A laponite-based immunologically active gel delivery system for long-acting tumor vaccine.

Traditional bolus vaccines typically require multiple doses, which complicates the vaccination process and may cause missed shots, leading to sub-optimal immunity and reduced vaccine effectiveness. Herein, a gel-based long-acting vaccine system with self-adjuvant properties based on laponite was constructed to simplify vaccination procedures and improve vaccine effectiveness. Firstly, the gel system could recruit multiple types of immune cells to form immune niches. Secondly, it could achieve sustained delivery of antigens to lymph nodes by active transport and passive drainage. Then, the gel system triggered the formation of a large number of germinal centers, which elicited enhanced and durable humoral immune responses, as well as strong cellular immune responses. As a result, it eventually showed good prophylactic and therapeutic effects in a variety of tumor models including melanoma, colorectal cancer and peritoneal metastasis models. By further combining the immunoadjuvant CpG ODN and cytokine IL-12, the effect of the gel-vaccine could be further enhanced. In a murine peritoneal metastasis model of colorectal carcinoma, a single administration of the gel-vaccine resulted in complete tumor eradication in 8/9 mice. In summary, this study developed an immunologically active gel-vaccine system. And as a robust and versatile vaccine platform, by loading different antigens and adjuvants, this gel-vaccine system is expected to realize its better therapeutic potential.

Establishment of a humanized mouse model using steady-state peripheral blood-derived hematopoietic stem and progenitor cells facilitates screening of cancer-targeted T-cell repertoires.

Background: Cancer-targeted T-cell receptor T (TCR-T) cells hold promise in treating cancers such as hematological malignancies and breast cancers. However, approaches to obtain cancer-reactive TCR-T cells have been unsuccessful. Methods: Here, we developed a novel strategy to screen for cancer-targeted TCR-T cells using a special humanized mouse model with person-specific immune fingerprints. Rare steady-state circulating hematopoietic stem and progenitor cells were expanded via three-dimensional culture of steady-state peripheral blood mononuclear cells, and then the expanded cells were applied to establish humanized mice. The human immune system was evaluated according to the kinetics of dendritic cells, monocytes, T-cell subsets, and cytokines. To fully stimulate the immune response and to obtain B-cell precursor NAML-6- and triple-negative breast cancer MDA-MB-231-targeted TCR-T cells, we used the inactivated cells above to treat humanized mice twice a day every 7 days. Then, human T cells were processed for TCR ß-chain (TRB) sequencing analysis. After the repertoires had been constructed, features such as the fraction, diversity, and immune signature were investigated. Results: The results demonstrated an increase in diversity and clonality of T cells after treatment. The preferential usage and features of TRBV, TRBJ, and the V-J combination were also changed. The stress also induced highly clonal expansion. Tumor burden and survival analysis demonstrated that stress induction could significantly inhibit the growth of subsequently transfused live tumor cells and prolong the survival of the humanized mice. Conclusions: We constructed a personalized humanized mouse model to screen cancer-targeted TCR-T pools. Our platform provides an effective source of cancer-targeted TCR-T cells and allows for the design of patient-specific engineered T cells. It therefore has the potential to greatly benefit cancer treatment.

Tracking 5-Year Trends in the Workforce Prescribing Psychotropics and Medications for Opioid Use Disorder: A Cross-Sectional Study.

BACKGROUND: Although there is increased demand for behavioral health services, there is limited national data on the workforce prescribing psychotropics and/or medications for opioid use disorder (MOUD), and many current estimates are based on self-reported data or clinician rosters. OBJECTIVE: To describe trends in the workforce prescribing psychotropics (i.e., antidepressants, antipsychotics, antianxiety medications, mood stabilizers) and/or MOUD from 2017 to 2021. DESIGN: Cross-sectional analysis of 2017-2021 IQVIA Xponent retail prescription claims data. PARTICIPANTS: Clinicians who prescribed more than ten total prescriptions for psychotropics and/or MOUD in a calendar year. MAIN MEASURES: We analyzed the number of prescriptions and prescribers by year, month, drug type, specialty type, payor type, and clinician county rurality. KEY RESULTS: There was a 2.7% increase in the number of prescribers between 2017 and 2021, with the highest growth among psychiatric nurse practitioners (44.7%), nurse practitioners (25.5%), and physician assistants (6.5%). Primary care physicians (PCPs) and advanced practice clinicians (APCs) made up more than half of the workforce but prescribed 3.5 times fewer prescriptions on average compared to psychiatric and addiction medicine specialists. PCPs and APCs in rural areas wrote the most prescriptions collectively for psychotropics and MOUD per month. CONCLUSIONS: Using prescription data, a proxy for being active in the workforce, goes beyond specialty designation to identify the full workforce prescribing psychotropics and MOUD, including the growing role of APCs and PCPs.

