Complicated Spinal Stenosis and Spinal Deformity in Patients with Achondroplasia: Case Series and Review of the Literature.

OBJECTIVE: Due to the low incidence of achondroplasia (Ach), there is a relative lack of research on the treatment and management of spinal complications of Ach. Characteristics and interventions for spinal complications in patients with Ach are in urgent need of investigation. This study aimed to summarize the common spinal complications in patients with Ach and the corresponding treatment strategies. METHODS: This study is a retrospective case series. We retrospectively collected and analyzed Ach cases who presented to our hospital with neurological symptoms due to skeletal anomalies between February 2003 and October 2023. A total of seven patients were included, four males (57.1%) and three females (42.9%) with a mean age of 38.57 years. Patient pain/numbness visual analog scale (VAS), preoperative Oswestry disability index (ODI), development of neurological complaints, and presentation of skeletal abnormalities were collected and followed up routinely at 3, 6, 12 and 24 months postoperatively. The relevant literature was reviewed. RESULTS: Seven patients were included in this series. The mean preoperative VAS was 4, and the mean preoperative ODI was 50.98%. All patients had concomitant spinal stenosis, four with thoracolumbar kyphosis (TLK), and one with scoliosis. Six of the seven patients underwent surgery, and one patient received conservative treatment. In the routine follow-ups, all patients experienced satisfactory relief of symptoms. Only one of the seven patients developed a new rare lesion adjacent to the primary segments. Six months after the first surgery, a follow-up visit revealed thoracic spinal stenosis caused by ossification of the ligamentum flavum, and his symptoms were relieved after thoracic decompression surgery. CONCLUSIONS: Ach seriously affects the skeletal development of patients and can lead to the development of spinal stenosis, spinal deformities, and other complications of the locomotor system. Surgery remains the primary treatment for complications of the musculoskeletal system. Specific surgical approaches and comprehensive, long-term management are critical to the treatment of patients with spinal complications.

Role of Neurotropic Viruses in Brain Metastasis of Breast Cancer: Mechanisms and Therapeutic Implications.

Neurotropic viruses have been implicated in altering the central nervous system microenvironment and promoting brain metastasis of breast cancer through complex interactions involving viral entry mechanisms, modulation of the blood-brain barrier, immune evasion, and alteration of the tumour microenvironment. This narrative review explores the molecular mechanisms by which neurotropic viruses such as Herpes Simplex Virus, Human Immunodeficiency Virus, Japanese Encephalitis Virus, and Rabies Virus facilitate brain metastasis, focusing on their ability to disrupt blood-brain barrier integrity, modulate immune responses, and create a permissive environment for metastatic cell survival and growth within the central nervous system. Current therapeutic implications and challenges in targeting neurotropic viruses to prevent or treat brain metastasis are discussed, highlighting the need for innovative strategies and multidisciplinary approaches in virology, oncology, and immunology.

m6A-modified cenRNA stabilizes CENPA to ensure centromere integrity in cancer cells.

m6A modification is best known for its critical role in controlling multiple post-transcriptional processes of the mRNAs. Here, we discovered elevated levels of m6A modification on centromeric RNA (cenRNA) in cancerous cells compared with non-cancerous cells. We then identified CENPA, an H3 variant, as an m6A reader of cenRNA. CENPA is localized at centromeres and is essential in preserving centromere integrity and function during mitosis. The m6A-modified cenRNA stabilizes centromeric localization of CENPA in cancer cells during the S phase of the cell cycle. Mutations of CENPA at the Leu61 and the Arg63 or removal of cenRNA m6A modification lead to loss of centromere-bound CENPA during S phase. This in turn results in compromised centromere integrity and abnormal chromosome separation and hinders cancer cell proliferation and tumor growth. Our findings unveil an m6A reading mechanism by CENPA that epigenetically governs centromere integrity in cancer cells, providing potential targets for cancer therapy.

Broad-spectrum coronavirus neutralization induced by hetero RBD-Fc protein vaccine.

