Quantitative analysis of paravertebral muscle asymmetry and its correlation with spinal deformity in patients with degenerative lumbar scoliosis: a retrospective case-control study.

Background: The degeneration and functional decline of paravertebral muscles (PVMs) are reported to be closely linked to the incidence of degenerative lumbar scoliosis (DLS), a spinal deformity of the mature skeleton. However, the functional role and degeneration of PVMs and their relationship to the development of spinal deformities remain controversial. Therefore, the present study analyzed the morphological changes in the PVMs of patients with DLS, and explored the relationship between PVM degeneration and spinal osseous parameters. Methods: In this retrospective case-control study, we evaluated the PVM parameters of patients with DLS (n=120) and compared them with patients free of DLS (control group, n=120). The cross-sectional area (CSA) and computed tomography (CT) values of the PVM at the lumbar vertebra 1-5 levels were measured. Further, the lumbar scoliosis Cobb, lumbar lordotic, and apical vertebral rotation angles were measured on CT and radiographs in the DLS group, and the relationship between PVM changes and these factors was analyzed. Results: In the control group, the PVM CSA and CT values differed insignificantly between the bilateral sides at all levels (P>0.05). In the DLS group, the CSAs of the multifidus (MF) and erector spinae (ES) were larger on the convex side than the concave side (P>0.05), whereas that of the psoas major (PM) was smaller on the convex side than the concave side (P<0.05). The CT value of the PVM was lower on the convex side at all levels (P<0.05). The CSA and CT values on both sides of the patients were lower in the DLS group than the control group at all levels (P<0.05). Further, the degree of PVM asymmetry at the apical vertebral level was positively correlated with the lumbar scoliosis (P<0.01) and apical vertebral rotation angles (P<0.05), but negatively correlated with the lumbar lordotic angle (P<0.05). Conclusions: Asymmetric degeneration of the PVM was observed bilaterally in DLS patients, and the degeneration was more pronounced on the concave side than the convex side. This asymmetrical degeneration was closely associated with the severity of lumbar scoliosis, vertebral rotation, and loss of lumbar lordosis, and a stronger correlation was observed with the MF and ES than with the PM.

Polyvinylpyrrolidone Assisted One-Pot Synthesis of Size-Tunable Cocktail Nanodrug for Multifunctional Combat of Cancer.

Background: The in vivo barriers and multidrug resistance (MDR) are well recognized as great challenges for the fulfillment of antitumor effects of current drugs, which calls for the development of novel therapeutic agents and innovative drug delivery strategies. Nanodrug (ND) combining multiple drugs with distinct modes of action holes the potential to circumvent these challenges, while the introduction of photothermal therapy (PTT) can give further significantly enhanced efficacy in cancer therapy. However, facile preparation of ND which contains dual drugs and photothermal capability with effective cancer treatment ability has rarely been reported. Methods: In this study, we selected curcumin (Cur) and doxorubicin (Dox) as two model drugs for the creation of a cocktail ND (Cur-Dox ND). We utilized polyvinylpyrrolidone (PVP) as a stabilizer and regulator to prepare Cur-Dox ND in a straightforward one-pot method. Results: The size of the resulting Cur-Dox ND can be easily adjusted by tuning the charged ratios. It was noted that both loaded drugs in Cur-Dox ND can realize their functions in the same target cell. Especially, the P-glycoprotein inhibition effect of Cur can synergistically cooperate with Dox, leading to enhanced inhibition of 4T1 cancer cells. Furthermore, Cur-Dox ND exhibited pH-responsive dissociation of loaded drugs and a robust photothermal translation capacity to realize multifunctional combat of cancer for photothermal enhanced anticancer performance. We further demonstrated that this effect can also be realized in 3D multicellular model, which possibly attributed to its superior drug penetration as well as photothermal-enhanced cellular uptake and drug release. Conclusion: In summary, Cur-Dox ND might be a promising ND for better cancer therapy.

Advances in Composite Biofilm Biomimetic Nanodrug Delivery Systems for Cancer Treatment.

