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STIP1 homology and U-Box containing protein 1 (STUB1) plays a key role in maintaining cell health during stress and aging. Recent evidence suggested STUB1 also helps regulate immunity with the potential of clearing malignant cells. Indeed, we and others have shown that STUB1 is a pivotal negative regulator of interferon gamma sensing – a process critical to the immunosurveillance of tumors and pathogens. Thus far, investigation of STUB1’s role relies mostly on genetic approaches as pharmacological inhibitors of this protein are lacking. Identification of a STUB1 tool compound is important as it would allow therapeutically relevant target validation in a broader sense. Accordingly, we leveraged phage display and computational modeling to identify and refine STUB1 binders. Screening of >10E9 macrocyclic peptides resulted in several conserved motifs as well as structurally diverse leads. Co-crystal structure of the peptide hit and STUB1 has enabled us to employ structure-based in silico design for further optimization. Of the modifications employed, replacing the hydrophilic solvent-exposed region of the macrocyclic peptides with a hydrophobic scaffold improved cellular permeability, while the binding conformation was maintained. Further substitution of the permeability-limiting terminal aspartic acid with a tetrazole bioisostere retained the binding to certain extent while improving permeability, suggesting a path forward. The current lead, although not optimal for cellular study, provides a valuable template for further development into selective tool compounds for STUB1 to enable target validation.

Little is known about the association between coronavirus disease 2019 [COVID-19] and autoimmune diseases, especially for systemic lupus erythematosus [SLE]. SLE patients meet with a throng of questions during the pandemic, including minimize the risk of infection, the complex pathological features and cytokine profiles, diagnosis and treatment, rational choice of drugs and vaccine, good nursing and psychological supervision, etc. In this study, we review and discuss the multifaceted effects of the COVID-19 pandemic on patients living with SLE using the available literatures. Cross-talk was existed in implicated inflammatory pathways/mechanisms between SLE and SARS-CoV-2 infection, and SARS-CoV-2 infection shares similarities with SLE in clinical characters and immuno-inflammatory responses. Current epidemiological data inadequate assess the risk and severity of COVID-19 in SLE. More evidences supported that HCQ and CQ unable prevent COVID-19. During the pandemic, patients with SLE had a higher rate of hospitalization. Vaccination helps to reduce the risk of infection. Several therapies for patients with SLE infected COVID-19 were discussed. The cases in the study can provide meaningful information for clinical diagnosis and management. Our mainly aim is to help the prevention and treatment of patients with SLE infected COVID-19.

Stapled α-helical peptides can bind to and modulate historically intractable targets while addressing the traditional liabilities associated with peptide therapeutics. However, their pipeline advancement has been impeded by the challenges of identifying peptides with sufficient cellular uptake to engage the target protein while lacking off-target toxicities. Here, we advance the field to arrive at a workflow for identifying advanced stapled peptide lead molecules with on-target in vivo activity with no off-target cell proliferation effects. Specifically, we generated a >350-member library based on ATSP-7041, a stapled peptide Mdm2(X) antagonist with validated on-target cellular effects but with significant off-target activity. Key insights from library analysis include 1) a clear correlation between lipophilicity and permeability, 2) removal of positive charge to avoid off-target toxicities, 3) judicious placement of anionic residues to enhance peptide solubility/behavior, 4) optimization of C-terminal length and helicity to enhance cell activity, 5) optimization of staple type/number to avoid polypharmacology. Incorporation of one or more of these attributes led to molecules with improved in vitro and in vivo activities (up to a >292x improved cell proliferation EC50). A subset of peptides were devoid of off-target cell proliferation effects in cell lines lacking wild-type p53 protein (up to a >3800x on-target index). This latter improvement contrasted with clinical Mdm2 antagonistic molecules. Application of these ‘design rules’ to a distinct Mdm2(X) peptide series resulted in rapid improvement in cellular activity (>150x) and removal of off-target toxicities. Overall, the detailed workflow outlined here should help researchers identify stapled α-helical peptides for therapeutic impact.

