OBJECTIVE To investigate the efficacy and safety of ropivacaine in transversus thoracis muscle plane block （TTMP） combined with pecto-intercostal fascial plane block （PIFB） for postoperative analgesia in median sternotomy.METHODS A total of 70 patients who underwent median sternotomy at the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture， from December 2025 to April 2026 were enrolled and randomly divided into the TTMP group （group T， n ＝35） and the TTMP combined with PIFB group （group TP， n ＝35）. Both groups received 40 mL of 0.3% ropivacaine under ultrasound guidance. group TP received bilateral TTMP combined with PIFB， while group T received bilateral TTMP alone. The total consumption of sufentanil within 48 hours postoperatively， analgesic indicators （intraoperative total sufentanil consumption， time to first patient-controlled analgesia pump press， number of effective analgesia pump presses）， recovery indicators （postoperative extubation time， length of ICU stay， time to first flatus， time to postoperative drainage tube removal， total length of hospital stay）， circulatory indicators （heart rate and mean arterial pressure at different time points）， postoperative pain scores [Visual Analog Scale （VAS） scores at rest and during movement at different time points]， and the incidence of adverse reactions （nausea and vomiting， CO 2 retention， delirium， respiratory tract infection） were compared between the two groups.RESULTS One patient in each group withdrew from the study. The total consumption of sufentanil within 48 hours postoperatively， all analgesic indicators， all recovery indicators， and VAS scores at rest and during movement in group TP were significantly better than those in group T （ P ＜0.05）. There were no statistically significant differences in circulatory indicators or the incidence of most adverse reactions between the two groups （ P ＞0.05）， but the incidence of postoperative CO 2 retention in group TP was significantly lower than that in group T （ P ＜0.05）.CONCLUSIONS Compared with TTMP alone， ropivacaine in TTMP combined with PIFB provides effective analgesia， promotes early recovery， and has good safety in patients undergoing median sternotomy.

AIM: To investigate the mechanism of Hexue Mingmu Tablets(HXMMT)in improving diabetic retinopathy(DR)based on transcriptomics.METHODS: Zebrafish DR models were established by 3-day glucose induction(130 mmol/L)starting at 3 days post-fertilization(dpf). Larvae were randomized into four groups: control group(CG; aquaculture water), model group(MG; 130 mmol/L glucose), low-dose HXMMT treatment group(L-HX; 130 mmol/L glucose +7.5 mg/L HXMMT), and high-dose HXMMT treatment group(H-HX; 130 mmol/L glucose +75 mg/L HXMMT), with a 3-day intervention period until 6 dpf. The area and length of eyes, and body length of zebrafish were observed by stereomicroscopy, retinal morphology was observed by hematoxylin-eosin staining(HE), and retinal vessel diameter was observed under fluorescence microscope. Differentially expressed genes(DEGs)were identified by RNA-sequencing(RNA-seq)technology to further elucidate the molecular mechanism of HXMMT in improving DR in zebrafish, and the sequencing accuracy was validated through quantitative real-time polymerase chain reaction(qRT-PCR).RESULTS: HE staining demonstrated that the intervention with HXMMT significantly improved the disordered cell arrangement, widened gaps, and thickened inner nuclear layer(INL)in ganglion cell layer GCL); retinal vascular diameter quantification revealed that the retinal vessel diameter of the MG significantly increased compared with the CG, and it was significantly changed after the intervention of HXMMT, with significant efficacy in the H-HX(P<0.05); transcriptomics profiling identified 1 470 reversed DEGs, predominantly enriched in the AMPK signaling pathway, FoxO signaling pathway, retinal developmental processes, and tight junction regulation. Technical validation confirmed strong correlation between qRT-PCR and RNA-seq data(R2=0.8571, P<0.05).CONCLUSION: HXMMT may improve retinal vascular microcirculation disorders in DR by regulating core targets including vsx1, pde6c, arr3a, plk1, fbp1b, foxo1a, pcna, and cdk1, as well as synergistically modulating processes such as retinal development in camera-type eyes, visual perception, microtubule cytoskeletal organization, tight junctions, and the AMPK signaling pathway, Foxo signaling pathway.

