BACKGROUND:Curcumin is the main active ingredient of turmeric and has significant medicinal value in anti-tumor,anti-inflammatory,antioxidant and other aspects.However,its poor water solubility,unstable chemical properties and easy decomposition lead to difficulty in extracting curcumin and low extraction yield.Therefore,it is particularly important to optimize the curcumin extraction method.OBJECTIVE:To enhance the extraction yield and utilization value of curcumin and optimize the curcumin extraction process and curcumin nanoparticle preparation process.METHODS:Curcumin was extracted from turmeric by ethanol extraction,ultrasonic extraction,ionic liquid extraction,enzyme extraction,and ionic liquid combined with ultrasonic assisted enzyme extraction.The curcumin extraction yield was detected by high performance liquid chromatography;the best extraction method was determined,and subsequent process optimization experiments were carried out.The curcumin extraction yield was the response value with the type of ionic liquid,reaction temperature,ultrasonic time,liquid-to-solid ratio,ionic liquid concentration,and enzyme-drug mass ratio as parameters.The optimal production process of ionic liquid combined with ultrasonic assisted enzyme extraction was determined by single factor combined response surface experiment.The optimal process for preparing curcumin nanoparticles by ionic crosslinking method was determined by single factor combined response surface experiment with acetic acid concentration,chitosan to sodium tripolyphosphate mass ratio,stirring rate,curcumin mass concentration,sodium tripolyphosphate mass concentration,and chitosan mass concentration as parameters,and drug encapsulation efficiency as response value.Curcumin nanoparticles were prepared under the optimal process,and the particle size,polydispersity index,Zata potential value,drug loading,stability,hemolysis rate,and antioxidant capacity in vivo and in vitro of the nanoparticles were detected.RESULTS AND CONCLUSION:(1)Among the five extraction methods,the curcumin yield of ionic liquid combined with ultrasound-assisted enzyme extraction was the highest,and this method was selected as the curcumin extraction method for subsequent experiments.The results of single factor combined response surface experiment showed that the optimal process for curcumin extraction was:ionic liquid selected 1-hexyl-3-methylimidazolium chloride,reaction temperature 55 ℃,liquid-to-solid ratio 40 mL/g,ultrasound time 57 minutes,ionic liquid concentration 57％,enzyme-drug mass ratio 3.5:10,and the obtained turmeric extraction yield was 3.10％.The optimal preparation process of curcumin nanoparticles was:glacial acetic acid concentration 0.5％,chitosan and sodium tripolyphosphate mass ratio 5.0:1,stirring speed 150 r/min,curcumin mass concentration 2.23 mg/mL,sodium tripolyphosphate mass concentration 1.45 mg/mL,chitosan mass concentration 3.63 mg/mL,and the obtained drug encapsulation efficiency was 90.61％.(2)The drug loading of curcumin nanoparticles was(14.49±0.23)％,the average particle size was(76.95±1.65)nm,the polydispersity coefficient was 0.15±0.02,and the Zata potential value was(32.37±1.46)mV.The curcumin nanoparticles had good stability and blood compatibility,did not induce hemolysis,and had stronger antioxidant capacity in vivo and in vitro than free curcumin.(3)The results show that the process optimization not only solves the problems of low extraction yield,poor solubility,and low bioavailability of curcumin,but also enhances its antioxidant activity in vivo and in vitro.

Objective To explore the feasibility of using high-definition thoracoscopy to identify sympathetic ganglia during thoracic sympathicotomy for primary palmar hyperhidrosis. Methods The clinical data of patients with primary palmar hyperhidrosis who underwent high-definition thoracoscopic sympathicotomy in Taikang Xianlin Drum Tower Hospital from June to July 2023 were retrospectively analyzed. Intraoperative visualization rates and anatomical variations of sympathetic ganglia were recorded, and the consistency between white-light thoracoscopy and near-infrared fluorescence imaging was compared. Additionally, surgical videos from previous fluorescence-guided procedures were reviewed. Results Finally 100 patients were collected, including 54 females and 46 males, with an average age of (21.92±6.56) years. All patients underwent endoscopic thoracic sympathicotomy at R3 level. The overall intraoperative ganglion visualization rate was 92.5% (740/800), with G2-G5 rates of 95.5% (191/200), 94.0% (188/200), 94.0% (188/200), and 86.5% (173/200), respectively. Ganglion variations occurred in 32.0% (237/740), predominantly at G3 (29.8%) and G4 (42.6%). In 5 indocyanine green-enhanced patients, the concordance rate between white-light and near-infrared fluorescence imaging was 100.0% (38/38). Video analysis of 14 near-infrared fluorescence-guided surgeries demonstrated a 99.1% (107/108) consistency rate. Postoperative palmar hyperhidrosis improvement reached 100.0% (100/100) with no Horner’s syndrome. Conclusion With the wide clinical application of high-definition thoracoscopy, accurate thoracic sympathicotomy has the feasibility of clinical application.