Four flavonoid glycosides containing coumaroyl or feruloyl groups were isolated from the male flowers of Ginkgo biloba L., and compounds 3 and 4 were identified as novel compounds. The inhibitory activities against α-glucosidase were investigated by docking studies, in vitro assays and kinetic studies. The docking results showed that all compounds mainly formed hydrogen-bond and π-π-stacking interactions with α-glucosidase. Compound 4 had the lowest binding energy and maximum number of hydrogen bonds. Subsequently, the in vitro assays showed that compound 4 exhibited the strongest inhibitory potency. Finally, the kinetic studies indicated the inhibitory mode of compounds 1–4 against α-glucosidase were mixed types of competitive and non-competitive. Together, these findings suggested that the isolated flavonoid glycosides in this study, especially compound 4, have potential as α-glucosidase inhibitors.

Cuie Gao,1 Lan Ge,1 Dewei Chen,2 Mengjie Zhang,2 Li Zhao,2 Wenying Liu,1 Shuguang Chen,1 Juan Wang,1 Cunjian Zhou,1 Xingwang Zhao,1 Shifei Li,1 Zhiqiang Song,1 Jian Li1 1Department of Dermatology, Southwest Hospital, Army Medical University, Chongqing, 400038, People’s Republic of China; 2Department of Pathophysiology, Army Medical University, Chongqing, 400038, People’s Republic of ChinaCorrespondence: Jian Li; Zhiqiang SongDepartment of Dermatology, Southwest Hospital, Army Medical University, Chongqing, 400038, People’s Republic of ChinaTel +86 23 68754290Fax +86 23 68755290Email leejian860@126.com; drsongzq@hotmail.comPurpose: Monocyte subsets, including classical, intermediate and non-classical monocytes, are involved in the pathogenesis of inflammatory or autoimmune diseases. The pathogenic role of monocytes in the peripheral blood mononuclear cells (PBMCs) of patients with rosacea remains unclear. This study aimed to assess frequencies of monocyte subsets in PBMCs from rosacea patients before and after clinical treatment.Patients and Methods: We applied flow cytometry to examine frequencies of monocyte subsets in 116 patients with rosacea, while patients with 26 systemic lupus erythematosus (SLE), 28 acne and 42 normal healthy subjects without skin problems (HC) were recruited as controls. Expression of C–C chemokine receptor 2 (CCR2) on monocytes and plasma levels of CC-chemokine ligand 2 (CCL2), high mobility group box-1 (HMGB-1), interleukin-1 beta (IL-1β) and tumor necrosis factor alpha (TNF-α) were measured in HC and rosacea patients before and after treatment.Results: The frequency of classical monocytes, but not intermediate or non-classical monocytes, was higher in rosacea as compared with HC, which decreased after treatment. Frequencies of monocyte subsets showed no gender difference, while increased with age in patients but not in HC. Frequencies of classical monocytes in patients with erythematotelangiectatic rosacea (ETR) and ETR-papulopustular rosacea (PPR) overlap were significantly higher than HC or patients with only PPR or phymatous rosacea (PhR). There was a significant higher expression of CCR2 in classical monocytes, with higher plasma levels of CCL2, HMGB-1, IL-1β and TNF-α in patients than in HC, which all significantly decreased after treatment.Conclusion: Our data indicated a possible association between abnormal classical monocytes frequencies and rosacea.Keywords: monocytes, classical monocytes, CCR2, rosacea