In the landscape of infectious diseases, human coronaviruses such as SARS-CoV, MERS-CoV, and SARS-CoV-2 pose significant threats, characterized by severe respiratory illnesses and notable resistance to conventional treatments due to their rapid evolution and the emergence of diverse variants, particularly within SARS-CoV-2. This study investigated the development of broad-spectrum coronavirus vaccines using heterodimeric RBD-Fc proteins engineered through the "Knob-into-Hole" technique. We constructed various recombinant proteins incorporating the receptor-binding domains (RBDs) of different coronaviruses. Heterodimers combining RBDs from SARS-CoV-2 with those of SARS-CoV or MERS-CoV elicited superior neutralizing responses compared to homodimeric proteins in murine models. Additionally, heterotetrameric proteins, specifically D614G_Delta/BA.1_XBB.1.5-RBD and MERS_D614G/BA.1_XBB.1.5-RBD, elicited remarkable breadth and potency in neutralizing all known SARS-CoV-2 variants, SARS-CoV, related sarbecoviruses like GD-Pangolin and WIV1, and even MERS-CoV pseudoviruses. Furthermore, these heterotetrameric proteins also demonstrated enhanced cellular immune responses. These findings underscore the potential of recombinant hetero proteins as a universal vaccine strategy against current and future coronavirus threats.

Breaking the Conversion-Selectivity Trade-Off in Methanol Synthesis from CO2 Using Dual Intimate Oxide/Metal Interfaces.

The selective hydrogenation of carbon dioxide (CO2) to value-added chemicals, e.g., methanol, using green hydrogen retrieved from renewable resources is a promising approach for CO2 emission reduction and carbon resource utilization. However, this process suffers from the competing side reaction of reverse water-gas shift (RWGS) and methanol decomposition, which often leads to a strong conversion-selectivity trade-off and thus a poor methanol yield. Here, we report that InOx coating of PdCu bimetallic nanoparticles (NPs) to construct intimate InOx/Cu and InOx/PdIn dual interfaces enables the break of conversion-selectivity trade-off by achieving ∼80% methanol selectivity at ∼20% CO2 conversion close to the thermodynamic limit, far superior to that of conventional metal catalysts with a single active metal/oxide interface. Comprehensive microscopic and spectroscopic characterization revealed that the InOx/PdIn interface favors the activation of CO2 to formate, while the adjacent InOx/Cu interface readily converts formate intermediates to methoxy species in tandem, which thus cooperatively boosts methanol production. These findings of dual-interface synergies via oxide coating of bimetallic NPs open a new avenue to the design of active and selective catalysts for advanced catalysis.

Clinical efficacy and safety of acupuncture combined with statin in dyslipidemia: A meta-analysis and system review.

BACKGROUND: This study aims to systematically evaluate the clinical efficacy and safety of acupuncture in combination with statin therapy compared to statin monotherapy for the treatment of dyslipidemia. METHODS: A comprehensive search for relevant randomized controlled trials assessing the clinical efficacy of acupuncture and statin combination in the treatment of dyslipidemia was conducted. Databases including PubMed, EMbase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, China Biology Medicine disc, Wanfang database, and China Science and Technology Journal Database were searched up to October 27, 2023. RESULTS: Sixteen Chinese-language studies involving a total of 1333 subjects were included for analysis. The meta-analysis revealed that the total effective rate of acupuncture combined with statin was significantly higher than that of statin alone (odds ratios = 3.32, 95% confidence intervals [CI] = 2.33 to 4.72). Furthermore, the combination of acupuncture with statin treatment resulted in a significant reduction in triglyceride levels (mean differences [MD] = -0.72 mmol/L, 95% CI = -1.05 to -0.4), total cholesterol levels (MD = -0.79 mmol/L, 95% CI = -1.07 to -0.51), low-density lipoprotein cholesterol levels (MD = -0.61 mmol/L, 95% CI = -0.95 to -0.27) and traditional Chinese medicine syndrome integral (MD = -1.32, 95% CI = -1.75 to -0.89), compared to statin treatment alone. Additionally, the high-density lipoprotein cholesterol level was higher in the combined acupuncture and statin treatment group than in the statin treatment alone group (MD = 0.44 mmol/L, 95% CI = 0.09 to 0.79). Notably, the rate of adverse reactions reported with combined acupuncture and statin treatment was lower than that with statin therapy alone. CONCLUSION: Our findings support the potential of acupuncture combined with statin as a viable clinical treatment option for dyslipidemia. However, it is important to note that current research on the mechanism of acupuncture for lipid-lowering has not yielded definitive results, and there are inherent biases in the conducted clinical studies.

