Jintiange capsule may have a positive effect on pain relief and functional activity in OVCF patients with PVA: A meta-analysis of randomized control trials.

BACKGROUND: This study aims to systematically evaluate the clinical efficacy and adverse reactions associated with Jintiange capsule (JTG capsule)-assisted percutaneous vertebral augmentation (PVA) in the treatment of osteoporotic vertebral compression fracture (OVCF). METHODS: A comprehensive search was conducted across multiple databases including PubMed, Cochrane Library, EMBASE, Web of Science Database, China Biomedical Database, China VIP Network, China National Knowledge Infrastructure, Wanfang, and VIP Chinese Journal databases until June 1, 2022. Manual searches were also performed in relevant journals. Randomized controlled trials investigating the efficacy of JTG capsule-assisted PVA in the treatment of OVCF were identified and selected for inclusion. The quality of the included studies was assessed using the Cochrane risk bias assessment tool and Jadad scale. Meta-analysis was conducted using Stata MP18 software. RESULTS: A total of 138 literatures were retrieved, and 12 RCTS were finally included after screening, involving 1099 patients. Overall, the quality of the included literature was low, and all the included literatures were randomized controlled experiments, among which 9 were grouped by random number table, and 3 did not specify the random assignment plan. The total effective rate of the experimental group was higher than that of the control group (relative ratio: 1.19, 95% confidence interval: 1.11, 1.26, P = .868, I2 = 0%). The heterogeneity of visual analog score, Oswestry disability index, bone mineral density (BMD) of lumbar vertebrae, BMD of femoral neck and bone-γ-carboxyglutamic acid-containing protein was high. The reasons for the high heterogeneity were the age of patients, the follow-up time and the small sample size. There is publication bias in visual analog score, Oswestry disability index scores, and lumbar spine bone mineral density, and we believe that publication bias may be related to selective reporting of positive results by the authors and selective publication of positive results by the publishers. CONCLUSION: JTG capsule has demonstrated promising outcomes in alleviating the pain experienced by OVCF patients following PVP. Additionally, it has shown efficacy in enhancing postoperative lumbar and back function. Furthermore, JTG capsule has been associated with improvements in postoperative vertebral BMD and serum bone-γ-carboxyglutamic acid-containing protein levels. These findings suggest that JTG capsule could potentially serve as a viable adjunctive treatment option for managing osteoporosis following PVA.

Animal Models of Internal Endplate Injury-Induced Intervertebral Disc Degeneration: A Systematic Review.

OBJECTIVE: To systematically review relevant animal models of disk degeneration induced through the endplate injury pathway and to provide suitable animal models for exploring the intrinsic mechanisms and treatment of disk degeneration. DESIGN: PubMed, Web of Science, Cochrane and other databases were searched for literature related to animal models of disk degeneration induced by the endplate injury pathway from establishment to August 2024, and key contents in the literature were screened and extracted to analyze and evaluate each type of animal model using the literature induction method. RESULTS: Fifteen animal experimental studies were finally included in the literature, which can be categorized into direct injury models and indirect injury models, of which direct injury models include transvertebral injury models and transpedicular approach injury models, and indirect injury models include endplate ischemia models and vertebral fracture-induced endplate injury models. The direct injury models have a minimum observation period of 2 months and a maximum of 32 wk. All direct injury models were successful in causing disk degeneration, and the greater the number of interventions, the greater the degree of disk degeneration caused. The observation period for the indirect injury models varied from 4 wk to 70 wk. Of the 9 studies, only one study was unsuccessful in inducing disk degeneration, and this was the first animal study in this research to attempt to intervene on the endplate to cause disk degeneration. CONCLUSION: The damage to the direct injury model is more immediate and controllable in extent and can effectively lead to disk degeneration. The indirect injury models do not directly damage the endplate structure, making it easier to observe the physiological and pathological condition of the endplate and associated structures of the disk. None of them can completely simulate the corresponding process of endplate injury-induced disk degeneration in humans, and there is no uniform clinical judgment standard for this type of model. The most appropriate animal model still needs further exploration and discovery.

Research on electron beam irradiation in the multiscale structure of starch and its related applications: A review.