Macrocyclic peptides have the potential to address intracellular protein–protein interactions (PPIs) of high value therapeutic targets that have proven largely intractable to small molecules. Here, we report broadly applicable lessons for applying this modality to intracellular targets and specifically for advancing chemical matter to address KRAS, a protein that represents the most common oncogene in human lung, colorectal and pancreatic cancers yet is one of the most challenging targets in human disease. Specifically, we focused on KRpep-2d, an arginine-rich KRAS-binding peptide with a disulfide-mediated macrocyclic linkage and a protease-sensitive backbone. These latter redox and proteolytic labilities obviated cellular activity. Extensive structure–activity relationship studies involving macrocyclic linker replacement, stereochemical inversion, and backbone α-methylation, gave a peptide with on-target cellular activity. However, we uncovered an important generic insight – the arginine-dependent cell entry mechanism limited its therapeutic potential. In particular, we observed a strong correlation between net positive charge and histamine release in an ex vivo assay, thus making this series unsuitable for advancement due to the potentially fatal consequences of mast cell degranulation. This observation should signal to researchers that cationic-mediated cell entry – an approach that has yet to succeed in the clinic despite a long history of attempts – carries significant therapy-limiting safety liabilities. Nonetheless, the cell-active molecules identified here validate a unique inhibitory epitope on KRAS and thus provide valuable molecular templates for the development of therapeutics that are desperately needed to address KRAS-driven cancers – some of the most treatment-resistant human malignancies., Targeting undruggable intracellular proteins with peptides: novel on-target macrocyclic peptide inhibitors of KRAS with broad inhibition of proliferation of multiple KRAS-dependent cancer cell lines.

Bacterial vaginosis (BV) is a common infection of the lower genital tract with a vaginal microbiome dysbiosis caused by decreasing of lactobacilli. Previous studies suggested that supplementation with liveLactobacillusmay benefit the recovery of BV, while the outcomes vary in people from different regions. Herein, we aim to evaluate the effectiveness of oral Chinese-originLactobacilluswith adjuvant metronidazole (MET) on treating Chinese BV patients. In total, 67 Chinese women with BV were enrolled in this parallel controlled trial and randomly assigned to two study groups: a control group treated with MET vaginal suppositories for 7 days and a probiotic group treated with oralLactobacillus gasseriTM13 andLactobacillus crispatusLG55 as an adjuvant to MET for 30 days. By comparing the participants with Nugent scores ≥ 7 and < 7 on days 14, 30, and 90, we found that oral administration of probiotics did not improve BV cure rates (57.14% and 67.74% at day 14, 57.14% and 58.06% at day 30, 32.14% and 48.39% at day 90 for probiotic and control group respectively). However, the probiotics were effective in restoring vaginal health after cure by showing higher proportion of participants with Nugent scores < 4 in the probiotic group compared to the control group (87.50% and 71.43% on day 14, 93.75% and 88.89% on day 30, and 77.78% and 66.67% on day 90). The relative abundance of the probiotic strains was significantly increased in the gut microbiome of the probiotic group compared to the control group at day 14, but no significance was detected after 30 and 90 days. Also, the probiotics were not detected in vaginal microbiome, suggesting thatL. gasseriTM13 andL. crispatusLG55 mainly acted through the gut. A higher abundance ofPrevotella timonensisat baseline was significantly associated with long-term cure failure of BV and greatly contributed to the enrichment of the lipid IVA synthesis pathway, which could aggravate inflammation response. To sum up,L. gasseriTM13 andL. crispatusLG55 can restore the vaginal health of patients recovering from BV, and individualized intervention mode should be developed to improve BV cure rates.

Vaginitis is a syndrome characterized by not only the invasion of pathogens, but also the lack ofLactobacillus.Lactobacillussupplementation emerged as an innovative therapy for vaginitis which targeted the vaginal microbiota in recent years. However, limited live biotherapeutic products were explicitly marketed for this. The aim of our study is to characterize the potentialLactobacilluscandidates for enhancing the treatment of vaginitis. Initially, 98Lactobacillusisolates with whole genome were selected into the candidate pool. The genomic pathways involved in the biosynthesis of probiotic metabolites, adhering ability and acid/bile resistance, as well as sequences of antibiotic resistance genes, plasmids, transposons, viruses, and prophages were annotated. A scoring model was then established based on genomic analysis for ranking the performance of the strains, and the top-performing ones were applied toin vitrotests for sub-screening. As a result, two candidates were selected, and their probiotic abilities were verified with three reference strains.L. crispatusLG55-27 andL. gasseriTM13-16 presented outstanding ability to produce D-lactate and adhere to human vaginal epithelial cells. They also showed higher antimicrobial activity againstGardnerella vaginalis, Escherichia coli, Candida albicans, Staphylococcus aureusandPseudomonas aeruginosathan control ones. Their acid/bile-resistant ability suggested the potential of oral supplementation. Strain LG55-27 and TM13-16 also display improved effects on pH changes, and the production of inflammation cytokines in BV model rats. This study provided a probiotic dosage recommendation for vaginitis treatment by demonstrating an effective probiotic screening pipeline based on genome sequences,in vitrotests andin vivoBV model experiment.