Flexible and high-strength bioactive glass fiber membrane for bone regeneration with the aid of alkoxysilane sol spinnability.

In this research, the spinnability of bioactive glass (BG) precursor solution was supplied by alkoxysilane sol with appropriate molar ratio of H2O/silicon (R) to prepare bioactive glass fiber membrane (BFM) using electrospinning (ES) technique. Alkoxysilane could form a linear or chain-like colloidal aggregation in hydrolysis-polycondensation with R = 2 or so, thereby exhibiting good spinnability. Therefore, the role of polymer binders could be largely replaced. Due to the significant decrease of polymer binder, the defects within the fibers are largely reduced and degree of fiber densification was improved after calcination, leading to BFM drastically enhanced strength and flexibility. The effect of R and calcination temperature on mechanical performance were investigated in detail. The tensile strength could reach the highest value 2.31 MPa with R = 2 and calcination at 700 °C. In addition, under this preparation condition, the BFM also possessed good flexibility with bending rigidity 37.7 mN. Furthermore, the great performance of promoting cell proliferation and osteogenesis could be observed from in vitro cellular experiment. The BFM calcined at 750 °C exhibited the best promoting osteogenic differentiation ability. The rat skull defect model revealed BFM could perform well in osteogenesis in vivo.

Development and validation of a nomogram for predicting rapid relapse in triple-negative breast cancer patients treated with neoadjuvant chemotherapy.

Background: Triple-negative breast cancer (TNBC) accounts for disproportionately poor outcomes in breast cancer, driven by a subset of rapid-relapse TNBC (rrTNBC) with marked chemoresistance, rapid metastatic spread, and poor survival. This study aimed to develop and validate a nomogram based on clinicopathological characteristics to predict rapid relapse in TNBC patients treated with neoadjuvant chemotherapy (NAC) first. Methods: The clinicopathological data of 504 TNBC patients treated with NAC first in Tianjin Medical University Cancer Hospital were analyzed retrospectively, with 109 rapid relapsed patients, and 395 non-rapid relapsed patients, respectively. Based on clinicopathologic characteristics, and follow-up data were analyzed. The independent predictors of clinicopathological characteristics were identified by logistic regression analysis and then used to build a nomogram. The concordance index (C-index), the area under the curve (AUC) of receiver operating characteristic (ROC), and calibration plots were used to evaluate the performance of the model. Results: Univariate and multivariate logistic regression analyses showed that age at diagnosis (age≥50 years, OR = 0.325,95% CI:0.137-0.771), Nodal staging (N3 staging, OR = 13.669,95% CI:3.693-50.592),sTIL expression levels (sTIL intermediate expression, OR = 0.272,95% CI:0.109-0.678; sTIL high expression, OR = 0.169,95% CI:0.048-0.594), and NAC response (ORR, OR = 0.059,95% CI:0.024-0.143) were independent predictors of rapid relapse in TNBC patients treated with NAC firstly. Among these independent predictors, age ≥ 50 years, sTIL intermediate expression, sTIL high expression, and ORR in NAC were independent protective factors for rapid relapse in TNBC NAC patients. N3 staging was an independent risk factor for rapid relapse in TNBC NAC patients. The ROC curve, calibration curve, and decision curve analysis were used to validate the model. The C-Index of the training sets and validation sets were 0.938 and 0.910, respectively. The Brier scores of the training sets and validation sets were 0.076 and 0.097, respectively. Conclusion: This study developed and verified a nomogram for predicting rapid relapse in TNBC NAC patients, and the predictive model had high discrimination and accuracy.

Implementing Optogenetic-Controlled Bacterial Systems in Drosophila melanogaster for Alleviation of Heavy Metal Poisoning.

