Objective To investigate the causal relationship between metabolic syndrome and breast cancer by using a bidirectional two-sample Mendelian randomization (MR) approach. Methods Genome-wide association study (GWAS) summary statistics for metabolic syndrome and breast cancer were acquired from the Integrative Epidemiology Unit GWAS database and the GWAS Catalog, with populations encompassing the United States and East Asia. A bidirectional causal design was employed: a forward analysis with metabolic syndrome as the exposure and breast cancer as the outcome, followed by a reverse analysis wherein their roles were interchanged. The inverse-variance weighting (IVW) method was primarily used for effect estimation, supplemented by MR-Egger regression, the weighted median method, the simple mode method, and the weighted mode method. Instrument variable strength was screened using the F-statistic (F>10). Robustness of the results was assessed through heterogeneity tests, horizontal pleiotropy tests, forest plots, and leave-one-out sensitivity analyses. Results The IVW analysis indicated no significant causal relationship between metabolic syndrome and breast cancer (OR=1.00, 95%CI: 0.97-1.03), P>0.05). Sensitivity analyses yielded consistent results, suggesting the good robustness of the study findings. Conclusion This study found no evidence to support a causal relationship, either positive or negative, between metabolic syndrome and breast cancer.

Traditional Chinese medicine and its bioactive components have garnered increasing attention as potential therapeutic options for allergic asthma. By targeting the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway, these natural compounds exhibit unique advantages in multilevel immunomodulation and inflammation suppression compared with single-target synthetic drugs. Accumulating pharmacological evidence supports their capacity to restore pathway homeostasis, positioning them as promising candidates for complementary strategies in asthma management. Allergic asthma, a heterogeneous respiratory disorder affecting approximately 150 million individuals worldwide, arises from a complex interplay of genetic predisposition, environmental exposures, and lifestyle factors. Its pathological progression is marked by aberrant activation of the PI3K/AKT signaling cascade, with the mechanistic target of rapamycin serving as a key downstream regulatory node. This evolutionarily conserved pathway orchestrates fundamental cellular processes that contribute to three hallmark pathological features of allergic asthma: chronic airway inflammation, structural remodeling of the bronchial architecture, and airway hyperresponsiveness. This review has 3 primary objectives: (1) to evaluate the role of the PI3K/AKT pathway in allergic asthma pathogenesis, (2) to analyze the molecular mechanisms of representative traditional Chinese medicine preparations and their active ingredients, and (3) to identify novel bioactive inhibitors derived from natural products. Collectively, these investigations provide a conceptual framework for the development of next-generation targeted therapies and for optimizing clinical management strategies for allergic asthma.

Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

Objective To observe the value of digital breast tomosynthesis(DBT)radiomics combined with clinical data for predicting molecular type of breast invasive ductal carcinoma(IDC).Methods Totally 309 female patients with Luminal type and 97 with non-Luminal type breast IDC were retrospectively enrolled and divided into training set(n=284)and test set(n=122)at a ratio of 7∶3.Multivariate logistic regression analysis was performed to screen independent impact factors related to Luminal expression of breast IDC based on clinical data and DBT manifestations,then a clinical-imaging model was constructed.The radiomics model was established based on mediolateral oblique position of DBT images,and a combined model was conducted combining with clinical-imaging model and radiomics model.Receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the efficacy of each model for predicting molecular type of breast IDC.Results Histopathological grade and lesion margin showed on DBT was the clinical and imaging independent impact factor associated with Luminal expression of breast IDC,respectively(both P＜0.05).AUC of combined model for predicting molecular type of breast IDC in training set and test set was 0.821 and 0.715,respectively,both higher than clinical-imaging model(0.727 and 0.665)and radiomics model(0.776 and 0.663)(all P＜0.05),while no significant difference was found between clinical-imaging model and radiomics model(both P＞0.05).Conclusion DBT radiomics combined with clinical data was helpful for predicting molecular type of breast IDC.

