A special type of homicide-suicide: A retrospective study of the characteristics of extended suicide.

Extended suicide, a specific type of homicide-suicide event, has severe social consequences yet remains lacking systematic research. This retrospective study investigated 51 cases of extended suicide involving mental disorders in central China with aim of better understanding risk factors for such events and guiding prevention strategies. Over an 8-year period from 2015 to 2022, cases were collected from forensic institutions, and demographic characteristics, case details, and psychiatric data were recorded. The 51 incidents involved 51 perpetrators and 79 victims, with more female perpetrators (58.8%) and more female victims (54.4%). The average age of the perpetrators was 36.1, and most were married (88.2%). Almost all of the victims were family members of the perpetrator, like the most numerous children (64.6%), followed by spouses (24.1%). The most common homicide mode of death was mechanical asphyxia (38.0%), followed by sharp devices (36.7%) and drug poisoning (16.5%). Depressive disorders (76.5%) were the most common diagnosis of mental disorder for perpetrators. The study analyzed the unique characteristics of extended suicide to enrich such data. These findings help strengthen the screening and identification of potential perpetrators and victims to prevent such cases from occurring.

Unsupervised spectral reconstruction from RGB images under two lighting conditions.

Unsupervised spectral reconstruction (SR) aims to recover the hyperspectral image (HSI) from corresponding RGB images without annotations. Existing SR methods achieve it from a single RGB image, hindered by the significant spectral distortion. Although several deep learning-based methods increase the SR accuracy by adding RGB images, their networks are always designed for other image recovery tasks, leaving huge room for improvement. To overcome this problem, we propose a novel, to our knowledge, approach that reconstructs the HSI from a pair of RGB images captured under two illuminations, significantly improving reconstruction accuracy. Specifically, an SR iterative model based on two illuminations is constructed at first. By unfolding the proximal gradient algorithm solving this SR model, an interpretable unsupervised deep network is proposed. All the modules in the proposed network have precise physical meanings, which enable our network to have superior performance and good generalization capability. Experimental results on two public datasets and our real-world images show the proposed method significantly improves both visually and quantitatively as compared with state-of-the-art methods.

HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm.

Cooperative perception in the field of connected autonomous vehicles (CAVs) aims to overcome the inherent limitations of single-vehicle perception systems, including long-range occlusion, low resolution, and susceptibility to weather interference. In this regard, we propose a high-precision 3D object detection V2V cooperative perception algorithm. The algorithm utilizes a voxel grid-based statistical filter to effectively denoise point cloud data to obtain clean and reliable data. In addition, we design a feature extraction network based on the fusion of voxels and PointPillars and encode it to generate BEV features, which solves the spatial feature interaction problem lacking in the PointPillars approach and enhances the semantic information of the extracted features. A maximum pooling technique is used to reduce the dimensionality and generate pseudoimages, thereby skipping complex 3D convolutional computation. To facilitate effective feature fusion, we design a feature level-based crossvehicle feature fusion module. Experimental validation is conducted using the OPV2V dataset to assess vehicle coperception performance and compare it with existing mainstream coperception algorithms. Ablation experiments are also carried out to confirm the contributions of this approach. Experimental results show that our architecture achieves lightweighting with a higher average precision (AP) than other existing models.

Genomic structure analysis and construction of DNA fingerprint for four sheep populations.

