Carbon emissions in China's steel industry from a life cycle perspective: Carbon footprint insights.

China is the most important steel producer in the world, and its steel industry is one of the most carbon-intensive industries in China. Consequently, research on carbon emissions from the steel industry is crucial for China to achieve carbon neutrality and meet its sustainable global development goals. We constructed a carbon dioxide (CO2) emission model for China's iron and steel industry from a life cycle perspective, conducted an empirical analysis based on data from 2019, and calculated the CO2 emissions of the industry throughout its life cycle. Key emission reduction factors were identified using sensitivity analysis. The results demonstrated that the CO2 emission intensity of the steel industry was 2.33 ton CO2/ton, and the production and manufacturing stages were the main sources of CO2 emissions, accounting for 89.84% of the total steel life-cycle emissions. Notably, fossil fuel combustion had the highest sensitivity to steel CO2 emissions, with a sensitivity coefficient of 0.68, reducing the amount of fossil fuel combustion by 20% and carbon emissions by 13.60%. The sensitivities of power structure optimization and scrap consumption were similar, while that of the transportation structure adjustment was the lowest, with a sensitivity coefficient of less than 0.1. Given the current strategic goals of peak carbon and carbon neutrality, it is in the best interest of the Chinese government to actively promote energy-saving and low-carbon technologies, increase the ratio of scrap steel to steelmaking, and build a new power system.

BioSAM: Generating SAM Prompts From Superpixel Graph for Biological Instance Segmentation.

Proposal-free instance segmentation methods have significantly advanced the field of biological image analysis. Recently, the Segment Anything Model (SAM) has shown an extraordinary ability to handle challenging instance boundaries. However, directly applying SAM to biological images that contain instances with complex morphologies and dense distributions fails to yield satisfactory results. In this work, we propose BioSAM, a new biological instance segmentation framework generating SAM prompts from a superpixel graph. Specifically, to avoid over-merging, we first generate sufficient superpixels as graph nodes and construct an initialized graph. We then generate initial prompts from each superpixel and aggregate them through a graph neural network (GNN) by predicting the relationship of superpixels to avoid over-segmentation. We employ the SAM encoder embeddings and the SAM-assisted superpixel similarity as new features for the graph to enhance its discrimination capability. With the graph-based prompt aggregation, we utilize the aggregated prompts in SAM to refine the segmentation and generate more accurate instance boundaries. Comprehensive experiments on four representative biological datasets demonstrate that our proposed method outperforms state-of-the-art methods.

New Engineered-Chimeric Botulinum Neurotoxin Mutant Acts as an Effective Bivalent Vaccine Against Botulinum Neurotoxin Serotype A and E.

Botulinum neurotoxins (BoNTs), including serotypes A and E, are potent biotoxins known to cause human poisoning. In addition to the critical protective antigen found in the full BoNT molecule, the receptor binding domain (Hc domain), BoNTs also harbour another essential protective antigen-the light chain-translocation domain (L-HN domain). Leveraging these pivotal protective antigens, we genetically engineered a series of inactivated chimeric molecules incorporating L-HN and Hc domains of BoNT/A and E. The structure of these chimeric molecules, mirror BoNT/A and E, but are devoid of enzyme activity. Experimental findings demonstrated that a lead candidate mEL-HN-mAHc harnessing the inactivated protease LCHN/E with the mutated gangliosides binding site Hc/A (mE-mA) elicited robust immune protection against BoNT/A and E simultaneously in a mouse model, requiring low immune dosages and minimal immunisations. Moreover, mE-mA exhibited high protective efficacy against BoNT/A and E in guinea pigs and New Zealand white rabbits, resulting in elevated neutralising antibody titres. Furthermore, mE-mA proved to be a more stable and safer vaccine compared to formaldehyde-inactivated toxoid. Our data underscore the genetically engineered mE-mA as a highly effective bivalent vaccine against BoNT/A and E, paving the way for the development of polyvalent vaccines against biotoxins.

A Phase II Clinical Study on Apatinib Plus Vinorelbine in Refractory HER2-Negative Breast Cancer and its Metabolic Implications of Drug Resistance.

