Chicken coccidia specialize in growing and reproducing within the epithelial cells of the chicken intestinal mucosa,posing a threat to the health of the chicken flock.However,traditional chemical drugs are difficult to pass through the cell barrier and can easily lead to the emergence of drug-resistant strains and residual veterinary drugs,posing a huge challenge to the prevention and control of coccidiosis.Therefore,it is necessary to develop new strategies against coccidiosis.Nano-drugs have the advantages of good biocompatibility,easy modification,and high efficiency,impro-ving the penetration of cell membranes while reducing drug toxicity and side effects.They are ex-pected to be applied in the prevention and treatment of coccidiosis.This article introduces various nanomedicines for treating chicken coccidiosis,summarizes their advantages compared to tradition-al formulations,focuses on the application of nanomedicines in the treatment of chicken coccidio-sis,elucidates the existing problems of nanomedicine treatment for chicken coccidiosis,and looks forward to the challenges and future development directions in this field,in order to provide impor-tant references for the development of nanomedicines for treating chicken coccidiosis.

Objective:To investigate the occurrence of frailty and its influencing factors in patients with lung cancer.Methods:Patients with lung cancer receiving treatment at Xiangya Hospital of Central South University were recruited between March 2022 and March 2023.The FRAIL scale was employed to categorize the patients into non-frailty, pre-frailty, and frailty groups.A comparison of their basic data, disease data, and relevant laboratory indicators before treatment was conducted to identify factors influencing frailty in lung cancer patients.Results:A total of 240 patients with lung cancer were analyzed in this study, comprising 46 patients(19.2%)in the non-frailty group, 121 patients(50.4%)in the pre-frailty group, and 73 patients(30.4%)in the frailty group.The average age of the frailty and pre-frailty groups was significantly higher than that of the non-frailty group( P<0.05).Additionally, the body mass index(BMI)of the frailty group was significantly lower compared to both the non-frailty and pre-frailty groups( P=0.005).The proportion of male patients in the frailty group was lower than that of female patients, while the proportion of pre-frailty patients was higher among females( P=0.017).Furthermore, the percentage of patients receiving family care was lower in both the frailty and pre-frailty groups compared to those without family care( P<0.001).Various blood markers such as white blood cells(WBC), neutrophils(NEUT), N terminal pro B type natriuretic peptide(NT-proBNP), carcinoembryonic antigen(CEA), neuron-specific enolase(NSE), neurophil to lymphocyte ratio(NLR), monocyte-lymphocyte ratio(MLR), and systemic inflammatory index(SII)were significantly elevated in the frailty group compared to the non-frailty group, whereas red blood cells(RBC), hemoglobin(Hb), hematocrit(HCT), lymphocytes(LYMPH), total protein(TP), albumin(Alb), total cholesterol(TC), high-density lipoprotein cholesterol(HDL-C), and low-desity lipoprotein cholesterol(LDL-C)were notably lower in the frailty group(all P<0.05).Similarly, NEUT, NLR, platelet to lymphocyte ratio(PLR), MLR, and SII were higher in the frailty group compared to the pre-frailty group, while RBC, Hb, HCT, LYMPH, TP, Alb, TC, HDL-C, and LDL-C were lower in the frailty group than the pre-frailty group( P<0.05).Moreover, NT-proBNP levels were higher in the pre-frailty group than in the non-frailty group, with all these differences being statistically significant(all P<0.05).The results of multifactorial Logistic regression analyses revealed several significant associations with frailty in lung cancer patients.Males had an increased risk of frailty( OR=2.80, P=0.033), while family care was linked to a decreased risk( OR=0.37, P=0.004).Additionally, advancing age was associated with a higher risk of frailty( OR=1.06, P=0.004).Furthermore, higher Alb levels were correlated with a reduced risk of frailty( OR=0.91, P=0.023), elevated LDL-C levels were associated with a lower risk( OR=0.59, P=0.027), and increased CEA levels were linked to a higher risk of frailty( OR=1.01, P=0.003)in lung cancer patients. Conclusions:In lung cancer patients, older age, male gender, and higher CEA levels were linked to a higher risk of frailty, whereas family care, higher Alb levels, and high LDL-C levels were associated with a lower risk of frailty.These findings imply the importance of intensifying frailty screening in lung cancer patients to identify and intervene in frailty risk early on.

