Microplastics are plastic fibers, particles, or films with a particle size of less than 5 mm. They are widely found in water, soil, and atmospheric environments. Because of their small particle size, large surface area, strong adsorptive capacity and other characteristics, they can adsorb heavy metals, persistent organic pollutants, environmental endocrine disruptors and other substances. When humans are exposed to microplastics, the particles can not only have toxic effects on the contact sites, but also penetrate tissue barriers and acess other organs, potentially causing systemic toxic effects. Existing epidemiological and toxicological studies have shown that microplastics can cause damage to the digestive, respiratory, nervous and reproductive systems. However, their bio-distribution, metabolic characteristics and toxic mechanisms have not been fully clarified. This study provides a systematic review of the absorption, distribution, metabolism and excretion characteristics of microplastics in living organisms. By integrating factors such as particle size and chemical composition, this study also investigates the toxic effects of microplastics on multiple organ systems (e.g., digestive and nervous systems) and key organs (e.g., intestine and liver), as well as the underlying molecular mechanisms. The aim is to provide a scientific basis for a comprehensive assessment of the health risks of microplastics and to offer theoretical support for the development of relevant prevention and control strategies.

ObjectiveHyperlipidemia （HLP） is a chronic metabolic disease characterized by abnormal lipid metabolism and is one of the important risk factors for the occurrence of cardiovascular and cerebrovascular diseases. Its incidence has increased year by year， showing a trend toward younger onset. The overall prevalence of HLP among adults in China is as high as 40.40%. Although existing animal models provide important tools for research on the mechanisms of HLP， they generally show insufficient clinical concordance and lack the combined disease-syndrome characteristics of traditional Chinese medicine （TCM） and Western medicine. This article systematically reviews the research progress of HLP animal models， integrates the clinicopathological characteristics of TCM and Western medicine， and proposes new model construction strategies， aiming to provide an experimental basis for accurately analyzing the pathogenesis of HLP and developing integrated TCM-Western medicine therapies. MethodsBased on literature included in PubMed， CNKI， and Wanfang databases over the past 30 years， the construction methods and evaluation systems of HLP animal models were systematically retrieved and summarized. The concordance of existing animal models was calculated according to the new animal model evaluation method proposed by Professor MIAO Mingsan. ResultsAmong existing Western medicine modeling approaches， genetically modified models showed the highest concordance （72%）， followed by dietary induction （66%） and chemical drug induction （60%）. The dietary induction method is the most widely used in practice because of its simple operation and mature technology. Existing TCM modeling approaches are classified into three types， i.e.， spleen deficiency type， phlegm syndrome type， and liver-kidney yin deficiency type. Among them， the phlegm syndrome type shows a high degree of concordance. However， all three types have the problem of non-objective evaluation indicators and insufficient application of tongue and pulse assessment. ConclusionThe construction of existing HLP disease-syndrome combined animal models is still mainly based on Western medicine modeling methods and lacks adequate reflection of TCM syndromes. In the future， HLP animal models that conform to the clinical disease-syndrome characteristics of both TCM and Western medicine may be constructed through multifactor composite modeling strategies， intelligent tongue image analysis via robot learning， objective pulse detection， the establishment of objective evaluation systems for TCM syndromes through big data computing， and the application of cutting-edge technologies.

Perioperative rehabilitation aims to alleviate symptoms,restore function,and improve quality of life.These goals largely involve subjective patient experiences,which are not fully captured by traditional outcome measures.In recent years,patient-reported outcomes(PROs)have emerged as essential tools to quantify patients'perceptions of health and have been widely used in drug and device clinical trials.This review summarizes the current applications of PROs in general surgery,including symptom description,comparison of surgical methods,complication warning,and patient management.Practical cases and evidence from domestic and international studies are discussed.With the integration of electronic PROs(ePROs),artificial intelligence,and natural language processing,future efforts should focus on developing localized,specialty-specific tools and establishing stronger correlations between PROs and clinical outcomes to support the transition from disease-centered to patient-centered surgical care.

