From Connectivity to Controllability: Unraveling the Brain Biomarkers of Major Depressive Disorder.

Major Depressive Disorder (MDD) is a significant neurological condition associated with aberrations in brain functional networks. Traditional studies have predominantly analyzed these from a network topology perspective. However, given the brain's dynamic and complex nature, exploring its mechanisms from a network control standpoint provides a fresh and insightful framework. This research investigates the integration of network controllability and machine learning to pinpoint essential biomarkers for MDD using functional magnetic resonance imaging (fMRI) data. By employing network controllability methods, we identify crucial brain regions that are instrumental in facilitating transitions between brain states. These regions demonstrate the brain's ability to navigate various functional states, emphasizing the utility of network controllability metrics as potential biomarkers. Furthermore, these metrics elucidate the complex dynamics of MDD and support the development of precision medicine strategies that incorporate machine learning to improve the precision of diagnostics and the efficacy of treatments. This study underscores the value of merging machine learning with network neuroscience to craft personalized interventions that align with the unique pathological profiles of individuals, ultimately enhancing the management and treatment of MDD.

Engineering Streptomyces sp. CPCC 204095 for the targeted high-level production of isatropolone A by elucidating its pathway-specific regulatory mechanism.

BACKGROUND: Isatropolone A and C, produced by Streptomyces sp. CPCC 204095, belong to an unusual class of non-benzenoid aromatic compounds and contain a rare seven-membered ring structure. Isatropolone A exhibits potent activity against Leishmania donovani, comparable to the only oral drug miltefosine. However, its variably low productivity represents a limitation for this lead compound in the future development of new anti-leishmaniasis drugs to meet unmet clinical needs. RESULTS: Here we first elucidated the regulatory cascade of biosynthesis of isatropolones, which consists of two SARP family regulators, IsaF and IsaJ. Through a series of in vivo and in vitro experiments, IsaF was identified as a pathway-specific activator that orchestrates the transcription of the gene cluster essential for isatropolone biosynthesis. Interestingly, IsaJ was found to only upregulate the expression of the cytochrome P450 monooxygenase IsaS, which is crucial for the yield and proportion of isatropolone A and C. Through targeted gene deletions of isaJ or isaS, we effectively impeded the conversion of isatropolone A to C. Concurrently, the facilitation of isaF overexpression governed by selected promoters, prompted the comprehensive activation of the production of isatropolone A. Furthermore, meticulous optimization of the fermentation parameters was conducted. These strategies culminated in the attainment of an unprecedented maximum yield-980.8 mg/L of isatropolone A-achieved in small-scale solid-state fermentation utilizing the genetically modified strains, thereby establishing the highest reported titer to date. CONCLUSION: In Streptomyces sp. CPCC 204095, the production of isatropolone A and C is modulated by the SARP regulators IsaF and IsaJ. IsaF serves as a master pathway-specific regulator for the production of isatropolones. IsaJ, on the other hand, only dictates the transcription of IsaS, the enzyme responsible for the conversion of isatropolone A and C. By engineering the expression of these pivotal genes, we have devised a strategy for genetic modification aimed at the selective and high-yield biosynthesis of isatropolone A. This study not only unveils the unique regulatory mechanisms governing isatropolone biosynthesis for the first time, but also establishes an essential engineering framework for the targeted high-level production of isatropolone A.

Intrapapillary hemorrhage with adjacent peripapillary subretinal hemorrhage of both eyes after COVID-19 infection: a case report.