BACKGROUND: Apatinib, a tyrosine-kinase inhibitor that targets the vascular endothelial growth factor receptor 2, contributes to the inhibition of angiogenesis. Vinorelbine, a semisyn-thetic vinca alkaloid, primarily inhibits metaphase mitosis of cancer cells through its interactions with tubulin. This study aimed to evaluate whether apatinib combined with vinorelbine was ef-fective and safe for refractory human epidermal growth factor receptor 2 (HER2)-negative breast cancer patients who failed taxanes and/or anthracycline and analyze the possible mechanism of drug resistance through metabolomic analysis. METHODS: Eligible patients were HER2-negative, inoperable, locally advanced, or metastatic breast cancer patients who progressed after at least one chemotherapy regimen in this present prospective phase II study. Patients took oral apatinib (250-500 mg/day) plus intravenous infusion of vinorelbine (25 mg/m2 on day 1, day 8 at 3-week intervals). Objective response rate (ORR) was our primary endpoint, while disease control rate (DCR), overall survival (OS), progression-free survival (PFS), and toxicity were our secondary endpoints. The exploratory purpose was to identify biomarkers or drug resistance mechanisms through metabolomics changes before and after the combination therapy. RESULTS: Between September, 2019 and June, 2022, a total of 34 patients were included. ORR and DCR were 32.4% (11/34) and 85.3% (29/34), respectively. The median PFS was 5.0 months (95% CI, 3.766-6.234), while the median OS was 13.0 months (95% CI, 8.714-17.286). Side effects included hematologic toxicity, gastrointestinal reaction, and sinus tachycardia, which were mild to moderate. The mainly disturbed metabolic pathways were the cAMP signaling pathway, the alanine/aspartate/glutamate metabolism, the central carbon metabolism in cancer, the beta-alanine metabolism, the butanoate metabolism, and the glyoxylate and dicarboxylate metabolism, which may lead to the resistance of patients to this combination therapy. CONCLUSION: Apatinib combined with vinorelbine is effective and safe in patients with locally advanced or metastatic refractory HER2-negative breast cancer. The findings of this study con-tribute to a better understanding of the metabolic effect of apatinib and vinorelbine therapy.

Developing flame retardant, smoke suppression and self-healing polyvinyl alcohol composites by dynamic reversible cross-linked chitosan-based macromolecule.

With the increasing threat of white pollution to the public health and ecosystem, functional materials driven by green and sustainable biological macromolecule are attracting considerable attention. Inspired by the double-helix structure of DNA, a P-B-N ternary synergistic chitosan-based macromolecule (PBCS) was constructed to prepare flame retardant, smoke suppression and self-healing polyvinyl alcohol composite (PVA@PBCS) via dynamic reversible interactions. The limiting oxygen index value of PVA@PBCS increased from 19.6 % to 28.7 %, whereas the peak heat release rate and total heat release decreased by 47.04 % and 43.37 %, respectively. Besides, the peak smoke production rate and total smoke production of PVA@PBCS also decreased by 45.31 % and 54.98 %. With the presence of borate ester-based covalent and multiple hydrogen bonds, the tensile strength and elongation at break of PVA@PBCS increased by 19.50 % and 16.85 % compared to the control sample, and the healing efficiency for tensile strength and elongation at break was as high as 93.86 % and 90.57 %, respectively. This work developed an eco-friendly and effective scenario for fabricating flame retardant and smoke suppression PVA materials, stimulating the substantial potential of chitosan-based biomacromolecule and dynamic reversible cross-linked tactics in self-healing field.

Liquid phase transformation mechanism of ß-caryophyllonic acid initiated by hydroxyl radicals and ozone in atmosphere.

