Objective: To analyze the unregistered treatment situation and its influencing factors among pulmonary tuberculosis patients in Quzhou City, Zhejiang Province from 2017 to 2023, so as to provide a basis for promoting the management of tuberculosis patients and optimizing disease prevention and control strategies. Methods: Data of pulmonary tuberculosis patients including demographic information, etiological results, and mortality status were collected through the China Disease Prevention and Control Information System Infectious Disease Reporting and Surveillance System and the Tuberculosis Management Information System. Pulmonary tuberculosis patients not matched in the Tuberculosis Management Information System were defined as unregistered treatment patients, and the unregistered treatment rate was analyzed. Factors affecting unregistered treatment among pulmonary tuberculosis patients were analyzed using a multivariable logistic regression model. Results: A total of 10 779 pulmonary tuberculosis patients were reported in Quzhou City from 2017 to 2023, including 7 700 males (71.44%) and 3 079 females (28.56%). There were 5 484 cases aged <65 years, accounting for 50.88%. Among them, 630 cases were unregistered treatment, with an unregistered treatment rate of 5.84% (95%CI: 5.42%-6.38%). Multivariable logistic regression analysis showed pulmonary tuberculosis patients aged ≥65 years (OR=1.829, 95%CI: 1.512-2.212) had a higher risk of being unregistered treatment than those aged <65 years; patients with non-local household registration (OR=5.710, 95%CI: 4.724-6.901) had a higher risk than local patients; and patients engaged in housework/unemployed (OR=2.001, 95%CI: 1.421-2.818) or other occupations (OR=2.396, 95%CI: 1.789-3.137) had a higher risk than farmers. The mortality of unregistered treatment pulmonary tuberculosis patients was higher than the registered treatment patients (26.67% vs. 5.02%),with a significantly elevated mortality risk (OR=7.147, 95%CI: 5.738-8.902). Conclusions The unregistered treatment rate among pulmonary tuberculosis patients was well controlled in Quzhou City from 2017 to 2023, but the elderly, patients with non-local household registration, and those engaged in housework/unemployed had a higher risk of unregistered treatment. It is recommended to improve medical and social security policies, strengthen health education on tuberculosis prevention, enhance treatment adherence, and reduce mortality risk.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.

The histopathological growth patterns (HGPs) of colorectal cancer (CRC) liver metastasis reflect the complicated and varied interactions between tumor cells and host microenvironment. Exploring the tumor vascular and immunological features of HGPs, the relationship between HGPs and anti-tumor treatment efficacy, and HGPs prediction methods may have potential clinical aplication value for making optimal treatment strategies, evaluating patients' prognosis, and monitoring disease progression.

BACKGROUND:Laser therapy is a non-invasive and painless treatment that is considered to be an effective method suitable for the treatment of osteoarthritis due to its simplicity and non-invasive nature.Currently,the mechanism of action of laser therapy is unclear and the results of studies on its clinical application are controversial. OBJECTIVE:To review and summarize the latest research progress of laser therapy on chondrocytes,animal experiments and clinical efficacy,and to explore the possible mechanism of laser-mediated multi-pathway biological effects,so as to provide a theoretical basis for further research on the laser treatment of osteoarthritis of the knee joint. METHODS:A literature search was performed in CNKI,WanFang Data,VIP and PubMed databases for relevant literature published from 2018 to 2023,with"laser therapy,low level laser therapy,high level laser therapy,photobiomodulation,knee osteoarthritis,chondrocytes"as the search terms in Chinese and English,respectively.Together with 14 articles searched manually,70 articles were finally included for review. RESULTS AND CONCLUSION:Laser therapy in the treatment of knee osteoarthritis is mainly categorized into two types:low-level laser therapy and high-level laser therapy.Differences in laser parameters and treatment protocols have a direct impact on laser efficacy.When appropriate parameters are used,low-level lasers show positive effects in cellular experiments,animal models,and clinical efficacy.High-level lasers have been less studied in the treatment of knee osteoarthritis,but some preliminary clinical studies have shown positive results.Cell experiments have shown that low-level laser promotes chondrocyte proliferation and cartilage matrix synthesis,thereby reducing inflammatory response.Animal experiments have shown that low-level laser can reduce the release of pro-inflammatory factors,promote cartilage matrix synthesis,inhibit matrix degradation,and effectively improve the repair process of cartilage tissue.Low-level laser is also able to reduce oxidative stress damage and relieve pain in knee osteoarthritis.In clinical trials,both low-and high-level laser can reduce patients'pain and improve functional activities.The combination of laser therapy and exercise therapy modalities may improve the therapeutic effect.Lasers may affect intracellular signaling and cellular functions through photobiological or thermodynamic effects.This provides direct evidence that laser promotes articular cartilage regeneration.