AIM: To investigate the relationship between Apelin and δ-like ligand 4(DLL4)expression levels and clinical stage and efficacy in patients with neovascular glaucoma(NVG).METHODS: A total of 96 NVG patients(96 eyes)who were admitted to our hospital from January 2022 to March 2024(NVG group)and 96 cataract patients(96 eyes)who underwent cataract surgery in our hospital during the same period(control group)were selected. NVG patients were divided into stage Ⅰ group(22 eyes), stage Ⅱ group(47 eyes)and stage Ⅲ group(27 eyes)according to the clinical stage; furthermore, patients were divided into ineffective group(20 eyes)and effective group(76 eyes)according to efficacy. Aqueous humor Apelin and DLL4 levels were detected by enzyme-linked immunosorbent assay. The influencing factors of the efficacy in NVG patients were analyzed by multivariate unconditional Logistic regression analysis, the evaluation efficiency of aqueous humor Apelin and DLL4 levels on the efficacy in NVG patients was analyzed by receiver operating characteristic(ROC)curve.RESULTS: Compared with the control group, aqueous humor Apelin and DLL4 levels in the NVG group were increased(all P<0.001). Aqueous humor Apelin and DLL4 levels in the stage Ⅰ, stage Ⅱ and stage Ⅲ groups increased in turn(all P<0.001). The effective rate of 96 NVG patients was 79.2%(76/96). Compared with the effective group, aqueous humor Apelin and DLL4 levels in the ineffective group increased(all P<0.001). Clinical stage III, high intraocular pressure, high Apelin and DLL4 were independent risk factors for ineffective treatment in NVG patients(all P<0.05). The area under the curve of the combined evaluation of aqueous humor Apelin and DLL4 levels in evaluating the efficacy of NVG patients was 0.874, which was greater than 0.790 and 0.786 of aqueous Apelin and DLL4 levels alone(all P<0.05).CONCLUSION: Aqueous humor Apelin and DLL4 levels in NVG patients increase, which relate to the increase of clinical stage and poor efficacy, and the combination of aqueous humor Apelin and DLL4 levels is more effective in evaluating the efficacy of NVG patients.

ObjectiveTo analyze the factors influencing meropenem-related liver injury （MRLI） and to explore their clinical predictive value. MethodsA retrospective case-control study was conducted， and the Chinese Hospital Pharmacovigilance System （CHPS） was used to establish a retrieval scheme. A total of 1 625 hospitalized cases using meropenem from January 2018 to December 2022 were collected. Patients were divided into case group （n=62） and control group （n=1 563） based on the presence or absence of liver injury. Clinical data and laboratory indicators from both groups were collected and analyzed. The t-test was used for comparison of normally distributed continuous data between the two groups， while the Mann-Whitney U test was used for comparison of continuous data not conforming to a normal distribution. The chi-square test was used for comparison of categorical data between the two groups. A multivariate Logistic regression analysis was performed to identify the influencing factors for MRLI. A Logistic regression equation was established， and the predictive value of these factors was assessed using the receiver operating characteristic （ROC） curve. ResultsThe results of univariate analysis indicated that the rates of male patients， hypoproteinemia， shock， intensive care unit （ICU） admissions， sepsis， and liver， gallbladder， and cardiovascular diseases， the levels of alanine aminotransferase （ALT）， alkaline phosphatase （ALP）， gamma-glutamyl transpeptidase （GGT）， aspartate aminotransferase （AST）， creatinine （CREA）， and procalcitonin （PCT）， and the number of hospitalization days were significantly higher in the case group than in the control group （P<0.05）， and that the platelet levels in the case group were significantly lower than those in the control group （P<0.05）. The multivariate Logistic regression analysis showed that male sex （odds ratio ［OR］=2.080， 95% confidence interval ［CI］： 1.050 — 4.123， P=0.036）， admission to the ICU （OR=8.207， 95%CI： 4.094‍ ‍—‍ ‍16.453， P<0.001）， comorbidity with gallbladder disease （OR=8.240， 95%CI： 3.605‍ ‍—‍ ‍18.832， P<0.001）， ALP （OR=1.012， 95%CI： 1.004‍ ‍—‍ ‍1.019， P=0.004）， GGT （OR=1.010， 95%CI： 1.005‍ ‍—‍ ‍1.015， P<0.001）， and PLT （OR=0.997， 95%CI： 0.994‍ ‍—‍ ‍0.999， P=0.020） were the influential factors for MRLI. The areas under the ROC curve of ALP， GGT， and PLT were 0.589， 0.637， and 0.595， respectively， and the AUC of them combined was 0.837. ConclusionMale sex， ICU admission， comorbidity with gallbladder disease， increased ALP， increased GGT， and decreased PLT were influencing factors for MRLI， and a combination of factors has a better predictive value for the occurrence of MRLI.