Objective:To explore the mechanisms of action of Huanglian Jiedu decoction combined with Xijiao Dihuang decoction (HLJDT-XJDH) in regulating fibroblasts in the treatment of psoriasis. Methods:A mouse model of psoriasis was established by topical application of imiquimod 5% cream on the shaved back; HLJDT-XJDH at different doses of 7.7 and 30.6 g/kg was administered via gavage for intervention, and methotrexate (2 mg/kg) served as a positive control; after 7 days, the severity of skin lesions was assessed using the psoriasis area and severity index (PASI), while histopathological changes of skin tissues were evaluated using hematoxylin-eosin (HE) staining and Baker scoring. For in vitro experiments, fibroblasts were divided into a control group, a model group, a low-dose (5% drug-containing serum) intervention group, and a high-dose (20% drug-containing serum) intervention group; cells in the control group were cultured with 20% normal rat serum for 24 hours; in the model group, cells cultured with 20% normal rat serum were stimulated with 5 ng/ml tumor necrosis factor (TNF) -α and 50 ng/ml interleukin (IL) -17A for 24 hours to mimic fibroblasts during the occurrence of psoriasis; cells in the low- and high-dose intervention groups received the same stimulation as the model group, and were cultured for 24 hours with 5% and 20% HLJDT-XJDH-containing serum, respectively, but not with the 20% normal rat serum. After the above treatment, these cells were co-cultured with keratinocytes (HaCaT cells) using a Transwell system. In addition, on the basis of the control group, fibroblasts were divided into the model group, 20% drug-containing serum intervention group, and 20% drug-containing serum intervention + OE-SFRP2 group; TNF-α and IL-17A were used to stimulate the cells to simulate the psoriatic state; the treatment in the 20% drug-containing serum intervention group was carried out as previously described; in the 20% drug-containing serum intervention + OE-SFRP2 group, cells were transfected with the vector for 48 hours to establish an overexpression model, followed by culture with 20% drug-containing serum for 24 hours, without co-culture with HaCaT cells.. Cell counting kit-8 (CCK-8) assay was performed to assess cell viability, flow cytometry to measure apoptosis rates, enzyme-linked immunosorbent assay (ELISA) to detect levels of inflammatory cytokines (TNF-α, IL-1β, IL-6) as well as chemokine ligand (CXCL) 1 and CXCL12 in mouse serum or cell culture supernatant, qPCR to determine the mRNA expression of inflammatory cytokines, chemokines, cell cycle- and proliferation-related factors, as well as SFRP2 in mouse skin tissues or cells, and Western blot analysis to determine the protein expression of SFRP2, Wnt3a, and β-catenin in fibroblasts. One-way analysis of variance was employed for intergroup comparisons, and post-hoc analysis was conducted using Tukey's test. Results:In vivo mouse experiments showed that compared with the normal control group, the model group exhibited typical psoriatic characteristics in skin morphology, including significant inflammatory infiltration in skin tissues and marked epidermal thickening; compared with the normal control group, the serum levels of TNF-α (531.16 ± 28.27 pg/ml vs. 239.58 ± 10.39 pg/ml), IL-1β (111.40 ± 5.16 pg/ml vs. 80.35 ± 3.87 pg/ml), and IL-6 (109.17 ± 4.84 pg/ml vs. 71.73 ± 2.04 pg/ml) significantly increased in the model group, along with their mRNA expression levels in mouse skin tissues (all P < 0.001) ; compared with the model group, the treatment group showed alleviated psoriatic manifestations, and significant reductions in the levels of inflammatory factors TNF-α (low-dose, high-dose, and positive control groups: 420.80 ± 29.30 pg/ml, 322.33 ± 9.40 pg/ml, 322.97 ± 12.16 pg/ml, respectively), IL-1β (98.69 ± 4.49 pg/ml, 89.02 ± 1.56 pg/ml, 88.88 ± 2.08 pg/ml, respectively), and IL-6 (94.07 ± 3.76 pg/ml, 80.54 ± 3.30 pg/ml, 83.21 ± 3.18 pg/ml, respectively), as well as in their mRNA expression levels (all P < 0.001). In in vitro fibroblast experiments, compared with the control group, the model group exhibited a significant elevation in the supernatant levels of IL-1β (126.42 ± 3.56 pg/ml vs. 34.81 ± 0.44 pg/ml), IL-6 (459.44 ± 9.35 pg/ml vs. 115.51 ± 7.26 pg/ml), CXCL1 (2 434.88 ± 127.63 pg/ml vs. 762.85 ± 30.60 pg/ml) and CXCL12 (3 542.14 ± 35.86 pg/ml vs. 2 095.86 ± 45.12 pg/ml), the expression levels of their mRNAs (all P < 0.001), as well as the protein expression levels of SFRP2, Wnt3a, and β-catenin; after intervention with HLJDT-XJDH-containing serum, all the above indices significantly decreased (all P < 0.001). However, when 20% drug-containing serum intervention was administered simultaneously, the expression of inflammatory factors and chemokines in fibroblasts was significantly higher in the SFRP2 overexpression group than in the non-overexpression group (all P < 0.01). When fibroblasts were co-cultured with HaCaT cells, the model group showed significantly increased cell viability but a decreased apoptosis rate of HaCaT cells compared with the control group, while the low- and high-dose intervention groups showed significantly decreased cell viability but increased apoptosis rates of HaCaT cells compared with the model group (all P < 0.05) . Conclusion:HLJDT-XJDH may exert therapeutic effects in psoriasis by downregulating the SFRP2/Wnt/β-catenin signaling pathway, thereby inhibiting fibroblast activation and inflammatory process, which subsequently suppresses the proliferation of keratinocytes and the activation of inflammatory cells.

