Sulfated fucans from algae Saccharina japonica promotes intestinal stem cell-mediated intestinal development in juvenile mouse by modulating the gut microbiota.

Intestinal development has a crucial role in the absorption of nutrients and the ability to resist infections in the early stages of life. This study utilized a 3-week-old C57BL/6 mice model to evaluate the beneficial impacts of sulfated fucans from Saccharina japonica (SJ-FUC) on the growth and development of the intestines. SJ-FUC enhanced the dimensions of the intestine, specifically the length, height of villi, and depth of the crypts. Additionally, it raised the mRNA expression of ZO-1 and Occludin, hence enhancing the structural integrity of the intestinal epithelium. SJ-FUC significantly increased mRNA expression of Lyz1, Muc2, and Math1, which resulted in the promotion of intestinal epithelial development. Furthermore, SJ-FUC augmented the mRNA levels of the ISC markers (Lgr5, Olfm4, and Ascl2). Our further research uncovered that SJ-FUC has a positive impact on the growth of beneficial bacteria, such as Akkermansia, Dubosiella, and Lactobacillus, which in turn promotes epithelial development of the intestine. In summary, our research indicates that SJ-FUC has a beneficial impact on the growth of the intestines in young mice. This is achieved by enhancing the stemness of intestinal stem cells (ISCs) and promoting the formation of the intestinal epithelium through the regulation of gut bacteria.

Bioinformatics Analysis of the Panax ginseng Cyclophilin Gene and Its Anti-Phytophthora cactorum Activity.

In this paper, Panax ginseng cyclophilin (PgCyP) was successfully obtained through a genetic engineering technique. A bioinformatics method was used to analyze the physicochemical properties and structure of PgCyP. The results showed that PgCyP belongs to the cyclophilin gene family. The protein encoded by the PgCyP gene contains the active site of PPIase (R62, F67, and H133) and a binding site for cyclosporine A (W128). The relative molecular weight of PgCyP is 187.11 bp; its theoretical isoelectric point is 7.67, and it encodes 174 amino acids. The promoter region of PgCyP mainly contains the low-temperature environmental stress response (LTR) element, abscisic acid-responsive cis-acting element (ABRE), and light-responsive cis-acting element (G-Box). PgCyP includes a total of nine phosphorylation sites, comprising four serine phosphorylation sites, three threonine phosphorylation sites, and two tyrosine phosphorylation sites. PgCyP was recombined and expressed in vitro, and its recombinant expression was investigated. Furthermore, it was found that the recombinant PgCyP protein could effectively inhibit the germination of Phytophthora cactorum spores and the normal growth of Phytophthora cactorum mycelia in vitro. Further experiments on the roots of susceptible Arabidopsis thaliana showed that the PgCyP protein could improve the resistance of arabidopsis to Phytophthora cactorum. The findings of this study provide a basis for the use of the PgCyP protein as a new type of green biopesticide.

Lymphatic absorption characteristics of eicosapentaenoic acid -enriched phosphoethanolamine plasmalogen and its gastric and intestinal hydrolysates.

The aim of this work was to study the lymphatic absorption characteristics of gastric hydrolysates and intestinal hydrolysates of eicosapentaenoic acid-enriched phosphoethanolamine plasmalogen (EPA-pPE) with focusing on the fate of EPA and vinyl ether bonds in the lymph fluid using lymphatic intubation and lipidomics. The results showed that the EPA peak occurred earlier in the gastric (1.5 h) and intestinal (1 h) hydrolysates than in the EPA-pPE group (3 h) with EPA peak content being 2.03 and 1.46 times higher, suggesting pre-hydrolysis contributed to lymphatic absorption. Further, duodenal injection of gastric hydrolysates sn2 EPA-lysoPE produced higher levels of EPA-LPC, PC, PE, and PG. Meanwhile, intestinal hydrolysates free EPA and sn1 lyso-pPE enriched the sn1 + 2 + 3 TG (20:5_20:5_20:5) and increased the vinyl ether bond-containing lipids, such as PE (18:0p_18:0) and PE (18:0p_20:4). This study provides insight into dietary molecular structures of EPA and plasmalogen.

Copper pyrazole addition regulates soil mineral nitrogen turnover by mediating microbial traits.

