Objective: To analyze the trends in incidence and mortality of colorectal cancer in Jinhua City, Zhejiang Province from 2016 to 2024, and to predict the incidence and mortality from 2025 to 2027, so as to provide the evidence for improving regional colorectal cancer prevention and control strategies. Methods: Data on incidence and mortality of colorectal cancer in Jinhua City from 2016 to 2024 were collected through the Zhejiang Chronic Disease Surveillance Information Management System. The crude incidence and crude mortality were calculated, and standardized using the data from the Sixth National Population Census in 2010. Trends in incidence and mortality of colorectal cancer from 2016 to 2024 were analyzed using the average annual percent change (AAPC). A grey Markov model was constructed to predict the incidence and mortality of colorectal cancer from 2025 to 2027. Results: From 2016 to 2024, the crude incidence and standardized incidence of colorectal cancer in Jinhua City were 46.90/100 000 and 30.69/100 000, respectively, showing upward trends (AAPC=4.594% and 2.051%, both P<0.05). The crude mortality and standardized mortality were 17.47/100 000 and 10.36/100 000, respectively, and the trends were not statistically significant (both P>0.05). The standardized incidence and standardized mortality of colorectal cancer in males were higher than those in females (35.38/100 000 vs. 25.68/100 000, 11.96/100 000 vs. 8.57/100 000, both P<0.05). The crude incidence and crude mortality of colorectal cancer in the ≥80 years age group were the highest, at 220.04/100 000 and 186.86/100 000, respectively. From 2016 to 2024, the standardized incidence of colorectal cancer in males and females showed upward trends (AAPC=5.069% and 3.965%, both P<0.05), while the trends in standardized mortality were not statistically significant (all P>0.05). The crude incidence in the 70-<80 years age group showed an upward trend (AAPC=1.320%, P<0.05), and the crude mortality in the 40-<50 years age group showed a downward trend (AAPC=-3.756%, P<0.05). Trends in other age groups were not statistically significant (all P>0.05). The prediction results of the grey Markov model showed that the predicted values of crude incidence and crude mortality of colorectal cancer in the whole population would increase from 58.20/100 000 and 20.04/100 000 in 2025 to 61.70/100 000 and 21.26/100 000 in 2027. Conclusions From 2016 to 2024, the incidence of colorectal cancer in Jinhua City showed upward trends, while the mortality trend was stable. Males and the elderly aged ≥80 years are high-risk populations for colorectal cancer incidence and mortality. It is predicted that both crude incidence and crude mortality will increase from 2025 to 2027.

ObjectiveTo investigate the effects of hypoxia-treated mesenchymal stem cell （MSCs） exosomes （Exo） and their loading with curcumin on microglial inflammatory responses， and to explore the enhancing effect of hypoxia treatment on the function of MSCs Exo. MethodsThe supernatants of human umbilical cord （hUC）-MSCs cultured under normal and hypoxic conditions were collected， and Exo were isolated using ultracentrifugation. After identification by transmission electron microscopy and Western blot， curcumin was loaded using the co-incubation method. The lipopolysaccharide （LPS）-induced microglial inflammation model was treated with dimethyl sulfoxide （DMSO）， curcumin， normoxia Exo， hypoxia Exo， normoxic Exo loaded with curcumin， and hypoxic Exo loaded with curcumin， respectively. The expression of the M1-type marker inducible nitric oxide synthase （iNOS） in BV2 cells was detected by immunofluorescence （IF）. Western blot and enzyme-linked immunosorbent assay （ELISA） were used to measure the expression and secretion levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and IL-6 in the cells and their culture supernatants. ResultsNormoxia Exo， hypoxia Exo， normoxic Exo loaded with curcumin， and hypoxic Exo loaded with curcumin exhibited a "saucer-like" shape with a diameter ranging from 30~150 nm， and the expression of exosomal markers CD9， CD81， and TSG101 were positive. After treating the BV2 cell inflammation model， IF results showed that， compared with the normoxia Exo group， treatment with hypoxic Exo significantly reduced the expression of iNOS. Moreover， when compared with the curcumin group and the normoxic Exo loaded with curcumin group， the expression level of iNOS significantly decreased after treatment with hypoxic Exo loaded with curcumin. The results of Western blot and ELISA indicated that， in comparison with the normoxia Exo group， treatment with hypoxic Exo significantly reduced the expression and secretion of the inflammatory cytokines TNF-α， IL-1β， and IL-6. Additionally， when compared with the curcumin group and the normoxic Exo loaded with curcumin group， both the expression and secretion of TNF-α， IL-1β， and IL-6 significantly decreased after treatment with hypoxic Exo loaded with curcumin. ConclusionHypoxia preconditioning can enhance the ability of hUC-MSCs-Exo in the inhibition of microglial polarization and inflammatory factors’ secretion. Additionally， using Hypoxia-MSCs-Exo as a drug-delivery carrier of curcumin can improve its solubility and stability， facilitating its absorption by cells and exerting the therapeutic effect of combination therapy.