ß-caryophyllonic acid (BCA), as an important precursor of aqueous secondary organic aerosols (aqSOA), has adverse effects on the atmospheric environment and human health. However, the key atmospheric chemical reaction process in which BCA participates in the formation of aqueous secondary organic aerosols is still unclear. In this study, the reaction mechanism and kinetics of BCA with ·OH and O3 were investigated by quantum chemical calculations. The initiation reactions between BCA and ·OH include addition and H-abstraction reaction pathways, subsequent intermediates will also react with O2, ultimately undergo a cracking reaction to generate small molecular substances. The reaction of BCA with O3 can generate primary ozone oxides and the Criegee Intermediates oIM3, subsequent main reaction products include keto-BCA, as well as other small molecule aqSOA precursors. The entire reaction process increases the O/C ratio of aqSOA in the aqueous phase and generates products of small molecules such as 4-formylpropionic acid, which plays an important role in the formation of aqSOA. At 298K, the transformation rate constants of BCA initiated by ·OH and O3 are 1.47 × 1010 M-1 s-1 and 3.16 × 105 M-1 s-1, respectively, the atmospheric lifetimes of BCA reacting with ·OH range from 0.86 h-5.40 h, while the lifetimes of BCA reacting with O3 range from 0.44 h-10.04 years. This suggests that BCA primarily reacts with ·OH. However, under higher O3 concentrations, its ozonolysis becomes significant, promoting the formation of aqSOA. According to the risk assessment, the toxicity of most transformation products (TPs) gradually decreased, but the residual developmental toxicity could not be ignored. In this paper, the atmospheric liquid phase oxidation mechanisms of sesquiterpene unsaturated derived acid were studied from the microscopic level, which has guiding significance for the formation and transformation of aqSOA in atmosphere.

Functional Identification of miR2119 Targeting ADHs in Modulating Soybean Resistance to Heterodera glycines.

Soybean cyst nematode (SCN, Heterodera glycines) is a sedentary endoparasite nematode that results in severe economic losses in soybean crops. miRNAs play crucial roles in plant responses to nematode. However, the role of miR2119 responding to SCN stress in soybean. Here, we demonstrated that the transcript levels of polycistronic precursors containing miR2119 and miR398a were significantly reduced in soybean upon nematode infection. Promoter of the miR2119-398a precursor analysis was conducted containing a GUS reporter gene. GUS activity assays demonstrated a decrease in miR2119-398a promoter during SCN infection. Overexpression of polycistronic precursor miR2119-398a (OE-premiR2119-398a) and miR2119 precursor (OE-premiR2119) rendered soybean more susceptible to SCN. Conversely, silencing miR2119 (STTM2119) increased soybean resistance against SCN. Furthermore, RNA-seq analysis revealed that miR2119 is involved in many defense signaling pathways. GUS reporter gene assays demonstrated that miR2119 targets GmADH1.1a and GmADH1.1b. Functional analysis indicated that ADHs act as a major role in responding to H. glycines by modulating reactive oxygen species (ROS) levels. Together, the findings reveal a novel mechanism by which the polycistronic precursor miR2119-398a coordinately regulates in response to H. glycines. Additionally, miR2119 becomes an essential element contributing to H. glycines by modulating ADH activity and ROS homeostasis in soybean.

An in-depth study of anthocyanin synthesis in the exocarp of virescens and nigrescens oil palm: metabolomic and transcriptomic analysis.