The Yongdeng Qishan sheep (QS) is a sheep population found locally in China. To gain in-depth knowledge of its population characteristics, three control groups were chosen, comprising the Lanzhou fat-tailed sheep (LFT), TAN sheep (TAN), and Minxian black fur sheep (MBF), inhabiting the nearby environments. This study genotyped a total of 120 individuals from four sheep populations: QS, LFT, TAN, and MBF. Using Specific-Locus Amplified Fragment Sequencing, we conducted genetic diversity, population structure, and selective sweep analysis, and constructed the fingerprint of each population. In total, there were 782 535 single nucleotide polymorphism (SNP) variations identified, with most being situated within regions that are intergenic or intronic. The genetic diversity analysis revealed that the QS population exhibited lower genetic diversity compared to the other three populations. Consistent results were obtained from the principal component, phylogenetic tree, and population structure analysis, indicating significant genetic differences between QS and the other three populations. However, a certain degree of differentiation was observed within the QS population. The linkage disequilibrium (LD) patterns among the four populations showed clear distinctions, with the QS group demonstrating the most rapid LD decline. Kinship analysis supported the findings of population structure, dividing the 90 QS individuals into two subgroups consisting of 23 and 67 individuals. Selective sweep analysis identified a range of genes associated with reproduction, immunity, and adaptation to high-altitude hypoxia. These genes hold potential as candidate genes for marker-assisted selection breeding. Additionally, a total of 86 523 runs of homozygosity (ROHs) were detected, showing non-uniform distribution across chromosomes, with chromosome 1 having the highest coverage percentage and chromosome 26 the lowest. In the high-frequency ROH islands, 79 candidate genes were associated with biological processes such as reproduction and fat digestion and absorption. Furthermore, a DNA fingerprint was constructed for the four populations using 349 highly polymorphic SNPs. In summary, our research delves into the genetic diversity and population structure of QS population. The construction of DNA fingerprint profiles for each population can provide valuable references for the identification of sheep breeds both domestically and internationally.

Inverted Placement of Endoscopic One-Way Endobronchial Valve Combined with Gelfoam in the Closure of Bronchopleural Fistula with Empyema in a Mechanically Ventilated Patient: A Case Report.

Bronchopleural fistula (BPF) with empyema caused by severe necrotizing pulmonary infection is a complicated clinical problem that is often associated with poor general condition so surgical interventions cannot be tolerated in most cases. Here, we present the successful management of multiple BPF with empyema in a mechanically ventilated patient with aspiration lung abscess. Occlusion utilizing Gelfoam followed by endobronchial valves (EBVs) implanted inverted via bronchoscope decreased the air leaking significantly and made intrapleural irrigation for empyema achievable and safe. This is the first report of a novel way of EBV placement and the combination use with other occlusive substances in BPF with empyema in a patient on mechanical ventilation. This method may be an option for refractory BPF cases with pleural infection.

Sorption of cadmium by layered double hydroxides: Performance, structure-related mechanisms, and sequestration stability assessment.

Layered double hydroxides (LDHs) have been recognized to have great potential for the treatment of heavy metals in wastewater and soil through various mechanisms. Isomorphic substitution is an important mechanism for the sorption of heavy metal cations with LDH reconstruction and highly stable product formation. However, sorption performance, structure-related relationships, and, more importantly, stability are still poorly understood. In this study, a series of LDHs with different structures were synthesized to evaluate their cadmium (Cd) sorption performance and stability concerning the isomorphic substitution mechanism. Divalent cation types in the LDH lattice determined the Cd sorption capacity as well as the isomorphic substitution possibility, following the order of hydroxide solubility of divalent cations (MII): Ca2+>Mg2+>(Cd2+) > Ni2+>Zn2+. In addition, CaAl-LDH exhibited a super-high Cd sorption capacity of 625.0 mg g-1. Cd sorption by LDHs with different interlayer anion types and divalent/trivalent cation molar ratios varied due to crystallite size-related MII release through cation-exchange/isomorphic substitution. Coexisting cations (e.g., Zn2+, Ni2+, Mg2+) influence the sorption performance of MII-LDH mainly through isomorphic substitution mechanism, largely depending on the solubility of MII(OH)2 with a trend of stable product formation. Furthermore, Mg2.9Cd0.1AlCl-LDH was fabricated, and limited Cd dissolution without destruction of the LDH structure was observed under various conditions. For example, only 7.69%, 2.16% and 0.96% of Cd was released from as-prepared Mg2.9Cd0.1AlCl-LDH in NaCl solution (0.02 mol L-1, pH 5), soil extract, and soil matrix, respectively. The very low leaching of Cd from Cd-containing LDHs indicated the high stability of LDH-sorbed Cd via isomorphic substitution and feasible practical application in Cd sequestration in wastewater treatment and soil remediation.

Anterior cingulate cortex projections to the dorsal medial striatum underlie insomnia associated with chronic pain.