Single biofilm biomimetic nanodrug delivery systems based on single cell membranes, such as erythrocytes and cancer cells, have immune evasion ability, good biocompatibility, prolonged blood circulation, and high tumor targeting. Because of the different characteristics and functions of each single cell membrane, more researchers are using various hybrid cell membranes according to their specific needs. This review focuses on several different types of biomimetic nanodrug-delivery systems based on composite biofilms and looks forward to the challenges and possible development directions of biomimetic nanodrug-delivery systems based on composite biofilms to provide reference and ideas for future research.

Visualized electrochemiluminescence detection of trace copper in practical food samples.

Copper as a widely applied element in food supply chain can cause serious contamination issues that threats food safety. In this research, we present a quick and visible method for trace copper ion (Cu2+) quantification in practical food samples. Polymer dots (Pdots) were firstly conjugated with a copper-specific DNA aptamer and then tailored with rhodamine B (RhB) to extinguish the electrochemiluminescence (ECL) signal through a resonance energy transfer process. The selective release of RhB leads to signal restoration when exposed to trace Cu2+ levels, achieving remarkable linearity with the logarithm of Cu2+ concentration within the range of 1 ng/L to 10 µg/L with an impressively low limit of detection at 11.8 pg/L. Most notably, our device was also applicable on visualizing and quantifying trace Cu2+ (∼0.2 µg/g) in practical Glycyrrhiza uralensis Fisch. samples, underscoring its potential as a tool for the early prevention of potential copper contamination in food samples.

Synthesis of Metal-Nitrogen-Carbon Electrocatalysts with Atomically Regulated Nitrogen-Doped Polycyclic Aromatic Hydrocarbons.

Tuning the active site structure of metal-nitrogen-carbon electrocatalysts has recently attracted increasing interest. Herein, we report a bottom-up synthesis strategy in which atomically regulated N-doped polycyclic aromatic hydrocarbons (N-PAHs) of NxC42-x (x = 1, 2, 3, 4) were used as ligands to allow tuning of the active site's structures of M-Nx and establish correlations between the structures and electrocatalytic properties. Based on the synthesis process, detailed characterization, and DFT calculation results, active structures of Nx-Fe1-Nx in Fe1-Nx/RGO catalysts were constructed. The results demonstrated that the extra uncoordinated N atoms around the Fe1-N4 moieties disrupted the π-conjugated NxC42-x ligands, which led to more localized electronic state in the Fe1-N4 moieties and superior catalytic performance. Especially, the Fe1-N4/RGO exhibited optimized performance for ORR with E1/2 increasing by 80 mV and Jk at 0.85 V improved 18 times (compared with Fe1-N1/RGO). This synthesis strategy utilizing N-PAHs holds significant promise for enhancing the controllability of metal-nitrogen-carbon electrocatalyst preparation.

Cost-effectiveness uncertainty may bias the decision of coal power transitions in China.

A transition away from coal power always maintains a high level of complexity as there are several overlapping considerations such as technical feasibility, economic costs, and environmental and health impacts. Here, we explore the cost-effectiveness uncertainty brought by policy implementation disturbances of different coal power phaseout and new-built strategies (i.e., the disruption of phaseout priority) in China based on a developed unit-level uncertainty assessment framework. We reveal the opportunity and risk of coal transition decisions by employing preference analysis. We find that, the uncertainty of a policy implementation might lead to potential delays in yielding the initial positive annual net benefits. For example, a delay of six years might occur when implementing the prior phaseout practice. A certain level of risk remains in the implementation of the phaseout policy, as not all strategies can guarantee the cumulative positive net benefits from 2018-2060. Since the unit-level heterogeneities shape diverse orientation of the phaseout, the decision-making preferences would remarkably alter the selection of a coal power transition strategy. More strikingly, the cost-effectiveness uncertainty might lead to missed opportunities in identifying an optimal strategy. Our results highlight the importance of minimizing the policy implementation disturbance, which helps mitigate the risk of negative benefits and strengthen the practicality of phaseout decisions.

Nanofabrications of Erythrocyte Membrane-Coated Telmisartan Delivery System Effective for Radiosensitivity of Tumor Cells in Mice Model.

