Objectives: . The prognostic value of the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in head and neck cancer (HNC) remains uncertain. This meta-analysis aimed to evaluate the predictive role of AAPR for survival outcomes in patients with HNC. Methods: . A comprehensive search of the Cochrane Library, PubMed, and Embase databases was conducted to identify relevant studies published up to July 30, 2024. We included studies on AAPR and survival outcomes in HNC patients. Results: . Eight studies comprising 1,737 HNC patients were analyzed using random-effects models. Lower AAPR values were significantly correlated with worse overall survival (hazard ratio [HR], 2.08), progression-free survival (HR, 2.00), and disease-free survival (HR, 2.18). Sensitivity analyses confirmed the robustness of these results, with no significant publication bias detected. Conclusion . Our findings suggest that pretreatment AAPR could serve as a valuable and cost-effective prognostic indicator in HNC, potentially aiding clinicians in risk stratification and treatment decision-making. However, additional validation studies are warranted to confirm its clinical applicability.

Objective Exploring genetic differences among geographic strains of Anopheles sinensis in China. Methods Based on the mitochondrial cytochrome oxidase subunit I(COⅠ )and ribosomal the second internal transcribed spacer(ITS2), genetic distance analyses were conducted on An. sinensis samples collected nationwide. Results Genetic differentiation was observed within An. sinensis geographic strains, primarily reflected in the genetic distances of COⅠ sequences, with some distances between samples exceeding those between closely related species. However, ITS2 sequences showed relatively low levels of differentiation within geographic strains. No significant separation was observed, and gene exchange exhibited a random pattern among geographic strains. Conclusions Significant differences in genetic distance were observed among An. sinensis samples, along with evidence of interspecific continuity among sibling species. For the identification of closely related species using wild-collected Anopheles mosquitoes samples, reliance solely on commonly used barcodes such as COⅠ and ITS2 may be insufficient. Additional molecular markers, including COⅡ and D3 gene fragments, should also be considered. Caution should be exercised when using COⅠ genes to identify cryptic species, especially within Anopheles mosquitoes.

ObjectiveTo investigate the impact of Buzhong Yiqitang combined with cisplatin on the proliferation of human lung adenocarcinoma （A549） cells through regulation of the pyruvate dehydrogenase kinase 1 （PDK1）/protein kinase B （Akt） signaling pathway and influence on glycolysis. MethodsTranscriptome sequencing （RNA-seq） was employed to compare the expression of glycolysis-related genes between A549 cells and cisplatin-resistant human lung adenocarcinoma cells （A549/DDP）. Small interfering RNA （siRNA） was employed to knock down PDK1， and the knockdown efficiency was verified by Western blot and Read-time PCR. The cell counting kit-8 （CCK-8） assay was used to assess the survival and viability of A549 cells under the following conditions： siRNA negative control+cisplatin （128， 64， 32， 16， 8， 4， 0 μmol·L^-1）， siPDK1+cisplatin （128， 64， 32， 16， 8， 4， 0 μmol·L^-1）， and siPDK1+cisplatin （128， 64， 32， 16， 8， 4， 0 μmol·L^-1）+Buzhong Yiqitang （10%）-containing serum. The 20% inhibitory concentration （IC₂₀） of the siRNA negative control+cisplatin group （7.832 μmol·L^-1） was calculated and used as the subsequent cisplatin concentration. Colony formation assay was performed to evaluate the proliferation of A549 cells. Lactate and adenosine triphosphate （ATP） assay kits were used to measure lactate and ATP production. The mitochondrial membrane potential was detected with the fluorescent probe JC-1. Western blotting was conducted to examine the expression levels of PDK1， phosphorylated （p）-Akt， Akt， pyruvate kinase M2 （PKM2）， glucose transporter 1 （GLUT1）， pyruvate dehydrogenase （PDH）， and lactate dehydrogenase A （LDHA）. Confocal immunofluorescence was employed to detect PDK1 and p-Akt. ResultsRNA-seq results identified PDK1 as a highly expressed differential gene in glycolysis metabolism between A549 cells and A549/DDP cells， and it was highly expressed in tumor cells. Gene Set Enrichment Analysis （GSEA） revealed upregulated and downregulated genes in glycolysis and gluconeogenesis pathways. Western blot and RT-qPCR confirmed that PDK1-si-2 had the highest transfection efficiency， with a PDK1 knockdown rate exceeding 60%. CCK-8 assay determined the half-maximal inhibitory concentration （IC₅₀） values for each group as （30.698±5.348）， （16.372±3.562）， （13.237±1.573） μmol·L^-1， while the IC₂₀ of cisplatin in siRNA negative