BACKGROUND:Curcumin is the main active ingredient of turmeric and has significant medicinal value in anti-tumor,anti-inflammatory,antioxidant and other aspects.However,its poor water solubility,unstable chemical properties and easy decomposition lead to difficulty in extracting curcumin and low extraction yield.Therefore,it is particularly important to optimize the curcumin extraction method.OBJECTIVE:To enhance the extraction yield and utilization value of curcumin and optimize the curcumin extraction process and curcumin nanoparticle preparation process.METHODS:Curcumin was extracted from turmeric by ethanol extraction,ultrasonic extraction,ionic liquid extraction,enzyme extraction,and ionic liquid combined with ultrasonic assisted enzyme extraction.The curcumin extraction yield was detected by high performance liquid chromatography;the best extraction method was determined,and subsequent process optimization experiments were carried out.The curcumin extraction yield was the response value with the type of ionic liquid,reaction temperature,ultrasonic time,liquid-to-solid ratio,ionic liquid concentration,and enzyme-drug mass ratio as parameters.The optimal production process of ionic liquid combined with ultrasonic assisted enzyme extraction was determined by single factor combined response surface experiment.The optimal process for preparing curcumin nanoparticles by ionic crosslinking method was determined by single factor combined response surface experiment with acetic acid concentration,chitosan to sodium tripolyphosphate mass ratio,stirring rate,curcumin mass concentration,sodium tripolyphosphate mass concentration,and chitosan mass concentration as parameters,and drug encapsulation efficiency as response value.Curcumin nanoparticles were prepared under the optimal process,and the particle size,polydispersity index,Zata potential value,drug loading,stability,hemolysis rate,and antioxidant capacity in vivo and in vitro of the nanoparticles were detected.RESULTS AND CONCLUSION:(1)Among the five extraction methods,the curcumin yield of ionic liquid combined with ultrasound-assisted enzyme extraction was the highest,and this method was selected as the curcumin extraction method for subsequent experiments.The results of single factor combined response surface experiment showed that the optimal process for curcumin extraction was:ionic liquid selected 1-hexyl-3-methylimidazolium chloride,reaction temperature 55 ℃,liquid-to-solid ratio 40 mL/g,ultrasound time 57 minutes,ionic liquid concentration 57％,enzyme-drug mass ratio 3.5:10,and the obtained turmeric extraction yield was 3.10％.The optimal preparation process of curcumin nanoparticles was:glacial acetic acid concentration 0.5％,chitosan and sodium tripolyphosphate mass ratio 5.0:1,stirring speed 150 r/min,curcumin mass concentration 2.23 mg/mL,sodium tripolyphosphate mass concentration 1.45 mg/mL,chitosan mass concentration 3.63 mg/mL,and the obtained drug encapsulation efficiency was 90.61％.(2)The drug loading of curcumin nanoparticles was(14.49±0.23)％,the average particle size was(76.95±1.65)nm,the polydispersity coefficient was 0.15±0.02,and the Zata potential value was(32.37±1.46)mV.The curcumin nanoparticles had good stability and blood compatibility,did not induce hemolysis,and had stronger antioxidant capacity in vivo and in vitro than free curcumin.(3)The results show that the process optimization not only solves the problems of low extraction yield,poor solubility,and low bioavailability of curcumin,but also enhances its antioxidant activity in vivo and in vitro.

