After the wooden shipwreck was recovered from the marine underwater environment,the wooden components undergo varying degrees of degradation,therefore,accurately determining the extent of degradation is a fundamental scientific issue for implementing effective preservation strategies.In this work,the wooden remains of Pinus massoniana excavated from the"Nanhai No.1"shipwreck(Southern Song Dynasty)were investigated and compared with the modern wood to discriminate the degradation levels of archaeological wood using attenuated total reflection Fourier transform infrared(ATR-FTIR)spectroscopy.The residual sugar content within wood cell walls was determined using a non-invasive automated microscale ATR-FTIR method to extract chemical information from the wood tangential section.Microstructural characterization of wood samples was conducted by super depth of field microscopy and scanning electron microscopy.FTIR spectral analysis was performed to evaluate the degradation state and elucidate changes in cellulose crystallinity.Finally,the combination of FTIR spectroscopy with the sparse partial least squares discriminant analysis(sPLS-DA)model facilitated the rapid discrimination of degradation levels in shipwreck archaeological wood,and the performance of the model was evaluated using receiver operating characteristic(ROC)curves and area under the curve(AUC).The results showed that the higher the degree of wood degradation,the lower the residual sugar content in the wood cell wall,and the residual glucose content of highly degraded wood was only 4.7％.Significant differences were observed in both the tangential section microstructure and FTIR characteristic absorption patterns across degradation levels,and as the degradation advanced,progressive cell wall loosening occurred alongside selective removal of polysaccharide components,and the relative lignin content was increased,resulting in an elevated A1509/A1370 ratio in FTIR spectra.The sPLS-DA model achieved excellent discrimination performance with AUC values exceeding 0.9,confirming that the combination of FTIR spectroscopy with sPLS-DA enabled accurate assessment of degradation levels in shipwreck archaeological wood.This study developed a rapid and accurate methodology for assessing degradation levels in shipwreck archaeological wood based on microscale ATR-FTIR spectroscopy,which would help to promote the accurate assessment of the preservation state of waterlogged wooden artifacts.

Objective To investigate the expression levels of peroxisome proliferator-activated receptor gamma coactivator-1β(PGC-1β),hypoxia-inducible factor-1α(HIF-1α),and resistin(RETN)in gouty arthri-tis(GA),and analyze their correlation with the degree of joint damage.Methods A total of 134 patients with GA in the hospital from January 2022 to October 2023 were selected as GA group,and 134 healthy people who underwent the physical examination in the same period were selected as control group.The serum expression levels of PGC-1β,HIF-1α and Retn were compared between the two groups.The expression levels of PGC-1β,HIF-1α and Retn in serum and synovial fluid of patients with different clinical characteristics in GA group were compared,the degree of joint destruction was graded according to the subjective pain grading method(VAS)and the patients were divided into a severe GA subgroup of 78 cases and a mild GA subgroup of 56 ca-ses.The expression levels of PGC-1β,HIF-1α,RETN,bone destruction factors[β-cross linked degradation products(β-CTX),tartrate resistant acid phosphatase-5b(TRACP5b),receptor activator of nuclear factor kappa B ligand(RANKL)]and inflammatory factors[tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β)]were compared among different degrees of joint destruction,and the correlation between serum and syno-vial fluid PGC-1β,HIF-1α,RETN and the degree of joint destruction,bone destruction factors,and inflamma-tory factors was analyzed.Results The expression level of PGC-1β in serum of GA group was lower than that of the control group,while the expression levels of HIF-1α and RETN in serum were higher than those of the control group(P＜0.05).There were statistically significant differences in serum and synovial fluid PGC-1β,HIF-1α,and RETN levels among GA patients with different clinical stages,affected joints,disease duration,and annual seizure frequency(P＜0.05).The expression levels of PGC-1β in the serum and synovial fluid of the severe GA subgroup were lower than those of the mild GA subgroup(P＜0.05),while the expression lev-els of HIF-1α and RETN were higher than those of the mild GA subgroup(P＜0.05).The expression levels ofβ-CTX and TRACP5b in the severe GA subgroup were higher than those in the mild GA subgroup(P＜0.05),while the expression level of RANKL was lower than that in the mild GA subgroup(P＜0.05).PGC-1βin serum and synovial fluid was negatively correlated with the degree of joint destruction,β-CTX,TRACP5b,TNF-α,and IL-1β,and positively correlated with RANKL.HIF-1α and RETN were positively correlated with the degree of joint destruction,β-CTX,TRACP5b,TNF-α,and IL-1β,and negatively correlated with RANKL.Conclusion PGC-1β,HIF-1α,and RETN are abnormally expressed in patients with GA,and are closely associ-ated with the degree of joint destruction,bone destruction factors,and inflammatory factors.They are expec-ted to become reliable indicators for evaluating the occurrence and progression of GA.

