Plasmodium vivax populations in the western Greater Mekong Subregion evaluated using a genetic barcode.

An improved understanding of the Plasmodium vivax populations in the Great Mekong Subregion (GMS) is needed to monitor the progress of malaria elimination. This study aimed to use a P. vivax single nucleotide polymorphism (SNP) barcode to evaluate the population dynamics and explore the gene flow among P. vivax parasite populations in the western GMS (China, Myanmar and Thailand). A total of 315 P. vivax patient samples collected in 2011 and 2018 from four regions of the western GMS were genotyped for 42 SNPs using the high-throughput MassARRAY SNP genotyping technology. Population genetic analysis was conducted to estimate the genetic diversity, effective population size, and population structure among the P. vivax populations. Overall, 291 samples were successfully genotyped at 39 SNPs. A significant difference was observed in the proportion of polyclonal infections among the five P. vivax populations (P = 0.0012, Pearson Chi-square test, χ2 = 18.1), with western Myanmar having the highest proportion (96.2%, 50/52) in 2018. Likewise, the average complexity of infection was also highest in western Myanmar (1.31) and lowest in northeast Myanmar (1.01) in 2018. The older samples from western China in 2011 had the highest pairwise nucleotide diversity (π, 0.388 ± 0.046), expected heterozygosity (He, 0.363 ± 0.02), and the largest effective population size. In comparison, in the neighboring northeast Myanmar, the more recent samples in 2018 showed the lowest values (π, 0.224 ± 0.036; He, 0.220 ± 0.026). Furthermore, the 2018 northeast Myanmar parasites showed high and moderate genetic differentiation from other populations with FST values of 0.162-0.252, whereas genetic differentiation among other populations was relatively low (FST ≤ 0.059). Principal component analysis, phylogeny, and STRUCTURE analysis showed that the P. vivax population in northeast Myanmar in 2018 substantially diverged from other populations. Although the 42 SNP barcode is a valuable tool for tracking parasite origins of worldwide parasite populations, a more extended barcode with additional SNPs is needed to distinguish the more related parasite populations in the western GMS.

The implementation of robotic dogs in automatic detection and surveillance of red imported fire ant nests.

BACKGROUND: The Red Imported Fire Ant (RIFA), scientifically known as Solenopsis invicta, is a destructive invasive species causing considerable harm to ecosystems and generating substantial economic costs globally. Traditional methods for RIFA nests detection are labor-intensive and may not be scalable to larger field areas. This study aimed to develop an innovative surveillance system that leverages artificial intelligence (AI) and robotic dogs to automate the detection and geolocation of RIFA nests, thereby improving monitoring and control strategies. RESULTS: The designed surveillance system, through integrating the CyberDog robotic platform with a YOLOX AI model, demonstrated RIFA nest detection precision rates of >90%. The YOLOX model was trained on a dataset containing 1118 images and achieved a final precision rate of 0.95, with an inference time of 20.16 ms per image, indicating real-time operational suitability. Field tests revealed that the CyberDog system identified three times more nests than trained human inspectors, with significantly lower rates of missed detections and false positives. CONCLUSION: The findings underscore the potential of AI-driven robotic systems in advancing pest management. The CyberDog/YOLOX system not only matched human inspectors in speed, but also exceeded them in accuracy and efficiency. This study's results are significant as they highlight how technology can be harnessed to address biological invasions, offering a more effective, ecologically friendly, and scalable solution for RIFA detection. The successful implementation of this system could pave the way for broader applications in environmental monitoring and pest control, ultimately contributing to the preservation of biodiversity and economic stability. © 2024 Society of Chemical Industry.

Mitochondria- and endoplasmic reticulum-localizing iridium(III) complexes induce immunogenic cell death of 143B cells.

