological resilience and presenteeism. The ， （ ），（ ） （ ）， total scores of POS psychological resilience and presenteeism were 44.9±7.6 31.2±5.7 and 18.5±3.7 respectively. （ Both POS and psychological resilience had negative effect on presenteeism standardized regression coefficient were −0.59 ， P ） ［ and −0.38 both <0.01 . Psychological resilience played a partial mediating role between POS and presenteeism 95% （ - ）， ］ Conclusion confidence interval −0.22 −0.09 the mediating effect ratio was 23.4% . Both POS and psychological - ， resilience can directly affect the presenteeism behavior of medical staff in COVID 19 prevention and control and POS can also indirectly affect their presenteeism by affecting psychological resilience.

Objective （ ） To explore the influence of perceived organizational support POS and psychological resilience on （ - ）Methods presenteeism behavior in medical staff in the prevention and control of coronavirus disease COVID 19 . Doctors - - and nurses engaged in the front line work of prevention and control in the four designated hospitals for the treatment of COVID ， 19 in Guangdong Province Hunan Province and Jiangsu Province were selected as the research subjects using a random cluster ， - - sampling method. The Survey of Perceived Organizational Support Scale the 10 item Connor Davidson Resilience Scale and - ， Results Standford Presenteeism Scale 6 were used to investigate their POS psychological resilience and presenteeism. The ， （ ），（ ） （ ）， total scores of POS psychological resilience and presenteeism were 44.9±7.6 31.2±5.7 and 18.5±3.7 respectively. （ Both POS and psychological resilience had negative effect on presenteeism standardized regression coefficient were −0.59 ， P ） ［ and −0.38 both <0.01 . Psychological resilience played a partial mediating role between POS and presenteeism 95% （ - ）， ］ Conclusion confidence interval −0.22 −0.09 the mediating effect ratio was 23.4% . Both POS and psychological - ， resilience can directly affect the presenteeism behavior of medical staff in COVID 19 prevention and control and POS can also indirectly affect their presenteeism by affecting psychological resilience.

Objective （ ） To explore the influence of perceived organizational support POS and psychological resilience on （ - ）Methods presenteeism behavior in medical staff in the prevention and control of coronavirus disease COVID 19 . Doctors - - and nurses engaged in the front line work of prevention and control in the four designated hospitals for the treatment of COVID ， 19 in Guangdong Province Hunan Province and Jiangsu Province were selected as the research subjects using a random cluster ， - - sampling method. The Survey of Perceived Organizational Support Scale the 10 item Connor Davidson Resilience Scale and - ， Results Standford Presenteeism Scale 6 were used to investigate their POS psychological resilience and presenteeism. The ， （ ），（ ） （ ）， total scores of POS psychological resilience and presenteeism were 44.9±7.6 31.2±5.7 and 18.5±3.7 respectively. （ Both POS and psychological resilience had negative effect on presenteeism standardized regression coefficient were −0.59 ， P ） ［ and −0.38 both <0.01 . Psychological resilience played a partial mediating role between POS and presenteeism 95% （ - ）， ］ Conclusion confidence interval −0.22 −0.09 the mediating effect ratio was 23.4% . Both POS and psychological - ， resilience can directly affect the presenteeism behavior of medical staff in COVID 19 prevention and control and POS can also indirectly affect their presenteeism by affecting psychological resilience.

Objective:To study the relative molecular weight and distribution of polysaccharides in Polygonati Rhizoma （PR） before and after processing， as well as the effects of different polysaccharide fractions on immune function and inflammatory response of mouse peritoneal macrophages. Method:High-performance gel permeation chromatography （HPGPC） was used to determine the relative molecular weight and distribution of polysaccharides in PR （named SC） and polysaccharides in PR processed with wine （named JC）， and polysaccharide fractions with different relative molecular weights were obtained by dialysis. Different polysaccharide fractions were applied to mouse peritoneal macrophages， which was normal or induced by lipopolysaccharide （LPS）. Cell counting kit-8 （CCK-8） method was used to select the optimal administration concentration. Enzyme linked immunosorbent assay （ELISA） was used to determine the concentrations of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in the cell supernatant. The Griess method was used to detect the concentration of nitric oxide （NO）. Result:SC and JC could be divided into four parts according to relative molecular weight and its distribution range， including part Ⅰ（14 800-2 273 kDa）， part Ⅱ（2 148-296 kDa）， part Ⅲ（12-1 kDa） and part Ⅳ（818-362 Da）. Based on the differences of part Ⅰ and part Ⅲ after processing， the SC and JC were divided into two-part according to the weight-average relative molecular weight （M_W）. For normal mouse peritoneal macrophages， JC could significantly promote the secretion of TNF-α （P<0.01）， while SC had no significant effect. Four polysaccharide fractions， named SD （SC fraction with M_W>50 kDa）， JD （JC fraction with M_W>50 kDa）， SX （SC fraction with M_W<50 kDa） and JX （JC fraction with M_W<50 kDa）， also could significantly promote the secretion of TNF-α （P<0.01）， but only JX could significantly promote the secretion of NO （P<0.05）. In addition， the effect of JX group stimulated secretion of TNF-α was better than the JD group （P<0.01）. For the LPS-induced macrophage model， JC and SC group could significantly inhibit the secretion of TNF-α and IL-1β （P<0.01）， and the effect of JC was stronger. To compare different polysaccharide fractions， the impact of JX on inhibiting the secretion of TNF-α and IL-1β was significantly stronger than JD （P<0.01）， and SX inhibited the secretion of TNF-α was significantly stronger than SD （P<0.01）. Conclusion:The relative molecular weight and distribution of polysaccharides in PR before and after processing have changed. JC and SC improve the immune regulation mainly by inhibiting the inflammatory response， the fraction of M_W<50 kDa is the main effective part， and the effect of PR polysaccharides in inhibiting the inflammatory is enhanced after processing with wine.