BACKGROUND: Intrapapillary hemorrhage with adjacent peripapillary subretinal hemorrhage is commonly observed in myopia with tilted optic disc. It presents with typical features on the fundus and follows a self-limiting course. However, due to its complex etiology, clinicians sometimes lack sufficient understanding of it which can easily lead to misdiagnosis or overtreatment. In this case report, we describe a rare case of intrapapillary hemorrhage with adjacent peripapillary subretinal hemorrhage in both eyes. CASE PRESENTATION: An 18-year-old female who has no past medical history experienced sudden black shadow blocking of her right eye in the right eye for the past 2 days after a 5-day history of COVID-19 infection. The best corrected visual acuity is 0.5 in the right eye and 0.6 in the left eye. Optical coherence tomography (OCT) showed tilted optic discs in both eyes, bulged nasal optic discs, and the presence of strong reflective material under the parafoveal retina of the optic discs. Fundus fluorescein angiography (FFA) showed subretinal fluorescence occlusion above and nasolateral to the optic disc in the right eye, with hypofluorescence below the optic disc; the subretinal below the optic disc was obscured by vitreous hemorrhage; hypofluorescence was seen in the optic disc region of the left eye.COVID-19 antigen was positive. The patient was in the early stage of the third COVID-19 infection when the disease occurred. We speculate that it may be related to it. After 5 months of conservative treatment, the patient's hemorrhage disappeared in both eyes and her best corrected visual acuity returned to normal. CONCLUSIONS: Intrapapillary hemorrhage with adjacent peripapillary subretinal hemorrhage usually occurs in myopia with tilted optic disc. In most patients, the cause of the bleeding is unknown, but it can gradually resolve under clinical observation or conservative treatment.

Development of Genome-Wide Intron Length Polymorphism (ILP) Markers in Tea Plant (Camellia sinensis) and Related Applications for Genetics Research.

The market value of tea is largely dependent on the tea species and cultivar. Therefore, it is important to develop efficient molecular markers covering the entire tea genome that can be used for the identification of tea varieties, marker-assisted breeding, and mapping important quantitative trait loci for beneficial traits. In this study, genome-wide molecular markers based on intron length polymorphism (ILP) were developed for tea trees. A total of 479, 1393, and 1342 tea ILP markers were identified using the PCR method in silico from the 'Shuchazao' scaffold genome, the chromosome-level genome of 'Longjing 43', and the ancient tea DASZ chromosome-level genome, respectively. A total of 230 tea ILP markers were used to amplify six tea tree species. Among these, 213 pairs of primers successfully characterize products in all six species, with 112 primer pairs exhibiting polymorphism. The polymorphism rate of primer pairs increased with the improvement in reference genome assembly quality level. The cross-species transferability analysis of 35 primer pairs of tea ILP markers showed an average amplification rate of 85.17% through 11 species in 6 families, with high transferability in Camellia reticulata and tobacco. We also used 40 pairs of tea ILP primers to evaluate the genetic diversity and population structure of C. tetracocca with 176 plants from Puan County, Guizhou Province, China. These genome-wide markers will be a valuable resource for genetic diversity analysis, marker-assisted breeding, and variety identification in tea, providing important information for the tea industry.

Survival after minimally invasive radical hysterectomy with protective colpotomy for early-stage cervical cancer: A systematic review and meta-analysis.

Minimally invasive surgery on treatment of early-stage cervical cancer is debatable. Traditional approaches of colpotomy are considered responsible for an inferior oncological outcome. Evidence on whether protective colpotomy could optimize minimally invasive technique and improve prognoses of women with early-stage cervical cancer remains limited. We produced a systematic review and meta-analysis to compare oncological outcomes of the patients treated by minimally invasive radical hysterectomy with protective colpotomy to those treated by open surgery according to existing literature. We explored PubMed, Embase, the Cochrane Library, and ClinicalTrials.gov from inception to December 2022. Inclusion criteria were: (1) randomized controlled trials or observational studies published in English, (2) studies comparing minimally invasive radical hysterectomy with protective colpotomy to abdominal radical hysterectomy in early-stage cervical cancer, and (3) studies comparing survival outcomes. Two reviewers performed the screening, data extraction, and quality assessment independently. A total of 8 retrospective cohort studies with 2020 women were included in the study, 821 of whom were in the minimally invasive surgery group, and 1199 of whom were in the open surgery group. The recurrence-free survival and overall survival in the minimally invasive surgery group were both similar to that in the open surgery group (pooled hazard ratio, 0.88 and 0.78, respectively; 95% confidence interval, 0.56-1.38 and 0.42-1.44, respectively). Minimally invasive radical hysterectomy with protective colpotomy on treatment of early-stage cervical cancer had similar recurrence-free survival and overall survival compared to abdominal radical hysterectomy. Protective colpotomy could be a guaranteed approach to modifying minimally invasive technique.