Objective:To analyze the gene mutation type and clinical phenotype of patients with PRRT2 mutation, and explore their relations with prognosis. Methods:A total of 18 patients with PRRT2 gene mutation (1 patient with novel mutation in PRRT2 gene, and 17 probands in 17 families with PRRT2 gene mutation) were enrolled in Department of Neurology, First Affiliated Hospital of Air Force Medical University from January 2018 to July 2023. Serum of the patients was collected for whole exon sequencing, and mutation sites and types of PRRT2 gene were analyzed. SWISS-MODEL website was used to predict the changes in protein structure caused by PRRT2 gene mutation. The relations of gene mutation type and clinical phenotype with prognosis of these patients were analyzed. Results:(1) All 18 patients with PRRT2 gene mutation were heterozygous mutation, including 12 frameshift mutations, 5 missense mutations, and 1 integer mutation. The clinical phenotype included benign familial infantile epilepsy (BFIE) in 5 patients, epilepsy in 6 patients, exercise-induced paroxysmal kinesigenic dyskinesia (PKD) in 5 patients, and infantile convulsion and choreoathetosis (ICCA) in 2 patients. A total of 8 mutation sites were found in 18 patients with PRRT2 gene mutation, of which 3 mutation sites have been reported, and 5 mutation sites have not been reported, including c.647(exon2)C>A, c.647(exon2)C>G, c.170(exon2)delC, c.981(exon3)C>G, and lossl(EXON: 2)(all). (2) Eighteen patients mainly accepted oxcarbazepine, levetiracetam, and sodium valproate in combination or monotherapy. Among them, 5 BFIE patients, 2 ICCA patients and 3 epilepsy patients were seizure-free after treatment. PKD patients did not respond well to oxcarbazepine. (3) Three frameshift mutations (mutation sites: c.649 [exon2]_c.650 [exon2] insC, c.640 [exon2]_c.641 [exon2] insC, and c.170 [exon2] delC) led to premature termination of protein translation, resulting in significant changes in protein structure. Four missense mutations (mutation sites: c.640[exo2]G>C, c.647[exon2]C>A, c.647[exon2]C>G, and c.981[exon3]C>G) had little effect on protein structure changes. No relation was found between changes of protein structure caused by different mutation types and prognosis. Conclusion:PRRT2 gene mutation patients with clinical phenotypes of BFIE and ICCA have good prognosis, but the mutation type is not related with the prognosis of patients.

Objective:To investigate the predictive value of controlling nutritional status (CONUT) score in the prognosis of patients with advanced diffuse large B-cell lymphoma (DLBCL).Methods:A retrospective case series study was performed. The clinical data of 654 patients newly diagnosed with advanced DLBCL diagnosed in 7 medical centers in Huaihai Lymphoma Working Group from October 2009 to January 2022 were retrospectively collected. All the patients received rituximab-based immune chemotherapy regimens. The patients were randomly assigned to the training set (458 cases) and the validation set (196 cases) in a 7:3 ratio. The clinicopathological data of patients were collected, and the CONUT score was calculated based on albumin, lymphocyte count, and total cholesterol. The optimal critical value of CONUT scote was determined by using MaxStat method. Kaplan-Meier method was used to draw survival curves; Cox proportional hazards model was used to make univariate analysis and multivariate analysis on the factors influencing overall survival (OS). The efficacy of CONUT score in combination with the International prognostic index (IPI) and an enhanced IPI (NCCN-IPI) in predicting OS was evaluated by using receiver operating characteristic (ROC) curves.Results:The median follow-up time of 654 patients was 38.1 months (95% CI: 35.3 months- 40.9 months), and the 5-year OS rate was 49.2%. According to the MaxStat method, the optimal critical value for CONUT score was determined to be 6 points. All the patients were classified into the normal nutritional status group (CONUT score ≤ 6 points, 489 cases) and the poor nutritional status group (CONUT score > 6 points, 165 cases). The results of the multivariate analysis showed that CONUT score > 6 points, male, lactate dehydrogenase >240 U/L, high white blood cell count, low hemoglobin level and age > 60 years were independent risk factors for OS of patients with advanced DLBCL (all P < 0.05). Patients in the poor nutritional status group (CONUT score > 6 points) had worse OS compared with that in the normal nutritional status group in the overall cohort of advanced DLBCL. Subgroup analysis revealed that among patients with Eastern Cooperative Oncology Group-performance status (ECOG PS) score < 2 points, IPI low-intermediate risk, IPI intermediate-high risk, NCCN-IPI low-intermediate risk, and NCCN-IPI intermediate-high risk, the patients in the poor nutritional status group (CONUT score > 6 points) had worse OS compared with that in the normal nutritional status group (CONUT score ≤ 6 points) (all P < 0.05). Conclusions:CONUT score has a certain value in the assessment of the prognosis of patients with advanced DLBCL, and its predictive efficacy is further improved when combined with IPI and NCCN-IPI.