Background: Radiation stimulates the secretion of tumor stroma and induces resistance, recurrence, and metastasis of stromal-vascular tumors during radiotherapy. The proliferation and activation of tumor-associated fibroblasts (TAFs) are important reasons for the production of tumor stroma. Telmisartan (Tel) can inhibit the proliferation and activation of TAFs (resting TAFs), which may promote radiosensitization. However, Tel has a poor water solubility. Methods: In this study, self-assembled telmisartan nanoparticles (Tel NPs) were prepared by aqueous solvent diffusion method to solve the insoluble problem of Tel and achieve high drug loading of Tel. Then, erythrocyte membrane (ECM) obtained by hypotonic lysis was coated on the surface of Tel NPs (ECM/Tel) for the achievement of in vivo long circulation and tumor targeting. Immunofluorescence staining, western blot and other biological techniques were used to investigate the effect of ECM/Tel on TAFs activation inhibition (resting effect) and mechanisms involved. The multicellular spheroids (MCSs) model and mouse breast cancer cells (4T1) were constructed to investigate the effect of ECM/Tel on reducing stroma secretion, alleviating hypoxia, and the corresponding promoting radiosensitization effect in vitro. A mouse orthotopic 4T1 breast cancer model was constructed to investigate the radiosensitizing effect of ECM/Tel on inhibiting breast cancer growth and lung metastasis of breast cancer. Results: ECM/Tel showed good physiological stability and tumor-targeting ability. ECM/Tel could rest TAFs and reduce stroma secretion, alleviate hypoxia, and enhance penetration in tumor microenvironment. In addition, ECM/Tel arrested the cell cycle of 4T1 cells to the radiosensitive G2/M phase. In mouse orthotopic 4T1 breast cancer model, ECM/Tel played a superior role in radiosensitization and significantly inhibited lung metastasis of breast cancer. Conclusion: ECM/Tel showed synergistical radiosensitization effect on both the tumor microenvironment and tumor cells, which is a promising radiosensitizer in the radiotherapy of stroma-vascular tumors.

Machine learning for differentiating between pancreatobiliary-type and intestinal-type periampullary carcinomas based on CT imaging and clinical findings.

PURPOSE: To develop a diagnostic model for distinguishing pancreatobiliary-type and intestinal-type periampullary adenocarcinomas using preoperative contrast-enhanced computed tomography (CT) findings combined with clinical characteristics. METHODS: This retrospective study included 140 patients with periampullary adenocarcinoma who underwent preoperative enhanced CT, including pancreaticobiliary (N = 100) and intestinal (N = 40) types. They were randomly assigned to the training or internal validation set in an 8:2 ratio. Additionally, an independent external cohort of 28 patients was enrolled. Various CT features of the periampullary region were evaluated and data from clinical and laboratory tests were collected. Five machine learning classifiers were developed to identify the histologic type of periampullary adenocarcinoma, including logistic regression, random forest, multi-layer perceptron, light gradient boosting, and eXtreme gradient boosting (XGBoost). RESULTS: All machine learning classifiers except multi-layer perceptron used achieved good performance in distinguishing pancreatobiliary-type and intestinal-type adenocarcinomas, with the area under the curve (AUC) ranging from 0.75 to 0.98. The AUC values of the XGBoost classifier in the training set, internal validation set and external validation set are 0.98, 0.89 and 0.84 respectively. The enhancement degree of tumor, the growth pattern of tumor, and carbohydrate antigen 19-9 were the most important factors in the model. CONCLUSION: Machine learning models combining CT with clinical features can serve as a noninvasive tool to differentiate the histological subtypes of periampullary adenocarcinoma, in particular using the XGBoost classifier.

Multiomics analyses of the effects of LED white light on the ripening of apricot fruits.