Artificial intelligence (AI) offers the potential for the development of e-textiles that give wearers a smart and intuitive experience. An emerging challenge in intelligent materials design is hand gesture recognition textiles. Most current research focuses on number gesture recognition via smart gloves, so there is a gap in research that studies contact-less number gesture recognition textiles via computer vision. Meanwhile, there is lack of exploration on the integration of illuminating function and number gesture recognition textiles to improve interactivity by real-time visualizing detection results. In this research, a novel interactive illuminating textile with a touch-less number gesture recognition function has been designed and fabricated by using an open-source AI model. It is used in sync with a polymeric optical fiber textile with illuminative features. The textile is color-changing, controlled by the system's mid-air interactive number gesture recognition capability and has a woven stripe pattern and a double-layer weave structure with open pockets to facilitate integration of the system's components. Also described here is a novel design process that permits textile design and intelligent technology to integrate seamlessly and in synchronization, so that design in effect mediates continuously between the physical textile and the intangible technology. Moreover, this design method serves as a reference for the integration of open-source intelligent hardware and software into e-textiles for enhancement of the intuitive function and value via economy of labor.

Atopic dermatitis (AD) is a relapsing inflammatory skin disorder, with characteristic T helper 2 (Th2)-based immune dysregulation and epidermal barrier function defect. In AD, keratinocyte plays a critical role in maintaining skin integrity and immune homeostasis. Interleukin (IL)-19 is a member of the IL-10 cytokine family. It can be secreted by and act on keratinocytes. Although it has been demonstrated that increased IL-19 in AD patients’ lesions and serum is positively correlated with the severity of AD, the role of IL-19 in the regulation of the epidermal barrier and immune homeostasis of keratinocytes remains unclear. Thus, we aim to investigate the effect of IL-19 on the production of epidermal barrier related proteins and proinflammatory cytokines in keratinocytes, and the synergistic effect of IL-19 with IL-4/IL-13 in vitro experiment. In this study, barrier related proteins (filaggrin/FLG, loricrin/LOR, keratin-10), epithelium-derived cytokines (thymic stromal lymphopoietin/TSLP, IL-33, IL-25), IL-19 and the phosphorylation level of STAT3 and STAT6 were measured in HaCaT cells by RT-PCR and/or western blot before and after stimulated with IL-4/IL-13 with or without different concentrations of IL-19. The changes of IL-19 levels in HaCaT cells after stimulation with house dust mite (HDM) or staphylococcal enterotoxin type B (SEB) were also examined. We found that IL-19 could promote the production of TSLP in keratinocytes, but reduce the expression levels of LOR and keratin-10. Meanwhile, IL-19 significantly enhanced the effects of IL-4/IL-13 on keratinocytes, including inducing the expression of IL-19 and epithelial derived cytokines and inhibiting the expression of barrier proteins. These enhanced effects were accompanied by increased phosphorylation of STAT3 and STAT6, but no change in the expression level of IL-4/13 receptor. In addition, HDM but not SEB can induce keratinocytes to secrete IL-19. Taken together, IL-19 can enhance the effect of IL-4 / IL-13 on keratinocytes in vitro, and may play an important role in the pathogenesis and progression of AD.

