Objective: To explore the network structure of eating behaviors with anxiety, depression and perceived stress in adolescents, so as to provide a basis for effective prevention and intervention of eating behavior problems and negative emotions in adolescents. Methods: Based on the Psychology and Behavior Investigation of Chinese Residents (2021) database, the study was conducted among 3 087 adolescents. Sakata Eating Behavior Scale Short From(EBS-SF) was used to investigate their eating behaviors. The Patient Health Questionnaire-9(PHQ-9), Generalized Anxiety Disorder Scale-7 Item(GAD-7), and Perceived Stress Questionnaire-3 Item (PSQ-3) were used to evaluate their depression, anxiety and perceived stress. Network analysis method was applied to construct a network of eating behaviors and negative emotional symptoms among adolescents, so as to evaluate the centrality, bridge strength, stability and accuracy of each item. Results: The total scores of eating behaviors, depression,anxiety and stress perception in adolescents were 17.41±4.53,6.95±6.08,4.86±5.03,9.34±3.80,respectively. The symptom with the highest intensity and expected impact was "I am only satisfied when I buy more food than I need", with a node intensity and expected impact value of 4.37. The nodes Depression and Anxiety were the most closely connected(weight=0.87). There were no statistically significant differences in the network structure( M =0.13,0.11) and network connection strength(female and male:4.16,4.06, s =0.10;urban and rural areas:4.08,4.07, s =0.01) between different sexes and residents ( P >0.05). Conclusion The negative impact of comorbidities such as anxiety, depression, perceived stress and eating behaviors among adolescents can be reduced through targeted prevention and intervention of core symptoms and bridging symptoms.

BACKGROUND: Lung adenocarcinoma (LUAD) is the predominant subtype of non-small cell lung cancer (NSCLC). Damage-specific DNA binding protein 1 (DDB1), as a core protein of the CUL4-DDB1 ubiquitin ligase complex, is involved in the regulation of DNA damage repair, epigenetic modification, and cell cycle checkpoint activation. While the involvement of DDB1 in tumour progression through DNA repair and RNA transcriptional regulation has been reported, its expression and role in LUAD remain to be elucidated. This study aims to investigate the expression and role of DDB1 in LUAD. METHODS: The expression, clinicopathological features and prognosis of DDB1 in LUAD were analysed using databases such as UALCAN, Kaplan-Meier Plotter and GEPIA; The interaction network and enriched functional pathways were constructed by GeneMANIA and Metascape; the correlation between DDB1 and immune cells by combining with TISIDB infiltration was evaluated, and the clustering results of cell subtypes and the expression of DDB1 in different immune cell subpopulations were analysed by single-cell sequencing; finally, tissue microarrays were used to further verify the expression and prognostic value of DDB1 in LUAD. RESULTS: The mRNA and protein expression of DDB1 in LUAD tissues were significantly higher than those in normal tissues (P<0.01), and the high expression correlated with later clinical stage (P<0.001), lymph node metastasis (P<0.001) and poor prognosis (P<0.001). Functional enrichment showed that DDB1 was involved in DNA repair and RNA transcriptional regulation, and TISIDB evaluation revealed that DDB1 was negatively correlated with the expression level of immune cells, suggesting the potential regulation of the immune microenvironment. Single cell analysis showed that DDB1 was mainly expressed in T cells, alveolar macrophages and dendritic cells. Tissue microarrays confirmed that overall survival was shorter in the DDB1 high expression group (P<0.001), and Cox multifactorial analysis showed that DDB1 was an independent predictor of LUAD prognosis. CONCLUSIONS DDB1 is highly expressed in LUAD, which is associated with poor prognosis, and is closely related to tumor immune cell infiltration, and is involved in tumourigenesis and development through DNA repair and RNA transcriptional regulation. DDB1 can be used as a potential prognostic marker and therapeutic target for LUAD.
Humans ; Adenocarcinoma of Lung/immunology* ; DNA-Binding Proteins/metabolism* ; Lung Neoplasms/diagnosis* ; Gene Expression Regulation, Neoplastic ; Prognosis ; Male ; Female ; Middle Aged

