The feeding preference and bite response between Microtus fortis and Broussonetia papyrifera.

Introduction: Broussonetia papyrifera is a dioecious plant that is rich in various metabolites and widely distribute in Asia. Microtus fortis is a rodent that often causes damage to crops, especially in the Dongting Lake region of China. There is a wide overlap in the distribution areas for the above species and the M. fortis feeds on the leaves of the B. papyrifera. Preliminary experiments have shown that the reproduction of M. fortis is inhibited after feeding on the leaves of the B. papyrifera. Methods: In order to explore the potential of using B. papyrifera to develop botanical pesticides, we investigated the palatability and reactive substances. The feeding frequency of M. fortis on B. papyrifera leaves to that of on daily fodder and Carex brevicuspis that is the primary food for the wild population were compared. We also attempted to identify the responsive substances in B. papyrifera leaves that were bitten by M. fortis using metabolome analysis. Results: In general, B. papyrifera leaves exhibited a stronger attraction to M. fortis. M. fortis foraged B. papyrifera leaves more frequently, and the intake was higher than that of the other two. Differential metabolites were screened by comparing normal leaves and leaves bitten by M. fortis, meanwhile with the intervention of clipped leaves. A total of 269 substances were screened, and many of these were involved in the biosynthesis of secondary metabolites, including terpenoids and alkaloids. These substances may be related to the defense mechanism of B. papyrifera against herbivores. Discussion: These findings support further research examining animal-plant interactions and simultaneously provide insights into the utilisation of B. papyrifera resources and the management of rodents. The good palatability and the defense of B. papyrifera leaves suggest that they have the potential to contribute in development of plant rodenticide.

Non-linear association of the platelet/high-density lipoprotein cholesterol ratio with bone mineral density a cross-sectional study.

BACKGROUND: Numerous studies have demonstrated shared risk factors and pathophysiologic mechanisms between osteoporosis and cardiovascular disease. High-density lipoprotein cholesterol (HDL-C) and platelets have long been recognized as crucial factors for cardiovascular health. The platelet to HDL-C ratio (PHR) combines platelet count and high-density lipoprotein cholesterol (HDL-C) level, It is a novel biomarker for metabolic syndrome and cardiovascular disease. The platelet to HDL-C ratio (PHR) possibly reflects the balance between proinflammatory and anti-inflammatory states in the body. Therefore, we hypothesized that changes in PHR ratios may predict a predisposition to pro-inflammatory and increased bone resorption. However, the relationship between the platelet to HDL-C ratio (PHR) and bone mineral density (BMD) remains insufficiently understood. This study aimed to elucidate the relationship between the platelet to HDL-C ratio (PHR) index and bone mineral density (BMD). METHODS: Data from the NHANES 2005-2018 were analyzed, excluding adults with missing key variables and specific conditions. Nonlinear relationships were explored by fitting smoothed curves and generalized additive models, with threshold effects employed to calculate inflection points. Additionally, subgroup analyses and interaction tests were conducted. RESULTS: The study included 13,936 individuals with a mean age of 51.19 ± 16.65 years. Fitted smoothed curves and generalized additive models revealed a nonlinear, inverted U-shaped relationship between the two variables. Threshold effect analysis showed a significant negative association between PHR and total femur bone mineral density (BMD) beyond the inflection point of platelet to HDL-C ratio (PHR) 33.301. Subgroup analyses showed that a significant interaction between these two variables was observed only in the age and sex subgroups (P-interaction < 0.05). CONCLUSIONS: Our study identified a complex, nonlinear, inverted U-shaped relationship between platelet to HDL-C ratio (PHR) and total femur bone mineral density (BMD). These findings underscore the importance of maintaining optimal PHR levels to support bone health, especially in high-risk populations.

Simultaneous Focused Ultrasound Neuromodulation and Fiber Photometry Recording in Free-Moving Mouse.