Retinal giant cyst treated by the scleral buckling procedure: A case report.

INTRODUCTION: Retinal cysts are rare lesions of the fundus that are essentially fluid-filled cavities located or originating in the retina, with a diameter larger than the normal retinal thickness. To date, there have been few case reports of giant retinal cyst hemorrhage with retinoschisis. CASE PRESENTATION: A 32-year-old woman with no other medical history complained of decreased vision for 3 days after a severe cough. The best-corrected visual acuity in the right eye was 0.5. A comprehensive ophthalmological examination including slit-lamp fundoscopy, ultrasound scan of the eye, optical coherence tomography scan, and orbital magnetic resonance imaging was performed. Ophthalmological examination revealed grade III anterior chamber blood cells and grade III vitreous hemorrhage in the right eye and a large herpetic cyst on the nasal side of the retina. The cyst projected into the vitreous, with a large amount of hemorrhage vaguely visible within it. The cyst was clearly visible, and a superficial retinal limiting detachment was observed around it. Ultrasound showed a retinal cyst with retinal detachment in the right eye. Laboratory test results were unremarkable. After 3 months of conservative treatment, the patient's intracystic hemorrhage was significantly absorbed, but the size of the cyst cavity did not show any significant change. Scleral buckling with external compression combined with external drainage of the intracystic fluid was performed, the patient's visual acuity was gradually restored to a normal 1.0 after the operation, and the retina appeared flattened. The patient was finally diagnosed with a giant retinal cyst with retinoschisis in the right eye. The presumed cause was heavy coughing leading to rupture and hemorrhage of the retinal cyst, similar to the mechanism of rupture of an arterial dissection. To the best of our knowledge, this case of retinal cyst rupture and hemorrhage caused by heavy coughing with good recovery after external surgical treatment has never been reported before. CONCLUSIONS: Giant cystic retinal hemorrhage with retinoschisis is very rare. Orbital magnetic resonance imaging and ocular B-scan ultrasound are essential for its diagnosis, and the selection of an appropriate surgical procedure is necessary to maximize the benefit for affected patients.

Case Report: A Rare Case of Primary Angiosarcoma of the Cervix with a Literature Review.

Primary angiosarcomas are a rare type of soft-tissue sarcomas that originate from endothelial cells. These sarcomas can develop in any part of the body and have a poor prognosis. However, they are commonly found in the skin of elderly white men, particularly on the scalp and head region. Primary angiosarcoma of the cervix is exceptionally rare. To date, only two cases of this disease have been reported worldwide. The diagnosis of the disease is difficult microscopically, requiring immunohistochemistry and genetic testing to distinguish. We report a recent case, in which the lesion was preoperatively considered a high-grade endometrial stromal sarcoma. A 35-year-old woman presented with vaginal bleeding and cervical erosions. A high-grade endometrial stromal sarcoma involving the cervix was considered and a modified radical hysterectomy was performed with bilateral salpingo-oophorectomy and sentinel lymph nodes resection. The gene diagnosis performed by fluorescence in situ hybridization for YWHAE translocation fusion was negative excluding a YWHAE-translocated high-grade endometrial stromal sarcoma. A primary angiosarcoma of the cervix was finally diagnosed. Primary angiosarcoma of the cervix is rare, and gynecologic pathologists do not know it well, so it is easy to be wrongly considered. Immunohistochemistry and genetic testing help confirm the diagnosis.

Effectiveness of a Biofeedback Intervention Targeting Mental and Physical Health Among College Students Through Speech and Physiology as Biomarkers Using Machine Learning: A Randomized Controlled Trial.