The huge amount of urea applied has necessitated best-developed practices to slow down the release of nitrogen (N) fertilizer while minimizing nitrate loss. However, the impact of nitrification inhibitors on mineral-N turnover and the associated microbial mechanisms at different stages remains unknown. A 60-day incubation experiment was conducted with four treatments: no fertilizer (CK), urea (U), urea with copper pyrazole (UC), and urea coated with copper pyrazole (SUC), to evaluate the changes about soil ammonia N ( N H 4 + -N) and nitrate N ( NO 3 - -N) levels as well as in soil microbial community throughout the whole incubation period. The results showed that copper pyrazole exhibited significantly higher inhibition rates on urease compared to other metal-pyrazole coordination compounds. The soil N H 4 + -N content peaked on the 10th day and was significantly greater in UC compared to U, while the NO 3 - -N content was significantly greater in U compared to UC on the 60th day. Copper pyrazole mainly decreased the expression of nitrifying (AOB-amoA) and denitrifying (nirK) genes, impacting the soil microbial community. Co-occurrence network suggested that Mycobacterium and Cronobacter sakazakii-driven Cluster 4 community potentially affected the nitrification process in the initial phase, converting N H 4 + -N to NO 3 - -N. Fusarium-driven Cluster 3 community likely facilitated the denitrification of NO 3 - -N and caused N loss to the atmosphere in the late stage. The application of copper pyrazole may influence the process of nitrification and denitrification by regulating soil microbial traits (module community and functional genes). Our research indicates that the addition of copper pyrazole alters the community function driven by keystone taxa, altering mineral-N turnover and supporting the use of nitrification inhibitors in sustainable agriculture.

Advancements in precision nanomedicine design targeting the anoikis-platelet interface of circulating tumor cells.

Tumor metastasis, the apex of cancer progression, poses a formidable challenge in therapeutic endeavors. Circulating tumor cells (CTCs), resilient entities originating from primary tumors or their metastases, significantly contribute to this process by demonstrating remarkable adaptability. They survive shear stress, resist anoikis, evade immune surveillance, and thwart chemotherapy. This comprehensive review aims to elucidate the intricate landscape of CTC formation, metastatic mechanisms, and the myriad factors influencing their behavior. Integral signaling pathways, such as integrin-related signaling, cellular autophagy, epithelial-mesenchymal transition, and interactions with platelets, are examined in detail. Furthermore, we explore the realm of precision nanomedicine design, with a specific emphasis on the anoikis‒platelet interface. This innovative approach strategically targets CTC survival mechanisms, offering promising avenues for combatting metastatic cancer with unprecedented precision and efficacy. The review underscores the indispensable role of the rational design of platelet-based nanomedicine in the pursuit of restraining CTC-driven metastasis.

Exploring chemical markers and identifying phenolic markers using a metabolomics strategy and chemometrics to study the different origins of defatted Coix seed.

Coix seed, a prevalent medicinal and food-homologous plant, is extensively consumed in Asia. It has various pharmacological properties, such as anti-inflammatory and anticancer effects. Coix seed oil, as its main component, is widely produced. However, during the industrial production process of Coix seed oil, substantial byproducts are produced, namely, defatted Coix seeds, which are also worth researching. Currently, it remains unclear whether there will be differences in defatted Coix seeds obtained from different geographical locations, with previous studies reporting that phenolic compounds in defatted Coix seeds have a significant utilization value. In this study, firstly, the TPC and TFC of samples collected in three temperature zones were detected. Subsequently, UPLC-Q-TOF/MS was used to analyze the samples, and a metabolomics data processing strategy and chemometric analysis method were established. We have confirmed the presence of flavonoids and phenolic compounds in 30 batches of Coix seed from different temperature zones in China, and concluded that the overall quality of Coix seed from different batches is relatively stable. With the established strategy, 12 characteristic chemical markers were identified, and 5 valuable phenolic chemical markers were selected for distinguishing the origin of Coix seed and evaluating the quality of defatted Coix seed. Among them, proanthocyanidin A2 has the highest content in defatted Coix seed in subtropical regions, while the content of caffeic acid, naringin, rutin, and chlorogenic acid decreases from north to south. The strategy proposed in this study may provide some basis for the quality control and rational use of defatted Coix seeds.

Adverse events associated with Atogepant: a FAERS-based pharmacovigilance analysis.