Focused ultrasound neuromodulation (FUN) represents a promising approach for non-invasive perturbation of neuronal circuits at deep brain regions. It is compatible with most of the existing modalities for monitoring brain functions in vivo. Integration with brain function recording modalities not only enables us to address orders and disorders of specific brain functions with closed-loop feedback but also provides us with mechanistic insights about FUN itself. Here, we provide a modified, simple, dependable, and robust protocol for the simultaneous application of FUN and fiber photometry GCaMP6s fluorescence recording in free-moving mice. This involves the fabrication of a well-sized single transducer and its temporary placement on the mice, along with the secure fixation of a fiber optical implant to facilitate the smooth passage of the transducer. The combination of FUN and fiber photometry provides for the optical recording of neural circuitry responses upon FUN in real-time in deep brain regions. To demonstrate the efficiency of this protocol, Thy1-GCaMP6s mice were used as an example to record the neuroactivity in the anterior thalamic nucleus during FUN while the mice are freely moving. We believe that this protocol can promote the widespread use of FUN in both the neuroscience field and the biomedical ultrasound field.

Energy Landscape Reveals the Underlying Mechanism of Cancer-Adipose Conversion in Gene Network Models.

Cancer is a systemic heterogeneous disease involving complex molecular networks. Tumor formation involves an epithelial-mesenchymal transition (EMT), which promotes both metastasis and plasticity of cancer cells. Recent experiments have proposed that cancer cells can be transformed into adipocytes via a combination of drugs. However, the underlying mechanisms for how these drugs work, from a molecular network perspective, remain elusive. To reveal the mechanism of cancer-adipose conversion (CAC), this study adopts a systems biology approach by combing mathematical modeling and molecular experiments, based on underlying molecular regulatory networks. Four types of attractors are identified, corresponding to epithelial (E), mesenchymal (M), adipose (A) and partial/intermediate EMT (P) cell states on the CAC landscape. Landscape and transition path results illustrate that intermediate states play critical roles in the cancer to adipose transition. Through a landscape control approach, two new therapeutic strategies for drug combinations are identified, that promote CAC. These predictions are verified by molecular experiments in different cell lines. The combined computational and experimental approach provides a powerful tool to explore molecular mechanisms for cell fate transitions in cancer networks. The results reveal underlying mechanisms of intermediate cell states that govern the CAC, and identified new potential drug combinations to induce cancer adipogenesis.

Botany, phytochemistry, pharmacologic activities, traditional applications, pharmacokinetics, quality control and toxicity of Zanthoxyli Radix: An updated review.

ETHNOPHARMACOLOGICAL RELEVANCE: Zanthoxyli Radix (ZR), the dry root of Zanthoxylum nitidum (Roxb.) DC (ZN) is known as Liang Mian Zhen in China and has been the preferred Chinese medicine for the treatment of inflammation and cancer disease at home and abroad. ZR has been used as the core ingredient in anti-inflammatory traditional medicines, such as Sanjiuweitai granules and Jinji tablets, etc. AIM OF THE WORK: This review aimed to provide a comprehensive overview of ZR in terms of traditional uses, quality control, botany, phytochemistry, pharmacology, toxicology, and pharmacokinetics. Meanwhile, the anti-inflammatory substances and mechanism of ZR were emphasized, to offer new perspectives and broad scopes for future studies. MATERIALS AND METHODS: The information was retrieved from Web of Science, Researchgate, Google Scholar, SciFinder, X-MOL, PubMed, China National Knowledge Infrastructure (CNKI), Chinese Masters and Doctoral Dissertations, and Elsevier between 1984 and 2024. RESULTS: Till now, a total of 184 chemical components have been identified in ZR, including 91 alkaloids, 22 lignans, 4 flavonoids, 19 coumarins, 17 terpenoids, and 31 other types. Pharmacological studies have proved that ZR had a variety of biological activities, such as anti-tumour, antibacterial, antioxidant and other activities, particularly in anti-inflammation. ZR exerts anti-inflammatory disease effects by modulating various signaling pathways, including MAPK, NF-κB, P13/AKT and JAK/STAT. Pharmacokinetic studies have shown that ZR exhibits low absorption rates, broad distribution, and rapid metabolism. Additionally, this review also revealed the shortcomings of current research on ZR and possible future research directions. CONCLUSION: Extensive literature analysis indicates that ZR and its bioactive constituents possess diverse pharmacological activities, especially anti-inflammation. Moreover, in order to promote the safety and adaptability of ZR in clinical application, it is also strongly recommended that further research should focus on toxicity studies, pharmacokinetic studies of herb-drug interactions, and quality control.