Objective To investigate the relationship between two-lung ventilation (TLV) with single-lumen endotracheal tube (SLT), one-lung ventilation (OLV) with double-lumen endotracheal tube (DLT) and postoperative pulmonary complications (PPCs) after total thoracoscopic cardiac surgery. Methods The clinical data of patients who underwent totally thoracoscopic cardiac surgeries in the Guangdong Provincial People’s Hospital from October 2019 to October 2021 were retrospectively analyzed. The patients were divided into 2 group according to the type of endotracheal tube, including a SLT group and a DLT group. Baseline data, surgical variables and PPCs were compared. The influencing factors of PPCs in the two groups were analyzed by binary logistic regression analysis. Results Finally 349 patients were enrolled, including 180 males and 169 females with an average age of (50.0±14.8) years. There were 219 patients in the SLT group and 130 patients in the DLT group. There was no statistical difference in baseline data, surgical variables or PPCs between the two groups (P＞0.05). Binary logistic regression analysis showed that PPCs were related to body mass index in the SLT group (OR=0.778, 95%CI 0.637 to 0.951, P=0.014) and preoperative smoking history in the DLT group (OR=0.058, 95%CI 0.004 to 0.903, P=0.042). Conclusion For the patients who undergo totally thoracoscopic cardiac surgery, TLV with SLT and OLV with DLT show no significant association with PPCs. At the same time, PPCs are associated with body mass index in the SLT group, while associated with preoperative smoking history in the DLT group.

Osteoarthritis (OA) is a chronic degenerative joint disease whose main characteristic is the destruction of articular cartilage, causing pain and disability in patients and seriously affecting their quality of life. OA can be induced by a variety of causes, and pathological changes in articular cartilage are considered to be one of the key driving factors for the occurrence of OA. High mobility group box-1 protein (HMGB1), as a non-histone protein in eukaryotic cells, can participate in regulating the inflammation and apoptosis process of OA chondrocytes, thus leading to the occurrence of OA. This article reviews the research on the mechanism of HMGB1 in OA chondrocytes, with a view to providing new ideas for the clinical prevention and treatment of OA.

