Objective To analyze the epidemiological characteristics and disease burden of liver cancer in Guangdong Province in 2020, and to provide a scientific foundation for the development of regionalized prevention and control strategies for liver cancer. Methods According to the cancer registry data of Guangdong Province, the incidence, mortality and age-standardized rate by Chinese standard population in 2020 were calculated to analyze the epidemiological characteristics of liver cancer. The disability adjusted life years (DALYs), year of life loss (YLL), year of lived with disability (YLD), and cause-eliminated life expectancy were used to assess the disease burden of liver cancer. Results In 2020, the crude incidence rate and the age-standardized incidence rate of liver cancer in Guangdong Province were 27.79/100 000 and 20.84/100 000，respectively, and the crude mortality rate and the age-standardized mortality rate of liver cancer were 25.49/100,000 and 17.64/100 000, respectively. The total DALY and DALY rate of liver cancer in Guangdong Province were 515 311 person-years and 513.83/100 000, respectively. After eliminating the causes of death from liver cancer, the life expectancy in Guangdong Province increased from 84.60 years to 84.99 years. All indicators consistently demonstrated that the burden of liver cancer was higher in males than that in females, and the burden of liver cancer was higher in rural areas than that in urban areas. Conclusion Liver cancer in Guangdong Province exhibits a high incidence, mortality and disease burden level in 2020. There are obvious differences of gender, age and region in cancer burden. It is necessary to strengthen liver cancer screening and diagnosis and treatment in men, the elderly and those in rural areas to reduce the burden of liver cancer gradually in Guangdong Province.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveThis paper aims to systematically reveal the effect difference and mechanisms of Zishenwan against chronic prostatitis （CP） before and after salt-processing of Anemarrhenae rhizoma and Phellodendri chinensis cortex based on an integrated strategy of ultra-high performance liquid chromatography-quadrupole-orbitrap mass spectrometry （UPLC-Q-Orbitrap-MS/MS）， network pharmacology， and serum metabolomics. MethodsZishenwan samples before and after salt-processing of Anemarrhenae rhizoma and Phellodendri chinensis cortex were extracted by alcohol-water dual extraction. The chemical components of each sample were detected by UPLC-Q-Orbitrap-MS/MS， and differential components were screened by multivariate statistical analysis. Network pharmacology analysis was performed based on the identified chemical components of Zishenwan to construct a protein-protein interaction （PPI） network of "component， target， and pathway"， and the core components， targets， and pathways of Zishenwan against CP were screened. Forty-two male Sprague-Dawley （SD） rats were randomly divided into a blank group， a model group， a Qianliekang group （1.54 g·kg^-1）， low- and high-dose raw Zishenwan groups （1.8， 5.4 g·kg^-1）， and low- and high-dose salt-processed Zishenwan groups （1.8， 5.4 g·kg^-1）. The CP rat model was established by intraprostatic injection of carrageenan. After one week of recovery， the rats were administered the corresponding drugs for 21 days， while those in the blank group and model group received the same volume of normal saline. After the experiment， serum and tissue samples were collected to evaluate pharmacodynamic indicators including organ indices， histopathology， and inflammatory factors in serum. Subsequently， untargeted serum metabolomics technology was used to analyze metabolite changes and perform pathway enrichment analysis. The network pharmacology was used to construct a network of "differential metabolite， reaction， enzyme， and gene". ResultsA total of 76 components were identified in raw and salt-processed Zishenwan， and 34 differential components were screened by multivariate statistical analysis. Among them， the contents of 14 components， including