Drosophila melanogaster (fruit fly) is an animal model chassis in biological and genetic research owing to its short life cycle, ease of cultivation, and acceptability to genetic modification. While the D. melanogaster chassis offers valuable insights into drug efficacy, toxicity, and mechanisms, several obvious challenges such as dosage control and drug resistance still limit its utility in pharmacological studies. Our research combines optogenetic control with engineered gut bacteria to facilitate the precise delivery of therapeutic substances in D. melanogaster for biomedical research. We have shown that the engineered bacteria can be orally administered to D. melanogaster to get a stable density of approximately 28,000 CFUs/per fly, leading to no detectable negative effects on the growth of D. melanogaster. In a model of D. melanogaster exposure to heavy metal, these orally administered bacteria uniformly express target genes under green light control to produce MtnB protein for binding and detoxifying lead, which significantly reduces the level of oxidative stress in the intestinal tract of Pb-treated flies. This pioneering study lays the groundwork for using optogenetic-controlled bacteria in the model chassis D. melanogaster to advance biomedical applications.

Exploration of Unconventional excitation wavelength and dynamic emission in rare-earth doped multilayer core-shell Structures: Application for optical "Hard" and "Soft" switching.

Optical switches are increasingly acknowledged for their potential advantages over mechanical counterparts in various domains. However, research on optical switches remains relatively nascent, primarily focusing on applications like anti-counterfeiting, switching chemical reactions, etc., while neglecting the control of photocurrent switching. Here, we have developed NaYF4:30 %Er-NaYF4-NaYF4:20 %Ho-NaYF4 core-shell nanocrystals with unique upconversion (UC) multi-color emission properties under 1530 nm, 980 nm and 1150 nm laser excitations. These nanocrystals allow for optical control of circuit switching by modulating photocurrent signals in photosensitive circuits. The UC emission is due to the self-sensitization of rare earth ions in the core and shell. By adjusting the intermediate shell thickness, we have optimized the luminescence and investigated the mechanism. Combining these nanocrystals with a WO3 quantum dots (QDs) photochromic hydrogel, dynamic variation of UC emissions could be realized. Moreover, by combining with a commercial silicon photodetector, we constructed a photosensitive circuit demonstrating the modulation of photocurrent signal output and realized the "hard switching" of rapid circuit cutoff. Furthermore, by using the photochromic effect of WO3 QDs, the "soft switching" of slow circuit cutoff and recovery were also achieved. This work has significant implications for the development and application such as energy management system and smart home of optical switches in various fields.

Optimizing trigeneration energy systems: Biogas-centric methanol production via direct CO2 hydrogenation with advanced integration of PEM electrolyzer and LNG cold technology.

Biogas, a sustainable alternative to fossil fuels, addresses issues of non-renewability and accessibility. Its structural similarity to fossil fuels makes it a potent option for energy systems. With this in mind, this paper discusses a novel trigeneration system that utilizes biogas and Liquefied natural gas cooling to produce methanol, electricity, cold water, hot water, oxygen, and natural gas. The system integrates various components such as a biogas burner, Kalina cycle, organic Rankine cycle, liquefied natural gas liquid gasification cycle, proton exchange membrane electrolyzer, and methanol synthesis unit. Simulation via Aspen HYSYS software includes an analysis of energy, exergy, economic, and environmental aspects. Efficiency assessment in single generation, cogeneration, trigeneration, and chemical trigeneration modes concludes chemical trigeneration as most efficient, with the proton exchange membrane electrolyzer being the most efficient subsystem. Key variables like Kalina cycle evaporator temperature, gas flow rate to the methanol reactor, and organic Rankine cycle working fluid pressure are assessed. Predictions on thermodynamic, environmental, and economic behaviors, along with their fluctuations, are made. Using a thermoeconomic approach, the economic analysis determines an exergy unit cost of 59.79 $/GJ and a total cost rate of 2764 $/h. Overall, this work presents a novel and efficient chemical trigeneration system that utilizes biogas and LNG cooling to produce multiple products.

DRPChain: A new blockchain-based trusted DRM scheme for image content protection.