Ankylosing spondylitis is a chronic immunoinflammatory disease that mainly affects the spine and the sacroiliac joint， the mechanism of which is closely related to signaling pathways， such as osteoprotegerin （OPG）/receptor activator of nuclear factor-κB （RANK）/RANK ligand， mitogen-activated protein kinase （MAPK）， Wnt/β-catenin （β-catenin）， phosphoinositide 3- kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR）. Traditional Chinese medicine has the characteristics of multiple components and targets， and is widely used for the treatment of autoimmune diseases due to its low toxicity， strong specificity， and high efficacy. This review found that monomers and compounds of traditional Chinese medicine can exert anti ankylosing spondylitis effects by intervening in the aforementioned signaling pathways， regulating immune inflammatory responses， and inhibiting biological processes such as bone destruction， ectopic osteogenic differentiation， cell apoptosis， and autophagy.

AIM: To analyze the factors affecting non-contact intraocular pressure(IOPNCT)measurements after femtosecond laser-assisted small incision lenticule extraction(SMILE), explore the correlation of IOPNCT with central corneal thickness(CCT)and corneal curvature after SMILE, and construct the corresponding regression model which will provide scientific basis for clinical evaluation of the true IOP of patients after SMILE.METHODS: Data from a retrospective analysis of 107 myopic patients(206 eyes)who underwent SMILE and 107 myopic patients(201 eyes)received femtosecond laser-assisted in situ keratomileusis(FS-LASIK)surgery from June 2023 to May 2024 were examined. IOPNCT, CCT, and corneal curvature before surgery and at 1 and 3 mo were collected. The preoperative and postoperative IOPNCT, CCT and corneal curvature were analyzed by ANOVA and Pearson correlation analysis, and multiple linear regression models were constructed to evaluate the association of postoperative changes of IOPNCT, CCT and corneal curvature.RESULTS: There were significant differences in IOPNCT, CCT, and corneal curvature of both SMILE and FS-LASIK patients(all P<0.001), there was no significant difference between two groups and interaction effects(all P>0.05), and the IOPNCT, CCT and corneal curvature at 1 and 3 mo post-surgery were significantly lower than preoperative(all P<0.05). Pearson correlation analysis showed a positive correlation between IOPNCT and CCT at 1 and 3 mo after SMILE(r=0.261, 0.267, all P<0.001), but no significant correlation with corneal curvature(all P>0.05). Multiple linear regression analysis of IOPNCT with CCT and corneal curvature at 1 mo after SMILE indicated that the regression equation was: Y=3.426+0.019X1-0.058X2(Y represents IOPNCT, X1 represents the CCT, and X2 represents the corneal curvature), with statistical significant difference in the equation(F=7.654, P=0.001); the regression equation for 3 mo after surgery was: Y=2.056+0.020X1-0.038 X2(Y represents IOPNCT, X1 represents the CCT, and X2 represents the corneal curvature), with statistically significance in the equation(F=7.903, P<0.001). The regression equation of postoperative IOPNCT change(△IOPNCT)and intraoperative cutting corneal thickness(△CCT)and corneal curvature at 1 mo was Y=-2.252+0.008X1+0.587X2(Y represents △IOPNCT, X1 stands for the △CCT, X2 represents the corneal curvature change value), with statistical significant difference in the equation(F=17.550, P<0.001); the regression equation for 3 mo after surgery was: Y=-2.168+0.024X1+0.281X2(Y represents △IOPNCT, X1 represents △CCT, X2 indicates the corneal curvature change values), with statistical significant difference in the equation(F=16.030, P<0.001).CONCLUSION: After SMILE and FS-LASIK surgery, the IOPNCT value of patients was mainly affected by CCT compared with preoperative surgery, and the short-term use of hormone eye drops, fluorometholone, did not cause a significant increase in IOP; both the IOP correction formula at 1 and 3 mo postoperatively can be used clinically to evaluate and correct actual IOP in patients after SMILE.