Electron beam irradiation (EBI), as a typical "green" emerging technology, can effectively alter the functional properties of starch by influencing its microstructure. This alteration enables starch to meet the current demands of consumers and the market for "health food." This paper reviews studies on modifying various starches using EBI and describes the changes in microstructure, physicochemical properties, and functional properties induced by this method. Additionally, the effects of EBI on starch-containing food products are discussed, along with issues to be addressed and research gaps in the synergistic treatment of modified starch. It is noted that the source, irradiation dose, and irradiation time all influence the effectiveness of starch modification. Given the characteristics of EBI technology, integrating physical, chemical, and biological modification methods can optimize the modification process and enhance efficiency. This technology can potentially diversify modified starch varieties and expand their applications. Furthermore, there remains significant research potential in producing modified starch using EBI technology and applying it to the food industry.

[Construction of Saccharomyces cerevisiae cell factories for fermentation production of retinol].

Retinol is one of the main active forms of vitamin A, crucial for the organism's growth, development, and maintenance of eye and skin functions. It is widely used in cosmetics, pharmaceuticals, and feed additives. Although animals lack a complete pathway for synthesizing vitamin A internally, they can obtain vitamin A directly through diet or convert ß-carotene acquired from the diet. To boost the research on the biosynthesis of retinol, three different sources of alcohol dehydrogenase were firstly screened based on the ß-carotene synthesis platform CAR*1. It was determined that ybbO from Escherichia coli exhibited the highest catalytic activity,with a conversion rate of 95. 6%. To further enhance the reaction rate and yield of retinol, protein fusion technology was employed to merge two adjacent enzymes, blh and ybbO, within the retinol synthesis module. The evaluation was conducted using the high-yield engineered strain CAR*3 of ß-carotene. The optimal combination, blh-GGGS-ybbO, was obtained, with a 44. 9% increase in yield after fusion, reaching(111. 1± 3. 5) mg·L~(-1). Furthermore, through the introduction of human-derived retinol-binding protein(RBP4) and transthyretin(TTR), the process of hepatic cell secreting retinol was simulated in Saccharomyces cerevisiae, leading to an increased retinol yield of(158. 0±13. 1)mg·L~(-1). Finally, optimization strategies including overexpressing INO2 to enhance the reaction area for ß-carotene synthesis, enhancing hemoglobin VHb expression to improve oxygen supply, and strengthening PDR3m expression to facilitate retinol transport were implemented. A two-stage fermentation process resulted in the successful elevation of retinol production to(2 320. 0±26. 0)mg·L~(-1) in the fermentation tank of 5 L, which provided a significant foundation for the industrial development of retinol.

Molecular classification of geriatric breast cancer displays distinct senescent subgroups of prognostic significance.

Breast cancer in the elderly presents distinct biological characteristics and clinical treatment responses compared with cancer in younger patients. Comprehensive Geriatric Assessment is recommended for evaluating treatment efficacy in elderly cancer patients based on physiological classification. However, research on molecular classification in older cancer patients remains insufficient. In this study, we identified two subgroups with distinct senescent clusters among geriatric breast cancer patients through multi-omics analysis. Using various machine learning algorithms, we developed a comprehensive scoring model called "Sene_Signature," which more accurately distinguished elderly breast cancer patients compared with existing methods and better predicted their prognosis. The Sene_Signature was correlated with tumor immune cell infiltration, as supported by single-cell transcriptomics, RNA sequencing, and pathological data. Furthermore, we observed increased drug responsiveness in patients with a high Sene_Signature to treatments targeting the epidermal growth factor receptor and cell-cycle pathways. We also established a user-friendly web platform to assist investigators in assessing Sene_Signature scores and predicting treatment responses for elderly breast cancer patients. In conclusion, we developed a novel model for evaluating prognosis and therapeutic responses, providing a potential molecular classification that assists in the pre-treatment assessment of geriatric breast cancer.

Efficient synthesis of amides from secondary alcohols and CH3CN promoted by Fe(NO3)3·9H2O.