Chronic pain often leads to the development of sleep disturbances. However, the precise neural circuit mechanisms responsible for sleep disorders in chronic pain have remained largely unknown. Here, we present compelling evidence that hyperactivity of pyramidal neurons (PNs) in the anterior cingulate cortex (ACC) drives insomnia in a mouse model of nerve-injury-induced chronic pain. After nerve injury, ACC PNs displayed spontaneous hyperactivity selectively in periods of insomnia. We then show that ACC PNs were both necessary for developing chronic-pain-induced insomnia and sufficient to mimic sleep loss in naive mice. Importantly, combining optogenetics and electrophysiological recordings, we found that the ACC projection to the dorsal medial striatum (DMS) underlies chronic-pain-induced insomnia through enhanced activity and plasticity of ACC-DMS dopamine D1R neuron synapses. Our findings shed light on the pivotal role of ACC PNs in developing chronic-pain-induced sleep disorders.

Malingering assessment after severe traumatic brain injury in forensic psychology with a potential embedded symptom validity indicator of Symptom Checklist 90.

Objective: Malingering of neuropsychological damage is common among traumatic brain injury patients pursuing disability compensation in forensic contexts. There is an urgent need to explore differences in neuropsychological assessment outcomes with different levels of cooperation. Methods: A total of 420 participants with severe traumatic brain injury were classified into malingering group, partial cooperation group, and complete cooperation group according to the Binomial forced-choice digit memory test. The Wechsler Adult Intelligence Scale, event-related potential component, and Symptom Checklist 90 were applied subsequently to assess the psychological status of participants. Results: Participants in the malingering group presented lower scores in the binomial forced-choice digit memory test and the Wechsler Adult Intelligence Scale, lower P3 amplitude, and simultaneously higher scores in the Symptom Checklist 90 than the other two groups. The actual intelligence quotient of participants with malingering tendencies ranged mostly between normal and marginal damage, and they often reported elevated whole scale scores in the Symptom Checklist 90. The Cooperation Index (defined as the ratio of positive symptom distress index to global severity index, CI) was proposed and validated to function as an embedded validity indicator of the Symptom Checklist 90, and the area under the receiver operating characteristic (ROC) curve was 0.938. When valued at 1.28, CI has the highest classification ability in differentiating malingering from non-malingering. Combined with the CI and P3 amplitude, the area under the ROC curve for malingering diagnosis further reached 0.952. Conclusion: Any non-optimal effort in a forensic context will lead to unexpected deviation in psychology evaluation results. CI is a potential candidate to act as an embedded validity indicator of the Symptom Checklist 90. The combination of CI and P3 amplitude can help to identify malingering in participants after severe traumatic brain injury.

DCT-net: Dual-domain cross-fusion transformer network for MRI reconstruction.

Current challenges in Magnetic Resonance Imaging (MRI) include long acquisition times and motion artifacts. To address these issues, under-sampled k-space acquisition has gained popularity as a fast imaging method. However, recovering fine details from under-sampled data remains challenging. In this study, we introduce a pioneering deep learning approach, namely DCT-Net, designed for dual-domain MRI reconstruction. DCT-Net seamlessly integrates information from the image domain (IRM) and frequency domain (FRM), utilizing a novel Cross Attention Block (CAB) and Fusion Attention Block (FAB). These innovative blocks enable precise feature extraction and adaptive fusion across both domains, resulting in a significant enhancement of the reconstructed image quality. The adaptive interaction and fusion mechanisms of CAB and FAB contribute to the method's effectiveness in capturing distinctive features and optimizing image reconstruction. Comprehensive ablation studies have been conducted to assess the contributions of these modules to reconstruction quality and accuracy. Experimental results on the FastMRI (2023) and Calgary-Campinas datasets (2021) demonstrate the superiority of our MRI reconstruction framework over other typical methods (most are illustrated in 2023 or 2022) in both qualitative and quantitative evaluations. This holds for knee and brain datasets under 4× and 8× accelerated imaging scenarios.

Yeast culture repairs rumen epithelial injury by regulating microbial communities and metabolites in sheep.