Recent breakthroughs in cancer immunology have propelled immunotherapy to the forefront of cancer research as a promising treatment approach that harnesses the body's immune system to effectively identify and eliminate cancer cells. In this study, three novel cyclometalated Ir(III) complexes, Ir1, Ir2, and Ir3, were designed, synthesized, and assessed in vitro for cytotoxic activity against several tumor-derived cell lines. Among these, Ir1 exhibited the highest cytotoxic activity, with an IC50 value of 0.4 ± 0.1 µM showcasing its significant anticancer potential. Detailed mechanistic analysis revealed that co-incubation of Ir1 with 143B cells led to Ir1 accumulation within mitochondria and the endoplasmic reticulum (ER). Furthermore, Ir1 induced G0/G1 phase cell cycle arrest, while also diminishing mitochondrial membrane potential, disrupting mitochondrial function, and triggering ER stress. Intriguingly, in mice the Ir1-induced ER stress response disrupted calcium homeostasis to thereby trigger immunogenic cell death (ICD), which subsequently activated the host antitumor immune response while concurrently dampening the in vivo tumor-induced inflammatory response.

The relationship between organizational support, professional quality of life, decent work, and professional well-being among nurses: a cross-sectional study.

BACKGROUND: Nurses often face challenges such as inadequate welfare protection, injustice, and workplace adversity including violence, bullying, and sexual harassment. In this context, providing sufficient support to nurses is crucial for the promotion of their professional well-being. This study examines the direct and indirect effects of perceived organizational support on nurses' well-being, particularly highlighting the mediating roles of professional quality of life and the perception of decent work. METHODS: A cross-sectional survey design was employed in this study. Convenience sampling was used to survey 792 nurses from five tertiary A-grade hospitals in Shanxi Province in January 2024. Data collection tools included a custom demographic survey, the Perceived Organizational Support Scale, Professional Quality of Life Scale, Decent Work Perception Scale, and Nurse Occupational Well-being Questionnaire. Descriptive statistics, correlation analysis, and mediation effect analyses were performed. RESULTS: The findings demonstrate that perceived organizational support has a direct impact on nurses' occupational well-being (ß = 0.323, p < 0.001). Additionally, professional quality of life and the perception of decent work play chain mediating roles between perceived organizational support and nurses' well-being (ß = 0.019, BootLLCI = 0.010, BootULCI = 0.030). CONCLUSIONS: This study highlighted the importance of organizational support in enhancing nurses' well-being. Professional quality of life and decent work were key mediators. Healthcare institutions should prioritize support measures to improve nurses' well-being. Future research should explore additional mediators and mechanisms to develop effective strategies for nursing policymakers and administrators.

Nano-enzyme functionalized hydrogels promote diabetic wound healing through immune microenvironment modulation.

Non-healing diabetic wounds often culminate in amputation and mortality. The main pathophysiological features in diabetic wounds involve the accumulation of M1-type macrophages and excessive oxidative stress. In this study, we engineered a nano-enzyme functionalized hydrogel by incorporating a magnesium ion-doped molybdenum-based polymetallic oxide (Mg-POM), a novel bioactive nano-enzyme, into a GelMA hydrogel, to obtain the GelMA@Mg-POM system to enhance diabetic wound healing. GelMA@Mg-POM was crosslinked using UV light, yielding a hydrogel with a uniformly porous three-dimensional mesh structure. In vitro experiments showed that GelMA@Mg-POM extraction significantly enhanced human umbilical vein endothelial cell (HUVEC) migration, scavenged ROS, improved the inflammatory microenvironment, induced macrophage reprogramming towards M2, and promoted HUVEC regeneration of CD31 and fibroblast regeneration of type I collagen. In in vivo experiments, diabetic rat wounds treated with GelMA@Mg-POM displayed enhanced granulation tissue genesis and collagen production, as evidenced by HE and Masson staining. Immunohistochemistry demonstrated the ability of GelMA@Mg-POM to mitigate macrophage-associated inflammatory responses and promote angiogenesis. Overall, these findings suggest that GelMA@Mg-POM holds significant promise as a biomaterial for treating diabetic wounds.

Effects of Drying Methods on Morphological Characteristics, Metabolite Content, and Antioxidant Capacity of Cordyceps sinensis.