The Ritter reaction is the most attractive method for synthesizing amides, and various acids have been used to promote this reaction. Compared to these acids, Fe(NO3)3·9H2O is less toxic and costly, and it shows relatively high Lewis acidity and great catalytic activity. In this study, a simple and efficient protocol involving Fe(NO3)3·9H2O as an additive for the synthesis of amides was developed. Various secondary alcohols could be reacted with CH3CN to obtain their corresponding products, with CH3CN being used as a reactant and solvent. This protocol was found to be applicable to a wide range of alcohols and nitrile substrates. In general, it was found that substrates containing electron-donating-groups offered the corresponding amides in good to excellent yields, while those with electron-withdrawing groups offered low to moderate yields. Meanwhile, this approach was scalable to the gram level, offering an attractive opportunity for further application in organic synthesis.

Complementary information mutual learning for multimodality medical image segmentation.

Radiologists must utilize medical images of multiple modalities for tumor segmentation and diagnosis due to the limitations of medical imaging technology and the diversity of tumor signals. This has led to the development of multimodal learning in medical image segmentation. However, the redundancy among modalities creates challenges for existing subtraction-based joint learning methods, such as misjudging the importance of modalities, ignoring specific modal information, and increasing cognitive load. These thorny issues ultimately decrease segmentation accuracy and increase the risk of overfitting. This paper presents the complementary information mutual learning (CIML) framework, which can mathematically model and address the negative impact of inter-modal redundant information. CIML adopts the idea of addition and removes inter-modal redundant information through inductive bias-driven task decomposition and message passing-based redundancy filtering. CIML first decomposes the multimodal segmentation task into multiple subtasks based on expert prior knowledge, minimizing the information dependence between modalities. Furthermore, CIML introduces a scheme in which each modality can extract information from other modalities additively through message passing. To achieve non-redundancy of extracted information, the redundant filtering is transformed into complementary information learning inspired by the variational information bottleneck. The complementary information learning procedure can be efficiently solved by variational inference and cross-modal spatial attention. Numerical results from the verification task and standard benchmarks indicate that CIML efficiently removes redundant information between modalities, outperforming SOTA methods regarding validation accuracy and segmentation effect. To emphasize, message-passing-based redundancy filtering allows neural network visualization techniques to visualize the knowledge relationship among different modalities, which reflects interpretability.

Huaier-induced suppression of cancer-associated fibroblasts confers immunotherapeutic sensitivity in triple-negative breast cancer.

BACKGROUND: Triple-negative breast cancer (TNBC) is the most intractable subgroup of breast neoplasms due to its aggressive nature. In recent years, immune checkpoint inhibitors (ICIs) have exhibited potential efficacy in TNBC treatment. However, only a limited fraction of patients benefit from ICI therapy, primarily because of the suppressive tumor immune microenvironment (TIME). Trametes robiniophila Murr (Huaier) is a traditional Chinese medicine (TCM) with potential immunoregulatory functions. However, the underlying mechanism remains unclear. PURPOSE: The present study aimed to investigate the therapeutic role of Huaier in the TIME of TNBC patients. METHODS: Single-cell RNA sequencing (scRNA-seq) was used to systematically analyze the influence of Huaier on the TNBC microenvironment for the first time. The mechanisms of the Huaier-induced suppression of cancer-associated fibroblasts (CAFs) were assessed via real-time quantitative polymerase chain reaction (qRT‒PCR) and western blotting. A tumor-bearing mouse model was established to verify the effects of the oral administration of Huaier on immune infiltration. RESULTS: Unsupervised clustering of the transcriptional profiles suggested an increase in the number of apoptotic cancer cells in the Huaier group. Treatment with Huaier induced immunological alterations from a "cold" to a "hot" state, which was accompanied by phenotypic changes in CAFs. Mechanistic analysis revealed that Huaier considerably attenuated the formation of myofibroblastic CAFs (myoCAFs) by impairing transforming growth factor-beta (TGF-ß)/SMAD signaling. In mouse xenograft models, Huaier dramatically modulated CAF differentiation, thus synergizing with the programmed cell death 1 (PD1) blockade to impede tumor progression. CONCLUSIONS: Our findings demonstrate that Huaier regulates cancer immunity in TNBC by suppressing the transition of CAFs to myoCAFs and emphasize the crucial role of Huaier as an effective adjuvant agent in immunotherapy.

Mutation of KAP, which encodes a keratin-associated protein, affects grain size and yield production in rice.