BACKGROUND: Migraine, a prevalent neurovascular disorder, can significantly disrupt an individual's daily life. Atogepant (AGN-241689), an orally administered small-molecule drug classified as a calcitonin gene-related peptide receptor antagonist, is utilized for prophylactic migraine treatment. The objective of this study was to investigate adverse events (AEs) associated with atogepant through data mining in the FDA Adverse Event Reporting System (FAERS) to enhance clinical safety. METHODS: Data for atogepant were obtained from the FAERS database covering Q3 2021 through Q4 2023. Disproportionality analysis was employed to quantify relevant AEs associated with atogepant. Reported Ratio of Ratios (ROR) was utilized for identifying risk signals within the FAERS data. This methodology relies on the System Organ Class (SOC) and Preferred Terminology (PT) of the Medical Dictionary for Regulatory Activities (MedDRA). RESULTS: From the FAERS database, a collection of 7,991,243 reports was obtained. Among these reports, a subset of 3015 was identified as 'primary suspected (PS)' AEs specifically related to atogepant. AEs induced by atogepant were observed across 27 organ systems. A total of 48 significantly disproportionate Preferred Terminologies (PTs) meeting all four algorithms were identified. CONCLUSION: Our study has identified adverse events (AEs) associated with atogepant, potentially providing crucial support for the clinical monitoring and risk identification of atogepant.

End-To-End FRET Enabling Direct Measurement of Oligomer Chain Conformations and Molecular Weight in Reaction Solutions.

Förster resonance energy transfer (FRET) is an established tool for measuring distances between two molecules (donor and acceptor) on the nanometer scale. In the field of polymer science, the use of FRET to measure polymer end-to-end distances (Ree) often requires complex synthetic steps to label the chain ends with the FRET pair. This work reports an anthracene-functionalized chain-transfer agent for reversible addition-fragmentation chain-transfer (RAFT) polymerization, enabling the synthesized chains to be directly end-labeled with a donor and acceptor without the need for any post-polymerization functionalization. Noteworthily, this FRET method allows for chain conformation measurements of low molecular weight oligomers in situ, without any work-up steps. Using FRET to directly measure the average Ree of the oligomer chains during polymerization, the chain growth of methyl methacrylate, styrene, and methyl acrylate is investigated as a function of reaction time, including determining their degree of polymerization (DP). It is found that DP results from FRET are consistent with other established measurement methods, such as nuclear magnetic resonance (NMR) spectroscopy. Altogether, this work presents a broadly applicable and straightforward method to in situ characterize Ree of low molecular weight oligomers and their DP during reaction.

Wear prediction of high performance rolling bearing based on 1D-CNN-LSTM hybrid neural network under deep learning.

The finished precision rolling bearings after processing are required to pass the life test before they can be put into the market. The life testing takes a lot of time and expense. Aiming to solve the problem of time and expense, the 1D-CNN and 1D-CNN-LSTM hybrid neural networks are used for deep learning based on the existing rolling bearing life big data results (a total of 791152 date). Taking the wear of bearing as the target, the life prediction of bearing is carried out by using Python. The results show that: (1) 1D-CNN-LSTM algorithm and "all parameters" are selected as the best prediction options. (2) "XYZ direction displacement" and "all parameters" have the best fitting effect on the predicted wear value, and the MAPE is 4.18877, 1.2102, 2.68903 and 1.19981, respectively. The 1D-CNN-LSTM algorithm is slightly better than the 1D-CNN algorithm. (3) Using 1D-CNN-LSTM algorithm and "all parameters" to predict the bearing wear life will obtain good results. Compared with the highest 1D-CNN and "Four Bearing Temperatures" parameters, it is reduced by 14.7 times. (4) The prediction process and results provide a wear prediction method for relevant bearing enterprises in the experimental running-in stage. It can also provide reliable research ideas for subsequent related enterprises and scholars.

Changes of vertical distribution of Microcystis colonies driven by short-term rainfall: Disappearance and reformation of surface bloom.