This study delves into the impact of yeast culture (YC) on rumen epithelial development, microbiota, and metabolome, with the aim of investigating YC's mechanism in regulating rumen fermentation. Thirty male lambs of Hu sheep with similar age and body weight were selected and randomly divided into three groups with 10 lambs in each group. Lambs were fed a total mixed ration [TMR; rough: concentrate (R:C) ratio ≈ 30:70] to meet their nutritional needs. The experiment adopted completely randomized design (CRD). The control group (CON) was fed the basal diet with high concentrate, to which 20 g/d of YC was added in the low dose YC group (LYC) and 40 g/d of YC in the high dose YC group (HYC). The pretrial period was 14 days, and the experimental trial period was 60 days. At the end of a 60-day trial, ruminal epithelial tissues were collected for histomorphological analysis, and rumen microorganisms were analyzed by 16S rDNA sequencing and rumen metabolites by untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomics techniques. The results showed that YC improved rumen papilla development and increased rumen papilla length (p < 0.05), while decreased cuticle thickness (p < 0.05). The 16S rDNA sequencing results showed that YC reduced the relative abundance of Prevotella_1 (p < 0.05), while significantly increased the relative abundance of Ruminococcaceae_UCG-005, uncultured_bacterium_f_Lachnospiraceae, and Ruminococcus_1 genus (p < 0.05). Metabolomics analysis showed that YC changed the abundance of metabolites related to amino acid metabolism, lipid metabolism and vitamin metabolism pathways in the rumen. In summary, YC might maintain rumen health under high-concentrate diet conditions by changing rumen microbiota structure and fermentation patterns, thereby affecting rumen metabolic profiles and repairing rumen epithelial injury.

Hyperspectral image super-resolution via spectral matching and correction.

Fusing a low-spatial-resolution hyperspectral image (LR-HSI) and a high-spatial-resolution RGB image (HR-RGB) is an important technique for HR-HSI obtainment. In this paper, we propose a dual-illuminance fusion-based super-resolution method consisting of spectral matching and correction. In the spectral matching stage, an LR-HSI patch is first searched for each HR-RGB pixel; with the minimum color difference as a constraint, the matching spectrum is constructed by linear mixing the spectrum in the HSI patch. In the spectral correlation stage, we establish a polynomial model to correct the matched spectrum with the aid of the HR-RGBs illuminated by two illuminances, and the target spectrum is obtained. All pixels in the HR-RGB are traversed by the spectral matching and correction process, and the target HR-HSI is eventually reconstructed. The effectiveness of our method is evaluated on three public datasets and our real-world dataset. Experimental results demonstrate the effectiveness of our method compared with eight fusion methods.

Ventral pallidal glutamatergic neurons regulate wakefulness and emotion through separated projections.

Insomnia is often comorbid with depression, but the underlying neuronal circuit mechanism remains elusive. Recently, we reported that GABAergic ventral pallidum (VP) neurons control wakefulness associated with motivation. However, whether and how other subtypes of VP neurons regulate arousal and emotion are largely unknown. Here, we report glutamatergic VP (VPVglut2) neurons control wakefulness and depressive-like behaviors. Physiologically, the calcium activity of VPVglut2 neurons was increased during both NREM sleep-to-wake transitions and depressive/anxiety-like behaviors in mice. Functionally, activation of VPVglut2 neurons was sufficient to increase wakefulness and induce anxiety/depressive-like behaviors, whereas inhibition attenuated both. Dissection of the circuit revealed that separated projections of VPVglut2 neurons to the lateral hypothalamus and lateral habenula promote arousal and depressive-like behaviors, respectively. Our results demonstrate a subtype of VP neurons is responsible for wakefulness and emotion through separated projections, and may provide new lines for the intervention of insomnia and depression in patients.

Performance of the Activities and Participation component of International Classification of Functioning, Disability and Health Sleep Disorders Brief Core Set in patients with obstructive sleep apnea.