Objective:To investigate key genes and cellular communication involved in spinal cord injury (SCI) repair using transcriptome sequencing and single-cell sequencing analysis.Methods:Two transcriptome sequencing datasets related to SCI and one single-cell sequencing dataset were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in the two transcriptome sequencing datasets were analyzed using the limma package in R, followed by cross-analysis to identify common DEGs. Functional enrichment analysis of DEGs was performed using the DAVID database for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Hub genes in the protein-protein interaction (PPI) network were identified using the cytoHubba plugin in Cytoscape. Single-cell sequencing data were analyzed using the Seurat package in R. Principal Component Analysis (PCA) was applied for dimensionality reduction, and t-distributed Stochastic Neighbor Embedding (t-SNE) was used for visualization. Cellular communication between different cell groups was analyzed using the CellChat package.Results:Differential analysis of transcriptome sequencing data identified 98 common DEGs. GO and KEGG enrichment analysis highlighted biological processes such as wound healing, macrophage activation, and immune response-related cell activation. The PPI network predicted 10 hub genes: ITGAM, TGFB1, CCL2, ICAM1, CD44, FN1, TIMP1, TLR2, ITGB2, and LGALS3. Single-cell sequencing analysis identified six distinct cell populations, including astrocytes, neurons, and fibroblasts. Cellular communication analysis revealed key signaling pathways between cell subpopulations, including SPP1- (ITGAV+ITGB1), SPP1- (ITGA5+ITGB1), TNF-TNFRSF1A transmission pathway, etc.Conclusions:During SCI repair, astrocytes receive signals from fibroblasts, monocytes, and neurons via the SPP1 pathway, while astrocytes and neurons receive signals from monocytes through the TNF pathway. These findings provide critical insights into the molecular mechanisms underlying SCI repair and offer a foundation for future research.

Objective:To investigate key genes and cellular communication involved in spinal cord injury (SCI) repair using transcriptome sequencing and single-cell sequencing analysis.Methods:Two transcriptome sequencing datasets related to SCI and one single-cell sequencing dataset were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in the two transcriptome sequencing datasets were analyzed using the limma package in R, followed by cross-analysis to identify common DEGs. Functional enrichment analysis of DEGs was performed using the DAVID database for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Hub genes in the protein-protein interaction (PPI) network were identified using the cytoHubba plugin in Cytoscape. Single-cell sequencing data were analyzed using the Seurat package in R. Principal Component Analysis (PCA) was applied for dimensionality reduction, and t-distributed Stochastic Neighbor Embedding (t-SNE) was used for visualization. Cellular communication between different cell groups was analyzed using the CellChat package.Results:Differential analysis of transcriptome sequencing data identified 98 common DEGs. GO and KEGG enrichment analysis highlighted biological processes such as wound healing, macrophage activation, and immune response-related cell activation. The PPI network predicted 10 hub genes: ITGAM, TGFB1, CCL2, ICAM1, CD44, FN1, TIMP1, TLR2, ITGB2, and LGALS3. Single-cell sequencing analysis identified six distinct cell populations, including astrocytes, neurons, and fibroblasts. Cellular communication analysis revealed key signaling pathways between cell subpopulations, including SPP1- (ITGAV+ITGB1), SPP1- (ITGA5+ITGB1), TNF-TNFRSF1A transmission pathway, etc.Conclusions:During SCI repair, astrocytes receive signals from fibroblasts, monocytes, and neurons via the SPP1 pathway, while astrocytes and neurons receive signals from monocytes through the TNF pathway. These findings provide critical insights into the molecular mechanisms underlying SCI repair and offer a foundation for future research.