Organolanthanide Single-Molecule Magnets with Heterocyclic Ligands.

Lanthanide (Ln) based mononuclear single-molecule magnets (SMMs) provide probably the finest ligand regulation model for magnetic property. Recently, the development of such SMMs has witnessed a fast transition from coordination to organometallic complexes because the latter provides a fertile, yet not fully excavated soil for the development of SMMs. Especially those SMMs with heterocyclic ligands have shown the potential to reach higher blocking temperature. In this minireview, we give an overview of the design principle of SMMs and highlight those "shining stars" of heterocyclic organolanthanide SMMs based on the ring sizes of ligands, analysing how the electronic structures of those ligands and the stiffness of subsequently formed molecules affect the dynamic magnetism of SMMs. Finally, we envisaged the future development of heterocyclic Ln-SMMs.

Development of novel humanized CD19/BAFFR bicistronic chimeric antigen receptor T cells with potent antitumor activity against B-cell lineage neoplasms.

Chimeric antigen receptor T cell (CAR-T) therapy has shown remarkable efficacy in treating advanced B-cell malignancies by targeting CD19, but antigen-negative relapses and immune responses triggered by murine-derived antibodies remain significant challenges, necessitating the development of novel humanized multitarget CAR-T therapies. Here, we engineered a second-generation 4-1BB-CD3ζ-based CAR construct incorporating humanized CD19 single-chain variable fragments (scFvs) and BAFFR single-variable domains on heavy chains (VHHs), also known as nanobodies. The resultant CAR-T cells, with different constructs, were functionally compared both in vitro and in vivo. We found that the optimal tandem and bicistronic (BI) structures retained respective antigen-binding abilities, and both demonstrated specific activation when stimulated with target cells. At the same time, BI CAR-T cells (BI CARs) exhibited stronger tumour-killing ability and better secretion of interleukin-2 and tumour necrosis factor-alpha than single-target CAR-T cells. Additionally, BI CARs showed less exhaustion phenotype upon repeated antigen stimulation and demonstrated more potent and persistent antitumor effects in mouse xenograft models. Overall, we developed a novel humanized CD19/BAFFR bicistronic CAR (BI CAR) based on a combination of scFv and VHH, which showed potent and sustained antitumor ability both in vitro and in vivo, including against tumours with CD19 or BAFFR deficiencies.

Multi-strategy cooperative scheduling for airport specialized vehicles based on digital twins.

Efficient specialized vehicle cooperative scheduling is significant for airport operations, particularly during times of high traffic, which reduces the risk of flight delays and increases customer satisfaction. In this paper,we construct a multi-type vehicles collaborative scheduling model with the objectives of minimizing vehicle travel distance and vehicle waiting time. Additionally, a three-layer genetic algorithm is designed, and the crossover and mutation operations are enhanced to address the scheduling model. Due to the numerous uncertainties and stochastic interferences in airport operations, conventional scheduling methods unable to effectively address these challenges, this paper combines improved genetic algorithm, simulation algorithm, and digital twins technology, proposing a multi-strategy scheduling framework for specialized vehicles based on digital twins. The scheduling framework utilises digital twins to capture dynamic data from the airport and continuously adjusts the scheduling plan through the scheduling strategy to ensure robust scheduling for specialized vehicles. In the event of severe delays at the airport, fast and efficient re-scheduling can be achieved. Finally, the effectiveness of the proposed scheduling framework is validated using domestic flight data, and extensive experiments and analyses are conducted in different scenarios. This research contributes to addressing the optimization problem of cooperative scheduling for multi-type vehicles at airports.