Objective To explore the application of artificial intelligence quantitative analysis in the prognostic assessment of patients with connective tissue disease-associated interstitial lung disease(CTD-ILD).Methods A total of 67 patients with CTD-ILD were retrospectively selected.All subjects underwent high-resolution computed tomography(HRCT)scanning and were categorized into three groups,namely mild,moderate and severe groups,based on the results of pulmonary function tests.The survival rates of patients in each group were compared using Kaplan-Meier curves and analysis of variance.The univariate analysis was employed to assess the rela-tionships between artificial intelligence parameters and patient prognosis.Significant results were then incorporated into a multifacto-rial Cox regression model to construct the most accurate predictive model.Results A significant difference in survival rate was observed among the three groups(P<0.05).Univariate analysis revealed that the volume and percentage of lung infection in deceased patients were significantly greater than those in surviving patients,while the lung volume in deceased patients was significantly smaller than that in surviving patients.The analysis showed left lung volume and the percentage of lesion components CT value≤-750 HU as risk factors for prognosis,and the combination of these two factors as the most effective predictive model.Conclusion The artificial intelligence analysis system for lung lesions provides a new systematic and quantitative method for the prognostic assessment of CTD-ILD patients,which can be used for the prognostic assessment and follow-up of CTD-ILD patients.

Objective To explore the risk factors for healthcare-associated infection(HAI)in lung transplant re-cipients(LTRs),and construct a predictive nomogram model.Methods Clinical data of patients who underwent lung transplant in Wuxi People's Hospital from January 2019 to December 2023 were analyzed retrospectively.The patients were divided into a training set(n=506)and a validation set(n=218).Independent risk factors were screened through LASSO regression,and multivariate logistic regression was included to construct a nomogram pre-diction model.The discrimination,calibration,and clinical applicability of the model were evaluated using receiver operating characteristic(ROC)curves,Hosmer-Lemeshow goodness-of-fit,and decision curves.Results Among the 506 LTRs,201 developed HAIs,with an incidence of 39.72％.The major infection site was lower respiratory tract,and the major pathogen were Gram-negative bacilli(Acinetobacter baumannii).Older age,use of extracorpo-real membrane oxygenation(ECMO),double-lung transplant,surgery duration＞3 hours,long duration of contin-uous fever,frequent abnormal blood routine examination,and long duration of combined use of antimicrobial agents were identified as independent risk factors for HAI after lung transplant.The ROC curve analysis results showed that the areas under the curve(AUCs)of the training set and the validation set were 0.74(95％CI:0.70-0.78)and 0.71(95％CI:0.64-0.78),respectively.The Hosmer-Lemeshow test results showed that there was no sta-tistically significant difference between the predictive and actual probability of HAI(P＞0.05).The clinical decision curve results indicated that the model had clinical benefits at a threshold probability value of 7％-71％.Conclusion The nomogram prediction model constructed in this study can effectively evaluate the risk of postoperative infection in LTRs.The model is stable and has high clinical application value,providing scientific reference for postoperative infection prevention and control.

Objective To explore the relationship between the head injury criterion(HIC)values in anterior-posterior(AP)collisions and lateral-medial(LM)collisions.Methods A total of 102 male SD rats were randomly divided into a control group of 0 m(6 rats),4 AP groups(12 rats/group)and 4 LM groups(12 rats/group).After adaptive training,the classical Marmarou model was used to execute the brain AP and LM collisions under a series of different height impacts,and the HIC values were calculated.The experimental group data of the walk-pole test and grip strength test were collected at 24 hours before and after injury,and the data of the proportion of hemorrhage in the corpus callosum and pyramidal tracts were collected at 24 hours after injury.Results As the collision heights increased in both AP and LM groups,there were positive correlations with changes in WP test time and peak GS,and corresponding increases in the proportion of hemorrhage in the cc and py.According to the mathematical relationships between the comprehensive injury degrees and HIC values,it was found that at the same injury degree,LM-HIC value was less than AP-HIC value.A mathematical relationship between AP-HIC and LM-HIC was fitted based on the comprehensive injury degrees.At the same HIC,LM group experienced more severe injuries,and AP group was more tolerant to head collision.Conclusion The injury severity in LM group is greater than that of AP group at the same HIC.Preliminary results show there is a linear mathematical relationship between AP-HIC and LM-HIC.These results can be expected to expand the application scope of HIC and achieve an accurate assessment of the LM collision severity.