Biofeedback therapy is mainly based on the analysis of physiological features to improve an individual's affective state. There are insufficient objective indicators to assess symptom improvement after biofeedback. In addition to psychological and physiological features, speech features can precisely convey information about emotions. The use of speech features can improve the objectivity of psychiatric assessments. Therefore, biofeedback based on subjective symptom scales, objective speech, and physiological features to evaluate efficacy provides a new approach for early screening and treatment of emotional problems in college students. A 4-week, randomized, controlled, parallel biofeedback therapy study was conducted with college students with symptoms of anxiety or depression. Speech samples, physiological samples, and clinical symptoms were collected at baseline and at the end of treatment, and the extracted speech features and physiological features were used for between-group comparisons and correlation analyses between the biofeedback and wait-list groups. Based on the speech features with differences between the biofeedback intervention and wait-list groups, an artificial neural network was used to predict the therapeutic effect and response after biofeedback therapy. Through biofeedback therapy, improvements in depression (p = 0.001), anxiety (p = 0.001), insomnia (p = 0.013), and stress (p = 0.004) severity were observed in college-going students (n = 52). The speech and physiological features in the biofeedback group also changed significantly compared to the waitlist group (n = 52) and were related to the change in symptoms. The energy parameters and Mel-Frequency Cepstral Coefficients (MFCC) of speech features can predict whether biofeedback intervention effectively improves anxiety and insomnia symptoms and treatment response. The accuracy of the classification model built using the artificial neural network (ANN) for treatment response and non-response was approximately 60%. The results of this study provide valuable information about biofeedback in improving the mental health of college-going students. The study identified speech features, such as the energy parameters, and MFCC as more accurate and objective indicators for tracking biofeedback therapy response and predicting efficacy. Trial Registration ClinicalTrials.gov ChiCTR2100045542.

Study of clinical traits and systemic immune inflammation index assessments in patients with endogenous endophthalmitis over the last ten years.

PURPOSE: The clinical aspects and prognosis of eyes with endogenous endophthalmitis were compared over the last ten years. The occurrence and progression of endophthalmitis are linked to the systemic immune inflammation index (SII) and clinical features. METHODS: The study comprised patients with endogenous endophthalmitis and 64 patients without endophthalmitis who were treated at Hebei Province Eye Hospital in the last ten years. According to the prognostic visual acuity, patients with endophthalmitis were split into two groups: Group A and Group B. Underlying disease (hypertension, diabetes, tuberculosis), infection risk (liver abscess, urinary tract infection, and recent abdominal surgery), signs and symptoms, and complete blood count were among the evaluation parameters (neutrophil count, lymphocyte count, monocyte count, platelet count, red blood cell distribution width). The NLR, PLR, MLR, and SII values were calculated. A nonparametric test was used to examine the clinical features and complete blood count results of patients in each group. To determine the parameters linked to endophthalmitis progression, researchers used principal component and ordinal logistic regression analyses. RESULTS: The study comprised a total of 25 eyes and 22 individuals with endogenous endophthalmitis. Infectious bacteria included Staphylococcus aureus, Micrococcus luteus, Staphylococcus hemolyticus, and so on. The visual acuity of the affected eye ranged from 2.7 (1.55, 2.7) LogMAR to 1.22 (0.6, 2.7) LogMAR during the 6-month to 8-year follow-up period. The neutrophil, monocyte, and PLT counts, NLR, PLR, and SII values and other markers were considerably higher in Groups A and B than in the control group. The likelihood model of the SII and sex, age, onset time, diabetes, hypertension, monocyte count, and red blood cell distribution was the best, and its increase was strongly connected with the occurrence and progression of endophthalmitis, according to ordinal regression analysis. CONCLUSION: Patients with endophthalmitis had significantly higher blood neutrophil, monocyte, and PLT counts and SII, NLR, PLR, and MLR values. The SII can be employed as a biomarker for predicting endophthalmitis severity and prognosis.

InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation.