AIM: To analyze the factors affecting non-contact intraocular pressure(IOPNCT)measurements after femtosecond laser-assisted small incision lenticule extraction(SMILE), explore the correlation of IOPNCT with central corneal thickness(CCT)and corneal curvature after SMILE, and construct the corresponding regression model which will provide scientific basis for clinical evaluation of the true IOP of patients after SMILE.METHODS: Data from a retrospective analysis of 107 myopic patients(206 eyes)who underwent SMILE and 107 myopic patients(201 eyes)received femtosecond laser-assisted in situ keratomileusis(FS-LASIK)surgery from June 2023 to May 2024 were examined. IOPNCT, CCT, and corneal curvature before surgery and at 1 and 3 mo were collected. The preoperative and postoperative IOPNCT, CCT and corneal curvature were analyzed by ANOVA and Pearson correlation analysis, and multiple linear regression models were constructed to evaluate the association of postoperative changes of IOPNCT, CCT and corneal curvature.RESULTS: There were significant differences in IOPNCT, CCT, and corneal curvature of both SMILE and FS-LASIK patients(all P<0.001), there was no significant difference between two groups and interaction effects(all P>0.05), and the IOPNCT, CCT and corneal curvature at 1 and 3 mo post-surgery were significantly lower than preoperative(all P<0.05). Pearson correlation analysis showed a positive correlation between IOPNCT and CCT at 1 and 3 mo after SMILE(r=0.261, 0.267, all P<0.001), but no significant correlation with corneal curvature(all P>0.05). Multiple linear regression analysis of IOPNCT with CCT and corneal curvature at 1 mo after SMILE indicated that the regression equation was: Y=3.426+0.019X1-0.058X2(Y represents IOPNCT, X1 represents the CCT, and X2 represents the corneal curvature), with statistical significant difference in the equation(F=7.654, P=0.001); the regression equation for 3 mo after surgery was: Y=2.056+0.020X1-0.038 X2(Y represents IOPNCT, X1 represents the CCT, and X2 represents the corneal curvature), with statistically significance in the equation(F=7.903, P<0.001). The regression equation of postoperative IOPNCT change(△IOPNCT)and intraoperative cutting corneal thickness(△CCT)and corneal curvature at 1 mo was Y=-2.252+0.008X1+0.587X2(Y represents △IOPNCT, X1 stands for the △CCT, X2 represents the corneal curvature change value), with statistical significant difference in the equation(F=17.550, P<0.001); the regression equation for 3 mo after surgery was: Y=-2.168+0.024X1+0.281X2(Y represents △IOPNCT, X1 represents △CCT, X2 indicates the corneal curvature change values), with statistical significant difference in the equation(F=16.030, P<0.001).CONCLUSION: After SMILE and FS-LASIK surgery, the IOPNCT value of patients was mainly affected by CCT compared with preoperative surgery, and the short-term use of hormone eye drops, fluorometholone, did not cause a significant increase in IOP; both the IOP correction formula at 1 and 3 mo postoperatively can be used clinically to evaluate and correct actual IOP in patients after SMILE.