Global climate warming and human activities have increased the magnitude and frequency of Microcystis surface blooms, posing significant threats to freshwater ecosystems and human health over recent decades. Heavy rainfall events have been reported to cause the disappearance of these blooms. Although some studies have employed turbulence models to analyze the movement characteristics of Microcystis colonies, the impact of rainfall is complex, comprehensive investigations on their vertical migration induced by short-term rainfall are still necessary. Utilizing monitoring data from eutrophic ponds and controlled simulation experiments, this study examines the short-term impacts of rainfall on the vertical distribution of Microcystis in the water column. Our findings indicate that rainfall contributes to the disappearance of Microcystis blooms by reducing the quantity of small to medium-sized colonies (0-100 µm) at the surface, subsequently decreasing the overall Microcystis biomass. As rainfall intensity increases, larger colonies migrate deeper into the water column. At a rainfall threshold of 666 mm, the difference in the median volume diameter (DV50) of Microcystis colonies between the surface and bottom reaches a minimal value of 3.09%. Post-rainfall, these colonies rapidly ascend, aggregate into larger formations, and re-establish surface blooms. The greater the rainfall, the smaller the resultant Microcystis biomass, albeit with larger aggregated colony sizes. When rainfall exceeds 222 mm, the recovery rate of surface Microcystis biomass remains below 100%, decreasing to 19.48% at 666 mm of rainfall, while the median volume diameter (DV50) of the colonies increases to 139.07% of its pre-rainfall level. Furthermore, compared to pre-rainfall conditions, the photosynthetic activity of the surface Microcystis colonies was enhanced and the secretion of EPS was increased under heavy rainfall conditions. Our results identify a critical response time of 30 min for Microcystis colonies to rainfall, after which the response ceases to intensify. These insights are crucial for predicting post-rain Microcystis bloom dynamics and aiding management authorities in timely interventions.

Designing antibacterial materials through simulation and theory.

Antibacterial materials have a wide range of potential applications in bio-antimicrobial, environmental antimicrobial, and food antimicrobial fields due to their intrinsic antimicrobial properties, which can circumvent the development of drug resistance in bacteria. Understanding the intricate mechanisms and intrinsic nature of diverse antibacterial materials is significant for the formulation of guidelines for the design of materials with rapid and efficacious antimicrobial action and a high degree of biomedical material safety. Herein, this review highlights the recent advances in investigating antimicrobial mechanisms of different antibacterial materials with a particular focus on tailored computer simulations and theoretical analysis. From the view of structure and function, we summarize the characteristics and mechanisms of different antibacterial materials, introduce the latest advances of new antibacterial materials, and discuss the design concept and development direction of new materials. In addition, we underscore the significance of employing simulation and theoretical methodologies to elucidate the intrinsic antimicrobial mechanisms, which is crucial for a comprehensive comprehension of the control strategies, safer biomedical applications, and the management of health and environmental concerns associated with antibacterial materials. This review could potentially stimulate further endeavors in fundamental research and facilitate the extensive utilization of computational and theoretical approaches in the design of novel functional nanomaterials.

Immunosenescence: A new direction in anti-aging research.

The immune system is a major regulatory system of the body, that is composed of immune cells, immune organs, and related signaling factors. As an organism ages, observable age-related changes in the function of the immune system accumulate in a process described as 'immune aging. Research has shown that the impact of aging on immunity is detrimental, with various dysregulated responses that affect the function of immune cells at the cellular level. For example, increased aging has been shown to result in the abnormal chemotaxis of neutrophils and decreased phagocytosis of macrophages. Age-related diminished functionality of immune cell types has direct effects on host fitness, leading to poorer responses to vaccination, more inflammation and tissue damage, as well as autoimmune disorders and the inability to control infections. Similarly, age impacts the function of the immune system at the organ level, resulting in decreased hematopoietic function in the bone marrow, a gradual deficiency of catalase in the thymus, and thymic atrophy, resulting in reduced production of related immune cells such as B cells and T cells, further increasing the risk of autoimmune disorders in the elderly. As the immune function of the body weakens, aging cells and inflammatory factors cannot be cleared, resulting in a cycle of increased inflammation that accumulates over time. Cumulatively, the consequences of immune aging increase the likelihood of developing age-related diseases, such as Alzheimer's disease, atherosclerosis, and osteoporosis, among others. Therefore, targeting the age-related changes that occur within cells of the immune system might be an effective anti-aging strategy. In this article, we summarize the relevant literature on immune aging research, focusing on its impact on aging, in hopes of providing new directions for anti-aging research.