A novel lncRNA LOC101928222 promotes colorectal cancer angiogenesis by stabilizing HMGCS2 mRNA and increasing cholesterol synthesis.

BACKGROUND: Metastasis is the leading cause of mortality in patients with colorectal cancer (CRC) and angiogenesis is a crucial factor in tumor invasion and metastasis. Long noncoding RNAs (lncRNAs) play regulatory functions in various biological processes in tumor cells, however, the roles of lncRNAs in CRC-associated angiogenesis remain to be elucidated in CRC, as do the underlying mechanisms. METHODS: We used bioinformatics to screen differentially expressed lncRNAs from TCGA database. LOC101928222 expression was assessed by qRT-PCR. The impact of LOC101928222 in CRC tumor development was assessed both in vitro and in vivo. The regulatory mechanisms of LOC101928222 in CRC were investigated by cellular fractionation, RNA-sequencing, mass spectrometric, RNA pull-down, RNA immunoprecipitation, RNA stability, and gene-specific m6A assays. RESULTS: LOC101928222 expression was upregulated in CRC and was correlated with a worse outcome. Moreover, LOC101928222 was shown to promote migration, invasion, and angiogenesis in CRC. Mechanistically, LOC101928222 synergized with IGF2BP1 to stabilize HMGCS2 mRNA through an m6A-dependent pathway, leading to increased cholesterol synthesis and, ultimately, the promotion of CRC development. CONCLUSIONS: In summary, these findings demonstrate a novel, LOC101928222-based mechanism involved in the regulation of cholesterol synthesis and the metastatic potential of CRC. The LOC101928222-HMGCS2-cholesterol synthesis pathway may be an effective target for diagnosing and managing CRC metastasis.

Health care provider movement increased through COVID-19.

COVID-19 placed unprecedented strain on the health workforce, raising concerns of increasing worker turnover and attrition. This study explores the use of 2 publicly available Medicare datasets-Provider Enrollment, Chain, and Ownership System (PECOS) and Doctors and Clinicians-to track provider movement across states and organizations from 2017 to 2023. We found an increase in state-to-state movement of providers post-COVID-19, with an initial spike in physician movement in the first year (April 2020 to March 2021). Movement varied across specialties and professions. Between organizations, we saw an initial increase in movement for family physicians but not internal medicine physicians. Overall, provider movement was generally to larger organizations. Our study finds increasing movement of providers in the post-COVID-19 period through the novel use of 2 publicly available Medicare datasets. Tracking health care workforce movement closer to real time is important to understand a changing workforce-with differences across communities-and to guide policies to ensure sufficient workforce and prevent worsening disparities over time.

Aflatoxin B1 induces ROS-dependent mitophagy by modulating the PINK1/Parkin pathway in HepG2 cells.

Aflatoxin B1 (AFB1) is extremely harmful to both humans and animals. Mitophagy is a selective process of self-elimination and has an important role in controlling mitochondrial quality. The present study aimed to investigate the effect of reactive oxygen species (ROS) accumulation on AFB1-induced mitophagy in HepG2 cells to provide a new perspective from which to design novel therapeutic strategies to treat AFB1 poisoning. ROS release was induced in HepG2 cells with AFB1 (10 µmol/L). Cell autophagy activity, mitochondrial membrane potential (MMP), adenosine triphosphate (ATP) levels, Parkin translocation and both the transcription and expression of mitophagy-related proteins were measured when N-acetyl-L-cysteine (NAC) partially decreased the ROS level, while the knockdown of nuclear factor erythroid 2-related factor 2 (Nrf2) resulted in a large accumulation of ROS. The results reveal that NAC pretreatment ameliorated the decline in both the MMP and the ATP levels while also activating phosphoglycerate mutase 5 (PGAM5)-PTEN-induced kinase 1 (PINK1)/Parkin, while the Nrf2 knockdown group exhibited the opposite trend. These results suggest that AFB1-induced mitophagy in HepG2 cells depends on ROS, and proper ROS activates mitophagy to play a protective role.