The unauthorized replication and distribution of digital images pose significant challenges to copyright protection. While existing solutions incorporate blockchain-based techniques such as perceptual hashing and digital watermarking, they lack large-scale experimental validation and a dedicated blockchain consensus protocol for image copyright management. This paper introduces DRPChain, a novel digital image copyright management system that addresses these issues. DRPChain employs an efficient cropping-resistant robust image hashing algorithm to defend against 14 common image attacks, demonstrating an 85% success rate in watermark extraction, 10% higher than the original scheme. Moreover, the paper designs the K-Raft consensus algorithm tailored for image copyright protection. Comparative experiments with Raft and benchmarking against PoW and PBFT algorithms show that K-Raft reduces block error rates by 2%, improves efficiency by 300ms compared to Raft, and exhibits superior efficiency,decentralization, and throughput compared to PoW and PBFT. These advantages make K-Raft more suitable for digital image copyright protection. This research contributes valuable insights into using blockchain technology for digital copyright protection, providing a solid foundation for future exploration.

Multi-Omics Integration Analysis Pinpoint Proteins Influencing Brain Structure and Function: Toward Drug Targets and Neuroimaging Biomarkers for Neuropsychiatric Disorders.

Integrating protein quantitative trait loci (pQTL) data and summary statistics from genome-wide association studies (GWAS) of brain image-derived phenotypes (IDPs) can benefit in identifying IDP-related proteins. Here, we developed a systematic omics-integration analytic framework by sequentially using proteome-wide association study (PWAS), Mendelian randomization (MR), and colocalization (COLOC) analyses to identify the potentially causal brain and plasma proteins for IDPs, followed by pleiotropy analysis, mediation analysis, and drug exploration analysis to investigate potential mediation pathways of pleiotropic proteins to neuropsychiatric disorders (NDs) as well as candidate drug targets. A total of 201 plasma proteins and 398 brain proteins were significantly associated with IDPs from PWAS analysis. Subsequent MR and COLOC analyses further identified 313 potentially causal IDP-related proteins, which were significantly enriched in neural-related phenotypes, among which 91 were further identified as pleiotropic proteins associated with both IDPs and NDs, including EGFR, TMEM106B, GPT, and HLA-B. Drug prioritization analysis showed that 6.33% of unique pleiotropic proteins had drug targets or interactions with medications for NDs. Nine potential mediation pathways were identified to illustrate the mediating roles of the IDPs in the causal effect of the pleiotropic proteins on NDs, including the indirect effect of TMEM106B on Alzheimer's disease (AD) risk via radial diffusivity (RD) of the posterior limb of the internal capsule (PLIC), with the mediation proportion being 11.18%, and the indirect effect of EGFR on AD through RD of PLIC, RD of splenium of corpus callosum (SCC), and fractional anisotropy (FA) of SCC, with the mediation proportion being 18.99%, 22.79%, and 19.91%, respectively. These findings provide novel insights into pathogenesis, drug targets, and neuroimaging biomarkers of NDs.

Polarization of Macrophages in Tumor Microenvironment Using High-Throughput Single-Cell Metabolomics.

Macrophages consist of a heterogeneous population of functionally distinct cells that participate in many physiological and pathological processes. They exhibit prominent plasticity by changing their different functional phenotypes represented by proinflammatory (M1) and anti-inflammatory (M2) in response to different environmental stimuli. Emerging evidence illustrates the importance of intracellular metabolic pathways in macrophage polarizations and functions. In the tumor microenvironment (TME), macrophages tend to M2 polarization, which promotes tumor growth and leads to adverse physiological effects. Due to the lack of highly specific antigens in M1 and M2 macrophages, significant challenges present in isolating these subtypes from clinical samples or in vitro coculture models of tumor-immune cells. In reverse, the single-cell technique provides the possibility to investigate the factors influencing macrophage polarization in the TME. In this research, we employed inertial microfluidic chip-mass spectrometry (IMC-MS) to conduct single-cell metabolomics analysis of macrophages polarized into the two major phenotypes, respectively, and 213 metabolites were identified in total. Subsequently, differential metabolites between macrophage phenotypes were analyzed using volcano plots and binary logistic regression models. Glutamine was pinpointed as a key metabolite for the M1 and M2 phenotypes. Experimental results from both monoculture and coculture cell models demonstrated that M1 polarization is more reliant on the presence of glutamine in the culture environment than M2 polarization. Glutamine deficiency resulted in failed M1 polarization, while its absence had a less pronounced effect on M2 polarization. Replenishing an appropriate amount of glutamine during the intermediate stages of coculture models significantly enhanced the proportion of M1 polarization and suppressed the growth of tumor cells. This research elucidated glutamine as a key factor influencing macrophage polarization in the TME via single-cell metabolomics based on IMC-MS, offering promising insights and targets for tumor therapies.