Sophorae tonkinensis radix et rhizoma: A comprehensive review of the ethnopharmacology, phytochemistry, pharmacology, pharmacokinetics, toxicology and detoxification strategy.

ETHNOPHARMACOLOGICAL RELEVANCE: Sophorae tonkinensis Radix et Rhizoma (STR), the dried root and rhizome of Sophora tonkinensis Gagnep., is commonly used in the treatment of tonsillitis and pharyngitis, throat soreness and throat obstruction, swelling and aching of gum, etc. in China or other Asian countries. STR is usually used as the core herb in traditional Chinese medicine preparations, such as "Biyanling Tablets", "Fufang Muji Granules" and "Ganyanling Injections", etc. AIM OF THE REVIEW: This review aimed to provide a comprehensive analysis of STR in terms of botany, traditional use, phytochemistry, ethnopharmacology, pharmacology, pharmacokinetics, toxicology and detoxification strategy, to provide a rational application in future research. MATERIALS AND METHODS: The information involved in the study was gathered from a variety of electronic resources, including China National Knowledge Infrastructure (CNKI), SciFinder, Google Scholar, PubMed, Web of Science, and Chinese Masters and Doctoral Dissertations. RESULTS: Till now, a total of 333 chemical components have been identified in STR, including 85 alkaloids, 124 flavonoids, 24 triterpenes, 27 triterpene saponins, 34 organic acids, 8 polysaccharides, etc. STR and its main active constituents have cardiovascular protection, anti-tumor activity, anti-inflammatory activity, antipyretic activity, analgesic activity, antibacterial activity, antifungal activity, antiviral activity, and hepatoprotective activity, etc. However, toxic effects of STR on the liver, nerves, heart, and gastrointestinal tract have also been observed. To mitigate these risks, STR needs attenuation before use, with the most common detoxification methods being processing and combined use with other drugs. The pharmacokinetics of STR in vivo and traditional and clinical prescriptions containing STR have been sorted out. Despite the potential therapeutic benefits of STR, further research is warranted to elucidate its hepatotoxicity, particularly in vivo, exploring aspects such as in vivo metabolism, distribution, and mechanisms. CONCLUSION: This review serves to emphasize the therapeutic potential of STR and highlights the crucial need to address its toxicity concerns before considering clinical application. Further research is required to comprehensively investigate the toxicological properties of STR, with particular emphasis on its hepatotoxicity and neurotoxicity. Such research endeavors have the potential to standardize the rational application of STR for optimal therapeutic outcomes.

Bending Collapse and Energy Absorption of Dual-Phase Lattice Structures.

A dual-phase lattice structure composed of mixed units with hard and soft phase characteristics is proposed in this work. The proposed lattice structure has high specific energy absorption and high compressive strength. The load response and energy absorption characteristics under bending loads were studied through three-point bending tests and numerical analysis methods. The research results indicate that although the deformation modes of the given lattice structure are the same, the dual-phase design strategy significantly improves the bending performance of the lattice structure: the bending modulus is increased by 744.7%, and the specific energy absorption is increased by 243.5%.

Decursin ameliorates neurotoxicity induced by glutamate through restraining ferroptosis by up-regulating FTH1 in SH-SY5Y neuroblastoma cells.