Objective To observe the value of digital breast tomosynthesis(DBT)-based radiomics nomogram for predicting Ki-67 expression levels in breast invasive ductal carcinoma(BIDC).Methods Data of 374 cases of BIDC were retrospectively analyzed and divided into high-expression group(n=224)and low-expression group(n=150)according to expression of Ki-67 as well as training set(n=271,162 cases in high-expression group and 109 cases in low-expression group)and test set(n=103,62 cases in high-expression group and 41 cases in low-expression group)at the ratio of 7∶3.Clinical characteristics and lesion's image manifestations were compared between groups,and radiomic features were extracted and filtered.Then imaging radiomics models were constructed with 8 classifiers,respectively,and the optimal classifier was selected.A nomogram model was subsequently developed through integrating image features and radiomics scores.Receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the performance of the above models.Results Significant differences of the maximum diameter and spiculated margin of the lesions were found between groups(both P＜0.05),and AUC of multi-layer perceptron(MLP)image model constructed based on these indexes for predicting BIDC expression level of Ki-67 was 0.654 in training set and 0.715 in test set,of MLP radiomics model constructed based on 8 radiomics features was 0.802 in training set and 0.806 in test set,while of the nomogram model constructed based on image features and radiomics scores was 0.802 in training set and 0.806 in test set,respectively.Conclusion DBT-based radiomics nomogram could be used to effectively predict Ki-67 expression levels in BIDC.

Objective To observe the value of digital breast tomosynthesis(DBT)-based radiomics nomogram for predicting Ki-67 expression levels in breast invasive ductal carcinoma(BIDC).Methods Data of 374 cases of BIDC were retrospectively analyzed and divided into high-expression group(n=224)and low-expression group(n=150)according to expression of Ki-67 as well as training set(n=271,162 cases in high-expression group and 109 cases in low-expression group)and test set(n=103,62 cases in high-expression group and 41 cases in low-expression group)at the ratio of 7∶3.Clinical characteristics and lesion's image manifestations were compared between groups,and radiomic features were extracted and filtered.Then imaging radiomics models were constructed with 8 classifiers,respectively,and the optimal classifier was selected.A nomogram model was subsequently developed through integrating image features and radiomics scores.Receiver operating characteristic curves were drawn,and the area under the curves(AUC)were calculated to evaluate the performance of the above models.Results Significant differences of the maximum diameter and spiculated margin of the lesions were found between groups(both P＜0.05),and AUC of multi-layer perceptron(MLP)image model constructed based on these indexes for predicting BIDC expression level of Ki-67 was 0.654 in training set and 0.715 in test set,of MLP radiomics model constructed based on 8 radiomics features was 0.802 in training set and 0.806 in test set,while of the nomogram model constructed based on image features and radiomics scores was 0.802 in training set and 0.806 in test set,respectively.Conclusion DBT-based radiomics nomogram could be used to effectively predict Ki-67 expression levels in BIDC.