Loss of USP10 promotes hepatocellular carcinoma proliferation by regulating the serine synthesis pathway through inhibition of LKB1 activity.

Metabolic dysregulation is emerging as a critical factor in tumorigenesis, and reprogramming of serine metabolism has been identified as an essential factor in the progression of hepatocellular carcinoma (HCC). Studies have shown that LKB1 deficiency can activate mTOR to upregulate the serine synthesis pathway (SSP) and promote tumor progression. Our team discovered that ubiquitin-specific protease 10 (USP10) can inhibit HCC proliferation through mTOR, but its relationship with SSP needs further investigation. The metabolite assays revealed a significant increase in serine content in HCC tissues. Through the LKB1/mTOR/activating transcription factor 4 (ATF4) axis, loss of USP10 may increase serine biosynthesis and promote the proliferation of HCC in vitro and in vivo. Furthermore, it was found that USP10 could activate LKB1 through deubiquitination. Analyzing clinical HCC tissues revealed a positive correlation between USP10 and LKB1. Additionally, those with high expression of USP10 in HCC tissues showed a better degree of tumor differentiation and longer overall survival time. Moreover, we found increased expression of both serine and its synthase in liver tumor tissues of USP10 liver-specific KO mice. Loss of USP10 inhibits the activity of LKB1, contributing to the stimulation of the mTOR/ATF4 axis and SSP and then promoting the proliferation of HCC. This work presents a novel approach for serine-targeted treatment in HCC.

A "flexible" compulsory dental basic research course for undergraduate students: a three-year retrospective study.

INTRODUCTION: Since 2015, the Guanghua School of Stomatology has established an elective dental basic research course (EDBRC). To make all students benefit from the dental basic research course without causing excessive academic burden, the "flexible" compulsory dental basic research course (CDBRC) was settled in 2020. This study intends to introduce the "flexible" compulsory teaching module and assessment system of CDBRC, and analyze its effectiveness over 3 years. MATERIALS AND METHODS: The grade point average (GPA), course pressure, level of basic research knowledge and skills, and students' research achievements were collected and analyzed between EDBRC and CDBRC. The unpaired t test was used to analyze the difference. RESULTS: The "flexible" CDBRC has been successfully constructed with compulsory teaching module and hierarchical assessment system. The CDBRC has not caused significant course pressure to students compared with the EDBRC. Besides, the "flexible" CDBRC can improve the students' GPA, basic research knowledge, and research achievements. CONCLUSIONS: The "flexible" CDBRC can improve students' academic performance and basic research abilities without causing significant course pressure, which can be conducted in dental schools with similar backgrounds. TRIAL REGISTRATION: Not applicable.

Correlation between osteoporosis and endplate damage in degenerative disc disease patients: a study based on phantom-less quantitative computed tomography and total endplate scores.

BACKGROUND: Osteoporosis and degenerative disc disease (DDD) are prevalent in the elderly population. Damage to the vertebral endplate, which impairs nutrient supply to the disc, serves as both a significant initiator and a hallmark of DDD. This study was aimed to explore the association between osteoporosis and endplate damage. METHODS: This retrospective study included 205 patients with DDD who were treated at tianjin hospital from January 2019 to May 2023. We collected data on age, sex, body mass index (BMI), phantom-less quantitative computed tomography (PL-QCT) values, and total endplate scores (TEPS). The average PL-QCT value of L1-L4 and TEPS were used to represent volumetric bone mineral density (v-BMD) and the degree of endplate damage, respectively. Based on the average PL-QCT value of L1 and L2, patients were divided into three groups: normal group (BMD > 120 mg/cm3), osteopenic group (80 mg/cm3 ≤ BMD ≤ 120 mg/cm3), and osteoporosis group (BMD < 80 mg/cm3). Multiple linear regression models were used to identify independent factors associated with endplate damage. RESULTS: The overall TEPS (4.3±1.3 vs 5.0±1.0 vs 5.9±1.5, p<0.01) and segment (L1/2-L4/5) TEPS (p<0.05) in each group showed significant difference (R=-0.5), increasing in order from normal group to osteoporosis group. A significant negative correlation was found between TEPS and PL-QCT values in overall and each segments (p<0.001). The PL-QCT values and age (p<0.05) were independent factors influencing endplate damage. There were significant differences in the average number of TEPS ≥7 segments per patient among the three groups, with 1.16, 0.41, and 0.2 segments/person from osteoporosis group to normal group. CONCLUSIONS: Our study showed a significant positive correlation between osteoporosis and endplate damage. Attention is warranted for patients with osteopenia to prevent progression to osteoporosis, potentially leading to exacerbated DDD. The management of patients with both DDD and osteoporosis necessitates comprehensive treatment strategies that address both the BMD and endplate aspects of these conditions.