In protein engineering, while computational models are increasingly used to predict mutation effects, their evaluations primarily rely on high-throughput deep mutational scanning (DMS) experiments that use surrogate readouts, which may not adequately capture the complex biochemical properties of interest. Many proteins and their functions cannot be assessed through high-throughput methods due to technical limitations or the nature of the desired properties, and this is particularly true for the real industrial application scenario. Therefore, the desired testing datasets, will be small-size (∼10-100) experimental data for each protein, and involve as many proteins as possible and as many properties as possible, which is, however, lacking. Here, we present VenusMutHub, a comprehensive benchmark study using 905 small-scale experimental datasets curated from published literature and public databases, spanning 527 proteins across diverse functional properties including stability, activity, binding affinity, and selectivity. These datasets feature direct biochemical measurements rather than surrogate readouts, providing a more rigorous assessment of model performance in predicting mutations that affect specific molecular functions. We evaluate 23 computational models across various methodological paradigms, such as sequence-based, structure-informed and evolutionary approaches. This benchmark provides practical guidance for selecting appropriate prediction methods in protein engineering applications where accurate prediction of specific functional properties is crucial.

Chronic pain, frequently comorbid with neuropsychiatric disorders, significantly impairs patients' quality of life and functional capacity. Accumulating evidence implicates the chemokine CCL2 and its receptor CCR2 as key players in chronic pain pathogenesis. This review examines the regulatory mechanisms of the CCL2/CCR2 axis in chronic pain processing at three hierarchical levels: (1) Peripheral Sensitization: CCL2/CCR2 modulates TRPV1, Nav1.8, and HCN2 channels to increase neuronal excitability and CGRP signaling and calcium-dependent exocytosis in peripheral nociceptors to transmit pain. (2) Spinal Cord Central Sensitization: CCL2/CCR2 contributes to NMDAR-dependent plasticity, glial activation, GABAergic disinhibition, and opioid receptor desensitization. (3) Supraspinal Central Networks: CCL2/CCR2 signaling axis mediates the comorbidity mechanisms of pain with anxiety and cognitive impairment within brain regions, including the ACC, CeA, NAc, and hippocampus, and it also increases pain sensitization through the descending facilitation system. Current CCL2/CCR2-targeted therapeutic strategies and their development status are discussed, highlighting novel avenues for chronic pain management.
Humans ; Chronic Pain/physiopathology* ; Animals ; Neuroglia/metabolism* ; Chemokine CCL2/metabolism* ; Receptors, CCR2/metabolism*

Luteolin is a natural flavonoid compound exists in various fruits and vegetables. Recent studies have indicated that luteolin has variety pharmacological effects, including a wide range of antidepressant properties. Here, we systematically review the preclinical studies and limited clinical evidence on the antidepressant and neuroprotective effects of luteolin to fully explore its antidepressant power. Network pharmacology and molecular docking analyses contribute to a better understanding of the preclinical models of depression and antidepressant properties of luteolin. Seventeen preclinical studies were included that combined network pharmacology and molecular docking analyses to clarify the antidepressant mechanism of luteolin and its antidepressant targets. The antidepressant effects of luteolin may involve promoting intracellular noradrenaline (NE) uptake; inhibiting 5-hydroxytryptamine (5-HT) reuptake; upregulating the expression of synaptophysin, postsynaptic density protein 95, brain-derived neurotrophic factor, B cell lymphoma protein-2, superoxide dismutase, and glutathione S-transferase; and decreasing the expression of malondialdehyde, caspase-3, and amyloid-beta peptides. The antidepressant effects of luteolin are mediated by various mechanisms, including anti-oxidative stress, anti-apoptosis, anti-inflammation, anti-endoplasmic reticulum stress, dopamine transport, synaptic protection, hypothalamic-pituitary-adrenal axis regulation, and 5-HT metabolism. Additionally, we identified insulin-like growth factor 1 receptor (IGF1R), AKT serine/threonine kinase 1 (AKT1), prostaglandin-endoperoxide synthase 2 (PTGS2), estrogen receptor alpha (ESR1), and epidermal growth factor receptor (EGFR) as potential targets, luteolin has an ideal affinity for these targets, suggesting that it may play a positive role in depression through multiple targets, mechanisms, and pathways. However, the clinical efficacy of luteolin and its potential direct targets must be confirmed in further multicenter clinical case-control and molecular targeting studies.