PKR, also known as EIF2AK2, is an IFN-stimulated gene (ISG) and shows a higher expression in probands with systemic lupus erythematosus (SLE), which is likely responsible for the impaired translational and proliferative responses to mitogens in T cells from SLE patients. In this study, we overexpressed EIF2AK2 in HeLa cells to study EIF2AK2-regulated genes using RNA-seq technology, followed by bioinformatic analysis of target genes of EIF2AK2-regulated transcriptional factors (TFs). Overexpression of EIF2AK2 promotes HeLa cell apoptosis. EIF2AK2 selectively represses the transcription of histone protein genes associated with SLE, immune response genes and TF genes, which was validated by RT-qPCR experiments. Analysis of motifs overrepresented in the promoter regions of EIF2AK2-regulated genes revealed eighteen EIF2AK2-regulated TFs involved in establishing the EIF2AK2 network. Eight out of these predicted EIF2AK2-regulated TFs were further verified by RT-qPCR selectively in both HeLa and Jurkat cells, and most such as HEY2, TFEC, BATF2, GATA3 and ATF3 and FOXO6 are known to regulate immune response. Our results suggest that the dsRNA-dependent kinase EIF2AK2 selectively regulates the transcription of immune response and SLE-associated histone protein genes, and such a selectivity is likely to be operated by EIF2AK2-targeted TFs. The EIF2AK2-TFs axis potentially offers new therapeutic targets for counteracting immunological disease in the future.

A fluorescent porous organic polymer (FPOP) with strong fluorescence and tunable emission colors, was synthesized through a simple cost-effective method via Scholl coupling reaction. Experiments proved the stability and excellent detection and adsorption ability, and microporous nature of the material. Luminescence of FPOP was quenched when addition of nitroaromatic compounds. The properties along with large-scale and low-cost preparation make these FPOP potential candidates for fluorescence detection of nitroaromatic compounds. Additionally, FPOP shows higher adsorption capacity and rate than other reported adsorbents, and has the possibility of being an effective adsorbent for industrial usage. Moreover, a fluorescent test paper was further developed and is found to be sensitive to 10–8 M level, complete with a rapid response time and visual detection. This newly developed strategy may open up an avenue for exploring porous polymers, particularly those with a strong fluorescence, for the large-scale fabrication of FPOP for various advanced applications.

Lan Ge,1 Yaoying Li,1 Yaguang Wu,1 Ziwei Fan,2 Zhiqiang Song1 1Department of Dermatology, The First Affiliated Hospital of Army Medical University, Chongqing, People’s Republic of China; 2Lianren Digital Health Technology Co., LTD, Shanghai, People’s Republic of ChinaCorrespondence: Zhiqiang Song, Department of Dermatology, The First Affiliated Hospital of Army Medical University, No. 30, Gaotanyanzheng Street, Shapingba District, Chongqing, People’s Republic of China, Email songzhiq_cq@163.comIntroduction: Rosacea is a common chronic inflammatory disease occurring on the face, whose diagnosis is mainly based on symptoms and physical signs. Due to some overlap in symptoms and signs with other inflammatory skin diseases, young and inexperienced doctors often make misdiagnoses and missed diagnoses in clinical practices. We analyze the results of skin physiology and dermatoscopy using machine learning method and identify the characteristics of acne rosacea, which differentiate it from other common facial inflammatory skin diseases so as to improve the accuracy of clinical and differential diagnosis of rosacea.Methods: A total of 495 patients who were jointly diagnosed by two experienced doctors were included. Basic data, clinical symptoms, physiological skin detection, and dermatoscopy results were collected, and the clinical characteristics of rosacea and other common facial inflammatory diseases were summarized according to the descriptive analysis results. The model was established using a machine learning method and compared with the judgment results of young and inexperienced doctors to verify whether the model can improve the accuracy of clinical diagnosis and differential diagnosis of rosacea.Results: The proportion of yellow and red halos, vascular polygons, as well as follicular pustules, showed by dermatoscopy, and the melanin index in physiological skin detection revealed statistical significance in differentiating rosacea and other common facial inflammatory diseases (all P < 0.01). After adopting the machine learning, we found that GBM (Gradient Boosting Machine) algorithm was the best, and the error rate of this model in the validation set was 5.48%. In the final man-machine comparison, the accuracy of the GBM algorithm model for the classification of skin disease was significantly higher than that of young and inexperienced doctors.Conclusion: Dermatoscopy combined with machine learning can effectively improve the diagnosis and differential diagnosis accuracy of rosacea and other facial inflammatory skin diseases.Keywords: rosacea, dermatoscope, machine learning