Preimplantation genetic testing for aneuploidy (PGT-A) is a crucial technique currently used to improve embryo implantation rate, reduce miscarriage rate, and shorten the time to pregnancy for patients who are of advanced maternal age (≥35 years), have experienced repeated implantation failures, or have a history of recurrent miscarriages. Conventional PGT-A necessitates an invasive embryo biopsy, which may pose potential risks to subsequent embryo development and long-term health outcomes. Consequently, there is a growing interest among reproductive medicine professionals in developing non-invasive, safe, accurate, and effective methods for assessing embryo chromosomal status and quality. This paper provides an overview of recent advancements in the use of next-generation sequencing for detecting cell-free DNA (cfDNA) in non-invasive preimplantation genetic testing for aneuploidy (niPGT-A). The review highlights both the potential of this approach and its existing limitations. Additionally, the paper proposes a novel hypothesis regarding the application of single-molecule nanopore technology for cfDNA detection in niPGT-A, offering new insights and serving as a reference for future research in this field.

To construct a recombinant fowl adenovirus 4(FAdV-4)expressing the Cap protein of goose astrovirus genotype 2(GoAstV-2),the expression cassette of Cap gene was inserted into the natural 1 966 bp deletion region of the FAdV-4 genome in the infectious clone p15A-cm-FAdV4-HNJZ.The resulted recombinant plasmid p15A-cm-FAdV4-HNJZ-Cap/GoAstV-2 was linearized with restriction enzyme and transfected into chicken hepatoma cell line(LMH)to rescue the recombinant FAdV-4 expressing the Cap protein of GoAstV-2,rF Ad V4-Cap/GoAstV-2.After 15 passages in LMH cells,the recombinant rFAdV4-Cap/GoAstV-2 was identified by PCR using primers flanking the insertion site of the Cap gene expression cassette and using viral genome DNA extracted from rFAdV4-Cap/GoAstV-2 infected LMH cells as template.LMH cells were in-fected with 15th passage rFAdV4-Cap/GoAstV-2 and indirect immunofluorescence was performed with a polyclonal antibody against Cap protein as the primary antibody.Western blot was carried out with lysates of rFAdV4-Cap/GoAstV-2 infected LMH cells.The in vitro replication dynamic of the 15th passage of the rFAdV4-Cap/GoAstV-2 was also investigated in LMH cells.The results demonstrated that the Cap gene of GoAstV-2 was presented in the genome of the recombinant vi-rus rF AdV4-Cap/Go Ast V-2,and could be expressed stably.The prepared recombinant virus in this study will lay a foundation for developing inactivated bivalent vaccine candidate against co-in-fection of FAdV-4 and GoAstV-2 in goose.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Preimplantation genetic testing for aneuploidy (PGT-A) is a crucial technique currently used to improve embryo implantation rate, reduce miscarriage rate, and shorten the time to pregnancy for patients who are of advanced maternal age (≥35 years), have experienced repeated implantation failures, or have a history of recurrent miscarriages. Conventional PGT-A necessitates an invasive embryo biopsy, which may pose potential risks to subsequent embryo development and long-term health outcomes. Consequently, there is a growing interest among reproductive medicine professionals in developing non-invasive, safe, accurate, and effective methods for assessing embryo chromosomal status and quality. This paper provides an overview of recent advancements in the use of next-generation sequencing for detecting cell-free DNA (cfDNA) in non-invasive preimplantation genetic testing for aneuploidy (niPGT-A). The review highlights both the potential of this approach and its existing limitations. Additionally, the paper proposes a novel hypothesis regarding the application of single-molecule nanopore technology for cfDNA detection in niPGT-A, offering new insights and serving as a reference for future research in this field.

Objective:To analyze the incidence of surgical site infection (SSI) in patients undergoing colorectal cancer (CRC) surgery and to identify risk factors associated with SSI in an attempt to provide a reference for clinical prevention strategies.Methods:A retrospective cohort study was conducted. Clinical data were retrospectively collected from a total of 2,248 patients who underwent surgery for pathologically confirmed CRC between 2017 and 2022 at two centers: Huangshan Shoukang Hospital ( n=649) and Northern Jiangsu People's Hospital ( n=1 599). Inclusion criteria consisted of the following: (1) age >18 years; (2) pathologically confirmed CRC treated with curative resection, including extended resections (e.g. pelvic exenteration); (3) no surgical incisions other than abdominal or perineal; and (4) no use of prosthetic implants. The incidence of SSI was analyzed, and multivariate logistic regression was used to identify independent its risk factors. Results:A total of 121 patients (5.4%) developed SSI. Among them, 68 cases (56.2%) were organ/space infections, 35 cases (28.9%) were deep incisional infections, and 18 cases (14.9%) were superficial incisional infections. The median postoperative hospital stay was significantly longer in patients with SSI compared to those without (21.0 days vs. 13.0 days, U=65,754, P<0.001). The median hospitalization cost was also significantly higher in the SSI group (56,550 yuan vs. 43,645 yuan, U=72,008, P<0.001). Multivariate logistic regression analysis identified body mass index (BMI) ≤ 20 kg/m 2 (OR=4.25, 95%CI: 3.38-5.34, P<0.001), diabetes mellitus (OR=3.44, 95%CI: 1.89-6.24, P<0.001), open surgery (OR=4.23, 95%CI: 2.37-7.56, P<0.001), and colostomy or ileostomy (OR=1.67, 95% CI: 1.04-2.69, P=0.034) as independent risk factors for SSI. Conclusion:To prevent SSI following CRC surgery, attention should be given to optimizing body weight and glycemic control, promoting minimally invasive surgical approaches when feasible, and cautiously considering the necessity of colostomy or ileostomy.

