Explore the vast range of titles available.

Objectives Non-suicidal self-injury (NSSI) exhibits a high prevalence among adolescents. It is common for adolescents to employ multiple methods of NSSI, and these behaviors can manifest in diverse combinations. This study employs latent class analysis (LCA) to identify subgroups of adolescents based on the methods of NSSI and investigates the association between peripheral plasma cytokine levels and the identified NSSI patterns. Methods The research enrolled 405 outpatient adolescents, ranging in age from 12 to 18 years, who had exhibited NSSI behavior. These participants completed the Adolescent Non-suicidal Self-Injury Behavior Questionnaire (ANSAQ) and assessments of plasma cytokine levels. Latent class indicators consisted of 12 NSSI variables. Logistic regression analysis was employed to examine the associations between the identified classes and the related cytokines. Results LCA results supported a three-class model, categorizing participants into multiple methods group (24.20%), moderate methods group (43.70%), and mild/singular method group (32.10%). Further multinomial logistic regression analysis revealed that individuals with higher levels of interleukin-2 (IL-2) and interleukin-10 (IL-10) were more likely to be classified into the multiple-methods group compared to those in the mild/singular-method group (OR = 1.233 for IL-2; OR = 1.634 for IL-10). Additionally, individuals with elevated IL-10 levels were more likely to be classified into the multiple-methods group compared to those in the moderate-methods group (OR = 1.454). Furthermore, relative to individuals in the mild/singular-method group, those with higher IL-2 levels were more likely to belong to the moderate-methods group (OR = 1.207). These findings suggest a significant association between IL-2 and IL-10 levels and the severity of NSSI behaviors. Conclusion The classification of adolescents based on NSSI methods indicates that elevated levels of IL-2 and IL-10 increase the risk of engaging in NSSI involving multiple methods in adolescents. This has potential implications for understanding risk factors and developing targeted prevention and treatment strategies.

Background Estrogen receptor β (ERβ) has been reported to play an anti-cancer role in breast cancer, but the regulatory mechanism by which ERβ exerts this effect is not clear. Claudin-6 (CLDN6), a tight junction protein, acts as a tumor suppressor gene in breast cancer. Our previous studies have found that 17β-estradiol (E2) induces CLDN6 expression and inhibits MCF-7 cell migration and invasion, but the underlying molecular mechanisms are still unclear. In this study, we aimed to investigate the role of ERβ in this process and the regulatory mechanisms involved. Methods Polymerase chain reaction (PCR) and western blot were used to characterize the effect of E2 on the expression of CLDN6 in breast cancer cells. Chromatin immunoprecipitation (ChIP) assays were carried out to confirm the interaction between ERβ and CLDN6. Dual luciferase reporter assays were used to detect the regulatory role of ERβ on the promoter activity of CLDN6. Wound healing and Transwell assays were used to examine the migration and invasion of breast cancer cells. Western blot, immunofluorescence and transmission electron microscopy (TEM) were performed to detect autophagy. Xenograft mouse models were used to explore the regulatory effect of the CLDN6-beclin1 axis on breast cancer metastasis. Immunohistochemistry (IHC) was used to detect ERβ/CLDN6/beclin1 expression in breast cancer patient samples. Results Here, E2 upregulated the expression of CLDN6, which was mediated by ERβ. ERβ regulated CLDN6 expression at the transcriptional level. ERβ inhibited the migration and invasion of breast cancer cells through CLDN6. Interestingly, this effect was associated with CLDN6-induced autophagy. CLDN6 positively regulated the expression of beclin1, which is a key regulator of autophagy. Beclin1 knockdown reversed CLDN6-induced autophagy and the inhibitory effect of CLDN6 on breast cancer metastasis. Moreover, ERβ and CLDN6 were positively correlated, and the expression of CLDN6 was positively correlated with beclin1 in breast cancer tissues. Conclusion Overall, this is the first study to demonstrate that the inhibitory effect of ERβ on the migration and invasion of breast cancer cells was mediated by CLDN6, which induced the beclin1-dependent autophagic cascade.