Tailoring Dzyaloshinskii-Moriya Interaction and Spin-Hall Topological Hall Effect in Insulating Magnetic Oxides by Interface Engineering.

Chiral spin textures, as exotic phases in magnetic materials, hold immense promise for revolutionizing logic, and memory applications. Recently, chiral spin textures have been observed in centrosymmetric magnetic insulators (FMI), due to an interfacial Dzyaloshinskii-Moriya interaction (iDMI). However, the source and origin of this iDMI remain enigmatic in magnetic insulator systems. Here, the source and origin of the iDMI in Pt/Y3Fe5O12 (YIG)/substrate structures are deeply delved by examining the spin-Hall topological Hall effect (SH-THE), an indication of chiral spin textures formed due to an iDMI. Through carefully modifying the interfacial chemical composition of Pt/YIG/substrate with a nonmagnetic Al3+ doping, the obvious dependence of SH-THE on the interfacial chemical composition for both the heavy metal (HM)/FMI and FMI/substrate interfaces is observed. The results reveal that both interfaces contribute to the strength of the iDMI, and the iDMI arises due to strong spin-orbit coupling and inversion symmetry breaking at both interfaces in HM/FMI/substrate. Importantly, it is shown that nonmagnetic substitution and interface engineering can significantly tune the SH-THE and iDMI in ferrimagnetic iron garnets. The approach offers a viable route to tailor the iDMI and associated chiral spin textures in low-damping insulating magnetic oxides, thus advancing the field of spintronics.

Dissecting the mediating role of cytokines in the interaction between immune traits and sepsis: insights from comprehensive mendelian randomization.

Background: Sepsis is a life-threatening organ dysfunction resulting from a dysregulated host response to infection, yet the potential causal relationship between the immunophenotype and sepsis remains unclear. Methods: Genetic variants associated with the immunophenotype served as instrumental variables (IVs) in Mendelian randomization (MR) to elucidate the causal impact of the immunophenotype on three sepsis outcomes. Additionally, a two-step MR analysis was conducted to identify significant potential mediators between the immunophenotype and three sepsis outcomes. Results: Our MR analysis demonstrated a significant association between the immunophenotype and sepsis outcome, with 36, 36, and 45 the immunophenotype associated with the susceptibility, severity, and mortality of sepsis, respectively. Specifically, our analysis highlighted the CD14+ CD16+ monocyte phenotype as a significant factor across all three sepsis outcomes, with odds ratios (ORs) and corresponding confidence intervals (CIs) indicating its impact on sepsis (OR = 1.047, CI: 1.001-1.096), sepsis in Critical Care Units (OR = 1.139, CI: 1.014-1.279), and sepsis-related 28-day mortality (OR = 1.218, CI: 1.104-1.334). Mediation analyses identified seven cytokines as significant mediators among 91 potential cytokines, including interleukin-5 (IL-5), S100A12, TNF-related apoptosis-inducing ligand (TRAIL), T-cell surface glycoprotein CD6 isoform, cystatin D, interleukin-18 (IL-18), and urokinase-type plasminogen activator (uPA). Furthermore, reverse MR analysis revealed no causal effect of sepsis outcomes on the immunophenotype. Conclusion: Our MR study suggests that the immunophenotype is significantly associated with the susceptibility, severity, and mortality of patient with sepsis, providing, for the first time, robust evidence of significant associations between immune traits and their potential risks. This information is invaluable for clinicians and patients in making informed decisions and merits further attention.

Prognosis of Pneumonia in Head and Neck Squamous Cell Carcinoma Patients Who Received Concurrent Chemoradiotherapy.

Concurrent chemoradiotherapy (CCRT) is the standard treatment for patients with locally advanced squamous cell carcinoma of the head and neck (HNSCC). Pneumonia is a significant complication in these patients. This study aims to identify pneumonia risk factors and their impact on survival in HNSCC patients undergoing CCRT. Data from the Chang Gung Research Database (CGRD) were retrospectively reviewed for patients treated between January 2007 and December 2019. Of 6959 patients, 1601 (23.01%) developed pneumonia, resulting in a median overall survival (OS) of 1.2 years compared to 4.9 years in the non-pneumonia group (p < 0.001). The pneumonia group included older patients with advanced tumors, more patients with diabetes mellitus (DM), more patients with invasive procedures, longer chemotherapy and radiotherapy durations, and lower body weight. The 2-year, 5-year, and 10-year OS rates were significantly lower in the pneumonia group. Multivariate analysis identified alcohol consumption, DM, gastrostomy, nasogastric tube use, longer chemotherapy, and a 2-week radiotherapy delay as independent risk factors. Understanding these risks can lead to early interventions to prevent severe pneumonia-related complications. A better understanding of the risks of pneumonia enables early and aggressive interventions to prevent severe complications.