Nanosurface energy transfer (NSET)-based sensors have been widely developed using various pairs of nanomaterials including gold nanoparticles (AuNPs) and quantum dots (QDs). However, a low signal to background ratio is one of the most important problems that researchers are continually trying to solve. Herein, we present a 6-mercaptohexanol (MCH) modified MCH/DNA-Au-QD sensor for the detection of nucleic acids and MUC1. Interestingly, an unexpected effect of MCH was found in enhancing the fluorescence recovery ratio, therefore yielding a higher signal to background ratio. Through further investigation, we perceive the enhancement as a result of lowering of the NSET efficiency between free DNA-AuNPs and free DNA-QDs, which arises from the stretching of adsorbed DNA on the surface of AuNPs. The employment of MCH endowed the sensor with a wider linear range from 5 nM to 120 nM and a relatively lower LOD of 1.19 nM in nucleic acid detection, outperforming the original DNA-Au-QD sensor. Furthermore, the application of the sensor can be further extended to MUC1 detection. This study offers a better understanding of the NSET process between QDs and AuNPs and also initiates a new approach for the performance optimization of analogous NSET-based sensors.

Background Bezoars can be found anywhere in the gastrointestinal tract. Esophageal bezoars are rare. Esophageal bezoars are classified as either primary or secondary. It is rarely reported that secondary esophageal bezoars caused by reverse migration from the stomach lead to acute esophageal obstruction. Guidelines recommend urgent upper endoscopy (within 24 h) for these impactions without complete esophageal obstruction and emergency endoscopy (within 6 h) for those with complete esophageal obstruction. Gastroscopy is regarded as the mainstay for the diagnosis and treatment of esophageal bezoars. Case summary A 59-year-old man was hospitalized due to nausea, vomiting and diarrhea for 2 d and sudden retrosternal pain and dysphagia for 10 h. He had a history of type 2 diabetes mellitus for 9 years. Computed tomography revealed dilated lower esophagus, thickening of the esophageal wall, a mass-like lesion with a flocculent high-density shadow and gas bubbles in the esophageal lumen. On gastroscopy, immovable brown bezoars were found in the lower esophagus, which led to esophageal obstruction. Endoscopic fragmentation was successful, and there were no complications. The symptoms of retrosternal pain and dysphagia disappeared after treatment. Mucosal superficial ulcers were observed in the lower esophagus. Multiple biopsy specimens from the lower esophagus revealed nonspecific findings. The patient remained asymptomatic, and follow-up gastroscopy 1 wk after endoscopic fragmentation showed no evidence of bezoars in the esophagus or the stomach. Conclusion Acute esophageal obstruction caused by bezoars reversed migration from the stomach is rare. Endoscopic fragmentation is safe, effective and minimally invasive and should be considered as the first-line therapeutic modality.

This paper introduces a weaving method to develop three-dimensional and stretchable polymeric optical fiber (POF) fabrics with double weave. It was discovered from the literature that the appearanc...

Excellent extraction ability and easy regeneration of the extractant are highly important for the recovery of acetic acid from water by solvent extraction. In this paper, the extraction capability ...

Populus euphratica is mainly distributed in desert environments with dry and hot climate in summer and cold in winter. Compared with other poplars, P. euphratica is more resistant to salt stress. It is critical to investigate the transcriptome and molecular basis of salt tolerance in order to uncover stress-related genes. In this study, salt-tolerant treatment of P. euphratica resulted in an increase in osmo-regulatory substances and recovery of antioxidant enzymes. To improve the mining efficiency of candidate genes, the analysis combining both the transcriptome WGCNA and the former GWAS results was selected, and a range of key regulatory factors with salt resistance were found. The PeERF1 gene was highly connected in the turquoise modules with significant differences in salt stress traits, and the expression levels were significantly different in each treatment. For further functional verification of PeERF1, we obtained stable overexpression and dominant suppression transgenic lines by transforming into Populus alba × Populusglandulosa. The growth and physiological characteristics of the PeERF1 overexpressed plants were better than that of the wild type under salt stress. Transcriptome analysis of leaves of transgenic lines and WT revealed that highly enriched GO terms in DEGs were associated with stress responses, including abiotic stimuli responses, chemical responses, and oxidative stress responses. The result is helpful for in-depth analysis of the salt tolerance mechanism of poplar. This work provides important genes for poplar breeding with salt tolerance.