Objective:To analyze the incidence of surgical site infection (SSI) in patients undergoing colorectal cancer (CRC) surgery and to identify risk factors associated with SSI in an attempt to provide a reference for clinical prevention strategies.Methods:A retrospective cohort study was conducted. Clinical data were retrospectively collected from a total of 2,248 patients who underwent surgery for pathologically confirmed CRC between 2017 and 2022 at two centers: Huangshan Shoukang Hospital ( n=649) and Northern Jiangsu People's Hospital ( n=1 599). Inclusion criteria consisted of the following: (1) age >18 years; (2) pathologically confirmed CRC treated with curative resection, including extended resections (e.g. pelvic exenteration); (3) no surgical incisions other than abdominal or perineal; and (4) no use of prosthetic implants. The incidence of SSI was analyzed, and multivariate logistic regression was used to identify independent its risk factors. Results:A total of 121 patients (5.4%) developed SSI. Among them, 68 cases (56.2%) were organ/space infections, 35 cases (28.9%) were deep incisional infections, and 18 cases (14.9%) were superficial incisional infections. The median postoperative hospital stay was significantly longer in patients with SSI compared to those without (21.0 days vs. 13.0 days, U=65,754, P<0.001). The median hospitalization cost was also significantly higher in the SSI group (56,550 yuan vs. 43,645 yuan, U=72,008, P<0.001). Multivariate logistic regression analysis identified body mass index (BMI) ≤ 20 kg/m 2 (OR=4.25, 95%CI: 3.38-5.34, P<0.001), diabetes mellitus (OR=3.44, 95%CI: 1.89-6.24, P<0.001), open surgery (OR=4.23, 95%CI: 2.37-7.56, P<0.001), and colostomy or ileostomy (OR=1.67, 95% CI: 1.04-2.69, P=0.034) as independent risk factors for SSI. Conclusion:To prevent SSI following CRC surgery, attention should be given to optimizing body weight and glycemic control, promoting minimally invasive surgical approaches when feasible, and cautiously considering the necessity of colostomy or ileostomy.

Objective:To explore the latent profile characteristics of fatigue in patients with non-small cell lung cancer (NSCLC) complicated by radiation-induced pulmonary fibrosis (RIPF), and to provide evidence for developing precision nursing strategies.Methods:A convenience sample of 120 patients with RIPF and NSCLC who received treatment at the First Affiliated Hospital of Zhengzhou University between January 2022 and December 2023 was recruited. Baseline demographic and clinical data and the Multidimensional Fatigue Inventory (MFI) were collected. Latent profile analysis (LPA) was performed to classify fatigue levels, and multinomial logistic regression was used to identify influencing factors. A total of 120 questionnaires were distributed, and 116 valid responses were obtained, with a valid response rate of 96.67% (116/120) .Results:LPA identified three latent classes of fatigue among the 116 patients: the physiological-cognitive compound fatigue group ( n=52), the emotional-sleep disturbance group ( n=38), and the mildly adaptive group ( n=26). Multinomial logistic regression revealed that age, Eastern Cooperative Oncology Group performance status (ECOG-PS), Karnofsky Performance Status (KPS), sleep quality, and anxiety were significant factors associated with the physiological-cognitive compound fatigue group ( P<0.05). Sleep quality, anxiety, depression, pain, and KPS were significant factors associated with the emotional-sleep disturbance group ( P<0.05) . Conclusions:Patients with RIPF and NSCLC can be classified into three subtypes of fatigue. Differentiated nursing strategies should be developed accordingly to achieve precise and individualized interventions.