Objective:To explore the application value of part-cut jejunal transection in digestive tract reconstruction of totally laparoscopic total gastrectomy.Methods:The propensity score matching and retrospective cohort study was conducted. The clinicopathological data of 112 patients with gastric cancer who underwent totally laparoscopic total gastrectomy in The Second Affiliated Hospital of Anhui Medical University from June 2018 to September 2022 were collected. There were 81 males and 31 females, aged (70±8)years. Among the 112 patients, 60 patients undergoing diges-tive tract reconstruction by Roux-en-Y anastomosis with part-cut jejunum were set as the part-cut group, and 52 patients undergoing digestive tract reconstruction by traditional Roux-en-Y anasto-mosis were set as the traditional group. Observation indicators: (1) propensity score matching status and comparison of clinical data of patients between the two groups after matching; (2) intraopera-tive and postoperative conditions; (3) follow-up. Comparison of measurement data with normal dis-tribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. Com-parison of ordinal data was conducted using the nonparametic rank sum test. Propensity score matching was performed using the 1∶1 nearest neighbor matching method, with the caliper value of 0.02. Results:(1) Propensity score matching status and comparison of clinical data of patients between the two groups after matching. Of the 112 patients, 90 patients were successfully matched, with 45 cases in each of the part-cut group and the traditional group. After propensity score matching, the elimination of body mass index, clinical TNM staging confounding bias ensured comparability. (2) Intraoperative and postoperative conditions. After propensity score matching, the total operation time and digestive tract reconstruction time of patients in the part-cut group were (217.0±15.1)minutes and (34.7±1.8)minutes, versus (252.6±21.9)minutes and (52.6±7.4)minutes in the traditional group, respectively, showing significant differences in the above indicators between the two groups ( t=?8.97, ?15.66, P<0.05). (3) Follow-up. After propensity score matching, 90 patients were followed up postoperatively for (47±15)months. During the follow-up, no patient in either group received secondary surgery, and there was no death. There were 3 cases and 10 cases of Roux stasis syndrome in the part-cut group and the traditional group, respectively, showing a significant difference between the two groups ( χ2=4.41, P<0.05). Conclusion:Compared with traditional Roux-en-Y anastomosis, the Roux-en-Y anastomosis with part-cut jejunum in totally laparoscopic total gastrectomy can signifi-cantly shorten the time for digestive tract reconstruction and reduce the incidence of postoperative Roux stasis syndrome.

Objective To investigate whether aberrant DNA methylation of ubiquinol-cytochrome C reductase core protein 1(UQCRC1)is related to cognitive impairment caused by neonatal sevoflurane exposure.Methods A total of 94 SPF C57 mice of either sex,aged 6 d,and weighing 4～6 g,were randomly divided into 7 groups:control group(Con,n=6),sevoflurane-6 and-24 h exposure groups(Sev-6 and-24 h,n=6),control+DMSO group(Con+DMSO,n=19),control+5-aza-2'-deoxycytidine(5-AZA,methylation inhibitor)group(Con+5-AZA,n=19),sevoflurane+DMSO group(Sev+DMSO group,n=19),and sevoflurane+5-AZA group(Sev+5-AZA group,n=19).From 6 to 8 d after birth,the mice of the Sev-6 and-24 h exposure groups were exposed to 3％sevoflurane daily(with 97％oxygen,2 L/min,2 h per day),while those from the Con groups were given exposure of 100％oxygen(2 L/min,2 h per day).For the mice of the 5-AZA and DMSO groups,1 mg/kg of 5-AZA or an equal volume of DMSO was injected intraperitoneally 30 min before daily exposure.In 6 and 24 h after the last exposure to sevoflurane,6 mice from the Con,Sev-6 h,and Sev-24 h groups were euthanized for biochemical analysis,and in 24 h post-exposure,6 mice from the Con+DMSO,Con+5-AZA,Sev+DMSO,and Sev+5-AZA groups were randomly selected for biochemical analysis,while another 3 mice from above each group were also randomly selected for morphological analysis.The remaining 10 mice in these groups underwent behavioral testing(open field test,novel object test,and Y-maze test)at 30～33 d after birth to assess cognitive function,and were euthanized in 24 h after the final behavioral test.RT-qPCR and Western blotting were used to detect the hippocampal expression of UQCRC1,DNA methyltransferases(Dnmts),and methyl CpG binding protein 2(Mecp2)at mRNA and protein levels,respectively.Immunofluorescence assay was employed to observe the distribution and expression of UQCRC1 in the hippocampus.Bisulfite sequencing PCR(BSP)was applied to measure the methylation in the UQCRC1 promoter region.Results Compared with the Con group,the mRNA and protein levels of UQCRC1 were down-regulated(P<0.05),and the mRNA level of Dnmts was up-regulated(P<0.05)in both the Sev-6 h and Sev-24 h exposure groups,while the methylation level in the UQCRC1 promoter region was enhanced in the Sev-24 h exposure group(P<0.05).Additionally,the Sev+5-AZA group had obviously increased mRNA and protein levels of UQCRC1(P<0.05),and notable improvement in cognitive impairment(P<0.05)when compared with the Sev+DMSO group.Conclusion Hypermethylation of UQCRC1 promoter region and thus down-regulating its mRNA and protein expression might be the main mechanism by which repeated neonatal sevoflurane exposure induces cognitive impairment later in life.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.