Cordyceps sinensis is a rare and endangered medicinal herb in China and a typical medicinal and food plant. Most of the research related to Cordyceps sinensis focuses on its pharmacological effects, artificial cultivation and clinical applications. However, there are few comprehensive evaluations on the quality of Cordyceps sinensis under different drying methods. In this study, the effects of vacuum freeze-drying (DG), oven-drying (HG) and air-drying (YG) on the morphological characteristics, microstructure, antioxidant activity and metabolites of Cordyceps sinensis were investigated using wild Cordyceps sinensis as the research object. The results showed that in their appearance and morphology, the YG- and HG-method Cordyceps sinensis samples were darker in color and wilted, while the DG- method Cordyceps sinensis samples were golden yellow in color and had better fullness. In terms of microstructure, the stomata of the YG and HG method Cordyceps sinensis samples were relatively small and irregularly shaped, whereas those of the DG method Cordyceps sinensis samples were larger and neat. In terms of antioxidant capacity, the HG-method samples were the lowest, followed by the YG group, and the DG group had the highest total antioxidant capacity. A correlation analysis revealed a significant relationship between antioxidant capacity and lipids, lipid molecules, nucleosides, nucleotides, and analogs. A metabolomics analysis identified 1937 metabolites from 18 superclasses, with lipids, lipid-like molecules, organic acids and derivatives, organoheterocyclic compounds, and organic oxygen compounds being the predominant metabolites in Cordyceps sinensis. Differentially accumulated metabolites (DAMs) in DG samples showed higher levels of lipids and lipid molecules, organic oxygen compounds, organic acids and derivatives, and organoheterocyclic compounds compared to the other drying methods, suggesting DG as the optimal preservation method for Cordyceps sinensis. These findings offer insights for selecting appropriate drying methods and maintaining the post-drying quality of Cordyceps sinensis.

Interaction of childhood trauma with BDNF and FKBP5 gene polymorphisms in predicting burnout in general occupational groups.

Both the BDNF gene rs6265 and the FKBP5 gene rs1360780 polymorphisms are independently associated with adult psychotic-like experiences, when exposed to high childhood abuse; however, it remains unclear whether the relationship between childhood abuse and burnout is moderated by these two single nucleotide polymorphisms (SNPs). Furthermore, there is an interaction between glucocorticoid receptor transcriptional activity and BDNF signaling. Therefore, we investigated the interaction of these two SNPs with childhood trauma in predicting burnout. We recruited 990 participants (mean age 33.06 years, S.D. = 6.31) from general occupational groups and genotyped them for rs6265 and rs1360780. Burnout, childhood trauma, resilience, and job stress were measured through a series of rating scales. Gene-by-environment and gene-by-gene-by-environment interactions were examined using linear hierarchical regression and PROCESS macro in SPSS. Covariates included demographics and resilience. We found that rs6265 moderated the association between job stress and emotional exhaustion. Both rs6265 and rs1360780 moderated the association between childhood abuse and cynicism. There was significant interaction of childhood abuse × rs6265 × rs1360780 on emotional exhaustion and reduced personal accomplishment, so that rs6265 CC genotype and rs1360780 TT genotype together predicted higher levels of emotional exhaustion under high childhood abuse, while rs6265 TT genotype and rs1360780 CC genotype together exerted a resilient effect on reduced personal accomplishment in the face of childhood abuse. Our findings suggest that the rs6265 CC genotype and rs1360780 TT genotype may jointly contribute to increased risk of burnout under childhood trauma.

Genetic polymorphisms in the 5-HT and endocannabinoid systems moderate the association between childhood trauma and burnout in the general occupational population.