Objective:To explore the mechanisms of action of Huanglian Jiedu decoction combined with Xijiao Dihuang decoction (HLJDT-XJDH) in regulating fibroblasts in the treatment of psoriasis. Methods:A mouse model of psoriasis was established by topical application of imiquimod 5% cream on the shaved back; HLJDT-XJDH at different doses of 7.7 and 30.6 g/kg was administered via gavage for intervention, and methotrexate (2 mg/kg) served as a positive control; after 7 days, the severity of skin lesions was assessed using the psoriasis area and severity index (PASI), while histopathological changes of skin tissues were evaluated using hematoxylin-eosin (HE) staining and Baker scoring. For in vitro experiments, fibroblasts were divided into a control group, a model group, a low-dose (5% drug-containing serum) intervention group, and a high-dose (20% drug-containing serum) intervention group; cells in the control group were cultured with 20% normal rat serum for 24 hours; in the model group, cells cultured with 20% normal rat serum were stimulated with 5 ng/ml tumor necrosis factor (TNF) -α and 50 ng/ml interleukin (IL) -17A for 24 hours to mimic fibroblasts during the occurrence of psoriasis; cells in the low- and high-dose intervention groups received the same stimulation as the model group, and were cultured for 24 hours with 5% and 20% HLJDT-XJDH-containing serum, respectively, but not with the 20% normal rat serum. After the above treatment, these cells were co-cultured with keratinocytes (HaCaT cells) using a Transwell system. In addition, on the basis of the control group, fibroblasts were divided into the model group, 20% drug-containing serum intervention group, and 20% drug-containing serum intervention + OE-SFRP2 group; TNF-α and IL-17A were used to stimulate the cells to simulate the psoriatic state; the treatment in the 20% drug-containing serum intervention group was carried out as previously described; in the 20% drug-containing serum intervention + OE-SFRP2 group, cells were transfected with the vector for 48 hours to establish an overexpression model, followed by culture with 20% drug-containing serum for 24 hours, without co-culture with HaCaT cells.. Cell counting kit-8 (CCK-8) assay was performed to assess cell viability, flow cytometry to measure apoptosis rates, enzyme-linked immunosorbent assay (ELISA) to detect levels of inflammatory cytokines (TNF-α, IL-1β, IL-6) as well as chemokine ligand (CXCL) 1 and CXCL12 in mouse serum or cell culture supernatant, qPCR to determine the mRNA expression of inflammatory cytokines, chemokines, cell cycle- and proliferation-related factors, as well as SFRP2 in mouse skin tissues or cells, and Western blot analysis to determine the protein expression of SFRP2, Wnt3a, and β-catenin in fibroblasts. One-way analysis of variance was employed for intergroup comparisons, and post-hoc analysis was conducted using Tukey's test. Results:In vivo mouse experiments showed that compared with the normal control group, the model group exhibited typical psoriatic characteristics in skin morphology, including significant inflammatory infiltration in skin tissues and marked epidermal thickening; compared with the normal control group, the serum levels of TNF-α (531.16 ± 28.27 pg/ml vs. 239.58 ± 10.39 pg/ml), IL-1β (111.40 ± 5.16 pg/ml vs. 80.35 ± 3.87 pg/ml), and IL-6 (109.17 ± 4.84 pg/ml vs. 71.73 ± 2.04 pg/ml) significantly increased in the model group, along with their mRNA expression levels in mouse skin tissues (all P < 0.001) ; compared with the model group, the treatment group showed alleviated psoriatic manifestations, and significant reductions in the levels of inflammatory factors TNF-α (low-dose, high-dose, and positive control groups: 420.80 ± 29.30 pg/ml, 322.33 ± 9.40 pg/ml, 322.97 ± 12.16 pg/ml, respectively), IL-1β (98.69 ± 4.49 pg/ml, 89.02 ± 1.56 pg/ml, 88.88 ± 2.08 pg/ml, respectively), and IL-6 (94.07 ± 3.76 pg/ml, 80.54 ± 3.30 pg/ml, 83.21 ± 3.18 pg/ml, respectively), as well as in their mRNA expression levels (all P < 0.001). In in vitro fibroblast experiments, compared with the control group, the model group exhibited a significant elevation in the supernatant levels of IL-1β (126.42 ± 3.56 pg/ml vs. 34.81 ± 0.44 pg/ml), IL-6 (459.44 ± 9.35 pg/ml vs. 115.51 ± 7.26 pg/ml), CXCL1 (2 434.88 ± 127.63 pg/ml vs. 762.85 ± 30.60 pg/ml) and CXCL12 (3 542.14 ± 35.86 pg/ml vs. 2 095.86 ± 45.12 pg/ml), the expression levels of their mRNAs (all P < 0.001), as well as the protein expression levels of SFRP2, Wnt3a, and β-catenin; after intervention with HLJDT-XJDH-containing serum, all the above indices significantly decreased (all P < 0.001). However, when 20% drug-containing serum intervention was administered simultaneously, the expression of inflammatory factors and chemokines in fibroblasts was significantly higher in the SFRP2 overexpression group than in the non-overexpression group (all P < 0.01). When fibroblasts were co-cultured with HaCaT cells, the model group showed significantly increased cell viability but a decreased apoptosis rate of HaCaT cells compared with the control group, while the low- and high-dose intervention groups showed significantly decreased cell viability but increased apoptosis rates of HaCaT cells compared with the model group (all P < 0.05) . Conclusion:HLJDT-XJDH may exert therapeutic effects in psoriasis by downregulating the SFRP2/Wnt/β-catenin signaling pathway, thereby inhibiting fibroblast activation and inflammatory process, which subsequently suppresses the proliferation of keratinocytes and the activation of inflammatory cells.