Objective To investigate the epidemiological characteristics and changing trend of malignant tumor death in Danjiangkou City, the water source area along the middle route of South-to-North Water Diversion Project. Methods The surveillance data of cancer death cases in Danjiangkou City from 2015 to 2022 were collected, and the mortality rate, gender mortality rate, age-specific mortality rate and the rank of cancer cause of death were calculated. Joinpoint regression model was used to analyze the trend of malignant tumor mortality and standardized mortality. Annual percentage change (APC) and average annual percentage change (AAPC) were calculated to analyze the trend changes. Results From 2015 to 2022, a total of 6 254 deaths from malignant tumors were reported in Danjiangkou City, with a crude mortality rate of 178.57/100 000 and a standardized mortality rate of 152.77/100 000. There were 4 366 male deaths, and the crude mortality and standardized mortality were 244.70/100 000 and 212.87/100 000 , respectively. There were 1 888 female deaths, and the crude mortality rate and the standardized mortality rate were 109.89/100 000 and 92.69/100 000, respectively. The crude death rate of malignant tumors in the whole population in Danjiangkou City showed an increasing trend from 2015 to 2022, and the difference was statistically significant (AAPC=5.18%, t=4.07, P<0.05). The crude mortality rates of malignant tumors in both men and women showed an upward trend, and the differences were statistically significant (AAPC =5.56% and 4.35%, both P<0.05). The standardized mortality rates of malignant tumors in the whole population, women and men remained stable, and the differences were not statistically significant (AAPC=0.68, 1.59 and -0.74, all P>0.05). The trend analysis of age-specific mortality of malignant tumors showed that the age-specific mortality of malignant tumors in the whole population, men and women showed an increasing trend with age, and the differences were statistically significant (AAPC =9.22%, 9.40% and 8.53%, P<0.05). The mortality rate of malignant tumors in 0-, 1-, 10-, 45- and 70- age groups decreased year by year (AAPC =-79.62%, -7.19%, -65.99%, -8.88%, and -5.83%, all P<0.05). The mortality rate in the age group of over 75 years old showed an increasing trend (AAPC =12.24%, P<0.05), and the differences were statistically significant. The top 10 malignant tumor deaths in the whole population were lung cancer, gastric cancer, liver cancer, esophageal cancer, colorectal cancer , leukemia , pancreatic cancer , breast cancer , brain malignant tumor and cervical cancer, accounting for 88.49% of all malignant tumor deaths. Mortality rates in lung cancer (AAPC =6.75%), esophageal cancer (AAPC=11.24%), colorectal cancer (AAPC =12.95%), leukemia (AAPC=8.10%), pancreatic cancer (AAPC=15.11%), breast cancer (AAPC=13.11%) and brain malignancies (AAPC=11.16%) showed an increasing trend, and the differences were statistical significant (P<0.05). Conclusion Malignant tumor is the main cause of death in Danjiangkou City. The death rate increases year by year and increases with age. Lung cancer, stomach cancer and liver cancer are the main causes of death. Men and the elderly are high-risk groups of malignant tumors. Early detection and treatment of malignant tumors should be strengthened to reduce the incidence and death.

Objective To establish an artificial intelligence (AI)-assisted platform for detection of parasite eggs, and to evaluate its detection efficiency and accuracy, so as to provide technical supports for elimination of parasitic diseases. Methods A total of 1 003 slides of Enterobius vermicularis, horkworm, Trichuris trichiura, Clonorchis sinensis, Taenia, Ascaris lumbricoides, Schistosoma japonicum, Paragonimus westermani and Fasciolopsis buski eggs were collected, and converted into digital images with an automatated scanning microscope to create a dataset. Based on the Object Detection platform on the Baidu Easy DL model, an AI-assisted platform for detection of parasite eggs was created through procedures of uploading, labeling, training, evaluation and optimization. Then, 70% of the datasets were randomly selected for model training, and the precision, recall and average accuracy were calculated to evaluate the effectiveness of platform for recognition of parasite eggs. In addition, the platform was deployed on the computer and smart phone terminals for use. Results An AI-assisted platform for detection of parasite eggs was successfully created. If the platform was deployed using the public cloud application programming interface (API), the average accuracy, precision and recall of the platform were 93.42%, 92.55% and 89.32% for recognition of parasite eggs. If the platform was deployed using the offline software development kit (SDK), the average accuracy, precision and recall of the platform were 92.97%, 94.78% and 87.63% for recognition of parasite eggs. In addition, the precision of the platform was 97.00% and 96.23% for identification of Taenia and C. sinensis eggs, respectively. Conclusions The AI-assisted platform for detection of parasite eggs has been successfully created, which is high in the accuracy for recognition of parasite eggs and convenient in use. This platform may provide a powerful technical support for parasitic disease diagnosis.