Vitamin A influences the incretin hormone profiles by activating the retinoic acid receptor ß.

BACKGROUND: This study aimed to investigate the impact of Vitamin A (VA) on intestinal glucose metabolic phenotypes. METHODS: Male C57BL/6 mice were randomized assigned to a VA-normal diet (VAN) or a VA-deficient diet (VAD) for 12 weeks. After12 weeks, the VAD mice were given 30 IU/g/d retinol for 10 days and VAN diet (VADN) for 10 weeks. By using glucose tolerance tests, immunofluorescence staining, quantitative polymerase chain reaction, siRNA transduction, and enzyme-linked immunosorbent assay, the glucose metabolic phenotypes as well as secretory function and intracellular hormone changes of STC-1 were assessed. RESULTS: VAD mice showed a decrease of glucose-stimulated insulin secretion and a loss of intestinal glucagon-like peptide-1 (GLP-1) expression. Through reintroducing dietary VA to VAD mice, the intestinal VA levels, GLP-1 expression and normal glucose can be restored. The incubation with retinol increased VA signaling factors expression within STC-1 cells, especially retinoic acid receptor ß (RARß). The activation of RARß restored intracellular incretin hormone synthesis and secretory function. CONCLUSIONS: VA deficiency leads to an imbalance of intestinal glucose metabolic phenotypes through a mechanism involving RARß signaling pathway, suggesting a new method to achieve the treatment for VAD induced glucose metabolism impairment.

Unpaired Image-text Matching via Multimodal Aligned Conceptual Knowledge.

Recently, the accuracy of image-text matching has been greatly improved by multimodal pretrained models, all of which use millions or billions of paired images and texts for supervised model learning. Different from them, human brains can well match images with texts using their stored multimodal knowledge. Inspired by that, this paper studies a new scenario as unpaired image-text matching, in which paired images and texts are assumed to be unavailable during model learning. To deal with it, we accordingly propose a simple yet effective method namely Multimodal Aligned Conceptual Knowledge (MACK). First, we collect a set of words and their related image regions from publicly available datasets, and compute prototypical region representations to obtain pretrained general knowledge. To make the obtained knowledge better suit for certain datasets, we refine it using unpaired images and texts in a self-supervised learning manner to obtain fine-tuned domain knowledge. Then, to match given images with texts based on the knowledge, we represent parsed words in the texts by prototypical region representations, and compute region-word similarity scores. At last, the scores are aggregated based on bidirectional similarity pooling into an image-text similarity score, which can be directly used for unpaired image-text matching. The proposed MACK is complementary with existing models, which can be easily extended as a re-ranking method to substantially improve their performance of zero-shot and cross-dataset image-text matching.

Relationship between dyadic communication and body image among women with breast cancer.

PURPOSE: Dyadic communication positively affects marital relationships, good relationships help restore body image, and this study explores the relationship between dyadic communication and body image of breast cancer patients. METHODS: Cross-sectional correlation design with convenience sampling was used to recruit participants from two outpatient medical centers. Demographic information, medical records, and two questionnaires, dyadic communicative resilience scale (DCRS) and body image scale (BIS), were administered. Participants comprised women with breast cancer and their partners. Multiple regression analysis was performed to control related factors to understand the association between the DCRS of the women with breast cancer and their partners and the women's body image. Analysis of variance (ANOVA) was performed to analyze between three categories of couple's communication status (consistent and good, consistent and poor, and inconsistent) and body image of women with breast cancer. RESULTS: Data were obtained from 162 women with breast cancer and 90 partners. The study found (1) significant correlation between the women's perception of their communication and body image, (2) humor in partner's perception of their communication was significantly associated with women's body image, and (3) dyadic communication that both patients and partners were consistent and good in the domain of keeping pre-cancer routines and attractiveness was associated with women's body image. CONCLUSION: The correlation between dyadic communication and the body image of women with breast cancer is significant. Improving communication specific on keeping pre-cancer routines and attractiveness between women with breast cancer and their partners could enhance the women's body image.