Objective:To conduct a Meta-synthesis on the characteristics of symptom help-seeking behavior in adult cancer patients, so as to provide evidence-based guidance for early intervention of symptom help-seeking behavior in cancer patients in China.Methods:Qualitative studies on symptom help-seeking behavioral characteristics of cancer patients were systematically searched in PubMed, Cochrane Library, Web of Science, ProQuest, Nature, ScienceDirect, China National Knowledge Infrastructure, WanFang Data, China Biology Medicine disc, and VIP. The search period was from database establishment to December 31, 2024. Included literature was independently evaluated using the Australian Joanna Briggs Institute Center for Evidence-Based Health Care Quality Assessment Criteria for Qualitative Research. The results were integrated through the Meta-synthesis method.Results:A total of 15 papers were included, and 30 findings were distilled and grouped into nine categories, resulting in three integrated findings of low symptom perception and interpretation bias, coping styles of symptom disclosure, and factors influencing symptom help-seeking behaviors.Conclusions:Symptom help-seeking behaviors of cancer patients are influenced by a variety of factors, and understanding their behavioral characteristics is useful in informing the development of intervention strategies.

This article introduces Professor Zhou Peng's clinical experience in treating generalized anxiety disorder(GAD)using spirit-regulating and root-strengthening integrated acupuncture.Based on the pathological characteristics of GAD,Professor Zhou Peng summarizes its pathogenesis as"disharmony of qi,blood,yin,and yang,"pointing out that"deficiency"is the essence of its onset,with spleen and kidney deficiency being the root cause.He advocates treating GAD from the perspective of"deficiency and decline,"focusing on strengthening the spleen and kidneys,consolidating the root,and nourishing the source,while also regulating the mind.The integrated acupuncture therapy includes needling,refined moxibustion,and intradermal needle embedding.Needling is used to harmonize qi and blood,refined moxibustion to regulate and supplement yin and yang to consolidate the root,and intradermal needle embedding to regulate the mind and consolidate the therapeutic effects of acupuncture.Starting from improving patients'compliance with treatment and ensuring sustained therapeutic effects,Professor Zhou emphasizes that acupuncture manipulation should be fast,gentle,and soft,with needle insertion resembling a swift crane touching the waves and needle manipulation like a deer drinking from a clear spring.He places great importance on patients'sensations and aims to holistically regulate the body's qi,blood,yin,and yang,restoring the balance of body and mind,thereby effectively treating generalized anxiety disorder.