berberine， berberrubine， and phellodendrine， increased after salt-processing， while the contents of 20 components， such as neomangiferin， decreased. The 28 active components and 185 potential targets were screened out by network pharmacology. The core components included berberine， phellodendrine， magnoflorine， and jatrorrhizine， and the core targets included signal transducer and activator of transcription 3 （STAT3）， protein kinase B1 （Akt1）， and transcription factor AP-1 （JUN）. These targets were significantly enriched in pro-inflammatory signaling pathways such as phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） and mitogen-activated protein kinase （MAPK）. Compared with the model group， all Zishenwan administration groups showed decreased prostate index， reduced levels of interleukin （IL）-1β， IL-18， and B-cell lymphoma-2 （Bcl-2） in serum （P<0.05， P<0.01）， as well as varying degrees of alleviation in histopathological damage. At the same dose， compared with the raw Zishenwan groups， the salt-processed Zishenwan groups showed lower prostate index， pathological scores， and IL-1β， IL-18， and Bcl-2 levels in serum， but the differences were not statistically significant. Metabolomics reveals that 38 differential metabolites were reversed after salt-processed Zishenwan administration. Both raw and salt-processed Zishenwan regulated pathways such as β-alanine metabolism and tryptophan metabolism. In addition to the common regulated pathways， the salt-processed group specifically regulated pantothenate and coenzyme A biosynthesis， pyrimidine metabolism， and arginine and proline metabolism. The intersecting pathways between network pharmacology and metabolomics were tryptophan metabolism and arginine and proline metabolism， with overlapping targets including monoamine oxidase A （MAOA） and arginase 1 （ARG1）. ConclusionThe increased contents of components such as berberine and phellodendrine in salt-processed Zishenwan may enhance its therapeutic effect on CP by inhibiting the PI3K/Akt and MAPK signaling pathways， along with multi-target regulation of tryptophan， arginine， and pantothenate metabolism pathways to comprehensively regulate inflammatory and immune responses.

Chaihu Guizhi Ganjiangtang （CGG）is a classic prescription in the Treatise on Cold Damage，which has the effects of clearing and relieving stagnation heat in Shaoyang，warming and dissolving water drink，and relieving the pivot mechanism. It is a classic prescription for treating spleen deficiency and liver depression and stopping internal stagnation caused by water drink. The formula is exquisite and well-matched and is often modified and used by ancient and modern medical practitioners to treat various miscellaneous diseases of internal and external medicine，with significant therapeutic effects. In recent years，with the rapid development of modern pharmacology，research on the micro mechanism of CGG has been continuously developed and deepened，providing new ideas for the treatment of diseases with CGG. Therefore，the authors systematically searched databases such as China National Knowledge Infrastructure，Wanfang Data Knowledge Service Platform，VIP Database， and PubMed for literature on the clinical application and pharmacological mechanism of CGG published by Chinese and foreign scholars in recent years. This article summarized the literature from two aspects：the modern clinical application and mechanism of action of CGG and elaborated on the diseases treated by CGG in modern literature，involving digestive system，respiratory system，nervous system，endocrine system，circulatory system，urinary system，gynecology，as well as its application in reducing the side effects of radiotherapy and chemotherapy， gynecology， dermatology， ophthalmology， and orthopedics. At the same time，the mechanism of CGG in treating diseases may be related to anti-inflammatory，anti-oxidative stress， regulation of immunity， anti-fibrosis， anti-tumor， improvement of gastrointestinal flora and motility， protection of liver tissue， reduction of blood lipids and blood sugar， and regulation of hormone levels.