Objective:To improve the understanding of pediatric acute promyelocytic leukemia with TTMV::RARA fusion gene positive caused by torque teno mini virus (TTMV).Methods:A retrospective analysis was conducted on the clinical data of a patient with relapsed TTMV::RARA fusion gene-positive acute promyelocytic leukemia who was admitted to Children's Hospital Affiliated to Zhengzhou University in July 2024, and literature review was conducted.Results:The patient was a girl with the age of 5 years and 7 months. She presented with joint pain and fever. Combined with bone marrow cell morphology and whole transcriptome sequencing, she was diagnosed with TTMV::RARA fusion gene-positive acute promyelocytic leukemia. After induction therapy with regimens such as retinoic acid +daunorubicin+cytarabine and retinoic acid+venetoclax+homoharringtonine, the joint pain was relieved, but the primary disease did not improve. Subsequently, there was no regular treatment. One year later, the disease recurred and was complicated with severe infection. Her condition improved following anti-infection and induction therapy.Conclusions:TTMV::RARA fusion gene-positive pediatric acute promyelocytic leukemia is a special type of acute promyelocytic leukemia caused by the insertion of viral sequences from TTMV infection. It is rare in clinical practice and difficult to treat, and the overall prognosis may be poor.

Objective:To investigate the influencing factors for sarcopenia in hospitalized patients,to construct a risk prediction model for sarcopenia in elderly hospitalized patients,and to provide a quantitative tool for early screening and intervention of sarcopenia based on the integration of multi-dimensional indicators.Methods:A retrospective analysis was performed for the data of 2105 elderly patients who were hospitalized in The First Affiliated Hospital of Chongqing Medical University from March 2016 to June 2023.The least absolute shrinkage and selection operator analysis was used for the screening of variables,and the logistic regression analysis was used to investigate the influencing factors for sarcopenia.A predictive model was constructed,and internal and external validation was performed.The Shapley additive explanations model was used to analyze feature contributions,and a nomogram model was constructed to visualize and interpret the results.Results:The 1259 patients from March 2016 to December 2020 were randomly divided into a training set with 882 patients and an internal test set with 377 patients at a ratio of 7∶3,and the 846 patients from January 2021 to June 2023 were established as the external validation set.A total of 489 cases of sarcopenia(55.44%)were detected in the training set.The logistic regression analysis based on the training set showed that asthenia,dependence on Activity of Daily Living,malnutrition,and in-creasing age were risk factors for sarcopenia(odds ratio[OR]>1,P<0.05),and male sex,normal body mass index,and overweight were protective factors against sarcopenia(OR<1,P<0.05).The model had an AUC of 0.876(95%CI=0.854-0.899)in the training set,0.883(95%CI=0.849-0.918)in the internal test set,and 0.750(95%CI=0.717-0.783)in the external validation set,suggesting that the model had good performance.The decision curve analysis showed that the nomogram model had a good clinical value.Conclu-sion:The predictive model for sarcopenia has good performance and holds promise for clinical application.

OBJECTIVE To analyze the chemical constituents of the active parts of Piper wallichii. METHODS The petroleum ether-extract fraction was prepared from the methanol extract of P. wallichii. Separation and purification were performed using semi-preparative high-performance liquid chromatography. The structures of the compounds were identified by nuclear magnetic resonance spectroscopy. RESULTS Nineteen compounds were isolated from the petroleum ether-extract fraction from the methanol extract of P. wallichii， identified as 3-acetoxybenzyl benzoate （1）， 2-acetoxybenzyl benzoate （2）， 2-methoxybenzyl benzoate （3）， 3-methoxybenzyl benzoate （4）， 4-hydroxy-3-methoxybenzyl benzoate （5）， 3-hydroxybenzyl benzoate（6）， benzyl benzoate （7）， ganschisandrine （8）， lancifolin A （9）， （7R，8R，3′R）-7-acetoxy-3′，4′-dimethoxy-3，4-methylenedioxy-6′-oxo- Δ1′，4′，8′-8.3′-lignan （10）， （7S，8R，3′S）-Δ8′-3′，6′-dihydro-3′-methoxy-3，4-methylenedioxy-6′-oxo-8.3′，7.O.4′-lignan （11）， （7R， 8R，3′S）-Δ8′-3′，6′-dihydro-3′-methoxy-3，4-methylenedioxy-6′-oxo-8.3′，7.O.4′-lignan （12）， isodihydrofutoquinol A （13）， licarin A （14）， licarin B （15）， 2-（2′，5′-dimethoxyphenyl）-3，4- dimethyl-5-（3″，4″-dimethoxyphenyl）- tetrahydrofuran （16）， galgravin （17）， velutin （18）， and piyunin A （19）. CONCLUSIONS Compound 1 is a new benzyl benzoate compound. Compounds 3-5， 8 and 9 are isolated from the Piper genus for the first time， while compounds 2， 6， 10-13 and 15-19 are isolated from P. wallichii for the first time.