BACKGROUND: With the development of single-cell technology, many cell traits can be measured. Furthermore, the multi-omics profiling technology could jointly measure two or more traits in a single cell simultaneously. In order to process the various data accumulated rapidly, computational methods for multimodal data integration are needed. RESULTS: Here, we present inClust+, a deep generative framework for the multi-omics. It's built on previous inClust that is specific for transcriptome data, and augmented with two mask modules designed for multimodal data processing: an input-mask module in front of the encoder and an output-mask module behind the decoder. InClust+ was first used to integrate scRNA-seq and MERFISH data from similar cell populations, and to impute MERFISH data based on scRNA-seq data. Then, inClust+ was shown to have the capability to integrate the multimodal data (e.g. tri-modal data with gene expression, chromatin accessibility and protein abundance) with batch effect. Finally, inClust+ was used to integrate an unlabeled monomodal scRNA-seq dataset and two labeled multimodal CITE-seq datasets, transfer labels from CITE-seq datasets to scRNA-seq dataset, and generate the missing modality of protein abundance in monomodal scRNA-seq data. In the above examples, the performance of inClust+ is better than or comparable to the most recent tools in the corresponding task. CONCLUSIONS: The inClust+ is a suitable framework for handling multimodal data. Meanwhile, the successful implementation of mask in inClust+ means that it can be applied to other deep learning methods with similar encoder-decoder architecture to broaden the application scope of these models.

Efficacy and Safety of Biosimilar QL1207 vs. the Reference Aflibercept for Patients with Neovascular Age-Related Macular Degeneration: A Randomized Phase 3 Trial.

INTRODUCTION: This trial aimed to compare the efficacy and safety between biosimilar QL1207 and the reference aflibercept for the treatment of neovascular age-related macular degeneration (nAMD). METHODS: This randomized, double-blind, phase 3 trial was conducted at 35 centers in China. Patients aged ≥ 50 years old with untreated subfoveal choroidal neovascularization secondary to nAMD and best-corrected visual acuity (BCVA) letter score of 73-34 were eligible. Patients were randomly assigned to receive intravitreous injections of QL1207 or aflibercept 2 mg (0.05 ml) in the study eye every 4 weeks for the first 3 months, followed by 2 mg every 8 weeks until week 48, stratified by baseline BCVA ≥ or < 45 letters. The primary endpoint was BCVA change from baseline at week 12. The equivalence margin was ± 5 letters. The safety, immunogenicity, pharmacokinetics (PK), and plasma vascular endothelial growth factor (VEGF) concentration were also evaluated. RESULTS: A total of 366 patients were enrolled (QL1207 group, n = 185; aflibercept group, n = 181) from Aug 2019 to Jan 2022 with comparable baseline characteristics. The least-squares mean difference in BCVA changes was - 1.1 letters (95% confidence interval - 3.0 to 0.7; P = 0.2275) between the two groups, within the equivalence margin. The incidences of treatment-emergent adverse events (TEAE; QL1207: 71.4% [132/185] vs. aflibercept: 71.8% [130/181]) and serious TEAE (QL1207: 14.1% [26] vs. aflibercept: 12.7% [23]) appeared comparable between treatment groups, and no new safety signal was found. Anti-drug antibody, PK profiles, and VEGF concentration were similar between the two groups. CONCLUSIONS: QL1207 has equivalent efficacy to aflibercept for nAMD with similar safety profiles. It could be used as an alternative anti-VEGF agent for clinical practice. TRIAL REGISTRATION: ClinicalTrials.gov: NCT05345236 (retrospectively registered on April 25, 2022); National Medical Products Administration of China: CTR20190937 (May 20, 2019).

Expanding structural diversity of 5'-aminouridine moiety of sansanmycin via mutational biosynthesis.