Grain size and shape are critical agronomic traits that directly impact rice grain yield. Identifying genes that control these traits can provide new strategies for yield improvement. In this study, we characterized a rice mutant, reduced grain length (rgl), which exhibited decreased grain length due to reduced cell proliferation. Map-based cloning identified a base deletion in OsRGL2, a gene encoding a keratin-associated protein (KAP), as the cause of the mutant phenotype. CRISPR-Cas9-generated OsRGL2 knockout mutants also displayed reduced grain length, confirming its role. OsRGL2 transcripts were detected in various tissues, with relative higher gene expression in young panicles, and OsRGL2 was localized to the plasma membrane. Overexpression of OsRGL2 increased grain size by promoting cell proliferation in the spikelet hull and significantly enhanced grain yield per plant. Importantly, OsRGL2 was found to interact with RGB1, indicating that OsRGL2 positively regulates grain size and yield through its interaction with RGB1. Additionally, OsRGL2 regulated the expression of cell cycle-related genes, further elucidating its role in grain development. These findings demonstrate that OsRGL2 is a positive regulator of grain size in rice, and manipulating its expression may offer a novel strategy for enhancing rice grain yield.

Advancing Heterogeneous Organic Synthesis With Coordination Chemistry-Empowered Single-Atom Catalysts.

For traditional metal complexes, intricate chemistry is required to acquire appropriate ligands for controlling the electron and steric hindrance of metal active centers. Comparatively, the preparation of single-atom catalysts is much easier with more straightforward and effective accesses for the arrangement and control of metal active centers. The presence of coordination atoms or neighboring functional atoms on the supports' surface ensures the stability of metal single-atoms and their interactions with individual metal atoms substantially regulate the performance of metal active centers. Therefore, the collaborative interaction between metal and the surrounding coordination environment enhances the initiation of reaction substrates and the formation and transformation of crucial intermediate compounds, which imparts single-atom catalysts with significant catalytic efficacy, rendering them a valuable framework for investigating the correlation between structure and activity, as well as the reaction mechanism of catalysts in organic reactions. Herein, comprehensive overviews of the coordination interaction for both homogeneous metal complexes and single-atom catalysts in organic reactions are provided. Additionally, reflective conjectures about the advancement of single-atom catalysts in organic synthesis are also proposed to present as a reference for later development.

Boosting peroxymonosulfate activation via Fe-Cu bimetallic hollow nanoreactor derived from copper smelting slag for efficient degradation of organics: The dual role of Cu.

Valorization of iron-rich metallurgical slags in the construction of Fenton-like catalysts has an appealing potential from the perspective of sustainable development. For the first time, copper smelting slag (CSS) was utilized as the precursor to synthesize hollow sea urchin-like Fe-Cu nanoreactors (Cu1.5Fe1Si) to activate peroxymonosulfate (PMS) for chlortetracycline hydrochloride (CTC) degradation. The hyper-channels and nano-sized cavities were formed in the catalysts owing to the induction and modification of Cu, not only promoting the in-situ growth of silicates and the formation of cavities due to the etching of SiO2 microspheres, but also resulting the generation of nanotubes through the distortion and rotation of the nanosheets. It was found that 100 % CTC degradation rate can be achieved within 10 min for Cu1.5Fe1Si, 75 times higher than that of Cu0Fe1Si (0.0024 up to 0.18 M-1‧min-1). The unique nanoconfined microenvironment structure could enrich reactants in the catalyst cavities, prolong the residence time of molecules, and increase the utilization efficiency of active species. Density functional theory (DFT) calculations show that Cu1.5Fe1Si has strong adsorption energy and excellent electron transport capacity for PMS, and Fe-Fe sites are mainly responsible for the activation of PMS, while Cu assists in accelerating the Fe(II)/Fe(Ⅲ) cycle and promotes the catalytic efficiency. The excellent mineralization rate (83.32 % within 10 min) and efficient treatment of CTC in consecutive trials corroborated the high activity and stability of the Cu1.5Fe1Si. This work provides a new idea for the rational design of solid waste-based eco-friendly functional materials, aiming at consolidating their practical application in advanced wastewater treatment.

Deciphering the structure-function-quality improvement role of starch gels by wheat bran insoluble dietary fibers obtained from different fermentation patterns and its potential mechanisms.