An assay was established for detection of toxigenic Clostridioides difficile by combining microfluidic chip analysis with immunochromatography,and its performance was evaluated and compared with those of the Xpert C.difficile/Epi and VIDAS CD AB tests.Primer pairs were designed according to the tcdB and tpi genes in C.difficile.The specificity,limit of detection,reproducibility,and stability were evaluated.A total of 215 stool samples from patients with diarrhea were collected and tested in parallel with the Xpert C.difficile/Epi,VIDAS CDAB,and our assay.C.difficile was isolated from samples,and the tcdB gene was identified when discrepant results were obtained from the three above assays.Our assay showed no cross-reaction with other diarrhea-associated pathogens.Its reproducibility was 100％in testing of two standard plasmids containing tcdB and tpi genes at two concentrations(105 and 102 copies/μL).Two standard plasmids were detected after the PCR and immunochromatography reagents had been stored for 3,6,9,and 12 months,and all the results were posi-tive.The limit of detection was 10 copies/μL for toxigenic C.difficile.Testing of 33 samples positive for C.difficile with our assay(33/215,15.3％)yielded findings statistically coherent with those of the Xpert C.difficile/Epi test(kappa value=0.965).The sensitivity,specificity,positive predictive value,and negative predictive value of our assay,with respect to Xpert C.difficile/Epi as the standard,were 94.3％,100.0％,100.0％,and 98.9％;these values were significantly higher than those of VIDAS CDAB(60.0％,98.9％,91.3％,and 92.7％)(Kappa=0.714,OR=157.50,95％CI:62.03-847.28,P=0.013).In conclusion,our newly developed assay is specific,stable,and reproducible,and may be used for rapid and accu-rate detection of toxigenic C.difficile.The assay could be used for C.difficile infection screening in outpatient and emergen-cy,community medical service center,and epidemiological settings.

Objective:To investigate gut microbiota differences between individuals with and without colorectal adenoma(CRA)and to identify gut microbes associated with CRA.Methods:This cross-sectional study analyzed the gut microbiota of 100 patients with CRA and 68 individuals without CRA(aged 40-75 years)who underwent colonoscopies between March 2021 and March 2022 at Tianjin Nankai Hospital.Fecal samples were sequenced for the V3-V4 region of the bacterial 16S rRNA gene using the Illumina NovaSeq platform.Results:Compared to the non-CRA group,the CRA group exhibited reduced relative abundances of identified and unidentified Lachnospiraceae,with increased Faecalibacterium and Streptococcus.In the non-CRA group,the relative abundances of Coprococcus,unidentified Clostridiaceae,and Clostridium were higher.LEfSe analysis revealed significant enrichment of Gammaproteobacteria,Proteobacteria,Enterobacteriales,and Faecalibacterium in the CRA group,while the non-CRA group was enriched for Moraxellaceae,Acinetobacter,and Anaerostipes.Conclusions:These findings suggest a discernible disparity in the gut microbiota structure between CRA patients and individuals without adenoma.The enrichment of potential pathogenic taxa,such as Faecalibacterium and Streptococcus,in the CRA group suggests a possible association with adenoma development.

Objective:To investigate the molecular mechanisms by which HMGB1 in lung cancer cells affects the function of lung cancer cells themselves and immune cells through the NF-κB pathway.Methods:Western blot detected HMGB1 expressions in Lewis lung cancer(LLC)cells,Raw264.7 cells,and mouse spleen cells,while tumor cell lysates(TCL)with low HMGB1 was pre-pared by inhibiting HMGB1 expression in lung cancer cells with glycyrrhetinic acid(GA);the effects of endogenous HMGB1 inhibi-tion or TCL with low HMGB1 on apoptosis and proliferation of lung cancer cells were detected by flow cytometry and CCK-8;TCL with normal HMGB1 or TCL with low HMGB1 was prepared by freeze-thawing;Raw264.7 cells and mouse splenocytes were treated with them for 48 h.Apoptosis and CD69 expression were detected by flow cytometry,and secretion of cytokines IL-2,IL-4,IL-6,TNF-α and TNF-β were detected by ELISA;Western blot detected lung cancer cells or immune cells.Western blot was performed to detect the protein expression of key signaling molecules of the NF-κB signaling pathway in lung cancer cells or immune cells.Results:HMGB1 was expressed in LLC cells,Raw264.7 cells,and mouse spleen cells,among which LLC cells had the highest expression of HMGB1,and 30 μg/ml GA had the best inhibitory effect on HMGB1 expression in LLC cells.Endogenous HMGB1 in LLC cells could promote cell proliferation.Exogenous HMGB1 in TCL induced apoptosis in lung cancer cells and inhibited immune cell activation and prolifera-tion.Inhibition of endogenous HMGB1 in lung cancer cells leaded to activation of the apoptosis-inducing factor CASP9 in the NF-κB signaling pathway,which was inhibited in lung cancer cells or immune cells after the action of TCL with low HMGB1.Conclusion:Tumor cell HMGB1 has a dual role in lung carcinogenesis,promoting the proliferation of lung cancer cells while suppressing the func-tion of immune cells,which in turn causes lung carcinogenesis,a process associated with the activation of the NF-κB signaling path-way in different cells.