Objective In view of the potential threat of adverse drug reaction(ADR)to patients'health and the limitations of traditional monitoring methods,this study investigates the construction method of an ADR knowledge graph based on a knowledge-driven technology path to promote the intelligent upgrading of pharmacovigilance field.Methods In this study,an adverse drug reaction knowledge base was established,and the data within the knowledge base were preprocessed.The BERT-CRF model was utilized to identify and extract the relevant entities,relationships and attribute information,and knowledge alignment was carried out by combining the rule method and statistical method.The knowledge fusion data was stored in the Neo4j graph database to construct the knowledge graph.Results Based on the established knowledge base,this study explored the method of constructing knowledge graph of adverse drug reaction by knowledge-driven technology,laying the groundwork for data mining and the development of intelligent auxiliary system tools based on knowledge graph.Conclusions The study on the construction method of an ADR knowledge graph based on a knowledge-driven technology path provides a new perspective and technical path for the intelligent upgrading of pharmacovigilance field.It holds important theoretical and practical significance for improving drug safety,protecting patients'health,and promoting the healthy development of pharmaceutical industry.

Objective In view of the potential threat of adverse drug reaction(ADR)to patients'health and the limitations of traditional monitoring methods,this study investigates the construction method of an ADR knowledge graph based on a knowledge-driven technology path to promote the intelligent upgrading of pharmacovigilance field.Methods In this study,an adverse drug reaction knowledge base was established,and the data within the knowledge base were preprocessed.The BERT-CRF model was utilized to identify and extract the relevant entities,relationships and attribute information,and knowledge alignment was carried out by combining the rule method and statistical method.The knowledge fusion data was stored in the Neo4j graph database to construct the knowledge graph.Results Based on the established knowledge base,this study explored the method of constructing knowledge graph of adverse drug reaction by knowledge-driven technology,laying the groundwork for data mining and the development of intelligent auxiliary system tools based on knowledge graph.Conclusions The study on the construction method of an ADR knowledge graph based on a knowledge-driven technology path provides a new perspective and technical path for the intelligent upgrading of pharmacovigilance field.It holds important theoretical and practical significance for improving drug safety,protecting patients'health,and promoting the healthy development of pharmaceutical industry.

Objective:To systematically evaluate the unmet needs and challenges of caregivers of cancer patients at home and clarify their unmet needs.Methods:A computerized search was conducted in PubMed, Web of Science, Embase, Cochrane Library, ProQuest, Scopus, CINAHL, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc for qualitative studies on the unmet needs and challenges of caregivers of cancer patients in the home environment. The search time limit was from the establishment of the databases to April 30, 2024. The Joanna Briggs Institute Centre for Evidence-Based Healthcare's quality assessment criteria for qualitative research were used to evaluate the quality of the literatures, and the aggregative integration method was used to summarize and integrate the research results.Results:A total of 17 articles were finally included, which were summarized into eight new categories. Further synthesis yielded three integrated results: caregivers in the home environment face multi-dimensional unmet needs and challenges related to patients; caregivers in the home environment face challenges and unmet needs in self-care; caregivers in the home environment are hesitant to obtain external support, and continuity and sustainability are hindered.Conclusions:Medical staff should accurately assess the unmet needs of caregivers of cancer patients at home, pay attention to their negative experiences, promote positive coping, optimize the patient-and family-centered cancer care model, and strengthen social support.

