AIM:To investigate the expression levels of serum sirtuin 6(Sirt6)and nicotinamide adenine dinucleotide phosphate oxidase 2(NOX2)in patients with primary glaucoma and their correlation with the severity of the disease. METHODS:This study is a cross-sectional study. Patients diagnosed with primary glaucoma at the hospital from August 2022 to June 2025 were enrolled and divided into mild-to-moderate and severe groups based on the mean deviation of visual field defects, along with healthy individuals as a control group. Clinical data were collected, and serum levels of Sirt6 and NOX2 were measured using enzyme-linked immunosorbent assay(ELISA). Correlations between serum Sirt6 and NOX2 levels and clinical parameters were analyzed. Multivariate Logistic regression was used to identify factors influencing disease severity, and the diagnostic efficacy of serum Sirt6 and NOX2 levels was evaluated using receiver operating characteristic(ROC)curves. RESULTS:A total of 120 patients with primary glaucoma(58 males, 62 females, mean age 60.08±8.19 y)and 100 controls(46 males, 56 females, mean age 60.23±8.67 y)were enrolled in this study. There were no statistically significant differences in sex or age between the two groups(both P>0.05). The intraocular pressure and serum NOX2 expression level in the primary glaucoma group were significantly higher than those in the control group, while the Sirt6 level was significantly lower than in the control group(all P<0.001). The AUC values of serum Sirt6 and NOX2 in the diagnosis of primary glaucoma were 0.733 and 0.770, respectively, with optimal cutoff values of 2.35 and 4.25 ng/mL, respectively. The AUC of the combined diagnosis of the two was 0.901, and its efficacy was obviously better than that of a single indicator(Zcombination-Sirt6=5.317, Zcombination-NOX2=4.720, P<0.001).The severe group had lower serum Sirt6 expression levels(P<0.05), and higher NOX2 expression levels(P<0.05)than the mild-to-moderate group. Serum Sirt6 expression levels were prominently negatively correlated with mean intraocular pressure(r=-0.354, P<0.05); NOX2 expression levels were prominently positively correlated with mean intraocular pressure(r=0.240, P<0.05). Multivariate Logistic regression analysis showed that a decrease in serum Sirt6 expression levels(OR=0.229, 95%CI: 0.090-0.581), an increase in serum NOX2 expression levels(OR=2.649, 95%CI: 1.658-4.232), an increase in mean intraocular pressure(OR=1.278, 95%CI: 1.118-1.462)which were risk factors for the progression to severe glaucoma. The AUC values of serums Sirt6 and NOX2 expression levels in diagnosing severe primary glaucoma were 0.794 and 0.800, respectively, the AUC, sensitivity, and specificity of the combined diagnosis of the two were 0.916, 80.00%, and 89.33%, respectively, and the combined diagnostic efficacy was better than that of a single indicator(Zcombination-Sirt6=2.627, P=0.009, Zcombination-NOX2=2.762, P=0.006). CONCLUSION:The decreased serum Sirt6 and increased NOX2 expression levels in patients with primary glaucoma are significantly correlated with disease severity, and the combined detection demonstrates good diagnostic value for primary glaucoma and its severity.

Traditional Chinese medicine （TCM）， through its multi-target and systematic regulatory effects， has demonstrated unique advantages in the treatment of gastric precancerous lesions （GPL）. At present， TCM theoretical research on GPL is mainly reflected in three aspects， the integration of macroscopic syndrome differentiation， the inflammation-carcinoma transformation mechanism， as well as the systematization and scientization of theoretical inheritance from famous TCM practitioners. High-quality evidence-based research findings serve as the foundation for clinical practice guidelines on GPL， and TCM has gained international academic recognition in the field of GPL prevention and treatment. Research on TCM mechanisms has yielded a series of important outcomes in the aspects of signaling pathways， gene expression regulation， cellular epigenetics， histone modification， and intestinal microecology. It is proposed that future research on GPL should focus on four key directions， establishing multi-omics data， exploring targeted intervention strategies on key regulatory nodes， advancing the standardization process of integrated traditional Chinese and western medicine prevention and treatment technologies， and constructing stratified screening and intervention platforms. The in-depth integration of TCM microcosmic mechanism of action with its macroscopic syndrome differentiation and treatment system， coupled with interdisciplinary research， will provide valuable references for the clinical treatment and scientific research of GPL.

