Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

Buyang Huanwu Decoction(BYHWD), as one of the classic formulas in traditional Chinese medicine(TCM) for the treatment of cerebral ischemic stroke(CIS), has demonstrated definite effects in clinical practice. However, the material basis and mechanism of treatment have not been systematically elucidated. This study employed network pharmacology and molecular docking to analyze the potential targets and mechanisms of blood-and brain-penetrating active components of BYHWD in reducing cell apoptosis in CIS. Cell experiments were then carried out to validate the prediction results. In the experiments, five active components including hydroxysafflor yellow A( HSYA), tetramethylpyrazine( TMP), astragaloside Ⅳ( AS-Ⅳ), amygdalin( AMY), and paeoniflorin(PF) were selected to explore the pharmacological effects of BYHWD. HT22 cells were treated with BYHWD, and the cell counting kit-8(CCK-8) method was employed to examine the toxic and side effects of BYHWD. A cell model of oxygen-glucose deprivation/reoxygenation( OGD/R) was constructed, with apoptosis and pyroptosis as the main screening indicators. The levels of lactate dehydrogenase(LDH) and glutathione(GSH) were measured to assess the cell membrane integrity. Flow cytometry was employed to detect apoptosis, and the activities of caspase-3 and caspase-1 were measured to clarify the status of apoptosis and pyroptosis. ELISA was employed to determine the levels of interleukin(IL)-1β and IL-18 to confirm pyroptosis. HSYA and AMY were identified in this study as the active components regulating apoptosis and pyroptosis. TUNEL was employed to detect the apoptosis rate, and Western blot was employed to determine the expression levels of apoptosis-related proteins B-cell lymphoma-2(Bcl-2), Bcl-2-associated X protein(Bax), and caspase-3, which confirmed that the anti-apoptotic effect of the combined component group was superior to that of the single component groups. The molecular docking results revealed strong binding affinity of HSYA and AMY with SDF-1α and CXCR4.AMD3100, a selective antagonist of CXCR4, was then used for intervention. The results of Western blot showed alterations in the expression levels of apoptosis-associated proteins, SDF-1α, and CXCR4. In conclusion, HSYA and AMY influence cellular apoptosis by modulating the SDF-1α/CXCR4 signaling cascade.
Drugs, Chinese Herbal/chemistry* ; Apoptosis/drug effects* ; Animals ; Neurons/cytology* ; Mice ; Molecular Docking Simulation ; Cell Line ; Glucose/metabolism* ; Humans ; Neuroprotective Agents/pharmacology*

Recent data suggest that vascular endothelial growth factor receptor inhibitor (VEGFRi) can enhance the anti-tumor activity of the anti-programmed cell death-1 (anti-PD-1) antibody in colorectal cancer (CRC) with microsatellite stability (MSS). However, the comparison between this combination and standard third-line VEGFRi treatment is not performed, and reliable biomarkers are still lacking. We retrospectively enrolled MSS CRC patients receiving anti-PD-1 antibody plus VEGFRi (combination group, n=54) or VEGFRi alone (VEGFRi group, n=32), and their efficacy and safety were evaluated. We additionally examined the immune characteristics of the MSS CRC tumor microenvironment (TME) through single-cell and spatial transcriptomic data, and an MSS CRC immune cell-related signature (MCICRS) that can be used to predict the clinical outcomes of MSS CRC patients receiving immunotherapy was developed and validated in our in-house cohort. Compared with VEGFRi alone, the combination of anti-PD-1 antibody and VEGFRi exhibited a prolonged survival benefit (median progression-free survival: 4.4 vs. 2.0 months, P=0.0024; median overall survival: 10.2 vs. 5.2 months, P=0.0038) and a similar adverse event incidence. Through single-cell and spatial transcriptomic analysis, we determined ten MSS CRC-enriched immune cell types and their spatial distribution, including naive CD4⁺ T, regulatory CD4⁺ T, CD4⁺ Th17, exhausted CD8⁺ T, cytotoxic CD8⁺ T, proliferated CD8⁺ T, natural killer (NK) cells, plasma, and classical and intermediate monocytes. Based on a systemic meta-analysis and ten machine learning algorithms, we obtained MCICRS, an independent risk factor for the prognosis of MSS CRC patients. Further analyses demonstrated that the low-MCICRS group presented a higher immune cell infiltration and immune-related pathway activation, and hence a significant relation with the superior efficacy of pan-cancer immunotherapy. More importantly, the predictive value of MCICRS in MSS CRC patients receiving immunotherapy was also validated with an in-house cohort. Anti-PD-1 antibody combined with VEGFRi presented an improved clinical benefit in MSS CRC with manageable toxicity. MCICRS could serve as a robust and promising tool to predict clinical outcomes for individual MSS CRC patients receiving immunotherapy.
Humans ; Colorectal Neoplasms/drug therapy* ; Male ; Female ; Immunotherapy ; Middle Aged ; Aged ; Tumor Microenvironment/immunology* ; Retrospective Studies ; Microsatellite Instability ; Transcriptome ; Single-Cell Analysis ; Programmed Cell Death 1 Receptor/immunology* ; Gene Expression Profiling ; Immune Checkpoint Inhibitors/therapeutic use* ; Adult ; Receptors, Vascular Endothelial Growth Factor/antagonists & inhibitors*