Objective:To establish an epidemiological cut-off value (ECV) for antifungal drugs against Cryptococcus neoformans in East China through a multicenter in vitro drug susceptibility test. Methods:A retrospective collection of 479 clinical isolates of Cryptococcus neoformans was conducted by the East China Invasive Fungal Infection Group (ECIFIG) from January 1, 2017 to December 31, 2022. Mass spectrometry and gene sequencing were used for identification. A unified drug susceptibility testing system was established in the fungal laboratories across three sub centers in Shanghai, Jiangxi, and Jiangsu provinces. Drug susceptibility testings of Cryptococcus neoformans were independently completed in each center after passing consistency evaluation. Epidemiological breakpoints were established against fluconazole, voriconazole, amphotericin B, 5-fluorocytosine, isaconazole, posaconazole and itraconazole following the principles and procedures of the Clinical and Laboratory Standards Institute (CLSI) M57. Results:External consistency evaluation revealed that the minimum inhibitory concentration values ??for all drugs in each center did not differ by more than one dilution gradient. A new ECV type of Cryptococcus neoformans in East China was established, including fluconazole 16 mg/L, voriconazole 0.12 mg/L, amphotericin B 1 mg/L, 5-fluorocytosine 8 mg/L, isavuconazole 0.12 mg/L, posaconazole 0.5 mg/L, and itraconazole 0.5 mg/L. Conclusion:This study preliminarily revealed the drug susceptibility characteristics of clinical Cryptococcus neoformans in East China and established the ECVs for antifungal drugs against Cryptococcus neoformans in the region.

Objective To observe the value of FOLFOX-hepatic arterial infusion chemotherapy(HAIC)combined with programmed cell death receptor-1(PD-1)inhibitor+targeted drug for treating China liver cancer staging(CNLC)stageⅢa hepatocellular carcinoma(HCC).Methods Sixty-one patients with CNLC stage Ⅲa HCC who underwent PD-1 inhibitor+targeted drug treatment were retrospectively enrolled and divided into observation group(n=30)and control group(n=31)based on whether received FOLFOX-HAIC treatment or not.The general information,treatment strategy,adverse reactions and therapeutic effects were compared between groups,and the value of treatment strategy in observation group was analyzed.Results No significant difference of general information nor PD-1 inhibitor+targeted drug strategy was found between groups(both P＞0.05).Among 1-2 grade adverse reactions,the incidence of nausea,vomiting and abdominal pain in observation group were higher than those in control group(both P＜0.05),while no significant difference of the other 1-2 grade nor 3 grade adverse reactions was observed(all P＞0.05).The objective response rate(ORR),progression free survival(PFS)and overall survival(OS)of observation group were all higher than those of control group(all P＜0.05).Conclusion FOLFOX-HAIC combined with PD-1 inhibitor+targeted drug was more effective for treating CNLC stage Ⅲa HCC with acceptable safety.