Objective:To investigate the clinical phenotype and genetic characteristics of developmental epileptic encephalopathy 18 (DEE18) caused by SZT2 gene variants. Methods:Clinical data of 2 children with SZT2 related DEE18 who visited the Department of Pediatric Neurology, Linyi People′s Hospital in March 2020 and July 2023 were collected. The whole exome sequencing (WES) and Sanger sequencing were applied to verify the child and their parents. SWISS-MODEL software was used to perform protein 3D modeling for the selected SZT2 gene variants. Results:Both of the 2 cases showed severe global developmental delay, epileptic seizures, autism, megacephaly, facial deformity, hypotonia, corpus callosum malformation, persistent cavum septum pellucidum, and slow background activity and focal discharge in video electroencephalography. Case 1 was easy to startle and thin in stature; case 2 had immune deficiency and clustered seizures. WES results showed that case 1 carried a compound heterozygous variant of c.5811G>A (p.W1937X) (paternal) and c.9269delG (p.S3090Ifs *94) (maternal), while case 2 carried a compound heterozygous variant of c.6302A>C(p.H2101P) (paternal) and c.7584dupA (p.E2529Rfs *20) (maternal), the parents of both patients with normal clinical phenotypes. The 4 mutations mentioned above were novel variations that had not yet been reported domestically or internationally. According to the American College of Medical Genetics and Genomics variant classification criteria and guidelines, the p.S3090Ifs *94 variant was interpreted as pathogenic; p.W1937X variant was interpreted as pathogenic; p.E2529Rfs *20 variant was interpreted as likely pathogenic; p.H2101P variant was interpreted as uncertain significance. 3D modeling showed that the variant of p.H2101P resulted in a significant change in the hydrogen bond around the 2 101st amino acid encoded, leading to a decrease in protein stability. The other 3 variants led to early truncation of peptide chain and obvious changes in protein structure. Conclusions:DEE18 caused by SZT2 gene mutation is mainly an autosome recessive genetic disease, and its clinical manifestations include global developmental delay, epileptic seizures, autism, craniofacial malformation, hypotonia, epileptic discharge, corpus callosum malformation, persistent cavum septum pellucidum, shock, small and thin stature, and immune deficiency. Four novel variants related to the SZT2 gene may be the genetic etiology of DEE18 patients in this study.

Objective:To analyze the clinical phenotypes and TSC1/TSC2 gene variations in 52 children with tuberous sclerosis complex. Methods:The clinical data of 59 children with tuberous sclerosis complex hospitalized in Linyi People′s Hospital between January 2017 and October 2022 were collected. The analysis of TSC1 and TSC2 gene variations on main family members was performed, and then bioinformatics analysis followed. The positive children were divided into TSC1 gene group and TSC2 gene group, and the difference of clinical characteristics between the two groups was analyzed. Results:Among 59 children, 52 cases were detected TSC1/ TSC2 gene variations (17 cases in the TSC1 gene group and 35 cases in the TSC2 gene group). Of the 52 children, 28 (53.8%) were male, 24 were female (46.2%); 17 (32.7%) were familial cases (10 with TSC1 gene variations and 7 with TSC2 gene variations), 35 (67.3%) were sporadic cases; 46 (88.5%) had hypomelanotic macules, 13 (25.0%) had facial angiofibromas, 5 (9.6%) had shagreen patches, 49 (94.2%) had subependymal nodules/calcifications, 47 (90.4%) had cortical nodules, 2 (3.8%) had subependymal giant cell astrocytomas, 39 (75.0%) had intellectual/developmental disabilities, 49 (94.2%) had epileptic seizures, 8 (15.4%) had cardiac rhabdomyomas, 9 (17.3%) had renal angiomyolipomas, and 4 (7.7%) had retinal hamartomas. Of the 52 children, 49 variations were detected, including 4 large fragment deletion/duplication variations, and 45 point variations; 41 pathogenic variations, 7 likely pathogenic variations, and 1 variation of uncertain significance. In this study, 16 point mutations and 1 large fragment duplication mutation which had not been reported at home and abroad, and 3 high-frequency mutation sites (p.Arg692 *, p.Arg228 *, and p.Arg1200Try) were found. There was a statistically significant difference in the proportion of familial cases [10/17 vs 7/35(20%), χ2=7.838, P=0.005], median onset age of epilepsy [38.0(0.5-134.0) months vs 8.0(0.1-63.0) months, Z=3.506 , P<0.001] and the incidence of developmental retardation/intellectual impairment [8/17 vs 31/35(88.6%), χadj2=8.423, P=0.004] between the TSC1 gene and TSC2 gene groups. Conclusions:Tuberous sclerosis compiex has widespread phenotypes, can affect every body system, especially the skin and nervous system. The pathogenic gene is TSC1/ TSC2. The TSC1 gene group has more familial cases. The TSC2 gene group has an earlier onset age of epilepsy and a higher incidence of developmental retardation/intellectual impairment. In this study, 16 novel point mutations, 1 novel large fragment duplication mutation, and 3 hotspot mutations were identified, expanding the gene variation spectrum of tuberous sclerosis complex.