To clarify the occurrence and distribution of broad bean wilt virus 2(BBWV2) on Rehmannia glutinosa, this study collected 87 R. glutinosa samples with typical symptoms of viral disease such as chlorosis and crumple from Wenxian county and Wuzhi county in Jiaozuo city, Henan province and Qiaocheng district in Bozhou city, Anhui province. The BBWV2 CP target band was amplified from 37 R. glutinosa samples by RT-PCR technology. The total detection rate reached 42.5%, among which 43.0% was detected in samples from Henan province. The detection rate in samples from Anhui province was 37.5%. 37 BBWV2 CP sequences were obtained by cloning and sequencing of BBWV2 positive samples(data has been submitted to GenBank, accession numbers: PP407959-PP407995), and the sequence analysis of these CP sequences with 91 other BBWV2 isolates in GenBank showed a high genetic diversity with a consistency rate of 70.8%-100%. Meanwhile, phylogenetic analysis showed that BBWV2 could be divided into three groups according to CP sequences, among which the BBWV2 in R. glutinosa isolates obtained in this study were all located in group 3. This study identified the differences in the occurrence, distribution, and genetic diversity of BBWV2 in R. glutinosa from Henan province and Anhui province and provided a theoretical basis for the prevention and control of BBWV2.
Rehmannia/virology* ; Phylogeny ; Plant Diseases/virology* ; China ; Molecular Sequence Data ; Fabavirus/classification*

Hepatic fibrosis(HF)is an inevitable process for many chronic liver diseases to develop into liver cirrhosis and even liver cancer.More than 80%of hepatocellular carcinomas are formed after the process of chronic hepatitis,HF or liver cirrhosis.The immune microenvironment produced by inflammation and fi-brosis plays a significant role in promoting the occurrence and development of hepatocellular carcinoma.He-patic stellate cells(HSC),extracellular matrix(ECM),and fibroblasts are involved in the progression of HF by influencing innate immunity and adaptive immunity.This article,by analyzing the role of immune cells in HF,is expected to provide new intervention approaches and therapeutic targets for the clinical treatment of HF,thereby further enhancing the effectiveness of immunotherapy and offering safer and more effective treat-ment options for HF patients.

In recent years, the study of single-cell transcriptome sequencing technology in the heterogeneity of astrocytes (astrocytes) after spinal cord injury (SCI) has provided new perspectives on post-traumatic nerve regeneration and repair. To provide a review on the research progress of single-cell sequencing technology in astrocytes after spinal cord injury (SCI), and to more comprehensively and deeply elaborate the application of single-cell sequencing technology in the field of astrocytes after SCI. Single-cell sequencing technology can analyse the transcriptomes of individual cells in a high-throughput manner, thus revealing fine differences in cell types and states. By using single-cell sequencing technology, the heterogeneity of astrocytes after SCI and their association with nerve regeneration and repair were revealed. In conclusion, the application of single-cell sequencing technology provides an important tool to reveal the heterogeneity of astrocytes after SCI, to further explore the mechanisms of astrocytes in SCI, and to develop intervention strategies targeting their regulatory mechanisms in order to improve the therapeutic efficacy of SCI. The discovery of changes in astrocyte transcriptome dynamics has improved researchers' understanding of spinal cord injury lesion progression and provided new insights into the treatment of spinal cord injury at different time points. To date, all of these findings need to be validated by more basic research and sufficient clinical trials. In the future, single-cell sequencing technology, through interdisciplinary collaboration with bioinformatics, computer science, tissue engineering, and clinical medicine, is expected to open a new window for the treatment of spinal cord injury.
Spinal Cord Injuries/metabolism* ; Astrocytes/cytology* ; Single-Cell Analysis/methods* ; Humans ; Animals ; Transcriptome ; Nerve Regeneration