Background: Limitation of daily activities and impairment of working memory have received less attention in the clinical diagnosis and prognostic assessment of obstructive sleep apnea (OSA). In this study, the Activities and Participation component of the International Classification of Functioning, Disability and Health (ICF) Sleep Disorders Brief Core Set was evaluated for its performance in predicting impaired work ability in OSA patients. Methods: A total of 221 subjects were recruited into this cross-sectional study. ICF Sleep Disorders Brief Core Set, polysomnography, and neuropsychological tests were applied for data acquisition. Data analysis was performed by regression analysis and receiver operating characteristic (ROC) construction. Results: The scores for the component Activities and Participation were significantly different between the no OSA/OSA group, and were elevated as the severity of OSA increased. Scores were positively correlated with apnea-hypopnea index (AHI), trail making test (TMT), and negatively correlated with symbol digit modalities test (SDMT) correct. The component Activities and Participation performed better with the threshold of 4 in the prediction of impaired attention and work ability in severe OSA [AHI ≥30 events/h, bottom 10% of TMT part B (TMTb) scores as the diagnostic criteria], with area under the curve, sensitivity and specificity as 0.909, 71.43% and 96.72%, respectively. Conclusions: The Activities and Participation component of the ICF Sleep Disorders Brief Core Set could have the potential to predict the impairment of attention and work ability in OSA patients. It provides a new perspective for the identification of OSA patients' disturbances in daily activities and improving the overall assessment level.

A Nomogram Based on Consolidation Tumor Ratio Combined with Solid or Micropapillary Patterns for Postoperative Recurrence in Pathological Stage IA Lung Adenocarcinoma.

BACKGROUND: Patients with pathological stage IA lung adenocarcinoma (LUAD) are at risk of relapse. The value of the TNM staging system is limited in predicting recurrence. Our study aimed to develop a precise recurrence prediction model for stage IA LUAD. MATERIALS AND METHODS: Patients with pathological stage IA LUAD who received surgical treatment at Zhongshan Hospital Fudan University were retrospectively analyzed. Multivariate Cox proportional hazards regression models were used to create nomograms for recurrence-free survival (RFS). The predictive performance of the model was assessed using calibration plots and the concordance index (C-index). RESULTS: The multivariate Cox regression analysis revealed that CTR (0.75 < CTR ≤ 1; HR = 9.882, 95% CI: 2.036-47.959, p = 0.004) and solid/micropapillary-predominance (SMPP; >5% and the most dominant) (HR = 4.743, 95% CI: 1.506-14.933, p = 0.008) were independent prognostic factors of RFS. These risk factors were used to construct a nomogram to predict postoperative recurrence in these patients. The C-index of the nomogram for predicting RFS was higher than that of the eighth T-stage system (0.873 for the nomogram and 0.643 for the eighth T stage). The nomogram also achieved good predictive performance for RFS with a well-fitted calibration curve. CONCLUSIONS: We developed and validated a nomogram based on CTR and SMP patterns for predicting postoperative recurrence in pathological stage IA LUAD. This model is simple to operate and has better predictive performance than the eighth T stage system, making it suitable for selecting further adjuvant treatment and follow-up.

Determination of ten antipsychotics in blood, hair and nails: Validation of a LC-MS/MS method and forensic application of keratinized matrix analysis.

Determination of antipsychotics from biological samples is meaningful in the field of clinical and forensic medicine. Compared to blood, keratinized matrices such as hair and nails have attracted increasing attention in drug analysis for wider detection window. Nevertheless, the distribution and stability of antipsychotics in keratinized matrices are not clarified yet. Therefore, we developed a LC-MS/MS based method for simultaneous determination of 10 antipsychotics from blood, hair and nails, with high recovery (78.1-107.4%, 71.3-93.5% and 75.2-90.5%), low LOD (5-10 pg/mL, 5-10 pg/mg and 5 pg/mg) and high accuracy (96.0%-101.6%, 97.5%-102.5% and 97.6-101.7%). The method was applied to sets of blood, hair, and nail samples of 54 patients who received long-term therapy, and significant correlations between drug concentrations in blood and hair was found, while the correlation between nails and other matrices varied depending on the drug. Except for olanzapine, the concentrations of antipsychotics in segmental hair samples were consistent with drug exposure. Besides, the hair and nail samples of suspects in two forensic cases were analyzed and provided supporting evidence for the suspects' psychiatric state. Our research offered a deeper understanding of keratinized matrix as stable and retrospective bio-samples for antipsychotics detection in forensic practice.

Identification and functional characterization of developmental-stage-dependent piRNAs in Tibetan sheep testes.