Sansanmycins represent a family of uridyl peptide antibiotics with antimicrobial activity specifically against Mycobacterium tuberculosis (including drug-resistant M. tuberculosis) and Pseudomonas aeruginosa. They target translocase I (MraY) to inhibit bacterial cell wall assembly. Given the unique mechanism of action, sansanmycin has emerged as a potential lead compound for developing new anti-tuberculosis drugs, while the 5'-aminouridine moiety plays a crucial role in the pharmacophore of sansanmycin. For expanding the structural diversity of the 5'-aminouridine moiety of sansanmycin through biosynthetic methods, we firstly demonstrated that SsaM and SsaK are responsible for the biosynthesis of the 5'-aminouridine moiety of sansanmycin in vivo. Using the ssaK deletion mutant (SS/KKO), we efficiently obtained a series of new analogues with modified 5'-aminouridine moieties through mutational biosynthesis. Based on molecular networking analysis of MS/MS, twenty-two new analogues (SS-KK-1 to -13 and SS-KK-A to -I) were identified. Among them, four new analogues (SS-KK-1 to -3 and SS-KK-C) were purified and bioassayed. SS-KK-2 showed better antibacterial activity against E. coli ΔtolC than the parent compound sansanmycin A. SS-KK-3 showed the same anti-TB activity as sansanmycin A against M. tuberculosis H37Rv as well as clinically isolated, drug-sensitive and multidrug-resistant M. tuberculosis strains. Furthermore, SS-KK-3 exhibited significantly improved structural stability compared to sansanmycin A. The results suggested that mutasynthesis is an effective and practical strategy for expanding the structural diversity of 5'-aminouridine moiety in sansanmycin.

School-based Evaluation Advancing Response for Child Health (SEARCH): a mixed longitudinal cohort study from multifaceted perspectives in Jiangsu, China.

BACKGROUND: Schools play a crucial role in providing mental health services to children and adolescents. However, the vastness of the student population and mental health workforce shortage in China severely limit the capacity for adequate care access and delivery. OBJECTIVE: We propose a large, mixed longitudinal cohort study, 'School-based Evaluation Advancing Response for Child Health (SEARCH)', aimed at addressing the increasing demand from individuals seeking access to mental healthcare services. METHODS: SEARCH uses a digital platform and school-based protocol for comprehensive assessment of the mental well-being of Chinese students in grades 4-12 incorporating individual, caregiver and teacher input, including capture of facial and acoustic features and response times, as well as mental well-being assessments. FINDINGS: We completed first wave data collection from nearly 20 000 participants (students, caregivers and teachers) at 11 schools, grades 4-12, in 3 cities in Jiangsu province in Southeast China from September 2022 to February 2023. We intend to conduct follow-up assessments for grades 4 through 12 at the 11 school sites every 6 months for 5 years. CONCLUSIONS: SEARCH will provide important insight into the developmental trajectory of mental well-being in Chinese children and adolescents. The study protocol does not simply focus on student self-report and incorporates caregiver and teacher viewpoints as well. It also collects objective indicators that may facilitate development of screening tools. CLINICAL IMPLICATIONS: We believe future study findings will guide the development and implementation of school-based mental healthcare initiatives to improve the well-being of children and adolescents.

Stellate nonheritable idiopathic foveomacular retinoschisis in juveniles: case report.

BACKGROUND: Stellate nonhereditary idiopathic foveomacular retinoschisis (SNIFR) is a rare type of retinoschisis with a spoke-like splitting that occurs in the outer plexus layer. We present a case of stellate nonhereditary idiopathic foveomacular retinoschisis in a juvenile, in which two eyes show different development trends and macular retinoschisis could be associated with mechanical force in the Henle fibre layer. The removal of mechanical force can partially restore vision. CASE PRESENTATION: A 14-year-old girl with bilateral SNIFR was diagnosed and followed up with spectral-domain optical coherence tomography (SD-OCT). During the two follow-up visits, vitreous adhesion was released in the left eye, and visual acuity improved. Neuroepithelial detachment was aggravated in the right eye, and visual acuity decreased. Therefore, vitrectomy was performed on the right eye. After surgery, the patient's retina was reattached, and her vision was partially restored. CONCLUSIONS: We reported a juvenile with bilateral SNIFR. Each of her eyes showed different development trends, so we adopted different treatment methods for each eye. Vitrectomy was performed on the patient to address progressive vision loss, which improved the patient's vision. It was further confirmed that the Henle layer of SNIFR patients was susceptible to posterior vitreous membrane adhesion.

A deep generative framework with embedded vector arithmetic and classifier for sample generation, label transfer, and clustering of single-cell data.

