Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Objective:To analyze the effects of fluorine exposure on calcium ion metabolism and the expression of related calcium-regulating proteins in the kidneys of rats.Methods:Forty-five 5-week-old specific pathogen-free male Wistar rats (weighed 90 - 120 g) were selected and divided into three groups according to the randomized numeric table: 0 (control), 50, and 100 mg/L fluorine exposure groups, with 15 rats in each group. The control group was given deionized water, while the 50 and 100 mg/L fluorine exposure groups were given sodium fluoride solutions containing 50 and 100 mg/L fluorine ions, respectively. After 12 weeks, urine samples were collected, and kidneys and blood were harvested. Urinary fluorine levels were measured using a fluoride ion-selective electrode method. Calcium ion levels in the urine, kidneys, and serum were determinated using the methylthymol blue microplate method. The protein expression levels of transient receptor potential vanilloid receptor 5 (TRPV5), calbindin-D28K (CB-D28K), sodium-calcium exchanger-1 (NCX1), Klotho and plasma membrane calcium ATPase 1b (PMCA1b) in the kidneys were detected by Western blotting and immunohistochemistry.Results:The urinary fluorine levels in the control group and the 50 and 100 mg/L fluorine exposure groups were (0.48 ± 0.09), (20.01 ± 1.68), (37.45 ± 2.45) mg/L, respectively, with statistically significant differences between the groups ( F = 929.58, P < 0.001). Significant differences in calcium ion levels in urine, kidneys, and serum were observed among the three groups ( F = 14.66, 11.09, 10.31, P < 0.05). Compared with the control group, the 100 mg/L fluorine exposure group exhibited higher levels of calcium ion in the urine and kidneys, and lower serum calcium ion levels ( P < 0.05). The results of Western blotting analysis revealed that the protein expression levels of TRPV5 and CB-D28K in the kidneys increased with the increase of fluorine exposure level ( Z = 2.11, 2.11, P = 0.035). The protein expression level of NCX1 in the kidneys showed a decreasing trend with increasing fluorine exposure level ( Z = - 2.11, P = 0.035). Significant differences were also observed in the protein expression levels of Klotho and PMCA1b among the three groups ( F = 8.93, 7.08, P < 0.05). Compared with the control group, the 100 mg/L fluorine exposure group showed higher level of Klotho protein expression and lower level of PMCA1b protein expression in the kidneys ( P < 0.05). Immunohistochemical results indicated significant differences in the protein expression levels of TRPV5, CB-D28K, NCX1, and Klotho in the kidneys of the three groups ( F = 27.56, 24.94, 16.05, 32.72, P < 0.05). Compared with the control group, the protein expression levels of TRPV5, CB-D28K, and Klotho in kidneys of 50 and 100 mg/L fluorine exposure groups were higher, while the protein expression levels of NCX1 were lower ( P < 0.05). Conclusion:Fluorine exposure may cause calcium ion metabolism disorders by regulating the expression levels of Klotho and other calcium-regulating proteins in the kidneys.

Depression is a common mental illness that has a negative impact on patient quality of life,as well as representing a serious economic burden to society.The strategy of interfering with depression based on signaling pathways has recently attracted widespread attention.The cAMP pathway is an important cellular signaling pathway that plays a key role in the pathogenesis of and interventions for depression.In this review,we addresses recent studies on cAMP pathway-based interventions in depression,to provide a theoretical basis for regulating the cAMP pathway and its cascade mechanism in depression.