Objective: To analyze the trends in incidence and mortality of prostate cancer in Jinhua City, Zhejiang Province from 2016 to 2024, so as to provide the evidence for the improvement of prostate cancer prevention and control measures. Methods: The incidence and mortality data of prostate cancer in Jinhua City from 2016 to 2024 were collected from the Chronic Disease Surveillance Information Management System of Zhejiang Province, and the crude incidence and mortality were calculated. The Chinese Sixth National Population Census in 2010 was used to calculate standardized incidence and mortality. The trends in incidence and mortality of prostate cancer were evaluated using average annual percent change (AAPC). Results: A total of 8 357 cases of prostate cancer were diagnosed in Jinhua City from 2016 to 2024. The crude incidence and standardized incidence were 37.36/100 000 and 21.17/100 000, respectively, showing upward trends (AAPC=16.275%, 12.511%, both P<0.05). There were 1 615 deaths of prostate cancer, and the crude mortality was 7.22/100 000, showing an upward trend (AAPC=5.451%, P<0.05). The standardized mortality was 3.49/105, and the trend showed no statistically significant (P>0.05). There were 28 cases of prostate cancer in individuals under 50 years old, accounting for 0.34%. The crude incidence and crude mortality of patients aged ≥50 years increased with age (both P<0.05). From 2016 to 2024, the crude incidence of prostate cancer in the 50-<60, 60-<70, 70-<80, and ≥80 age groups showed upward trends (AAPC=17.849%, 14.704%, 12.654% and 8.081%, all P<0.05), and the 50-<60 age group increased more quickly. There was no significant change in the crude mortality of prostate cancer among different age groups (all P>0.05). Conclusion From 2016 to 2024, the incidence of prostate cancer in Jinhua City showed an upward trend and had a trend of becoming younger, while the mortality remained relatively stable.

OBJECTIVE To compare the anti-hepatitis mechanisms of Abrus pulchellus subsp. cantoniensis （Hance） Verdc. （AC） and Abrus pulchellus subsp. mollis（Hance） Verdc. （AM）. METHODS SD rats were randomly divided into blank group， AC- treated group， and AM-treated group， with each group consisting of 10 rats. The rats’ orbital venous blood was collected at 5， 15， 30 minutes， and 1， 1.5， 2， 4， 6， 8， 12 hours after gavage administration of 24 g/kg of the corresponding drug （calculated by crude drug） or water， respectively. Ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry technology was utilized to identify the prototype components present in the serum. The network pharmacology method was adopted to predict the anti-hepatitis active components， key targets， and signaling pathways of AC and AM. Additionally， molecular docking technology was utilized to verify the binding activity of the core active components with key targets. RESULTS A total of 35 prototype components migrating to the blood of AC and AM were identified in the serum of administered rats， among which 24 were common components. The active components in AC， such as acetylanguidine， physcion， soyasaponin A3 and soyasaponin Ⅰ， as well as those in AM， including vicenin 3， acetylanguidine，soyasaponin Ⅰ and schaftoside， all acted on key targets such as steroid receptor coactivator， phosphatidylinositol-4，5-bisphosphate 3-kinase catalytic subunit alpha， epidermal growth factor receptor （EGFR）， and protein kinase B1（Akt1）. These components modulated pathways in cancer， EGFR tyrosine kinase inhibitor resistance， and the phosphoinositide 3-kinase （PI3K） -Akt pathway， thereby exerting anti-hepatitis effects. Furthermore， the binding energies between these active components and their key targets were all less than －5 kJ/mol. CONCLUSIONS There are differences in the active components of AC and AM against hepatitis， but their mechanisms of action are similar. Both may exert their anti-hepatitis effects through pathways in cancer， EGFR tyrosine kinase inhibitor resistance， and the PI3K-Akt pathway.