BACKGROUND: Interactions between the serotonin (5-HT) and endocannabinoid (eCB) systems have been reported in the psychopathology of stress-related symptoms, while their interplay in regulating the relationship between childhood trauma and burnout remains unclear. In this study, we investigated the interaction of childhood trauma with genetic polymorphisms in these two systems in predicting burnout. METHODS: Burnout, childhood trauma, and job stress were assessed using rating scales in 992 general occupational individuals. Genetic polymorphisms including HTR2A rs6313, 5-HTT rs6354 and FAAH rs324420, were genotyped. Linear hierarchical regression analysis and PROCESS macro in SPSS were used to examine two- and three-way interactions. RESULTS: There were significant interactions of job stress × HTR2A rs6313 and childhood abuse × FAAH rs324420 on reduced personal accomplishment. Moreover, we found significant three-way interactions of childhood abuse × FAAH rs324420 × HTR2A rs6313 on cynicism and reduced personal accomplishment, childhood abuse × FAAH rs324420 × 5-HTT rs6354 on emotional exhaustion, and childhood neglect × FAAH rs324420 × 5-HTT rs6354 on reduced personal accomplishment. These results suggest that the FAAH rs324420 A allele carriers, when with some specific genetic polymorphisms of 5-HT system, would show more positive associations between childhood trauma and burnout. CONCLUSIONS: Genetic polymorphisms in the 5-HT and eCB systems may jointly moderate the impact of childhood trauma on burnout.

Complete chloroplast genomes and phylogenetic relationships of Pedicularis chinensis and Pedicularis kansuensis.

The complete cp genomes of Pedicularis chinensis (GenBank accession number: OQ587614) and Pedicularis kansuensis (GenBank accession number: OQ587613) were sequenced, assembled, and annotated. Their chloroplast (cp) genome lengths were 146,452 bp, and 146,852 bp, respectively; 120 and 116 genes were identified, comprising 75 and 72 protein-coding genes (PCGs), 37 and 36 transfer RNA (tRNA) genes, and 8 and 8 ribosomal RNA (rRNA) genes, for P. chinensis and P. kansuensis, respectively. A simple sequence repeat (SSR) analysis revealed that the repetitive sequences were mainly composed of mononucleotide repeats (A/T motif) and dinucleotide repeats (AT/TA motif). Comparative genomics identified several variant genes (rpl22, rps19, rpl12, ycf1, trnH, psbA, and ndhH) and variant regions (trnS-GGA, trnV-UAC, ndhJ-trnV, ycf4-cemA, ndhE-nhdG, and rpl32-trnL) with a high Pi, indicating the potential to serve as deoxyribo nucleic acid (DNA) barcodes for Pedicularis species identification. The results show that the cp genomes of P. chinensis and P. kansuensis were the same as those of other plants in Pedicularis, with different degrees of AT preference for codons. Large differences in the number of SSRs and the expansion of the inverted repeat (IR) region showed strong variability and interspecific differentiation between these two species and other species represented in the genus Pedicularis. A phylogenetic analysis showed that P. kansuensis had the closest relationship with P. oliveriana, and P. chinensis had the closest relationship with P. aschistorhyncha. These results will facilitate the study of the phylogenetic classification and interspecific evolution of Pedicularis plants.

Myocardial infarction accelerates the progression of MASH by triggering immunoinflammatory response and induction of periosti.

Patients with metabolic dysfunction-associated steatotic liver disease (MASLD), especially advanced metabolic dysfunction-associated steatohepatitis (MASH), have an increased risk of cardiovascular diseases (CVDs). Whether CVD events will, in turn, influence the pathogenesis of MASLD remains unknown. Here, we show that myocardial infarction (MI) accelerates hepatic pathological progression of MASLD. Patients with MASLD who experience CVD events after their diagnosis exhibit accelerated liver fibrosis progression. MI promotes hepatic fibrosis in mice with MASH, accompanied by elevated circulating Ly6Chi monocytes and their recruitment to damaged liver tissues. These adverse effects are significantly abrogated when deleting these cells. Meanwhile, MI substantially increases circulating and cardiac periostin levels, which act on hepatocytes and stellate cells to promote hepatic lipid accumulation and fibrosis, finally exacerbating hepatic pathological progression of MASH. These preclinical and clinical results demonstrate that MI alters systemic homeostasis and upregulates pro-fibrotic factor production, triggering cross-disease communication that accelerates hepatic pathological progression of MASLD.

rGO/ZIF-8 Aerogel for Effective Removal of Malachite Green from Wastewater.