Objective:To analyze the epidemiological characteristics of human respiratory syncytial virus (HRSV) in cases of febrile respiratory syndrome in China from 2010 to 2020.Methods:Based on the sub-project of the National Science and Technology Major Project for Infectious Disease Prevention and Control "Infectious Disease Monitoring Technology Platform", active monitoring of febrile respiratory syndrome cases was conducted in sentinel hospitals in 31 provinces across China (excluding Hong Kong, Macau, and Chinese Taiwan) from January 2010 to December 2020, resulting in the inclusion of 191 441 cases. Clinical specimens of monitored cases were screened for HRSV nucleic acid, and the differences in HRSV detection rates among different age groups, regions, and time periods were analyzed using the χ 2 test/Fisher exact probability method. Results:Among the 191 441 cases of febrile respiratory syndrome in China from 2010 to 2020, the age group M ( Q1, Q3) was 9 (2, 40) years old, with 83 773 cases (43.8%) in the <5 years old group. There were 113 660 males, with a male-to-female ratio of 1.5∶1.0. There were as many as 105 508 cases (55.2%) of scattered children and preschool children. About 70 565 cases (36.9%) lived in the northern region. There were 13 858 HRSV positive cases, with a total positive rate of 7.2%. The positive rate of HRSV detection in the northern population was 5.7% (4 004/70 565), which was lower than that in the southern population (8.2%, 9 854/120 876), and the difference was statistically significant (χ 2=407.4, P<0.001). HRSV was detected in all age groups, with the highest positive rate of 23.9% in the <6 months age group. The month with the highest positive rate was December, and autumn and winter were the main epidemic seasons. Both northern and southern HRSV subtypes were mainly infected with type A, with a low proportion of mixed infections of type A and type B. Conclusion:HRSV is a common pathogen causing respiratory infections in children from 2010 to 2020. It can be detected throughout the year and shows the main peak of prevalence in autumn and winter. The HRSV strain is mainly classified as a type A infection.