This study was aimed at investigating the effectiveness of various host nucleic acid removal and non-specific amplifica-tion techniques in animal tissue samples,to increase the accuracy of pathogen identification in tissue samples.Simulated samples were prepared with a mixture of mouse lung tissue homogenates and Klebsiella pneumoniae fluids,and processed with six host nucleic acid removal kits and three non-specific amplification techniques.The effectiveness of each method in removing host DNA and enriching nucleic acids of pathogenic microorganisms was evaluated through real-time fluorescence quantitative PCR and high-throughput se-quencing.For host nucleic acid removal techniques,the method of selective cleavage and quantitative degradation of host DNA(Com-plete5 kit)effectively decreased the host nucleic acid content in tissue samples and increased the relative abundance of pathogen nucleic acids.In contrast,the magnetic bead method for host DNA removal(Next microbiome DNA enrichment Kit kit)was less effec-tive.At lower pathogen concentrations(77 CFU/mL),the Vazyme kit was more effective than the other kits in removing host nucleic acids.Non-specific amplification techniques(MALBAC whole genome amplification,MDA isothermal amplification,and random primer amplification)were not applicable to tissue samples and were not effective in increasing the relative abundance of pathogen nucleic acids.Selective lysis and quantitative degradation of host DNA were suitable for processing tissue samples with high host back-ground and low pathogenic microorganism levels,whereas non-specific amplification methods were not applicable to tissue samples for pre-processing of macro-genome high-throughput sequencing.

Objective To summarize the characteristics and sources of infection risk of Bacillus cereus(B.cereus)septicemia in low birth weight(LBW)infants,and provide reference for infection prevention and control.Methods Characteristics of 3 LBW infants with B.cereus septicemia were reported and analyzed,relevant literatures were searched for systematically summarizing the characteristics and sources of infection risk of B.cereus septicemia in infants.Results Among 3 LBW infants reported in this paper,2 died and 1 was cured.No clear infection source was found in the environment through object surface sampling analysis.A total of 43 cases were reported in the pre-vious literatures,41 cases had reported on survival status,the mortality was 36.6％.The main risk factors for in-fection were auxiliary ventilation,umbilical vein catheterization or central vein catheterization and enteral feeding.In the reported 3 cases with clear sources of infection,the pathogens came from mother's milk,decoration area,sur-face of infant incubator and ultrasonic probe.Conclusion Premature LBW infants with B.cereus septicemia have high mortality and poor prognosis,which is a healthcare-associated infectious disease seriously threatening the life and health of LBW infants.Neonatal intensive care unit(NICU)and relevant departments of healthcare-associated infection(HAI)management need to pay attention to the prevention,monitoring,early detection,as well as active diagnosis and treatment of HAI caused by this bacteria.

Introducing fingerprint level 3 features(especially sweat pores)in fingerprint recognition can significantly improve the value of fingerprints.However,conventional fingerprint visualization methods suffer from issues such as poor stability and reproducibility,insufficient resolution,and feature masking in detecting level 3 features.Electrospun membrane has unique advantages in latent fingerprint(LFP)detection due to its excellent adsorption performance and high specific surface area,and thus its application potential in LFP visualization urgently need to be explored.A novel pore visualization method based on core-shell structured PAN-Flu/PVP composite nanofibrous membrane was proposed in this work.Specifically,the PAN-Flu/PVP composite nanofibrous membrane was prepared via coaxial electrospinning technology,with polyacrylonitrile(PAN)loaded with fluorescein(Flu)as the core and polyvinylpyrrolidone(PVP)as the shell.The experimental results showed that the prepared PAN Flu/PVP composite nanofibrous membrane had a porous structure and excellent adsorption performance.Based on the water solubility of the outer shell PVP and the water induced fluorescence enhancement effect of the core Flu,high-resolution visualization of sweat pores could be achieved within 2 s.The optimization experiment showed that the best quality of sweat latent fingerprints was obtained when the Flu content was 4 mg/mL,the spinning time was 1 h,and the sweating time was 2 min.Through repeated fingerprinting and live fingerprint comparison experiment,the strong stability and high reproducibility of the as-produced membrane in displaying fingerprint sweat pores were finally verified.In summary,the development method could quickly,stably and accurately extract the spatial distribution and activity level of fingerprint sweat pores,which was of great significance for improving the utilization and value of fingerprints.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.