BACKGROUND: Oil palm (Elaeis guineensis Jacq.) is a very important tropical woody oil plant with high commercial and ornamental value. The exocarp of the oil palm fruit is rich in anthocyanosides and proanthocyanidins, which not only give it a bright colour, but also mark the maturity of the fruit. The study of the dynamic change pattern of anthocyanoside content and important anthocyanoside metabolism-related regulatory genes during oil palm ripening is conducive to the improvement of the ornamental value of oil palm and the determination of the optimal harvesting period of the fruits. METHODS: We analyzed the virescens oil palm (AS) and nigrescens oil palm (AT) at 95 days (AS1, AT1), 125 days (AS2, AT2) and 185 days (AS3, AT3) after pollination were used as experimental materials for determining the changes in the total amount of anthocyanins as well as their metabolomics and transcriptomics studies by using the LC-MS/MS technique and RNA-Seq technique. RESULT: The results showed that the total anthocyanin content decreased significantly from AS1 (119 µg/g) to AS3 (23 µg/g), and from AT1 (1302 µg/g) to AT3 (170 µg/g), indicating a clear decreasing trend during fruit development. Among them, the higher flavonoids in AS and AT included anthocyanins such as peonidin-3-O-rutinoside (H35), pelargonidin-3-O-rutinoside (H21), and cyanidin-3-O-glucoside (H7), as well as condensed tannins such as procyanidin B2 (H47), procyanidin C1 (H49), and procyanidin B3 (H48). Notably, nine genes involved in the anthocyanin biosynthetic pathway exhibited up-regulated expression during the pre-development stage of oil palm fruits, particularly during the AS1 and AT1 periods. These genes include: Chalcone synthase (CHS; LOC105036364); Flavanone 3-hydroxylase (F3H; LOC105054663); Dihydroflavonol 4-reductase (DFR; LOC105040724, LOC105048473); Anthocyanidin synthase (ANS; LOC105035842), UDP-glucose: flavonoid 3-O-glucosyltransferase (UFGT; LOC105039612); Flavonoid 3',5'-hydroxylase (F3'5'H; LOC105036086, LOC105044124, LOC105045493). In contrast, five genes demonstrated up-regulated expression as the fruits developed, specifically during the AS3 and AT3 periods. These genes include: Chalcone synthase (CHS; LOC105036921, LOC105035716); Chalcone isomerase (CHI; LOC105045978); UDP-glucose: flavonoid 3-O-glucosyltransferase (UFGT; LOC105046326); Flavonoid 3'-hydroxylase (F3'H; LOC105036086). CONCLUSION: Most of differentially expressed genes exhibited up-regulation during the early stages of fruit development, which may contribute to the elevated anthocyanin content observed in oil palm fruits of both types during the pre-developmental period. Furthermore, the expression levels of most genes were found to be higher in the AT fruit type compared to the AS fruit type, suggesting that the differential expression of these genes may be a key factor underlying the differences in anthocyanoside production in the exocarp of oil palm fruits from these two fruit types. The findings of this study provide a theoretical foundation for the identification and characterization of genes involved in anthocyanin synthesis in oil palm fruits, as well as the development of novel variations using molecular biology approaches.

Phase angle is a predictor for postoperative complications in colorectal cancer.

Aim: The aim of this study was to develop a validated nomogram to predict the risk of postoperative complications in colorectal cancer (CRC) patients by analyzing the factors that contribute to these complications. Methods: We retrospectively collected clinical information on patients who underwent CRC surgery at a single clinical center from January 2021 to December 2021. Univariate and multivariate logistic regression analysis to identify independent risk factors for postoperative complications and to develop a predictive model. A receiver operating characteristic (ROC) curve was used to calculate the area under the curve (AUC) to assess the predicted probability. Calibration curve was drawn to compare the predicted probability of the nomogram with the actual probability, and decision curve analysis (DCA) was employed to evaluate the clinical utility of the nomogram. Results: A total of 190 CRC patients were included in this study. We retrospectively collected baseline information, clinical information, surgical information, and nutrition-related indicators for all patients. Through multivariate logistic regression analysis, preoperative albumin (p = 0.041, OR = 0.906, 95% CI = 0.824-0.996), surgical time (p = 0.009, OR = 1.006, 95% CI = 1.001-1.010), waistline (p = 0.049, OR = 1.011, 95% CI = 1.002-1.020) and phase angle (PA) (p = 0.022, OR = 0.615, 95% CI = 0.405-0.933) were identified as independent risk factors for postoperative complications in CRC, and a nomogram prediction model was established using the above four variables. The AUC of 0.706 for the ROC plot and the high agreement between predicted and actual probabilities in the calibration curves suggested that the prediction model has good predictive power. The DCA also confirmed the good clinical performance of the nomogram. Conclusion: This study developed a nomogram to predict the risk of postoperative complications in CRC patients, providing surgeons with a reliable reference to personalized patient management in the perioperative period and preoperative nutritional interventions.

Characterization and validation of a prognostic model for the N6-methyladenosine-associated ferroptosis gene in colon adenocarcinoma.