To interpret the evidence-to-decision （EtD） framework and to illustrate its application in traditional Chinese medicine （TCM） guideline development using the example of the Pharmacovigilance Guideline of Chinese Patent Medicine， thereby providing methodological references for TCM guideline standardization. Based on the core three stages of the EtD framework （formulating the question， making an assessment of the evidence， and drawing conclusions）， critical decision points and evaluation evidence within the evidence-translation process were systematically addressed， aligning with the purpose， scope， and key questions of the guideline. Qualitative research methods， such as the nominal group technique， were employed to formulate recommendations. The analysis was conducted based on the EtD framework. During question formulation， the specific characteristics and practical needs of pharmacovigilance for Chinese patent medicines were clarified， focusing on the core objective of safety assurance throughout the product lifecycle. In the evidence assessment， multi-source evidence was integrated， including policy documents， literature research， and expert consensus， completing the evidence evaluation. Finally， in recommendation-forming， dispersed research evidence and expert experience were synthesized into consensus， culminating in the guideline's completion through solicitation of opinions and peer review. The EtD framework provides a structured tool for evidence-to-decision translation in TCM guideline development， effectively enhancing the transparency and scientific rigor of the process. Therefore， it is recommended that TCM guideline development adopt the EtD framework to improve the evidence-to-decision process with TCM characteristics.

To interpret the evidence-to-decision （EtD） framework and to illustrate its application in traditional Chinese medicine （TCM） guideline development using the example of the Pharmacovigilance Guideline of Chinese Patent Medicine， thereby providing methodological references for TCM guideline standardization. Based on the core three stages of the EtD framework （formulating the question， making an assessment of the evidence， and drawing conclusions）， critical decision points and evaluation evidence within the evidence-translation process were systematically addressed， aligning with the purpose， scope， and key questions of the guideline. Qualitative research methods， such as the nominal group technique， were employed to formulate recommendations. The analysis was conducted based on the EtD framework. During question formulation， the specific characteristics and practical needs of pharmacovigilance for Chinese patent medicines were clarified， focusing on the core objective of safety assurance throughout the product lifecycle. In the evidence assessment， multi-source evidence was integrated， including policy documents， literature research， and expert consensus， completing the evidence evaluation. Finally， in recommendation-forming， dispersed research evidence and expert experience were synthesized into consensus， culminating in the guideline's completion through solicitation of opinions and peer review. The EtD framework provides a structured tool for evidence-to-decision translation in TCM guideline development， effectively enhancing the transparency and scientific rigor of the process. Therefore， it is recommended that TCM guideline development adopt the EtD framework to improve the evidence-to-decision process with TCM characteristics.

The spine is the most common site of skeletal metastasis in lung cancer, which frequently leads to severe complications such as pathological fracture and neurological compromise and is associated with poor prognosis. The development and progression of spinal metastasis from lung cancer are linked to the unique local microenvironment and tumor microenvironment (TME) of the vertebral column. During metastatic evolution, the dense vascular network of the spine and a plethora of signaling molecules, together with the complex cellular constituents and their intricate interactions within the TME, all cooperate to facilitate the tumor invasion and colonization of the vertebral compartment. Mechanistic studies delineating the role of the TME in spinal metastasis from lung cancer have markedly expanded, fostering the emergence of innovative therapeutic strategies—including nanomedicines, sono-photodynamic therapy, gene therapy, and combination regimens. These strategies demonstrate remarkably potential for clinical translation and offer new directions for the precision management of spinal metastasis from lung cancer.