Hashimoto’s thyroiditis (HT) is an autoimmune disease, characterized by abnormal elevation in thyroid peroxidase antibody (TPO-Ab) and/or thyroglobulin antibody (TG-Ab). Patients have multiple symptoms despite adequate hormone substitution. In the present study, we aimed to quantify the relationship between thyroid antibodies and multiple symptoms, inflammation and health-related life quality. A total of 108 HT patients with clinical euthyroid status and 57 heathy controls were recruited. Clinical parameters were determined by laboratory examination, and the symptoms burden and life quality were obtained by a Hashimoto’s Thyroiditis Symptom Questionnaire and a SF-36 Questionnaire, respectively. Compared with healthy controls, multiple extrathyroidal symptoms were significantly more serious in HT patients despite euthyroid status, mainly including that related to digestive system (abdominal distension, constipation and diarrhea), endocrine system (chilliness, gain weight and facial edema), neuropsychiatric system (forgetfulness, anxiety, depressed, fatigue, insomnia, irritability, and indifferent) and mucocutaneous system (dry skin, pruritus, and hair loss). Furthermore, serum TPO-Ab and TG-Ab were both inversely correlated with health-related life quality of general health and vitality parameters, and positively correlated with pro-inflammatory factors of TNF-α and IFN-γ, as well as severity of abdominal distension, diarrhea, chilliness, forgetfulness and fatigue. Moreover, TG-Ab level was positively associated with depressed, insomnia and indifferent. HT patients suffered from a variety of symptoms, and the elevated thyroid antibodies were inversely associated with health-related life quality and positively associated with inflammation and multiple extrathyroidal symptoms.

Lung cancer is one of the most deadly diseases around the world representing about 26% of all cancers in 2017. The five-year cure rate is only 18% despite great progress in recent diagnosis and treatment. Before diagnosis, lung nodule classification is a key step, especially since automatic classification can help clinicians by providing a valuable opinion. Modern computer vision and machine learning technologies allow very fast and reliable CT image classification. This research area has become very hot for its high efficiency and labor saving. The paper aims to draw a systematic review of the state of the art of automatic classification of lung nodules. This research paper covers published works selected from the Web of Science, IEEEXplore, and DBLP databases up to June 2018. Each paper is critically reviewed based on objective, methodology, research dataset, and performance evaluation. Mainstream algorithms are conveyed and generic structures are summarized. Our work reveals that lung nodule classification based on deep learning becomes dominant for its excellent performance. It is concluded that the consistency of the research objective and integration of data deserves more attention. Moreover, collaborative works among developers, clinicians, and other parties should be strengthened.

Background As a breast cancer suppressor gene, CLDN6 overexpression was found to inhibit breast cancer metastasis in our previous studies, but the specific mechanism remains unclear. This study aimed to clarify the role and mechanism of CLDN6 in inhibiting breast cancer metastasis. Methods Western blot, immunofluorescence and transmission electron microscopy were performed to detect autophagy. Wound healing, transwell assays and lung metastasis mouse models were used to examine breast cancer metastasis. Phalloidin staining and immunofluorescent staining were used to observe actin cytoskeleton. mRNA seq, RT-PCR, western blot, chromatin immunoprecipitation, dual luciferase reporter assay, co-immunoprecipitation and immunofluorescence were performed to define the molecular mechanism. The expression levels and clinical implication of CLDN6, WIP and LC3 in breast cancer tissues were evaluated using immunohistochemistry. Results We demonstrated that CLDN6 inhibited breast cancer metastasis through autophagy in vitro and vivo. We unraveled a novel mechanism that CLDN6 regulated autophagy via WIP-dependent actin cytoskeleton assembly. Through its PDZ-binding motif, overexpressed CLDN6 interacted with JNK and upregulated JNK/c-Jun pathway. C-Jun promoted WIP expression at the transcriptional level. Notably, we observed c-Jun transcriptionally upregulated CLDN6 expression, and there was a positive feedback loop between CLDN6 and JNK/c-Jun. Finally, we found that CLDN6, WIP and LC3 expression correlated with each other, and WIP expression was significantly associated with lymph node metastasis of breast cancer patients. Conclusions The data provide a new insight into the inhibitory effects of CLDN6-mediated autophagy on breast cancer metastasis, and revealed the new mechanism of CLDN6 regulating autophagy through WIP-dependent actin cytoskeleton. Our findings enrich the theoretical basis for CLDN6 as a potential biomarker for breast cancer diagnosis and therapy.

Background Glechoma longituba , recognized as a medicinal plant, provides valuable pharmaceutical raw materials for treating various diseases. Saline-alkali stress may effectively enhance the medicinal quality of G. longituba by promoting the synthesis of secondary metabolites. To investigate the changes in the primary medicinal components of G. longituba under saline-alkali stress and improve the quality of medicinal materials, Na 2 CO 3 was applied to induce short-term stress under different conditions and the biomass, physiologically active substances and primary medicinal components of G. longituba were measured in this study. Results Under alkaline salt stress, the activities of catalase (CAT), superoxide dismutase (SOD), peroxidase (POD), and ascorbate peroxidase (APX) were elevated in G. longituba , accompanied by increased accumulation of proline (Pro) and malondialdehyde (MDA). Furthermore, analysis of the medicinal constituents revealed that G. longituba produced the highest levels of soluble sugars, flavonoids, ursolic acid, and oleanolic acid under 0.6% Na 2 CO 3 stress for 48 h, 0.2% Na 2 CO 3 stress for 72 h, 0.4% Na 2 CO 3 stress for 12 h, and 0.4% Na 2 CO 3 stress for 8 h, respectively. Conclusions Short-term Na 2 CO 3 stress enhances the synthesis of medicinal components in G. longituba . By manipulating stress conditions, the production of various medicinal substances could be optimized. This approach may serve as a basis for the targeted cultivation of G. longituba , offering potential applications in the treatment of diverse diseases.