INTRODUCTION: Apricot (Prunus armeniaca L.) fruits are highly perishable and prone to quality deterioration during storage and transportation. OBJECTIVES: To investigate the effects of LED white light treatment on postharvest ripening of fruits using metabolomics, transcriptomics, and ATAC-Seq analysis. METHODS: Fruits were exposed to 5 µmol m-2 s-1 LED white light for 12 h followed by 12 h of darkness at 20 °C daily for 12 days. The effects of the treatments on the physiological and nutritional quality of the fruits were evaluated. These data were combined with transcriptomic, metabolomic, and ATAC-Seq data from fruits taken on 8 d of treatment to provide insight into the potential mechanism by which LED treatment delays ripening. RESULTS: LED treatment activated pathways involved in ascorbate and aldarate metabolism and flavonoid and phenylpropanoid biosynthesis. Specifically, LED treatment increased the expression of UDP-sugar pyrophosphorylase (USP), L-ascorbate peroxidase (AO), dihydroflavonol 4-reductase (DFR), chalcone synthase (CHS), and caffeoyl-CoA O-methyltransferase (CCOAOMT1), leading to the accumulation of caffeoyl quinic acid, epigallocatechin, and dihydroquercetin and the activation of anthocyanin biosynthesis. LED treatment also affected the expression of genes associated with plant hormone signal transduction, fruit texture and color transformation, and antioxidant activity. The notable genes affected by LED treatment included 1-aminocyclopropane-1-carboxylate synthase (ACS), 1-aminocyclopropane-1-carboxylate oxidase (ACO), hexokinase (HK), lipoxygenase (LOX), malate dehydrogenase (MDH), endoglucanase (CEL), various transcription factors (TCP, MYB, EFR), and peroxidase (POD). ATAC-Seq analysis further revealed that LED treatment primarily regulated phenylpropanoid biosynthesis. CONCLUSION: The results obtained in this study provide insights into the effects of LED light exposure on apricot fruits ripening. LEDs offer a promising approach for extending the shelf life of other fruits and vegetables.

Trends and hotspots in research on medical images with deep learning: a bibliometric analysis from 2013 to 2023.

Background: With the rapid development of the internet, the improvement of computer capabilities, and the continuous advancement of algorithms, deep learning has developed rapidly in recent years and has been widely applied in many fields. Previous studies have shown that deep learning has an excellent performance in image processing, and deep learning-based medical image processing may help solve the difficulties faced by traditional medical image processing. This technology has attracted the attention of many scholars in the fields of computer science and medicine. This study mainly summarizes the knowledge structure of deep learning-based medical image processing research through bibliometric analysis and explores the research hotspots and possible development trends in this field. Methods: Retrieve the Web of Science Core Collection database using the search terms "deep learning," "medical image processing," and their synonyms. Use CiteSpace for visual analysis of authors, institutions, countries, keywords, co-cited references, co-cited authors, and co-cited journals. Results: The analysis was conducted on 562 highly cited papers retrieved from the database. The trend chart of the annual publication volume shows an upward trend. Pheng-Ann Heng, Hao Chen, and Klaus Hermann Maier-Hein are among the active authors in this field. Chinese Academy of Sciences has the highest number of publications, while the institution with the highest centrality is Stanford University. The United States has the highest number of publications, followed by China. The most frequent keyword is "Deep Learning," and the highest centrality keyword is "Algorithm." The most cited author is Kaiming He, and the author with the highest centrality is Yoshua Bengio. Conclusion: The application of deep learning in medical image processing is becoming increasingly common, and there are many active authors, institutions, and countries in this field. Current research in medical image processing mainly focuses on deep learning, convolutional neural networks, classification, diagnosis, segmentation, image, algorithm, and artificial intelligence. The research focus and trends are gradually shifting toward more complex and systematic directions, and deep learning technology will continue to play an important role.

Risk factors for neck pain in college students: a systematic review and meta-analysis.