Alzheimer's disease (AD) is the most common form of neurodegeneration which currently has no effective treatment. Ferroptosis is a new style of programmed cell death and is widely implicated in the pathogenesis and progression of AD. Decursin has been shown widely neuroprotective effects but poorly understood about the underlying mechanisms between decursin and ferroptosis in AD. Here, the protective effect of decursin and the underlying mechanism under glutamate treatment in SH-SY5Y cells was investigated. SH-SY5Y cells were cultured with glutamate in the presence or absence of decursin. The safe concentrations of decursin on SH-SY5Y cells were measured via CCK-8. Furthermore, LDH content, antioxidant enzyme activities including GPx, CAT and SOD, MDA contents, GSH levels, ROS formation, MMP, mitochondria ultrastructure morphology change, and intracellular Fe2+ levels were measured to investigate the influence of decursin and Fer-1 on ferroptosis in glutamate-treated SH-SY5Y cells. Moreover, the expressions of ferroptosis-related proteins were determined by Western blot. As a result, glutamate-induced cell survival was markedly elevated and morphological change was improved by decursin administrated in SH-SY5Y cells. Furthermore, decursin could reversed the decreased antioxidant enzyme activities, GSH levels, GPX4n and FTH1 expression, as well as the increased iron levels, LDH, MDA, ROS formation, and MMP, which showed similar effects to Fer-1, the specific ferroptosis inhibitor. Therefore, the inhibitory effect of decursin on ferroptosis probably was partially governed by FTH1 expression to regulate the cellular iron homeostasis. Additionally, decursin facilitated the translocation of Nrf2 from the cytoplasm to the nucleus. Taken together, our data for the first time suggest that decursin could ameliorate neurotoxicity induced by glutamate by attenuating ferroptosis via alleviating cellular iron levels by up-regulating FTH1 expression which is attributing to its promotion of Nrf2 translocation into the nucleus in SH-SY5Y neuroblastoma cells. Hence, decursin might be a novel and promising therapeutic option for AD. In addition, our study also provided some new clues to potential target for the intervention and therapy of AD.

MOSDNET: A multi-omics classification framework using simplified multi-view deep discriminant representation learning and dynamic edge GCN with multi-task learning.

The integration of multi-omics data offers a robust approach to understanding the complexity of diseases by combining information from various biological levels, such as genomics, transcriptomics, proteomics, and metabolomics. This integrated approach is essential for a comprehensive understanding of disease mechanisms and for developing more effective diagnostic and therapeutic strategies. Nevertheless, most current methodologies fail to effectively extract both shared and specific representations from omics data. This study introduces MOSDNET, a multi-omics classification framework that effectively extracts shared and specific representations. This framework leverages Simplified Multi-view Deep Discriminant Representation Learning (S-MDDR) and Dynamic Edge GCN (DEGCN) to enhance the accuracy and efficiency of disease classification. Initially, MOSDNET utilizes S-MDDR to establish similarity and orthogonal constraints for extracting these representations, which are then concatenated to integrate the multi-omics data. Subsequently, MOSDNET constructs a comprehensive view of the sample data by employing patient similarity networks. By incorporating similarity networks into DEGCN, MOSDNET learns intricate network structures and node representations, which enables superior classification outcomes. MOSDNET is trained through a multitask learning approach, effectively leveraging the complementary knowledge from both the data integration and classification components. After conducting extensive comparative experiments, we have conclusively demonstrated that MOSDNET outperforms leading state-of-the-art multi-omics classification models in terms of classification accuracy. Simultaneously, we employ MOSDNET to identify pivotal biomarkers within the multi-omics data, providing insights into disease etiology and progression.

KREH2 helicase represses ND7 mRNA editing in procyclic-stage Trypanosoma brucei by opposite modulation of canonical and 'moonlighting' gRNA utilization creating a proposed mRNA structure.