AIM: To investigate the associations of aqueous humor miR-21 and miR-29b levels with the severity of optic nerve damage and GMPE in patients with primary open angle glaucoma(POAG).METHODS:POAG patients who presented to the hospital from May 2023 to May 2025 were prospectively enrolled as the disease group, and patients with cataract treated during the same period were included as the control group. Baseline characteristics and aqueous humor levels of miR-21 and miR-29b were compared between the two groups. POAG patients were categorized into mild and moderate-to-severe groups according to the mean deviation(MD)of visual field. Clinical characteristics and the expression levels of miR-21 and miR-29b in aqueous humor were compared between the two groups. Correlations and nonlinear associations between miR-21/miR-29b levels and RNFL thickness, visual field MD, and BMO-MRW were evaluated. Furthermore, factors influencing the progression of optic nerve damage were analyzed. Based on prognostic outcomes, patients were divided into good prognosis and poor prognosis groups, and the aqueous humor levels of miR-21 and miR-29b were compared. ROC curve analysis was performed to assess the predictive value of combined GMPE with miR-21 and miR-29b for prognosis in POAG patients.Internal validation and decision curve analysis(DCA)were also conducted.RESULTS:This study included 151 patients in the disease group(age 56.07±7.59 y, 84 males and 67 females)and 138 patients in the control group(age 56.84±8.25 y, 68 males and 70 females). There were 45 cases in the mild group(age 54.63±7.34 y, 27 males and 18 females)and 106 cases in the moderate-severe group(age 56.68±8.39 y, 57 males and 49 females). There were 118 cases in the good prognosis group(age 55.83±8.07 y, 67 males and 51 females)and 33 cases in the poor prognosis group(age 56.94±8.23 y, 17 males and 16 females). Compared with the control group, the disease group exhibited significantly higher miR-21 levels and lower miR-29b levels(all P<0.001). Compared with the mild group, intraocular pressure and miR-21 levels were significantly higher in the moderate-to-severe group, while RNFL thickness, visual field MD, BMO-MRW, and miR-29b levels were significantly lower(all P<0.01). The miR-21/miR-29b ratio was negatively correlated with RNFL thickness, visual field MD, and BMO-MRW(all P<0.05). Elevated intraocular pressure and miR-21 levels, reduced RNFL thickness, lower visual field MD, and decreased BMO-MRW and miR-29b levels were identified as risk factors for aggravated optic nerve damage in POAG patients(all P<0.05). Compared with the good prognosis group, the poor prognosis group showed significantly higher miR-21 levels and lower miR-29b, RNFL, and BMO-MRW levels(all P<0.001). The combined prediction model incorporating aqueous humor miR-21, miR-29b, RNFL, and BMO-MRW yielded significantly higher AUC and specificity for predicting POAG prognosis than individual parameters alone(both P<0.05). The ROC prediction model demonstrated good consistency, and the combined prediction model exhibited high clinical utility.CONCLUSION: Aqueous humor levels of miR-21 are significantly elevated while miR-29b levels are significantly decreased in POAG patients, and these alterations are closely correlated with the severity of optic nerve damage and GMPE parameters.

Objective: To investigate the impact of current laboratory testing models and screening strategies on blood safety by analyzing repeat nucleic acid testing (NAT) results obtained from blood donors who had dual-reactive enzyme-linked immunosorbent assay (ELISA) results but were initially nonreactive by NAT. Methods: Samples from blood donors with dual-reactive ELISA results and initially nonreactive NAT results collected at Dalian Blood Center from 2017 to 2025 were included. Repeated testing was performed using two NAT systems: transcription-mediated amplification (TMA) and polymerase chain reaction (PCR). The results were analyzed in terms of the frequency of reactive NAT results and the testing strategies, including minipool and individual donation testing. Results: A total of 199 samples with dual-reactive ELISA results and initially nonreactive NAT results were included，comprising 66 HBsAg-reactive samples，130 anti-HCV-reactive samples，and 3 HIV Ag/Ab-reactive samples. Among the HBsAg-reactive samples，57（57/66，86.4%）showed at least one reactive NAT result upon repeated testing，and 49 showed two or more repeat reactive results. Anti-HBc was reactive in 64 samples（64/66，97.0%）and nonreactive in 2 samples（2/66，3.0%）；both anti-HBc-nonreactive samples remained nonreactive in repeated NAT. No stable repeat nucleic acid reactivity was observed in anti-HCV- or HIV Ag/Abreactive samples. The TMA system detected 50 reactive samples（50/66，75.8%）through three combined assays plus one discriminatory assay, whereas the PCR system detected 51 reactive samples (51/66, 77.3%) through four rounds of individual-donation testing. Fortyfour samples were reactive on both systems, 6 were reactive only on the TMA system, and 7 were reactive only on the PCR system. Conclusion: Among blood donors with dual-reactive ELISA results and initially non-reactive NAT results, HBsAg-reactive samples contain a high proportion of low viral load HBV-related cases, with intermittent and probabilistic nucleic acid detectability. Both testing frequency and detection strategy significantly affect the detection of low viral load samples. These findings highlight the importance of recognizing the detection characteristics of low viral load HBV-related samples in order to optimize blood screening strategies and improve blood safety.