Objective:To analyze the learning curve of TiRobot-assisted lumbar pedicle screw fixation (LPSF) by cumulative sum (CUSUM) test method.Methods:The clinical data of 50 patients who underwent TiRobot-assisted LPSF from January 2020 to December 2022 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. CUSUM analysis and learning curve fitting were performed with robot usage time as the main indicator with the time for each step refined (robot registration time, path planning time and guide wire placement time), to select the best learning curve fitting model with the R2 value closest to 1. Using the turning point of the learning curve as the boundary, the learning curve was divided into two stages as learning stage and maturity stage, and then the observation indexes were compared between the two stages. Results:All 50 patients successfully completed the surgery without perioperative complications, with a total of 244 pedicle screws implanted. The total robot usage time and robot registration time showed a gradually decreasing trend with the increase of case number, and the learning curves were successfully fitted and reached their peaks at the seventeenth and thirteenth cases respectively. The entire learning process was divided into learning stage (17 cases) and maturity stage (33 cases) based on the turning point of the learning curve of total robot usage time. The path planning time and guide wire placement time did not show significant changes with the increase in the case number. The total robot usage time, robot registration time and the intraoperative blood loss in the learning stage were significantly higher than those in the maturity stage: (35.35 ± 1.58) min vs. (30.61 ± 0.43) min, (20.83 ± 1.56) min vs. (14.94 ± 0.29) min and 400 (150, 500) ml vs. 200 (110, 300) ml, the guide wire placement time of per screw was significantly lower than that in the maturity stage: 2.00 (1.83, 2.34) min/screw vs. 2.33 (2.13, 2.69) min/screw, and there were statistical differences ( P<0.05 or <0.01). There were no statistical difference in the path planning time, path planning time of per screw, guide wire placement time and the accuracy of screw placement between two stages ( P>0.05). Conclusions:TiRobot-assisted LPSF is a new technology with safety and effectiveness, and it has a relatively short learning curve. To achieve technological maturity, at least 17 surgeries are required with accumulated experience, and the robot registration is the main step of the learning process. After reaching maturity stage, the robot usage time is significantly shortened and intraoperative trauma is significantly reduced while the relatively high screw placement accuracy is ensured.

Objective:To assess the relationship between basophil levels and mortality in patients with intra-abdominal infection.Methods:Information on patients with intraperitoneal infection admitted to the intensive care unit were extracted from the MIMIC database.A time-dependent Cox regression model was used to adjust for confounders associated with 28-day mortality.Propensity score matching(PSM)was used to balance the baseline differences be-tween groups with different basophil levels,and a restricted cube chart(RCS)was used to show the relationship between basophil count and 28-day mortality in patients with intra-abdominal infection.Results:A total of 4403 patients with intra-abdominal infection were enrolled in the MIMIC database.Patients with high basophil levels have lower mortality than those with low basophil levels.There was an L-shaped curve between basophil level and 28-day mortality,with a cut-off value of 0.47×109/L.Cox regression analysis showed that basophil levels were an independent protective factor for mortal-ity in patients with intra-abdominal infection after adjusting for potential confounders(HR=0.586,95%CI:0.443-0.769).Protective factors for death at basophil levels remained after PSM adjusted for potential confounders(HR=0.628,95%CI:0.470-0.832).Conclusion:Basophil level is an independent protective factor for mortality in patients with intra-abdominal infection,and basophil levels should be dynamically monitored to better evaluate the prognosis of patients.