Unknown factors regulate mitochondrial U-insertion/deletion (U-indel) RNA editing in procyclic-form (PCF) and bloodstream-form (BSF) T. brucei. This editing, directed by anti-sense gRNAs, creates canonical protein-encoding mRNAs and may developmentally control respiration. Canonical editing by gRNAs that specify protein-encoding mRNA sequences occurs amid massive non-canonical editing of unclear sources and biological significance. We found PCF-specific repression at a major early checkpoint in mRNA ND7, involving helicase KREH2-dependent opposite modulation of canonical and non-canonical 'terminator' gRNA utilization. Terminator-programmed editing derails canonical editing and installs proposed repressive structure in 30% of the ND7 transcriptome. BSF-to-PCF differentiation in vitro recreated this negative control. Remarkably, KREH2-RNAi knockdown relieved repression and increased editing progression by reverting canonical/terminator gRNA utilization. ND7 transcripts lacking early terminator-directed editing in PCF exhibited similar negative editing control along the mRNA sequence, suggesting global modulation of gRNA utilization fidelity. The terminator is a 'moonlighting' gRNA also associated with mRNA COX3 canonical editing, so the gRNA transcriptome seems multifunctional. Thus, KREH2 is the first identified repressor in developmental editing control. This and our prior work support a model whereby KREH2 activates or represses editing in a stage and substrate-specific manner. KREH2's novel dual role tunes mitochondrial gene expression in either direction during development.

Identification and Function Analysis of Novel Hypoglycemic and Antioxidant Peptides from Chickpea.

Chickpea is rich in protein and has been demonstrated to possess hypoglycaemic effects. However, the specific bioactive ingredients and mechanisms underlying their hypoglycaemic effects remain unclear. In this study, enzymatic hydrolysis and gel permeation chromatography were used to extract chickpea bioactive peptide (CBP) from chickpea protein. One of the products, CBP-75-3, was found to inhibit α-glucosidase (GAA) activity and significantly increase the viability of insulin resistant (IR) cells. Moreover, CBP-75-3 significantly increased the rate of glucose consumption and glycogen synthesis in IR-HepG2 cells. Moreover, CBP-75-3 decreased the levels of malondialdehyde and increased the levels of superoxide dismutase, glutathione, and glutathione peroxidase. Subsequently, 29 novel bioactive peptides in CBP-75-3 were identified by LC‒MS/MS, and the potential hypoglycaemic targets of these novel bioactive peptides were investigated using molecular docking. Based on the results, the residues of the novel bioactive peptides interact with GAA through hydrogen bonding (especially LLR, FH, RQLPR, KGF and NFQ by binding to the substrate binding pocket or the active centre of GAA), thereby inhibiting GAA activity and laying a foundation for its hypoglycaemic activity. In short, the novel bioactive peptides isolated and identified from chickpea can effectively exert hypoglycaemic effects and increase the antioxidant capacity of IR-HepG2 cells. This study reveals that CBP-75-3, a natural hypoglycaemic ingredient, has potential for applications in functional foods and provides a theoretical basis for the development and application of CBP in the future.

The association of combined vitamin C and D deficiency with bone mineral density and vertebral fracture.

PURPOSE: Both vitamin C and D deficiencies are extremely common in clinical practice, especially in elderly population. Unfortunately, the role of vitamin C deficiency in osteoporosis related consequences is often neglected. The aim of the present study is to analyse if combined vitamin C and D deficiency would have an association with bone mineral density (BMD) and osteoporotic vertebral fracture (OVF). METHODS: Ninety-nine post-menopausal female patients admitted in the department of spine surgery of third affiliated hospital of Sun Yat-sen University were enrolled in the study. The participants were divided into four groups; vitamin D deficiency alone (comparator group), vitamin C deficiency alone and combined vitamin C and D deficiency as experimental group. The levels of vitamin C, vitamin D, calcium, phosphorous, BMD and condition of OVF were analysed. RESULTS: There were statistically significant differences between the groups in terms of vitamin C and D levels. In terms of lumbar BMD, significant differences were observed between vitamin D deficiency alone and combined vitamin C and D deficiency. Only the combined vitamin C and D deficiency had a significant negative association with lumbar BMD and T-score. Similarly, combined vitamin C and D deficiency had a significant positive association with lumbar osteoporosis. None of the groups had any significant association with OVF. Combined vitamin C and D deficiency was found to be significantly associated with lower lumbar BMD and osteoporosis. CONCLUSION: Combined vitamin C and D deficiency results in lower bone mineral density and higher risk of osteoporosis. We believe that existence of deficiencies of both vitamins could have a synergistic effect. Therefore, we recommend that vitamin C and D should be routinely measured in clinical practice.