Objective:To investigate effect of Mycobacterium tuberculosis BCG-infected macrophages on damage and repair of renal tubular epithelial cells during development of renal tuberculosis.Methods:A co-culture model of BCG-infected M0 macrophages(upper chamber)and HK-2 cells(lower chamber)was established by Transwell,and THP-1 human monocyte macrophages were induced by 100 ng/ml phorbol ester(PMA)24 h to become M0 macrophages,and BCG infection cell model was established.Total cell protein was collected at 12 h and 24 h of infection,respectively.Western blot was used to detect expressions of M1 macrophage marker CD86 and M2 macrophage marker CD206 protein.M1 macrophage polarization marker cytokines IL-6 and TNF-α and M2 macrophage polarization marker cytokine TGF-β expressions in cell culture supernatant were detected by ELISA;experiment was divided into HK-2 group,BCG+HK-2 group,BCG+M0+HK-2 group and M0+HK-2 group,CCK-8 was used to detect viability of HK-2 cells in each group,and Hoechst test was used to detect HK-2 cells apoptosis in each group.Epithelial cell marker E-cadhren and fibroblast markerα-SMA expressions in HK-2 cells of each group were detected by Western blot.Results:After BCG infection of M0 macrophages,M1 macrophage viability was higher than 24 h at 12 h(P<0.05),and M2 macrophage was higher than 12 h at 24 h(P<0.05).After two cells co-culture,HK-2 cell viability was higher than 12 h at 24 h(P<0.001),apoptosis level was higher than 24 h at 12 h,epithelial cell marker protein E-cadherin protein level was higher than 12 h at 24 h(P<0.001),fibroblast level of cell marker protein α-SMA protein at 12 h was higher than that at 24 h(P<0.01).Conclusion:During development of renal tuberculosis,early BCG-infected macrophages may promote inflammatory injury of renal tubular epithelial cells through M1-type polarization;with prolongation of infec-tion time,they may repair renal tubular epithelial cells through M2-type polarization and plays an important protective role.

Objective To observe the impact of ultrasonic image quality on the consistency of artificial intelligence(Al)assisted diagnosis system and manual measurements of biological indicators of developmental dysplasia of hip(DDH).Methods Hip ultrasonic data of 75 DDH and 345 non-DDH children were retrospectively analyzed,and the quality of ultrasonic images were subjectively scored.An evaluation model of ultrasonic image quality was constructed based on 140 ultrasonic images acquired from 140 cases(group A,containing 25 DDH and 115 non-DDH)using entropy weighting method,the weight of anatomic structures and impact factors related to DDH were obtained.The comprehensive image quality scores of other ultrasonic images acquired from 280 cases(group B,including 50 DDH and 230 non-DDH)were calculated,and the images in group B were classified into grade A,B and C in descending order.The consistency of AI and manual measurements of DDH biological indicators in group B was assessed.Results The weight of each anatomic structure and impact factors of DDH obtained with the model were as follows:The lower edge of iliac branch＞ilium＞glenoid labrum＞bony margin＞femoral head＞motion artifacts.In group B,grade A was observed in 67(9 DDH and 58 non-DDH),grade B was found in 160(26 DDH and 134 non-DDH),while grade C was noticed in 53(15 DDH and 38 non DDH)images.Except for β,femoral head coverage(FHC)and femoral head length diameter,the consistencies between AI and manual measurements of other indicators of DDH were grade A＞B＞C.In group B,AI and manual measurements were more consistent in DDH than in non-DDH cases.Conclusion Ultrasonic image quality affected the consistency between AI and manual measurements of biological indicators of DDH.When image quality was not good enough,further attention should be paid to measurement of FHC and sizes of femoral head.

Objective To construct a pelvic floor muscle training program for patients undergoing radical prostatectomy,and to provide a reference for clinical practice.Methods The evidence related to pelvic floor muscle training in patients undergoing radical prostatectomy was systematically searched and the quality was evaluated.The draft of pelvic floor muscle training program for patients undergoing radical prostatectomy was constructed based on the KAP theory and it was demonstrated and revised by expert meetings.From February to March 2023,Delphi method was used to determine the final scheme.37 patients were selected as the control group and 38 patients as the experimental group to implement the scheme and evaluate the application effect.Results 2 rounds of Delphi consultations were conducted among 17 experts,and the recovery rate of the questionnaire was 100％.The expert authority coefficient was 0.89.The Kendall harmony coefficients of the importance and feasibility of the second round of consultation were 0.270 and 0.209(P＜0.001).The coefficient of variation of importance and feasibility of items were 0～0.18 and 0～0.20.The final program included 3 first-level items,8 second-level items and 29 third-level items.1 month after surgery,there was no significant difference in urinary incontinence score(P=0.242)and there was significant difference in pelvic floor muscle training compliance(P=0.011)between 2 groups.Conclusion The program was applied preliminary in clinical practice and it was confirmed with scientific and practical meaning,so it can provide a reference for clinical nursing.