Objective To investigate the prognostic value of M2 macrophage-related genes(MRG)in hepatitis B virus(HBV)-related hepatocellular carcinoma(HCC).Methods The transcriptome data of 73 patients with HBV-related HCC were obtained from TCGA database,and the MRG modules were identified by WGCNA.The MRG-based risk scoring model was constructed by LASSO regression analysis and validated using an external dataset.The correlation of the risk score with immune cell infiltration and drug sensitivity of HCC were analyzed with CIBERSORT and R.pRRophetic.The signaling pathways of the differential genes between the high-and low-risk groups were investigated using GSVA and GSEA enrichment analyses,and MRG expressions at the single cell level were validated using R.Seurat.The cell interaction intensity was analyzed by R.Cellchat to identify important cell types related to HCC progression.MRG expression levels were detected by RT-qPCR in THP-1 cells with HCC-conditioned medium-induced M2 polarization and in HBV-positive HCC cells.Results A high M2 macrophage infiltration level was significantly correlated with a poor prognosis of HCC,and 5 hub MRG(VTN,GCLC,PARVB,TRIM27,and GMPR)were identified.The overall survival of HCC patients was significantly lower in the high-risk than in the low-risk group.The high-and the low-risk groups showed significant enrichment of M2 macrophages and na?ve B cells,respectively,and were sensitive to BI.2536 and to AG.014699,AKT.inhibitor.Ⅷ,AZD.0530,AZD7762,and BMS.708163,respectively.The proliferation-related and metabolism-related pathways were enriched in the high-risk group,where monocytes showed the most active cell interactions during HCC progression.VTN was significantly upregulated in HCC cell lines,while GCLC,PARVB,TRIM27,and GMPR were upregulated in M2 THP-1 cells.Conclusion The MRG-based risk scoring model can accurately predict the prognosis of HBV-related HCC and reveal the differences in tumor microenvironment to guide precision treatment of the patients.

Objective To investigate the prognostic value of M2 macrophage-related genes(MRG)in hepatitis B virus(HBV)-related hepatocellular carcinoma(HCC).Methods The transcriptome data of 73 patients with HBV-related HCC were obtained from TCGA database,and the MRG modules were identified by WGCNA.The MRG-based risk scoring model was constructed by LASSO regression analysis and validated using an external dataset.The correlation of the risk score with immune cell infiltration and drug sensitivity of HCC were analyzed with CIBERSORT and R.pRRophetic.The signaling pathways of the differential genes between the high-and low-risk groups were investigated using GSVA and GSEA enrichment analyses,and MRG expressions at the single cell level were validated using R.Seurat.The cell interaction intensity was analyzed by R.Cellchat to identify important cell types related to HCC progression.MRG expression levels were detected by RT-qPCR in THP-1 cells with HCC-conditioned medium-induced M2 polarization and in HBV-positive HCC cells.Results A high M2 macrophage infiltration level was significantly correlated with a poor prognosis of HCC,and 5 hub MRG(VTN,GCLC,PARVB,TRIM27,and GMPR)were identified.The overall survival of HCC patients was significantly lower in the high-risk than in the low-risk group.The high-and the low-risk groups showed significant enrichment of M2 macrophages and na?ve B cells,respectively,and were sensitive to BI.2536 and to AG.014699,AKT.inhibitor.Ⅷ,AZD.0530,AZD7762,and BMS.708163,respectively.The proliferation-related and metabolism-related pathways were enriched in the high-risk group,where monocytes showed the most active cell interactions during HCC progression.VTN was significantly upregulated in HCC cell lines,while GCLC,PARVB,TRIM27,and GMPR were upregulated in M2 THP-1 cells.Conclusion The MRG-based risk scoring model can accurately predict the prognosis of HBV-related HCC and reveal the differences in tumor microenvironment to guide precision treatment of the patients.