Objective:To analyze the effects of fluorine exposure on calcium ion metabolism and the expression of related calcium-regulating proteins in the kidneys of rats.Methods:Forty-five 5-week-old specific pathogen-free male Wistar rats (weighed 90 - 120 g) were selected and divided into three groups according to the randomized numeric table: 0 (control), 50, and 100 mg/L fluorine exposure groups, with 15 rats in each group. The control group was given deionized water, while the 50 and 100 mg/L fluorine exposure groups were given sodium fluoride solutions containing 50 and 100 mg/L fluorine ions, respectively. After 12 weeks, urine samples were collected, and kidneys and blood were harvested. Urinary fluorine levels were measured using a fluoride ion-selective electrode method. Calcium ion levels in the urine, kidneys, and serum were determinated using the methylthymol blue microplate method. The protein expression levels of transient receptor potential vanilloid receptor 5 (TRPV5), calbindin-D28K (CB-D28K), sodium-calcium exchanger-1 (NCX1), Klotho and plasma membrane calcium ATPase 1b (PMCA1b) in the kidneys were detected by Western blotting and immunohistochemistry.Results:The urinary fluorine levels in the control group and the 50 and 100 mg/L fluorine exposure groups were (0.48 ± 0.09), (20.01 ± 1.68), (37.45 ± 2.45) mg/L, respectively, with statistically significant differences between the groups ( F = 929.58, P < 0.001). Significant differences in calcium ion levels in urine, kidneys, and serum were observed among the three groups ( F = 14.66, 11.09, 10.31, P < 0.05). Compared with the control group, the 100 mg/L fluorine exposure group exhibited higher levels of calcium ion in the urine and kidneys, and lower serum calcium ion levels ( P < 0.05). The results of Western blotting analysis revealed that the protein expression levels of TRPV5 and CB-D28K in the kidneys increased with the increase of fluorine exposure level ( Z = 2.11, 2.11, P = 0.035). The protein expression level of NCX1 in the kidneys showed a decreasing trend with increasing fluorine exposure level ( Z = - 2.11, P = 0.035). Significant differences were also observed in the protein expression levels of Klotho and PMCA1b among the three groups ( F = 8.93, 7.08, P < 0.05). Compared with the control group, the 100 mg/L fluorine exposure group showed higher level of Klotho protein expression and lower level of PMCA1b protein expression in the kidneys ( P < 0.05). Immunohistochemical results indicated significant differences in the protein expression levels of TRPV5, CB-D28K, NCX1, and Klotho in the kidneys of the three groups ( F = 27.56, 24.94, 16.05, 32.72, P < 0.05). Compared with the control group, the protein expression levels of TRPV5, CB-D28K, and Klotho in kidneys of 50 and 100 mg/L fluorine exposure groups were higher, while the protein expression levels of NCX1 were lower ( P < 0.05). Conclusion:Fluorine exposure may cause calcium ion metabolism disorders by regulating the expression levels of Klotho and other calcium-regulating proteins in the kidneys.

Objective:This study aimed to evaluate whether intra-articular delivery of conditioned medium(CM)derived from stem cells of human exfoliated deciduous teeth(SHED)could influence the progression of condylar cartilage degeneration in a rat model of temporomandibular joint osteoarthritis(TMJ OA).Methods:Sixty 8-week-old male SD rats were randomly divided into control group(CON group),intraarticular injection of MIA induced TMJ OA model group(MIA group),and injection of SHED condi-tioned medium 1 week after MIA modeling for treatment group(SHED-CM group),with 20 animals in each group.Histological sec-tions,HE,Safranine O-solid green staining,Col Ⅱ immunohistochemical staining,and TUNEL staining were performed 2 and 4 weeks after the start of treatment.Western blotting and RT-qPCR were used to detect the key molecules of apoptosis,cleaved-CASP3,BAX and BCL2,pro-inflammatory related factors IL-1β,IL-6,TNFα,MMP3,ADAMTS5,and the MAPK pathway-related molecules p-ERK,ERK,p-P38 and P38.Results:Compared with the CON group and SHED-CM group,the condyle chondrocytes in the MIA group had disordered arrange-ment,interrupted layers,significantly thickened fibrous layers(P＜0.001),and significantly increased Mankin's OA histological score(P＜0.001).In the MIA group,both the Safranin O-positive area ratio and the proportion of ColⅡ-positive regions were markedly reduced compared with the CON and SHED-CM groups(P＜0.001).Conversely,the proportion of TUNEL-positive cells was substantially higher than in the other two groups(both P＜0.001).Western blot analysis further demonstrated that apoptotic markers(cleaved-CASP3,BAX/BCL2)and MAPK pathway-related proteins(p-ERK,ERK,p-P38,P38)were expressed at significantly elevated levels in the MIA group relative to CON and SHED-CM groups(BAX/BCL2:P＜0.05;cleaved-CASP3:P＜0.01;p-P38/P38:P＜0.001;p-ERK/ERK:P＜0.01).Similarly,qRT-PCR revealed upregulated expression of inflammatory mediators,including IL-1 β(P＜0.001),IL-6(P＜0.01),TNFα(P＜0.01),MMP3(P＜0.001),and ADAMTS5(P＜0.05),in the MIA group compared with the CON and SHED-CM groups.Conclusion:SHED-CM treatment can ef-fectively reverse MIA-induced condylar cartilage degeneration of TMJ OA in rats.