control-transfected A549 cells was （7.832±0.672） μmol·L^-1. Compared with the siRNA negative control group， the siRNA negative control+cisplatin group showed decreased colony formation rate， reduced lactate production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， GLUT1， PDK1， PDH， and LDHA， and reduced PDK1 fluorescence intensity （P<0.05）. The siPDK1 group exhibited decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， PKM2， GLUT1， PDK1， PDH， and LDHA， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. Compared with the siPDK1 group， the siPDK1+Buzhong Yiqitang group showed decreased colony formation rate， reduced lactate production， downregulated protein levels of PKM2， GLUT1， and PDK1， and reduced PDK1 fluorescence intensity （P<0.05）. The siPDK1+cisplatin group exhibited decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of PKM2， GLUT1， PDK1， and PDH， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. The siPDK1+cisplatin+Buzhong Yiqitang group demonstrated decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， PKM2， GLUT1， PDK1， PDH， and LDHA， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. Compared with the siPDK1+Buzhong Yiqitang group， the siPDK1+cisplatin group showed decreased colony formation rate， downregulated protein levels of p-Akt and PDH， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. The siPDK1+cisplatin+Buzhong Yiqitang group exhibited decreased colony formation rate， reduced lactate production， increased ATP production， lowered mitochondrial membrane potential， downregulated protein levels of p-Akt， GLUT1， PDH， and LDHA， and reduced PDK1 and p-Akt fluorescence intensity （P<0.05）. Compared with the siPDK1+cisplatin group， the siPDK1+cisplatin+Buzhong Yiqitang group showed decreased colony formation rate， increased ATP production， and downregulated protein levels of p-Akt， PKM2， and LDHA （P<0.05）. ConclusionBuzhong Yiqitang combined with cisplatin can suppress lung adenocarcinoma cell proliferation by modulating glycolysis through the PDK1/Akt signaling pathway.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Traditional Chinese medicine (TCM) has historically played a pivotal role in the prevention and treatment of warm diseases, establishing a comprehensive theoretical framework that underpins its practices. The distinctive and indispensable contributions of aromatic Chinese herbs in dispelling harmful influences and mitigating the spread of these diseases are well recognized; however, further investigation is warranted to elucidate their systematic properties and regularities, and the theory of aromatic Chinese herbs in preventing and treating warm diseases still needs to be comprehensively summarized. This study employs the principles rooted in TCM, with particular emphasis on the framework for warm diseases. An analysis of the disease mechanisms, transmission dynamics, and preventive strategies is conducted during the early stage of infection, throughout the course of the disease, and in the post-illness phase. Furthermore, the characteristics and applications of aromatic Chinese herbs are integrated with insights drawn from modern pharmacological research to explore their specific roles in the prevention and management of warm diseases. The utilization of aromatic Chinese herbs manifests in a variety of therapeutic effects: aromatic medicinals purging filth and dispelling pathogens for preventing epidemic disease, aromatic medicinals regulation for relieving superficies syndrome and dispersing evils, aromatic medicinals ventilation the lung to relieve cough and asthma, aromatic medicinals resolving the dampness to awaken the spleen and stomach, aromatic medicinals opening the orifices to restore consciousness, aromatic and pungent medicinals to regulate qi, aromatic medicinals dredging the vessels to activate blood circulation and dissipate blood stasis, and aromatic medicinals clearing latent heat from the yin level. These properties facilitate tailored approaches to address the diverse manifestations of warm diseases and their associated symptoms, providing clear guidance for clinical application to achieve pre-disease prevention, active disease treatment, complication prevention, and post-recovery relapse avoidance. The use of aromatic Chinese herbs in preventing and treating warm diseases demonstrates theoretical, practical, systematic, and regular characteristics. The theory of the properties of aromatic Chinese herbs has been expanded and sublimated in clinical practice, and its scientific connotation has been expounded in modern research. Under the guidance of the theory of treatment based on syndrome differentiation, and by taking into account the distinct stages and pathologies of warm diseases, the rational selection of aromatic Chinese herbs can improve the clinical efficacy.