In this study, dopamine-modified graphene aerogel (DGA) is synthesized through a one-step hydrothermal method using graphene oxide as the precursor and dopamine as the reducing agent. Subsequently, in situ immersion synthesis is conducted to obtain ZIF-8 loaded on a dopamine-modified graphene aerogel skeleton (ZDGA), featuring a regular honeycomb interconnected mesoporosity and a high specific surface area of 532.8 m2/g. The synthesized ZDGA exhibited exceptional adsorption performance for the cationic dye malachite green. At room temperature, ZDGA achieved an impressive equilibrium adsorption capacity of 6578.34 mg/g. The adsorption process followed pseudo-secondary kinetics and adhered to the Langmuir model, indicating chemically dominated adsorption on a monomolecular layer. Intraparticle diffusion was the primary rate determinant, with π-π stacking, electrostatic adsorption, hydrogen bonding, and Lewis acid-base interactions serving as the key driving forces. It has an ideal specific surface area and good cycling performance, which highlights its potential application in dye wastewater treatment.

Distribution, mobilization, risk assessment and source identification of heavy metals and nutrients in surface sediments of three urban-rural rivers after long-term water pollution treatment.

Sediments are critical pollution carriers in urban-rural rivers, which can threaten the water quality of the river and downstream lakes for a long time. However, it is still not clear whether conventional water pollution treatments could abate sediment pollution or not. In this study, heavy metals (HMs) and nutrient salts in the surface sediments and overlying water were investigated after decades' water pollution treatment in three urban-rural rivers. HM speciation was determined by the sequential extraction; diffusion fluxes were estimated using Fick's first law; HM ecological risk and nutrient pollution were evaluated; and pollution sources were identified by statistical analysis and GIS. The results showed that the HMs and nutrients were extremely serious in the urban regions. The accumulation level of Pb, Cu and Cd in the sediments of the three rivers were all much higher than the soil background value, and the labile fractions accounted for high proportions (57 % for Pb, 55 % for Cu and 43 % for Cd), which could be easily eluate from the sediments and caused hazards to the aquatic environment. The sediment diffusion fluxes of HMs and ammonia nitrogen were mostly positive, which indicated these sites currently released these pollutants from sediment to overlying water. Cd, Pb, Cu and Cr may mainly originate from industrial discharge and domestic sewage, while Cr was also greatly affected by crustal weathering; nutrient pollution may originate from agricultural activities and domestic sewage. Our study demonstrated that after decades' conventional water treatment in these rivers, the sediment pollution was still in a serious level with high ecological risk, and Cd was the dominant pollutant. At present, the external point source pollution has been effectively controlled, thus, the in-depth understanding of the sediment pollution characteristics after long-term water treatment could provide a scientific basis for the accurate elimination of river pollution.

Effects of temporal changes in resting heart rate on future diabetes-related outcomes.