Objective:To evaluate the accuracy of the oral healthcare information provided by different large language models (LLM) to explore their feasibility and limitations in the application of oral auxiliary, treatment and health consultation.Methods:This study designed eight items comprising 47 questions in total related to the diagnosis and treatment of oral diseases [to assess the performance of LLM as an artificial intelligence (AI) medical assistant], and five items comprising 35 questions in total about oral health consultations (to assess the performance of LLM as a simulated doctor). These questions were answered individually by the five LLM models (Erine Bot, HuatuoGPT, Tongyi Qianwen, iFlytek Spark, ChatGPT). Two attending physicians with more than 5 years of experience independently rated the responses using the 3C criteria (correct, clear, concise), and the consistency between the raters was assessed using the Spearman rank correlation coefficient, and the Kruskal-Wallis test and Dunn post hoc test were used to assess the statistical differences between the models. Additionally, this study used 600 questions from the 2023 dental licensing examination to evaluate the time taken to answer, scores, and accuracy of each model.Results:As an AI medical assistant, LLM can assist doctors in diagnosis and treatment decision-making, with an inter-evaluator Spearman coefficient of 0.505 ( P<0.01). As a simulated doctor, LLM can carry out patient popularization, with an inter-evaluator Spearman coefficient of 0.533 ( P<0.01). The 3C scores of each model as an AI medical assistant and a simulated doctor were respectively: 2.00 (1.00, 3.00) and 2.00 (2.00, 3.00) points of Erine Bot, 1.00 (1.00, 2.00) and 2.00 (1.00, 2.00) points of HuatuoGPT, 2.00 (1.00, 2.00) and 2.00 (1.00, 3.00) points of Tongyi Qianwen, 2.00 (1.00, 2.00) and 2.00 (1.75, 2.25) points of iFlytek Spark, 3.00 (2.00, 3.00) and 3.00 (2.00, 3.00) points of ChatGPT (full score of 4 points). The Kruskal-Wallis test results showed that, as an AI medical assistant or a simulated doctor, there were statistically differences in the 3C scores among the five large language models (all P<0.001). The average score of the 5 LLMs on the dental licensing examination was 370.2, with an accuracy rate of 61.7% (370.2/600) and a time consumption of 94.6 min. Specifically, Erine Bot took 115 min, scored 363 points with an accuracy rate of 60.5% (363/600), HuatuoGPT took 224 min and scored 305 points with an accuracy rate of 50.8% (305/600), Tongyi Qianwen took 43 min, scored 438 points with an accuracy rate of 73.0% (438/600), iFlytek Spark took 32 min, scored 364 points with an accuracy rate of 60.7% (364/600), and ChatGPT took 59 min, scored 381 points with an accuracy rate of 63.5% (381/600). Conclusions:Based on the evaluation of LLM′s dual roles as an AI medical assistant and a simulated doctor, ChatGPT performes the best, with basically correct, clear and concise answers, followed by Erine Bot, Tongyi Qianwen and iFlytek Spark, with HuatuoGPT lagging behind significantly. In the dental licensing examination, all the 4 LLM, except for HuatuoGPT, reach the passing level, and the time consumpution for answering is significantly reduced compared to the 8 h required for the exam regulations in all of the five models. LLM has the feasibility of application in oral auxiliary, treatment and health consultation, and it can help both doctors and patients obtain medical information quickly. Howere, their outputs carry a risk of errors (since the 3C scoring results do not reach the full marks), so prudent judgment should be exercised when using them.