The core function of the testes is to produce sperms, which is the prerequisite for maintaining male fertility. PIWI-interacting RNAs (piRNAs) are a class of non-coding small RNAs that are mainly enriched in the reproductive organ and play a key role in germ cell development and spermatogenesis. However, the expression and function of piRNAs in the testes of Tibetan sheep, a domestic animal endemic to the Tibetan Plateau, remain unknown. In this study, we evaluated the sequence structure, expression profile, and potential function of piRNAs in testicular tissues from Tibetan sheep at different developmental stages (3 months, 1 year, and 3 years of age, respectively) by small RNA sequencing. Of the identified piRNAs, the sequence lengths of 24-26 nt and 29 nt dominate. Most piRNA sequences begin with uracil and have a distinct ping-pong structure which mainly distributes in exons, repeat regions, introns, and other unannotated regions of the genome. The piRNAs in the repeat region are primarily derived from the retrotransposons: long terminal repeats, long interspersed nuclear elements, and short interspersed elements. These piRNAs constitute 2,568 piRNA clusters, which mainly distribute on chromosomes 1, 2, 3, 5, 11, 13, 14, and 24, and of these clusters, a total of 529 piRNA clusters were differentially expressed in at least two age groups. Most of the piRNAs were expressed in a low abundance in the testes of developing Tibetan sheep. A total of 41,552 and 2,529 differential piRNAs were identified in testes from 3 months vs. 1 year, and 1 year vs. 3 years, respectively, presenting significantly increased abundance for most piRNAs in 1 year and 3 years compared with 3 months. The functional evaluation of the target genes showed that the differential piRNAs are mainly involved in regulating gene expression, transcription, protein modification, and cell development during spermatogenesis and testicular development. In conclusion, this study focused on the sequence structure and expression characteristics of piRNAs in the testis of Tibetan sheep and provided new insights into the functional mechanism of piRNAs in testicular development and spermatogenesis of sheep.

The testis in mammals plays an indispensable role in male fertility, in which the development and function are strictly regulated by a variety of non-coding small RNAs. PIWI-interacting RNAs (piRNAs) are the most abundant non-coding small RNAs in mammalian testes, playing an irreplaceable role in testicular development and spermatogenesis. To characterize the piRNA expression and investigate their potential biological function in developmental Tibetan sheep testes, we carried out RNA sequencing. Our results revealed that the length distribution of the identified piRNAs is mostly 24­26 nt and 29 nt, exhibiting a preference for uracil at their 5' end and significant ping-pong structure. Most piRNAs were differentially expressed in Tibetan sheep testes in a development-age-dependent manner, and the vast majority of them were upregulated in postpubertal and adult testes. Based on the functional annotation of piRNA target genes, they were mainly implicated in the regulation of gene expression, transcription, protein modification and development during testicular development and spermatogenesis.

Optical trapping of two different microparticles by a double-tapered fiber probe.

We theoretically and experimentally study the optical trapping of two different microparticles by a double-tapered optical fiber probe (DOFP) which is fabricated by the interfacial etching method. A SiO2 microsphere and a yeast, or two SiO2 microspheres with different diameters, are trapped. We calculate and measure the trapping forces on the two microparticles, discuss the impacts of the geometrical size and refractive index on the trapping forces. Both the theoretical calculation and experimental measurements indicate that if the two particles have the same refractive index, the larger the second particle is, the larger the trapping force is. Whereas, if the two particles have the same geometrical size, the smaller the refractive index is, the lager trapping force is. Trapping and manipulation of different multiple microparticles by a DOFP enhance the application of optical tweezers, especially in biomedical engineering and material science.

Association between Cardiovascular Response and Inflammatory Cytokines in Non-Small Cell Lung Cancer Patients.