Covalent Organic Frameworks for Photocatalytic Reduction of Carbon Dioxide: A Review.

Covalent organic frameworks (COFs) are crystalline networks with extended backbones cross-linked by covalent bonds. Due to the semiconductive properties and variable metal coordinating sites, along with the rapid development in linkage chemistry, the utilization of COFs in photocatalytic CO2RR has attracted many scientists' interests. In this Review, we summarize the latest research progress on variable COFs for photocatalytic CO2 reduction. In the first part, we present the development of COF linkages that have been used in CO2RR, and we discuss four mechanisms including COFs as intrinsic photocatalysts, COFs with photosensitive motifs as photocatalysts, metalated COF photocatalysts, and COFs with semiconductors as heterojunction photocatalysts. Then, we summarize the principles of structural designs including functional building units and stacking mode exchange. Finally, the outlook and challenges have been provided. This Review is intended to give some guidance on the design and synthesis of diverse COFs with different linkages, various structures, and divergent stacking modes for the efficient photoreduction of CO2.

Dissection of potential anti-osteoporosis mechanism of isopsoralen - a quality control marker in Psoraleae Fructus - by metabolite profiling and network pharmacology.

RATIONALE: Isopsoralen (ISO), a quality control marker (Q-marker) in Psoraleae Fructus, is proven to present an obvious anti-osteoporosis effect. Until now, the metabolism and anti-osteoporosis mechanisms of ISO have not been fully elucidated, greatly restricting its drug development. METHODS: The metabolites of ISO in rats were profiled by using ultrahigh-performance liquid chromatography coupled with time-of-flight mass spectrometry. The potential anti-osteoporosis mechanism of ISO in vivo was predicted by using network pharmacology. RESULTS: A total of 15 metabolites were characterized in rats after ingestion of ISO (20 mg/kg/day, by gavage), including 2 in plasma, 12 in urine, 6 in feces, 1 in heart, 3 in liver, 1 in spleen, 1 in lung, 3 in kidney, and 2 in brain. The pharmacology network results showed that ISO and its metabolites could regulate AKT1, SRC, NFKB1, EGFR, MAPK3, etc., involved in the prolactin signaling pathway, ErbB signaling pathway, thyroid hormone pathway, and PI3K-Akt signaling pathway. CONCLUSIONS: This is the first time for revealing the in vivo metabolism features and potential anti-osteoporosis mechanism of ISO by metabolite profiling and network pharmacology, providing data for further verification of pharmacological mechanism.

Synthesis and Preclinical Evaluation of [18F]AlF-NOTA-Asp2-PEG2-Folate as a Novel Folate-Receptor-Targeted Tracer for PET Imaging.