Objective:This study aimed to evaluate whether intra-articular delivery of conditioned medium(CM)derived from stem cells of human exfoliated deciduous teeth(SHED)could influence the progression of condylar cartilage degeneration in a rat model of temporomandibular joint osteoarthritis(TMJ OA).Methods:Sixty 8-week-old male SD rats were randomly divided into control group(CON group),intraarticular injection of MIA induced TMJ OA model group(MIA group),and injection of SHED condi-tioned medium 1 week after MIA modeling for treatment group(SHED-CM group),with 20 animals in each group.Histological sec-tions,HE,Safranine O-solid green staining,Col Ⅱ immunohistochemical staining,and TUNEL staining were performed 2 and 4 weeks after the start of treatment.Western blotting and RT-qPCR were used to detect the key molecules of apoptosis,cleaved-CASP3,BAX and BCL2,pro-inflammatory related factors IL-1β,IL-6,TNFα,MMP3,ADAMTS5,and the MAPK pathway-related molecules p-ERK,ERK,p-P38 and P38.Results:Compared with the CON group and SHED-CM group,the condyle chondrocytes in the MIA group had disordered arrange-ment,interrupted layers,significantly thickened fibrous layers(P＜0.001),and significantly increased Mankin's OA histological score(P＜0.001).In the MIA group,both the Safranin O-positive area ratio and the proportion of ColⅡ-positive regions were markedly reduced compared with the CON and SHED-CM groups(P＜0.001).Conversely,the proportion of TUNEL-positive cells was substantially higher than in the other two groups(both P＜0.001).Western blot analysis further demonstrated that apoptotic markers(cleaved-CASP3,BAX/BCL2)and MAPK pathway-related proteins(p-ERK,ERK,p-P38,P38)were expressed at significantly elevated levels in the MIA group relative to CON and SHED-CM groups(BAX/BCL2:P＜0.05;cleaved-CASP3:P＜0.01;p-P38/P38:P＜0.001;p-ERK/ERK:P＜0.01).Similarly,qRT-PCR revealed upregulated expression of inflammatory mediators,including IL-1 β(P＜0.001),IL-6(P＜0.01),TNFα(P＜0.01),MMP3(P＜0.001),and ADAMTS5(P＜0.05),in the MIA group compared with the CON and SHED-CM groups.Conclusion:SHED-CM treatment can ef-fectively reverse MIA-induced condylar cartilage degeneration of TMJ OA in rats.

Micro/nanoplastics (MNPs), recognized as emerging environmental pollutants, are widely distributed in natural environments. Due to their small particle size and significant migratory capacity, MNPs can infiltrate diverse environmental matrices, then invade and accumulate in the organism via the skin, respiration, and digestion. Recently, concerns have grown over the detrimental effects and potential toxicity of MNPs on reproductive health. This review summarized published epidemiological and toxicological studies related to MNPs exposure and their effects on reproductive health. Firstly, this review critically examined the current landscape of epidemiological evidence and found that MNPs (e.g., polystyrene, polypropylene, polyvinyl chloride, polyethylene, etc.) are present in various biological specimens from both males and females, and their presence may be associated with an increased risk of reproductive disorders. Secondly, extensive toxicological studies revealed that MNPs exposure induces reproductive health damage through mechanisms such as disrupting the microstructure of reproductive organs and altering molecular-level expressions. Oxidative stress, inflammatory responses, and apoptosis are identified as potential links between MNPs exposure and reproductive damage. Finally, this review addressed the prevalent shortcomings in existing studies and proposed future directions to tackle the challenges posed by MNPs-induced reproductive harm. These insights aim to inform strategies for safeguarding public reproductive health and ecological security, providing a scientific foundation for mitigating risks associated with MNPs pollution.

Objective The mechanism of Huazhuo xingxue decoction(HZXXD)in the treatment of ischemic stroke was explored through network pharmacology,molecular docking and cell validation.Methods TCMSP,TCMID,BATMAN-TCM database and literature search were used to get the chemical components and related target proteins of Huazhuo Xingxue Decoction,and the targets of dementia,stroke and amnesia were obtained from Genecards database and OMIM database.The traditional Chinese medicine-active components-target-network and protein interaction map were constructed by using Cytoscape,and the target was enriched by KEGG pathway by David database.Western blot was used to investigate the effect of HZXXD on inflammation-related core targets expression using oxygen and glucose deprivation/reoxygenation cell model.Finally,Autodock was used for molecular docking of key active ingredients and important targets to evaluate their binding activity.Results 76 active molecules and 33 common targets of herb-disease were screened out.KEGG bioaccumulation results involve multiple inflammatory signal pathways such as TNF,chemical carcinogenesis-reactive oxygen species and HIF-1.TNF-α was found to be the core target of HZXXD by oxygen glucose deprivation/reoxygenation cell experiments.Five compounds with the strongest binding ability to TNF-α,kaempferol,apigenin,aloe-emodin,baicalein and stigasterol,were screened by traditional Chinese medicine-active ingredient-target network map and molecular docking.Conclusion Huazhuo Xingxue Decoction may down regulate the expression of core target TNF-α,kaempferol,apigenin,aloe emodin,baicalein and stigasterol may be the main active substances for TNF-α binding.