Multiple-source single-cell datasets have accumulated quickly and need computational methods to integrate and decompose into meaningful components. Here, we present inClust (integrated clustering), a flexible deep generative framework that enables embedding auxiliary information, latent space vector arithmetic, and clustering. All functional parts are relatively modular, independent in implementation but interrelated at runtime, resulting in an all-in general framework that could work in supervised, semi-supervised, or unsupervised mode. We show that inClust is superior to most data integration methods in benchmark datasets. Then, we demonstrate the capability of inClust in the tasks of conditional out-of-distribution generation in supervised mode, label transfer in semi-supervised mode, and spatial domain identification in unsupervised mode. In these examples, inClust could accurately express the effect of each covariate, distinguish the query-specific cell types, or segment spatial domains. The results support that inClust is an excellent general framework for multiple-task harmonization and data decomposition.

Regulating N Species in N-Doped Carbon Electro-Catalysts for High-Efficiency Synthesis of Hydrogen Peroxide in Simulated Seawater.

Electrochemical oxygen reduction reaction (ORR) is an attractive and alternative route for the on-site production of hydrogen peroxide (H2 O2 ). The electrochemical synthesis of H2 O2 in neutral electrolyte is in early studying stage and promising in ocean-energy application. Herein, N-doped carbon materials (N-Cx ) with different N types are prepared through the pyrolysis of zeolitic imidazolate frameworks. The N-Cx catalysts, especially N-C800 , exhibit an attracting 2e- ORR catalytic activity, corresponding to a high H2 O2 selectivity (≈95%) and preferable stability in 0.5 m NaCl solution. Additionally, the N-C800 possesses an attractive H2 O2 production amount up to 631.2 mmol g-1  h-1 and high Faraday efficiency (79.8%) in H-type cell. The remarkable 2e- ORR electrocatalytic performance of N-Cx catalysts is associated with the N species and N content in the materials. Density functional theory calculations suggest carbon atoms adjacent to graphitic N are the main catalytic sites and exhibit a smaller activation energy, which are more responsible than those in pyridinic N and pyrrolic N doped carbon materials. Furthermore, the N-C800 catalyst demonstrates an effective antibacterial performance for marine bacteria in simulated seawater. This work provides a new insight for electro-generation of H2 O2 in neutral electrolyte and triggers a great promise in ocean-energy application.

Severity-onset prediction of COVID-19 via artificial-intelligence analysis of multivariate factors.

Progression to a severe condition remains a major risk factor for the COVID-19 mortality. Robust models that predict the onset of severe COVID-19 are urgently required to support sensitive decisions regarding patients and their treatments. In this study, we developed a multivariate survival model based on early-stage CT images and other physiological indicators and biomarkers using artificial-intelligence analysis to assess the risk of severe COVID-19 onset. We retrospectively enrolled 338 adult patients admitted to a hospital in China (severity rate, 31.9%; mortality rate, 0.9%). The physiological and pathological characteristics of the patients with severe and non-severe outcomes were compared. Age, body mass index, fever symptoms upon admission, coexisting hypertension, and diabetes were the risk factors for severe progression. Compared with the non-severe group, the severe group demonstrated abnormalities in biomarkers indicating organ function, inflammatory responses, blood oxygen, and coagulation function at an early stage. In addition, by integrating the intuitive CT images, the multivariable survival model showed significantly improved performance in predicting the onset of severe disease (mean time-dependent area under the curve = 0.880). Multivariate survival models based on early-stage CT images and other physiological indicators and biomarkers have shown high potential for predicting the onset of severe COVID-19.

Functional connectivity between the cerebellar vermis and cerebrum distinguishes early treatment response for major depressive episodes in adolescents.