Background: According to statistics, colon adenocarcinoma (COAD) ranks third in global incidence and second in mortality. The role of N6-methyladenosine (m6A) modification-dependent ferroptosis in tumor development and progression is gaining attention. Therefore, it is meaningful to explore the biological functions mediated by m6A ferroptosis related genes (m6A-Ferr-RGs) in the prognosis and treatment of COAD. This study aimed to explore the regulatory mechanisms and prognostic features of m6A-Ferr-RGs in COAD based on the COAD transcriptome dataset. Methods: The expression data of Ferr-RGs and the correlated analysis with prognosis related m6A regulators were conducted to obtain candidate m6A-Ferr-RGs. Then, the differentially expressed genes (DEGs) between COAD and normal samples were intersected with candidate m6A-Ferr-RGs to obtain differentially expressed m6A Ferr-RGs (DE-m6A-Ferr-RGs) in COAD. Cox regression analyses were performed to establish risk model and validated in the GSE17538 and GSE41258 datasets. The nomogram was constructed and verified by calibration curves. Moreover, tumor immune dysfunction and exclusion (TIDE) was used to assess immunotherapy response in two risk groups. Finally, the expression of m6A-Ferr-related prognostic genes was validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Results: In total, 6 model genes (HSD17B11, VEGFA, CXCL2, ASNS, FABP4, and GPX2) were obtained to construct the risk model. The nomogram was established based on the independent prognostic factors for predicting survival of COAD. TIDE assessed that the high-risk group suffered from greater immune resistance. Ultimately, the experimental results confirmed that the expression trends of all model genes were consistent among data from public database. Conclusions: In this study, m6A-Ferr-related prognostic model for COAD was constructed using transcriptome data and clinical data of COAD in public database, which may have potential immunotherapy and chemotherapy guidance implications.

Ammonia-induced lysosomal and mitochondrial damage causes cell death of effector CD8+ T cells.

Ammonia is thought to be a cytotoxin and its increase in the blood impairs cell function. However, whether and how this toxin triggers cell death under pathophysiological conditions remains unclear. Here we show that ammonia induces a distinct form of cell death in effector T cells. We found that rapidly proliferating T cells use glutaminolysis to release ammonia in the mitochondria, which is then translocated to and stored in the lysosomes. Excessive ammonia accumulation increases lysosomal pH and results in the termination of lysosomal ammonia storage and ammonia reflux into mitochondria, leading to mitochondrial damage and cell death, which is characterized by lysosomal alkalization, mitochondrial swelling and impaired autophagic flux. Inhibition of glutaminolysis or blocking lysosomal alkalization prevents ammonia-induced T cell death and improves T cell-based antitumour immunotherapy. These findings identify a distinct form of cell death that differs from previously known mechanisms.

Protein kinase R is highly expressed in dermatomyositis and promotes interferon-beta-induced muscle damage.

OBJECTIVES: Dermatomyositis (DM) has been consistently linked to the type I interferon (IFN-I) pathway. However, the precise pathogenesis remains incompletely elucidated. We aimed to explore potential molecular mechanisms and identify promising therapeutic targets in DM. METHODS: We employed bioinformatics analysis to investigate molecular signatures, aiming to shed light on the pathogenesis of DM. The expression of protein kinase R (PKR) in DM muscle tissues was determined by real-time quantitative PCR, western blot and immunohistochemistry (IHC) analysis. We then assessed the sensitivity and specificity of sarcoplasmic PKR expression by IHC in a consecutive DM cohort and other diseases in this retrospective study. Furthermore, IFN-ß was used to stimulate myoblasts and myotubes, and the relationship between PKR and IFN-ß-induced pathogenic molecules was investigated in vitro. RESULTS: Bioinformatics analysis indicated two primary pathological processes: viral infection and the IFN-I signalling pathway. We subsequently verified that PKR was notably expressed in the cytoplasm of myofibers in DM patients. The sensitivity and specificity of sarcoplasmic PKR expression in DM were 84.6% and 97.6%, respectively. In vitro studies revealed that IFN-ß upregulates the expression of PKR, along with several molecules associated with DM muscle damage. Conversely, inhibiting PKR has been shown to downregulate IFN-ß-induced pathogenic molecules in both myoblasts and myotubes. CONCLUSIONS: We observed that PKR exhibits specific expression in the cytoplasm of DM muscle and inhibiting PKR ameliorates IFN-ß-induced muscle damage in vitro. These findings provide insights into the diagnostic and therapeutic roles of PKR in DM.