BACKGROUND: During the COVID-19 epidemic, the prevalence of neck pain among college students has increased due to the shift from offline to online learning and increasing academic and employment pressures. Therefore, this systematic review aimed to identify the personal, occupational, and psychological factors associated with the development of neck pain to promote the development of preventive strategies and early intervention treatment. METHODS: Seven electronic databases were searched from inception to December 2022 for cross-sectional studies, cohort studies, case----control studies, and randomized controlled trials (RCTs) on neck pain. The quality of the selected studies were assessed by American Agency for Healthcare Research and Quality (AHRQ) or the Newcastle-Ottawa Scale (NOS). Pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were calculated to evaluate the effects of the included risk factors on neck pain. RESULTS: Thirty studies were included, including 18,395 participants. And a total of 33 potentially associated risk factors were identified. Ultimately, 11 risk factors were included in the meta-analysis after assessing, and all results were statistically significant (P < 0.05). The factors supported by strong evidence mainly include the improper use of the pillow (OR = 2.20, 95% CI: 1.39 to 3.48), lack of exercise (OR = 1.88, 95% CI: 1.53 to 2.30), improper sitting posture (OR = 1.97, 95% CI: 1.39 to 2.78), history of neck and shoulder trauma (OR = 2.32, 95% CI: 1.79 to 3.01), senior grade (OR = 2.86, 95% CI: 2.07 to 3.95), staying up late (OR = 1.80, 95% CI: 1.35 to 2.41), long-time electronic product usage daily (OR = 1.53, 95% CI: 1.33 to 1.76), long-time to bow head (OR = 2.04, 95% CI: 1.58 to 2.64), and emotional problems (OR = 2.09; 95% CI: 1.66  to 2.63). Risk factors supported by moderate evidence were high stress (OR = 1.61, 95% CI: 1.02 to 2.52) and female gender (OR = 1.69, 95% CI: 1.52 to 1.87). CONCLUSION: This study obtained 11 main risk factors affecting college students neck pain, including improper use of the pillow, lack of exercise, improper sitting posture, history of neck and shoulder trauma, senior grade, staying up late, long-term electronic product usage daily, long time to bow head, high stress, emotional problems and female gender.

SFPQ promotes the proliferation, migration and invasion of hepatocellular carcinoma cells and is associated with poor prognosis.

Liver cancer is a prevalent type of tumor worldwide. CRISPR-Cas9 technology can be utilized to identify therapeutic targets for novel therapeutic approaches. In this study, our goal was to identify key genes related to the survival of hepatocellular carcinoma (HCC) cells by analyzing the DepMap database based on CRISPR-Cas9. We screened candidate genes associated with HCC cell survival and proliferation from DepMap and identified their expression levels in HCC from the TCGA database. To develop a prognostic risk model based on these candidate genes, we performed WGCNA, functional pathway enrichment analysis, protein interaction network construction, and LASSO analysis. Our findings show that 692 genes were critical for HCC cell proliferation and survival, and among them, 571 DEGs were identified in HCC tissues. WGCNA categorized these 584 genes into three modules, and the blue module consisting of 135 genes was positively linked to the tumor stage. Using the MCODE approach in Cytoscape, we identified ten hub genes in the PPI network, and through Cox univariate analysis and Lasso analysis, we developed a prognostic model consisting of three genes (SFPQ, SSRP1, and KPNB1). Furthermore, knocking down SFPQ inhibited HCC cell proliferation, migration, and invasion. In conclusion, we identified three core genes (SFPQ, SSRP1, and KPNB1) that are essential for the proliferation and survival of HCC cells. These genes were used to develop a prognostic risk model, and knockdown of SFPQ was found to inhibit the proliferation, migration, and invasion of HCC cells.

Associations between vertebral bone marrow fat and sagittal spine alignment as assessed by chemical shift-encoding-based water-fat MRI.

BACKGROUND: The relationship between sagittal spine alignment and vertebral bone marrow fat is unknown. We aimed to assess the relationship between vertebral bone marrow fat and sagittal spine alignment using chemical shift-encoding-based water-fat magnetic resonance imaging (MRI). METHODS: A total of 181 asymptomatic volunteers were recruited for whole spine X-ray and lumbar MRI. Spine typing was performed according to the Roussouly classification and measurement of vertebral fat fraction based on the chemical shift-encoding-based water-fat MRI. One-way analysis of variance (ANOVA) was used to analyze the differences in vertebral fat fraction between spine types. The post hoc least significant difference (LSD) test was utilized for subgroup comparison after ANOVA. RESULTS: Overall, the vertebral fat fraction increased from L1 to L5 and was the same for each spine type. The vertebral fat fraction was the highest in type 1 and lowest in type 4 at all levels. ANOVA revealed statistically significant differences in fat fraction among different spine types at L4 and L5 (P < .05). The post hoc LSD test showed that the fat fraction of L4 was significantly different (P < .05) between type 1 and type 4 as well as between type 2 and type 4. The fat fraction of L5 was significantly different between type 1 and type 3, between type 1 and type 4, and between type 2 and type 4 (P < .05). CONCLUSION: Our study found that vertebral bone marrow fat is associated with sagittal spine alignment, which may serve as a new additional explanation for the association of sagittal alignment with spinal degeneration.