Recently, the folate receptor (FR) has become an exciting target for the diagnosis of FR-positive malignancies. Nevertheless, suboptimal in vivo pharmacokinetic properties, particularly high uptake in the renal and hepatobiliary systems, are important limiting factors for the clinical translation of most FR-based radiotracers. In this study, we developed a novel 18F-labeled FR-targeted positron emission tomography (PET) tracer [18F]AlF-NOTA-Asp2-PEG2-Folate modified with a hydrophilic linker (-Asp2-PEG2) to optimize its pharmacokinetic properties and conducted a comprehensive preclinical assessment. The [18F]AlF-NOTA-Asp2-PEG2-Folate was manually synthesized within 30 min with a non-decay-corrected radiochemical yield of 16.3 ± 2.0% (n = 5). Among KB cells, [18F]AlF-NOTA-Asp2-PEG2-Folate exhibited high specificity and affinity for FR. PET/CT imaging and biodistribution experiments in KB tumor-bearing mice showed decent tumor uptake (1.7 ± 0.3% ID/g) and significantly decreased uptake in kidneys and liver (22.2 ± 2.1 and 0.3 ± 0.1% ID/g at 60 min p.i., respectively) of [18F]AlF-NOTA-Asp2-PEG2-Folate, compared to the known tracer [18F]AlF-NOTA-Folate (78.6 ± 5.1 and 5.3 ± 0.5 % ID/g at 90 min p.i., respectively). The favorable properties of [18F]AlF-NOTA-Asp2-PEG2-Folate, including its efficient synthesis, decent tumor uptake, relatively low renal uptake, and rapid clearance from most normal organs, portray it as a promising PET tracer for FR-positive tumors.

Active Beam Steering Enabled by Photonic-Crystal Surface-Emitting Laser.

Emitting light toward on-demand directions is important for various optoelectronic applications, such as optical communication, displaying, and ranging. However, almost all existing directional emitters are assemblies of passive optical antennae and external light sources, which are usually bulky and fragile and show unendurable loss of light power. Here we theoretically propose and experimentally demonstrate a conceptual design of a directional emitter, by using a single surface-emitting laser source itself to achieve dynamically controlled beam steering. The laser is built on photonic crystals that operate near the band edges in the continuum. By shrinking laser sizes to tens-of-wavelength, the optical modes quantize in three-dimensional momentum space, and each of them directionally radiates toward the far-field. Further utilizing the luminescence spectrum shifting effect under current injection, we consecutively select a sequence of modes into lasing action and show the laser maintaining single-mode operation with line widths at a minimum of 1.8 MHz and an emitting power of ∼10 milliwatts, and we demonstrate fast beam steering across a range of 3.2° × 4° on a time scale of 500 ns. Our work proposes a method for on-chip active beam steering for the development of automotive, industrial, and robotic applications.

Neuroprotective macromolecular methylprednisolone prodrug nanomedicine prevents glucocorticoid-induced muscle atrophy and osteoporosis in a rat model of spinal cord injury.

To address the adverse side effects associated with systemic high-dose methylprednisolone (MP) therapy for acute spinal cord injury (SCI), we have developed a N-2-hydroxypropyl methacrylamide copolymer-based MP prodrug nanomedicine (Nano-MP). Intravenous Nano-MP selectively targeted to the inflamed SCI lesion and significantly improved neuroprotection and functional recovery after acute SCI. In the present study, we comprehensively assessed the potential adverse side effects associated with the treatment in the SCI rat models, including reduced body weight and food intake, impaired glucose metabolism, and reduced musculoskeletal mass and integrity. In contrast to free MP treatment, intravenous Nano-MP after acute SCI not only offered superior neuroprotection and functional recovery but also significantly mitigated or even eliminated the aforementioned adverse side effects. The superior safety features of Nano-MP observed in this study further confirmed the clinical translational potential of Nano-MP as a highly promising drug candidate for better clinical management of patients with acute SCI.

Directly selecting cell-type marker genes for single-cell clustering analyses.

In single-cell RNA sequencing (scRNA-seq) studies, cell types and their marker genes are often identified by clustering and differentially expressed gene (DEG) analysis. A common practice is to select genes using surrogate criteria such as variance and deviance, then cluster them using selected genes and detect markers by DEG analysis assuming known cell types. The surrogate criteria can miss important genes or select unimportant genes, while DEG analysis has the selection-bias problem. We present Festem, a statistical method for the direct selection of cell-type markers for downstream clustering. Festem distinguishes marker genes with heterogeneous distribution across cells that are cluster informative. Simulation and scRNA-seq applications demonstrate that Festem can sensitively select markers with high precision and enables the identification of cell types often missed by other methods. In a large intrahepatic cholangiocarcinoma dataset, we identify diverse CD8+ T cell types and potential prognostic marker genes.