Objective: To investigate the association between expression levels of potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene and gout, so as to provide the basis for diagnosis, prevention and treatment of gout. Methods: A total of 179 patients diagnosed with gout at the outpatient department of Guangdong Second Provincial General Hospital were enrolled in the case group, while 179 healthy individuals matched by age (within 5 years) were selected as the control group. Demographic information, lifestyle, dietary intake and biochemical blood indicators were collected through questionnaires and laboratory tests. The relative expression levels of KCNQ1 gene mRNA were quantified using real-time fluorescence quantitative PCR. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic performance of KCNQ1 gene mRNA levels in distinguishing gout. The association between the relative expression level of KCNQ1 gene mRNA and gout, the interaction effects of the relative expression levels of KCNQ1 gene mRNA with dietary intake and biochemical blood indicators on gout were analyzed using a multivariate conditional logistic regression model. Results: There were 112 males (62.57%) and 67 females (37.43%) in the case group, with a mean age of (41.32±10.12) years. There were 98 males (54.75%) and 81 females (45.25%) in the control group, with a mean age of (40.24±7.62) years. The mRNA expression levels of the KCNQ1 gene were higher in the case group compared to the control group (P<0.05). The area under the ROC curve was 0.897 (95%CI: 0.865-0.928). Multivariate conditional logistic regression analysis revealed that KCNQ1 gene mRNA expression levels were positively associated with gout risk (OR=1.430, 95%CI: 1.171-1.747). Significant interactions were observed between KCNQ1 mRNA expression and seafood intake (OR=2.107, 95%CI: 1.175-3.779), KCNQ1 gene mRNA expression and uric acid levels (OR=2.373, 95%CI: 1.366-4.119), as well as between uric acid levels and seafood intake (OR=2.321, 95%CI: 1.159-4.678). Conclusion The expression levels of the KCNQ1 gene may increase the risk of gout and further increase the risk through interaction with seafood intake and uric acid levels.

Objective To investigate the role of the neutrophil-to-lymphocyte ratio(NLR)in predicting the in-hospital mortality risk of patients with acute aortic dissection(AAD)in multicenter hospitals.Methods A multicenter retrospective cohort study was conducted.Clinical data were collected from 2642 AAD patients who were hospitalized in five teaching hospitals:Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology,Henan Provincial People's Hospital,Fuwai Central China Cardiovascular Hospital,the Third Affiliated Hospital of Xinxiang Medical University,and the Second Affiliated Hospital of Chongqing Medical University between August 2010 and December 2021.According to the quartiles of serum NLRlevels,the patients were divided into four groups:first quartile(Q1,n=660),second quartile(Q2,n=661),third quartile(Q3,n=661),and fourth quartile(Q4,n=660).The clinical characteristics and biochemical indicators of each group were compared.Partial correlation analysis was used to assess the relationship between NLR and cardiovascular parameters.Restricted cubic splines,Kaplan-Meier survival analysis,and Cox regression models were employed to evaluate the association between NLR levels and in-hospital mortality risk in AAD patients.Results The median age of all patients was 54[interquartile range(IQR):46-63]years,including 2096 males and 546 females.Compared with Q1-Q3 groups,patients inQ4group had a lower incidence of smoking history and diabetes history,and were more likely to have DeBakey type Ⅰ AAD(P＜0.05).Additionally,the levels of aspartate aminotransferase,high-density lipoprotein cholesterol,creatinine,and D-dimer in Q4 group were higher,while the levels of triglycerides and C-reactive protein(CRP)were lower(P＜0.01).The results of partial correlation analysis showed that the plasma NLR level was positively correlated with D-dimer(r=0.43,P＜0.01)and creatinine(r=0.16,P＜0.01).The restricted cubic spline function in the Cox model revealed a significant non-linear relationship between the plasma NLR level and clinical outcomes in AAD patients(P＜0.01).Kaplan-Meier survival analysis indicated that patients in Q4 group had the highest in-hospital mortality rate compared with Q1-Q3 groups(P＜0.0001).Furthermore,multivariate Cox regression analysis demonstrated that compared with Q1 group,the hazard ratio(HR)of NLR in Q4 group was 1.77(95％CI 1.33-2.37,P＜0.001),which was an independent risk factor for the primary endpoint events.Conclusion A higher plasma NLR level is significantly associated with the occurrence of cardiovascular events in AAD patients,and this association remains significant even after adjusting for potential confounding factors such as the multicenter visiting hospitals.