Objective To explore the relationship between the head injury criterion(HIC)values in anterior-posterior(AP)collisions and lateral-medial(LM)collisions.Methods A total of 102 male SD rats were randomly divided into a control group of 0 m(6 rats),4 AP groups(12 rats/group)and 4 LM groups(12 rats/group).After adaptive training,the classical Marmarou model was used to execute the brain AP and LM collisions under a series of different height impacts,and the HIC values were calculated.The experimental group data of the walk-pole test and grip strength test were collected at 24 hours before and after injury,and the data of the proportion of hemorrhage in the corpus callosum and pyramidal tracts were collected at 24 hours after injury.Results As the collision heights increased in both AP and LM groups,there were positive correlations with changes in WP test time and peak GS,and corresponding increases in the proportion of hemorrhage in the cc and py.According to the mathematical relationships between the comprehensive injury degrees and HIC values,it was found that at the same injury degree,LM-HIC value was less than AP-HIC value.A mathematical relationship between AP-HIC and LM-HIC was fitted based on the comprehensive injury degrees.At the same HIC,LM group experienced more severe injuries,and AP group was more tolerant to head collision.Conclusion The injury severity in LM group is greater than that of AP group at the same HIC.Preliminary results show there is a linear mathematical relationship between AP-HIC and LM-HIC.These results can be expected to expand the application scope of HIC and achieve an accurate assessment of the LM collision severity.

Objective To investigate the patterns of syndrome changes and their possible material basis in mouse models of chronic psychological stress during the modeling process.Methods A chronic unpredictable mild stress(CUMS)method was employed to prepare a model of chronic psychological stress in mice.After 2 weeks of modeling,Xiaoyao powder(XYS group)and Sini powder(SNS group)were administered concurrently with the modeling process.General conditions,behavioral,and biochemical indicators were compared between the modeling mice(M4 and M6 group)and the mice treated for 2 weeks(S4 and X4 group)and 4 weeks(S6 and X6 group)after chronic psychological stress.Results Compared with M4 group mice,body mass,total distance and central distance in the open field test,serum NE concentration,and gastric Ghrelin expression were increased in S4 group and X4 group mice,and sugar water preference rate and serum D-xylose concentration were increased in S4 group mice.Compared with X4 group mice,total distance in the open field test and serum D-xylose concentration were increased in the S4 group mice.Compared with M6 group mice,body mass,serum NE concentration,serum D-xylose concentration,and gastric Ghrelin expression were increased in group S6 and X6 group mice;sugar water preference rate,total distance in the open field test,and active avoidance counts in the shuttle box test were increased in X6 group mice,while their serum CORT concentration was decreased.Compared with S6 group mice,body mass,total distance in the open field test,serum D-xylose concentration,and gastric Ghrelin expression in X6 group mice were increased.Conclusions During the process of modeling chronic psychological stress in mice,the traditional Chinese medicine syndrome evolved from liver qi stagnation to liver qi stagnation with spleen deficiency.The biological bases of the syndrome changes may be the combined changes in serum CORT and NE concentrations and the decrease in gastric Ghrelin levels.