Identification and analgesic activity study of analgesic protein â ¦-2 from Naja naja atra venom.

Background: Acid-sensing ion channel 1a (ASIC1a) plays a critical role in physiological and pathological processes. To further elucidate the biological functions of ASICs and their relationships with disease occurrence and development, it is advantageous to investigate and develop additional regulatory factors for ASICs. Methods: In this study, cation exchange chromatography was used to separate seven chromatographic components from Naja naja atra venom. Capillary electrophoresis was employed to detect that Ⅶ peak component containing a main protein Ⅶ-2, which could bind to ASIC1a. The analgesic effects of Ⅶ-2 protein were determined using hot plate methods, and ASIC1a expression in spinal cord tissue from rats with inflammatory pain was detected using western blot. Results: The purified Ⅶ-2 protein named Naja naja atra venom-Ⅶ-2 (NNAV-Ⅶ-2) was obtained by Sephadex G-50 gel filtration, which exhibited a single band on sodium dodecyl sulfate-polyacrylamide gel electrophoresis with a molecular weight of 6.7 kD. Remarkably, the NNAV-Ⅶ-2 protein demonstrated a significant analgesic effect and downregulated ASIC1a expression in the spinal cord tissue of rats with inflammatory pain. Conclusions: The analgesic mechanism of the NNAV-Ⅶ-2 protein may be associated with its binding to ASIC1a, consequently downregulating ASIC1a expression in neural tissues.

Intratumoral microbiota of pancreatic ductal adenocarcinoma impact patient prognosis by influencing tumor microenvironment.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is characterized by a highly metastatic potential and a heterogeneous tumor microenvironment. It exhibits limited sensitivity to conventional therapies, necessitating a deeper understanding of its pathogenesis. The role of the intratumoral microbiome in regulating cancer development in PDAC has been the subject of debate. Previous investigations into intra-tumor microbiomes have yielded uncertain results due to sample size limitations and insufficient decontamination procedures. Further research is imperative to elucidate the intricate relationship between intra-tumor microbiomes, the immune landscape of PDAC, and overall prognosis. RESULTS: Our findings revealed that the intratumor microbiota in PDAC tissue exhibited lower diversity and distinct communities compared to non-tumor tissues. The top microorganisms distinguishing between patients with long or short survival were used to construct the risk signature. We found that Stenotrophomonas is implicated in short survival of PDAC patients, while Neorickettia and Mediterraneibacter are correlated with long survival. This microbiome-based PDAC subtyping, grounded in prognosis-related signatures, exhibited significant correlations with distinct clinical prognoses and immune microenvironments. Microorganisms associated with negative prognoses were linked to pro-tumor immune activation, while those associated with positive prognoses were linked to anti-tumor immune response activation and a more favorable prognosis. CONCLUSIONS: Our PDAC subtyping approach, based on a microbiome-derived prognostic risk signature, unveiled compelling associations between the PDAC microbiota and disparities in both clinical prognosis and the tumor microenvironment. These findings suggest that microbiota may serve as a promising biomarker for predicting the prognosis of PDAC.

SPRED3 regulates the NF-κB signaling pathway in thyroid cancer and promotes the proliferation.