Tislelizumab plus chemotherapy as first-line treatment for recurrent or metastatic nasopharyngeal cancer: A multicenter phase 3 trial (RATIONALE-309).

Checkpoint inhibitors are effective in recurrent/metastatic nasopharyngeal cancer (R/M NPC). RATIONALE-309 (NCT03924986) randomized 263 treatment-naive R/M NPC patients to tislelizumab or placebo every 3 weeks (Q3W), plus chemotherapy (Q3W for 4-6 cycles). At interim analysis, progression-free survival (PFS) was significantly longer with tislelizumab-chemotherapy versus placebo-chemotherapy (hazard ratio: 0.52; 95% confidence interval: 0.38, 0.73; p < 0.0001). PFS benefit for tislelizumab-chemotherapy versus placebo-chemotherapy was observed regardless of programmed death-ligand 1 expression. PFS after next line of treatment and overall survival showed favorable trends for tislelizumab-chemotherapy versus placebo-chemotherapy. The safety profile was similar between arms. Gene expression profiling (GEP) identified immunologically "hot" tumors, and showed an activated dendritic cell (DC) signature was associated with tislelizumab-chemotherapy PFS benefit. Our results support that tislelizumab-chemotherapy should be considered as first-line treatment for R/M NPC, and GEP and activated DC signature results may help identify patients who might benefit most from immunochemotherapy treatment. VIDEO ABSTRACT.

Tailoring Electrolyte Distributions to Enable High-performance Li3 PS4 -based All-solid-state Batteries under Different Operating Temperatures.

Li3 PS4 shows great potential as solid electrolyte for all-solid-state lithium batteries (ASSLBs) due to its high Li-ion conductivity and excellent mechanical properties. However, its poor interfacial stability with bare high-nickel active materials in the cathode mixture inhibits the energy density and electrochemical performances of the corresponding LiNi0.6 Mn0.2 Co0.2 O2 /Li3 PS4 /Li-In battery. The Li3 InCl6 electrolyte with good electrochemical/chemical stability with bare LiNi0.6 Mn0.2 Co0.2 O2 (NCM622), which acts both as a Li-ion additive in the cathode mixture and as an isolation layer to isolate the direct contact between the sulfide electrolytes and active materials, providing superior solid/solid interface stabilities in the assembled battery. XPS and TEM results confirm that this strategy can mitigate the side reactions between the bare NCM622 and Li3 PS4 electrolytes. In-situ EIS and DRT results prove that this grading utilization of different solid electrolytes can greatly alleviate the poor electrochemical stability between those two materials, yielding smaller interfacial resistances. The corresponding battery delivers high discharge capacities at various C-rates under different operating temperatures. It delivers a much higher initial discharge capacity of 187.7 mAh g-1 (vs. 92.5 mAh g-1 ) at 0.1 C with a coulombic efficiency of 87.6% (vs. 71.1%) at room temperature. Moreover, this battery can even show highly reversible capacity with excellent cyclability when the operating temperature lowers to 0 and -20 °C. This work provides a hierarchical utilization strategy to fabricate sulfide electrolytes-based ASSLBs with high energy density and superior cycling performance combined with highly-oxidation cathode materials.

Chinese medicinal herbs for reducing endocrine therapy-induced side effects in patients with hormone receptor-positive breast cancer: a systematic review and meta-analysis.