AIM:To evaluate the effects of liposo-mal bupivacaine for interscalene brachial plexus block on postoperative analgesia and diaphragmat-ic function in patients undergoing arthroscopic ro-tator cuff repair surgery based on a randomized controlled trial.METHODS:Forty patients who scheduled to undergo arthroscopic rotator cuff re-pair surgery,regardless of gender,aged 18 to 65 years,ASA grade Ⅰ or Ⅱ were selected from October 2023 to February 2024.The patients were random-ly divided into bupivacaine liposome group(group LB)and the levobupivacaine group(group BV),with 20 cases in each group.Patients in both groups re-ceived an ultrasound-guided interscalene brachial plexus block,15 mL mixed liquids(bupivacaine lipo-some 10 mL+0.5％levobupivacaine 10 mL)were in-jected into the level of C5-C6 nerve roots and 5 mL onto the surface of prevertebral fascia in the LB group,and same volume of 0.375％levobupiva-caine were injected at the same sites in the BV group respectively.Standardized general anesthe-sia and standardized postoperative analgesia were followed.The primary outcome measures included 48 h rest/motor numerical rating scale(NRS)scores after surgery and the incidence of hemidiaphrag-matic paralysis(HDP)after block.The secondary outcome measures included rest/motor NRS scores at other time points after surgery,pulse oxygen sat-uration(SpO2)30 min after block,duration of sen-sory and motor block,number of analgesic pump presses,time of first postoperative used of opioid drugs and opioid consumption,use of additional analgesics in the wards,satisfaction with analgesia,and the occurrence of perioperative adverse ef-fects and neurological complications.RESULTS:Compared with group BV,patients in LB group showed lower rest NRS scores at 48 h postopera-tion(P＜0.05)and higher incidence of HDP at 24 h after block(45％vs.5.3％,P＜0.05).However,there was no significant difference in motor NRS scores at 48 h,HDP incidence at 30 min and 6 h after block between the two groups(P＞0.05).Both groups showed a decrease in SpO2 after block com-pared to before block(P＜0.05).Compared with BV group,patients in LB group had a significantly lon-ger duration of sensory and motor block(P＜0.01),fewer effective presses with the analgesic pump(P＜0.01),delay in first opioid use and less opioid con-sumption(P＜0.05),higher level of satisfaction with analgesia(P＜0.01),and a lower rate of use of addi-tional analgesics in the ward(P＜0.05).There was no statistically significant difference in the total in-traoperative remifentanil consumption,incidence of perioperative adverse reactions and neurological complication between the two groups(P＞0.05).CONCLUSION:Compared with using levobupiva-caine alone,the addition of liposomal bupivacaine for interscalene brachial plexus block in arthroscop-ic rotator cuff repair can reduce postoperative NRS scores,decrease postoperative opioid dosage and significantly prolong blockduration,but can easily lead to longer duration of HDP in patients.

The receptors of Newcastle disease virus(NDV)are sialic acid receptors that mainly in-clude neu5ac-α-2,3gal-β-1,4Glc(SAα2,3Gal)and neu5ac-2-s-α-2,6Gal10Me(SAα2,6Gal).The distribution and abundance of the two receptors in host cells have important effects on virus sus-ceptibility and intracellular proliferation.In order to further explore the effects of sialic acid recep-tors on susceptibility and proliferation characteristics of NDV different strains,the expression lev-els of SAα2,3Gal and SAα2,6Gal receptors on BHK-21 cell membrane were adjusted by overex-pression and RNAi assays,and the TCID50 values were determined after different BHK-21 cells were inoculated with NDV strains Ⅰ and LaSota.The results suggested that NDV strain LaSota preferentially binds to SAα2,6Gal and strain Ⅰ selectively binds to SAα2,3Gal receptor.Further-more,the viral titers of NDV strains LaSota and Ⅰ in cell culture were positively correlated with the expression levels of SAα2,6Gal and SAα2,3Gal receptors on host cell membrane respectively.In conclusion,our studies provide an understanding of the relationship between infectivity of NDV different strains and receptor types of host cell,and provide a method to increase viral titer of NDV for cell-based vaccine production.