Insoluble dietary fiber (IDF) isolated through co-fermented bran from probiotics may improve starch gel-based foods. This work aimed to elucidate the comprehensive impact of different IDF samples (CK, unfermented; NF, natively fermented; YF, yeast fermented; LF, Lactobacillus plantarum fermented; and MF, mix-fermented) and their addition ratios (0.3-0.9%) on gel structure-property function. Results indicated that IDF introduction altered the starch pasting behavior (decreased the viscosity and advanced the pasting time). Also, YF, LF, and MF showed less effect on gel multiscale morphology (SEM and CLSM); however, their excessively high ratio resulted in network structure deterioration. Moreover, FT-IR, XRD, and Raman characterization identified the composite gels interaction mechanisms mainly by hydrogen bonding forces, van der Waals forces, water competition, and physical entanglement. This modulation improved the composite gel water distribution, rheological/stress-strain behavior, textural properties, color, stability, and digestive characteristics. The obtained findings may shed light on the construction and development of whole-grain gel-based food products with new perspectives.

Modeling QTL-by-environment interactions for multi-parent populations.

Multi-parent populations (MPPs) are attractive for genetic and breeding studies because they combine genetic diversity with an easy-to-control population structure. Most methods for mapping QTLs in MPPs focus on the detection of QTLs in single environments. Little attention has been given to mapping QTLs in multienvironment trials (METs) and to detecting and modeling QTL-by-environment interactions (QEIs). We present mixed model approaches for the detection and modeling of consistent versus environment-dependent QTLs, i.e., QTL-by-environment interaction (QEI). QTL effects are assumed to be normally distributed with variances expressing consistency or dependence on environments and families. The entries of the corresponding design matrices are functions of identity-by-descent (IBD) probabilities between parents and offspring and follow from the parental origin of offspring DNA. A polygenic effect is added to the models to account for background genetic variation. We illustrate the wide applicability of our method by analyzing several public MPP datasets with observations from METs. The examples include diallel, nested association mapping (NAM), and multi-parent advanced inter-cross (MAGIC) populations. The results of our approach compare favorably with those of previous studies that used tailored methods.

Exploring Variation in Ovine KRTAP19-5 and Its Effect on Fine Wool Fibre Curvature in Chinese Tan Sheep.

Sheep's wool is known to have unique biological, physical and chemical properties. The fibre primarily consists of proteins, but these have amino acid sequence variation, and at the phenotypic level wool fibre varies considerably. This can affect its utility and value. Unravelling the genetic factors that underpin the protein and phenotypic variability is crucial if we are to contemplate improving wool quality. Accordingly, this study investigates the high glycine and tyrosine content keratin-associated protein 19-5 gene (KRTAP19-5) in sheep. PCR-single strand confirmation polymorphism analysis, coupled with DNA sequencing of a region spanning whole coding sequence, revealed six sequence variants containing seven single nucleotide polymorphisms (SNPs). Five of the SNPs were located within the coding region, with four leading to amino acid changes if expressed. In 247 Chinese Tan sheep derived from 10 sire-lines, and renowned for their distinct 'spring-like' crimped wool at up to approximately 35 days after birth, one of the variants was found to be associated with decreased curvature of the fine wool fibres in the fleece. No associations were detected with other fibre traits or with variation in the heterotypic hair fibres of the Tan sheep. While these findings may be useful for developing gene markers to alter mean wool fibre curvature and improve sheep breeding, many other genes and environmental factors are known to contribute to variation in fibre traits.

Self-Anchored Van-Der-Waals Stacking Growth of Transition-Metal Dichalcogenide Nanoplates.

Transition-metal dichalcogenide (TMDs) nanoplates exhibit unique properties different from their monolayer counterparts. Controllable nucleation and growth are prerequisite and highly desirable for their practical applications. Here, a self-anchored van-der-Waals stacking growth method is developed, by which the substrate pit induced by precursor etching anchors the source material, impedes the lateral spreading of source droplets and facilitates the in situ stacking growth of high-quality TMD nanoplates with a thickness of tens to hundreds of nanometers at well-defined locations. As such, an array of TMD nanoplates with controlled lateral dimensions are produced and applied in arrayed photodetectors. This study solves the problem of controllable preparation of TMD nanoplates, holding promise for applications in electronics and optoelectronics.