A more complete measure of vertical integration between physicians and hospitals.

OBJECTIVE: To develop an accurate and reproducible measure of vertical integration between physicians and hospitals (defined as hospital or health system employment of physicians), which can be used to assess the impact of integration on healthcare quality and spending. DATA SOURCES AND STUDY SETTING: We use multiple data sources including from the Internal Revenue Service, the Centers for Medicare and Medicaid Services, and others to determine the Tax Identification Numbers (TINs) that hospitals and physicians use to bill Medicare for services, and link physician billing TINs to hospital-related TINs. STUDY DESIGN: We developed a new measure of vertical integration, based on the TINs that hospitals and physicians use to bill Medicare, using a broad set of sources for hospital-related TINs. We considered physicians as hospital-employed if they bill Medicare primarily or exclusively using hospital-related TINs. We assessed integration status for all physicians who billed Medicare from 1999 to 2019. We compared this measure with others used in the existing literature. We conducted a simulation study which highlights the importance of accurately identifying integrated physicians when study the effects of integration. DATA COLLECTION/EXTRACTION METHODS: We extracted physician and hospital-related TINs from multiple sources, emphasizing specificity (a small proportion of nonintegrated physicians identified as integrated). PRINCIPAL FINDINGS: We identified 12,269 hospital-related TINs, used for billing by 546,775 physicians. We estimate that the percentage of integrated physicians rose from 19% in 1999 to 43% in 2019. Our approach identifies many additional physician practices as integrated; a simpler TIN measure, comparable with prior work, identifies only 30% (3877) of the TINs we identify. A service location measure, used in prior work, has both many false positives and false negatives. CONCLUSION: We developed a new measure of hospital-physician integration. This measure is reproducible and identifies many additional physician practices as integrated.

Programmed cell death factor 4-mediated hippocampal synaptic plasticity is involved in early life stress and susceptibility to depression.

Early life stress (ELS) increases the risk of depression later in life. Programmed cell death factor 4 (PDCD4), an apoptosis-related molecule, extensively participates in tumorigenesis and inflammatory diseases. However, its involvement in a person's susceptibility to ELS-related depression is unknown. To examine the effects and underlying mechanisms of PDCD4 on ELS vulnerability, we used a "two-hit" stress mouse model: an intraperitoneal injection of lipopolysaccharide (LPS) into neonatal mice was performed on postnatal days 7-9 (P7-P9) and inescapable foot shock (IFS) administration in adolescent was used as a later-life challenge. Our study shows that compared with mice that were only exposed to the LPS or IFS, the "two-hit" stress mice developed more severe depression/anxiety-like behaviors and social disability. We detected the levels of PDCD4 in the hippocampus of adolescent mice and found that they were significantly increased in "two-hit" stress mice. The results of immunohistochemical staining and Sholl analysis showed that the number of microglia in the hippocampus of "two-hit" stress mice significantly increased, with morphological changes, shortened branches, and decreased numbers. However, knocking down PDCD4 can prevent the number and morphological changes of microglia induced by ELS. In addition, we confirmed through the Golgi staining and immunohistochemical staining results that knocking down PDCD4 can ameliorate ELS-induced synaptic plasticity damage. Mechanically, the knockdown of PDCD4 exerts neuroprotective effects, possibly via the mediation of BDNF/AKT/CREB signaling. Combined, these results suggest that PDCD4 may play an important role in the ELS-induced susceptibility to depression and, thus, may become a therapeutic target for depressive disorders.

Synchrony or asynchrony: development of facial expression recognition from childhood to adolescence based on large-scale evidence.