Acute kidney injury (AKI) has high morbidity and mortality, but effective clinical drugs and management are lacking. Previous studies have suggested that macrophages play a crucial role in the inflammatory response to AKI and may serve as potential therapeutic targets. Emerging evidence has highlighted the importance of forkhead box protein O1 (FoxO1) in mediating macrophage activation and polarization in various diseases, but the specific mechanisms by which FoxO1 regulates macrophages during AKI remain unclear. The present study aimed to investigate the role of FoxO1 in macrophages in the pathogenesis of AKI. We observed a significant upregulation of FoxO1 in kidney macrophages following ischemia-reperfusion (I/R) injury. Additionally, our findings demonstrated that the administration of FoxO1 inhibitor AS1842856-encapsulated liposome (AS-Lipo), mainly acting on macrophages, effectively mitigated renal injury induced by I/R injury in mice. By generating myeloid-specific FoxO1-knockout mice, we further observed that the deficiency of FoxO1 in myeloid cells protected against I/R injury-induced AKI. Furthermore, our study provided evidence of FoxO1's pivotal role in macrophage chemotaxis, inflammation, and migration. Moreover, the impact of FoxO1 on the regulation of macrophage migration was mediated through RhoA guanine nucleotide exchange factor 1 (ARHGEF1), indicating that ARHGEF1 may serve as a potential intermediary between FoxO1 and the activity of the RhoA pathway. Consequently, our findings propose that FoxO1 plays a crucial role as a mediator and biomarker in the context of AKI. Targeting macrophage FoxO1 pharmacologically could potentially offer a promising therapeutic approach for AKI.

Intraoperative neural monitoring (IONM) combines electrophysiology with anatomy to monitor nerve function during thyroid surgery,and has become an important auxiliary technology for neuroprotection. After more than ten years of development,the technology has been widely applied and popularized in China,promoting the development of a number of new technologies in the industry. Combined with the questionnaire survey data of the Chinese Neural Monitoring Study Group,this paper aims to summarize the clinical effect of IONM technology, the application status and existing problems at home and abroad, and propose the possible future development direction.

Objective To analyze the clinical characteristics of renal cell carcinoma patients with extracapsular segmental vein tumor thrombus during partial nephrectomy and to explore the clinical significance,thereby contributing to an advanced comprehension of the pathogenesis of cancer thrombus in renal cell carcinoma.Methods A retrospective analysis was conducted on the clinical data of 209 renal cell carcinoma patients(162 with T1a stage,47 with T1b stage)who underwent partial nephrectomy in our hospital during Sep.2023 and Jul.2025.Among them,8 patients with extracapsular segmental vein tumor thrombus were identified,and the clinical and pathological characteristics were analyzed.Results Among the 8 cases of extracapsular segmental vein tumor thrombus,1 was in T1a stage and 7 were in T1b stage.Preoperativc CT revealed roundish,solid renal masses with heterogeneous density on non-contrast scans,significant enhancement on contrast-enhanced scans,and markedly weaker enhancement in the renal parenchymal phase compared to normal renal tissue.The average tumor diameter was(4.9±0.2)cm,with clear boundaries and no evidence of vascular invasion.Postoperative pathology confirmed clear cell carcinoma in all cases,with International Society of Urological Pathology(ISUP)grades ranging from Ⅰ to Ⅳ,and all surgical margins were negative.After surgery,5 patients received adjuvant immunotherapy.In a median follow-up of 10.3(3.8-22.8)months,no tumor recurrence or metastasis was observed.Conclusion Renal cell carcinoma has a high propensity of vascular invasion,and even clinically staged T1 tumors may develop extracapsular segmental vein tumor thrombus.This finding is significant for clinical prognosis.