Background and aims: Most studies have analyzed the relationship between resting heart rate (RHR) measured at only one time point and future clinical events. The current study aims to investigate the impact of long-term RHR changes on future clinical outcomes in a decade-long cohort with type 2 diabetes mellitus (T2DM). Methods: The two-staged follow-up involved 2,513 T2DM participants. The first stage (2008-2014) intended to identify levels and trends in RHR changes, while the second stage (2014-2018) attempted to collect new occurrence records of clinical results. Cox proportional hazards models were applied to predict hazard ratios (HRs), along with 95% confidence interval (CI) for the correlation between RHR changes and future events. Results: There is no significant correlation between baseline RHR levels and long-term clinical events. According to the range of RHR change, compared with the stable RHR group, the adjusted HRs for cardiovascular events and all-cause death in the large increase group were 3.40 (95% CI: 1.33-8.71, p=0.010) and 3.22 (95% CI: 1.07-9.64, p=0.037), respectively. While the adjusted HRs for all-cause death and major adverse cardiac and cerebrovascular events (MACCE) in the moderate decrease group were 0.55 (95% CI: 0.31-0.96, p=0.037) and 0.51 (95% CI: 0.26-0.98, p=0.046). According to the trend of RHR, compared with the normal-normal group, the adjusted HRs for composite endpoint events and cerebrovascular events in the normal-high group were 1.64 (95% CI: 1.00-2.68, p=0.047) and 2.82 (95% CI: 1.03-7.76, p=0.043), respectively. Conclusion: Changes in RHR had predictive value for long-term clinical events in diabetic populations. Individuals with significantly elevated RHR over a particular period of time showed an increased risk of adverse events.

Density functional theory study on the formation mechanism and electrical properties of two-dimensional electron gas in biaxial-strained LaGaO 3 /BaSnO 3 heterostructure.

The two-dimensional electron gas (2DEG) in BaSnO 3 -based heterostructure (HS) has received tremendous attention in the electronic applications because of its excellent electron migration characteristic. We modeled the n-type (LaO) + /(SnO 2 ) 0 interface by depositing LaGaO 3 film on the BaSnO 3 substrate and explored strain effects on the critical thickness for forming 2DEG and electrical properties of LaGaO 3 /BaSnO 3 HS system using first-principles electronic structure calculations. The results indicate that to form 2DEG in the unstrained LaGaO 3 /BaSnO 3 HS system, a minimum thickness of approximately 4 unit cells of LaGaO 3 film is necessary. An increased film thickness of LaGaO 3 is required to form the 2DEG for -3%-biaxially-strained HS system and the critical thickness is 3 unit cells for 3%-baxially-strained HS system, which is caused by the strain-induced change of the electrostatic potential in LaGaO 3 film. In addition, the biaxial strain plays an important role in tailoring the electrical properties of 2DEG in LaGaO 3 /BaSnO 3 HS syestem. The interfacial charge carrier density, electron mobility and electrical conductivity can be optimized when a moderate tensile strain is applied on the BaSnO 3 substrate in the ab-plane.

Evaluation of Cordyceps sinensis Quality in 15 Production Areas Using Metabolomics and the Membership Function Method.

Cordyceps sinensis is a precious medicinal and edible fungus, which is widely used in body health care and disease prevention. The current research focuses on the comparison of metabolite characteristics between a small number of samples and lacks a comprehensive evaluation of the quality of C. sinensis in a large-scale space. In this study, LC-MS/MS, principal component analysis (PCA), hierarchical cluster analysis (HCA), and the membership function method were used to comprehensively evaluate the characteristics and quality of metabolites in 15 main producing areas of C. sinensis in China. The results showed that a total of 130 categories, 14 supercategories, and 1718 metabolites were identified. Carboxylic acids and derivatives, fatty acyls, organo-oxygen compounds, benzene and substituted derivatives, prenol lipids, and glycerophospholipids were the main components of C. sinensis. The HCA analysis and KEGG pathway enrichment analysis of 559 differentially accumulated metabolites (DAMs) showed that the accumulation models of fatty acids and conjugates and carbohydrates and carbohydrate conjugates in glycerophospholipid metabolism and arginine and proline metabolism may be one of the reasons for the quality differences in C. sinensis in different producing areas. In addition, a total of 18 biomarkers were identified and validated, which had a significant discrimination effect on the samples (p < 0.05). Overall, YS, BR, and ZD, with the highest membership function values, are rich and balanced in nutrients. They are excellent raw materials for the development of functional foods and provide scientific guidance for consumers to nourish health care.

Metabolomic Profiling of Floccularia luteovirens from Different Geographical Regions Proposes a Novel Perspective on Their Antioxidative Activities.