The development of facial expression recognition ability in children is crucial for their emotional cognition and social interactions. In this study, 510 children aged between 6 and 15 participated in a two forced-choice task of facial expression recognition. The findings supported that recognition of the six basic facial expressions reached a relatively stable mature level around 8-9 years old. Additionally, model fitting results indicated that children showed the most significant improvement in recognizing expressions of disgust, closely followed by fear. Conversely, recognition of expressions of happiness and sadness showed slower improvement across different age groups. Regarding gender differences, girls exhibited a more pronounced advantage. Further model fitting revealed that boys showed more pronounced improvements in recognizing expressions of disgust, fear, and anger, while girls showed more pronounced improvements in recognizing expressions of surprise, sadness, and happiness. These clear findings suggested the synchronous developmental trajectory of facial expression recognition from childhood to adolescence, likely influenced by socialization processes and interactions related to brain maturation.

Contraception Usage and Workforce Trends Through 2022.

This cross-sectional study uses a national data set of medical prescription claims to examine contraception service and workforce changes from January 2019 through December 2022 in the US.

High-altitude hypoxia exposure inhibits erythrophagocytosis by inducing macrophage ferroptosis in the spleen.

High-altitude polycythemia (HAPC) affects individuals living at high altitudes, characterized by increased red blood cells (RBCs) production in response to hypoxic conditions. The exact mechanisms behind HAPC are not fully understood. We utilized a mouse model exposed to hypobaric hypoxia (HH), replicating the environmental conditions experienced at 6000 m above sea level, coupled with in vitro analysis of primary splenic macrophages under 1% O2 to investigate these mechanisms. Our findings indicate that HH significantly boosts erythropoiesis, leading to erythrocytosis and splenic changes, including initial contraction to splenomegaly over 14 days. A notable decrease in red pulp macrophages (RPMs) in the spleen, essential for RBCs processing, was observed, correlating with increased iron release and signs of ferroptosis. Prolonged exposure to hypoxia further exacerbated these effects, mirrored in human peripheral blood mononuclear cells. Single-cell sequencing showed a marked reduction in macrophage populations, affecting the spleen's ability to clear RBCs and contributing to splenomegaly. Our findings suggest splenic ferroptosis contributes to decreased RPMs, affecting erythrophagocytosis and potentially fostering continuous RBCs production in HAPC. These insights could guide the development of targeted therapies for HAPC, emphasizing the importance of splenic macrophages in disease pathology.

Non-invasive prediction for pathologic complete response to neoadjuvant chemoimmunotherapy in lung cancer using CT-based deep learning: a multicenter study.

Neoadjuvant chemoimmunotherapy has revolutionized the therapeutic strategy for non-small cell lung cancer (NSCLC), and identifying candidates likely responding to this advanced treatment is of important clinical significance. The current multi-institutional study aims to develop a deep learning model to predict pathologic complete response (pCR) to neoadjuvant immunotherapy in NSCLC based on computed tomography (CT) imaging and further prob the biologic foundation of the proposed deep learning signature. A total of 248 participants administrated with neoadjuvant immunotherapy followed by surgery for NSCLC at Ruijin Hospital, Ningbo Hwamei Hospital, and Affiliated Hospital of Zunyi Medical University from January 2019 to September 2023 were enrolled. The imaging data within 2 weeks prior to neoadjuvant chemoimmunotherapy were retrospectively extracted. Patients from Ruijin Hospital were grouped as the training set (n = 104) and the validation set (n = 69) at the 6:4 ratio, and other participants from Ningbo Hwamei Hospital and Affiliated Hospital of Zunyi Medical University served as an external cohort (n = 75). For the entire population, pCR was obtained in 29.4% (n = 73) of cases. The areas under the curve (AUCs) of our deep learning signature for pCR prediction were 0.775 (95% confidence interval [CI]: 0.649 - 0.901) and 0.743 (95% CI: 0.618 - 0.869) in the validation set and the external cohort, significantly superior than 0.579 (95% CI: 0.468 - 0.689) and 0.569 (95% CI: 0.454 - 0.683) of the clinical model. Furthermore, higher deep learning scores correlated to the upregulation for pathways of cell metabolism and more antitumor immune infiltration in microenvironment. Our developed deep learning model is capable of predicting pCR to neoadjuvant chemoimmunotherapy in patients with NSCLC.

Structurally diverse oxygen-containing aromatic compounds with anti-inflammatory activity from Aspergillus sp. LY-1-2.