Objective:To explore the potential categories of symptom characteristics of early breast cancer patients undergoing postoperative chemotherapy, analyze the differences of symptoms among different categories of patients, and compare their quality of life according to different categories.Methods:This was a cross-sectional study. From January to June 2023, 240 patients with early breast cancer who received chemotherapy after surgery in General Hospital of Ningxia Medical University were selected by convenience sampling. They were investigated by general information questionnaire, Memory Symptom Assessment Scale, and Functional Assessment of Caner Therapy-Breast Cancer. Mplus 8.3 was used to carry out potential profile analysis and identify the potential categories of symptom characteristics of early breast cancer patients undergoing postoperative chemotherapy. Binary Logistic regression analysis was used to determine the influencing factors of symptom characteristics. SPSS 26.0 software was used to compare the differences in quality of life scores of patients undergoing postoperative chemotherapy for different categories of early breast cancer.Results:Totally 233 valid questionnaires were ultimately collected, with an age of 50.85 ± 8.09. There were two potential categories of postoperative chemotherapy patients with early breast cancer: low symptom troubled group (159 cases, 68.2%) and high symptom troubled group (74 cases, 31.8%). The quality of life score of the high symptom distress group was (76.84 ± 13.15) points, which was significantly lower than (89.56 ± 11.29) points of the low symptom distress group, and the difference was statistically significant ( t=7.18, P<0.01). Logistic regression analysis showed that patients with early breast cancer who had financial burden after postoperative chemotherapy were more likely to belong to the group with high symptoms [ OR (95% CI) was 3.028 (1.434-6.394), P<0.01]. Postoperative chemotherapy patients with early breast cancer who had satisfactory sleep at night are more likely to belong to the group with low symptoms [ OR(95% CI) was 0.446 (0.217-0.920), P<0.05]. Conclusions:There is population heterogeneity in the symptom characteristics of patients with early breast cancer undergoing postoperative chemotherapy. and economic burden and night sleep are the influencing factors of symptom distress categories of breast cancer patients. It is suggested that medical staff should give individualized and targeted intervention measures centered on patients′ needs according to different types of population characteristics, so as to reduce the symptom burden and improve their quality of life.

Objective:To investigate the relationship between the neutrophil- to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), C-reactive protein (CRP), and the efficacy of immunotherapy in patients with advanced non-small cell lung cancer (NSCLC).Methods:The clinical data of 47 patients with NSCLC who received immunotherapy at The First Affiliated Hospital of Anhui University of Science and Technology from December 2021 to May 2023 were retrospectively analyzed. Based on the duration of immunotherapy, patients with a duration of more than 1 year were classified as having a good immune response, while those with a duration of less than 1 year were classified as having a poor immune response. The clinical pathological characteristics of patients with good and poor immune responses were compared. The cutoff values for NLR, LMR, and CRP were calculated using receiver operating characteristic curves, and patients were grouped based on these cutoff values. The predictive probabilities of different combinations were compared. Univariate and multivariate Cox analyses were performed to identify factors affecting patient survival.Results:Significant differences were observed in the distribution of therapy lines (1 st-line vs. 2 nd-line treatment), NLR, LMR, and CRP levels between patients with good immune response and those with poor immune responses (all P < 0.05). The area under the curve (AUC) for NLR was 0.763 [95% CI: (0.608, 0.918)], the AUC for LMR was 0.715 [95% CI: (0.544, 0.875)], and the AUC for CRP was 0.697 [95% CI: (0.540, 0.853)]. To assess the diagnostic value of combined indicators in predicting the efficacy of immunotherapy in NSCLC, different indicators were combined, resulting in the variables NLR + LMR, NLR + CRP, LMR + CRP, and NLR + LMR + CRP. Receiver Operating Characteristic curves were plotted based on the probabilities. The combination of NLR + LMR + CRP showed the best predictive performance, with an AUC of 0.897 [95% CI: (0.806, 0.988)]. Univariate and multivariate Cox analyses indicated that LMR [ HR: 0.428; 95% CI: (0.213, 0.858), P = 0.017] and the distribution of treatment lines [ HR: 1.815; 95% CI: (1.005, 3.642), P = 0.033] were important independent prognostic factors for progression-free survival. Conclusions:NLR, LMR, and CRP are correlated with immunotherapy efficacy in patients with NSCLC and provide predictive value. LMR and treatment line are independent prognostic factors for progression-free survival.