Enhancing electrochemical carbon dioxide capture with supercapacitors.

Supercapacitors are emerging as energy-efficient and robust devices for electrochemical CO2 capture. However, the impacts of electrode structure and charging protocols on CO2 capture performance remain unclear. Therefore, this study develops structure-property-performance correlations for supercapacitor electrodes at different charging conditions. We find that electrodes with large surface areas and low oxygen functionalization generally perform best, while a combination of micro- and mesopores is important to achieve fast CO2 capture rates. With these structural features and tunable charging protocols, YP80F activated carbon electrodes show the best CO2 capture performance with a capture rate of 350 mmolCO2 kg-1 h-1 and a low electrical energy consumption of 18 kJ molCO2-1 at 300 mA g-1 under CO2, together with a long lifetime over 12000 cycles at 150 mA g-1 under CO2 and excellent CO2 selectivity over N2 and O2. Operated in a "positive charging mode", the system achieves excellent electrochemical reversibility with Coulombic efficiencies over 99.8% in the presence of approximately 15% O2, alongside stable cycling performance over 1000 cycles. This study paves the way for improved supercapacitor electrodes and charging protocols for electrochemical CO2 capture.

Community structure of soil microorganisms and endophytes of honeysuckle at different ecological niche specificities.

BACKGROUND: The plant microbiome is one of the key determinants of healthy plant growth. However, the complexity of microbial diversity in plant microenvironments in different regions, especially the relationship between subsurface and aboveground microorganisms, is not fully understood. The present study investigated the diversity of soil microorganisms in different regions and the diversity of microorganisms within different ecological niches, and compared soil microorganisms and endophytic microorganisms. METHODS: 16 S and ITS sequencing was used to sequence the soil and endophytes microbiome of honeysuckle. Alpha diversity analysis and principal component analysis (PCoA) were used to study the soil and endophyte microbial communities, and the function of endophyte bacteria and fungi was predicted based on the PICRUST2 process and FUNGuild. RESULTS: In total, there were 382 common bacterial genera and 139 common fungal genera in the soil of different producing areas of honeysuckle. There were 398 common bacterial genera and 157 common fungal genera in rhizosphere soil. More beneficial bacteria were enriched in rhizosphere soil. Endophytic bacteria were classified into 34 phyla and 770 genera. Endophytic fungi were classified into 11 phyla and 581 genera, among which there were significant differences in the dominant genera of roots, stems, leaves, and flowers, as well as in community diversity and richness. Endophytic fungal functions were mainly dominated by genes related to saprophytes, functional genes that could fight microorganisms were also found in KEGG secondary functional genes. CONCLUSION: More beneficial bacteria were enriched in rhizosphere soil of honeysuckle, and the microbial network of the rhizosphere is more complex than that of the soil. Among the tissues of honeysuckle, the flowers have the richest diversity of endophytes. The endogenous dominant core bacteria in each part of honeysuckle plant have a high degree of overlap with the dominant bacteria in soil. Functional prediction suggested that some dominant core bacteria have antibacterial effects, providing a reference for further exploring the strains with antibacterial function of honeysuckle. Understanding the interaction between honeysuckle and microorganisms lays a foundation for the study of growth promotion, quality improvement, and disease and pests control of honeysuckle from the perspective of microorganisms.