Three isocoumarins, ascoisocoumarin A (1), embeurekol (2), and sclerotinin A (3), and five biosynthetically related derivatives, ascospinols A-C (4, 6, and 7), and talaflavuols C and B (5 and 8), together with twelve polyketides or terpenes (9-20) were isolated from the fungus Aspergillus sp. LY-1-2 inhabited in a sample of Cordyceps sp. Most of them belong to the family of oxygen-containing aromatic compounds and compounds 1, 4, 6, and 7 are previously undescribed compounds. Their planar structures were established by a combined spectroscopic analysis of HRESIMS and NMR, and their stereochemistry was determined by 13C NMR calculations with sorted training set (STS) protocol analysis, and ECD calculations. New compounds 1 and 6 displayed potential anti-inflammatory effects in lipopolysaccharide (LPS)-induced BV2 microglia cells.

Assessing the Causal Relationship between Genetically Determined Inflammatory Cytokines and Parkinson's Disease Risk: A Bidirectional Two-Sample Mendelian Randomization Study.

Background: Observational studies have suggested an association between inflammatory cytokines and Parkinson's disease (PD). This Mendelian randomization (MR) was conducted to further assess the causal correlations between inflammatory cytokines and PD. Methods: Genetic instruments associated with inflammatory cytokines were extracted from a large summary genome-wide association studies (GWAS) involving 8,293 European participants. Summary-level statistics for PD were obtained from a large-sample GWAS containing 17 studies that involved European participants. Causalities of exposures and outcomes were explored mainly using inverse variance weighted (IVW) method. Results: The IVW method indicated that basic fibroblast growth factor (FGFBasic), interleukin-2 (IL-2), and macrophage migration inhibitory factor (MIF) may be suggestively associated with the risk of PD (OR: 0.71, 95%CI: 0.52-0.96, P = 0.027; OR: 1.18, 95%CI: 1.01-1.38, P = 0.041; and OR: 1.23, 95%CI: 1.04-1.46, P = 0.018). In the reverse direction, monokine induced by interferon gamma (MIG), beta nerve growth factor (bNGF), interleukin-17 (IL-17), and interferon gamma (IFNg) are suggested to be the consequences of PD. Conclusion: Our MR analysis indicated that suggestive associations between circulating levels of FGFBasic, IL-2, and MIF and PD risk. In addition, MIG, bNGF, IL-17, and IFNg are more likely to be involved in the development of downstream PD.

Synthesis of salcaprozate sodium and its significance in enhancing pancreatic kininogenase absorption performance.

We conducted pharmacokinetic research wherein salcaprozate sodium (SNAC) was utilized as a penetration enhancer by incorporating it into pancreatic kininogenase (PK) to improve the bioavailability of pancreatic kininogenase enteric-coated tablets. We conducted in vitro studies on PK using the Caco-2 cell model and quantified PK levels using the enzyme-linked immunosorbent assay (ELISA) method. We conducted methodological verification by blending SNAC and PK powders into enteric-coated capsules, and studied the pharmacokinetic characteristics. Based on the PK transport assay, the cumulative permeation rates of the test group that employed a SNAC to PK ratio of 32:1, 16:1, 8:1, 4:1, and 2:1 were 13.574%, 7.597%, 10.653%, 3.755%, and 2.523%, respectively. We conducted a uniformity test on the powder that contained a blend of SNAC and PK. The relative standard deviations (RSDs) for both the power containing SNAC and the power not containing SNAC were less than 10%. Based on the methodological verification, in vivo pharmacokinetic study of PK met the experimental requirements. As indicated by the results of in vivo pharmacokinetic research on rats, the test group (This group used SNAC) had a PK AUC0-12 h of 5679.747 ng/L*h and t1/2 of 4.569 h, while the control group (This group did not use SNAC) had a PK AUC0-12 h of 4639.665 ng/L*h and t1/2 of 3.13 h. This study has established a low-cost, environmentally friendly, and safe SNAC synthesis route with high process yield suitable for industrial production. SNAC demonstrates an absorption-enhancing effect on PK, and the optimal ratio of SNAC to PK is determined to be 32:1.