Objective:To analyze the epidemiological characteristics of human respiratory syncytial virus (HRSV) in cases of febrile respiratory syndrome in China from 2010 to 2020.Methods:Based on the sub-project of the National Science and Technology Major Project for Infectious Disease Prevention and Control "Infectious Disease Monitoring Technology Platform", active monitoring of febrile respiratory syndrome cases was conducted in sentinel hospitals in 31 provinces across China (excluding Hong Kong, Macau, and Chinese Taiwan) from January 2010 to December 2020, resulting in the inclusion of 191 441 cases. Clinical specimens of monitored cases were screened for HRSV nucleic acid, and the differences in HRSV detection rates among different age groups, regions, and time periods were analyzed using the χ 2 test/Fisher exact probability method. Results:Among the 191 441 cases of febrile respiratory syndrome in China from 2010 to 2020, the age group M ( Q1, Q3) was 9 (2, 40) years old, with 83 773 cases (43.8%) in the <5 years old group. There were 113 660 males, with a male-to-female ratio of 1.5∶1.0. There were as many as 105 508 cases (55.2%) of scattered children and preschool children. About 70 565 cases (36.9%) lived in the northern region. There were 13 858 HRSV positive cases, with a total positive rate of 7.2%. The positive rate of HRSV detection in the northern population was 5.7% (4 004/70 565), which was lower than that in the southern population (8.2%, 9 854/120 876), and the difference was statistically significant (χ 2=407.4, P<0.001). HRSV was detected in all age groups, with the highest positive rate of 23.9% in the <6 months age group. The month with the highest positive rate was December, and autumn and winter were the main epidemic seasons. Both northern and southern HRSV subtypes were mainly infected with type A, with a low proportion of mixed infections of type A and type B. Conclusion:HRSV is a common pathogen causing respiratory infections in children from 2010 to 2020. It can be detected throughout the year and shows the main peak of prevalence in autumn and winter. The HRSV strain is mainly classified as a type A infection.

OBJECTIVE: To investigate the consistency and diagnostic performance of magnetic resonance imaging (MRI) for detecting microvascular invasion (MVI) of hepatocellular carcinoma (HCC) and the validity of deep learning attention mechanisms and clinical features for MVI grade prediction. METHODS: This retrospective study was conducted among 158 patients with HCC treated in Shunde Hospital Affiliated to Southern Medical University between January, 2017 and February, 2020. The imaging data and clinical data of the patients were collected to establish single sequence deep learning models and fusion models based on the EfficientNetB0 and attention modules. The imaging data included conventional MRI sequences (T₁WI, T₂WI, and DWI), enhanced MRI sequences (AP, PP, EP, and HBP) and synthesized MRI sequences (T1mapping-pre and T1mapping-20 min), and the high-risk areas of MVI were visualized using deep learning visualization techniques. RESULTS: The fusion model based on T1mapping-20min sequence and clinical features outperformed other fusion models with an accuracy of 0.8376, a sensitivity of 0.8378, a specificity of 0.8702, and an AUC of 0.8501 for detecting MVI. The deep fusion models were also capable of displaying the high-risk areas of MVI. CONCLUSION The fusion models based on multiple MRI sequences can effectively detect MVI in patients with HCC, demonstrating the validity of deep learning algorithm that combines attention mechanism and clinical features for MVI grade prediction.
Humans ; Carcinoma, Hepatocellular ; Retrospective Studies ; Liver Neoplasms ; Magnetic Resonance Imaging ; Algorithms