Background Vulvar and vaginal melanoma (VuM & VaM) is a rare gynecologic malignancy with high mortality but low effectiveness to checkpoint immunotherapy compared to cutaneous melanoma. This article aims to elucidate the role of the disordered immune microenvironment in cancer progression in VuM. Methods At first, this article applied single-cell RNA sequencing (scRNA-seq) to the VuM obtained from a 68-year-old female patient, and constructed a single-cell atlas of VuM consist of 12,243 single cells. Then this article explores the genomic complexity and core signal channel in VuM microenvironment. Results This article provides new insights about the pathogenesis of VuM based on single-cell resolution data. It was found that the activation of CD8 + T cell contributed to induce tumor angiogenesis and immune escape, and the activation of the antigen-presenting molecular function participated in melanoma metastasis. Conclusion This article provided new insights into underlining VuM molecular regulation and potential signaling involved in immunotherapy, which would benefit the clinical practice and administration.

Background Acute poisoning is a growing challenge to emergency departments (EDs). Our aim is to investigate the recent epidemiological and clinical characteristics of patients with acute poisoning and the impact of the COVID-19 pandemic on the disease pattern. Methods This retrospective study included patients with acute poisoning through the medical records from EDs at three tertiary hospitals in Jiangsu Province, China, from January 2017 to April 2023. Their epidemiological and clinical profiles were investigated and analyzed under each category of poisoning. In parallel, the enrolled patients were also divided into the pre-COVID (January 2017-December 2019) and amid-COVID (January 2020-April 2023) groups to derive the differences between them. Results For 1,876 patients enrolled, their mean age was 49.5 ± 21.1 years, where the female-to-male ratio (FMR) was 1.1. The most common toxic substances were pesticides (31.6%), drugs (31.1%), and alcohol (17.1%). Predominantly, acute poisoning occurred at domiciliary sites (76.4%) and with intention (52.9%). Inpatients were much older than outpatients (52.0 ± 21.9 years versus 47.6 ± 20.2 years). Amid the COVID-19 pandemic, the patients with acute poisoning became much younger, and the cases of alcohol poisoning became more frequent. With the increasing cases of acute poisoning, the patient admissions to hospital and intensive care unit (ICU) were both decreased. Conclusion Epidemiological results revealed that the acute poisoning by pesticides and drugs occurred primarily at home and through suicidal attempts. The most susceptible age to a given poisoning may differ, but a working-age group remains the largest population of intentionally or unintentionally poisoned victims. The impact of COVID-19 pandemic on acute poisoning was prominent, which significantly altered the epidemiological and clinical characteristics.

Electroreduction of CO 2 to formic acid (ERCF) based on gas diffusion electrodes (GDEs) has been considered as a promising method to convert CO 2 into value-added chemicals. However, current GDEs for ERCF suffer from low efficiency of electron transfer. In this work, a novel Sn-based gas diffusion electrode (ESGDE) is prepared by electrodepositing Sn on Nafion-bonded carbon black as catalyst layer to enhance electron transfer and thus the efficiency of ERCF. The highest Faraday efficiency (73.01 ± 3.42%), current density (34.21 ± 1.14 mA cm −2 ) and production rate (1772.81 ± 59.08 μmol m −2 s −1 ) of formic acid are obtained by using the ESGDE with electrodeposition time of 90 s in 0.5 M KHCO 3 solution, which are one of the highest values obtained from Sn-based gas diffusion electrodes under similar conditions. The notable efficiency of ERCF achieved here should be attributed to the enhancement in the reactants transfer as well as the three-dimensional reaction zone. This work will be helpful for the industrial application of GDEs in EFCF.

With rapid urbanization, the increasing density of buildings in urban areas has forced us to consider interactions between adjacent structures. However, most studies have focused on fixed foundations, neglecting soil-structure interactions (SSI). This paper addresses this gap by investigating the optimization of two adjacent structures using electromagnetic inerter dampers (EMID) under SSI. The EMID system, equipped with energy harvesting capabilities, was optimized using the Monte Carlo search method, with results demonstrating a significant reduction in dynamic response. Specifically, frequency and time domain analyses show that the EMID system reduces peak displacement and acceleration by up to 41.23% compared to uncontrolled structures. Additionally, the system efficiently converts seismic energy into electrical energy, with energy harvesting reaching peak values under intense seismic waves, such as those observed in Mexico City earthquake conditions. This innovative system not only enhances seismic performance, particularly in soft soil conditions, but also offers energy resilience by supplying emergency power, thus highlighting its potential for sustainable urban infrastructure.