Preoperative neutrophil-to-lymphocyte ratio after chemoradiotherapy for esophageal squamous cell carcinoma associates with postoperative pulmonary complications following radical esophagectomy.

OBJECTIVES: Esophagectomy after chemoradiotherapy is associated with an increased risk of surgical complications. The significance of preoperative neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio after chemoradiotherapy in predicting pulmonary complications following radical esophagectomy in esophageal squamous cell carcinoma patients receiving preoperative chemoradiotherapy remains unknown. We aimed to investigate the utility of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in predicting the pulmonary complications of esophagectomy after preoperative chemoradiotherapy. METHODS: We retrospectively reviewed 111 consecutive patients with stage III esophageal squamous cell carcinoma who received preoperative chemoradiotherapy followed by esophagectomy between January 2009 and December 2017. Laboratory data were collected before the operation and surgical outcomes and complications were recorded. We calculated neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and correlated them with the clinical parameters, postoperative complications, overall survival, and disease-free survival. RESULTS: Postoperative complications were observed in 75 (68%) patients, including 32 (29%) with pulmonary complications. The preoperative neutrophil-to-lymphocyte ratio of ≥ 3 (P = 0.008), clinical T4 classification (P = 0.007), and advanced stage IIIC (P = 0.012) were significantly associated with pulmonary complications. Pulmonary complication rates were 15% and 38% in patients with preoperative neutrophil-to-lymphocyte ratio of < 3 and ≥ 3, respectively. Preoperative neutrophil-to-lymphocyte ratio was not associated with the oncological stratification such as pathological T classification, pathological N classification, and pathological AJCC stage. The 3-year overall survival rates were 70% and 34% in patients with preoperative neutrophil-to-lymphocyte ratio of < 3 and ≥ 3, respectively (P = 0.0026). The 3-year disease-free survival rates were 57% and 29% in patients with preoperative neutrophil-to-lymphocyte ratio of < 3 and ≥ 3, respectively (P = 0.0055). The preoperative neutrophil-to-lymphocyte ratio of ≥ 3 was independently associated with more pulmonary complications, inferior overall survival, and worse disease-free survival. CONCLUSIONS: Elevated preoperative neutrophil-to-lymphocyte ratio after chemoradiotherapy is independently associated with higher pulmonary complication rate following radical esophagectomy and poor prognosis in patients with esophageal squamous cell carcinoma receiving preoperative chemoradiotherapy. Preoperative neutrophil-to-lymphocyte ratio is routinely available in clinical practice and our findings suggest it can be used as a predictor for pulmonary complications after esophagectomy in patients with esophageal squamous cell carcinoma receiving preoperative chemoradiotherapy.

Global current research status and future hotspots in osteoporotic fracture based on bibliometric assessment and visualization techniques.

BACKGROUND: In the past decade, the evolution of themes in the field of osteoporotic fractures has changed from epidemiology and prediction of long-term morbidity, risk assessment of osteoporotic fractures, and zoledronic acid and denosumab in the treatment of osteoporosis to treatment guidelines for osteoporosis and the side effects caused by anti-osteoporotic drugs. AIM: To understand the trends and hotspots in osteoporotic fracture research. METHODS: Original articles were retrieved between January 1, 2010, and December 31, 2019, from the Web of Science Core Collection database. CiteSpace software facilitated the analysis and visualization of scientific productivity and emerging trends. RESULTS: Nine studies were identified using bibliometric indices, including citation, centrality, and sigma value, which might indicate a growing trend. Through clustering, we identified six major hot subtopics. Using burst analysis, top-5 references with the strongest bursting strength after 2017 were identified, indicating a future hotspot in this field. CONCLUSION: Current hot subtopics in osteoporotic fracture research include atypical femoral fractures, androgen deprivation therapy, denosumab discontinuation, hip fractures, trabecular bone score (TBS), and bone phenotype. Management and prevention of secondary fractures in patients with osteoporotic fractures, TBSs, and long-term administration strategy for zoledronic acid are expected to become research hotspots.