Objective To analyze the efficacy of salmeterol rotticasone combined with tiotropium bromide in the treatment of elderly patients with stable chronic obstructive pulmonary disease(COPD)and its influence on serum procalcitonin(PCT),serum amyloid A(SAA)and albumin-to-fibrinogen ratio(AFR)levels.Methods The elderly patients with stable COPD were divided into control group and treatment group.The control group was treated with salmeterol rotticasone inhalation powder(1 inhalation each time,twice a day),while the treatment group was given tiotropium bromide inhaled powder aerosol treatment(1 inhalation each time once a day)on the basis of the control group.Patients in two groups were treated for 3 months.The clinical efficacy and differences in pulmonary function[forced expiratory volume in one second(FEV1),FEV1/forced vital capacity(FEV1/FVC),peak expiratory flow(PEF)],modified British Medical Research Council respiratory questionnaire(mMRC)score,COPD Assessment Test(CAT)score and serum PCT,SAA and AFR levels were compared;and the safety was evaluated.Results Fifty-two patients and fifty-eight patients were included in treatment group and control group,respectively.After treatment,the total effective rates in treatment group and control group were 90.38％(47 cases/52 cases)and 75.86％(44 cases/58 cases)(P＜0.05).The FEV1 values in treatment group and control group were(1.49±0.33)and(1.36±0.29)L;the FEV1/FVC values were(61.28±10.56)％and(57.41±10.03)％;PEF values were(5.32±0.88)and(4.93±0.75)L·s-1;mMRC scores were(0.99±0.24)and(1.21±0.27)points;the CAT scores were(11.58±3.02)and(14.26±3.71)points;PCT levels were(0.76±0.11)and(0.85±0.18)μg·L-1;SAA levels were(34.59±4.15)and(37.66±5.34)mg·L-1;AFR levels were 5.97±1.12 and 5.53±1.06,respectively.Compared with the control group,the above indexes in the treatment group were statistically significant(all P＜0.05).The main adverse drug reactions in treatment group were dry mouth,constipation and dizziness and nausea,and the main adverse drug reactions in control group were dry mouth,constipation,and dizziness and nausea.The total incidence rates of adverse drug reactions in treatment group and control group were 21.15％(11 cases/52 cases)and 13.79％(8 cases/58 cases)respectively,with no statistical significance(P＞0.05).Conclusion Salmeterol ticasone inhalation powder and tiotropium bromide inhaled powder aerosol can effectively enhance the clinical efficacy of elderly patients with stable COPD,improve the pulmonary function,relieve the body's inflammation,and promote the improvement of disease condition,with good safety.

The incidence of knee osteoarthritis(KOA)is in-creasing year by year,seriously affecting patients'health.Mes-enchymal stem cells are multipotent cells with multiple differen-tiation functions.The extracellular vesicles released by these cells can carry various"cargo"to corresponding cells and tis-sues,exerting biological functions.They have shown great clini-cal potential in the treatment of KOA.This study reviews the therapeutic effects and mechanisms of extracellular vesicles se-creted by mesenchymal stem cells from different tissues such as bone marrow,adipose tissue,and synovium in KOA.It is found that miRNA is an important biological component in exerting therapeutic effects.The study also discusses the research pro-gress of engineered extracellular vesicles in KOA,pointing out the current challenges in clinical application,such as standard-ized acquisition of extracellular vesicles and difficulties in targe-ted action,aiming to provide a certain reference for the basic re-search and clinical application of extracellular vesicle therapy for KOA.

According to the International League Against Epilepsy (ILAE) standards, the Newborn Working Group of the ILAE put forward 6 necessary questions about the management of neonatal anti-seizure medication and gave evidence-based recommendations in 2023. The basic framework is systematic review+expert consensus. The clinical recommendations of ILAE guidelines 2023 and the similarities and differences between ILAE guidelines 2023 and ILAE guidelines 2011 were analyzed and interpreted in this paper, in order to provide reference for colleagues involved in neonatal convulsion management in China.

Kidneys filter bloodand regulate fluid and electrolyte balances.However,the kidney is susceptible to toxicity of various compounds,Resulting in renal damage.Hence,prevention and treatment of renal injury is a hot research topic.Zebrafish is an ideal animal model,because it is closely related to humans in terms of morphology,physiology,and kidney functions and its response to compounds.In this article,we review the method and evaluation indexes of zebrafish kidney injury modeling.