Objective: To systematically evaluate the intervention effect of family physician management on medication adherence among patients with chronic diseases in the community, so as to provide the evidence for improving the health status of patients with chronic diseases. Methods: Randomized controlled trials regarding the intervention effect of family physician management on medication adherence among community-dwelling patients with chronic diseases in China were retrieved from CNKI, Wanfang Data, VIP, China Medical Literature Service System, PubMed, Web of Science, and Embase from inception to April 30, 2025. Meta-analysis was performed using RevMan 5.4 and R 4.5.1 software. Sensitivity analysis was conducted by excluding studies one by one, and Egger's regression test was used to assess publication bias. Results: A total of 429 articles were initially screened, and 11 Chinese studies involving 3 574 patients with chronic diseases in the community were finally included. Meta-analysis showed that family physician management significantly improved medication adherence (RR=1.400, 95%CI: 1.175-1.668). Subgroup analysis showed significant differences in the intervention effect across subgroups stratified by research setting and outcome measurement tools (all P<0.05). Sensitivity analysis confirmed the robustness of the pooled results. Egger's regression test indicated publication bias. After adjustment by the trim-and-fill method, the direction of the pooled RR value remained unchanged, confirming robust findings. Conclusions Family physician management can effectively improve medication adherence among community-dwelling patients with chronic diseases in China. It is necessary to further implement contracted family physician services to promote the health of patients with chronic diseases.

Chaihu Longgu Muli Decoction can be used to treat perimenopausal insomnia (PMI). It can be used either alone with modification or in combination with Western medicine or acupuncture and moxibustion and other external TCM treatment methods, which has achieved good efficacy, and can improve the symptoms of patients with difficulty falling asleep and decreased sleep quality, with good safety. The treatment of Chaihu Longgu Muli Decoction for PMI may exert its effects through multiple pathways, such as inhibiting HPA axis hyperactivity, regulating hormone and neurotransmitter levels, inhibiting oxidative stress and inflammatory responses. However, existing clinical studies suffer from issues such as small sample sizes, inconsistent research protocols, and inconsistent efficacy evaluation criteria, which require further improvement and deeper exploration of relevant mechanisms.

Chemical communication in plant-microbiome and intra-microbiome interactions weaves a complex network, critically shaping ecosystem stability and agricultural productivity. This non-contact interaction is driven by small-molecule signals that orchestrate crosstalk dynamics and beneficial association. Plants leverage these signals to distinguish between pathogens and beneficial microbes, dynamically modulate immune responses, and secrete exudates to recruit a beneficial microbiome, while microbes in turn influence plant nutrient acquisition and stress resilience. Such bidirectional chemical dialogues underpin nutrient cycling, co-evolution, microbiome assembly, and plant resistance. However, knowledge gaps persist regarding validating the key molecules involved in plant-microbe interactions. Interpreting chemical communication requires multi-omics integration to predict key information, genome editing and click chemistry to verify the function of biomolecules, and artificial intelligence (AI) models to improve resolution and accuracy. This review helps advance the understanding of chemical communication and provides theoretical support for agriculture to cope with food insecurity and climate challenges.
Microbiota/physiology* ; Plants/microbiology* ; Artificial Intelligence ; Ecosystem