A highly efficient

The trend is to compact powertrains to lower their cost, hence size impacting their multi-domain performance. In-wheel traction motors are more susceptible owing to the stringent volume and mass constraints. This paper analyzes the electromagnetic and the CFD cooling performance of a permanent magnet axial-flux traction motor. Therefore, speed-dependent electromagnetic losses are necessary for accurate thermal loads. Instead of the whole speed range, it is shown that two operating points are sufficient to characterize the motor cooling performance. Further reduction of CFD-thermal solving time is gained by leveraging the motor topology and the fast steady flow solver. As a result, three direct-cooling designs are analyzed. The teeth-wound stator coils ease the implementation of direct-cooling; permitting higher current-densities. To safeguard against permanent magnet degradation, segmentation and demagnetization analysis are included in electromagnetic analysis. Consequently, it is possible to ensure a motor’s availability irrespective of the drive-cycle, driver-behavior, and ambient conditions.

Objective: This study aimed to explore the influence of gratitude on the meaning of life of college students and the mediating effect of family function and peer relationships.Methods: A total of 1,049 college students (mean age: 18.59 ± 0.96 years) were investigated by gratitude scale, family function scale, peer relationship questionnaire, and meaning of life scale.Results: (1) Gratitude was positively correlated with meaning existence (r = 0.39, P < 0.05), meaning seeking (r = 0.23, P < 0.05), and peer relationship (r = 0.32, P < 0.05); meanwhile, it is also positively correlated with family function (r = 0.34, P < 0.05); (2) family function partially mediates the relationship between gratitude and meaning of life. Similarly, peer relationship partially mediates the relationship between gratitude and meaning of life.Conclusion: The mediating model showed that grateful individuals can better sense the meaning of life by perceiving good family function and good peer relationships.

Purpose The purpose of this paper is to develop an illuminated polymeric optical fibre (POF) garment – the LUMI jacket – with accessibility and wearability improvements. This paper demonstrates how wearable technology can be seamlessly integrated into daily life. Design/methodology/approach An interdisciplinary approach involving design and technological techniques was adopted. Both garment design approaches and textile technologies were used to optimise the performance of a POF jacket. A group of tactile sensors was developed to create an easy-to-access interactive function. A POF fabric sample and garment were washed and examined to prove that a POF garment could be made part of a domestic laundry routine. Findings As a result, an illuminated POF garment – the LUMI jacket with textile-based switches – was created. Compared with current POF garments, the LUMI jacket’s wearability and accessibility were highly improved. Originality/value This project explored an unobstructive POF-illuminated garment to address the functional and wearable barriers to adoption. The interaction between wearer and garment is accessible. Electronics and textile touch sensors were seamlessly integrated into garment. Washability of POF garment was proved. This research explores how e-textiles can fit into everyday life.