CONTEXT: Chinese medicinal herbs (CMH) have been considered a potentially efficacious approach for patients with breast cancer that experience adverse effects from endocrine treatment. OBJECTIVE: To investigate the impact of CMH on endocrine therapy-induced side effects in patients with hormone receptor-positive (HR+) breast cancer. METHODS: Ten databases (e.g., PubMed, Web of Science, Cochrane Library, China National Knowledge Information Database and other databases) were searched up to 20 May 2022. The search terms included Chinese herb, breast cancer, endocrine therapy, clinical trial and their mesh terms. The study selection and data extraction were performed by two independent reviewers. The risk of bias was evaluated using the Cochrane risk of bias method. RESULTS: A total of 31 studies with 2288 patients were included. There were significant improvements in bone mineral density (BMD) [lumbar BMD (MD 0.08, 95% CI 0.07 to 0.09, p < 0.00001) and femoral neck BMD (MD 0.08, 95% CI 0.07 to 0.10, p < 0.00001)] and bone gal protein (BGP) (MD 0.24, 95% CI 0.17 to 0.31, p < 0.00001), with a significant reduction in triglycerides (MD -0.53, 95% CI -1.00 to -0.07, p < 0.05) and no effect on estradiol levels (MD 0.90, 95% CI -0.31 to 2.12, p = 0.15). CONCLUSIONS: CMH combined with complementary therapy can moderately reduce endocrine therapy-induced side effects, including bone loss and dyslipidemia in patients with HR + breast cancer, revealing the potential role of CMH in treating (HR+) breast cancer. More high-quality RCTs are warranted to further validate the effectiveness and safety of CMH.

Neglected immunoregulation: M2 polarization of macrophages triggered by low-dose irradiation plays an important role in bone regeneration.

Current studies have found that low-dose irradiation (IR) can promote bone regeneration. However, mechanism studies of IR-triggered bone regeneration mainly focus on the effects of osteoblasts, neglecting the role of the surrounding immune microenvironment. Here in this study, in vitro proliferation experiments showed that low-dose IR ≤2 Gy could promote the proliferation of bone marrow mesenchymal stem cells (BMSCs), and qRT-PCR assay showed that low-dose IR ≤2 Gy could exert the M2 polarization of Raw264.7 cells, while IR >2 Gy inhibited BMSC proliferation and triggered M1 polarization in Raw264.7 cells. The ALP and mineralized nodules staining showed that low-dose IR ≤2 Gy not only promoted osteoblast mineralization through IR-triggered osteoblast proliferation but also through M2 polarization of Raw264.7 cells, while high-dose IR >2 Gy had the opposite effect. The co-incubation of BMSC with low-dose IR irradiated Raw264.7 cell supernatants increased the mRNA expression of BMP-2 and Osx. The rat cranial defects model revealed that low-dose IR ≤2 Gy gradually promoted bone regeneration, while high-dose IR >2 Gy inhibited bone regeneration. Detection of macrophage polarity in peripheral blood samples showed that low-dose IR ≤2 Gy increased the expression of CD206 and CD163, but decreased the expression of CD86 and CD80 in macrophages, which indicated M2 polarization of macrophages in vivo, while high-dose IR had the opposite effect. Our finding innovatively revealed that low-dose IR ≤2 Gy promotes bone regeneration not only by directly promoting the proliferation of osteoblasts but also by triggering M2 polarization of macrophages, which provided a new perspective for immune mechanism study in the treatment of bone defects with low-dose IR.

Effects of acupuncture on the miR-146a-mediated IRAK1/TRAF6/NF-κB signaling pathway in rats with sarcopenia induced by D-galactose.

Background: Sarcopenia during aging is closely linked to sterile, low-grade, chronic inflammation. However, considering the increasingly aging global population, the effectiveness of existing treatments for sarcopenia is not exact, and acupuncture, as an effective anti-inflammatory therapy, has the potential to treat it. Methods: Fifty Sprague-Dawley rats were randomly allocated into five groups, including Control group, D-galactose (D-gal) group, D-gal + acupuncture (DA) group, D-gal + non-acupoint (DN) group and D-gal amino acid mixture (DAA) group. An aging rat was model constructed using D-gal for 12 weeks. Rats in the control group received 0.9% physiological saline daily. Treatment groups were acupunctured or given amino acid mixture interventions daily, and lasted for last 4 consecutive weeks. The effects of acupuncture were evaluated by the hematoxylin and eosin staining (H&E), transmission electron microscopic (TEM) examination and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assays. The anti-inflammatory mechanism of acupuncture was studied by using the expressions of microRNA-146a (miR-146a) mediated nuclear factor-kappa B (NF-κB) signaling pathway-related proteins were detected by immunofluorescence, western blotting, quantitative real-time polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA). Results: Rats injected by D-galactose (D-gal) revealed apparent skeletal muscle atrophy with significantly reduced cross-sectional area and fiber diameter. In contrast, acupuncture treatment alleviated these hallmarks of skeletal muscle atrophy and mitigated the mitochondrial aberrations and skeletal muscle apoptosis in D-gal rats. In addition, acupuncture also downgraded the overexpression of inflammatory factors in skeletal muscle, influenced miR-146a and the target genes level, and inhibited NF-κB nuclear translation in D-gal rats. Conclusions: Acupuncture may ameliorate skeletal muscle atrophy, and its effects may be associated with the control of mitochondrial function regulation and the suppression of inflammation.