Elucidating genetic and molecular basis of altered higher-order brain structure-function coupling in major depressive disorder.

Previous studies have shown that major depressive disorder (MDD) patients exhibit structural and functional impairments, but few studies have investigated changes in higher-order coupling between structure and function. Here, we systematically investigated the effect of MDD on higher-order coupling between structural connectivity (SC) and functional connectivity (FC). Each brain region was mapped into embedding vector by the node2vec algorithm. We used support vector machine (SVM) with the brain region embedding vector to distinguish MDD patients from health controls (HCs) and identify the most discriminative brain regions. Our study revealed that MDD patients had decreased higher-order coupling in connections between the most discriminative brain regions and local connections in rich-club organization and increased higher-order coupling in connections between the ventral attentional network and limbic network compared with HCs. Interestingly, transcriptome-neuroimaging association analysis demonstrated the correlations between regional rSC-FC coupling variations between MDD patients and HCs and α/ß-hydrolase domain-containing 6 (ABHD6), ß 1,3-N-acetylglucosaminyltransferase-9(ß3GNT9), transmembrane protein 45B (TMEM45B), the correlation between regional dSC-FC coupling variations and retinoic acid early transcript 1E antisense RNA 1(RAET1E-AS1), and the correlations between regional iSC-FC coupling variations and ABHD6, ß3GNT9, katanin-like 2 protein (KATNAL2). In addition, correlation analysis with neurotransmitter receptor/transporter maps found that the rSC-FC and iSC-FC coupling variations were both correlated with neuroendocrine transporter (NET) expression, and the dSC-FC coupling variations were correlated with metabotropic glutamate receptor 5 (mGluR5). Further mediation analysis explored the relationship between genes, neurotransmitter receptor/transporter and MDD related higher-order coupling variations. These findings indicate that specific genetic and molecular factors underpin the observed disparities in higher-order SC-FC coupling between MDD patients and HCs. Our study confirmed that higher-order coupling between SC and FC plays an important role in diagnosing MDD. The identification of new biological evidence for MDD etiology holds promise for the development of innovative antidepressant therapies.

Characterization of metabolic features and potential anti-osteoporosis mechanism of pinoresinol diglucoside using metabolite profiling and network pharmacology.

RATIONALE: Eucommia cortex is the core herb in traditional Chinese medicine preparations for the treatment of osteoporosis. Pinoresinol diglucoside (PDG), the quality control marker and the key pharmacodynamic component in Eucommia cortex, has attracted global attention because of its definite effects on osteoporosis. However, the in vivo metabolic characteristics of PDG and its anti-osteoporotic mechanism are still unclear, restricting its development and application. METHODS: Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used to analyze the metabolic characteristics of PDG in rats, and its anti-osteoporosis targets and mechanism were predicted using network pharmacology. RESULTS: A total of 51 metabolites were identified or tentatively characterized in rats after oral administration of PDG (10 mg/kg/day), including 9 in plasma, 28 in urine, 13 in feces, 10 in liver, 4 in heart, 3 in spleen, 11 in kidneys, and 5 in lungs. Furan-ring opening, dimethoxylation, glucuronidation, and sulfation were the main metabolic characteristics of PDG in vivo. The potential mechanism of PDG against osteoporosis was predicted using network pharmacology. PDG and its metabolites could regulate BCL2, MARK3, ALB, and IL6, involving PI3K-Akt signaling pathway, estrogen signaling pathway, and so on. CONCLUSIONS: This study was the first to demonstrate the metabolic characteristics of PDG in vivo and its potential anti-osteoporosis mechanism, providing the data for further pharmacological validation of PDG in the treatment of osteoporosis.