Gang Wang,1 Tian-Mei Si,2 Lingjiang Li3,4Yiru Fang,5 Chun-Xue Wang,6 Li-Na Wang,7 Kristin Hui Xian Tan,8 Anders Ettrup,9 Hanne-Lise Falgreen Eriksen,9 Si Luo,10 Lan Ge101Beijing An Ding Hospital, Capital Medical University, China National Clinical Research Center for Mental Disorders, Beijing, People’s Republic of China; 2Peking University Sixth Hospital & Peking University Institute of Mental Health, Beijing, 100191, People’s Republic of China; 3Key Laboratory of Mental Health, Ministry of Health (Peking University) &National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People’s Republic of China; 4The Second Xiangya Hospital of Central South University, Changsha, People’s Republic of China; 5Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China; 6Beijing Tian Tan Hospital, Department of Neuropsychiatry and Behavioral Neurology, Capital Medical University, National Clinical Research Center for Neurological Disease, Beijing, People’s Republic of China; 7Tianjin Anding Hospital, Tianjin, People’s Republic of China; 8Lundbeck Singapore Pte Ltd, Singapore; 9H. Lundbeck A/S, Valby, Denmark; 10Lundbeck China, Beijing, People’s Republic of ChinaObjective: Cognitive symptoms in major depressive disorder (MDD) are common and may negatively impact clinical and functional outcomes. The Prospective Research Observation to Assess Cognition in Treated patients with MDD (PROACT) study aimed to assess the prevalence and course of cognitive symptoms, and their associations with clinical and functional outcomes during 6 months of antidepressant treatment, in a real-world setting among Chinese patients with MDD.Patients and methods: Outpatients (n=598) aged 18–65 years with MDD and a total score ≥17 on the Hamilton Depression Rating Scale – 17 Items (HAM-D17) were observed over 6 months after initiating new antidepressant monotherapy, with follow-up visits at months 1, 2, and 6. Cognitive symptoms were assessed using the Perceived Deficits Questionnaire – Depression (PDQ-D) and cognitive performance using the Digit Symbol Substitution Test (DSST).Results: At baseline, 76.9% of patients had indications of cognitive symptoms (PDQ-D total score ≥21); at month 6, this was reduced, but still present in 32.4%. Across the 6-month study period, patients improved across cognitive, clinical and functional assessments. High levels of cognitive symptoms (PDQ-D) consistently predicted worse clinical outcomes, ie, lower odds for remission and increased odds for relapse, as well as worse patient-reported functional outcomes and lower quality of life. In contrast, cognitive performance (DSST) predicted performance-based functioning but only a few patient-reported functional outcomes (absenteeism and quality of life), and no clinical outcomes. PDQ-D and DSST scores were uncorrelated at baseline.Conclusion: The study highlights the importance of assessing and targeting cognitive symptoms for increasing patients’ chances of recovery and restoring functioning in the treatment of MDD. The results further highlight the relevance of complementary assessment methods to fully capture aspects of cognitive symptoms in patients with depression.Keywords: MDD, antidepressants, cognitive performance, real-world evidence, PDQ-D, DSST

Oxygen defect-engineered is an important strategy to improve the photoelectric activity of materials. Herein, a facile one-pot solvothermal method was utilized to synthesize visible light-responsive photoactive Bi2MoO6 nanoparticles anchored boron and nitrogen co-doped graphene (BNG) nanosheets nanocomposites with oxygen vacancy. The incorporation of BNG nanosheets increased the oxygen vacancies amounts on Bi2MoO6 remarkably, and the presences of oxygen vacancies can be beneficial to broaden the absorption range. The absorption edge of Bi2MoO6/BNG was widened from 500 nm to 550 nm compared to Bi2MoO6, and the charge transfer was accelerated to improve the photoactive of Bi2MoO6/BNG. Under visible light illumination, the photoelectrochemical (PEC) response of the as-prepared Bi2MoO6/BNG was 11.6-fold, 6.7-fold, 3.1-fold and 2.4-fold higher than that of pristine Bi2MoO6, Bi2MoO6/graphene, Bi2MoO6/nitrogen doped graphene and Bi2MoO6/boron doped graphene. Using Bi2MoO6/BNG nanocomposites with the superior PEC performance as photoactive materials in combination with specifically recognized lincomycin (LIN) aptamer, a highly efficient PEC aptasensor was successfully constructed for sensitive analysis of LIN. Under optimal conditions, the proposed PEC aptasensor exhibited excellent analytical performance for LIN with a wide linear response of 1 × 10−11 to 1 × 10−6 mol L−1 along with a low detection limit of 3.7 × 10−12 mol L−1 (defined as S/N = 3). The as-prepared Bi2MoO6/BNG nanocomposites exhibit excellent visible light response and PEC performance, indicating its potential applications in PEC biosensor.