ObjectiveTo investigate the effect of Dendrobii Caulis mixture on cell inflammatory response and apoptosis in diabetic rat with non-alcoholic fatty liver disease（NAFLD） and its possible mechanism. MethodForty male SD rats were randomly divided into blank group and model group of type 2 diabetes mellitus（T2DM） with NAFLD according to body weight. The model was established by high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin（STZ）， which was randomly divided into the model group， Dendrobii Caulis mixture group（16.67 g·kg^-1·d^-1） and metformin group（100 mg·kg^-1·d^-1） according to blood glucose and body weight， and 10 rats in each group. Rats in each group were administered by continuous gavage for 4 weeks， the blank and model groups were given saline by gavage at 10 mL·kg^-1·d^-1. Fasting blood glucose（FBG）， serum insulin（INS）， glycosylated serum protein（GSP）， triglyceride（TG）， total cholesterol（TC）， high density lipoprotein（HDL-C）， low density lipoprotein（LDL-C）， alanine aminotransferase（ALT） and aspartate aminotransferase（AST） were detected in each group of rats. The liver tissues of rats in each group were stained with hematoxylin-eosin（HE） to observe the pathological changes， and the positive expressions of nuclear transcription factor（NF）-κB， NOD-like receptor heat protein structural domain-related protein 3（NLRP3）， interleukin（IL）-1β and tumor necrosis factor（TNF）-α were observed by immunohistochemistry. Western blot and fluorescence quantitative polymerase chain reaction（Real-time PCR） were used to detect the protein and mRNA expression of B-cell lymphoma-2（Bcl-2）， Bcl-2 associated X protein（Bax）， Caspase-3 and NF-κB p65， NLRP3， IL-1β， TNF-α in liver tissue of rats in each group. ResultCompared with the blank group， FBG， GSP， TC， TG， LDL-C， AST and ALT levels were increased， INS and HDL-C levels were decreased， Bax， Caspase-3， NLRP3， IL-1β， TNF-α protein and mRNA expression were increased in model group， the ratio of p-NF-κB/NF-κB protein increased， the expression of Bcl-2 protein and mRNA decreased， and the positive immunohistochemical expression of NF-κB， NLRP3， IL-1β and TNF-α increased， and the differences were statistically significant（P<0.01）. The morphological structure of the liver was disrupted， and obvious fat vacuoles were seen. Compared with the model group， FBG， GSP， TC， TG， LDL-C， AST and ALT levels of Dendrobii Caulis mixture group and metformin group were decreased， INS and HDL-C levels were increased， and protein and mRNA expressions of Bax， Caspase-3， NLRP3， IL-1β and TNF-α were decreased， the protein ratio of p-NF-κB/NF-κB decreased， the expression of Bcl-2 protein and mRNA increased， and the positive immunohistochemical expressions of NF-κB， NLRP3， IL-1β and TNF-α decreased， and the differences were statistically significant（P<0.01）. The liver morphology and structure were relatively complete， and the fat vacuoles were reduced. ConclusionDendrobii Caulis mixture can inhibit cell apoptosis， reduce inflammatory response and alleviate liver injury in rats with T2DM and NAFLD， the mechanism may be related to inhibiting the activation of NF-κB pathway， blocking the activation of NLRP3 inflammatory vesicles， reducing IL-1β secretion， attenuating Caspase-3 activity and reducing the ratio of Bcl-2/Bax.

The composition of serum is extremely complex,which complicates the discovery of new pharmaco-dynamic biomarkers via serum proteome for disease prediction and diagnosis.Recently,nanoparticles have been reported to efficiently reduce the proportion of high-abundance proteins and enrich low-abundance proteins in serum.Here,we synthesized a silica-coated iron oxide nanoparticle and devel-oped a highly efficient and reproducible protein corona(PC)-based proteomic analysis strategy to improve the range of serum proteomic analysis.We identified 1,070 proteins with a median coefficient of variation of 12.56％using PC-based proteomic analysis,which was twice the number of proteins iden-tified by direct digestion.There were also more biological processes enriched with these proteins.We applied this strategy to identify more pharmacodynamic biomarkers on collagen-induced arthritis(CIA)rat model treated with methotrexate(MTX).The bioinformatic results indicated that 485 differentially expressed proteins(DEPs)were found in CIA rats,of which 323 DEPs recovered to near normal levels after treatment with MTX.This strategy can not only help enhance our understanding of the mechanisms of disease and drug action through serum proteomics studies,but also provide more pharmacodynamic biomarkers for disease prediction,diagnosis,and treatment.

Tumor cells have unique metabolic programming that is biologically distinct from that of corresponding normal cells. Resetting tumor metabolic programming is a promising strategy to ameliorate drug resistance and improve the tumor microenvironment. Here, we show that carboxyamidotriazole (CAI), an anticancer drug, can function as a metabolic modulator that decreases glucose and lipid metabolism and increases the dependency of colon cancer cells on glutamine metabolism. CAI suppressed glucose and lipid metabolism utilization, causing inhibition of mitochondrial respiratory chain complex I, thus producing reactive oxygen species (ROS). In parallel, activation of the aryl hydrocarbon receptor (AhR) increased glutamine uptake via the transporter SLC1A5, which could activate the ROS-scavenging enzyme glutathione peroxidase. As a result, combined use of inhibitors of GLS/GDH1, CAI could effectively restrict colorectal cancer (CRC) energy metabolism. These data illuminate a new antitumor mechanism of CAI, suggesting a new strategy for CRC metabolic reprogramming treatment.