BACKGROUND: The absence of biomarkers for predicting treatment response in adolescent mood disorder calls for further research. The vermis, a component of the cerebellum, is involved in mood disorder pathophysiology and relates to clinical symptoms and treatment outcomes. We investigated vermis functional connectivity (FC) as an early marker for treatment response identification. METHOD: One hundred thirty-two adolescents with mood disorders including major depressive disorder or bipolar disorder, were recruited, who were experiencing a major depressive episode. All adolescents underwent baseline and 2-week treatment resting-state MRI scans. Hamilton Rating Scale for Depression (HAMD) assessments were completed to assess the severity of symptoms. Patients were divided into treatment-responsive (≥50 % HAMD reduction, n = 75) and treatment-unresponsive subgroups (n = 57). Vermis FCs were compared between subgroups at baseline. And we compared the pre- and post-treatment FC differences within subgroups. RESULT: Higher vermis-left temporal lobe FC in treatment-responsive group compared to treatment-unresponsive group at baseline. The FC value showed positive prognosis for the efficacy, with the area under the curve (AUC) of 0.760 (95 % confidence interval: 0.678-0.843, p < 0.001), suggesting higher vermis-temporal FC is benefit to improve treatment-response. Furthermore, post-treatment analysis showed significant increases in the vermis-right frontal lobe FC values between in all patients, suggesting that vermis-frontal FCs were independent of treatment-outcome. LIMITATION: Sample size was relatively small, which may limit the generalizability of our results. CONCLUSION: Our study revealed that the FC between the vermis and the cortex is not only associated with symptom alleviation but also predictive of treatment outcomes.

Dynamics of C(3P) + OH(X 2Π) reaction on the new global HCO(X2A') potential energy surface.

A precise analytical potential energy surface (PES) of HCO(X2A') is fitted from a great quantity of ab initio energy points computed with the multi-reference configuration interaction method and aug-cc-pV(Q/5)Z basis sets. The whole energy points extrapolated to the complete basis set limit are fitted by the many-body expansion formula. The calculated topographic characteristics are analyzed and compared with the existing work to prove the precision of the present HCO(X2A') PES. By utilizing the time-dependent wave packet and quasi-classical trajectory methods, the reaction probabilities, integral cross sections, and rate constants are computed. The results are compared in detail with the former results carried out on the other PES. Moreover, the provided information on stereodynamics leads to an in-depth understanding of the role of collision energy in product distribution.

Circ_0010235 confers cisplatin resistance in lung cancer by upregulating E2F7 through absorbing miR-379-5p.

BACKGROUND: Cisplatin (DDP) treatment is one of the most predominant chemotherapeutic strategies for lung cancer patients. Circular RNAs (circRNAs) have been revealed to participate in the chemoresistance in lung cancer. Hence, the role and mechanism of circ_0010235 in cisplatin resistance in lung cancer was investigated. METHODS: Expression levels of circ_0010235, microRNA (miR)-379-5p and E2F transcription factor 7 (E2F7) were analyzed using quantitative reverse transcription PCR (qRT-PCR) and western blot. Cell DDP sensitivity, proliferation, apoptosis, invasion, and migration were detected by cell counting kit-8 assay, 5-ethynyl-2'-deoxyuridine (EDU) assay, flow cytometry and western blot, respectively. The binding interaction was verified using dual-luciferase reporter assay. A murine xenograft model was established to investigate effects in vivo. RESULTS: Circ_0010235 was highly expressed in DDP-resistant lung cancer tissues and cells. Knockdown of circ_0010235 elevated DDP sensitivity, constrained proliferation, invasion and migration as well as fostered apoptosis in DDP-resistant lung cancer cells. Moreover, circ_0010235 silencing boosted DDP sensitivity and impeded tumor growth in lung cancer in vivo. Mechanistically, circ_0010235 acted as a sponge for miR-379-5p to elevate the expression of its target E2F7. Rescue experiments showed that miR-379-5p inhibition attenuated circ_0010235 knockdown-evoked reduction on DDP resistance of DDP-resistant cancer cells. In addition, miR-379-5p re-expression elevated DDP sensitivity and suppressed the malignant phenotype of DDP-resistant lung cancer cells through miR-379-5p. CONCLUSION: Circ_0010235 knockdown reduced DDP resistance and tumor growth via miR-379-5p/ E2F7 axis in lung cancer, suggesting an effective therapeutic target for lung cancer patients.