SPRED3 (Sprouty-related EVH1 domain containing 3) mutants are depicted in various cancers, however, nothing is known about its biofunction in thyroid cancer (THCA). Bioinformatic analyses were conducted to ascertain the level of SPRED3 expression in THCA tissues and its importance in the prognosis of THCA patients. Flag-SPRED3 plasmid and SPRED3-knockout vector were developed to overexpress or deplete the SPRED3 expression in THCA cells. The function of SPRED3 on THCA cell proliferation was examined using the colony formation assay and CCK8 assay. The effect of SPRED3 expression on the transcriptional activity of NF-κB was also examined using luciferase reporter assays. High SPRED3 expression was associated with unfavorable clinical outcomes, advanced tumor characteristics, and traditional molecular markers of papillary thyroid cancer in THCA patients. Genetic analysis revealed differences in mutation rates in key genes between SPRED3-high and SPRED3-low THCA cases. It is also revealed that SPRED3 influenced the immune microenvironment, with increased stromal and immune scores and altered immune cell infiltration. Functionally, SPRED3 overexpression enhanced THCA cell viability and colony formation, while its depletion reduced cell growth and proliferation. In vivo experiments in mice confirmed the inhibitory effect of SPRED3 depletion on tumor growth. Mechanically, we found that SPRED3 activated the NF-κB signaling. For the first time, we found that SPRED3 promotes THCA cell proliferation via the NF-κB signaling pathway. This finding may provide insight into SPRED3's prognostic potential in thyroid cancer and provide the rationale for SPRED3-targeted druggable interventions.

Targeting Fatty Acid Metabolism Abrogates the Differentiation Blockade in Pre-leukemic Cells.

Metabolism plays a key role in the maintenance of normal hematopoietic stem cells (HSCs) and in the development of leukemia. A better understanding of the metabolic characteristics and dependencies of pre-leukemic cells could help identify potential therapeutic targets to prevent leukemic transformation. As AML1-ETO, one of the most frequent fusion proteins in acute myeloid leukemia that is encoded by a RUNX1::RUNX1T1 fusion gene, is capable of generating pre-leukemic clones, here we used a conditional Runx1::Runx1t1 knock-in mouse model to evaluate pre-leukemic cell metabolism. AML1-ETO expression resulted in impaired hematopoietic reconstitution and increased self-renewal ability. Oxidative phosphorylation and glycolysis decreased significantly in these pre-leukemic cells accompanied by increased HSC quiescence and reduced cell cycling. Furthermore, HSCs expressing AML1-ETO exhibited an increased requirement for fatty acids through metabolic flux. Dietary lipid deprivation or loss of the fatty acid transporter FATP3 by targeted deletion using CRISPR/Cas9 partially restored differentiation. These findings reveal the unique metabolic profile of pre-leukemic cells and propose FATP3 as a potential target for disrupting leukemogenesis.

Novel platform for engineering stable and effective vaccines against botulinum neurotoxins A, B and E.

Botulinum neurotoxin (BoNT), produced by Clostridium botulinum, is the most toxic protein known, capable of causing severe paralysis and posing a significant bioterrorism threat due to its extreme lethality even in minute quantities. Despite this, there are currently no FDA-approved vaccines for widespread public use. To address this urgent need, we have developed an innovative vaccine platform by fusing the neuronal binding domain of BoNT/E (Hc/E) with core-streptavidin (CS), resulting in a stable CS-Hc/E vaccine. Mice vaccinated with CS-Hc/E exhibited superior antibody titers compared to those receiving Hc/E alone. To develop a trivalent vaccine against BoNT/A, BoNT/B, and BoNT/E- key contributors to the vast majority of human botulism-we conjugated CS-Hc/E with a biotinylated atoxic chimeric protein incorporating neutralizing epitopes from BoNT/A and BoNT/B. This chimeric protein includes the binding domain of BoNT/A, along with the protease-inactive light chain and translocation domains of BoNT/B. The interaction between CS and biotin formed a stable tetrameric antigen, EBA. Vaccination with EBA in mice elicited robust antibody responses and provided complete protection against lethal doses of BoNT/A, BoNT/B, and BoNT/E. Our findings highlight EBA's potential as a stable and effective broad-spectrum vaccine against BoNT. Moreover, our technology offers a versatile platform for developing multivalent, stable vaccines targeting various biological threats by substituting the BoNT domain(s) with neutralizing epitopes from other life-threatening pathogens, thereby enhancing public health preparedness and biodefense strategies.

Unmasking and quantifying racial bias of large language models in medical report generation.