Floccularia luteovirens, an endemic resource of the Tibetan Plateau, possesses significant medicinal and ecological values. However, the understanding of antioxidant capacity and metabolic profiling of F. luteovirens from diverse regions remains elusive due to limited resources. Therefore, to comprehensively comprehend the antioxidant capacity and metabolite diversity of F. luteovirens, we conducted a rounded analysis of its antioxidant capacity from three distinct regions using both untargeted and targeted metabolomics. Determination of antioxidant indices, such as ferric ion-reducing antioxidant power (FRAP), total phenolic content (TPC), and flavonoid content (FC), revealed the robust antioxidant capacity of F. luteovirens. QL F. luteovirens (QLFL) exhibited no significant difference compared to ZD F. luteovirens (ZDFL); however, both were significantly distinct from XH F. luteovirens (XHFL) across multiple indices. Furthermore, a positive correlation was observed between FRAP and flavonoid content. A total of 5782 metabolites were identified and chemically classified. Metabolites of F. luteovirens varied significantly at different regions and eight key differential metabolites were screened. Phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, and cyanoamino acid metabolism were the main different regulatory pathways. Consequently, the disparities in the antioxidant activity of F. luteovirens may primarily be ascribed to the biosynthesis and metabolism of phenylalanine, while vanillic acid could potentially serve as a pivotal metabolite influencing the antioxidative capacity of F. luteovirens by targeted metabolomics. These findings enhance our understanding of the composition of F. luteovirens and provide valuable resources for its comprehensive utilization and targeted development.

Preclinical characterization of a novel investigational monoclonal antibody CM313 with potent CD38-positive cell killing activity.

Introduction: CM313 is currently under clinical investigation for treatments of multiple myeloma, systemic lupus erythematosus, and immune thrombocytopenia. We aimed to report the preclinical profile of the novel therapeutic anti-CD38 monoclonal antibody (mAb) CM313, with an emphasis on the difference with other CD38-targeting mAb. Methods: The binding of CM313 to CD38 recombinant protein across species was assessed using ELISA. The binding of CM313 to CD38-positive (CD38+) cells was detected using flow cytometry assays. CM313-induced complement-dependent cytotoxicity (CDC), antibody-dependent cellular cytotoxicity (ADCC), antibody-dependent cellular phagocytosis (ADCP) and apoptosis on different CD38+ cells were assessed by LDH release assays or flow cytometry assays. The effect of CM313 on CD38 enzymatic activity was measured using fluorescence spectroscopy. CM313 immunotoxicity in human blood was assessed using flow cytometry assays, ELISA, and LDH release assays. Anti-tumor activity of CM313 was assessed in multiple mouse xenograft models. Safety profile of CM313 were evaluated in cynomolgus monkeys and human CD38 transgenic (B-hCD38) mice. Results: There exist unique sequences at complementarity-determining regions (CDR) of CM313, which facilitates its affinity to CD38 is consistently higher across a spectrum of CD38+ cell lines than daratumumab. In vitro studies showed that CM313 induces comparable killing activity than daratumumab, including ADCC, CDC, ADCP, apoptosis induced by Fc-mediated cross-linking, and effectively inhibited the enzymatic activity of CD38. However, CM313 showed more potent CDC than isatuximab. In vivo, CM313 dose-dependently inhibited xenograft tumor growth, both as a monotherapy and in combination with dexamethasone or lenalidomide. Furthermore, CM313 was well tolerated with no drug-related clinical signs or off-target risks, as evidenced by 4-week repeat-dose toxicology studies in cynomolgus monkeys and B-hCD38 mice, with the later study showing no observed adverse effect level (NOAEL) of 300mg/kg once weekly. Discussion: CM313 is a novel investigational humanized mAb with a distinct CDR sequence, showing comparable killing effects with daratumumab and stronger CDC activity than isatuximab, which supports its clinical development.

Effects of selective serotonin reuptake inhibitors (SSRIs) on suicide: A network meta-analysis of double-blind randomized trials.