Objective:To explore the mechanism of long non-coding RNA RP11-79H23.3 in the development and progression of prostate cancer.Methods:The lnCAR database was used to analyze the RP11-79H23.3 content in prostate cancer tissues and adjacent tissues. RP11-79H23.3 content in prostate cancer cell lines C4-2B, LNCaP, DU-145, and 22Rv1 was detected by real-time fluorescence quantitative polymerase chain reaction (RT-qPCR). Taking 22Rv1 as the research target, colony formation experiments and scratch experiments were used to detect the effects of overexpression of RP11-79H23.3 on the proliferation and migration of 22Rv1 cells. The LncRNome and lncACTdb databases were used to predict the downstream gene and binding sequences of RP11-79H23.3. The Cancer Genome Atlas (TCGA) database was used to analyze the correlation between RP11-79H23.3 and miR-410 expression in prostate cancer tissues. The binding of RP11-79H23.3 and miR-410 was confirmed by dual-luciferase reporter gene experiment. The effect of RP11-79H23.3 on the expression of miR-410 was detected by RT-qPCR. Western blotting was used to detect the effect of RP11-79H23.3 on the expression of phosphatase and tensin homolog/protein kinase B/mammalian target of rapamycin (PTEN/AKT/mTOR) signaling pathway proteins in 22Rv1 cells. The measurement data were expressed as mean ± standard deviation ( ± s), paired sample t-test was used for comparison between two groups, and one-way analysis of variance was used for comparison between multiple groups. Results:Compared with adjacent tissues, RP11-79H23.3 was lowly expressed in prostate cancer tissues ( P<0.01). Compared with normal prostate epithelial cells RWPE-1, RP11-79H23.3 was lowly expressed in prostate cancer cell lines C4-2B, LNCaP, DU-145, and 22Rv1 ( P<0.05). The expression of RP11-79H23.3 in 22Rv1 cells in the control group and RP11-79H23.3 group were 1.02 ± 0.30 and 8.94±1.95, respectively. 22Rv1 cells were successfully overexpressed RP11-79H23.3 compared with the control group ( t=4.04, P<0.01). The number of 22Rv1 cell clones in the control group and RP11-79H23.3 group were 166.10 ± 18.35 and 35.03±6.98, respectively. Overexpression of RP11-79H23.3 could inhibit the proliferation of 22Rv1 cells compared with the control group ( t=6.67, P<0.01). The migration rates of 22Rv1 cells in the control group and RP11-79H23.3 group were (67.40 ± 6.29)% and (26.42 ± 6.24)%, respectively. Overexpression of RP11-79H23.3 could inhibit the migration of 22Rv1 cells compared with the control group ( t=5.71, P<0.01) .Dual-luciferase reporter gene experiment showed that RP11-79H23.3 directly binds to miR-410 ( t=6.20, P<0.01). The expression of miR-410 in 22Rv1 cells in the control group and RP11-79H23.3 group were 6.22±1.39 and 1.05±0.23, respectively. RP11-79H23.3 could inhibit the expression of miR-410 in 22Rv1 cells compared with the control group ( t=3.68, P<0.01). At the same time, RP11-79H23.3 can inhibit the transduction of the PTEN/AKT/mTOR signaling pathway in 22Rv1 cells. Conclusion:RP11-79H23.3 blocks the PTEN/AKT/mTOR signaling pathway by inhibiting the expression of miR-410, thereby inhibiting the proliferation and migration of prostate cancer 22Rv1 cells.

Objective:This study examined the development trend and research hotspot of cardiopulmonary brain resuscitation in the last ten years by a visual analysis of the literature on post-cardiac arrest brain injury.Methods:English articles were acquired from the Web of Sciences (WOS) core database. CiteSpace 5.8.R3 software was used to analyze annual publications, countries, institutions, authors. We identified the trending research areas by analyzing collaborative networks, keywords co-occurrence, burst detection analysis, timeline and time-zone diagrams.Results:The search included 10 867 articles in the WOS core database from Jan 1, 2013 to Oct 25, 2023. In the last ten years, the top 3 nations were the United States, China, and Japan, with the United States having the most citation of 3691 and an centrality of 0.47. The author with the highest number of publications was Hans Friberg from Sweden. The top 5 most frequent keywords in WOS were cardiac arrest, cardiopulmonary resuscitation, resuscitation, survival, outcome. Keyword cluster analysis showed 4 clusters, including: #0 of-hospital cardiac arrest, #1 traumatic brain injury, #2 targeted temperature management, #3 global cerebral ischemia. Keyword burst showed that the top 5 ranked by strength are mild hypothermia, emergency cardiovascular care, neuron specific enolase, cerebral ischemia, epinephrine, and the top 5 ranked by the year of burst begins are out-of-hospital cardiac arrest, cpr, epinephrine, coma, and task force. The timeline and time zone charts indicated that, starting in 2017, the main fields of study concentration were traumatic brain injury and out-of-hospital cardiac arrest. Additionally, extracorporeal membrane, intensive care, risk factors, and electroencephalography were identified as new high-frequency keywords.Conclusions:Over the past ten years, the research hotspots on post-cardiac arrest brain injury include out-of-hospital cardiac arrest, traumatic brain injury, and target temperature control. The research development trends will be extracorporeal membrane oxygenation, critical care, and EEG.