Molecular "backbone surgery" of electron-deficient heteroarenes based on dithienopyrrolobenzothiadiazole: conformation-dependent crystal structures and charge transport properties.

Electron-deficient heteroarenes based on dithienopyrrolobenzothiadiazole (BTP) have been highly attractive due to their fascinating packing structures, broad absorption profiles, and promising applications in non-fullerene organic solar cells. However, the control of their crystal structures for superior charge transport still faces big challenges. Herein, a conformation engineering strategy is proposed to rationally manipulate the single crystal structure of BTP-series heteroarenes. The parent molecule BTPO-c has a 3D network crystal structure, which originates from its banana-shaped conformation. Subtracting one thiophene moiety from the central backbone leads to a looser brickwork crystal structure of the derivative BTPO-z because of its interrupted angular-shaped conformation. Further subtracting two thiophene moieties results in the derivative BTPO-l with a compact 2D-brickwork crystal structure due to its quasi-linear conformation with a unique dimer packing structure and short π-π stacking distance (3.30 Å). Further investigation of charge-transport properties via single-crystal organic transistors demonstrates that the compact 2D-brickwork crystal structure of BTPO-l leads to an excellent electron mobility of 3.5 cm2 V-1 s-1, much higher than that of BTPO-c with a 3D network (1.9 cm2 V-1 s-1) and BTPO-z with a looser brickwork structure (0.6 cm2 V-1 s-1). Notably, this study presents, for the first time, an elegant demonstration of the tunable single crystal structures of electron-deficient heteroarenes for efficient organic electronics.

Cervical Vertebra Bone Quality Score Predicts Zero-Profile Anchored Spacer Interbody Fusion Cage Subsidence after Anterior Cervical Diskectomy and Fusion: A Retrospective Study.

STUDY DESIGN: Retrospective study. OBJECTIVE: This retrospective study primary focus is to investigate the relationship between the C-VBQ score and the occurrence of postoperative zero-profile anchored spacer (ROI-C) interbody fusion cage subsidence. Additionally, we aim to evaluate the predictive efficacy of the C-VBQ scoring system for subsidence in the context of ACDF with the ROI-C. METHODS: Patients who underwent ACDF with the ROI-C cage at our hospital between January 2016 and December 2022 were included in this study. Univariate analysis and multivariate logistic regression were employed to identify independent risk factors associated with ROI-C cage subsidence after ACDF. Pearson correlation analysis was utilized to assess the correlation between the C-VBQ score and the height of ROI-C cage subsidence. RESULTS: A total of 102 patients underwent ACDF with ROI-C in our hospital were included in this study. Univariate analysis showed that age (P = 0.021) and C-VBQ score (P < 0.001) were the influencing factors of cage subsidence. Pearson correlation analysis showed that there was a significant positive correlation between the subsidence height of ROI-C cage and C-VBQ (r = 0.55, P < 0.01). Multivariate binary logistic regression analysis showed that C-VBQ score was the only variable that could significantly predict the subsidence of ROI-C cage after ACDF. Higher C-VBQ score was significantly associated with cage subsidence (P < 0.001).The AUC was 0.89, and the cutoff value for C-VBQ was 2.70. CONCLUSION: The findings indicate a significant correlation between a higher C-VBQ score before surgery and ROI-C cage subsidence after ACDF. The preoperative assessment of C-VBQ proves valuable for clinicians, enabling them to identify patients with low bone mineral density and predict the risk of zero-profile anchored spacer interbody fusion cage subsidence following ACDF.

The Effect of Maltose on Structural, Physicochemical, and Digestive Properties of Lentil Starch under Electron Beam Irradiation.

This study investigated the effects of electron beam irradiation (EBI) on the structural, physicochemical, and functional properties of lentil starch with varying maltose content. EBI did not significantly disrupt the starch's surface structure or cause amorphization of starch and maltose crystals, but it significantly reduced the intensity of starch's XRD peaks. The presence of maltose intensified internal growth ring damage, leading to more cross-link and rearrangement between short chains, improving short-range ordering of lentil starch and enhancing starch's solubility and thermal stability. Additionally, adding maltose that EBI then treats can lead to an increased content of slowly digestible starch in samples.