The relationship between the use of selective serotonin reuptake inhibitors (SSRIs) and suicide risk in patients with mental disorders remains controversial. We conducted a network meta-analysis to examine the effects of SSRIs on suicide risk in patients with mental disorders. A comprehensive search was conducted across PubMed, Web of Science, PsycINFO, CENTRAL, Wanfang Database, and China National Knowledge Infrastructure for articles published until December 19, 2023. The main outcomes were suicidal ideation and instances of suicidal behavior. We included 29 double-blind randomized trials in our analysis. The findings suggest that SSRIs primarily offer short-term protection against suicidal ideation. By week 2, paroxetine, fluoxetine, escitalopram, and non-SSRI treatments were linked to a decreased suicide risk compared with a placebo, with the exception of sertraline. This protective effect was diminished by week 8. In contrast, studies on instances of suicidal behavior from weeks 1 to 10 found no significant difference in efficacy between SSRIs, non-SSRIs, and placebo. These results indicate that SSRIs may offer short-term protection against suicidal ideation. However, their long-term effectiveness in mitigating suicidal ideation and preventing suicidal behaviors is limited.

Comparative Analysis of Chloroplast Genomes for the Genus Manglietia Blume (Magnoliaceae): Molecular Structure and Phylogenetic Evolution.

Manglietia Blume, belonging to the Magnoliaceae family and mainly distributed in tropical and subtropical regions of Asia, has great scientific and economic value. In this study, we employed next-generation sequencing followed by de novo assembly to investigate the adaptive evolution of Manglietia using plastid genetic information. We newly sequenced the complete or nearly complete plastomes of four Manglietia species (Manglietia aromatica, Manglietia calcarea, Manglietia kwangtungensis, and Manglietia glauca) and conducted comparative analysis with seventeen published plastomes to examine the evolutionary pattern within this genus. The plastomes of these five newly sequenced Manglietia species range from 157,093 bp (M. calcarea2) to 160,493 bp (M. kwangtungensis), all exhibiting circular structures when mapped. Nucleotide diversity was observed across the plastomes, leading us to identify 13 mutational hotspot regions, comprising eight intergenic spacer regions and five gene regions. Our phylogenetic analyses based on 77 protein-coding genes generated phylogenetic relationships with high support and resolution for Manglietia. This genus can be divided into three clades, and the previously proposed infrageneric classifications are not supported by our studies. Furthermore, the close affinity between M. aromatica and M. calcarea is supported by the present work, and further studies are necessary to conclude the taxonomic treatment for the latter. These results provide resources for the comparative plastome, breeding, and plastid genetic engineering of Magnoliaceae and flowering plants.

Applying Convolutional Neural Networks to data on unstructured meshes with space-filling curves.

This paper presents the first classical Convolutional Neural Network (CNN) that can be applied directly to data from unstructured finite element meshes or control volume grids. CNNs have been hugely influential in the areas of image classification and image compression, both of which typically deal with data on structured grids. Unstructured meshes are frequently used to solve partial differential equations and are particularly suitable for problems that require the mesh to conform to complex geometries or for problems that require variable mesh resolution. Central to our approach are space-filling curves, which traverse the nodes or cells of a mesh tracing out a path that is as short as possible (in terms of numbers of edges) and that visits each node or cell exactly once. The space-filling curves (SFCs) are used to find an ordering of the nodes or cells that can transform multi-dimensional solutions on unstructured meshes into a one-dimensional (1D) representation, to which 1D convolutional layers can then be applied. Although developed in two dimensions, the approach is applicable to higher dimensional problems. To demonstrate the approach, the network we choose is a convolutional autoencoder (CAE), although other types of CNN could be used. The approach is tested by applying CAEs to data sets that have been reordered with a space-filling curve. Sparse layers are used at the input and output of the autoencoder, and the use of multiple SFCs is explored. We compare the accuracy of the SFC-based CAE with that of a classical CAE applied to two idealised problems on structured meshes, and then apply the approach to solutions of flow past a cylinder obtained using the finite-element method and an unstructured mesh.