Objective·To further clarify the mechanism of podocyte damage by studying the expression of cartilage oligomeric matrix protein(COMP)in glomerular podocytes and its relationship with podocyte autophagy under high glucose environment.Methods·The gene expression dataset GSE104948 was downloaded from the GENE EXPRESSION OMNIBUS(GEO)database,and differentially expressed genes(DEGs)were obtained via GEO2R.The molecular functions and signaling pathways related to differential genes were summarized.The most correlated key genes(hub genes)were acquired by Weighted Gene Co-Expression Network Analysis(WGCNA)and the protein-protein interaction network(PPI)of DEGs was constructed with STRING database.The enrichment analysis was performed again.Conditionally immortalized mouse podocyte cells were cultured in vitro.After being fully differentiated,they were stimulated with high glucose,and the expressions of COMP,mammalian target of rapamycin(mTOR),microtubule-associated protein 1 light chain3(LC3)and other proteins in podocytes were detected by Western blotting.The shRNA constructed by lentiviral vector was further used to infect podocytes to inhibit the expression of COMP,and the stable cell strains were screened by puromycin.The expression of COMP,mTOR,and LC3 of stable strains were detected by Western blotting,in order to observe the effect of COMP on autophagy.Results·A total of 362 DEGs were filtered for subsequent analysis.Among these DEGs,284 genes were up-regulated and 78 genes were down-regulated.The results of Gene Onotology(GO)term analysis showed that DEGs in diabetic nephropathy(DN)were mainly enriched in cell surface receptor signaling pathway,receptor binding,etc.The main enriched Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways included phosphatidylinositol 3-kinase(PI3K)/protein kinase B(PKB/AKT)signaling pathway,extracellular matrix(ECM)-receptor interaction,etc.Sixty-four hub genes were refined through the intersection of WGCNA and PPI hub genes,and the hub genes with significantly increased or decreased expression were sifted.The hub genes were annotated with KEGG again,and it was found that most of the hub genes were enriched in"ECM-receptor interaction"and"PI3K/AKT signaling pathway".The PI3K/AKT/mTOR signaling pathway is a classic autophagy pathway,and COMP was absolutely overexpressed(logFC>2)in the 64 hub genes,suggesting that it may affect autophagy through this pathway.Western blotting showed that compared with the mannitol control group and the low glucose group,the expression of COMP in podocytes was significantly increased under high glucose stimulation.Compared with the control group,the expression of LC3-Ⅱ in the high glucose group was significantly decreased,indicating that the autophagy initiation of podocytes was inhibited under the high glucose environment.Compared with the negative control,the expression of LC3-Ⅱ in renal podocytes of mice with knockdown of COMP was significantly increased,and the mTOR decreased with the decrease of the expression of COMP,indicating that inhibiting COMP contributed to the recovery of autophagy in podocytes.Conclusion·COMP is highly expressed in DN patients and highly enriched in ECM receptor and PI3K/AKT signaling pathway.Autophagy in mouse renal podocytes is inhibited under high glucose conditions,and the high expression of COMP induced by high glucose may be a key factor in autophagy inhibition.Inhibiting COMP helps to restore autophagy in mouse renal podocytes.

Objective To explore the value of MR diffusion tensor imaging(DTI)in evaluating the effect of march training on the thigh muscles of recruits.Methods DTI scans of the right thigh were performed three times in forty recruits:before and after the march training and one month after the rest.Fractional anisotropy(FA)was measured on the cross-sectional images of the thigh muscles,including rectus femoris(RF),vastus medialis(VM),vastus lateralis(VL),vastus intermedius(VI),gracilis muscle(GM),sartorius muscle(SM),semitendinosus muscle(STM),semimembranosus muscle(SMM),long head of biceps femoris(LHBF)and short head of biceps femoris(SHBF).The percentage changes in FA values of each muscle after the training and rest were calculated.Paired samplet-tests were used to analyze the differences in FA among the thigh muscles at different time points,and one-way ANOVA was used to analyze the differences in the percentage changes of FA among the thigh muscles after the training and rest.Results Compared to pre-training,the FA values of all thigh muscles significantly decreased after the training,with statistical differences(P＜0.05).After the rest,the FA values of all thigh muscles recovered,but statistical differences remained in RF(P＜0.001),VM(P＜0.001),VL(P=0.001),STM(P=0.046),and LHBF(P=0.013).After the training and rest,the FA values of the recruits'thigh muscles showed a"decreasing first and then increasing"trend.There were statistical differences in the percentage changes of FA after the training and the recovery percentages of FA after the rest among the thigh muscles(P＜0.001,P＜0.001).Conclusion DTI may reflect the ultra-structure changes in the thigh muscles of recruits after the march training and provide a quantitative and noninvasive assessment of muscle micro-injuries.