LncRNA DGCR5 Silencing Enhances the Radio-Sensitivity of Human Esophageal Squamous Cell Carcinoma via Negatively Regulating the Warburg Effect.

Recently, long noncoding RNAs (lncRNAs) and the Warburg effect have been reported to play important roles in the radio-sensitivity of tumor cells. Survival correlates with pathologic responses to chemoradiotherapy and improving responses to radiation may translate into improved survival. This study aims to examine the effects and mechanisms of lncRNA DGCR5 and the Warburg effect on ESCC cell radiosensitivity. Levels of DGCR5, miR-195 and hexokinase 2 (HK2) expression in ESCC tissues and cells were determined and their clinical significance was analyzed. TE-1 and KYSE150 cells received a 6 Gy dose of X-ray radiation and their survival, proliferation and apoptosis were evaluated using colony formation assays, CCK-8 assays, and flow cytometry, respectively. Lactic acid production and glucose consumption were also examined in both cell types. Finally, the expression of apoptotic proteins was assessed using Western blotting. Analysis revealed that DGCR5 and HK2 were overexpressed in ESCC, while miR-195 was under expressed. Moreover, it was demonstrated that down-regulation of DGCR5 inhibited cell proliferation and promoted apoptosis, resulting in increased radiosensitivity by inhibition of the Warburg Effect. Conversely, overexpression of DGCR5 exhibited an opposite phenomenon in vitro. When investigating the mechanism, we identified that miR-195 was predicted to be a direct downstream target of DGCR5. Meanwhile, HK2 was predicted to be a direct downstream target of miR-195. Dual-luciferase reporter assays verified the direct interaction between these molecules. Finally, in vivo experiments were utilized to validate that knockdown of DGCR5 suppressed the Warburg effect via targeting of the miR-195/HK2 axis to increase the radiosensitivity of ESCC. Our study reveals that down-regulation of DGCR5 resulted in inhibition of the Warburg effect through interaction with the miR-195/HK2 axis increasing ESCC cell apoptosis after irradiation, thus enhancing cell radiosensitivity.

Effects of qigong exercise on the physical and mental health of college students: a systematic review and Meta-analysis.

BACKGROUND: Physical and mental health problems are becoming more serious among college students due to lifestyle changes and increased academic stress. Qigong exercise has been regarded as a potentially effective intervention to improve the physical and mental health of college students. METHODS: Eleven databases were searched from their respective inception dates to April 2022. Relevant randomized controlled trials (RCTs) were included. Physical and psychological conditions, including limb muscle strength, flexibility, cardiorespiratory endurance, vital capacity, blood pressure and heart rate, as well as depression, anxiety and mood, were evaluated. The risk of bias was assessed with the Cochrane Collaboration tool. RESULTS: Sixteen randomized controlled trials were included in the meta-analysis. Significant improvements in cardiorespiratory endurance (MD = 3.83, 95% CI: 0.99 to 6.67, P = 0.008) and flexibility (MD = 3.01, 95% CI: 1.21 to 4.81, P = 0.001) were observed. We also observed that Qigong exercise significantly reduced depression and anxiety symptoms (SMD=-0.89, 95% CI: -1.17 to -0.61, P < 0.00001; SMD=-0.78, 95% CI: -1.31 to -0.25, P = 0.004). Nevertheless, no significant effects on muscle strength, vital capacity, blood pressure, heart rate or mood were found. CONCLUSION: Qigong exercise was advantageous for college students in terms of improving flexibility and cardiorespiratory endurance and alleviating depression and anxiety to some extent. However, due to the limited number of eligible trials and the low methodological quality, more well-designed RCTs are needed in the future.