BACKGROUND: Large language models like GPT-3.5-turbo and GPT-4 hold promise for healthcare professionals, but they may inadvertently inherit biases during their training, potentially affecting their utility in medical applications. Despite few attempts in the past, the precise impact and extent of these biases remain uncertain. METHODS: We use LLMs to generate responses that predict hospitalization, cost and mortality based on real patient cases. We manually examine the generated responses to identify biases. RESULTS: We find that these models tend to project higher costs and longer hospitalizations for white populations and exhibit optimistic views in challenging medical scenarios with much higher survival rates. These biases, which mirror real-world healthcare disparities, are evident in the generation of patient backgrounds, the association of specific diseases with certain racial and ethnic groups, and disparities in treatment recommendations, etc. CONCLUSIONS: Our findings underscore the critical need for future research to address and mitigate biases in language models, especially in critical healthcare applications, to ensure fair and accurate outcomes for all patients.

Large language models (LLMs) such as GPT-3.5-turbo and GPT-4 are advanced computer programs that can understand and generate text. They have the potential to help doctors and other healthcare professionals to improve patient care. We looked at how well these models predicted the cost of healthcare for patients, and the chances of them being hospitalized or dying. We found that these models often projected higher costs and longer hospital stays for white people than people from other racial or ethnicity groups. These biases mirror the disparities in real-world healthcare. Our findings show the need for more research to ensure that inappropriate biases are removed from LLMs to ensure fair and accurate healthcare predictions of possible outcomes for all patients. This will help ensure that these tools can be used effectively to improve healthcare for everyone.

Geneticand phenotypic characterization of a novel ST45-K43 carbapenem-resistant Klebsiella pneumoniae strain causing bloodstream infection: a potential clinical threat.

Klebsiella pneumoniae is a common pathogen of nosocomial infection, which can cause pneumonia, urinary tract infection, cystitis, and bloodstream infections (BSIs). Here, we genetically characterize a novel carbapenem-resistant K. pneumoniae (CRKP) strain recovered from the blood of a 44-year-old male patient with severe acute necrotizing pancreatitis and septic shock in China. The strain is a ST45 K. pneumoniae with a novel serotype of K43, named 18SHX166. The susceptibility testing results showed that 18SHX166 was resistant to cephalosporin and carbapenems but still susceptible to ceftazidime-avibactam, quinolones, colistin, and amikacin. Genomic sequencing revealed that 18SHX166 contains three plasmids, namely pSHX166-Hv, pSHX166-KPC, and pSHX166-3. pSHX166-Hv harbored the iucABCD operon, encoding the siderophore of aerobactin. pSHX166-KPC harbored blaKPC-2 gene and possessed complete conjugative regions. The conjugation experiment verified pSHX166-KPC as a self-transmissible plasmid mediating the dissemination of antibiotic resistance, with a conjugation rate of 2.21 × 10-5. Additionally, the growth curve showed that 18SHX166 demonstrates a higher growth rate than the control strains. The characteristics of 18SHX166 indicate a potential high risk of clinical transmission.IMPORTANCEST45-K43 carbapenem-resistant Klebsiella pneumoniae isolate, 18SHX166, carries a carbapenem resistance plasmid and virulence plasmid. It has the characteristics of multidrug resistance, high transmissibility, and a fast growth rate, which could pose a threat to the control of antimicrobial resistance and clinical transmission, causing a severe challenge to public health.

Liver and Kidney Tumor Masses as the Initial Presentation of B-Cell Acute Lymphoblastic Leukemia.

ABSTRACT: We described a 13-year-old girl who presented unexplained paroxysmal sharp pain in the right upper abdomen for 3 days. CT and MRI showed multiple masses in the liver and kidneys, initially diagnosed as lymphoma. The hepatic mass biopsy confirmed B-cell lymphoblastic lymphoma. FDG PET/CT examination found that the liver and kidney masses demonstrated high metabolic activity, with concomitant increased metabolic activity in the skeleton. Bone marrow biopsy revealed extensive skeletal involvement. The final diagnosis was B-cell acute lymphoblastic leukemia. This case highlights the effectiveness of FDG PET/CT as an adjunct imaging modality for diagnosis.