Objective To investigate plasma protein expression changes in heatstroke patients using proteomics technology and to identify reliable prognostic biomarkers.Methods A retrospective analysis was conducted on 20 heatstroke patients hospitalized at the 908th Hospital of the Chinese PLA Joint Logistics Support Force from July 2022 to February 2024.Patients were divided into survival(n=16)and death groups(n=4)based on 28-day outcomes.Fasting venous blood samples were collected from both groups for proteomic analysis.Liquid chromatography-mass spectrometry(LC-MS/MS)was used to identify and screen differentially expressed proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed.LASSO regression was applied to screen key prognostic biomarkers,and receiver operating characteristic(ROC)curve analysis was used to evaluate their predictive value.Results A total of 27 upregulated and 90 downregulated proteins were identified between the two groups.These proteins were primarily involved in biological processes such as immune responses,complement activation,and metabolic processes.LASSO regression analysis indicated that actin-related protein 2(ARP2),cysteine-rich scavenger receptor type 1 M130(CD163),and catalase(CAT)could serve as effective biomarkers for evaluating heatstroke prognosis.ROC curve analysis demonstrated that ARP2 had higher diagnostic efficacy(AUC=0.98,sensitivity=0.80,specificity=1.00)compared to CD163(AUC=0.94,sensitivity=0.76,specificity=1.00),CAT(AUC=0.96,sensitivity=0.67,specificity=1.00),and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(AUC=0.79,sensitivity=0.44,specificity=1.00).Conclusion Elevated plasma ARP2 level has good clinical value for predicting poor prognosis in heatstroke patients.

Objective To construct a predictive model for high-grade pathological components of early invasive lung adenocarcinoma(ILAC)based on radiomics.Methods Collecting information on total 495 patients who underwent radical operation and were pathologically diagnosed as stage Ⅰ in the cardiothoracic surgery of Zhoushan Hospital from January 2015 to December 2019,including gender,age,pathological findings,tumor markers and preoperative chest CT images.The micropapillary and solid components in postoperative pathology were defined as"high-grade pathological components",while those without high-grade pathological components were classified into the low-grade group and those with high-grade pathological components were classified into the high-grade group.And patients were randomly divided into the training set(343 cases)and the validation set(152 cases)with a ratio of 7∶3 using the simple randomization grouping method.The region of interest of nodules on CT images were delineated layer by layer by scientific research platform and 1950 radiomics features were extracted.And then those features were filtrated by F-test,Pearson correlation coefficient,and L1 based feature selection.A model was built by using Logistic regression machine learning classifier,named mod 2,and radscore was also obtained.Differences between general information and CT features were analyzed.Binary Logistic regression analysis was used to construct a model for statistically significant variables,named mod 1.At the same time,Radscore was added to build the mod and named comb mod.The area under the curve(AUC),sensitivity and specificity of the three models were calculated.A nomogram was also drawn.Results A total of 495 patients were divided into the training set(n=343)and the validation set(n=152).Gender,carcinoma embryonic antigen(CEA),nodule,and maximum diameter were screened out in clinical features and involved in constructing the mod 1.Twelve features were selected from the radiomics features to build mod 2.Comb mod performed best,training set AUC:0.887,validation set AUC:0.875,and had good clinical practicability.Conclusion The model composed of general feature,CT feature and radiomics features could accurately predict high-grade pathological components in early ILAC,and provide references for clinicians to choose surgical method for patients.