Cardiovascular disease is an essential comorbidity in patients with non-small cell lung cancer (NSCLC) and represents an independent risk factor for increased mortality. Therefore, careful monitoring of cardiovascular disease is crucial in the healthcare of NSCLC patients. Inflammatory factors have previously been associated with myocardial damage in NSCLC patients, but it remains unclear whether serum inflammatory factors can be utilized to assess the cardiovascular health status in NSCLC patients. A total of 118 NSCLC patients were enrolled in this cross-sectional study, and their baseline data were collected through a hospital electronic medical record system. Enzyme-linked immunosorbent assay (ELISA) was used to measure the serum levels of leukemia inhibitory factor (LIF), interleukin (IL)-18, IL-1ß, transforming growth factor-ß1 (TGF-ß1), and connective tissue growth factor (CTGF). Statistical analysis was performed using the SPSS software. Multivariate and ordinal logistic regression models were constructed. The data revealed an increased serum level of LIF in the group using tyrosine kinase inhibitor (TKI)-targeted drugs compared to non-users (p < 0.001). Furthermore, serum TGF-ß1 (area under the curve, AUC: 0.616) and cardiac troponin T (cTnT) (AUC: 0.720) levels were clinically evaluated and found to be correlated with pre-clinical cardiovascular injury in NSCLC patients. Notably, the serum levels of cTnT and TGF-ß1 were found to indicate the extent of pre-clinical cardiovascular injury in NSCLC patients. In conclusion, the results suggest that serum LIF, as well as TGFß1 together with cTnT, are potential serum biomarkers for the assessment of cardiovascular status in NSCLC patients. These findings offer novel insights into the assessment of cardiovascular health and underscore the importance of monitoring cardiovascular health in the management of NSCLC patients.

Superior Selective CO2 Adsorption and Separation over N2 and CH4 of Porous Carbon Nitride Nanosheets: Insights from GCMC and DFT Simulations.

Development of high-performance materials for the capture and separation of CO2 from the gas mixture is significant to alleviate carbon emission and mitigate the greenhouse effect. In this work, a novel structure of C9N7 slit was developed to explore its CO2 adsorption capacity and selectivity using Grand Canonical Monte Carlo (GCMC) and Density Functional Theory (DFT) calculations. Among varying slit widths, C9N7 with the slit width of 0.7 nm exhibited remarkable CO2 uptake with superior CO2/N2 and CO2/CH4 selectivity. At 1 bar and 298 K, a maximum CO2 adsorption capacity can be obtained as high as 7.06 mmol/g, and the selectivity of CO2/N2 and CO2/CH4 was 41.43 and 18.67, respectively. In the presence of H2O, the CO2 uptake of C9N7 slit decreased slightly as the water content increased, showing better water tolerance. Furthermore, the underlying mechanism of highly selective CO2 adsorption and separation on the C9N7 surface was revealed. The closer the adsorption distance, the stronger the interaction energy between the gas molecule and the C9N7 surface. The strong interaction between the C9N7 nanosheet and the CO2 molecule contributes to its impressive CO2 uptake and selectivity performance, suggesting that the C9N7 slit could be a promising candidate for CO2 capture and separation.

Rapid and sensitive immunoassay for alpha-fetoprotein in serum by fabricating primary antibody-enzyme complexes using protein self-assembly.

Primary antibody-enzyme complexes (PAECs) are ideal immunosensing elements that simplify the immunoassay process and improve the uniformity of results due to their ability to both recognize antigens and catalyze substrates. However, the conventional fabrication methods of PAECs, such as direct gene fusion expression, chemical conjugation, enzymatic conjugation, etc., have low efficiency, poor reliability, and other defects, which limit the widespread application of PAECs. Therefore, we developed a convenient method for the fabrication of homogeneous multivalent PAECs using protein self-assembly and validated it using anti-alpha-fetoprotein nanobody (A1) and alkaline phosphatase (ALP) as models. Heptavalent PAECs showed a 4-fold enhancement in enzymatic catalytic activity compared to monovalent PAECs. Further, to verify the application of developed heptavalent PAECs in immunoassay, heptavalent PAECs were used as bifunctional probes to construct a double-antibody sandwich ELISA to detect AFP. The detection limit of the developed heptavalent PAEC-based ELISA is 0.69 ng mL-1, which is about 3 times higher than that of monovalent PAECs, and the whole detection process can be completed within 3 hours. In short, the proposed protein self-assembling method is a promising technology for developing high-performance heptavalent PACEs, which can simplify the detection process and improve detection sensitivity in various immunoassays.